Senior Developer Relations in United States

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We're hiring a Product Partnerships Manager to own Replit's most important strategic partnerships end-to-end: from identifying the opportunity to shipping the outcome and measuring the impact. This is a product-focused role where you will work with our consumer technology partners, such as Stripe, Shopify, Google, and the broader connector ecosystem. You'll work at the intersection of product strategy, ecosystem thinking, and deal execution. You'll need to be a serious Replit power user. You'll speak credibly with engineers. You'll negotiate with senior partner stakeholders. And you'll be the person accountable for turning ambiguous ecosystem opportunities into shipped product and business outcomes. What You'll Do Develop a clear point of view on Replit's partner landscape and build a prioritized pipeline of high-leverage opportunities across consumer tooling, AI tooling, cloud and infrastructure, and payments technology partners. Lead partner conversations from early exploration through joint product thesis, business case, commercial terms, launch plan, and post-launch iteration. Partner with Product, Engineering, Partner Engineering, Legal, Finance, Marketing, and Sales to turn agreements into shipped outcomes. Work directly with Partner Engineers to scope integrations, demos, prototypes, reference apps, and partner enablement assets. Define success metrics before every launch activation: retained usage, apps created, deployments, revenue, partner-sourced users, and use them to decide when to scale, iterate, or sunset a partnership. Build lightweight operating systems: partner scorecards, launch checklists, partner roadmap tracking, and repeatable frameworks for evaluating new opportunities. Represent

About the Team The ChatGPT Library team is building the place where people can save, organize, rediscover, and build on the content they create with ChatGPT. Our goal is to make ChatGPT more useful over time by helping users seamlessly return to important files, images, conversations, and other content across their devices. The team works at the intersection of product engineering, design, and AI research to create intuitive, personalized experiences that make users’ content easy to find and act on. On Android, we are focused on delivering fast, reliable, and deeply native experiences that put a user’s evolving body of work at their fingertips. About the Role We are looking for a senior Android engineer to help build the future of ChatGPT Library on mobile. You will own high-impact product experiences across the Android stack, shaping how millions of people save, organize, discover, and interact with their content in ChatGPT. In this role, you will: Build and ship new Android experiences that help users easily access, organize, and build on the content they create with ChatGPT. Own features end to end—from early product exploration and technical design through implementation, experimentation, launch, and iteration. Develop scalable, maintainable foundations that allow Libraries experiences to evolve quickly as new AI capabilities emerge. Improve the architecture, performance, reliability, and responsiveness of content-rich experiences across a wide range of Android devices. Thoughtfully integrate Android platform capabilities to create experiences that feel intuitive and native to mobile. Partner closely with product, design, research, data science, and engineering teams to translate emerging AI capabilities into useful, polished products. Help establish technical direction and raise the quality bar for Android development across the team. How We Work We care deeply about building products that are intuitive, useful, and trustworthy. We move quickly from ideas to wo

About the Role As a Field CTO (Strategic Pursuits) , you will serve as a strategic bridge between our customers, go-to-market (GTM) teams, and product organization. You will partner closely with Sales, Technical Success, and Product to shape high-impact deals, guide customer architecture decisions, and influence our product roadmap based on real-world adoption and feedback. This is a highly cross-functional, externally facing leadership role for someone who combines deep technical expertise with strong business acumen and customer empathy. In this role, you will: Customer & Deal Strategy Partner with Sales, Product and Technical Success teams to support complex, high-value deals as a technical and strategic advisor. Translate customer business needs into scalable technical solutions and architectures. Engage with senior customer stakeholders (CTO/CIO/VP-level) to drive alignment on vision, roadmap, and adoption. Lead technical strategy discussions during key deal stages, including discovery, solution design, and executive presentations. Architecture & Implementation Guidance Guide customers on best practices for deploying and scaling AI-driven solutions in production. Provide architectural oversight across use cases such as LLM applications, integrations, data pipelines, and security. Act as a trusted advisor to ensure long-term success, not just short-term wins. Product & Feedback Loop Bring structured customer insights back to Product and Engineering teams to inform roadmap and prioritization. Identify gaps, opportunities, and emerging patterns from customer deployments. Influence product direction based on real-world usage, scalability needs, and enterprise requirements. GTM Strategy & Thought Leadership Help shape GTM strategies by identifying repeatable patterns across industries and customer segments. Develop scalable frameworks, reference architectures, and playbooks for broader field teams. Represent the company externally through customer en

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We’re looking for a Marketing Scientist to join OpenAI’s Ads Marketing Science function. Reporting to Marketing Science leadership, you’ll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution. Your mission is to help OpenAI Ads prove and improve advertisers’ media performance. You’ll work with sales, partners, and clients supporting all forms of measurement including verification, attribution, incrementality, brand, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on. You will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to privacy-forward measurement workflows and integrations, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale. This role is based in either San Francisco or New York, and follows a hybrid schedule (Monday-Wednesday). In th

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Grow your career while continuing Exact Sciences’ inspiring work. Changing roles within the company allows you to develop your skills while changing the future of cancer in a new way. Schedule - Monday - Friday 8 am -4:30/5 PST Position Overview This role is responsible for diagnosing and resolving failures in enterprise laboratory instruments and automation systems, conducting root cause investigations, and escalating service issues to minimize downtime. It includes performing routine preventive maintenance and calibrations to ensure equipment reliability and compliance with service standards. The position requires accurate documentation aligned with Good Documentation Practices (GDP) and regulatory requirements such as OSHA, FDA, ISO, and CLIA. Success in this role involves developing technical expertise, training others, and collaborating across teams and vendors to support troubleshooting and project execution. Flexibility, commitment to quality, and a focus on process improvement—including SOP development and workflow optimization—are essential. Key Accountabilities: Include, but are not limited to, the following: Troubleshooting & Repair: Under general supervision, diagnose, repair, and resolve failures following established procedures on instrumentation and automation systems within the laboratory by applying technical expertise to restore functionality. Escalate unresolved or complex issues to senior s

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role… We are hiring a Director of Sales Operations to own the operating rhythm of our pre-sales engine globally: Sales, Sales Development, and Sales Engineering. This is a player/coach role leading a small team of experienced senior operators while staying hands-on, and our first Sales Operations leadership seat in North America. This role reports to the VP of Revenue Operations. What you’ll be doing… Forecasting and pipeline inspection. Own forecast methodology, accuracy, and variance analysis end to end for Sales and Sales Development; run the weekly commit and pipeline inspection cadence; build the leading indicators (stage conversion, velocity, slippage, aged pipeline) that make the forecast defensible before quarter end, not explained after it. Sales process and policy. Own the pre-sales process architecture: opportunity stages, exit criteria, qualification standards, pipeline hygiene rules, rules of engagement, and the SDR-to-AE handoff, including how conflicts get resolved. Sales Engineering coverage. Own the SE deployment model (SE-to-AE coverage ratios, prioritization of scarce SE time), standardize the technical proof-of-concept and demo process, and build the reporting that shows technical w

About the Team The 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. 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’ll: Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios. Develop structured taxonomies of chemical and biological risk that inform model training data, evaluation benchmarks, and safet

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 What You’ll Own Lead, coach, and develop a team of Account Executives focused on the commercial segment across AMER. Drive pipeline generation, deal execution, and consistent attainment of regional revenue targets. Build a strong operating cadence around forecasting, pipeline inspection, deal reviews, rep development, and performance management. Hire, ramp, and retain high-performing talent while creating an ambitious, inclusive, and motivating team culture. Improve sales process scalability through better use of CRM data, performance metrics, and repeatable best practices. Partner closely with Growth, Marketing, Operations, and Product to improve conversion, support important accounts, and remove friction in the customer journey. Reinforce high standards for thoughtful, value-based selling and customer-first leadership. Report on performance, pipeline health, forecast accuracy, and improvement opportunities to senior leadership. Required Qualifications Significant experience leading B2B SaaS sales teams in a commercial, SMB, or mid-market motion. Strong understanding of selling across AMER markets and how regional nuance shapes coaching, hiring, and execution. Proven track record coaching high-performing sellers and improving team productivity, forecast quality, and revenue outcomes. Experience building or scaling repeatable new-business and outbound motions. Strong analytical and operational instincts, with comfort using CRM data, sales metrics, and pipeline insights to drive decisions. Excellent communication, collaboration, and change-management skills. Ability to influence partners across Marketin

About the role Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. We are a small self-funded team focused on design, human infrastructure, and AI. We're looking for a talented visual designer to shape how Midjourney shows up in the world. We are looking for someone with a fresh, opinionated, and high-quality design foundation who can create work that feels distinct, not what’s now but what’s next. You'll partner closely with the leadership on campaigns and visual storytelling across earned and owned channels. This is a freelance engagement with potential for a long-term partnership as the work (and team) grows. What you'll do Design campaign visuals: ads, social, launches — from concept through finished assets Bring editorial design sensibility to our owned channels: email/welcome series, blog, campaign imagery Develop visual systems that are expressive rather than corporate Partner with marketing on what earned and owned should look and feel like Collaborate async with a small, fast-moving team You might be a fit if You're a senior IC — roughly 5–8 years in — with a portfolio of expressive, culturally fluent graphic design: editorial, campaigns, identities across print and digital Typography and composition are your first language You can direct as well as execute: you've shaped campaigns, not just produced assets for them You're plugged into visual culture across art, fashion, publishing, music, and the internet You work well remote and independently Nice to have Editorial/publication experience (print or digital magazines) Motion or illustration You already make things with generative tools Logistics Freelance/contract, part-time to start, with room to grow Fully remote, anywhere. No travel required (though you're always welcome in SF) To apply Send your portfolio. We care about taste, range, and point of view.

About the Team The OpenAI Audit Team is on a mission to build the future of internal audit from the ground up. Our ambition will be powered by a high-energy, technically exceptional team with the judgment, intellectual curiosity, and creativity to harness the latest advances in AI and design a truly next-generation audit function. As AI reshapes how work is performed across the enterprise, Internal Audit will use AI, automation, and data analytics to identify and assess the most significant and emerging risks across the business, including technology, cybersecurity, finance, compliance, operations, and data. We will build trusted partnerships at every level—from the Board of Directors and senior leadership to the teams delivering on OpenAI’s mission every day. We will operate as both an independent assurance provider and a trusted advisor, bringing an objective and pragmatic perspective to critical decisions. By engaging closely with management while preserving our independence, we will help the business innovate responsibly, move with confidence, and manage risk without creating unnecessary barriers. About the Role As the Cybersecurity & Technology Audit Leader, you will help shape the strategy, methodology, technology, and culture of a new audit function. You will lead complex audits and advisory reviews of cybersecurity, technology, data, and AI-related risks while advising leaders on practical ways to strengthen governance, resilience, and risk management. You are an experienced, hands-on professional who combines deep technical expertise with strong business judgment. You can quickly move between executive-level governance questions and detailed technical analysis, use data to identify and assess risk, and form clear, well-supported conclusions in fast-moving or ambiguous situations. You will have meaningful influence over how the function develops, including how we apply AI, automation, and analytics to audit planning, testing, monitoring, and reporting. T

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society, and 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 Safety Oversight Research team aims to fundamentally advance our capabilities to maintain oversight over frontier AI models, and leverage these advances to ensure OpenAI’s deployed models are safe and beneficial. This requires a breadth of new ML research in the areas of human-AI collaboration, reasoning, robustness, and scalable oversight to keep pace with model capabilities. We invest heavily in developing novel model and system-level methods of identifying and mitigating AI misuse and misalignment. Our goal is to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with a passion for AI safety and experience in safety research. Your role will set directions for research to maintain effective oversight of safe AGI and work on research projects to identify and mitigate misuse and misalignment in our AI systems. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Develop and refine AI monitor models to detect and mitigate known and emerging patterns of misuse and misalignment. Set research directions and strategies to make our AI systems safer, more aligned, and more robust. Evaluate and design effective red-teaming pipelines to examine the end-to-end robustness of our safety systems, and identify areas for future improvement. Conduct research to improve models’ ability to reason about questions of human values, and apply these improved models to practical safety challen

About the Team Industrial Compute is building the infrastructure ecosystem that enables OpenAI to train and deploy increasingly capable AI systems at unprecedented scale. The organization operates across compute supply, demand, infrastructure, partnerships, and the physical and commercial systems required to make large-scale compute available. Industrial Compute Strategy & Operations serves as the connective operating layer across this ecosystem. The team works directly with senior leadership across Scaling, Finance, Partnerships, Research, and Infrastructure to translate ambiguous, high-impact challenges into clear strategies, scalable operating mechanisms, and decisive execution. This team is responsible for ensuring that OpenAI’s compute strategy evolves into durable competitive advantage by identifying systemic constraints, aligning stakeholders around critical decisions, and driving the operating mechanisms required to execute at scale. About the Role We are seeking a highly experienced Strategic Operations leader to help shape and operationalize OpenAI’s compute strategy across supply, demand, infrastructure, partnerships, and commercial strategy. This is a senior individual contributor role operating at the intersection of strategy, operations, infrastructure, and executive decision-making. You will work closely with compute leadership to identify the most consequential problems facing the organization, develop structured approaches to solving them, align stakeholders across the company, and drive initiatives from ambiguous concepts through execution. The role will span both strategic and operational work. You may develop long-range compute strategies and investment frameworks, evaluate build-versus-buy decisions, shape major commercial transactions, establish organizational planning mechanisms, or take ownership of a cross-functional initiative that does not have a clear organizational home. Success in this role requires exceptional judgment, analytical

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations. This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations. About the Role We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers. The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems. You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting. Key Responsibilities Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability. Review and develop basis-of-des

About the Team ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change. The ChatGPT Infrastructure team builds and operates the platforms that enable fast iteration without compromising performance or reliability. We design shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on to ship changes to ChatGPT at scale. We focus on high-leverage infrastructure: primitives and “golden paths” that incorporate operational lessons as defaults, so engineers don’t need to rediscover failure modes, latency pitfalls, or integration issues each time they build something new. About the Role We’re hiring Senior and Staff Engineers to design and build infrastructure systems that underlie ChatGPT and multiply the effectiveness of teams building user experiences. This is not a support-only role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling to make safe, fast iteration the norm. Your work will reduce friction, prevent regressions, improve performance, and ensure systems scale gracefully as the product grows. Where You Can Have Impact You might work on one or more of the following areas (without being restricted to any single area): Platform foundations & frameworks: Core libraries, service frameworks, and shared components that standardize system building, integration, and evolution. Scalability & performance primitives: Patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand increases. Reliability guardrails: Mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and robust regression contr