AI Product & Operation Jobs

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The Opportunity We are seeking an experienced Cloud Security Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the security of our cloud infrastructure and applications. This includes ensuring compliance with regulatory requirements, identifying and mitigating security risks, and collaborating with DevOps teams to ensure secure cloud deployments.  Your Impact Design and implement secure cloud architectures and configurations Conduct cloud security assessments and risk analyses Implement and manage cloud security controls, such as firewalls, access controls, and encryption technologies Monitor cloud security logs and investigate security alerts Respond to security incidents and develop incident response plans Ensure cloud compliance with regulatory requirements, such as HIPAA, PCI-DSS, and GDPR Collaborate with DevOps teams to ensure secure cloud deployments Develop and deliver security awareness training programs Stay up-to-date with emerging cloud security threats and technologies We're looking for someone who 4+ years of experience in cloud security engineering Strong knowledge of cloud security architectures, controls, and compliance requirements Expertise in the security of public cloud platforms (e.g. AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems. Understand container security, network security, and cloud security services Experience building cloud security infrastructure (e.g. logging, monitoring vuln management, DLP)   Strong understanding of security frameworks, such as NIST and ISO 27001 Excellent problem-solving and analytical skills Strong communication and collaboration skills Bachelor's degree in Computer Science, Cybersecurity, or related field About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $210,000 USD per year This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and post‑training systems for frontier LLMs and multimodal models. You’ll own continuous, high-quality evals and benchmarks (reasoning, code, agent/tool‑use, long‑context, vision‑language, et al.), create and curate post‑training datasets (human + synthetic), and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to measure and improve real‑world task and agent performance. Your Impact Build and own evaluation and benchmark suites for reasoning, code, agents, long‑context, and V/LLMs. Create post‑training datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals. Experiment and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to improve real-world task and agent performance. Land research in product: ship improvements into Labelbox workflows, services, and customer‑facing evaluation/quality features; quantify impact with customer and internal metrics. Engage with customer research teams: run pilots, co‑design benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers. What You Bring A strong foundation in AI and machine learning, backed by a Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions). A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them. Passion and experience for LLM evaluation and benchmarking. Expertise in training data quality construction, measurement and refinement. The ability to bridge research and application by interpreting new findings and translating them into functional prototypes. A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community. Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow. Exceptional communication and collaboration skills. Applied Research at Labelbox At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advancing human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$35—$45 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We’re hiring Helix Operators to support our humanoid robot development efforts. This role begins as a hands-on, full-time one-month contract as a Data Collector, where you’ll wear sensors provided by Figure to guide and collect motion data that trains our robots. It’s a great opportunity for anyone excited to get into robotics and grow from within. Depending on your performance, skills, and interests, you may grow into longer-term roles like Robot Operator, Pilot Support, or even a full Humanoid Pilot role. Shift: 8:30 AM – 5:00 PM (Monday to Friday)   Responsibilities:  Wear sensor equipment to guide the robot through human-like motions Collect high-quality motion data used to train AI models Flag any issues or bugs during collection and share daily feedback with the team Follow proper equipment and robot maintenance procedures, including setup and shutdown Maintain a safe and organized workspace during all operations Requirements:  Excellent physical coordination, spatial awareness, and focus Stay on your feet for 8+ hours a day and be engaged for extended periods during data collection Master new physical tasks quickly and find the optimal way to perform them Embrace constructive feedback and strive for constant improvement Thrive in a fast paced environment Bonus Qualifications: Experience working with robots or troubleshooting mechanical systems A passion for helping scale the deployment of learning humanoid robots This is a one-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us. The US base salary range for this full-time position starts at $30/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role The Advanced Technologies Group (ATG) at Metropolis is looking for a Principal Software Engineer to lead advancements in our Edge platform as we expand the Metropolis mission to new areas beyond parking.  ATG is developing and deploying a broad suite of technologies that enable “AI for the Real World” including cameras, edge compute, sensors, displays, and robotics.  The Edge platform is our mission critical backend system that consumes and organizes event data from those field deployed hardware and ML systems, integrating real-time hardware events and machine learning outputs into a core mobility identification platform that powers our business applications. In this role, you will guide software development of the Edge platform as we expand into new business verticals, and add both new capabilities and new devices into the ecosystem.  As a senior member of the ATG team, you will work with leadership to craft a technical vision and strategy for ATG that propels our entire suite of core technologies into the next phase of growth. This role will provide significant thought leadership, shape a strong engineering-led culture, and play a critical role in the company’s success by creating foundational capabilities on which Metropolis builds remarkable experiences. The ideal candidate will have an end-to-end systems engineering mindset, looking for opportunities well beyond just the software of our Edge platform and into hardware, edge device software and machine learning systems.  We are looking for a big thinker who can connect the dots between disparate technologies and systems to move Metropolis forward through ambiguity, but also who has the practical experience to drive improvements to our existing production systems. If you are energized by working across multiple teams and technologies together to solve real world problems at scale, and have a background with distributed hardware / ML / Software systems, this role is for you!   Responsibilities  Define technical direction for ATG software that organizes the teams to support existing edge systems, develops new capabilities, and creates a strategy for the future Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem.   Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels   Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline 14+ years of experience with at least 4+ years of experience as a hands-on senior, staff or principal engineer Proven track record of designing and delivering large-scale distributed systems and software products in high volume, mission critical applications Experience developing technical strategy, getting buy-in from business and technology stakeholders, and guiding team(s) through execution Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes. Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems  Strong fundamental computer science skills, and expert level knowledge of Scala, Java or other languages that run on the JVM. Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products. Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $245,000.00 to $290,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Why voize? Because we’re more than just a job!At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.voize is YCombinator-funded, already in use at over 1000 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually - time spent on people instead of paperwork.But this is just the beginning. With our self-developed voize AI, we’re transforming not only the healthcare industry, but also have the potential to create value in many other sectors – from healthcare to inspections.As a dynamic team, we blend cutting-edge technology with social impact. And now, we are looking for You to join us!💡 Your Mission: Delight customers, optimise processes!As a Solutions Engineer at voize, you own the full technical journey of our customers - from the first presales check to ongoing operations. You’re the primary technical point of contact, bridging voize and customer IT. By validating infrastructure, configuring secure setups, solving technical issues, and scaling deployments, you ensure a smooth experience and long-term success.🚀 Your Daily Business – No two days are alikeSupport pre-sales calls to assess infrastructure, spot blockers, and guide evaluationsMultiple years of experience as a Linux or Windows Administrator.Troubleshoot issues across systems, networks, browsers, and interfaces with clarity and empathySupport technical scaling (e.g., growing user bases, infra changes)Document setups and technical handoffs for smooth internal collaborationFlag recurring issues and contribute to internal tools, docs, or processes🤝 Your Skillset – What you bring to the tableExpert Windows/Linux system administration and network configuration skills (firewalls, proxies, routing, MDMs, APIs)Solid experience with virtualisation, Docker, web servers (Nginx, IIS), and load balancingStrong troubleshooting skills across APIs, browsers, infrastructure, and devicesClear communicator with empathy for both technical and non-technical usersProactive, self-directed, and skilled in documentation and technical handoffsExperience with start-ups will help you thrive in this role 🎯 Our Success Mindset – How we work at voizeYou’re confident in German and English to support customers and work closely with the team - we’ll support you with language courses if needed.You’re resilient - you see challenges as opportunities, not obstaclesYou work iteratively - test, learn, and improve instead of aiming for perfectionYou value open feedback and contribute to a positive, transparent team culture🌱 Growing together – what you can expect at voizeBecome a co-creator of our success with stock optionsOur office is in Berlin, with a flexible remote work culture, and we are pet-friendly!Flexible working hours because you know when you work best!Access to various learning platforms (e.g., Blinkist, Audible, etc.)Open culture with regular work weeks and team events to collaborate and bond.Rapid personal growth in a fast-growing startup.Your work will make a real impact, helping alleviate the workload for healthcare professionalsFree Germany Transport Ticket and Urban Sports Club membership30 days of vacation – plus your birthday off✨ Ready to talk? Apply now! 🚀We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We are looking for a dynamic clinical project manager who will report to the Head of Clinical Operations to drive our clinical study roadmaps by partnering with internal and external stakeholders. Scientific and project management skills will be key to success in driving the necessary studies for pre- and post-market assessment of our products, as well as clinical trial services.  What You'll Do Responsible for, and must have a demonstrated ability to successfully develop, implement, manage, and complete clinical trials operationally within designated programs and timelines. Lead the development and communication of presentations to keep internal and external teams informed  of progress, timelines, and risks- ensuring alignment and successful completion of projects. Generate high quality trial documentation that accurately captures trial activities and workflows, with high attention to detail. Manage day to day monitoring of study activities and proactively address any issues that may arise. Partner with cross functional internal teams (Engineering, Clinical Science, BioPharma Laboratory, etc.) and external stakeholders to manage, adjust, and revise project timelines/budgets as necessary. Must be able to resolve problems using FDA and other regulations, adherence to GCP requirements, and through regular site interactions. Demonstrate excellent interpersonal skills, ability to bring teams together to successfully plan and execute PathAI clinical trials, and ability to prioritize with multiple competing priorities. Manage external vendors, as needed. What You Bring 3+ years of project management experience in medical device and/or drug development clinical trials and a BS or BA in a relevant scientific discipline, or 1-2+ years of experience with an M.S. or PhD in a relevant scientific discipline. Robust understanding of clinical trial regulations, GCP and GCLP. Experience in digital pathology, radiology or other imaging technology-based clinical trials is highly preferred. Good organizational skills, attentive to details, and able to multitask. Project Management Certification is a plus. Strong understanding of laboratory practices, histology, and pathology preferred. Experience in MASH, IBD, and Oncology preferred. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange. Job Title: RTB Advertising Optimization & GTM PM Location: Preferred: Tokyo Japan (or available to travel to Japan frequently) About the Role: We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists, campaign managers, and Japan-based business teams to improve RTB (Real-Time Bidding) campaign performance through model enhancements, market insights, and cross-functional collaboration. You will also support local business development and sales teams in identifying key market challenges and shaping the go-to-market strategy. This role offers the opportunity to work with large-scale A/B experiments across billions of ad requests daily and to directly influence product optimization efforts in the Japan market. Key Responsibilities: Partner with data scientists and campaign managers to improve RTB model and algorithm performance. Collaborate closely with Japan-based Sales teams to identify business challenges, define product solutions, and support go-to-market strategies. Analyze competitor strategies and market trends to uncover optimization opportunities. Drive data-informed decision-making to improve campaign outcomes. Design and evaluate A/B experiments at scale using billions of daily auction requests. Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement. Explore and evaluate potential new signals to enhance model effectiveness. Work with the SSP partnership team to optimize traffic quality and supply-side performance. Coordinate cross-functional requirements with strong communication and alignment across regional and global teams. Language Skills: Proficient in Japanese ///  Business-level English or Mandarin is a plus. Able to clearly communicate ideas and technical findings across both local and global stakeholders. Bonus: Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus. Experience working directly with Japanese clients or stakeholders is a strong advantage.  

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. We are looking for a user-centric Product Designer who has hands-on experience building complex but intuitive digital products. As a Product Designer at Abridge, you would work with our team of product managers, engineers, researchers, and creatives to craft high-quality products that continue to transform care delivery experiences. You will work with complex and regulated workflows, which include establishing design standards, systems, and processes for our AI-powered healthcare product. What You'll Do:As our Product Designer, you’ll shape the product experience at Abridge, setting a high bar for taste, clarity, and strategic thinking across initiatives that directly impact clinicians, patients, and care teams.You’ll collaborate deeply with cross-functional partners, immerse yourself in the complexity of clinical workflows, and bring structure and empathy to ambiguous problems. Whether you’re prototyping new ideas or refining existing features, you’ll advocate for design excellence at every stage of the product lifecycle.Simplify the Complex: Tackle our most challenging and ambiguous design problems, transforming complex clinical workflows and AI capabilities into intuitive and delightful user experiences.Elevate Our Craft: Push the boundaries of visual and interaction design. You have an extremely strong command of design principles, motion, and prototyping, ensuring every pixel and interaction is meticulously considered and executed to perfection.Lead End-to-End Design Execution: Design for today’s needs and tomorrow’s challenges, translating early ideas into concrete, high-fidelity designs, prototypes, and user flows. No task is too small or too large when it comes to building exceptional products.Champion User-Centered Design: Advocate passionately for our users—clinicians who rely on our product daily. Engage in user research, synthesize insights, and ensure that every design decision is rooted in a deep understanding of their needs and pain points.What You'll Bring:5-10+ years of experience shipping impactful product design in complex domains. Bonus points for AI experience.A proven track record of leading significant design initiatives from concept to launch, demonstrating measurable impact on user experience and business outcomes.A high craft bar that you consistently meet and exceed. You sweat the details and inspire others to do the same.Exceptional communication, presentation, and storytelling skills that enable you to articulate design rationale and influence stakeholders at all levels.A highly collaborative spirit and a low ego, with a genuine desire to learn, teach, and grow with a fast-paced, high-performing team.Ideally, you’d have experience with:AI/ML productsConsumer mobileEnterprise product experienceThis is a hybrid role requiring a minimum of 3 days per week in our San Francisco office, with flexibility for remote work on other days. Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About the team: Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: Building custom AI applications for government  Providing high-quality training data for research institutions building LLMs from scratch Partnerships, upskilling, and advisory About the role: As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications  to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively,  interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more. You and your team will work closely with the business development and go-to-market team, the product  and engineering execution teams, and various customers and prospects to ensure success.  The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions. The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses.  In the near term, the team will be based out of the Middle East and looking to meaningfully grow its presence in the region. You will: Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities Partner with clients to understand their most pressing problems and brainstorm how Scale can best help Manage the long-term health of clients by identifying and preempting areas of risk or concern Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly Collaborate with the operational and engineering execution teams to track delivery and timelines Review, track and improve operational performances and be obsessed with continuous improvement Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing Have proficiency in reading, writing, and speaking in Arabic  Ideally you'd have: 4+ years of total work experience, with experience in consulting or as a technical program management role in industry  Experience at a Big 3 Consulting Firm or a leading tech company A proven track record in B2B client facing roles and expanding client relationships Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI. If you see possibilities where others see limits, read on.About the RoleYou’ll be one of the very first engineers shaping our core product and reimagining how people integrate AI companions into their day-to-day workflows. Expect to:Think from zero. Whiteboard the concept in the morning and demo it by evening.Own the stack. Backend, frontend, model orchestration, observability—whatever removes friction between idea and shipped product.Bridge research and delight. Sit beside scientists, translate breakthroughs into polished consumer experiences, and push them to production in days, not quarters.Define the bar. Establish the engineering, design, and reliability standards that every future hire will follfow.Move markets. Your features won’t live in a sandbox—they’ll redefine how everyday people trust and collaborate with AI.You’ll be leading initiatives from conceptual design to production deployment, iterating quickly and putting real user feedback at the heart of product decisions. Key ResponsibilitiesCraft end-to-end experiences: Design, code, and ship full-stack features—Python, TypeScript, Postgres, GPU infra—whatever it takes. Design the MCP schema: Create flexible, extensible JSON-based models that represent property context, room types, policies, branding, and more. Integrate core booking systems: Build robust connectors to PMS, CRM, messaging platforms, and booking enginesBuild internal and partner-facing APIs: Develop secure, scalable APIs that ingest, structure, and serve hotel context to downstream AI agents. Engineer for trust: Single-digit-ms paths, sandboxed execution, telemetry everywhere—four nines or it’s broken. Invent agentic primitives: APIs, eval harnesses, and safety guardrails that let wild research ship to millions. Listen, iterate, delight: Sit with users, absorb the pain, and turn feedback into joy—fast. What You BringMust HavesMore than 5 yrs years of professional software engineering experienceStrong backend fundamentals: REST API architecture, distributed systems, cloud deploymentProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Py C. B thon)Some experience with relational databases like Postgres/MySQLDeep experience integrating 3rd-party APIs and building data abstraction layers (bonus: hotel/hospitality tech exposure)Working knowledge of LLM pipelines, embeddings, and context windows (LangChain, OpenAI Assistants API, etc.)Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.Nice to HavesFamiliarity with travel tech (e.g. Mews, SynXis, Oracle Opera, Cloudbeds)Experience designing or managing structured knowledge graphs or JSON schemasExperience with LLMs, prompt engineering, or function callingFormer founder, or early engineer at a startup who has built a product from scratch is a plusInterest in AI/ML (direct experience not required)

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. As a new graduate joining us in 2026, you'll be part of a high-growth environment where you'll learn to build scalable systems while leveraging AI tools to accelerate your development and problem-solving. Our ideal candidate is a smart, high-potential recent grad who is AI native, comfortable integrating AI into their workflow to ship code efficiently and reliably. Read more about AI native engineering teams here.What You'll DoContribute to building scalable backend systems to handle high-throughput financial transactions in a fast-paced FinTech startup.Collaborate on designing and implementing features, incorporating AI tools to automate testing and speed up development cycles.Help ensure system reliability through monitoring, debugging, and scaling efforts to support a growing user base.Work closely with the team to solve real-world problems, learning best practices in software engineering along the way.What You'll NeedA strong foundation in computer science fundamentals, such as data structures, algorithms, and software design, ideally demonstrated through academic projects, internships, or personal initiatives.Enthusiasm for backend development and an eagerness to learn modern tools and practices in a regulated environment.Familiarity with or interest in using AI tools to enhance coding efficiency and innovation.Excellent problem-solving skills, a growth mindset, and the ability to collaborate in a supportive, low-churn team focused on excellence.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesOwn the customer relationship post-sale, serving as the primary technical advisor and strategic partner for enterprise accountsBuild and deploy AI-powered growth workflows in AirOps to solve high-impact customer problems and accelerate time-to-valueDevelop and scale our enterprise delivery playbook, balancing hands-on execution with systems-level thinkingPartner cross-functionally with Product, Engineering, Growth, and CX to validate new use cases, influence roadmap priorities, and help customers unlock new valueDrive adoption and usage expansion by identifying whitespace opportunities and aligning AI workflows to business goalsLeverage the AirOps platform internally to improve service delivery and demonstrate the art of the possible for customersMonitor success metrics, analyze usage trends, and present insights and recommendations to internal stakeholders and executive sponsorsLead enablement efforts, including onboarding, technical documentation, and training tailored to enterprise usersContribute feedback to product and design teams to improve usability, performance, and customer satisfactionExperience2 to 6 years experience in Growth, BizOps, Product, Technical Account Mgmt, Analytics, Solution Engineering, or similar role at a high-growth startup or B2B SaaS company; we 💚 former (or future aspiring) foundersExperience supporting large enterprise customers with complex, multi-stakeholder environmentsHands-on experience with LLMs, AI/ML technologies, or workflow automation platforms (e.g., Zapier, Make, Retool)Strong builder mindset with the ability to prototype and iterate in AirOps or similar platformsFamiliarity with prompt engineering, retrieval techniques, and integrating AI into customer workflowsComfortable working in startup environments where ambiguity is the norm and roles evolve rapidlyExcellent communication and project management skills; able to translate between technical and business stakeholdersBonus: working knowledge of Python, JavaScript, or other scripting languagesBonus: experience with SEO and Content MarketingOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.OverviewHippocratic AI is seeking a PM to lead the development of our model evaluation and data generation platform. In this role, you’ll drive the creation of high-quality training and test datasets that inform our model’s roadmap and ensure safety in healthcare deployments.ResponsibilitiesDefine the strategy and architecture for model evaluation across agent behaviors.Collaborate with data scientists, ML engineers, and clinicians to craft robust benchmarks.Design and manage internal and external workflows for data labeling and generation.Monitor data quality and iterate on tooling and process efficiency.Work closely with the model training team to align data feedback loops with product performance.Qualifications3+ years in product management with experience in ML evaluation, labeling, or data pipelines.Familiarity with language model datasets, especially in high-stakes or regulated settings.Experience collaborating with labeling vendors, data QA teams, or managing Mechanical Turk-style pipelines.Attention to detail in process design and tooling for human-in-the-loop systems.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking For: At Distyl we’re bringing AI to the F500 and deliver novel and delightful user experiences. We’re looking for experienced Front End Engineers who are excited to define the future of work with a focus on human value. You will build the UI/UX patterns in which AI is deployed and used by the world’s most important institutions.Success at Distyl requires an obsessiveness about the user’s experience with our product and a drive to deliver great software. As an early member of our FE engineering team, your day to day will vary from writing code, collaborating with product and design on defining our products, and building core engineering infrastructure.Key Responsibilities:Building Enterprise Grade Frontend Applications: You will collaborate closely with the rest of our team to deliver high quality frontend applications.Solution Design: Collaborate closely Distyl AI Strategists to deeply understand customer’s workflows and design tailored AI solutions.End-to-End Software Ownership: Take charge of the entire software lifecycle, from service development to deploying them in customer cloud environments.Qualifications:Strong Coding Skills: Strong command of frontend development using React/TypeScript is essential. Backend experience in Python is beneficial and experience with AI/ML is helpful.User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring that solutions are not only technically sound but also closely aligned with customer needs and experiences.An Eye for Design: We often build before pixel perfect mocks are built, being able to make a reasonable design choice within the design system is key.Software Architecture: Demonstrated ability in architecting front end applications for change is critical.What We Offer:Competitive salary and benefits package, including equity options and healthcare.Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.Collaborative and supportive work environment, with a strong focus on personal and professional growth.Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.Chance to be part of a growing team that is passionate about AI and its potential to revolutionize human productivity.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

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Distyl AI develops AI-native technologies that enable humans and AI to collaboratively power operations across the Global Fortune 1000. In just 24 months, we’ve partnered with some of the world’s most iconic enterprises including F100 telecom, healthcare, manufacturing, insurance, and retail companies delivering AI deployments with $100M+ in impact.Our platform, Distillery, combined with our cross-functional teams of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work that solve high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and national research labs. We maintain a deep partnership with OpenAI and are backed by Lightspeed, Khosla, Coatue, Nat Friedman, and board members from over 20 Fortune 500 companies.What We’re Looking ForWe’re hiring Forward-Deployed AI Engineers at all levels of experience, from early-career builders to senior engineers who can lead large-scale deployments and shape our customers' technical roadmap. Regardless of seniority, every AI Engineer at Distyl is a hands-on contributor responsible for designing, implementing, and deploying production-grade AI systems using Large Language Models (LLMs).At the most senior levels, our engineers operate as the technical owners of F500 engagements, defining architecture, engaging with enterprise leaders, and leading technical teams to transform mission-critical workflows.ResponsibilitiesAll AI Engineers at Distyl are expected to:Design and Deploy LLM-Powered Systems: Build and deploy robust GenAI systems that deliver measurable business value. Includes model evaluation, prompt design, agent/agentic logic, and full-stack application development.Engage Deeply with Customers: Work directly with customer stakeholders to understand their most pressing business and technical needs, and turn those into tailored, high-impact AI solutions.Build and Improve Our Platform: Contribute to the development of Distillery, our internal LLM application platform, by developing reusable tools, infrastructure, and workflows that scale across customers.Deliver Production Quality: Ensure systems are observable, maintainable, and meet rigorous reliability, performance, and security standards.Evaluate AI Systems Scientifically: Lead evaluation efforts balancing accuracy, latency, explainability, cost, and robustness.Continuously Improve: Refine development workflows, platform architecture, and deployment practices to raise the engineering bar.At higher levels of experience, you will also:Set technical direction and architecture for multi-million-dollar customer engagements.Earn executive trust and guide enterprise engineers through rollout and long-term operations.Mentor and up-level Distyl engineers via design reviews, architectural design reviews, leading by doing, and targeted coaching.QualificationsWe believe great AI Engineers come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence. We’re excited to meet candidates with:Proficiency in Python or Typescript (experience with a diverse set of languages is a plus), with hands-on experience using LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP and Agents SDK.Experience building and deploying LLM-powered AI agents in production, including tool use, prompt orchestration, RAG, and long-horizon task execution.Deep understanding of agent design patterns, with practical experience in observability, debugging, and human-in-the-loop feedback systems.Skilled at solving complex, ambiguous problems using cutting-edge AI techniques to deliver meaningful business outcomes.Familiar with responsible AI practices (e.g., auditability, interpretability), and experienced in aligning AI systems with enterprise-grade requirements.Comfortable working across cloud environments (AWS, GCP, Azure) with modern DevOps tools (Docker, CI/CD), and collaborating closely with cross-functional teams.For senior roles: strong architectural and systems design, experience leading projects, navigating and deploying into enterprise hybrid cloud environments and mentor othersWhat We OfferCompetitive salary and meaningful equity.100% covered medical, dental, and vision for employees and dependents.401(k) with additional perks (commuter benefits, in-office lunch).Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems.Ownership of high-impact projects across top enterprises.A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence. Offices in San Francisco and New York with hybrid collaboration (3+ days/week in-office).

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As a Staff Software Engineer on the Managed AI team at Crusoe, you'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presenceWhat You’ll Be Working On:Design and Development:Lead the design and implementation of core AI services, including:Resilient fault-tolerant queues for efficient task distribution.Model catalogs for managing and versioning AI models.Scheduling mechanisms optimized for cost and performance.High-performance APIs for serving AI models to customers.Scalability and Performance:Build and scale infrastructure to handle millions of API requests per second.Optimize AI inference performance on GPU-based systems.Implement robust monitoring and alerting to ensure system health and availability.Collaboration and Innovation:Collaborate closely with product management, business strategy, and other engineering teams.Influence the long-term vision and architectural decisions of the AI platform.Contribute to open-source AI frameworks and participate in the AI community.Prototype and iterate on new features and technologies.What You’ll Bring to the Team:Strong Engineering Fundamentals:Advanced degree in Computer Science, Engineering, or a related field.Demonstrable experience in distributed systems design and implementation.Proven track record of delivering early-stage projects under tight deadlines.Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.AI/ML Expertise:Experience in Generative AI (Large Language Models, Multimodal).Familiarity with AI infrastructure, including training, inference, and ETL pipelines.Software Engineering Skills:Experience with container runtimes (e.g., Kubernetes) and microservices architectures.Experience using REST APIs and common communication protocols, such as gRPC.Demonstrated experience in the software development cycle and familiarity with CI/CD tools.Preferred Qualifications:Proficiency in Golang or Python for large-scale, production-level services.Contributions to open-source AI projects such as VLLM or similar frameworks.Performance optimizations on GPU systems and inference frameworks.Personal Attributes:Proactive and collaborative approach with the ability to work autonomously.Strong communication and interpersonal skills.Passion for building cutting-edge AI products and solving challenging technical problems.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $204,000 - $247,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:The Crusoe Cloud Managed AI team seeks an ambitious and experienced Senior Software Engineer to join their team. You'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presenceWhat You’ll Be Working On:Design and develop core infrastructure for the Managed AI platform:Lead the design and implementation of resilient fault-tolerant queues, model catalogs, and scheduling mechanisms.Build and optimize systems for high-volume AI inference, handling millions of API requests per second.Develop and maintain core services for AI model deployment and management.Collaborate with cross-functional teams:Work closely with product managers, data scientists, and other engineers to define and deliver AI services.Integrate with other Crusoe Cloud services to provide a seamless user experience.Collaborate with research and development teams to explore and implement new AI technologies.Ensure high availability and performance:Design and implement systems with high availability, low latency, and fault tolerance.Optimize performance across all stages of the AI inference pipeline, including model loading, execution, and response handling.Continuously monitor and improve the performance and reliability of AI services.What You’ll Bring to the Team:Strong Engineering Foundations:Advanced degree in Computer Science, Engineering, or a related field.Proven experience in distributed systems design and implementation.Expertise in using cloud-based services, such as elastic compute, object storage, virtual private networks, managed databases, etc.Experience with container runtimes (e.g., Kubernetes) and microservices architectures.Experience using REST APIs and common communication protocols, such as gRPC.Demonstrated experience in the software development cycle and familiarity with CI/CD tools.AI/ML Expertise:Experience in Generative AI (Large Language Models, Multimodal).Technical Skills:Proficiency in Golang or Python for large-scale, production-level services. (Preferred)Familiarity with AI infrastructure, including training, inference, and ETL pipelines. (Preferred)Contributions to open-source AI projects such as VLLM or similar frameworks. (Preferred)Performance optimizations on GPU systems and inference frameworks. (Preferred)Soft Skills:Proven track record of delivering early-stage projects under tight deadlines.Strong communication and collaboration skills.Proactive and results-oriented with the ability to work independently and as part of a team.Passion for building high-quality, scalable, and impactful products.Bonus Points:Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.Knowledge of machine learning algorithms and data structures.Experience with data streaming and real-time processing technologies.Contributions to open-source projects outside of AI.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $166,000 - $201,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation AI inference platform. You will be responsible for guiding the team through the design and implementation of high-performance, fault-tolerant infrastructure to serve large language models (LLMs) at scale.This role combines technical depth with people leadership — you'll help shape the engineering roadmap, drive execution across key projects, and mentor a team of high-caliber engineers. As part of a fast-growing, strategically important organization, you’ll partner closely with product, business, and platform stakeholders to deliver a performant and reliable platform powering AI for customers worldwide.This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presenceWhat You’ll Be Working On:Team Leadership & Strategy:Lead the design and implementation of core AI services, including:Manage and grow a team of software engineers working on Crusoe’s Managed AI platformSet clear goals, drive accountability, and support career development for team membersPartner with product and engineering leadership to define and execute on the AI roadmapFoster a high-performance, collaborative engineering culture grounded in technical excellenceTechnical Execution:Oversee the architecture and development of core AI services, including:Fault-tolerant task queuesModel management systemsCost-aware scheduling frameworksHigh-performance APIs for real-time inferenceEnsure the team delivers scalable systems capable of handling millions of API requests per secondGuide the team in implementing performance optimizations for GPU-based inference workloadsCollaboration and Influence:Work cross-functionally with product managers, infrastructure teams, and GTM stakeholdersRepresent engineering in strategic discussions related to AI platform growth and customer adoptionPromote knowledge sharing, technical mentorship, and operational best practices within the teamContribute to the evolution of Crusoe’s engineering processes and broader AI strategyWhat You’ll Bring to the Team:Leadership Experience:2+ years of experience managing high-performing engineering teamsStrong track record of hiring, developing, and retaining engineering talentAbility to lead teams through ambiguity and drive alignment around complex technical goalsTechnical Depth:Prior hands-on experience building distributed systems or AI infrastructureDeep understanding of cloud-native environments, container orchestration, and service-oriented architecturesFamiliarity with GPU performance, inference frameworks, or LLM-based systems is a strong plusProduct & Delivery Focus:Comfortable owning deliverables from early design through production rolloutStrong collaboration skills, with a bias for clarity, context sharing, and customer impactExperience operating in fast-paced startup or growth-stage environmentsPreferred Qualifications:Background in Computer Science, Engineering, or a related technical fieldProficiency in Python or GolangFamiliarity with open-source AI ecosystems (e.g., VLLM, Hugging Face, Triton)Experience working with Kubernetes, gRPC, and observability stacksPersonal Attributes:Growth-minded leader who empowers and supports othersExcellent communicator and relationship builderPassionate about building world-class AI infrastructure and teamsBenefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $233,000 - $282,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About the TeamThe Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more.We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleThe cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably.This role is based in San Francisco, CA. In this role, you will:Design and build the development and production platforms that power our products, enabling reliability and security at scaleEnsure our infrastructure can scale to the next order of magnitudeHelp create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group thinkLike all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scaleHave experience building abstractions over cloud platformsTake pride in building and operating scalable, reliable, secure systemsAre comfortable with ambiguity and rapid changeThis role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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FORWARD DEPLOYED ENGINEERAbout H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI and engineering talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning and collaboration, where everyone has something to contribute.Holistic, Humanist, Humble. About the Team: The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.Key Responsibilities:Understand and identify customer’s most important and impactful multi-step task to automateSeamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution deliveryArchitect, build, and maintain production-grade services that scale with usage and complexityCollaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the fieldRequirements:3+ years of professional software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiencesExperience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real productsFluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)Familiarity with frontend frameworks (e.g., React, Vue) and a good sense of UI/UX tradeoffsExperience building and deploying production systems—APIs, services, infrastructure, and/or data pipelinesProficiency in integrating third-party APIs, databases, and external systems in a secure and reliable wayStrong problem-solving skills and ability to thrive in ambiguous, customer-facing environmentsExcellent communication skills, both written and verbalBias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutionsWillingness to travel for on-site deployments or customer engagementsLocation:H's teams are distributed throughout France, the UK, and the USThis role is currently in ParisThe final decision for this will lie with the hiring manager for each individual roleWhat We Offer:Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.Enjoy a competitive compensation package, including salary and equityUnlock opportunities for professional growth, continuous learning, and career development