Senior Ai Product Engineer in San Francisco

About the team The Capital Markets team develops the financing strategy, solutions, and partnerships needed to support our expanding global AI infrastructure platform and long-term investment plans. About the role We’re looking for a structured finance professional to serve as a technical execution engine for a lean, high-impact capital markets team. In this role, you’ll own the models, analysis, diligence, process management, and key execution workstreams behind standardized or more “vanilla” financings, while partnering with senior transactors on more complex transactions. This is not a junior analyst role. You’ll need the experience and maturity to work directly with senior leaders, banks, investors, counsel, and advisors without multiple layers of review. You should be highly capable in the details, strong under transaction intensity, and ready to help build financing processes for a rapidly scaling AI infrastructure platform. What you’ll do Translate financing objectives into clear analyses, recommendations, timelines, and deliverables. Support senior transactors on complex financings, including structuring, documentation, diligence, negotiation, and closing. Lead analysis, diligence, process tracking, and execution workstreams for financing transactions. Own transaction models, including debt sizing, cash-flow waterfalls, sensitivities, covenant analysis, and scenario evaluation. Work directly with internal stakeholders, banks, investors, counsel, advisors, and other counterparties. Review transaction documentation and help ensure commercial, financial, and diligence details are reflected accurately. Manage high-volume, detail-intensive workstreams in a lean team environment. Help develop repeatable tools, processes, and analytical infrastructure as the capital markets function scales. You might thrive in this role if you have At least 4-6 years of directly relevant experience in project finance, structured finance, infrastructure finance, private equity, or a

About the Team OpenAI Finance helps ensure the organization is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement team enables OpenAI to scale responsibly, securely, and at speed by helping teams choose the right external partners, structure strong commercial agreements, and build resilient supplier ecosystems. We work at the intersection of innovation and execution, partnering closely with leaders across the company to turn rapidly evolving needs into scalable, compliant, and economically sound solutions. Professional services are a critical source of specialized expertise, capacity, and operational leverage across OpenAI. Our work spans consulting and advisory services, finance and accounting, legal, people and talent, managed services, and other enterprise capabilities. Done well, sourcing becomes a source of trust and momentum—helping teams move faster with the right partners, clearer outcomes, stronger economics, and appropriate safeguards. About the Role We are seeking a Strategic Sourcing Lead to own and execute OpenAI’s category strategy for Professional Services. This is an experienced individual-contributor role for a high-velocity, hands-on sourcing operator who can set category priorities, own complex work end to end, exercise sound judgment, influence senior stakeholders, and build scalable category mechanisms in a rapidly growing organization. You will turn incomplete information, shifting priorities, and unclear decision paths into practical next steps and disciplined execution. You will manage a broad portfolio of services engagements—from strategic advisory relationships and enterprise programs to high-volume statements of work. Partnering directly with leaders across Finance, Accounting, Legal, People, Extended Workforce, and business teams, you will set category priorities and translate needs into clear sourcing strategies, executable engagement models, and measurable outcomes. You will operate inde

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety. About the Role Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research? This is a senior role in which you’ll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused. Our relevant publications: Preparedness framework Preparing for future AI capabilities in biology Safety evaluations hub OpenAI GPT5 System Card Evaluating Fairness in ChatGPT Improving Model Safety Behavior with Rule-Based Rewards OpenAI Model Spec Your Responsibilities: Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios. Develop structured taxonomi

About the Team Tax and Trade at OpenAI shapes business strategy by embedding critical tax, export control, customs, and cross-border considerations into how the company builds, sources, scales, and operates in support of the mission. We combine deep expertise with practical systems thinking to look around corners, identify emerging risks and opportunities early, and help teams make smarter decisions at the point where strategy becomes execution. Across procurement, hardware operations, manufacturing, logistics, finance, legal, supplier onboarding, and operator workflows, we build robust, scalable support services leveraging cutting-edge technology—including governed AI and automation—to make complex regulated work more durable, more efficient, and easier to scale. About the Role We’re hiring a Senior Manager, Export Controls to lead OpenAI’s export controls strategy and operating model. This is a senior role with broad scope across advanced computing, semiconductors, software, hardware, manufacturing, and high technology partnerships. You will refine how OpenAI classifies controlled technology, software, and hardware, structures access-controlled environments, manages licensing and supplier commitments, and scales export-control operations in a way that supports the company’s pace of innovation. You will also shape how OpenAI applies AI and agentic workflows to policy-heavy operational work, building systems that make complex rules easier to navigate and easier to execute. In this role, you will: Refine the strategy and operating model for OpenAI’s export controls program across advanced computing, semiconductors, software, hardware, manufacturing, and high technology partnerships. Own export classification and licensing strategy for controlled technical data, software, hardware, and research environments. Lead the design and operation of compliant controlled environments and related governance processes. Partner with Research and Infrastructure to support efficient

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We're looking for an APAC Technical Support Engineer based in San Francisco to join our global Support Engineering team. This role is designed to provide APAC coverage to our users; with the shift being Sunday through Thursday 4PM-12AM PST. We are architecting the Technical Support engine . We’re looking for an experienced engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators . You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. In this role you will Master the Sentry Ecosystem & Support Elite Developers Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, s

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. At Flexport, we are building the unified Supply Chain Operating System for global trade. While traditional consulting firms deliver slide decks and walk away, Flexport’s Forward Deployed Consultants (FDCs) embed directly on the operational frontline alongside enterprise clients to architect, build, and deploy real-time supply chain solutions. Operating alongside a Forward Deployed Engineer (FDE), you are a senior technical subject matter expert sitting at the intersection of Operations Research, data science, supply chain strategy, and executive client delivery. You will embed with Fortune 500 retailers, high-tech manufacturers, and global brand leadership to audit complex logistics networks, identify multi-million-dollar cost leaks, and build executable optimization models that transform client supply chains. You will serve as the solution design lead across a set of Flexport capabilities: Order, booking, and shipment management Transportation planning, consolidation, and exception management Data integrations, workflow automation, and operational analytics You won't just analyze data in a vacuum: you will write Python scripts, design supply chain algorithms, whit

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Recruiting, People Analytics, Finance, Legal and Talent. The Difference You Will Make: We are looking for a Technical Compensation Partner to serve as the dedicated compensation partner for the Technology organization, covering Engineering, Infrastructure, Machine Learning, and Data Science. This role will support VP and Director level tech leaders and their Talent Partners as the primary day-to-day compensation resource. The ideal candidate will be a strong business partner and a builder of compensation programs, tools, and data infrastructure, and must be comfortable operating with autonomy in a fast-moving environment. A Typical Day: Serve as the dedicated compensation partner for the Technology organization, supporting VP and Director level leaders, Talent Directors, and People Partners across Engineering, Infrastructure, ML/AI, and Data Science. Act as the primary point of contact for Talent Directors and senior tech leaders on new hire offers, internal equity reviews, leveling decisions, and out-of-cycle requests. Own compensation cycle execution f

About the Role As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ). You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty. What You’ll Do Own compute financial planning & Forecasting. Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments. Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning) Coordinate closely with Corporate FP&A on timelines and process Present insights on a monthly basis to senior management. Drive infrastructure investment decisions. Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs. Develop frameworks for investment trade-offs to guide executive decision making. Build scalable tooling & reporting. Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics. Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer). Drive forecasting accuracy & accountability. Lead budget vs. actual analysis for compute and infrastructure spend. Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance. Support close & financial reporting. Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs C

What you’ll do Be the generalist EE for the scanner system: integration, bring-up, debugging, and making the electrical side of the device reliable and serviceable. Own ultrasound experimentations that feeds the image reconstruction team Design and execute experiment setups for transducer characterization (element sensitivity, bandwidth, cross-talk mapping, beam profile measurements) and ex vivo / phantom clinical testing. Acquire, process, and analyze RF and baseband signals for data quality assessment and benchmarking. Design simple boards and adapters as needed (monitoring, power/safety, interface/conditioning), and take them from prototype through a stable revision. Prototype quickly, then harden what works: wiring/harnessing, grounding, safety interlocks, and reliable integration across subsystems. Own practical test setups and documentation (fixtures, scripts, procedures) that make experiments repeatable and results comparable over time. What we’re looking for Strong hands-on EE background with experience building, debugging, and iterating on real systems in the lab. Solid understanding of signal processing fundamentals — knows what to measure, how to condition and digitize it, and how to evaluate signal quality in the context of an imaging system (SNR, bandwidth, dynamic range, artifacts). Comfortable spanning system integration + occasional design work (schematics/layout reviews or light PCB design) in a fast-moving environment. Ability to work at the boundary between hardware and algorithms: measure reality, communicate constraints, and help close gaps vs simulation. High agency and practicality: able to set up experiments, get trustworthy data, and unblock others on a lean team. Useful experience Analog/mixed-signal, or high-speed data capture experience; strong instincts for instrumentation and noise/debugging. Ultrasound or acoustic sensor handling: hydrophone calibration and field mapping, transducer impedance characterization, element-level sensitivity

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking an Electrical Engineer to build and own the electrical backbone of our robotic actuator dynamometer and test infrastructure. You will design, integrate, and operate the load motor drives, power distribution, instrumentation wiring, DAQ interfaces, and safety systems that make high-performance robotic actuator testing repeatable, safe, and scalable. This role spans hands-on lab execution and system architecture: selecting and commissioning power electronics, designing robust test-cell electrical systems, bringing up sensors and DAQ, and partnering with mechanical and software engineers to turn robotic actuator hardware into trustworthy data. In this role, you will Own the electrical architecture of dynamometer and actuator test cells, from mains distribution and protection through load motor drives, braking, and auxiliary power. Specify, integrate, commission, and tune motor drives and load machines for robotic actuator torque, speed, efficiency, thermal, and durability testing. Design power distribution, grounding, shielding, cable routing, and connectorization for high-current, high-voltage, and low-level measurement systems. Integrate torque, position, speed, temperature, voltage, current, vibration, and other instrumentation from robotic actuators into DAQ and control systems. Develop electrical schematics, wiring diagrams, panel layouts, harness documentation, and test-cell interface definitions. Build, debug, and maintain test-cell electrical hardware, rapidly diagnosing noise, EMI, grounding, drive, sensor, and power-q

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a TPM to drive development and integration of a range of sensor systems for robotics. This role will drive cross-functional alignment across requirements, engineering design, integration, validation, manufacturing, supply chain, and release processes, helping turn complex sensor-system needs into clear plans, decisions, and milestones. Location and in-person expectations: This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive requirements alignment across engineering design, integration, testing, and validation for camera modules, LiDAR, IMUs, RADAR, proximity sensors, audio components and the systems they interact with. Coordinate the integration of modules including electrical, mechanical, harnessing, and software interfaces with the full robotic system with deep understanding of timelines to drive the respective PCBAs, enclosures, build and test fixtures, connectors and cables. Establish effective cadences for technical reviews, BOM readiness, change management, production releases, approvals, and decision tracking. Align harnesses, fasteners, assembly fixtures, test fixtures, and documentation so cross-functional teams can execute against a clear plan. Lead validation planning around functional, reliability, NVH failure modes, including testing needs, schedules, and exit criteria. Partner with manufacturing and supply chain to manage handoffs, lead times, dependencies, and production readiness. Drive tradeoff decisions across cost, qua

What you’ll do Act as the in-house electrical lead for Midjourney Medical: own the electrical architecture of the scanner and the technical direction for all board-level design. Own complex board design end-to-end: architecture, schematic capture, layout (high-speed digital, analog/mixed-signal, power), DFM/DFT, fabrication and assembly vendor management, bring-up, and revision control. Write firmware for embedded targets (MCU/SoC): drivers, real-time control loops, safety-relevant logic, bootloaders, and field update paths. Audit and update HDL (FPGA) code for high-throughput data acquisition, timing/synchronization, triggering, and pre-processing of ultrasound and sensor data streams. Define electrical interfaces and data contracts with software, recon/ML and mechanical teams: timing budgets, clocking/sync, signal integrity, connectors/harnessing, and failure modes. Establish electrical engineering rigor: design reviews, schematic/layout review checklists, bring-up procedures, test fixtures, and documentation suitable for a regulated medical device program (DHF, traceability, change control). Mentor and grow the electrical function; select and manage external design partners where leverage is high. What we’re looking for Deep experience designing complex boards from blank page to stable revision, including high-speed digital and analog/mixed-signal domains. Strong schematic and layout skills (Altium/KiCad or equivalent) with real signal integrity, power integrity, grounding, and EMI/EMC instincts. Solid embedded firmware background in C/C++ (and Python for tooling): peripherals, DMA, interrupts, real-time constraints, and debugging on hardware. Practical HDL experience (VHDL/Verilog/SystemVerilog) for data acquisition, timing, and streaming interfaces. Track record of owning bring-up and debug on real hardware: scopes, logic analyzers, and disciplined root-cause analysis. Technical leadership: clear trade-offs, strong written documentation, and the ability to set

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to design and prototype novel tactile, proprioceptive and force sensor solutions. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design and robotic sensing including tactile sensors, force sensing and position sensing. You will contribute to real hardware programs moving from prototype through early production. You will lead both new sensor subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Lead the design and iteration of mechanical subsystems, including tactile sensors, load cells, force torque sensors and joint encoders. Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. Assist in developing test methods and executing validation to evaluate performance, durability, calibration and failure modes. Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. Collaborate with manufact

Job Requisition ID # 26WD101226 Position Overview As Director, Operations Business Partner, you are the dedicated operations partner for Autodesk's Enterprise Customer Sales business. You are embedded with senior Enterprise Sales and CS leadership, serving as their primary point of accountability for the business’s operations. You are responsible for diagnosing and resolving the Enterprise team's highest-impact operational and business challenges, especially those that cut across systems, functions, and organizational boundaries, and you are the direct interface back into Autodesk's Revenue Operations team and other supporting organizations. This is not a coordination or facilitation role. You are accountable for outcomes — doing the work yourself where you can and driving teams to deliver where you can't. What you never do is hand off accountability. The problems are real, the stakeholders are senior, and the work directly affects how a multi-billion-dollar software business operates and executes in the field. When this role is working well, Enterprise leadership moves faster, operational gaps close before they become business issues, and the connection between the field and the broader organization is stronger. That outcome is yours to drive. What Success Looks Like Sales leadership makes operational decisions faster, with fewer escalations to the central Revenue Operations team and supporting organizations. Operational gaps are identified and resolved before they affect field execution The central Revenue Operations organization and critical stakeholders recei

Job Requisition ID # 26WD101120 Position Overview As Director, Operations Business Partner, you are the dedicated operations partner for Autodesk's Emerging Technologies business. You are embedded with senior Emerging Technologies Sales leadership, serving as their primary point of accountability for the business’s operations. You are responsible for diagnosing and resolving the Emerging Technologies team's highest-impact operational and business challenges, especially those that cut across systems, functions, and organizational boundaries. This is not a coordination or facilitation role. You are accountable for outcomes — doing the work yourself where you can and driving teams to deliver where you can't. What you never do is hand off accountability. The problems are real, the stakeholders are senior, and the work directly affects how a multi-billion-dollar software business operates and executes in the field. When this role is working well, Emerging Technologies leadership moves faster, operational gaps close before they become business issues, and the connection between the field and the broader organization is stronger. That outcome is yours to drive. Responsibilities Get into the details of how the Emerging Technologies business operates — understand the sales process, the execution gaps, and the friction points at the ground level Diagnose operational problems yourself: talk to the field, form a clear point of view, and drive toward a solution before escalating or engaging others Identify patterns across field conversations, business performance, and stakehol