Software engineering manager jobs in Castro Valley, CA - 6,822 jobs

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human‑like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in‑office company, driven by a shared commitment to excellence and velocity. Our values-customers are everything, relentless momentum, winner's mindset, and stronger together-shape how we work and grow as a team. About the Team The Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon's growth. You will guide a team to build on our industry‑leading AI agent platform, collaborate directly with customers and use your own creativity to devise long‑term, scalable solutions that support their needs. Our mission is to deliver magical support experiences - AI agents working alongside human agents to help users resolve their issues. About the Role As a leader on the Agent Software Engineering team, you'll have complete ownership and autonomy in shipping best‑in‑class AI agents, from initial implementation through continuous iteration. You'll work directly with leaders across industries like finance, healthcare and hospitality, solving their users' needs with reliable and intuitive AI agents. Engineers here own their work end‑to‑end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users. In this role, you will Lead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention Collaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agents Partner with product, design and research to identify cross‑customer trends that guide the evolution of Decagon's agent building platform and research efforts Contribute to team strategy and help define the future of AI customer support agents Your background looks something like this Have 1+ years of engineering management experience Have 5+ years of industry experience in software engineering Proficiency with Python, Typescript and asynchronous programming A high degree of comfort digging into systems failures within deep technology stacks using any tool necessary Even better Prior experience working with multi‑modal models Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation $300K - $375K + Offers Equity #J-18808-Ljbffr

Sprig is building the AI-native successor to legacy survey tools, like Qualtrics, Medallia, and SurveyMonkey. We believe the future of experience research won't be powered by slow, siloed platforms. It will be fast, intelligent, and deeply integrated into how modern teams build great products. Our mission is to make deep customer understanding effortless and always on. With Sprig, product teams no longer guess. They know. We are creating a future where AI uncovers insights, accelerates workflows, and enables teams to deliver exceptional customer experiences in real-time. Companies like Notion, Figma, Coinbase, and TripAdvisor already use Sprig to stay closer to their customers than ever before. We're scaling quickly toward $100M ARR, launching new AI-powered capabilities, and expanding our impact across the world's most innovative companies. If you're energized by bold ideas, rapid growth, and the opportunity to redefine an entire category, we'd love to meet you. About the Role Sprig is on a path to build a world-class product experience platform that empowers the best businesses to truly understand how their users experience their product at scale. The goal of the Core team at Sprig is to build and deploy high-performing, low-footprint SDKs and develop the dashboard experience to manage these studies. Your work will be used by millions of people throughout the world so ensuring stability, resiliency and performance of our software is critical. This role is based in San Francisco with three days working in office. Your Impact Set a clear and compelling technical direction for the core team. Work closely with Product and Design partners to drive technical decisions that shape the roadmap and influence the broader engineering organization. Hire, develop, and retain top-tier engineering talent. Foster a collaborative, inclusive team environment where engineers thrive and grow in their careers. Ensure timely and high-quality delivery of Web, Mobile, Desktop SDKs and dashboard features around study management. Maintain a strong sense of urgency while upholding our bar for reliability, security, and performance especially for enterprise customers with demanding product and compliance requirements. Champion a culture of ownership and accountability to meet the expectations of Sprig's largest customers. Build systems with reliability, observability, and maintainability in mind to support our public available SDKs used by millions of users. Foster a culture of continuous improvement and knowledge sharing across the team and company. Partner effectively with teams across Product, Design, Customer Success, and Sales to deliver a delightful developer and user experience. Your Strengths Proven experience (8+ years) in software engineering with a strong background in TypeScript, React, and Node.js. Deep understanding of modern web development practices, tooling, and performance optimization. At least 2+ years in an engineering management role, with a track record of building and leading high-performing frontend, mobile, or fullstack teams. Development experience in Mobile and SDKs a nice to have. A hands-on leader who enjoys being close to the codebase, especially early on. You aren't afraid to dive in and code or guide architectural design decisions. Deep appreciation for the unique demands of enterprise customers. You hold a high bar for product quality, security, and service-level expectation. Know how to balance urgency with long-term technical trade offs. Clear and concise communicator. Able to effectively navigate technical and non-technical discussions, and drive alignment across functions. A deep care for the end-user experience and a passion for building tools that developers love to use. Benefits & Perks Competitive Salary Competitive Employee Equity 401K Program Medical, Dental, and Vision Benefits FSA/HSA Benefit $175/month Commuter Benefit Additional Wellbeing Benefits Flexible Paid Time Off Paid Parental Leave Professional Development Stipend Hybrid Office Policy Lunch and dinner daily Company Sponsored Social Events At Sprig, we pride ourselves on being a people-first company, where your contributions truly matter and are valued. We were recently awarded by Fortune as top 50 best places to work in the US, and top 50 Places to Work in the Bay Area by Built In. Come join our mission of building products users love and have a real impact on Sprig's future. Our Commitment to Diversity and Inclusion We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply. Employee Pay Disclosure The salary range for this full-time position is $210,000 - $290,000+ Equity + Benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all locations (San Francisco, CA; New York, NY). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in postings reflect the base salary only, and do not include equity or benefits. ***Please beware of scammers who are posing as Sprig and Sprig team members. Our recruiters ************** email addresses exclusively. We do not conduct interviews via text or instant message, and we do not ask candidates to purchase equipment through us or solicit money from you. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.*** #J-18808-Ljbffr

**Job Description:**GM is developing the next generation of embedded platform software to deliver state-of-the-art features to our customers. To achieve that goal, we are looking for technical managers who coach their teams to success and mentor their direct reports to achieve their potential.The Autonomy Interface SW team is responsible for the software that configures devices like lidars, cameras, radars, and IMUs and delivers sensor data to the AV stack running on GM vehicles. We are looking for a talented Engineering Manager to lead, manage, and grow our Camera platform SW engineering team in a fast-paced environment. The ideal candidate will combine deep technical expertise in embedded systems and camera technology with strong leadership skills to mentor engineers, drive cross-functional collaboration, and deliver high-quality, performant software solutions. Work with technical lead(s) to set the technical direction for the team, and anticipate strategic and scaling-related challenges Work with Engineering Leadership and Technical Program Managers to create and execute on a roadmap for your team Conduct performance reviews, identify top performers, and support their growth into Technical Leadership or Engineering Management roles4+ years experience managing teams who have shipped and support scalable production systems5+ years experience in software engineering roles Effective interpersonal, leadership, and communication skills Bachelor's degree in engineering or equivalent real world experience* Deep understanding of SoC architectures and hardware communication protocols (I²C, SPI, PCIe, USB).* Familiarity with industry-specific frameworks (e.g., Android Camera HAL3, QCOM, or Nvidia video frameworks).* Experience with computer vision or image processing algorithms and performance optimization.Experience building or managing performance and safety critical systems or similar Experience with DO-178, ISO-26262, or IEC-62304 Experience with modern C++11 or later development Experience working with ROS or other robotics frameworks Hands-on experience with camera/video subsystems, including MIPI-CSI interfaces, V4L2 frameworks, and Image Signal Processors (ISP) ***Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report to an office location three times per week, at minimum.****Compensation*****:**The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.The salary range for this role is $185,600.00 to $285,000.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. ***Benefits:***Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.This job may be eligible for relocation benefits. General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, **email**us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest. #J-18808-Ljbffr

About Quizlet At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning Join us to design and deliver AI‑powered learning tools that scale across the world and unlock human potential. About Engineering Quizlet's Product Engineering organization builds the core experiences that help millions of students and teachers achieve their learning goals. We collaborate across teams to achieve user‑centric outcomes, focusing on developing intuitive interfaces, engaging learning tools, and robust, scalable systems. You'll be joining a passionate group of engineers, designers, product managers, and data scientists dedicated to solving real‑world educational challenges. Our teams operate with autonomy, embrace experimentation, and are deeply committed to user‑centric design. We value transparency, inclusivity, and collaboration at all levels. About the Role We are seeking a Senior Engineering Manager to lead Quizlet's Trust & Safety engineering efforts, building the systems that protect learners, educators, and creators while enabling healthy, high‑quality participation across our community. In this role, you will lead teams responsible for moderation, abuse prevention, community integrity, and AI safety infrastructure, working closely with Trust & Safety, Legal, Policy, and Product partners to ensure Quizlet remains a safe, trusted place for learning at global scale. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In this role Lead and grow engineering teams responsible for trust & safety systems, including content moderation, abuse and fraud detection, and enforcement workflows Design and scale proactive safety mechanisms, including automated detection, risk scoring, and policy‑driven enforcement Build tools and platforms that support human‑in‑the‑loop moderation, appeals, and case management Establish engineering best practices for reliability, auditability, and explainability in safety systems Design and evolve community integrity and contribution quality systems that promote safe, constructive participation Build reputation, signaling, and feedback mechanisms that help surface high‑quality content and interactions while reducing harmful behavior Partner with Product to shape community experiences that encourage positive engagement and discourage abuse at scale Strengthen safety capabilities for AI‑generated and AI‑assisted content, including detection, labeling, and transparency mechanisms Build safeguards to prevent misuse of AI features, including prompt abuse, policy evasion, and automated spam or manipulation Support content authenticity, provenance, and policy enforcement for AI‑powered learning experiences Partner closely with Trust & Safety Operations, Legal, Policy, Privacy, and Security teams to translate policies into scalable technical systems Ensure safety systems support privacy, consent, and regulatory compliance across regions Contribute to incident response, postmortems, and continuous improvement of Quizlet's safety posture What you bring to the table 12+ years of software engineering experience with 3+ years managing and scaling engineering teams Proven experience leading Trust & Safety, Integrity, or Platform Safety engineering teams in a production environment Strong people leadership skills, including coaching senior engineers, technical leads, and emerging managers Experience owning execution for complex, cross‑functional initiatives in partnership with Product and Operations teams Hands‑on experience building or operating content moderation, abuse prevention, fraud detection, or enforcement systems Strong understanding of policy‑driven enforcement, escalation, and appeals workflows Experience designing systems that support human‑in‑the-loop moderation and Trust & Safety Operations at scale Familiarity with global trust & safety challenges, including harassment, spam, manipulation, and misuse Strong background in distributed systems, data pipelines, and service‑oriented architectures Experience with ML‑assisted safety systems, rule‑based detection, or risk scoring frameworks Ability to design systems with reliability, auditability, and explainability as first‑class concerns Experience supporting incident response, on‑call rotations, and postmortem‑driven improvement Experience building or supporting safeguards for AI‑generated or AI‑assisted content Understanding of risks related to prompt abuse, policy evasion, automation, and content manipulation Familiarity with content authenticity, labeling, or provenance mechanisms is a strong plus Ability to balance rapid AI innovation with responsible deployment and user protection Proven ability to partner closely with Trust & Safety Operations, Legal, Policy, Privacy, and Security teams Strong communication skills for translating policy and risk requirements into technical execution Sound judgment and calm decision‑making in high‑stakes or ambiguous situations Deep commitment to user safety, trust, and ethical technology Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $235,781 - $311,070. The total compensation is dependent on location and experience, as well as company stock options Collaborate with your manager and team to create a healthy work‑life balance 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice) Employer‑sponsored 401(k) plan with company match Access to LinkedIn Learning and other resources to support professional growth Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice Why Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting‑edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top‑tier investors, sustainable business, real traction 🎯 Mission‑first: Work that makes a difference in people's lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high‑quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! #J-18808-Ljbffr

A leading voice technology company in San Francisco is seeking a Principal Engineering Manager to build and lead a high-performing engineering team. In this role, you'll be responsible for hiring, developing engineers, and ensuring team success on a demanding roadmap. The position offers a competitive salary ranging from $235K to $250K along with equity options, comprehensive health coverage, and a flexible time-off policy. Join a kind, ownership-focused team making a generational impact through voice technology. #J-18808-Ljbffr

Hover is making the homeowner journey easy, transparent and fun. Starting with the home improvement industry, we're answering age-old questions like, “What is it going to look like?” and “What is it going to cost?”, by helping homeowners and pros visualize what's possible with Artificial Intelligence (AI) and interactive 3D property models. Homeowners, contractors, and insurance professionals all use Hover to get fully measured, accurate, and interactive models of any property-in a matter of minutes, and with just a few snaps of a smartphone camera. Join a team that is rooted in challenging the status quo, persistence, and dedicated to serving our employees, customers, and communities. With key investors, including Google Ventures and Menlo Ventures and leading insurance carriers such as Travelers, State Farm, and Nationwide, Hover is committed to changing the world, one home at a time. At Hover, we believe there is strength in diversity and are fostering an inclusive and diverse culture by hiring qualified, talented people from a wide variety of backgrounds. Why Hover wants you Our Computer Vision team has doubled in size over the past year, and we're looking for a strong engineering manager to keep that momentum healthy and sustainable. You'll partner with our current CV leader to split the growing roster into focused pods, establish clear ownership boundaries, and ensure the team's research breakthroughs continue to land in production on predictable cadences. In this role, you'll hire, coach, and retain top vision talent. By running clear onboarding, growth plans, and regular feedback loops, you'll foster a culture where senior ICs level up, future leaders emerge, and every engineer feels empowered to deliver at scale. You will contribute by You'll start by building and nurturing a high-caliber team. From sourcing and interviewing to structured onboarding, performance coaching, and career-pathing, you'll make talent development your first priority-creating an inclusive, high-trust environment where senior researchers and engineers thrive and emerging leaders get the stretch roles that level them up. Regular one-on-ones, clear growth goals, and transparent feedback cycles will ensure every team member knows exactly how their work advances both their career and Hover's mission. You'll co-own the computer-vision roadmap alongside Product and Design, translating market opportunities and research breakthroughs into a sequenced plan. You'll steer projects through data strategy, experimentation, and production deployment, enforcing engineering standards that keep accuracy high, latency low, and costs predictable. Throughout, you'll communicate progress and trade-offs to executives, champion best practices across teams, and continually refine team structures so that our growing organization ships customer-delighting innovation at an ever-increasing velocity. Your background includes 5+ years managing high-impact CV/ML teams that ship production systems at scale. Hands-on expertise in 3D reconstruction, multi-view geometry, or ML-based reconstruction. Proven track record partnering with product teams to scope features, run experiments, and iterate based on customer feedback and data. Familiarity with modern MLOps stacks (cloud GPUs, CI/CD, monitoring) and a passion for measurable reliability and cost control. Ability to articulate complex trade-offs to executives, engineers, and customers alike. Bachelor's, Master's, or PhD in CS, ML, or related field. Nice to haves Experience managing geographically distributed or hybrid teams. Publications in CVPR/ICCV/ECCV and a track record of turning research into revenue Benefits Compensation - Competitive salary and meaningful equity in a fast-growing company Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents Paid Time Off - Unlimited and flexible vacation policy Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave Mandatory Self-Care Days - A day set aside each month to allow employees to recharge Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications Hybrid roles at Hover Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles. The US base salary range for this full-time position is $238,000 - $272,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. #LI-__1 #LI-Hybrid #J-18808-Ljbffr

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy. About the Role As Gusto transitions to an AI-native company, this role will help shape how intelligence is embedded across our Growth platform-from acquisition to onboarding to expansion. You'll lead engineering efforts that make our systems adaptive, data-driven, and intelligent by design. This means building not only for scale and reliability, but for learning and continuous optimization-where every part of the funnel can reason, predict, and personalize. You'll operate at the intersection of Growth systems, AI capabilities, and platform evolution to help unlock Gusto's next phase of sustainable revenue growth. About the Team The Onboarding & Activation team accelerates Gusto's revenue growth by designing, innovating, and experimenting with the most critical acquisition paths-the customer onboarding experience. We're obsessed with building the most customer-centric experience that not only helps customers get across the finish line of payroll setup (ie. Conversion), but also ensuring awareness and setup of other products (ie. Activation) that the customer needs. We're in an exciting phase of reimagining our onboarding experience, evolving it from a single-product focused journey to a multi-product onboarding experience. Our focus is shifting from deterministic user journeys to intelligent growth systems-ones that understand intent, tailor experiences, and continuously improve through data and feedback. We're looking for a strategic and motivated engineering leader to empower and scale the Onboarding & Activation team that is building Gusto's next big thing! Here's what you'll do day-to-day Build and foster an inclusive, collaborative, and impact-oriented culture Collaborate closely with Product, Design, and Data Science to define, iterate, and execute on initiatives contributing to revenue growth Champion AI-native patterns in Onboarding platform-designing for learning loops, feedback-driven iteration, and safe model usage in customer-facing contexts. Help establish and guide the team on best practices for experimentation, evaluation, and observability in AI-augmented Growth experiences. Collaborate with AI platform and data science teams to integrate model-driven insights into Onboarding workflows-such as onboarding personalization, intelligent package recommendations, and AI-driven experiences that answer user's questions while helping them accomplish their tasks. Engage with all development teams across Gusto to align and drive towards long-term maintainability and stability of our systems. Mentor and provide guidance to individual team members, fostering growth and development. Here's what we're looking for 12+ years of professional software development experience 5+ years of engineering management experience, preferably revenue-driving teams Product engineering teams or Growth teams Experience managing multiple teams, and managing EMs Curiosity and ability to operate in an AI-native environment-integrating intelligence, automation, and experimentation into how we grow the business. Experience in highly cross-functional environments for highly complex products. Experience in scaling Engineering organizations. Nice to have: Experience building and maintaining onboarding experiences and package recommendations. Experience in experimentation and user experience optimization. Experience working cross-functionally with Revenue teams. Experience incorporating AI and ML into product experiences. Our cash compensation amount for this role is targeted at $220,000 - $275,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $185,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice. #J-18808-Ljbffr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. What the job involves As an Engineering Manager, you will lead the development and refinement of a cutting-edge perception system, leveraging deep learning for real-world applications. Your expertise in computer vision, deep learning, and team leadership will drive performance improvements and seamless integration across the company. Responsibilities Oversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement. Lead a team of computer vision and perception engineers to develop and refine the system in a hands-on manner. Spearhead the development of robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification. Champion the development and training of deep learning models for complex urban scene perception and real-time analysis. Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models. Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system. Foster automation in the improvement cycles of deep learning models used within the perception system. Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements. Utilize data visualization tools to present complex information clearly for informed decision-making. Qualifications Ph.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field. 2+ years leading and managing teams focused on developing real-world computer vision and perception systems using deep learning on edge devices. Proven ability to deploy these systems with: Deep Learning Frameworks: Expertise in PyTorch or TensorFlow (one mandatory, familiarity with both a plus). Computer Vision Libraries: OpenCV. Deployment Optimization Tools: TensorRT. Strong Python programming and software design with experience in Pandas. Experience deploying DL models to run on real-world, resource-constrained, systems with a pragmatic approach towards problem-solving. Demonstrated proficiency in data science and traditional machine learning (SVMs, Random Forests). Prior experience with automated machine learning pipelines is desirable. Proven industry track record with experience in: Automated data annotation for computer vision. Training multi-task and semi-supervised deep learning models for video data. Familiarity with designing multi-modal deep learning models incorporating temporal context and geometrical constraints is a plus. #J-18808-Ljbffr

A leading live shopping platform is seeking a Senior Leader for App Platform Engineering. This role involves leading mobile teams responsible for crafting a seamless mobile experience across iOS and Android. Ideal candidates will have over 10 years of software engineering experience, a strong background in mobile architecture, and proven leadership skills. This position offers a competitive salary and comprehensive benefits, promoting innovation and collaboration in a flexible work environment. #J-18808-Ljbffr

About the Team The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways-especially for youth and families. We work across OpenAI's entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility. This work is core to OpenAI's mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth. About the Role We\'re looking for an Engineering Leader to help build the foundational systems that power family and youth-facing experiences at scale. You\'ll help define how teens and guardians engage with OpenAI products-ensuring those experiences are safe, compliant, and empowering. You\'ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts. This is a high-impact opportunity to set the standard for how families interact with generative AI. In this role, you will: Hire and manage a diverse, high-performing engineering team Guide the team in implementing teen and guardian experiences across OpenAI products, including ChatGPT Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale Help define safety and well-being metrics, and continuously improve user trust through technical interventions Ensure your team of engineers are performing at their peak, are growing, and advancing in their careers You might thrive in this role if you: Have at least 5 years of experience managing the team, ideally in a closely related domain Have experience in trust & safety, youth well being, anti-fraud or anti-abuse spaces Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position Experience closing competitive candidates for their team and the ability to craft and convey compelling visions of the future Very high emotional intelligence and deeply empathetic personality. A strong ability to read between the lines and genuinely connect with fellow colleagues A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary Are deeply thoughtful about culture and building strong teams About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $325K - $405K #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Manager Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One's foundational cloud infrastructure layer, including observability, connectivity, resilience and availability. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 6 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 7+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Mgr, Software Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

A leading tech company is seeking a manager for the SRE Pipelines Team to provide architectural leadership and mentor engineers. In this role, you will help develop CI platforms, enhance team performance through collaboration, and drive automation practices. Ideal candidates should have experience leading teams, developing large-scale systems, and a strong background in tools like Ansible and Docker. Competitive compensation and extensive benefits are available. #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next‑generation AI inference platform. You will be responsible for guiding the team through the design and implementation of high‑performance, fault‑tolerant infrastructure to serve large language models (LLMs) at scale. This role combines technical depth with people leadership - you'll help shape the engineering roadmap, drive execution across key projects, and mentor a team of high‑caliber engineers. As part of a fast‑growing, strategically important organization, you'll partner closely with product, business, and platform stakeholders to deliver a performant and reliable platform powering AI for customers worldwide. This is an on‑site role based in San Francisco, CA, or Sunnyvale, CA, requiring in‑office presence. What You'll Be Working On Team Leadership & Strategy: Manage and grow a team of software engineers working on Crusoe's Managed AI platform Set clear goals, drive accountability, and support career development for team members Partner with product and engineering leadership to define and execute on the AI roadmap Foster a high‑performance, collaborative engineering culture grounded in technical excellence Technical Execution: Enhance the architecture and development of core AI services, including: Fault‑tolerant task queues Model management systems Cost‑aware scheduling frameworks High‑performance APIs for real‑time inference Ensure the team delivers scalable systems capable of handling millions of API requests per second Guide the team in implementing performance optimizations for GPU‑based inference workloads Collaboration and Influence: Work cross‑functionally with product managers, infrastructure teams, and GTM stakeholders Represent engineering in strategic discussions related to AI platform growth and customer adoption Promote knowledge sharing, technical mentorship, and operational best practices within the team Contribute to the evolution of Crusoe's engineering processes and broader AI strategy What You'll Bring to the Team Leadership Experience: 2+ years of experience managing high‑performing engineering teams Strong track record of hiring, developing, and retaining engineering talent Ability to lead teams through ambiguity and drive alignment around complex technical goals Technical Depth: Prior hands‑on experience building distributed systems or AI infrastructure Deep understanding of cloud‑native environments, container orchestration, and service‑oriented architectures Familiarity with GPU performance, inference frameworks, or LLM‑based systems is a strong plus Product & Delivery Focus: Comfortable owning deliverables from early design through production rollout Strong collaboration skills, with a bias for clarity, context sharing, and customer impact Experience operating in fast‑paced startup or growth‑stage environments Preferred Qualifications: Background in Computer Science, Engineering, or a related technical field Proficiency in Python or Golang Familiarity with open‑source AI ecosystems (e.g., VLLM, Hugging Face, Triton) Experience working with Kubernetes, gRPC, and observability stacks Personal Attributes: Growth‑minded leader who empowers and supports others Excellent communicator and relationship builder Passionate about building world‑class AI infrastructure and teams Benefits Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Compensation will be paid in the range of $233,000 - $282,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

About Quizlet At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning Join us to design and deliver AI‑powered learning tools that scale across the world and unlock human potential. About Engineering Quizlet's Product Engineering organization builds the core experiences that help millions of students and teachers achieve their learning goals. We collaborate across teams to achieve user‑centric outcomes, focusing on developing intuitive interfaces, engaging learning tools, and robust, scalable systems. You'll be joining a passionate group of engineers, designers, product managers, and data scientists dedicated to solving real‑world educational challenges. Our teams operate with autonomy, embrace experimentation, and are deeply committed to user‑centric design. We value transparency, inclusivity, and collaboration at all levels. About the Role We are seeking a Senior Engineering Manager to lead Quizlet's Trust & Safety engineering efforts, building the systems that protect learners, educators, and creators while enabling healthy, high‑quality participation across our community. In this role, you will lead teams responsible for moderation, abuse prevention, community integrity, and AI safety infrastructure, working closely with Trust & Safety, Legal, Policy, and Product partners to ensure Quizlet remains a safe, trusted place for learning at global scale. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In this role Lead and grow engineering teams responsible for trust & safety systems, including content moderation, abuse and fraud detection, and enforcement workflows Design and scale proactive safety mechanisms, including automated detection, risk scoring, and policy‑driven enforcement Build tools and platforms that support human‑in‑the‑loop moderation, appeals, and case management Establish engineering best practices for reliability, auditability, and explainability in safety systems Design and evolve community integrity and contribution quality systems that promote safe, constructive participation Build reputation, signaling, and feedback mechanisms that help surface high‑quality content and interactions while reducing harmful behavior Partner with Product to shape community experiences that encourage positive engagement and discourage abuse at scale Strengthen safety capabilities for AI‑generated and AI‑assisted content, including detection, labeling, and transparency mechanisms Build safeguards to prevent misuse of AI features, including prompt abuse, policy evasion, and automated spam or manipulation Support content authenticity, provenance, and policy enforcement for AI‑powered learning experiences Partner closely with Trust & Safety Operations, Legal, Policy, Privacy, and Security teams to translate policies into scalable technical systems Ensure safety systems support privacy, consent, and regulatory compliance across regions Contribute to incident response, postmortems, and continuous improvement of Quizlet's safety posture What you bring to the table 12+ years of software engineering experience with 3+ years managing and scaling engineering teams Proven experience leading Trust & Safety, Integrity, or Platform Safety engineering teams in a production environment Strong people leadership skills, including coaching senior engineers, technical leads, and emerging managers Experience owning execution for complex, cross‑functional initiatives in partnership with Product and Operations teams Hands‑on experience building or operating content moderation, abuse prevention, fraud detection, or enforcement systems Strong understanding of policy‑driven enforcement, escalation, and appeals workflows Experience designing systems that support human‑in‑the-loop moderation and Trust & Safety Operations at scale Familiarity with global trust & safety challenges, including harassment, spam, manipulation, and misuse Strong background in distributed systems, data pipelines, and service‑oriented architectures Experience with ML‑assisted safety systems, rule‑based detection, or risk scoring frameworks Ability to design systems with reliability, auditability, and explainability as first‑class concerns Experience supporting incident response, on‑call rotations, and postmortem‑driven improvement Experience building or supporting safeguards for AI‑generated or AI‑assisted content Understanding of risks related to prompt abuse, policy evasion, automation, and content manipulation Familiarity with content authenticity, labeling, or provenance mechanisms is a strong plus Ability to balance rapid AI innovation with responsible deployment and user protection Proven ability to partner closely with Trust & Safety Operations, Legal, Policy, Privacy, and Security teams Strong communication skills for translating policy and risk requirements into technical execution Sound judgment and calm decision‑making in high‑stakes or ambiguous situations Deep commitment to user safety, trust, and ethical technology Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $235,781 - $311,070. The total compensation is dependent on location and experience, as well as company stock options Collaborate with your manager and team to create a healthy work‑life balance 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice) Employer‑sponsored 401(k) plan with company match Access to LinkedIn Learning and other resources to support professional growth Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice Why Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting‑edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top‑tier investors, sustainable business, real traction 🎯 Mission‑first: Work that makes a difference in people's lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high‑quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! #J-18808-Ljbffr

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data and AI infrastructure platform so our customers can use deep data insights to improve their business. We're looking to hire a Senior Engineering Manager to join our Photon team and help shape the next generation of lightning-fast, scalable data processing. As a Senior Engineering Manager, you'll lead world‑class engineers building Photon-the cutting‑edge query engine powering Databricks' industry‑defining Lakehouse Platform. This is your opportunity to drive innovation at massive scale, optimize data systems for real‑world impact, and collaborate with top minds in query optimization/execution, storage, and large‑scale analytics. If you're passionate about empowering teams, architecting pioneering technology, and making analytics dramatically faster for millions of users, we want you on our team. The key responsibilities include: Lead and grow a team of top‑tier software engineers. Drive the development of the Photon query engine and differentiating performance features. Partner with product and engineering leadership to define the roadmap and deliver industry‑leading performance. Foster a culture of technical excellence, innovation, and collaborative problem‑solving. Mentor and develop future leaders through coaching and growth opportunities. Attract, hire, and retain exceptional engineering talent. What we look for: Deep expertise in database kernel or internals development (query execution, optimization, or storage engines). 8+ years of experience in database internals or related systems engineering. 5+ years of engineering management experience, including building and scaling high-performance teams. Proven ability to hire, develop, and retain top engineering talent. Strong track record of delivering complex, high-scale distributed systems. BS in Computer Science (MS or PhD preferred). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking an experienced Engineering Manager to oversee the Atlas browser engineering team. The ideal candidate will have over 5 years of experience in managing high-performing teams and a proven track record of delivering impactful projects. This role involves driving complex projects and ensuring product quality while fostering a collaborative environment. The compensation range is competitive. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking an Engineering Manager for their Managed AI team. The role involves leading engineers in building a next-generation AI platform, enhancing core services, and collaborating cross-functionally. Ideal candidates will have experience in distributed systems, team leadership, and strong technical skills in cloud environments. The position offers competitive compensation and comprehensive benefits. #J-18808-Ljbffr

About the Team The ChatGPT team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We are looking for an experienced and strategic engineering leader to guide our efforts around user growth for ChatGPT. As part of this, your team will improve discoverability, onboarding and the new user experience, social features, and more through strategic bets and rapid experimentation. In this role, you will: Hire and manage a diverse, high-performing engineering team Improve discoverability, onboarding and the new user experience, social features and more Define and track progress against key user growth metrics via rapid, data-driven experimentation Coach engineers to uplevel their impact Create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think You might thrive in this role if you: Have 10+ years of experience in engineering, including 6+ years of experience in engineering management Have experience building and leading growth engineering in a fast-paced environment Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams Take pride in both rapid experimentation and in building delightful, reliable product experiences Have a strong track record of coaching engineers to achieve their peak potential Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary Have experience closing competitive candidates for your team, and the ability to craft and convey compelling visions of the future Have a voracious and intrinsic desire to learn and fill in missing skills-and an equally strong talent for sharing learnings clearly and concisely with others About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr