Project Engineer Jobs

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Community team builds products that allow creators to build and grow communities on Twitch. Our products span across creator and viewer journeys. As a Senior Product Manager on the Discovery team, you will own the experience that helps viewers find creators worth coming back for, across search, browse, and serendipitous discovery in the live feed. Your work will focus on helping viewers form their first creator connection and every connection after it, because that bond is what turns an occasional visit into a daily habit. You will be the voice of the viewer for recommendations: defining what viewers want, surfacing what they are not seeing but should, owning the discovery roadmap, and partnering with our ML teams to turn those needs into better ranking and relevance. You will define and execute a product strategy grounded in customer needs, working closely with applied science, design, and engineering to ship and measure your way there. Our team is based in San Francisco, CA but you can work from San Francisco, CA; New York, NY; Irvine, CA; Los Angeles, CA or Seattle, WA. You Will: Own the discovery experience across search, browse, and the live feed, helping viewers find creators worth returning for and form their first connection and every one after it. Define what viewers want fro

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: Apply causal inference methods where experimentation isn't feasible Develop models and analyses that inform pricing, segmentation, and revenue optimization Design, run, and analyze A/B experiments Pa

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you'll do We're looking for an experienced writer to develop data-backed theses and original content pieces around emerging technologies and market trends. In this role, you'll collaborate closely with contributors across the product marketing, product, engineering, and demand generation teams to produce compelling content that engages and informs our audience. This is a unique opportunity for a collaborative writer who excels at translating complex concepts in fintech, B2B technology, AI, and crypto into accessible insights. Responsibilities • Own 3–4 focus areas across industries, emerging technologies, and Stripe product pillars, working closely with product marketing to ensure that our content reflects the latest news and product enhancements • Coordinate with the demand generation team to identify opportunities for new editorial series and research agendas • Pioneer new content formats for Stripe, including short-form content and multimedia projects that grow our audience • Partner with the data science team and third-party agencies to surface relevant insights for existing and potential customers • Ensure consistency and tone in messaging across Stripe channels, including blogs, guides, reports, and social-native content • Manage a pipeline of content, ensuring clear communication and visibility across the organization Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these re

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Creators are the backbone of Twitch, and they rely on their ability to earn a living doing what they love. As an Engineering Leader focused on growing creators' revenue, you will lead people to build products, features and experiences that enable such a living. You will be empowered to work across the stack and across functions. You will take high ownership of your services - architecting, building and operating them. You will partner with other engineering leaders, product managers, designers, data specialists and program managers to deliver solutions. Our teams own features like Subscriptions, Gifting, Turbo, Bits and Hype Train. This role can be based in San Francisco, CA or Seattle, WA. You Will: Lead a team of engineers to design, build and operate full stack applications. Establish a clear vision for your team and generate urgency to deliver for our customers. Have a laser focus on delivering results - even if that means disrupting process or protocol. Articulate behaviors that can grow careers. Your people development radar is always on. Quickly dissect the nuances of trade-offs, making conscious choices and overcoming challenges. Constructively parse, ingest, challenge and reframe proposals / plans for the better. Adjust

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: Apply causal inference methods where experimentation isn't feasible Develop models and analyses that inform pricing, segmentation, and revenue optimization Design, run, and analyze A/B experiments Pa

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: Apply causal inference methods where experimentation isn't feasible Develop models and analyses that inform pricing, segmentation, and revenue optimization Design, run, and analyze A/B experiments Pa

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Fraud Strategy is responsible for building scaled fraud mitigation systems that prevent fraud and protect the financial ecosystem, while minimizing disruption to good users. The fraud team’s mission is to protect Stripe, our users, and the broader financial ecosystem from actors who abuse Stripe accounts for financial gain. What you’ll do As a Fraud Strategist, you will be responsible for building strategies to mitigate fraud (buyer fraud, seller fraud and account fraud) on new and existing Stripe products. You will enable safer money movement for our users and help Stripe manage fraud risks intelligently. The stakes are high, and you will be up against ever-evolving challenges. You will face some of the most complex and dynamic problems at the company, and the nature of your work will evolve rapidly to combat new and more sophisticated challenges to Stripe's integrity in the financial ecosystem. You'll partner closely with Product, Engineering, Data Science, Operations and other Risk Strategy functions to ensure fraud controls are embedded in every Stripe product. Beyond protecting against fraud risk, you'll drive innovation in how Stripe approaches fraud management— staying ahead of emerging fraud trends and pushing the boundaries of what effective, scalable fraud risk management looks like at a global payments company. Responsibilities Monitor portfolio to identify, mitigate and predict risky behavior that could result in loss

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Fraud Strategy is responsible for building scaled fraud mitigation systems that prevent fraud and protect the financial ecosystem, while minimizing disruption to good users. The fraud team’s mission is to protect Stripe, our users, and the broader financial ecosystem from actors who abuse Stripe accounts for financial gain. What you’ll do As a Manager on the Fraud Strategy team, you will lead a team of high performing and tenured fraud strategists responsible for safeguarding Stripe’s rapidly expanding portfolio of money movement and money management capabilities from fraud. You will lead the team to create short, medium and long term strategies that prevent fraud while enabling growth on rapidly expanding Stripe products like Treasury, Issuing, Capital, Crypto and Stablecoins. Responsibilities Lead a Specialized Team: Coach and mentor a world-class team of fraud strategists. You'll be responsible for their professional growth and for fostering a culture of rigorous, data-driven fraud system development. Own the E2E Fraud Prevention Lifecycle: Oversee the team's execution across all critical decision points—from new user onboarding, through offboarding and funds recovery Strategic Stakeholder Partnership: Act as a key partner to Product, Engineering, Data Science, and Operations. You will navigate complex cross functional fraud prevention system development and tuning, ensuring our risk appetite aligns with both internal go

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a special focus on Stripe’s security. Projects include, but are not limited to: Leverage internal telemetry and logs to understand and design secure and safe access controls to sensitive data; Develop methods to model, quantify, and ultimately de-risk security-related incidents on Stripe data, assets, and networks; Collaborate across the company with engineering, PMs, and others to better understand, measure, and ultimately detect various malicious attack vectors. You will act as a key strategic data partner to the Security organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe keeps and maintains the highest level of safety and security for critical business assets and customer data. What you'll do Responsibilities Provide senior technical direction to data teams on horizontal technical areas, including detection, modeling, metrics, observability, etc. Assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution. Identify broad company problems and opportunities that can be tackled through data science Work with relevant teams to design and build the quantitative outputs and artifacts that deliver outsized value to our users and our business. Provide data-driven guidance to cross-functional partners on strategy for tracking and p

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Directly manage and nurture a named account list and develop account plans for winning and expanding business with upper middle market and enterprise companies Build and maintain key relationships with C-level executives, while orchestrating the right executive touch points as well Contribute to shaping our platform partnership strategy and building repeatable processes and scaled engagement models Develop outbound strategies to create and nurture opportunities Own the full sales cycle from lead to close for upper middle market and enterprise companies Work with company leaders from multiple functions (e.g., Engineering, Product, and Finance) to lead complex product workshops and financial analyses Lead and contribute to team projects to develop and refine our sales process Engage with Product and Engineering teams to help drive product strategy Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements Bachelor's degree or foreign equivalent in Business, Economics, Management, or related field followed by 5 years of experience in selling technology products or services for an API-first company. Position also requires the following: 5 years of experience selling a technical product tied to a direct sales quota 5 years of experience driv

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As an Agentic Risk Analyst, you will shape OpenAI’s operating picture for current agentic risk across products and platforms. You will bring a strategic, system-level perspective to current risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. You will analyze how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a particular focus on both adversarial misuse and unintended system behavior. By synthesizing signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents, you will maintain a current view of material risks and evolving threat patterns. Your work will help turn complex and often ambiguous signals into coordinated decisions and measurable follow-through across product, safety, security, policy, and governance teams. You will work closely with investigators, engineers, product, policy, safety, and security teams, and measurement and forecasting

About the Team: OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality. About the Role: We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments. Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations. Candidates must be able to sit onsite in Abilene, Texas 5 days per week Key Responsibilities Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria. Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time. Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations. Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams. Develop repeatable engineering standards, as-built do

About the Team The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. About the Role As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead programs that explore unexpected model behaviors and identify failure modes. Translate vague or emergent risk signals into clear priorities and actionable research plans. Design and run creative evaluations, experiments, and red-teaming campaigns. Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. You might thrive in this role if you: Have strong experience in technical program management, with excellent organizational and communication skills. Are familiar with large language models, prompt engineering, or model evaluation techniques. Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. Are creative and resourceful in devising new methods for testing model behavior and performance. Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI resear

About the Team OpenAI’s Security organization exists to enable safe, responsible innovation at scale. As our systems, infrastructure, and research footprint grow, we invest deeply in world-class security capabilities that protect our people, products, and users without slowing progress. This organization safeguards OpenAI’s environments by building advanced detection systems, driving real-time response capabilities, scaling telemetry and logging infrastructure, and delivering actionable threat intelligence to stay ahead of adversaries. About the Role We are seeking a Global Detection and Response Lead to own and scale OpenAI’s cybersecurity detection and response operations. In this role, you will set the strategy and drive execution for security monitoring, incident response, recovery, and post-incident improvements across our global infrastructure. You will be a hands-on leader with deep technical credibility and strong operational instincts. You will build and mentor high-performing teams, partner closely with Infrastructure, Research, Product Security, Enterprise Security, IT, and Engineering, and ensure that detection and response capabilities are embedded by design into the systems that power OpenAI. This is a strategic and practical leadership role requiring deep technical credibility, operational rigor, and the ability to build high-performing teams in a fast-moving environment. In this role, you will: Oversee global detection and response operations, including continuous monitoring, triage, investigation, containment, and remediation of security events across a diverse set of networks and infrastructure. Lead, mentor, and directly manage several small teams of senior engineers across observability, detection and response, and threat intelligence. Hire and scale these functions deliberately and proportionately as OpenAI’s compute footprint and platform ambitions grow. Ensure world-class operational rigor and readiness through management of incident playbooks

About the Team: The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. We design and operate the systems that power model serving, API access, billing, developer tooling, and enterprise integrations—forming the connective tissue between OpenAI’s research breakthroughs and real-world products. Our mission is to make it effortless for anyone to build with OpenAI technology. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate GPT models, fine-tune behavior, manage data, and deliver transformative experiences to their users. We collaborate across product, research, and engineering teams to ensure that innovation in model capabilities translates directly into value for customers. The API team spans multiple disciplines, including product management, infrastructure engineering, developer experience, and data systems. We care deeply about reliability, scalability, and simplicity—creating tools that let developers focus on their ideas while we handle the complexity of running world-class AI systems. About the Role: We are seeking an experienced Product Manager to define and scale the construction of our data processing, data privacy, billing, and access controls products. You will set strategy and execute on projects like expanding our regional data processing footprint, enabling new inference caching controls in the API or building APIs that make it easier for organizations to manage their spend limits. You will also define the strategy and ship foundational capabilities that ensure customers use OpenAI products securely, privately, and with enterprise-grade controls. This role partners deeply with engineering, security, legal, compliance, finance and leadership to deliver high-trust, enterprise-grade systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to n