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Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Staff Mechanical Design Engineer - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: Mechanical Design Engineering Team Lead - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: At ICEYE, every satellite is a marriage of precision engineering and robust reliability. As we continue expanding both our operations and spacecraft platforms with more and more demanding mission requirements there is a need for an engineering professional who has extensive experience from mechanical engineering, system integration as well as manufacturing and qualification of space hardware. As a Staff Mechanical Engineer, you will be responsible for ensuring our engineering solutions will meet the stringent Aerospace quality requirements in terms of structural integrity, reliability and efficient and cost effective manufacturing. You will be an important part of our Spacecraft engineering community and help ICEYE continue building the world’s leading SAR satellite constellation. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Lead and contribute to trade studies, design reviews (PDR/CDR), and verification and production qualification documentation (PRR/ERR). - Ensure smooth, seamless and on time product delivery, from concept to qualification. - Contribute to the continuous improvements of our current products. - Collaborate with suppliers, supply chain, AIT engineering and QA department to ensure our products are compliant with launch and on-orbit environments. - Collaborate with system and subsystem engineers to define requirements for new products. - Collaborate with both internal and external engineering teams and AIT teams during product integration and build to validate the engineered solutions are meeting the set requirements and targets. Support issue resolution if and where necessary. - When needed, engage in broader spacecraft mechanical design tasks, providing cross-disciplinary support. WHAT WE’RE LOOKING FOR Must haves: - Master’s degree in Mechanical Engineering, Aerospace Engineering, or related field - Experience in aerospace, automotive, or related industries - Experience in designing satellites structures, subsystems or similar complex electromechanical systems - Understanding of mechanical stress, vibration, and thermal effects on space structures & mechanisms - Ability to work cross-functionally with systems, electrical, and manufacturing teams - Familiarity with industry standards such as ECSS, NASA, MIL - Strong team working, analytical, documentation, and communication skills - Ability to make multi team and organisational impact Nice to haves: - Experience with PLM/PDM systems for configuration control - Hands-on experience with mechanical systems assembly, integration, and testing - Prior experience with launch vehicle or spacecraft environments (SpaceX, Rocket Lab, ESA, etc.) APPLICATION PROCESS - Talent Attraction Introduction - Hiring Manager Alignment - Task Assignment - Technical Interview - Director Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: London Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THE COHERE TPM ROLE? As our Generative Machine Learning organization has continued growing, we are looking for more Technical Program Managers to join the team! At Cohere, TPMs are pivotal to our success, being seen as operational experts specializing in cross-functional efforts. Great TPMs at Cohere are well-rounded, executing with precision at the tactical level, while partnering with senior leaders and shaping the big picture at a strategic level, and the opportunities are endless in growing the scale and impact of their work. Cohere’s TPMs would often be described as organized, execution-oriented, pragmatic leaders who are adaptable to the needs of the company and the programs they lead. As a reward for the depth and breadth of expertize that you bring to the table, you will get to work alongside some of the most talented AI researchers and industry experts in the world on building cutting edge AI technology. No day will be the same as the one before, and the dynamic high growth environment will be absolutely perfect for anyone excited about solving novel problems, bringing structure to oftentimes chaotic and fast-paced environments, and ambitious about scaling their own impact and growth alongside the company! Please note: While we are remote-first and accept candidates from all over the world, we are highly prioritizing hiring for people who are within 1-2 hours of British Standard Time (BST). AS A MACHINE LEARNING TECHNICAL PROGRAM MANAGER, YOU WILL: - Establish, improve, and scale foundational processes that allow the Generative Modeling teams to execute better, faster, and more predictably - Scale the operational capacity and effectiveness of the Modeling TPM team in collaboration with the Modeling TPM lead to ensure the function can remain lean and effective during a period of the program portfolio complexity and size continuing to rapidly increase - Flexibly adapt to the needs of the company, programs, and the team from tackling long-horizon programs that can span quarters or even years to jumping onto often highly ambiguous short-term challenges that can have company-wide impact - Partner directly with leaders within and outside of the Modeling organization on efforts to design, train and improve our core generative models - Lead cross-functional, oftentimes company-wide programs and strategic initiatives, collaborating and coordinating with cross-functional teams such as Product, Engineering, Legal, Platform, Infra, Policy, and Finance - Operate as an organizational expert in improving engineering execution rigor and operations on the ground, while contributing to the strategic layer in areas such as long-term strategic planning with senior modeling leadership - Map out dependencies and risks, and ensure that cross-functional execution across the program runs smoothly, communicating status with non-technical and technical stakeholders and senior management - Both own and enable a useful communication flow of priorities, ideas, and knowledge throughout and beyond the Modeling organization in line with your programs - Respond quickly to program-level changes, clarifying new scope, and managing resource needs in response to evolving priorities YOU MAY BE A GOOD FIT IF YOU HAVE: - 5-10 years as a Technical Program Manager AND 5+ years of experience working directly on AI/ML. Strong preference for candidates that have worked directly in building foundation models. - In-depth knowledge of machine learning, particularly when it comes to Natural Language Processing & Large Language Models (LLMs). Bonus points for experience with Multimodal AI. - Experience with working in a chaotic, fast paced, low structure environment. We need someone who is pragmatic, can roll up their sleeves when needed, and can function at the tactical and strategic level to do whatever it takes to make Cohere’s models succeed - Personal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space as opposed to traditional software program management - Managed projects & programs requiring a strong general business acumen, such as coordinating with Finance on reporting needs or Policy on regulatory compliance matters — the broader your experience beyond ML technical program management, the better! - (optional, but preferred) Have technical experience in a hands-on capacity. We don’t necessarily need someone with hands on experience training models, but you need to feel comfortable sitting in the same rooms with some of the best researchers in the world, working on highly complex, cutting edge ML problems If some of the above - other than the ML TPM experience - doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you. We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the Role Reddit’s Ads Creative Effectiveness team sits at the heart of our creative strategy, building GenAI and predictive products that help advertisers ship high-impact campaigns. We are searching for a Staff engineer with in-depth GenAI expertise that can help us build the future of generative products for ad creative at Reddit - best-in-class image, video and copy generators that leverage Reddit’s best practices, performance-guided generations that maximize clicks and conversions, and brand safe, product preserving image/video editing pipelines. What you’ll do: Advanced Generative Workflows: Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of product, font, logo and brand asset preservation using techniques like IP-Adapters, and LoRAs. End-to-End Image & Video Editing: Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines. LLM/VLM Fine-Tuning: Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads). Safety & Compliance Layer: engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content. Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the Ad Manager UI and the ad delivery path. Guardrails & Safety: Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers. What we’re looking for: Deep ML Expertise: Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning & RLHF/RLPF for ads. Quant & Experimentation Chops: Comfort with uplift metrics, variance, minimum detectable effects and experimentation setups for generative systems. Ads / Marketplace Insight: Understanding auction dynamics and advertiser pain points to create tools that drive revenue and retention. Startup Mindset: Bias to action, comfort with ambiguity, and scrappiness: ACE evolved from a startup acquisition and still moves fast. Communication Superpowers: Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike. Prior work on ad creative tooling: Headline generators, image generators, pre-test models, editing flows for the advertiser. Nice-to-have Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Staff Engineer, Robot Learning to lead engineering for our real-to-sim product within the Embodied AI group. One of the fundamental problems facing autonomy teams is the sim-to-real gap in visual-spatial understanding, and we're applying decades of experience encoding the world precisely as it is to build the scalable real-to-sim stack for embodied AI. Working alongside the group's General Manager and Product leader, you'll inform the roadmap, own the technical requirements our researchers and engineers build against, and personally prototype and evaluate the changes you propose. You've lived the problems our customers are solving: you've trained and deployed embodied AI systems, seen where and why simulation fails to predict real-world performance, and worked through the consequences. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial tech lead who loves to build and is energized by helping those around them do the best work of their lives. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Sharpen the Roadmap - Bring first-hand knowledge of customer pain, existing solutions, and the value of doing better to roadmap decisions, and help focus effort on the most consequential problems to solve. - Own the Technical Requirements - Guide the team to design the real-to-sim stack pragmatically. Make the final recommendation on what to build, integrate, and simplify, ensuring capabilities work within customers' existing training and evaluation workflows. - Benchmark the Impact - Working with our Real-World Test Lab, design and run reproducible evaluations that measure the impact of our real-to-sim stack on policy transfer and real-world performance against customers' existing approaches. - Build and Ship - Lead engineering delivery and personally build critical features. Keep scope tight, remove blockers, and get performant capabilities into customers' hands quickly. - Raise the Technical Bar - Set a high bar for the team's work and deepen its understanding of robotics development and deployment, driving incremental improvement every week. What You'll Bring - Experience training, evaluating, and deploying robot policies in systems used by enterprise or government customers, with responsibility for performance in real operating conditions. - Deep practical experience using simulation for policy training or evaluation, including tools such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, or equivalent. You have diagnosed sim-to-real failures and understand when greater fidelity improves outcomes. - Hands-on experience with reinforcement learning, imitation learning, or both, and with deep-learning frameworks such as PyTorch. - A practical understanding of how visual perception and 3D scene representations affect robotics training, evaluation, and real-world performance. - Experience running experiments on real robots, from an ambiguous hypothesis through to defensible results. - Strong Python and C++ skills, with experience building reliable production software. - A bachelor's degree or higher in a relevant field. Nice to Have - You've authored or maintained a public robotics benchmark. - You've helped take an early product to repeatable adoption across multiple customers. - You've built or substantially extended robotics simulation infrastructure, including scene authoring, domain randomization, or large-scale training and evaluation. - You've trained and deployed vision-based navigation or mobility policies, particularly in varied, unstructured environments. - You've built pipelines that turn real-world reconstructions into simulation-ready environments. Competencies - Always Learning. Staying on top of the latest academic breakthroughs and commercial advancements, particularly in real-to-sim-to-real. - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to delivering customer value without going through one-way doors that undermine future scaling. - Confident and credible with customers. You can sit alongside an autonomy engineer and help them get to the root of their problems. You are comfortable speaking to customers and bring commercial nous to those discussions. Compensation & Benefits The expected salary range for this role is $270,000 – $300,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Large teams of agents are starting to solve problems no single agent can, from rewriting major codebases to formalizing landmark mathematics. Our team studies how these teams scale: what happens to performance, cost and coordination as the number of agents, the compute budget and the length of the task grow, and what has to change to keep getting returns from that scale. We build the platform and evaluations Anthropic uses to run and measure large agent teams, and other research teams build on them. This role lives at the boundary between research and engineering. It is a generalist role on a small team: you'll design and run large experiments, build the systems they run on, and get to the bottom of surprising results. We often need to go from a vague question to a running experiment quickly. Responsibilities: Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale Design evaluations for long-horizon problems, and keep their results trustworthy Build the tooling and metrics that let researchers see what a large agent team is doing and why Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly You may be a good fit if you: Have significant software engineering, ML or research engineering experience Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project Genuinely enjoy both research and engineering work Think quantitatively about complex systems, and think twice before trusting a number Can work from a vague question rather than a spec Are results-oriented, with a bias towards flexibility and impact Have clear written and verbal communication Care about the societal impacts of your work Strong candidates may also have: Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure Built evaluations, benchmarks or harnesses for LLMs or agents Experience building complex agentic systems that use LLMs Experience with scaling laws or other large-scale empirical research A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Prior experience with multi-agent systems or reinforcement learning Representative projects: Measure how performance scales with the number of agents on a hard problem, and explain where the curve bends and why Prepare our largest-ever agent run: find what breaks as team size and task length grow together, and fix it before launch Work out how to allocate a fixed compute budget across a team of agents to solve a problem fastest Build tooling that turns the activity of a large agent team into something a researcher can read in minutes Design a novel eval that distinguishes real gains in teamwork from artifacts of the evaluation setup The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Anywhere Job Description: B12's engineering team views software as a craft, but improving the world as the reason to practice it. Our engineers are responsible for prioritizing, conceptualizing, co-designing, building, testing, and engaging users for any concept we are building out. We’re generalists in encouraging each other to experience the full stack, but we’re also aware of each other’s preferences in the stack. For this role in particular, we’re searching for a tenured full-stack engineer who brings strong backend/infrastructure skills (and an interest in using them) to the product. We mentor and teach where we can, both inside and outside of the company, and as a Staff Software Engineer, you will be responsible not only for your ownership of major projects, but also mentorship of the team members with whom you ship those projects. We value sharing our work with the outside world. Our team has published papers on forming expert flash teams and machine-mediated worker hierarchies. We’ve baked our research into various open source tools in the space of creativity, expertise, and knowledge work. We hope our engineers have more longevity than any one tool we use, but here is a sampling of our current thoughts about technology: We live on Python/Django and TypeScript/React. We store blobs in Amazon’s S3, munch on them in Amazon’s EC2, develop in Docker, and deploy containers to Amazon’s Elastic Beanstalk. We believe PostgreSQL should be the first system you consider when thinking about persisting structured data. We clean and centralize data in Amazon’s Redshift, and are able to answer almost any question in SQL. We leverage AI in our product and our internal tooling, and faced with a landscape in constant flux, try to pick the right model or agent on a task-by-task basis. Our new code is almost 100% LLM-generated, and we’ve thought hard about ensuring quality in the face of ever-increasing review loads , what processes humans are still best a t, and how the practice of mentorship must adapt in the face of these new tools . We have near-full test coverage on the backend, and are making progress on our frontend and integration tests. We set up continuous integration and deployment because, while this model comes with its own pains, we’ve disliked being on fixed release schedules on previous projects. We like to move fast and support point-in-time recovery :). You’d be a good fit if You have 10 or more years of experience building products and systems in production. You are an amazing communicator. You feel comfortable managing your time and deciding among competing priorities. You are curious. You have a high ownership mentality. You enjoy learning and teaching. You are comfortable working with backend and frontend technologies, but have a deeper background and interest on the backend/infrastructure side. You care about and want to contribute to our mission of helping people do meaningful work. What does a staff engineer do here? This is B12’s first Staff Engineer hire on a ~10-person product team that includes a designer, product manager, and CTO. To understand what we’re looking for in someone with this much experience, here are some concrete examples of tasks you’d work on in a month: Own the delivery of a project of the magnitude “we ship one or two of these a quarter,” both individually shipping code and rallying and supporting team members in doing so. Participate in quarterly planning to identify key projects to work on next quarter. Mentor other engineers who are in the planning, prototyping, or implementation phases of a project. Respond to an incident, write up a postmortem, and improve tooling and infrastructure to help us prevent or more quickly respond to the issue and others like it in the future. Identify and optimize some infrastructure that costs too much, is too slow, or isn’t stable enough. Discuss an early design/prototype with a designer or product manager to help shape its direction and explain what will be easy or hard to implement. Unblock an operational team member on a data analysis project that answers a hairy question facing our business. Run a brainstorm with engineers to identify how we might work more effectively or ship with a higher level of quality. Don’t fear: We highly favor talent and interest. Some candidates may see this list and feel discouraged because they don’t match all the items. Please apply anyway: there’s a good chance you’re more wonderful than you think you are. B12 is a safe place for human beings. We particularly encourage you to apply if you identify as a woman, are a person of color or other underrepresented minority, or are a member of the LGBTQIA community.

Location: London, United Kingdom Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . As the Chief of Staff to the EVP of Global Ad Sales, you will serve as a high-leverage strategic operator, executive proxy, and force multiplier across the Global Sales Organization (GSO). Your key function is to scale executive attention, accelerate decision velocity, and translate GSO’s highest strategic priorities into clear execution and follow-through. The ideal Chief of Staff operates with high EQ to maintain Reddit’s open, collaborative, and accessible culture while ensuring that executive time is prioritized for high-impact drivers. You will partner closely with Sales Strategy & Operations, regional sales leadership, and cross-functional executive teams to orchestrate a seamless operational rhythm and drive global alignment. This role is required to be based in New York or London. Responsibilities: Drive Alignment & Prioritization Filter & Route Inquiries: Establish clear operational paths for routine data requests, incident reporting, and tactical items below the executive level, freeing leadership bandwidth for major revenue initiatives. Executive Proxy & Strategic Alignment: Represent the EVP in key cross-functional leadership forums, planning reviews, and offsites, building bottoms-up consensus and alignment before issues require top-down intervention. Surface Field Signals: Synthesize customer sentiment, competitive dynamics, and field feedback directly from front-line sales teams to keep executive leadership deeply connected to market realities. Pre-Frame Executive Decisions: Ensure material revenue proposals and strategic escalations reaching the EVP are pre-framed with clear context and explicit recommendations, allowing leadership to focus on high-order strategic decisions. Operational Rhythm & Business Cadence Orchestrate Business Cadence: Maintain the global sales operational rhythm, including leadership reviews, quarterly business reviews, strategic offsites, and key team communication forums, ensuring priorities are proactively tracked and fire drills are minimized. Cross-Functional Alignment with Sales Strategy & Operations: Partner seamlessly with Sales Strategy & Operations by translating strategic outputs into operational workstreams, leadership narratives, and review frameworks. Executive Communications & Collateral: Drive end-to-end preparation of strategic collateral, executive presentations, board materials, and organizational communications in close coordination with Internal Comms partners. Track Strategic Priorities & Follow-Through Track & Report on Key Commercial Initiatives: Track high-priority commercial initiatives and global sales bets, ensuring every key initiative has a clearly defined owner, success metrics, and milestones. Accountability & Execution: Ensure regional and functional leaders leave executive reviews with clear action items and deadlines; track ongoing performance against overarching organization priorities. Cross-Functional Initiative Support: Drive alignment and operational support for complex, multi-functional sales initiatives across GTM, Product, Marketing, and SS&O. Qualifications: 10+ years of relevant experience in a Sales/revenue/business strategy & operations role within an ad sales organization Deep understanding of the rhythm of the business in a high-growth environment Exceptional problem-solving skills, with a proven ability to synthesize complex data/insights and build actionable strategies around the highest impact opportunities Outstanding communication and relationship building skills, with the ability to build trust and influence across all levels Proven track record of managing multiple priorities in a fast-paced environment Results-oriented and committed to driving measurable impact Innovative operator, accustomed to leveraging technology (i.e. AI, tooling), to scale, improve and help the team operate more effectively The Ideal Candidate: Believes in Reddit’s mission Is organized and can build their own structure Is a strong communicator Is an optimist Is humble Can effectively communicate with everyone from engineers to sales Is fact-based, and willing to be hypothesis-driven Needs limited guidance and no instruction manual Acts as a force multiplier vs. a barrier to their executive partner Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Hybrid In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York City, NY Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . As the Chief of Staff to the EVP of Global Ad Sales, you will serve as a high-leverage strategic operator, executive proxy, and force multiplier across the Global Sales Organization (GSO). Your key function is to scale executive attention, accelerate decision velocity, and translate GSO’s highest strategic priorities into clear execution and follow-through. The ideal Chief of Staff operates with high EQ to maintain Reddit’s open, collaborative, and accessible culture while ensuring that executive time is prioritized for high-impact drivers. You will partner closely with Sales Strategy & Operations, regional sales leadership, and cross-functional executive teams to orchestrate a seamless operational rhythm and drive global alignment. This role is required to be based in New York or London. Responsibilities: Drive Alignment & Prioritization Filter & Route Inquiries: Establish clear operational paths for routine data requests, incident reporting, and tactical items below the executive level, freeing leadership bandwidth for major revenue initiatives. Executive Proxy & Strategic Alignment: Represent the EVP in key cross-functional leadership forums, planning reviews, and offsites, building bottoms-up consensus and alignment before issues require top-down intervention. Surface Field Signals: Synthesize customer sentiment, competitive dynamics, and field feedback directly from front-line sales teams to keep executive leadership deeply connected to market realities. Pre-Frame Executive Decisions: Ensure material revenue proposals and strategic escalations reaching the EVP are pre-framed with clear context and explicit recommendations, allowing leadership to focus on high-order strategic decisions. Operational Rhythm & Business Cadence Orchestrate Business Cadence: Maintain the global sales operational rhythm, including leadership reviews, quarterly business reviews, strategic offsites, and key team communication forums, ensuring priorities are proactively tracked and fire drills are minimized. Cross-Functional Alignment with Sales Strategy & Operations: Partner seamlessly with Sales Strategy & Operations by translating strategic outputs into operational workstreams, leadership narratives, and review frameworks. Executive Communications & Collateral: Drive end-to-end preparation of strategic collateral, executive presentations, board materials, and organizational communications in close coordination with Internal Comms partners. Track Strategic Priorities & Follow-Through Track & Report on Key Commercial Initiatives: Track high-priority commercial initiatives and global sales bets, ensuring every key initiative has a clearly defined owner, success metrics, and milestones. Accountability & Execution: Ensure regional and functional leaders leave executive reviews with clear action items and deadlines; track ongoing performance against overarching organization priorities. Cross-Functional Initiative Support: Drive alignment and operational support for complex, multi-functional sales initiatives across GTM, Product, Marketing, and SS&O. Qualifications: 10+ years of relevant experience in a Sales/revenue/business strategy & operations role within an ad sales organization Deep understanding of the rhythm of the business in a high-growth environment Exceptional problem-solving skills, with a proven ability to synthesize complex data/insights and build actionable strategies around the highest impact opportunities Outstanding communication and relationship building skills, with the ability to build trust and influence across all levels Proven track record of managing multiple priorities in a fast-paced environment Results-oriented and committed to driving measurable impact Innovative operator, accustomed to leveraging technology (i.e. AI, tooling), to scale, improve and help the team operate more effectively The Ideal Candidate: Believes in Reddit’s mission Is organized and can build their own structure Is a strong communicator Is an optimist Is humble Can effectively communicate with everyone from engineers to sales Is fact-based, and willing to be hypothesis-driven Needs limited guidance and no instruction manual Acts as a force multiplier vs. a barrier to their executive partner Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Hybrid Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $210,800 — $295,200 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Data Products integrates GitLab and third-party SDLC data, and builds the dashboards, APIs, and data products that turn it into trusted, interoperable intelligence for customers and internal teams. This is a 0 to 1 team and we are hiring for a foundational engineering role. That means you bring technical leadership through ambiguity, helping figure out what to build, making the foundational design decisions, and keeping delivery moving while the picture is still forming. You own the full lifecycle of what ships and stand behind it. What you'll bring Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams. High agency, i.e finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands. Force multiplier and raise the people and the codebase around them Deep full-stack expertise, including strong proficiency in Go, Ruby and Node . Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration. Hands-on experience building production AI-powered tool orchestration. Experience operating multi-tenant systems across SaaS and self-managed deployment. Direct communicator who builds alignment across teams. Bias to write things down and make reasoning legible. What you'll own Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem. Lead integration with external systems for business context (Jira, observability tools, Zendesk, ServiceNow), indexed into the graph. Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery with no engineering dependencies. Publish GitLab observability as OpenTelemetry and broker the data-sharing APIs. Define operational readiness for everything the team ships across GitLab.com, Dedicated, and Self-Managed. Translate an ambiguous 0 to 1 problem space into concrete, iterable roadmaps in partnership with Product, Design, and the graph backend team. Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure without escalating everything upward. Mentor senior and intermediate engineers through design reviews, pairing, and code review. Create organizational leverage through speed. You identify systemic bottlenecks, simplify processes, and design systems that dramatically improve execution velocity. Take part in on-call or operational support where your team’s ownership model requires it. About the team Data Products work across three surfaces: Dashboard and Reporting Framework Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, VSA, AI Impact, SDLC trends, security, and quality, and launch their own custom dashboards on the same framework. Internal Ingestion Ingests third-party data into the GitLab and power tools like Knowledge Graph, building connectors so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem. External Ingestion External makes GitLab and Knowledge Graph data consumable outside the product, through marketplace listings, data-sharing APIs and SDKs, and co-branded partner products. We are a new team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team dependencies, and keep pushing until meaningful customer value lands. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Canada Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We're looking for a Staff Engineer to own the smart wallet and account abstraction layer of Xsolla's Web3 platform. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how millions of players get an on-chain account they never have to think about — setting direction, making hard architectural calls, and raising the bar across the org. Concretely, you'll own the account model behind Xsolla ZK, our zkSync-based L2, and the wallet that sits inside Xsolla App. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account — derived from their identity claim, identical on every device, with private keys that never leave the client. That account is not a separate "wallet" screen: it is the player's inventory, and it backs minting, gifting, trading on our Bazaar marketplace, Merkle-based reward airdrops, gas sponsorship, and an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. You'll own the primitives underneath all of it: the ERC-4337 user operation lifecycle, EIP-7702 delegation, session keys and origin-bound Smart Sessions, paymaster and gas abstraction strategy, and the custody and recovery roadmap — including the move from raw key export to MPC custody. You will own the strategy behind account abstraction, signing, and session management at scale, and evolve our smart account and permissioning model to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering, product, security, and legal stakeholders, not just designing in isolation. You are technically deep, calm under pressure, and comfortable being the escalation point when production wallet issues get hard — because in this domain, "hard" means a stuck user operation, a drained paymaster, or a signing prompt a player didn't understand. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it. Responsibilities Own Smart Wallet & AA Architecture — Own the technical strategy and architecture of our smart wallet platform, covering the account model, signing, session management, and gas abstraction at scale. Design the Account & Signing Model — Design and evolve our ERC-4337 user operation lifecycle (prepare → sign → submit → confirm), EIP-7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives that let players act without a prompt on every transaction. Own Gas Abstraction — Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable. Harden the dApp-Facing Surface — Own the security model where our signer meets third-party applications: EIP-1193 / EIP-6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow. Define what a player is actually approving, and make sure the UI can prove it. Drive Custody & Recovery — Lead the custody roadmap from today's interim mechanisms toward MPC-based custody, and design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets. Drive Cross-Team Technical Decisions — Drive decisions on account architecture, SDK contracts, data modeling, and platform reliability, and build buy-in across the wallet, marketplace, SDK, mobile, and security teams. De-Risk Proactively — Identify systemic risks — key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths — and lead initiatives to resolve them before they become incidents. Set Engineering Standards — Define engineering standards, review critical code, contracts, and designs, and create leverage for the team through documentation, tooling, and mentorship. Align with Stakeholders — Collaborate with product, security, legal, and infra teams to align on roadmap and translate business and regulatory needs into well-scoped technical plans. Own Production Escalations — Serve as the go-to escalation point for complex production issues in the wallet and account abstraction domain. What You Bring Account Abstraction & Smart Wallets ERC-4337 Depth — Deep, hands-on understanding of ERC-4337: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules (ERC-7562), gas estimation and its failure modes, counterfactual deployment, and signature validation for undeployed accounts (ERC-6492). EIP-7702 & the Post-Pectra Landscape — Working knowledge of EOA delegation, its interaction with ERC-4337 EntryPoint v0.8, and the trade-offs and risks it introduces (residual key authority, delegation phishing, storage collisions). Smart Account Implementations — Experience building on or extending production smart account implementations (Safe, Kernel, Biconomy, Coinbase Smart Wallet, or equivalent), and familiarity with modular account standards (ERC-7579 / ERC-6900). Session Keys & Delegated Permissions — Experience designing scoped, time-limited, policy-bound authority: session keys with TTL and contract allowlists, origin binding, permission revocation, and delegated-permission standards (ERC-7710 / ERC-7715). Signature Schemes & Wallet Interfaces — Practical command of EIP-712 typed data, ERC-1271 contract signatures, WebAuthn / passkey (P-256) signers, and the wallet-facing standards: EIP-1193, EIP-6963, EIP-5792 batched calls, ERC-7677 paymaster interfaces. Production Wallet Experience — Experience designing or operating a production smart wallet or account abstraction system serving real users and real value. Production Crypto Track Record Scale in a Major Crypto Organization — Substantial engineering experience at a large crypto product or protocol organization — for example Coinbase, Kraken, Base, Safe, the Ethereum Foundation, Consensys / MetaMask — or a comparable wallet, exchange, or account-abstraction infrastructure team where wallet correctness and custody were core to the product. Operational Judgment Under Value at Risk — You have shipped and operated systems where a bug meant lost funds, and you can talk concretely about the guardrails, reviews, and rollback paths you put in place. Smart Contracts & EVM Solidity & EVM Fluency — Ability to read, review, and write account, paymaster, and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors. L2 Specifics — Understanding of L2 execution differences and how they affect wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, and RPC and indexer semantics. Backend Engineering Go Engineering — Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling. TypeScript & SDK Design — Ability to design and own client-side SDK surfaces in TypeScript that other engineering teams — internal and external — build on top of. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes), and with reconciling off-chain state against an authoritative on-chain result. Data & Infrastructure PostgreSQL — Schema design, query optimization, migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Security Key Management — Hands-on experience with key material in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each. Wallet Threat Modeling — Solid grasp of the wallet attack surface: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, and paymaster griefing and DoS. Leadership Cross-Team Initiative Leadership — Proven ability to lead multi-quarter technical initiatives across teams. Architectural Influence — Track record of influencing architecture and standards beyond your immediate team. Written & Verbal Communication — You write RFCs and design docs that people actually read. Nice to Have Experience working in the video game industry, building or operating platforms for game developers, publishers, or players Hands-on experience with the zkSync / Elastic Chain ecosystem (ZKsync OS, Matter Labs stack, native AA and paymaster flows, custom L2 operations) Experience with embedded and ecosystem wallet providers or AA infrastructure vendors (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}) — and clear views on where to build versus buy Experience with MPC / threshold custody, social recovery, or guardian-based recovery in a consumer product Experience with NFT and token infrastructure at scale: ERC-721 / ERC-1155 / ERC-20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security, or identity projects — including authorship or review of ERC / EIP standards Familiarity with compliance requirements relevant to crypto consumer products: KYC / AML, geofencing, MiCA, SOC 2, ISO 27001, GDPR data minimization, audit logging Experience with identity and auth integration for wallet derivation (OAuth 2.0 / OIDC, JWT verification, token scoping) Background in platform or infrastructure engineering — building systems other engineers build on top of Experience owning a mobile wallet surface (React Native / Expo, WebView provider injection, native signing UI) Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work How We Work Xsolla operates across multiple time zones, and the smart wallet underpins identity, ownership, and value transfer for every Web3 product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room. We value directness, technical depth, and follow-through. In this domain that means saying plainly when a design has custody, security, or reversibility implications, defending your position with evidence, and staying engaged until it's resolved. Where a decision touches player funds or key material, we expect the conservative call to be argued for explicitly rather than assumed. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Location: Richmond, Canada 📍 Location: Richmond, BC, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Hybrid 🚀 Start Date: TBD 💰 Compensation: TBD — depending on skills and experience Important Screening Requirements Graduate degree in Electrical Engineering, Engineering Physics, Mathematics, Physics, or a related field , or an equivalent combination of relevant education and experience. 15+ years of experience working with radar, Synthetic Aperture Radar (SAR), or similar active imaging systems. Experience spanning hardware, processors, and/or data products within radar or SAR systems. 10+ years of experience in space systems engineering or a similarly complex systems engineering environment. Experience with SAR remote sensing , including system design, operations, applications/exploitation, and/or calibration. Experience working across engineering lifecycles for large, complex programs . Must be able to obtain and maintain Reliability Status security clearance and meet Controlled Goods Program (CGP) requirements. Strong problem-solving and analytical skills. Excellent verbal and written communication skills. Ability to communicate complex technical concepts to technical teams, executives, customers, and other stakeholders. Ability to work effectively within a large organization and navigate cross-functional dependencies. About the Role We are seeking a Staff Systems Engineer – Synthetic Aperture Radar (SAR) Missions to provide end-to-end technical oversight of SAR-related engineering activities throughout the lifecycle of complex space missions. This role will contribute to the development of advanced SAR missions that generate high-value imagery and actionable intelligence for customers. You will work across mission concept development, spacecraft and payload trade studies, SAR system design, mission-level integration and verification, commissioning, calibration, and early operations . This is a highly senior technical role requiring the ability to connect mission-level requirements with spacecraft systems, SAR payloads, processing systems, and end-user applications . What We're Looking For We’re looking for a Staff-level SAR systems engineer with extensive experience bridging SAR technology and space mission systems engineering . The ideal candidate has the technical depth to work across the SAR lifecycle—from mission concept and CONOPS through payload and spacecraft trade studies, image-quality analysis, integration, verification, commissioning, calibration, and early operations . This role requires someone who can operate comfortably at both the deep technical and mission/program levels , communicate with a broad range of stakeholders, mentor engineers, and provide technical guidance on complex SAR mission challenges. Key Responsibilities Mission Concept & Systems Engineering Provide end-to-end oversight of SAR-related engineering activities across the full lifecycle of a space SAR mission. Lead development of the Mission Concept of Operations (CONOPS) . Define high-level mission specifications based on user and customer requirements. Develop and assess spacecraft-level budgets supporting SAR payload requirements. Translate mission objectives into technical requirements and system-level solutions. SAR Mission Design & Technical Solutioning Lead technical solutioning for enhancements to existing and future SAR missions. Support and lead SAR beam-mode design . Develop and assess SAR mission concepts. Support SAR image-quality modeling and performance analysis. Evaluate technical solutions across mission, spacecraft, payload, processor, and application domains . Mission-Level Trade Studies Lead design trade studies across: Spacecraft systems Coverage and access SAR payload SAR processor End-user applications Evaluate technical, operational, and mission-level dependencies. Balance competing system requirements and performance objectives. Provide technical recommendations and guidance to program leadership. Risk Management, Integration & Verification Lead mission-level technical risk management. Oversee mission-level integration activities. Lead or support verification and validation activities. Identify technical dependencies, interfaces, and potential mission-level risks. Ensure SAR mission requirements and technical objectives are addressed throughout the engineering lifecycle. Commissioning, Calibration & Operations Provide technical leadership for SAR mission commissioning and calibration. Support early operations of space-based SAR missions. Contribute to the development and execution of mission commissioning strategies. Support resolution of technical issues during early mission operations. Apply SAR system knowledge to evaluate mission and image-quality performance. Technical Leadership Provide technical guidance to senior management and new business activities. Communicate complex SAR and space systems concepts to diverse audiences. Support customer discussions and technical presentations. Mentor and coach engineering team members. Help develop technical capabilities and domain expertise across the organization. Required Qualifications Graduate degree in Electrical Engineering, Engineering Physics, Mathematics, Physics, or a related discipline , or equivalent combination of education and relevant experience. 15+ years of experience with radar, SAR, or similar active imaging systems. Experience involving one or more of: Radar/SAR hardware SAR processors SAR data products 10+ years of experience in space systems engineering or a similarly complex systems engineering environment. Experience in SAR remote sensing , including system design, operations, applications/exploitation, and/or calibration. Experience working across engineering lifecycles for large and complex programs. Strong problem-solving and analytical capabilities. Excellent verbal and written communication skills. Ability to communicate effectively with technical teams, executives, customers, sales/business teams, and other stakeholders. Ability to work effectively within a large organization and navigate cross-functional dependencies. Ability to understand and manage diverse stakeholder needs. Ability to obtain and maintain Reliability Status security clearance . Ability to meet Controlled Goods Program (CGP) requirements. Preferred Qualifications Experience with MATLAB and/or Python . Strong understanding of satellite-based SAR payload design and operations . Experience with space mission design, including: Coverage and access Orbital dynamics Mission geometry Understanding of spacecraft design considerations, including: Thermal Power Pointing accuracy Spacecraft interfaces Strong understanding of geospatial data . Experience with SAR image-quality analysis and modeling . Experience working across SAR payload, spacecraft, processor, and end-user application interfaces . Ability to rapidly learn new technologies and domain-specific concepts.

Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Staff Infrastructure Engineer on this team will keep systems running, define what safe, observable, AI-assisted infrastructure operations look like in practice, and set the standard for how the broader engineering organization follows. _______________________________________________________________________ WHAT YOU'LL WORK ON The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like: - How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back? - How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously? - How do we build infrastructure that scales with usage-based billing workloads without manual intervention? - How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling? _______________________________________________________________________ RESPONSIBILITIES - Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability - Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team - Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability - Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation - Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written - Identify systemic risks and drive improvements that span team or organizational boundaries - Lead incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. - Mentor engineers across the team; your technical judgment should raise the floor for everyone. _______________________________________________________________________ QUALIFICATIONS - 8+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale - Deep AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents - Expert-level Terraform; you've designed reusable module patterns and set standards others follow - Experience building and owning observability stacks (Datadog, Grafana, or similar) at an organizational level — not just using them - Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience ownership - Kubernetes at an operational and architectural level - A track record of identifying systemic risks and driving improvements that span team or organizational boundaries - Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement - Strong written English; at Staff level, written communication is how you scale your influence across teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience WHAT SETS YOU APART You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected multiple teams or systems, and you know how to build consensus and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are. FIRST 90 DAYS You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and have begun shaping the team's technical direction. ONE YEAR OUTLOOK You will be the team's trusted authority on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right, and that standard will be visible beyond this team. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Utah | Remote Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties BambooHR is on a mission to set people free to do great work. Our software powers the HR work that small and mid-sized businesses depend on every day. We're looking for software engineers who use AI to build production-quality software. As a Staff Agentic Software Engineer, you own the technical direction of a product area and the patterns multiple teams build on. You define how engineers across teams specify, delegate, and verify agentic work, and you set the standards that keep that work safe at scale. AI tools and capabilities change rapidly. To stay resilient through change, you prioritize curiosity and continual learning, and you actively apply new best practices. You are accountable for the technical direction of your product area: the reusable patterns teams adopt, the verification practice that keeps agent-produced work safe, and the leverage that direction creates across teams. What You'll Do Your work runs through four loops, each building on the last: specifying intent, delegating execution to agents, verifying and integrating their output, and codifying best practices and processes to compound value. Own the technical direction of a product area, setting how multiple teams specify, delegate, and verify agentic work. Define the standard for specification quality across teams: what a complete specification contains and what review gates enforce it. Establish the framework for when work warrants agentic execution and when it needs direct implementation, building heuristics that raise the floor for every team. Drive large-scale efforts by coordinating human and agentic contributors across multiple teams to deliver more than any one team could. Set the verification practice that keeps agent-produced work safe at scale, calibrated to risk and blast radius. Set the security architecture for agentic work across the product area, partnering with security to implement it: the data-flow boundaries, access controls, and threat models agents operate within. Establish the readiness criteria a product area must meet before agentic work is safe to delegate: the context, guardrails, and observability that must be in place. Build the scaffolding that teams delegate through: prompts, agent instructions, repo conventions, test harnesses, and playbooks. Resolve the highest-risk technical decisions across the product area, where the stakes or the blast radius are greatest. Partner with product leadership to shape what gets built across the product area, bringing engineering judgment into roadmap direction. Raise the agentic craft of engineers across teams, mentoring on how they specify, delegate, and verify. What You'll Need to get the Job done You will need depth in these areas to set technical direction, standardize practice across teams, and raise the engineers who deliver. 8+ years of software engineering experience, with a record of building and shipping customer-facing software in production and ownership of technical direction across a product area. Track record of setting agent patterns and AI-powered solutions that multiple teams reuse. Depth in designing systems, data models, and architecture that teams build on, including performance and data-flow tradeoffs. Demonstrated ability to define specification standards across teams: what complete looks like and how review gates enforce it. Command of context engineering: setting how repo and task context is structured so agents execute reliably across teams. Proven ability to design agent workflows for parallel execution across teams, with human checkpoints throughout. Confidence reading unfamiliar code and running root-cause analysis to debug it. Track record of setting the security and privacy review bar: injection, data-handling, and unsafe generated output. Fluency setting test design and evaluation standards that teams follow. Sound judgment coordinating version control at multi-team scale: branching, reviewing, and integrating concurrent changes safely. Skill in defining safe release standards: CI/CD, feature flags, staged rollout, and rollback. Experience operating and maintaining software in production with observability, metrics, traces, and incident response. Proven ability to mentor engineers across teams and shape technical direction beyond a single team. Strong written and verbal communication, including synthesizing technical strategy and tradeoffs for leadership and across teams. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance. As a member of the Mechanical Engineering NPI team, you’ll help shape the future of wearable technology by developing innovative, high-performance products that integrate seamlessly into users’ lives. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. We expect engineers to go deep technically, collaborate relentlessly, and take pride in execution. The pace is fast, expectations are high, and the work is deeply meaningful. This isn’t a role where you follow a blueprint. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. WHOOP is looking for a Staff Mechanical Engineer to lead critical design, validation, and development execution for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Complete technical ownership (at system level) of a next generation product from design concept to manufacturing release, ensuring performance, reliability, cost, and schedule targets are met. - Lead mechanical design, analysis and development of mechanical components around micro-electronics, exact industrial design specifications, product requirements, and manufacturing constraints. - Create parametric multi-body SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate and collaborate effectively across functional teams and external suppliers to align requirements, drive decisions, and resolve issues quickly - Drive organized, end-to-end DFM coordination across multiple vendors and manufacturing methods, aligning requirements, timelines, and technical decisions to deliver scalable, high-yield production. - Design testing protocols and validation plans, manage testing processes to ensure comprehensive verification and validation (V&V) of mechanical designs. - Perform thorough engineering root cause analyses to identify and resolve issues - Mentor younger engineers by example through excellence in engineering best practices - Willingness to travel internationally up to 20% of the time QUALIFICATIONS: - BS or MS in Mechanical Engineering or a related field - 10+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics - 5+ years SolidWorks (or equivalent) CAD experience with best practices for part design/ feature architecture, surface modeling, advanced assemblies, complex configuration management and integrating DFx feedback efficiently - 5+ years working with Tier 1 and 2 contract manufacturers in Asia and North America - Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly - Played a key role in the launch of 3+ products, thorough understanding of full product development process, experience guiding suppliers, product lifecycle management - Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection - Knowledge of Six Sigma statistical methods and how to apply them effectively to make design decisions. Ability to utilize statistical methods such as RSS tolerance stack up analysis and CPK process capability. - Strong organization and communication skills and the ability to work well within teams in a fast-paced environment - Ability to effectively communicate technical concepts and proposals to leadership upwards (internally), and externally to suppliers and contract manufacturers. - Highly organized and methodical; able to create structure, plans, and risk mitigation for open-ended problems and drive them to closure. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $175,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Lanham, MD Position Objective: Contributes to the provision of high-quality, cost-effective healthcare as a provider of direct and indirect patient care and by effective of the health care team. Functions as a competent member of the health care team. 1. Clinical Decision Making/Judgment Demonstrates clinical nursing knowledge and skill in the specialization of the unit. Demonstrates the ability to apply the nursing process effectively in the care of culturally diverse patients and families. Demonstrates the ability to utilize all applicable laws, policies, standards, guidelines and evidence-based practice in the provision of patient/family care. Organizes and reprioritizes patient care activities based on subtle and overt and/or environmental changes. Consistently and thoroughly assesses patients to collect data and identify learning needs according to established standards and policies. Utilizes a systematic, continuous and complete analysis of assessment data to develop individualized problem lists for assigned patients. Develops and individualizes a plan of care for each patient in accordance with established standards, appropriate prioritization of problems/needs, and mutually agreed upon goals. Efficiently implements the patients plan of care in accordance with applicable standards, policies, procedures and guidelines. Demonstrates proficiency in medication administration, pain management and other unit or initiative specific skills. Continuously evaluates the effectiveness of the plan(s) of care, making revisions and recommendations based on analysis of patient responses to interventions. 2. Nurse-Patient Family Relationships Demonstrates the ability to assess the patients/familys learning needs, readiness to learn, learning style, and presence of barriers to learning. Demonstrates the ability to develop, implement and evaluate teaching plans for patient populations in unit specialty in accordance with applicable standards. Demonstrates the ability to apply knowledge of growth and development across the life span to the care of patients. Provides direct patient care to patients and families in a culturally, developmentally and ethically appropriate manner. Plans of care address the physical, psychosocial, spiritual and learning needs of the patient/family. 3. Clinical Scholarship Participates in QI, CPI and risk management activities at the unit, department or organizational level. Demonstrates the ability to effectively perform and improve all processes in order to achieve excellence with regard to Luminis Healths quality standards and benchmarks. Supports the use of evidence based guidelines and organizational policies and procedures to promote safe patient care and a safe practice environment. 4. Clinical Leadership Participates in unit shared governance according to departmental standards. Participates in the education and orientation of new staff. Delegates patient care activities as appropriate; evaluates delegated activities for expected patient care outcomes. Employs real time computer documentation when completing patient record. Educational/Experience Requirements: Graduate of an accredited school of nursing Adherence to the credentialing requirements of Luminis Health as stated in the nursing bylaws. Where applicable, completion of a BSN is required within 5 years of date of hire Required License/Certifications: Current licensure as a registered nurse by the Maryland Board of Nursing BLS - American Heart Association Health Provider If serving as a bilingual/multilingual interpreter, certification in Medical Interpretation is required to perform the duties of a qualified interpreter. Additional requirements by department: PALS Requirement: The following department(s) require PALS: Pediatrics Unit, Postanesthesia Care Unit, Endoscopy, Procedural Care Unit, Interventional Radiology. ACLS Requirement: The following department(s) require ACLS: Heart and Vascular Unit, Neuro Care Unit, ICU/IMU, Interventional Radiology, Postanesthesia Care Unit, Progressive Care Unit, Resource Nurses, Emergency Department, Prep, Telemetry, Outpatient Infusion, DRCC Bowie, Observation Unit, Endoscopy, Procedural Care Unit, Cardiac Cath Lab, Flex Nursing Unit, Operating Room (LHDCMC only), Cardiac Cath Lab, Observation Unit, DCMC IP Mental Health, and Edwards Pre-Op and PACU. New Grad and New to Specialty RN’s in ICU must get their ACLS within 6 months Chemotherapy/Immunotherapy Certification requirement: Certification within 6 months of hire if experienced or within 1 year for new graduate nurse The following department(s) require a Chemotherapy/Immunotherapy Certification: Oncology Unit NRP - Neonatal Resuscitation requirement: The following department(s) require NRP - Neonatal Resuscitation: Mother and Baby Unit, Neonatal Intensive Care Unit, Labor and Delivery Unit, and Women's Surgical Unit. BLS requirement: The following department(s) require BLS: Employee Health, Performance Improvement, Special Pathogens Unit, Neuro Care Unit, Pre-Anes Testing, Wound Care Center, Medical Staff Office, Nursing Administration, Nursing Graduate Program, Women's Surgical Unit, Joint and Spine Unit, 4 Medical, IV Therapy, Nursing Quality and Research, HSCRC Nursing Grant, Flex Nursing Unit, ICU, Operating Room, Short Stay Unit, Postanesthesia Care Unit, Progressive Care Unit, 4TH FLOOR, DCH 3 East Med Surg Telemetry, 3 West Oncology, Emergency Room, Oncology Unit, ACE Unit and 2 EAST OBS, Vascular Access Team. Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $34 — $54 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Security Engineering team, you will be a founding member of the team and define and drive the technical strategy for identity and access at Harvey — both how customers authenticate to Harvey, as well as how internal employees, contractors, and non-human identities access company systems, what they are authorized to do, and how seamlessly access adapts as needs change. Challenges ahead include exploring how AI-powered access management can understand employee needs, recommend appropriate permissions, streamline decisions, and adapt access as roles and responsibilities evolve, as well as shaping an end user/agent authentication experience that makes signing in to Harvey fast, consistent, reliable, and secure across every surface where our customers work. You will operate at the boundary of security, infrastructure, and product engineering — turning ambitious business and technical requirements into durable identity platforms, clear architectural direction, and exceptional user experiences. This role is hands-on, but its primary leverage comes through technical direction, platform adoption, cross-functional alignment, and enabling other engineers to build on strong identity foundations. WHAT YOU'LL DO - Define Harvey's multi-year technical strategy for identity, authentication, authorization, and privileged access. - Design and build complex identity systems from greenfield — writing the code, instrumenting it, and owning it in production. - Lead the architecture and execution of cross-functional initiatives to right-size access at scale, spanning identity and authentication, permissions and authorization, entitlement modeling, and access controls. - Extend the identity model to non-human and agentic identities, so that AI agents acting on behalf of users are authenticated, scoped, and auditable. - Serve as the technical authority for identity and access architecture and guide major design reviews, investment decisions, and long-term roadmaps. WHAT YOU HAVE - 10+ years experience building and operating production software, with demonstrated impact across multiple teams or technical domains. - Deep expertise in several identity and access engineering domains — authentication, federation, authorization, entitlement modeling, or privileged access. - Fluency with AI: you use AI-assisted development tools effectively while applying strong engineering judgment, and you design agentic workflows that automate repetitive toil and improve how teams operate. - Experience designing identity or authorization platforms, libraries, or abstractions used by other engineering teams. - Experience delivering foundational systems that achieve meaningful adoption and improve organizational or customer outcomes. - Experience with cloud infrastructure, such as Azure, Google Cloud Platform, or Amazon Web Services, and modern distributed-system patterns. - Strong communication skills and the ability to create alignment across technical and non-technical stakeholders. NICE TO HAVE - Experience with System for Cross-domain Identity Management (SCIM), OpenID Connect (OIDC), Security Assertion Markup Language (SAML), policy engines such as Open Policy Agent (OPA) or Cedar, Zanzibar-style authorization systems, or hardware-backed credentials. - Experience with identity governance and administration (IGA) or privileged access management (PAM) platforms, and with automating joiner, mover, and leaver workflows. - Experience building identity platforms or programs at a hyper-growth startup. - Experience with regulated environments such as FedRAMP, including phishing-resistant authentication and authenticator assurance requirements. COMPENSATION $231,000 - $340,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the US or Canada. About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem. Responsibilities Design and build systems that improve the efficiency of ML training and inference workloads. Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance. Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization. Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements. Build benchmarking frameworks and performance dashboards for training and serving systems. Optimize distributed training infrastructure, data pipelines, and model serving architectures. Lead cross-functional initiatives that improve the productivity of Reddit ML engineers. Drive technical strategy for ML platform scalability, reliability, and cost efficiency. Qualifications Required BS, MS, or PhD in Computer Science or a related field. 5+ years of software engineering experience. Strong proficiency in Python Profiency in at least one systems language (Go, C++, Rust, or Java) preferred Experience building distributed systems at scale. Experience with machine learning infrastructure, training systems, or model serving platforms. Deep understanding of performance engineering and systems optimization. Strong debugging and profiling skills. Preferred Experience with large-scale recommendation, ranking, generative AI, or foundation model systems. Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark Familiarity with GPU architectures and performance analysis tools. Experience optimizing cloud infrastructure costs across large ML workloads. Contributions to internal platforms used by multiple ML teams. Experience with building real time ML inference applications What Success Looks Like ML engineers can move from idea to experiment faster. Training and inference costs decrease, performance increases, while model quality is maintained or improved. GPU utilization and cluster efficiency increase. Platform reliability improves as ML workloads scale. Teams spend less time managing infrastructure and more time building models. Average recommendation model size increases. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product Team The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision. As a Staff Product Manager on Affirm’s Credit & Pricing team, you’ll shape how consumers discover, understand, and use available credit. You’ll own the strategy for credit experiences spanning shopping, repayment, and marketing, turning complex credit capabilities into intuitive products that build trust and drive activation, conversion, and repeat engagement. What You'll Do Set the product direction. Define a cohesive vision for consumer credit experiences, identify the most valuable problems to solve, and translate your strategy into priorities across multiple teams. Build experiences that make credit understandable. Help consumers explore potential financing options before checkout, discover where they have purchasing power, and understand when credit becomes available again after repayment. Create more relevant consumer journeys. Develop personalized experiences for new and returning consumers, using research and experimentation to determine what information, guidance, and next steps best meet their needs. Connect platform capabilities to consumer outcomes. Own merchant prequalification and purchasing power experiences, partnering with core purchasing power and credit decisioning teams to translate underlying capabilities into clear, consistent experiences. Lead consequential product decisions. Bring Engineering, Design, Analytics, Credit, Marketing, Commercial, and Legal partners together to resolve tradeoffs across consumer needs, growth, risk, and partner commitments. Influence senior leaders through clear recommendations and sound judgment. Own measurable results. Define success, lead discovery and experimentation, and use funnel analysis and consumer feedback to improve activation, purchase conversion, repeat engagement, and comprehension while supporting responsible access to credit. What We Look For A record of building impactful consumer products. 7+ years of product management experience, with demonstrated success taking products from discovery through launch and scaling adoption in fintech, e-commerce, marketplaces, or similarly complex environments. Leadership across teams. Experience independently setting direction for a substantial product area, influencing senior stakeholders, and aligning multiple teams around priorities and measurable outcomes. Strong consumer product judgment. An ability to translate complex systems into intuitive experiences, with a high bar for interaction design, clear communication, and consumer trust. Strategic and technical depth. You connect long-term opportunities to practical product and platform decisions, and work effectively with engineers on capabilities that serve multiple experiences. Analytical and experimental rigor. You combine customer research, behavioral data, and well-designed experiments to prioritize opportunities, evaluate tradeoffs, and decide what to scale, change, or stop. Ownership in ambiguity. You bring structure to open-ended problems, make sound decisions with incomplete information, and communicate the rationale, risks, and support needed to move forward. Relevant domain curiosity. Experience with credit, lending, personalization, or AI-powered consumer experiences is a plus. You can learn complex domains quickly and distinguish useful innovation from technology without a clear customer need. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $181,000 - $241,000 This posting is for an existing vacancy. Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.