Engineering Manager jobs at SeatGeek

Hi, we're CompanyCam. We're a simple-to-use photo documentation and productivity app for contractors of all commercial and home services industries. Packed with intuitive functionality, CompanyCam facilitates unparalleled communication and accountability across a contractor's entire business. We're committed to providing a consumer-grade, game-changing experience that helps our users build trust within their company and with their customers. But don't let that corporate description fool you-the people behind our buttoned-up product are laid-back (but hardworking), genuine, and kickass, and you could be one of them! The Role We're looking for a strategic, people-first, results-driven Engineering Manager to join our engineering team. As an Engineering Manager, you'll be responsible for coaching and growing a high performing team of engineers, helping teams navigate ambiguity, and driving delivery with a focus on impact and quality. You'll partner closely with other leaders across Engineering, Product, and Design to shape priorities, foster collaboration, and eliminate blockers, tackling everything from huge company initiatives to modest but important bug fixes, from start to finish. Most importantly, you'll help level up our engineering organization-whether that's by mentoring others, leading cross-team initiatives, refining hiring practices, or just modeling what good leadership looks like. We're looking for someone who's excited to invest in both people and systems, and who knows that building great teams is just as important as shipping great code. Working At CompanyCam Our engineering team is remote-first, spanning every time zone in the United States. We welcome people from all backgrounds and really don't care whether or not you have a CS degree, or even a high school diploma. All that matters is that you're not an a**hole and you're good at what you do. At CompanyCam, we're driven to produce work with meaningful outcomes. That means not just dumping features and "improvements" but being able to reflect and learn from our outputs. We're actively working to center our work on continuous discovery habits (CDH) as outlined by Teresa Torres. Okay, that's how we identify the work to do, but how do we actually work? On Platform, our team is made up of engineers, an Engineering Manager, and discipline leads that help shape and refine our priorities. We take a flexible approach, pulling from Agile, Scrum, Kanban, and even Shape Up. Rather than being overly prescriptive, we provide guardrails and just enough constraints to keep teams moving. Each team is expected to collaborate, iterate, and refine their best practices to produce high-quality work. What You'll Do Lead and develop a team of engineers, driving engagement, retention, and performance Provide regular feedback, coaching, and career development support Proactively address performance concerns and foster a growth mindset culture Ensure delivery predictability, technical quality, and reliable execution of business goals Create an environment where the team thrives through clear communication, strong processes, and positive culture Remove blockers, prioritize effectively, and align team focus with the highest-impact work Partner with tech leads and cross-functional stakeholders to drive planning, solution design, and collaboration Act as a hiring manager: recruit, interview, make offers, and build high-performing teams Anticipate future hiring needs, and design onboarding experiences that set new hires up for success Contribute to department-wide initiatives, sharing feedback on processes, tools, and best practices Identify and manage dependencies between teams, championing alignment and collaboration The Impact You'll Have At CompanyCam, your work makes a real impact. Whether you're writing code, supporting customers, or designing experiences, your contributions directly shape the product we deliver and the people we serve. We're building something that helps real people solve real problems-and we believe that kind of work is best done by a team that reflects the world around us. In this role, you'll drive impact: The team you lead will ship smarter, faster, and more reliably - delivering meaningful business value without burning out. Engineers will grow in their careers and feel supported, engaged, and excited to do their best work. Your leadership will shape a culture of ownership, curiosity, and craftsmanship across the org. Technical quality will improve, with thoughtful tradeoffs made between speed, maintainability, and long-term vision. Must-haves These are our non-negotiables: Show up: Have the courage to do difficult but necessary work. Grow up: Take ownership, learn continuously, and bring a growth mindset. Do good: Treat your teammates and customers the way you'd want to be treated. 2+ years of experience managing people in a team context, including developing strong performers Senior level engineering experience with knowledge of React and/or React Native Strong experience interviewing and hiring software engineers Growth mindset, adaptability, and a knack for creativity and innovation You live and work permanently in the U.S. (We're not set up to hire outside the U.S.). Nice-to-haves Familiarity with Continuous Discovery Habits Experience with Ruby on Rails Benefits and Compensation This is a salaried position at CompanyCam. Our salary range is $185,000 - $215,000 per year and is based on experience. We also offer meaningful equity and other benefits. CompanyCam is an equal-opportunity employer committed to respect, inclusion, and growth. We work hard, take responsibility, and support each other. Great ideas come from all backgrounds, and we carefully consider every applicant without regard to personal characteristics or traits. Even if your work experience doesn't align perfectly, we encourage you to apply. What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team. For any accommodations or technical issues related to the online application or interview process, please email ******************* and we'll respond promptly. Please do not include any medical or health information in your message. Note: Resumes sent to this email will not be reviewed or responded to. To be considered for a position, you must apply directly through our careers page.

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. About the Opportunity We are looking for an Engineering Manager who thrives in a fast-paced, dynamic environment, comfortable navigating ambiguity while moving projects forward, and motivated to build programs and processes that foster greater team organization, efficiency and scalability across the organization. This person will focus on people management, strategic alignment and software development projects that have a meaningful impact on the progress of EnergyHub everywhere. The Devices Team is responsible for the lifecycle management of a variety of IoT devices enrolled at EnergyHub, which are used to balance the power grid and contribute to our mission of creating a carbon free distributed energy future. Our team plays a critical role in ensuring the scalability and flexibility of our product by abstracting partner and client specific complexities to enable other internal teams to build new features and functionality quickly and effectively. Main Responsibilities: What you'll do Guide the team with clear direction, ensuring they have clear priorities and scope Provide strategic oversight, architectural direction and execution for new team initiatives, e.g. code refactoring and transition to micro-services environment Conduct code reviews across the team, with the ability to dive into working in the existing code base as needed Partner with cross-functional teams, including Engineering and Product, to define the team's mission, vision and roadmap Ensure the team delivers quality, scalable, well-tested, code on time and in scope. Continuously raise the bar for your team through organizational evolution, agile process improvement efforts and leveling your team's technical prowess Thrive on building your direct report's skills through coaching, mentoring and training opportunities Other duties as assigned Required Skills and Experience: What you need At EnergyHub we care about your passion and how you can contribute to our mission, not about the schools and companies on your resume. This is not a list of requirements and we certainly don't expect that you need to hit every bullet point to be a great candidate or great in the role. However, these things will catch our eye and demonstrate many of the core skills needed. 2+ years of experience directly managing teams of developers (ideally with teams of 5-7+) Core technical knowledge and experience with some of the tools and technologies at EnergyHub with a focus on Java, Spring, AWS (EC2, ECS), MongoDB and PostGres Experience with other technologies such as Python and C#/.NET to drive automation and micro-service efforts Strong foundational understanding of computer science principles and SDLC best practices Experience with architecture, scalability and reliability, as we grow to dispatch at higher and higher volumes.. Ability to learn from challenging projects with appropriate corrections to improve process, resource, and coaching Ability to work well with ambiguity and in a dynamic work environment Belief in a test first approach to coding Experience successfully launching multiple products or new features into the market Preferred Skills and Experience: Nice-to-haves Experience building client-facing APIs and supporting developers integrating with those APIs Strong integration background and an ability to ensure seamless enrollment of devices for our partners and guaranteeing their uptime Why work for EnergyHub? Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other. Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team! Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business. Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs. Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate. Focus on fun: EnergyHub places high value on our team culture. Happy hours and holiday parties are important to us, but what's also important is how our employees feel every single day. Company Benefits EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program. EnergyHub is an Equal Opportunity Employer EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net. In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision. Notice To Third Party Agencies: EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package. Base Salary Range$160,000-$195,000 USD

Suralink is a fast-growing Software as a Service (SaaS) technology company looking for exceptional professionals to join our team. Our award-winning company has been recognized for growth, innovation, and culture, and over 500,000 companies worldwide have used our software. Our platform was built for accounting and other professional service firms, giving them a simple and secure way to request, receive, track, and manage their documents at scale. If you're looking for a promising company where you can truly make your mark, we'd love to talk to you. Who we are looking for: At Suralink, we believe in empowered and accountable teams that can take a product from concept to delivery, and our Engineering Managers play a critical role in enabling those teams to thrive. Engineering Managers at Suralink lead our engineering teams to deliver software that delights our customers. We are seeking a passionate and experienced Engineering Manager to lead a teams of talented software engineers in the development and delivery of our cutting-edge SaaS products. As an Engineering Manager, you will play a critical role in driving technical excellence, fostering a culture of collaboration and innovation, and ensuring the successful execution of our product roadmap. Key Responsibilities: Leadership & Management: Lead & mentor teams of high-performing software engineers and SDETs Foster a culture of technical excellence, collaboration, and continuous learning Manage team and individual performance through regular 1:1s, coaching, feedback, development, and performance reviews Lead hiring for the team, working with other EMs internally and with HR, conducting interviews, and identifying top talent Drive the Agile/Scrum process, facilitating sprint planning, daily standups, backlog grooming, retrospectives, and any other ceremonies deemed necessary to streamline process excellence Ability to identify blockers and work with your teams and other teams to get unblocked Communicate effectively with technical and non-technical audiences, including stakeholders, product managers, and engineers Foster strong cross-functional relationships with other teams, such as product, design, and CS Technical Execution: Maintain a sense of urgency and ensure the team is consistently shipping quality software, leaning heavily on implementation of Lean Software and DevOps (DORA) concepts Ability to jump in to help teams with technical design, architecture, and code reviews as needed (no hands-on coding required) Collaborate with product management and stakeholders to define and prioritize product requirements Possess a deep understanding of the product and business goals, translating them into technology decisions Drive the technical design and architecture of new features and enhancements Manage cross-team dependencies and remove technical roadblocks Promote and enforce engineering best practices, including code reviews, testing, observability, and documentation Mentor engineers, empowering them through ownership of successively larger projects, and assisting in technical design and planning Foster delivery of high-quality code that is maintainable, scalable, and testable Prepare and help the team prepare technical designs, demonstrating a deep understanding of the project architecture Experience and Professional Qualifications: 8+ years of software engineering experience, including fullstack experience at a Sr Software Engineer level. 3+ years of engineering management experience including coaching, mentoring, and building high-performing teams Proven track record leading more than one engineering team simultaneously Strong product sense, including the ability to tell a story about the “why”, simplify complex technical concepts, and motivate and inspire others to contribute Strong technical acumen with the ability to understand and debate technical and product tradeoffs and approaches to building scalable architecture and data models Comfort navigating a complex and ambiguous problem space, and asking for help and clarification when needed Experience in NodeJS, Typescript, React (or other framework) environments Experience working in AWS building serverless and managed services (Lambda, S3, SQS, etc) Deep expertise in designing and implementing great software following best practices (Frontend, Backend, or Both) Demonstrated experience building products or key features with an embedded AI/ML component Passionate about being close to the customers to better understand their pain points Experience with/understanding of various architectural styles (SOA, Microservices, Monoliths) Expertise with various storage and caching technologies, scaling, and optimization SQL in general but MySQL, PostgreSQL are preferred Degree in Computer Science required Competencies: Critical Thinking -- ability to approach complex problems logically and systematically. Analytical skills - proficiency in analyzing system requirements and translating them into technical solutions. Attention to detail - ensure precision in code, designs, and implementations. Team Collaboration - experience working and collaborating with cross-functional teams. Adaptability - ability to pivot quickly in a fast-paced environment with changing priorities. At Suralink, our values guide everything we do: Customer Obsessed: We seek to understand those we serve deeply and are committed to serving them better than anyone else. Passionately Motivated: We care about what we do, which drives us to work hard, show grit, and go above and beyond to achieve great outcomes. Constantly Improving: We are eager to learn and grow. Challenges are opportunities to innovate and enhance our solutions. Team Focused: We know that our success is built together. We support one another and celebrate team achievements. Highly Reliable: We demonstrate good judgment, honor our commitments, and are accountable for our results. Why Suralink? There's a lot to love about working at Suralink! Here are a few of the benefits you can expect: Remote-friendly policy Medical/vision/dental insurance Life, short-term disability, and long-term disability insurance Generous Paid time off, including flexible floating holidays that you choose Parental leave Professional development allowance Community involvement

Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit ************ Location: This position is a hybrid-based role (office and remote). The mission of our Sales Engineering team at Gong is to serve as trusted partners, advising on complex workflows and guiding customers toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes. As a manager on our Sales Engineering team, you will be instrumental in building and leading a team of Sales Engineers who support our Commercial, Mid-Market, and Enterprise segments. You will work closely with cross-functional stakeholders and guide the team in solution-based selling of our industry-leading Revenue AI platform. RESPONSIBILITIES Build & lead a customer-focused, high-performing team that effectively communicates the business outcomes and value customers can achieve using our Gong platform. Recruit, mentor, and empower Sales Engineers to maximize their potential and contribute effectively to team and company goals. Play an active role in training team members on new features, processes, and collateral, fostering continuous learning and development. Foster a culture of collaboration within the Sales Engineering team and establish strong partnerships with Sales counterparts to drive revenue growth. Develop and implement streamlined processes and create impactful collateral to support the team and enhance stakeholder engagement. Optimize existing workflows and eliminate bottlenecks by collaborating cross-functionally with Sales, Customer Success, Support, and Product teams, ensuring smooth deal execution. Build and maintain strong relationships with Product Marketing, Sales Enablement, Sales Operations, and Product/Engineering teams, leveraging sound judgment to meet and exceed business objectives. Be a steward of our company culture and actively enforce our Operating Principles by embodying them in daily practices and team interactions. QUALIFICATIONS Must have 6-10 years of relevant sales engineering experience, and a proven track record of building and managing high-performing sales engineering teams. Demonstrated ability to lead a customer-facing team; including strong people management skills, and a commitment to mentoring, coaching, and employee development. Proven experience in building a successful team from the ground up, with a readiness to roll up your sleeves and engage directly on deals, embodying our #no-royalty leadership principle. Ability to foster trust and collaboration among team members and cross-functional stakeholders. Strong business acumen with a deep understanding of key personas and workflows within a GTM organization. Experience with sales technology: CRMs, cloud architecture, or telephony / web conference systems. Familiarity with data flows, AI and machine learning concepts, analytics, APIs/webhooks, and JSON. Understanding of security and privacy considerations related to SaaS systems. Exceptional verbal and written communication skills, with the ability to convey complex ideas clearly and persuasively. Strong interpersonal and teamwork skills, with a collaborative approach to problem-solving. PERKS & BENEFITS We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family's needs. Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. Mental Health benefits with covered therapy and coaching. 401(k) program to help you invest in your future. Education & learning stipend for personal growth and development. Flexible vacation time to promote a healthy work-life blend. Paid parental leave to support you and your family. Company-wide recharge days each quarter. Work from home stipend to help you succeed in a remote environment. The target OTE for this position is $200,000-$220,000. Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from ************ domain. Any outreach claiming to be from Gong via other sources should be ignored. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law. To review Gong's privacy policy, visit ********************************************************** for more details. #LI-AM1

Homefeed is a discovery platform at Pinterest that helps users find and explore their interests. We work with some of the largest datasets in the world, tailoring over billions of unique content to over half a billion users. Our content ranges across all categories, from food and fashion to books, art and our dataset is rich with textual and visual content and has nice graph properties - harnessing these signals at scale is a significant challenge. The homefeed blending team focuses on the machine learning model that predicts how likely a user will interact with a certain piece of content, as well as leveraging those individual prediction scores for holistic optimization to present users with a feed of diverse content. The candidate will lead the homefeed blending team. What you'll do Be responsible for major areas of Homefeed Blending for more than half a billion monthly active Pinterest users. Potential areas of impact include multi domain ranking, feature crossing interactions, pretrain and finetune methodologies, sequence modeling , relevance modeling, model training efficiency and model serving efficiency. Deeply understand the Pinterest Home product and drive the vision for the Homefeed Ranking team, ensuring the team's work directly contributes to the company's goals. Manage and mentor a team of Machine Learning engineers, providing guidance and support to help them grow their careers. Identify team needs and hire strong candidates. Collaborate closely with other engineering teams at Pinterest to enhance the Homefeed experience for users, including Advanced Technology Group, ML Infrastructure, Serving Infrastructure, Content Understanding and User Understanding. Provide visibility to senior leadership regarding the team's global impact. Partner with stakeholders across the company, including product management, data scientists, and design, to expand impact. Build a culture of excellence and expertise within the team. What we're looking for: Experience leading and working on a large-scale production recommendation, ecommerce, search or ads systems that are based on state-of-the-art machine learning and big data technology. Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus. Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution. Strong focus on product impact and user experience within a consumer-focused environment. Minimum of 1 year of experience managing a high-performing machine learning engineering team of 5+ members. 7+ years of experience in Machine Learning development, with a proven track record of delivering impactful solutions. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-AK7

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. About the Opportunity As an Engineering Director you will be responsible for the development and performance of key parts of our applications - orchestrating the actions of millions of grid-edge devices (from smart thermostats to home batteries to electric vehicles to entire factories) to safeguard the grid and enable its decarbonization. You'll bring your technical expertise and your empathetic leadership to make sure we do that job safely and correctly, and empower our clients to clearly understand and easily use our platform. Your teams do things like: Build interfaces to let humans understand and wield the platform effectively Build automations to protect the grid without human intervention Implement strategies to safeguard grid health Build APIs to integrate with external client systems and internal engineering partners What you will do: Attract, mentor, lead & retain the multiple engineering managers and developers responsible for building and maintaining our system Be an advocate for observability, reliability, equity and safety in all we do Collaborate with the Product team to define our roadmap and surface growth opportunities Work across the entire Engineering team to establish best practices, help identify problems and implement solutions Define and build the team responsible for core applications in line with our overall company objectives Work with Product and others in engineering to model the foundations for feature requests that open us up to new revenue or optimized fulfillment Other duties as assigned Why you want to do it: It's big. With millions of devices and gigawatts of power under management - you'll be fighting climate change at scale. Keeping it simple is hard. We're adding new device types all the time, and leveraging more and more data to develop new strategies for grid stabilization Reliability matters. Your teams' systems control a non-trivial fraction of the North American power grid. It's fun. Work with smart, mission-driven people. Play with cool new green technology. Solve puzzles in org design, system design, usability and more. It's important. Climate change sucks. Our work enables decarbonization of the power grid. Key Skills and Experience: Hands on experience working with large complex systems, message queues, AWS (or other cloud platforms) Demonstrated success managing multiple technical teams Experience with a microservices environment A track record of building relationships with internal and external stakeholders Can read, write, and deploy code, even if you don't do it as much lately Passionate about technology and innovation Strong written and verbal communication skills Preferred Skills and Experience: Passion for the climate space and our mission to decarbonize and stabilize the grid Experience with some of the technologies we use like: Java and Springboot RabbitMQ, SQS, gRPC NoSQL, Redis Postgresql and other relational databases Snowflake, dbt or similar data modeling, transformation and warehouse solutions Experience transitioning to a service-oriented architecture Experience building APIs for external clients IoT experience Experience working in a compliant environment Energy industry experience Why work for EnergyHub? Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other. Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team! Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business. Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs. Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate. Focus on fun: EnergyHub places high value on our team culture. Happy hours and holiday parties are important to us, but what's also important is how our employees feel every single day. Company Information EnergyHub is a growing enterprise software company that works with the most forward-thinking companies in smart energy. Our platform lets consumers turn their smart thermostats, electric cars, water heaters, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. We work on technology that already provides energy and cost savings to millions of people through partnerships with the most innovative companies in the Internet of Things. Company Benefits EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program. EnergyHub is an Equal Opportunity Employer EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net. In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision. Notice To Third Party Agencies: EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package. Base Salary Range$200,000-$225,000 USD

At Nauto, you can make an impact at a high-growth company. Our technology helps prevent collisions and save lives with predictive AI that detects driver state and vehicle surroundings in real-time. More than 90% of car crashes can be attributed to human error, and Nauto's technology is designed to predict risk, alert drivers with advance warning, and improve overall road safety. Our customers include some of the largest commercial fleets in the world, along with vehicle manufacturers (OEMs), insurance providers, and autonomous vehicle companies. Backed by leading investors-including Greylock Partners, BMW iVentures, General Motors Ventures, Toyota AI Ventures, and SoftBank-Nauto is well-positioned for continued success. We're also proud to be featured on the Forbes AI 50 list, recognizing top private companies leveraging AI in transformative ways. Position Overview Nauto is seeking an experienced and visionary Solutions Engineering Director to lead our dynamic and growing Solutions Engineering team. The Solutions Engineering Director is a key leadership role responsible for managing and guiding the Solutions Engineering team in delivering exceptional technical solutions to our customers. This position involves collaborating closely with sales, product, and engineering teams to ensure that our solutions meet customer needs and drive business growth. The Solutions Engineering Director is a strategic thinker, technically proficient, and possesses strong leadership and communication skills. Key Responsibilities Team Leadership: Manage and mentor a team of solutions engineers, providing direction, support, and professional development opportunities. Create a high-performing team culture that fosters collaboration, innovation, and continuous improvement. Technical Solution Development: Collaborate with the sales and product teams to understand customer requirements and develop comprehensive technical solutions that align with their needs and objectives. Customer Engagement: Act as a technical expert and strategic advisor for key customer accounts, participating in pre-sales activities, and ensuring the successful implementation of solutions. Cross-Functional Collaboration: Work closely with product managers, engineering teams, and other stakeholders to align solutions with the company's product roadmap and technology capabilities. Solution Strategy: Develop and drive the solutions engineering strategy, ensuring that it supports business objectives and maintains a competitive edge in the market. Process Improvement: Continuously assess and enhance the solutions engineering processes, tools, and methodologies to improve efficiency and effectiveness. Resource Planning: Collaborate with the HR team and executive leadership to assess staffing needs, hire and onboard new team members, and allocate resources effectively. Technical Expertise: Keep abreast of industry trends, emerging technologies, and best practices to maintain a high level of technical proficiency and provide thought leadership within the organization. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Proven experience (e.g., 8+ years) in solutions engineering or a related technical pre-sales role, with at least 3-5 years of experience in a leadership capacity. Strong leadership, team management, and interpersonal skills. Demonstrated ability to lead technical discussions with customers and internal stakeholders. Solid understanding of software development processes and technologies. Exceptional problem-solving and analytical abilities. Excellent communication and presentation skills. Strategic thinking and business acumen. Proven track record of driving successful customer outcomes through technical solutions. Why You'll Love Working at Nauto Competitive hourly wage Stock options Comprehensive health benefits (medical, dental, vision) for employees and qualified dependents Healthcare spending accounts (FSA, HSA) 401K retirement plan Up to 20 weeks of parental leave Flexible PTO policy Location Remote We are committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination. To all recruitment agencies: Nauto does not accept agency resumes. Please do not forward resumes to our jobs alias, Nauto employees or any other company location. Nauto is not responsible for any fees related to unsolicited resumes. The US base salary range for this full-time position is $190,000 - $220,000 + commission + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US, remote locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and/or training. Your recruiter can share more about the specific salary range for your work location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You'll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office four times per week: Day to day: * 50% Software engineering - technical product planning, and coding * 50% Managing a growing team. You will: * Recruit a high-performing engineering team. * Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. * Collaborating with cross-functional teams to define, design, and execute strategic roadmap. * Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. * Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure * Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners * Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions * Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions * Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings * Have or ability to obtain a TS/SCI clearance Ideally you'd have: * 5+ years of full-time engineering experience, post-graduation * 2+ years of prior engineering management or equivalent experience and has managed an engineering team. * Have extensive experience in software development * Experience scaling products at hyper-growth startups * Excitement to work with AI technologies and their applications for the public sector * Extremely strong track record as an individual contributor * Show a track record of mentoring and leading teams in successful projects * Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: * TS/SCI Clearance * Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. * Have experience with AI platforms and technologies, including generative models and LLMs. * Have previous experience in government or government facing technology roles * Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York is: $238,050-$297,850 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC is: $213,900-$267,950 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of St Louis is: $178,250-$223,100 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. We're investing deeply in AI to make app building faster, smarter, and more accessible-so anyone can go from an idea to a working Airtable app in minutes. We're looking for an Engineering Manager to lead Airtable's AI Platform pod, which builds the foundational infrastructure and systems that power AI experiences across Airtable. You'll own the core agent architecture, AI evaluation systems, and platform capabilities that empower internal teams and end users to leverage AI effectively. Your team will be responsible for making AI reliable, scalable, and accessible throughout Airtable-from the underlying agent runtime that orchestrates complex workflows to the semantic search infrastructure that helps users find exactly what they need and powers rich features like linked-record matching. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are looking to hire candidates at this level that are based in San Francisco or New York City who are open to coming into the office at least ~2-3 times/week for team collaboration. What you'll do Build the AI platform foundation: Own the core agent architecture, orchestration layer, and runtime that powers all AI experiences across Airtable-ensuring it's extensible, reliable, and can scale to support diverse use cases across multiple teams Design for platform scale: Create robust abstractions and APIs that enable other teams to build AI-powered features quickly and safely, while maintaining quality and consistency across the product Establish AI reliability systems: Build comprehensive evaluation frameworks, monitoring, and quality assurance systems that ensure AI features meet enterprise-grade standards for accuracy, performance, and safety Drive technical strategy: Partner with Staff+ engineers to define the technical roadmap for Airtable's AI infrastructure, making architectural decisions that will shape how we build with AI for years to come Enable AI democratization: Build platform capabilities that make sophisticated AI accessible to all Airtable users-from semantic search and natural language interfaces to intelligent automation-without requiring technical expertise Who you are Platform builder at heart: You think in systems and abstractions. You've built infrastructure that other teams depend on and understand how to balance flexibility with reliability Technical depth with strategic thinking: You can dive deep into architectural decisions while keeping sight of the broader platform vision and how it enables the business Systems thinker with shipping velocity: You can architect for the long term while delivering incremental value. You know how to build platforms through iteration rather than big-bang releases AI infrastructure experience: You've worked on ML platforms, agent frameworks, or AI infrastructure at scale. You understand the unique challenges of building reliable systems on top of probabilistic models Quality through architecture: You believe the best way to ensure quality isn't through process but through well-designed systems-building platforms that make it easy to do the right thing Strong technical and management growth trajectory: 5+ years experience as an engineer (previously in a staff or TL level IC position) and 1+ years as a manager, or a similar combination. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$240,000-$339,900 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.

About the company ResortPass is completely redefining what it means to be a guest at a hotel. By offering day access to luxury hotel experiences, including breathtaking pools, private beaches, deluxe spas, and more, ResortPass allows people to escape - without ever leaving town. If you're moved to contribute to our vision, we'd love your help. Our growing team of innovative tech and hospitality experts has partnered with over 1,500 leading hotels and resorts including Ritz-Carlton, Four Seasons, Westin, and Fairmont. We've connected over 3 million people with relaxation and luxury in their own neighborhoods, making rest more mindful, togetherness more meaningful, and escape more accessible. Fresh off a Series B $30M raise, co-led by Declaration Partners and 14W with additional investment from previous investor Charles River Ventures, and new investors Endeavor, Jessica Alba, Adam Grant and others, ResortPass is at the beginning of creating a new category of hospitality. About the role We are looking for an excellent Engineering Manager to lead our Hotels and New Verticals Team. This team is responsible for building the products that empower our hotel partners to manage their offerings on our Marketplace as well as leading the charge for our marketplace to expand into new verticals; Spa, Events, Activities and more. You will also be responsible for integrating with various partners in the hospitality ecosystem as well as maintaining our external facing public API. Reporting directly into our VP of Engineering, you will be working along with the Product, Design and Data cross functional partners to build delightful products for our customers and resort partners that are highly performant - both in terms of site metrics and business KPIS. We are looking for someone who is located in or near the NYC area, as this role will be in person at our NYC headquarters 4 days a week. The base salary for this role will range from $200,000 - $240,000 per year, plus equity, commensurate with experience. What you'll do Feel a strong sense of product ownership and actively seek responsibility - obsess over delivering a delightful and efficient experience to our hotel partners and guests and push the team towards getting there Understand the technology in your domain, and dive deep to drive foundational improvements Partner with leadership and cross functional partners to build an ambitious roadmap Balance, prioritize and execute on multiple projects, ensuring timely and predictable delivery while maintaining a high standard of quality Continually improve and fine tune team rituals, processes and tooling to drive team efficiency and effectivity Hire, grow, mentor and coach a team of very high quality engineers We are versatile technologists currently developing on AWS using a stack that consists of Ruby-on-Rails, NodeJs, Postgres, MongoDB and ECS Your experience You have a significant history of building great user-facing software in a fast-paced environment You have strong technical experience, and are able to understand the full stack of software development from top to bottom Experience managing and coaching 3+ direct reports for growth and success in a fast paced environment You excel at translating business needs into well-defined projects, taking a hands-on approach to solution design, implementation, and execution. You thrive in a collaborative environment, working effectively with cross-functional teams to align technical solutions with business goals and ensure cohesive execution. You are an empathetic communicator who can work seamlessly with technical and non-technical stakeholders You are passionate about great product that delights the customers while delivering business value Benefits Health, Dental & Vision - We're deeply invested in the health and well-being of our team and are proud to contribute to the monthly premiums of these insurance plans. Stock Option Plan - We offer employees the opportunity to become part-owners in our mission. Let's redefine what it means to be a guest, together. 401k plan - Save for your future with a 401k plan offering. Unlimited Paid Time Off (PTO) - Enjoy life away from work to be inspired and fully recharge with unlimited paid time off. Paid parental leave. Annual ResortPass credit - Our mission is to bring delight and relaxation to people around the world; including our employees! Access private beaches, deluxe saunas, awesome pools, and much more with your annual credit.

We are looking for a Security Incident Manager with experience managing incidents and maturing incident response across the company. You will be working with a world-class team of engineers building out incident response capabilities and making it a core part of our company culture. We are looking for an extremely customer obsessed individual that wants to deliver the best possible experience for our customers. This role will report into the Security Engineering group that is responsible for the security of Asana the company and the security of the product to make sure we maintain customer trust and are able to grow sustainably. You will collaborate with teams across the company including Infrastructure, Customer Success, Legal, IT, Marketing, company leadership, and other key stakeholders to drive better incident response outcomes for our company and our product. As the Security Incident Manager in our Security Engineering Group, you'll serve as both a hands-on incident commander and a technical leader, guiding a team of engineers to make sure we are effectively and promptly responding to incidents to maintain our confidentiality, integrity, and availability. While this role focuses on incident leadership rather than people management, you'll be instrumental in decision-making, project execution, and mentoring team members. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Lead initiatives and OKRs related to incident response improvements for Infrastructure, Security, and Privacy. Drive incident management and incident response best practices across the company. Mentor team members through pairing, defining processes, and training exercises. You will actively participate in and lead the on-call rotation, setting examples for security incident management. You will lead retrospectives to help raise the engineering excellence and continuous improvement culture at the company. Lead tabletop exercise to ensure different stakeholders are thinking about and preparing for incidents across the company. About you: 10+ years of experience in incident management and security Hands on experience building training and processes to develop engineers into incident responders Experience working in environments composed of mainly SaaS and Cloud resources Hands-on technical expertise in at least two of the following areas: Abuse Cloud Security Detection & Response Digital Forensics Fraud Network Security Track record of successfully leading projects and mentoring engineers on incident response Experience in making technical trade-offs and articulating them to stakeholders Strong communication skills with ability to explain complex technical concepts clearly Experience communicating at different levels and to both people internal and external to the company Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Additional experience we value: Hands on experience with logging and monitoring tools such as DataDog, Splunk, and Panther Hands on experience with AWS, Google Workspace, and common SaaS applications Experience with Bug bounty programs Red Team/Blue Team exercises What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $194,000 - $246,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor's and Inc.'s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #LI-Hybrid #LI-AS2

Rhino + Jetty is making housing more affordable and accessible for millions of renters every year. We recently merged Rhino and Jetty to become the leading real estate platform with a mission to improve the financial lives of renters and their property managers. In 2024, R + J expanded its platform with end-to-end deposit management, streamlining how security deposits and insurance solutions are administered. Today, our comprehensive suite of products - including security deposit insurance, cash security deposit management, lease guarantees, renters insurance, and loss of employment insurance - continues to transform the renting experience, making moving easier, more affordable, and more transparent for all. The Engineering Manager - Servicing will be a key member of R+ J's Technology team and will report directly to the Head of Product Engineering. You'll manage and coach a team of senior engineers who are responsible for the smooth operation and automation of our product lines. You'll be expected to autonomously develop, improve, and monitor these systems from a software engineering perspective, as well as work with the product team to deliver new servicing capabilities, especially in a partner-facing capacity. In this role, you will: * Lead a nimble, high-impact full-stack engineering team which owns the servicing of our product lines, primarily: Rhino Security Deposit Insurance, Rhino Renter Guarantee, Rhino Loss of Employment Insurance, Jetty Deposit, Jetty Protect, and Jetty Credit. * Work with the growth and product teams to develop new servicing capabilities for internal operations teams and for partners/customers. * Provide technical and organizational leadership within the engineering team and to external stakeholders. * Guide technical discussions within your team, be a subject matter expert to the rest of the engineering teams, and have strategic influence beyond the engineering org. * Create opportunities for the individuals on your team to grow, learn, fail gracefully, and succeed. * Contribute the right mix of high-level leadership and hands-on support that your team needs: from scoping and ideation with product to fixing a production bug. * Help your team and the rest of the engineering organization judiciously use AI tooling to accelerate our progress. Our current technical stack most prominently features: * Ruby (Rails), Python (Flask), Javascript (Hotwire, React.js, Next.js) * Postgres * AWS infrastructure managed via Terraform * Datadog, Posthog, Rollbar, Sentry * IDE(s) of choice, AI tools of choice The candidates we're looking for generally have: * 5+ years of experience in building production-grade, high-volume software systems * 1+ years of experience managing an engineering team * Full-stack experience, with particular emphasis on backend (server-side + serverless) * Strong communication skills, and an understanding of how to work across all our business's functions (risk, compliance, product, operations, etc) * Willingness to become domain subject matter experts in a highly regulated industry * Ability and enthusiasm to use any tool to get a job done, up to and including AI tools These aren't required but are a big plus: * Background in fintech or insurtech * Prior professional experience with Rails * Prior professional experience building B2B tooling / servicing platforms We are ideally seeking a candidate based in the New York Area and willing to work in a hybrid model using our Manhattan office. Benefits: Base Salary Range: $175,000 - $210,000 / year Rhino + Jetty has partnered with a number of compensation benchmarking tools to determine competitive and fair market pay bands for our size and stage. Our goal is to ensure each employee is paid equitably and competitively while also maintaining a consistent and standardized methodology. Individual pay decisions are based on a number of factors including qualifications for the role, experience level and balancing internal equity relative to other teammates. Base salary is just one part of our Total Rewards Package here at R + J. In connection with this position, we also offer: * Competitive cash compensation package including base salary, milestone based bonus, and other financial perks * Medical, Dental, and Vision coverage (up to 90% employer contribution) - eligible from your start date * 401(k), HSA, Life & Disability Insurance Coverage ($0 employee contribution for additional insurances) * Unlimited PTO Policy * Generous Paid Parental Leave * Stock option plan to give our employees a direct stake in R + J's success * Remote-first work culture with opportunities to collaborate as a team in person * Monthly lifestyle stipend to fit your needs (meals, wellness, co-working)

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an AAI Engineering Manager, you'll manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs. Your team's work will range from training next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers. Manage a team of 5+ Applied AI Engineers / ML Engineers Work with product and research teams to identify opportunities for ongoing and upcoming services. Explore approaches that integrate human feedback and assisted evaluation into existing product lines. Create state of the art techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you'd have: At least 3 years of model training, deployment and maintenance experience in a production environment At least 1-2 years of management or tech leadership experience Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models PhD or Masters in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc. Strong written and verbal communication skills to operate in a cross functional team environment Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You'll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office four times per week: Day to day: 50% Software engineering - technical product planning, and coding 50% Managing a growing team. You will: Recruit a high-performing engineering team. Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings Have or ability to obtain a TS/SCI clearance Ideally you'd have: 5+ years of full-time engineering experience, post-graduation 2+ years of prior engineering management or equivalent experience and has managed an engineering team. Have extensive experience in software development Experience scaling products at hyper-growth startups Excitement to work with AI technologies and their applications for the public sector Extremely strong track record as an individual contributor Show a track record of mentoring and leading teams in successful projects Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: TS/SCI Clearance Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. Have experience with AI platforms and technologies, including generative models and LLMs. Have previous experience in government or government facing technology roles Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York is:$238,050-$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC is:$213,900-$267,950 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of St Louis is:$178,250-$223,100 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

At Scale, our Public Sector Machine Learning team develops and deploys cutting-edge AI systems into mission-critical government environments. From advanced computer vision pipelines to agentic LLM frameworks, our work directly supports national security and defense partners. We are looking for a Machine Learning Engineering Manager to lead this team of world-class ML engineers and help shape the future of AI in the public sector. As a Machine Learning Engineering Manager, you will combine strong technical expertise with people leadership. You'll guide the team in delivering production-grade ML systems across modalities while ensuring alignment with product, research, and government partner needs. Leveraging large language models, computer vision, reinforcement learning, and agentic AI, you will lead research projects and harden them into scalable production systems. This role requires someone who can balance hands-on technical oversight, mentorship, and execution strategy in a fast-paced, mission-driven environment. You will: Lead and grow a team of ML engineers delivering production-ready AI systems for public sector customers. Provide technical direction and mentorship on projects spanning agentic LLM frameworks, reinforcement learning, generative AI, and computer vision. Collaborate with research, product, and infrastructure teams to align technical roadmaps with organizational and customer priorities. Drive operational excellence: establish best practices for model development, deployment, evaluation, and monitoring in secure, high-stakes environments. Partner with public sector stakeholders to translate mission needs into scalable ML solutions. Work closely with public sector customers to scope and deliver AI applications. Ensure effective prioritization and resourcing across multiple programs and customer engagements. Cultivate a strong engineering culture that values collaboration, innovation, accountability, and impact. Support career development, performance reviews, and hiring to expand the team. Ideally you'd have: US citizenship and US Government Security Clearance is a requirement (TS/SCI preferred) Proven experience managing and mentoring ML or AI engineering teams, ideally in applied research or production ML environments. Strong technical background in one or more of: computer vision, generative AI/LLMs, reinforcement learning, or agentic systems. Up-to-date understanding of cutting edge ML research and production systems in your domain(s) of expertise. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and large-scale ML infrastructure. Background in deploying AI systems in high-reliability or mission-critical contexts (public sector, defense, healthcare, finance, etc.). Ability to communicate technical concepts effectively to both technical and non-technical stakeholders, including government partners. Strong program management skills: ability to set strategy, manage multiple priorities, and deliver on commitments. Nice to haves: Graduate degree in Computer Science, Machine Learning, or related field. Experience in public sector / defense AI programs. Familiarity with evaluation frameworks for LLMs and multi-agent systems. Cloud platform (AWS/GCP/Azure) experience, especially in secure deployments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$240,450-$300,300 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$216,300-$269,850 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain. Responsibilities: Manage the engineering team and drive technical delivery Comfortable working cross functionally, whether that be internal or external customers Work across the entire product lifecycle from conceptualization through production Build features end-to-end: back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Influence the culture, values, and processes of a growing engineering team Inspire and mentor engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred Proven success in leading, managing, and developing high-performing Engineering teams Expertise in identifying product engagement patterns and trends for large scale consumer products Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200-$270,250 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow . Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit ****************** About this role: At Astronomer, our R&D organization is dedicated to providing an exceptional experience in operating data orchestration based on Apache Airflow at many of the world's largest companies. As we continue to grow, we are looking to solve highly complicated technology problems through inventive algorithms and world-class practices around scale. We are building out a world-class Observability team to deliver data observability capabilities that provide our customers visibility, reliability, and actionable insights into their data pipelines and products across some of the world's largest enterprises. We are seeking an experienced Director of Engineering to lead this effort. In this role, you will own the technical vision and execution of Astronomer's observability platform, scale a high-performing engineering team, and partner closely with product and cross-functional stakeholders. Your leadership will directly influence our growth and our ability to deliver exceptional value to customers. What you get to do: Define and drive the technical strategy, roadmap, and execution for Astronomer's observability platform. Lead, grow, and mentor a team of engineers with a focus on collaboration, innovation, and customer impact. Partner with product, design, and other engineering leaders to shape the future of observability and governance within Astronomer's platform. Ensure the architecture, design, and implementation of the observability platform are scalable, reliable, and performant. Foster a culture of engineering excellence, including strong practices around code quality, testing, CI/CD, and operational rigor. Represent the Observability team internally and externally, helping align stakeholders around shared goals. What you bring to the role: Proven experience leading engineering teams and managers in a fast-paced, high-growth environment. A track record of delivering complex distributed systems and scaling production infrastructure. Strong technical background, ideally with experience in Golang, Python, Kubernetes, SQL/OLAP databases, and stream processing. Excellent communication and collaboration skills, with the ability to influence at all levels of the organization. A strong focus on customer value, bringing clarity and alignment between technical priorities and business outcomes. Passion for building healthy, inclusive teams and fostering growth in engineers. Bonus points if you have: Experience building or scaling data observability products. Familiarity with Apache Airflow or similar workflow orchestrators. Background in observability, monitoring, or infrastructure at scale (e.g., Datadog, Honeycomb, or similar). The estimated total compensation for this role ranges from $260,000 - $300,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications. #LI-Remote #LI-Hybrid At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit ****************** About this role: At Astronomer, our R&D organization is dedicated to providing an exceptional experience in operating data orchestration based on Apache Airflow at many of the world's largest companies. As we continue to grow, we are looking to solve highly complicated technology problems through inventive algorithms and world-class practices around scale. We are building out a world-class Observability team to deliver data observability capabilities that provide our customers visibility, reliability, and actionable insights into their data pipelines and products across some of the world's largest enterprises. We are seeking an experienced Director of Engineering to lead this effort. In this role, you will own the technical vision and execution of Astronomer's observability platform, scale a high-performing engineering team, and partner closely with product and cross-functional stakeholders. Your leadership will directly influence our growth and our ability to deliver exceptional value to customers. What you get to do: * Define and drive the technical strategy, roadmap, and execution for Astronomer's observability platform. * Lead, grow, and mentor a team of engineers with a focus on collaboration, innovation, and customer impact. * Partner with product, design, and other engineering leaders to shape the future of observability and governance within Astronomer's platform. * Ensure the architecture, design, and implementation of the observability platform are scalable, reliable, and performant. * Foster a culture of engineering excellence, including strong practices around code quality, testing, CI/CD, and operational rigor. * Represent the Observability team internally and externally, helping align stakeholders around shared goals. What you bring to the role: * Proven experience leading engineering teams and managers in a fast-paced, high-growth environment. * A track record of delivering complex distributed systems and scaling production infrastructure. * Strong technical background, ideally with experience in Golang, Python, Kubernetes, SQL/OLAP databases, and stream processing. * Excellent communication and collaboration skills, with the ability to influence at all levels of the organization. * A strong focus on customer value, bringing clarity and alignment between technical priorities and business outcomes. * Passion for building healthy, inclusive teams and fostering growth in engineers. Bonus points if you have: * Experience building or scaling data observability products. * Familiarity with Apache Airflow or similar workflow orchestrators. * Background in observability, monitoring, or infrastructure at scale (e.g., Datadog, Honeycomb, or similar). The estimated total compensation for this role ranges from $260,000 - $300,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications. #LI-Remote #LI-Hybrid At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About the role: The Director of Technical Support Engineering will lead and scale Sigma's global technical support organization, ensuring operational excellence as the company grows. Reporting to the VP of Technical Operations, this role owns the vision, strategy, and execution needed to deliver world-class technical support while building a team that balances technical expertise with customer focus. You will lead through managers and individual contributors, partnering closely with Product, Engineering, and Go-to-Market leaders to drive platform improvements, operational scale, and customer-impacting outcomes. This role is also responsible for developing talent and fostering a culture of growth, accountability, and collaboration, while balancing strategic leadership with hands-on involvement when needed. Sigma's Technical Support team was awarded the 2024 Stevie Gold Award for Customer Service. What You Will Be Doing * Lead and mentor a team of exceptional Technical Support Engineers and Support Managers supporting customers with technical questions, business workflows, and data use cases. * Develop and execute the vision and strategy for Technical Support Engineering, ensuring operational excellence while aligning with business goals, customer needs, and product growth. * Partner with the VP of Technical Operations to drive scale, operational rigor, process improvement, and growth across key investment areas in the business. * Step directly into technical and operational challenges when needed, rolling up your sleeves to resolve critical issues and unblock execution alongside the team * Leverage support metrics and insights to lead operational improvements that accelerate resolution, improve quality, and deliver better customer outcomes. * Build and execute hiring, onboarding, and career development plans that grow top talent and establish clear pathways for advancement within the support organization. * Lead large, cross-functional initiatives from planning through delivery, coordinating teams, managing timelines, resolving blockers, and ensuring successful delivery. * Own and advance support tooling and workflows, leveraging telemetry and customer insights to proactively detect issues, automate solutions, scale self-service, and build systems that accelerate customer outcomes. * Be the voice of Technical Support with Product and Engineering leadership, influencing platform priorities and improvements through customer insights. Qualifications We Need * Proven experience leading and scaling technical support teams in a high-growth B2B SaaS environment. * You've used data to improve how your team operates, driving measurable results for the company. * Ability to represent Technical Support's perspective to executive stakeholders, advising on support strategies and collaborating across Product, Engineering, and Go-to-Market teams. * Strategic mindset and creative problem-solving skills; demonstrated ability to lead multiple initiatives simultaneously in a fast-paced startup environment. * Proficient in enterprise analytics and business intelligence platforms, with strong technical acumen across databases, SQL, cloud data warehouses (Snowflake, Redshift, BigQuery), and ETL solutions (Fivetran, Matillion). * Ability to build trust with customers and stakeholders by resolving issues quickly while scaling proactive, automation-driven solutions that improve customer outcomes. * Computer Science fundamentals or equivalent technical background, with deep domain expertise in databases, data modeling, and business intelligence. Additional Job details The base salary range for this position is $210,000 - $250,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface - no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth. Come join us! Benefits For Our Full-Time Employees: * Equity * Generous health benefits * Flexible time off policy. Take the time off you need! * Paid bonding time for all new parents * Traditional and Roth 401k * Commuter and FSA benefits * Lunch Program * Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London.