Engineering Manager jobs at Rokt

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

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.

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.

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 ML Engineering Manager, you'll manage a team of high-calibre MLEs who train ML models to satisfy enterprise business needs. Your team's work will range from creating the connective tissue/platform to build 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+ 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: $212,000 - $254,400 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 for additional information.

Our healthcare system remains frustratingly analog. When you live in a world of one-tap car rides, instant meal delivery, and unlimited streaming, why do you still have to call to schedule a doctor's appointment and fill out a clipboard in the waiting room? NexHealth's mission is to accelerate innovation in healthcare by connecting patients, providers, and developers. We're building the infrastructure layer for modern healthcare, connecting thousands of fragmented, on-premise, and closed EHR systems into a single, modern platform that powers software, APIs, payments, and patient experiences across the ecosystem. Founded: 2017 Headquarters: San Francisco, CA Funding: $177M Series C Employees: 200+ Trusted by tens of thousands of providers and hundreds of health-tech developers - forging the infrastructure layer that modern healthcare needs About the Role We are seeking an experienced Engineering Manager to help build and scale our foundational platforms - platforms the healthcare database of the future that no one has yet built. Your team will tackle some of the most complex and high-impact technical challenges in healthcare: how to ingest, store, and serve intrinsically graph-like data at global scale, and how to ensure that entities only see the data dimensions they are authorized to access. You'll think from first principles, prototype and productionize novel solutions, and develop a truly heterogeneous data lake that stores the world's multi-modal healthcare data. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving hard, unsolved challenges. No prior experience in health tech is required. What You'll Do Hire and develop world-class engineers to build an exceptional team Support engineers' career growth through clear feedback, mentorship, and leadership development Establish and uphold high technical standards through sound processes (e.g., architecture reviews, testing) and strong engineering culture Partner with engineering and product leadership to define and execute long-term platform roadmaps Drive execution and collaborate across teams to deliver complex, cross-functional initiatives What You'll Bring 4+ years leading high-performing engineering teams with a proven track record of innovation 10+ years of total industry experience in software engineering Exceptional people leadership skills with experience coaching and developing engineers Deep experience delivering large-scale, foundational infrastructure systems Strong judgment balancing engineering velocity with long-term technical quality Excellent collaboration skills with the ability to partner effectively across Product, Sales, and Customer Success Demonstrated success defining and driving technical and organizational roadmaps A builder mindset with experience scaling teams and systems in fast-paced environments Strong ownership and initiative in ambiguous, evolving contexts Bias for action and data-driven decision making First-principles thinking applied to technical and organizational challenges Deep care for people development and team health Alignment with NexHealth's values and mission BS/MS in Computer Science or a related field, or equivalent practical experience Compensation Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of NexHealth's total compensation package for employees. Other benefits may include stock options, an unlimited paid time off policy, and up to 100% coverage on medical, vision and dental insurance. Base Salary Range: $176,000 - $220,000 USD per year (based on experience and location) Equity: Competitive stock options Benefits Full Medical, Dental, and Vision (up to 100% covered) 401K and commuter benefits Flexible PTO High-impact work that directly improves the healthcare experience for millions Our Values Solve the customer's problems, not yours When making decisions, think from the perspective of the customer. It's easy to make decisions that make our lives simpler, but not the customers. Do the things others are not willing to do As a Nexer, always go after the hardest problems. Pursue things at the highest quality. Move at the fastest pace. Take ownership Act like a founder. Own your roles, destinies, mistakes, behavior, and our mission. The buck stops with each of us - no blaming or excuses. Say what's on your mind, with positive intent Be direct, proactive, transparent, and frequent in your communication. Default trust As a Nexer, you do not have to earn trust, trust is given to you by default. If we by default trust each other, our speed of communication, feedback, information sharing, and overall improvements will be a lot faster. Think in first principles We first identify the problem and then break it down to its fundamentals before diving into solutions. We constantly ask “why” to validate our assumptions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodation for individuals with disabilities to participate in the application or interview process. Contact ******************** to request assistance.

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.

Who we are Join the fintech revolution with Mambu, the leading SaaS cloud banking platform. We're on a mission to make banking better for a billion people. Explore exciting career opportunities and help shape the future of financial services. Learn more here. About the team You will be leading the Platform Engineering team that builds and operates the core cloud platforms supporting Mambu's global banking workloads. The team is responsible for the infrastructure, container orchestration, CI/CD systems, and developer tools that power billions of secure transactions across multiple regions. We work closely with Product Engineering, Security, Architecture and Cloud Operations to ensure the platform is reliable, compliant, and cost-efficient. The focus is on automation, scalability, and simplicity - continuously improving how our products are built, deployed, and operated at global scale. What you'll do * Set a clear mission, principles, KPIs, and roadmap for the Lending product area, fully aligned with tribe objectives. * Partner with product, architecture, and operations to deliver features that meet customer, regulatory, and performance needs. * Embed tech debt reduction as a strategic priority, ensuring the platform evolves with lower maintenance overhead and higher adaptability. * Champion AI-augmented development approaches-such as AI-assisted coding, test generation, and documentation-to increase throughput, shorten cycle times, and improve quality. * Drive adoption of strong engineering practices: pair programming, test-driven development, CI/CD optimisations, automated quality gates, and peer reviews. * Build a high-autonomy, high-alignment culture with streamlined decision-making and effective cross-team collaboration. * Ensure operational readiness, cost efficiency, performance, scalability, and compliance with security and regulatory requirements. * Represent Lending engineering in strategic discussions with customers, executives, and other stakeholders. What you'll bring * 10+ years building and operating SaaS, cloud-native, API-driven platforms; ideally in banking, fintech, or other regulated sectors. * 5+ years of hands-on Java engineering and cloud technologies before moving into senior leadership roles. * Proven ability to scale distributed systems with high performance, resilience, and cost control. * Demonstrated success in addressing technical debt while maintaining or increasing delivery velocity. * Experience applying AI tools and data-driven engineering metrics to improve productivity and code quality. * Strong leadership skills-trusted by teams and stakeholders to drive change and deliver results. * Excellent communication skills, able to engage confidently with executives, customers, and global teams. * Comfortable leading in a remote-first, multi-time-zone environment. What you'll get Join us to shape the future of banking, where your professional growth is equally as valued as your personal well-being. * Competitive Base Salary * Company Equity for All * Learning and Development Opportunities * Hybrid/Remote Working (Location Dependant) * 30 Day Working Abroad * 4 week Paid Sabbatical after 5 Years Service * Additional Benefits based on location Let's connect! Follow Mambu on LinkedIn for the latest Fintech trends and success stories. Connect with us on Facebook, Instagram, and YouTube to experience our vibrant culture. Explore our mission, values, and the world we're building at mambu.com/careers. Follow the work of our Product and Engineering teams at our Medium Product & Tech Log. As part of the recruitment (or HR onboarding) process, you will be required to obtain authorized criminal background and credit screening results, as well as be queried against a sanctions/anti-money-laundering/counter terrorism financing/politically exposed persons screening service and your employment is conditional upon approval of these results. At Mambu, we encourage all interested candidates to apply, even if they don't meet every listed qualification, as we value diversity and recognize that experience doesn't always perfectly align with job descriptions. We are committed to providing equal opportunities for applicants with disabilities; if you need assistance during the application process, please contact ****************************.

Who we are Join the fintech revolution with Mambu, the leading SaaS cloud banking platform. We're on a mission to make banking better for a billion people. Explore exciting career opportunities and help shape the future of financial services. Learn more here. About the team You will be leading the Platform Engineering team that builds and operates the core cloud platforms supporting Mambu's global banking workloads. The team is responsible for the infrastructure, container orchestration, CI/CD systems, and developer tools that power billions of secure transactions across multiple regions. We work closely with Product Engineering, Security, Architecture and Cloud Operations to ensure the platform is reliable, compliant, and cost-efficient. The focus is on automation, scalability, and simplicity - continuously improving how our products are built, deployed, and operated at global scale. What you'll do Set a clear mission, principles, KPIs, and roadmap for the Lending product area, fully aligned with tribe objectives. Partner with product, architecture, and operations to deliver features that meet customer, regulatory, and performance needs. Embed tech debt reduction as a strategic priority, ensuring the platform evolves with lower maintenance overhead and higher adaptability. Champion AI-augmented development approaches-such as AI-assisted coding, test generation, and documentation-to increase throughput, shorten cycle times, and improve quality. Drive adoption of strong engineering practices: pair programming, test-driven development, CI/CD optimisations, automated quality gates, and peer reviews. Build a high-autonomy, high-alignment culture with streamlined decision-making and effective cross-team collaboration. Ensure operational readiness, cost efficiency, performance, scalability, and compliance with security and regulatory requirements. Represent Lending engineering in strategic discussions with customers, executives, and other stakeholders. What you'll bring 10+ years building and operating SaaS, cloud-native, API-driven platforms; ideally in banking, fintech, or other regulated sectors. 5+ years of hands-on Java engineering and cloud technologies before moving into senior leadership roles. Proven ability to scale distributed systems with high performance, resilience, and cost control. Demonstrated success in addressing technical debt while maintaining or increasing delivery velocity. Experience applying AI tools and data-driven engineering metrics to improve productivity and code quality. Strong leadership skills-trusted by teams and stakeholders to drive change and deliver results. Excellent communication skills, able to engage confidently with executives, customers, and global teams. Comfortable leading in a remote-first, multi-time-zone environment. What you'll get Join us to shape the future of banking, where your professional growth is equally as valued as your personal well-being. Competitive Base Salary Company Equity for All Learning and Development Opportunities Hybrid/Remote Working (Location Dependant) 30 Day Working Abroad 4 week Paid Sabbatical after 5 Years Service Additional Benefits based on location Let's connect! Follow Mambu on LinkedIn for the latest Fintech trends and success stories. Connect with us on Facebook, Instagram, and YouTube to experience our vibrant culture. Explore our mission, values, and the world we're building at mambu.com/careers. Follow the work of our Product and Engineering teams at our Medium Product & Tech Log. As part of the recruitment (or HR onboarding) process, you will be required to obtain authorized criminal background and credit screening results, as well as be queried against a sanctions/anti-money-laundering/counter terrorism financing/politically exposed persons screening service and your employment is conditional upon approval of these results. At Mambu, we encourage all interested candidates to apply, even if they don't meet every listed qualification, as we value diversity and recognize that experience doesn't always perfectly align with job descriptions. We are committed to providing equal opportunities for applicants with disabilities; if you need assistance during the application process, please contact ****************************. We can recommend jobs specifically for you! Click here to get started.

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)

Kandji is the Apple device management and security platform that empowers secure and productive global work. With Kandji, Apple devices transform themselves into enterprise-ready endpoints, with all the right apps, settings, and security systems in place. Through advanced automation and thoughtful experiences, we're bringing much-needed harmony to the way IT, InfoSec, and Apple device users work today and tomorrow. Some of the smartest money in tech has partnered with Kandji to realize our vision, including Tiger Global, Felicis, Greycroft, First Round Capital, and Okta Ventures. In July 2024, Kandji raised $100 million in capital from General Catalyst, bringing Kandji's valuation to $850 Million. Since Kandji's Series C in 2021, the company has seen a 600%+ increase in annual recurring revenue, and its customer base has grown nearly 4X across 40+ industries. Notable customers include Allbirds, Canva, and Notion, and the company has partnerships with such industry giants as ServiceNow, AWS, and Okta. Kandji was also named to Forbes' Next Billion Dollar Startup List 2023 and recognized as a top venture-backed startup with the potential to reach unicorn status. The Opportunity: As an engineering manager at Kandji, you will design and build the core services that power our web application, while maintaining security and scalability. You will work alongside our mac OS and Infrastructure engineers to bring world class products to market. We are looking for an engineering manager with experience empowering teams to ship large-scale, mission-critical enterprise software.How You Will Make a Difference Day to Day: Lead a team of talented engineers who like to ship high-quality code and tackle hard engineering problems Understand and report on progress and pacing of initiatives Create a collaborative work environment that fosters autonomy, inclusivity, innovation, learning, respect, and transparency while holding a high bar for craftsmanship Contribute to and/or execute on the organization's vision and standards around security, quality, observability, and clean code Share your knowledge with team members by reviewing code, collaborating on design documents, giving technical talks, formal mentorship, and JIT feedback Collaborate closely with the Design and Product teams to ensure that your team has a well-defined roadmap Collaborate with other engineering teams to identify, and successfully evangelize opportunities to improve engineering productivity, code quality, automated testing, or other engineering best practices Facilitate the squad's agile meetings by taking on the scrum master role We'd love to hear from you if you have: 7+ years of experience designing, building and deploying scalable frontend and backend applications leveraging modern languages and frameworks (Python, Django, FastAPI and React preferred) 2+ years of hands-on technical leadership and people management experience Experience driving the design and implementation of large-scale initiatives for SaaS products Experience working in high growth startup environments and comfortable balancing tactical and strategic considerations Deep understanding of agile methodologies/mindset and experience facilitating agile ceremonies Thrives in an environment with a high level of autonomy and responsibility Strong communication skills with a customer focus Quality first mindset Exceptional verbal and written communication skills Required to work on-site 5x a week in our Miami office (Coral Gables). Nice to haves, but NOT required: Strong knowledge of cloud platforms (AWS, GCP, Azure). Experience with continuous integration/continuous deployment (CI/CD) pipelines. Benefits & Perks Competitive salary100% individual and dependent medical + dental + vision coverage 401(K) with a 4% company match20 days PTOFlexibility to work from anywhere for up to 30 days per year Kandji Wellness Week the first week in JulyEquity for full-time employees Lunch stipend provided Monday through FridayUp to 16 weeks of paid leave for new parents Paid Family and Medical LeaveModern Health mental health benefits for individuals and dependents Fertility benefits Working Advantage employee discounts Onsite fitness center Free parking Exciting opportunities for career growth We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you're someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you. At Kandji we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences. Kandji is proud to be an equal opportunity employer committed to diversity and inclusion in the workplace. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, physical or mental disability, protected veteran or military status or any other status protected by applicable law.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.

About Scale 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 Pay team: The Pay & Incentives team handles getting contributors paid for their efforts, and making sure that our pay strategies drive the right incentives to get high quality work quickly. If you have a background in payment infrastructure, we'd love to have you be a core part of Scale's business. Responsibilities: Own large areas within our product Comfortable working cross functionally, whether that be internal or external customers Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 5 years of relevant experience is preferred 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:$248,000-$300,000 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.

Outreach, founded in 2014, is the only complete AI Revenue Workflow Platform that helps sales leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. Outreach infuses agentic AI to power 100s of use cases across sales motions. From new logo prospecting to renewal and expansion, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Global organizations use Outreach to power their revenue teams, including SAP, Siemens, Snowflake, ZoomInfo, and Verizon to name a few. To learn more, please visit **************** About the Team Our mission at the Dialog Understanding and Generation team is to build the most advanced AI assistants in the sales engagement domain, empowering customers to optimize their interactions with prospects. Our team is at the forefront of AI innovation, driving current and future AI initiatives through a blend of machine learning and cloud service development. We are a team of applied data scientists who thrive on tackling both scientific and engineering challenges. You'll work closely with top-tier engineers and product managers in a collaborative and high-impact environment, gain hands-on experience with the latest machine learning and cloud services technologies that keep you at the cutting edge of the field. You'll have the opportunity to leverage your creativity and expertise to overcome tough challenges that require innovative solutions. Your Daily Adventures Will Include: Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control Working with stakeholders to make sure our customers have the tools they need to be successful on our platform Finding quick ways to prototype and test possible solutions to large problems Looking up and down the stack for the best return on investment for any given pain point Working on one of the most visible parts of Outreach's product - to both our customers and the rest of our organization Our Vision Of You: 10+ years of experience shipping production quality code in Java, Go or C++, along with strong software engineering skills 4 years of Management experience A strong background in statistics and passion for data are essential for success in this role Experience programming in Python, Java or Go or C++, along with strong software engineering skills Experience with cloud-based service applications Experience with data and model pipelines Familiar with continuous-deployment projects Willing to go above and beyond to help other team members Ability to prioritize details along a path of iterative delivery Ability to quickly ramp up new technologies and start contributing #LI-JM1 Why You'll Love It Here • Flexible time off • 401k to help you save for the future• Generous medical, dental, and vision coverage for full-time employees and their dependents • A parental leave program that includes options for a paid night nurse, and a gradual return to work• Infertility/ assisted reproductive services benefit• Employee referral bonuses to encourage the addition of great new people to the team• Snacks and beverages in the Office, along with fun events to celebrate• Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

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.

Responsibilities Peraton requires Incident Managers to support the Special Operation Command Information Technology Enterprise Contract (SITEC) - 3 EOM. is located at MacDill AFB in Florida. The purpose of the Special Operations Forces Information Technology Enterprise Contract (SITEC) 3 Enterprise Operations and Maintenance (EOM) Task Order (TO) is to provide USSOCOM, its Component Commands, its Theater Special Operations Commands (TSOCs), and its deployed forces with Operations and Maintenance (O&M) services to maintain Network Operations (NetOps); maintain systems and network infrastructure; provide end user and common device support; provide configuration, change, license, and asset management; conduct training, and perform Install, Move, Add, Change (IMACs) services. The responsibilities and tasks associated with each requirement play a pivotal role to USSOCOM, the CIO/J6 organization, and ultimately the end-user who operate around the globe 24x7x365. The Incident Manager will serve as a key member of the newly established Incident Management function within the Operations Support organization and remain focused on high-priority service restoration by owning the administrative and governance aspects of incident management. Manage enterprise-wide incident tickets (primarily P3 & P4) across the enterprise, ensuring: Timely triage and resolution Accurate documentation and categorization Proper escalation and closure protocols Maintain ticket hygiene and contribute to queue health across the ITSM platform Identify recurring issues and contribute to trend analysis reporting Collaborate with the Problem & Modernization Manager to support root cause analysis and service improvement efforts Ensure compliance with incident documentation standards to support governance, audit readiness, and continual improvement Participate in technical exchange meetings and coordination sessions with GEOC, CSD, and operational teams to ensure seamless ticket handoff, functional alignment, and consistent incident documentation across the enterprise Support the development and refinement of escalation workflows and reporting dashboards Contribute to process improvements that reduce redundancy and enhance operational efficiency Qualifications Required Qualifications: Min 12 years with HS degree, 10 years with AS/AA degree, 8 years with BS/BA, 6 years with MS/MA, 3 years with a PHD DoD TS/SCI clearance Experience managing incident tickets in enterprise IT environments Strong understanding of ITIL-based incident lifecycle and escalation protocols Familiarity with ServiceNow or similar ITSM platforms Desired Qualifications: ITIL v4 certification or equivalent operational framework experience Familiarity with Problem Management, Change Management, and Service Modernization functions Familiarity with SOCOM or DoD enterprise environments Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.