Design Quality Engineer in United States

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Lead large-scale brand campaigns across digital, events, and out-of-home. Partner with engineering and product marketing on major product launches. Turn complex technical ideas into clear, compelling visual communication. Evolve the Baseten visual identity into a brand system that scales. Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership. Shape our employer brand and help define how new hires experience Baseten. Raise the bar for craft across every customer touchpoint. ABOUT YOU You have a portfolio of exceptional work with outstanding visual craft and attention to detail. You care deeply about quality and sweat the details. You communicate ideas clearly and thrive in collaborative environments. You know when to build systems, not just execute on assets. You default to ownership and are comfortable leading highly cross-functional projects from concept through launch. You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them. You thrive in a fast-moving environment with a high bar for quality. You have strong opinions about design and can articulate why something works - and why it doesn't. BONUS Motion design and animation experience Experience designing for developers or highly technical audiences. BENEFITS Competitive compensation, including meaningful equity. 100% covera

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re looking for a Head of Environment to build the physical expression of Baseten as we grow from roughly 300 employees today to more than 2,000 over the next couple of years. You’ll own the environments, spaces, and experiences that define what it feels like to work at Baseten. This is equal parts operations, hospitality, design, and strategy. You’ll partner closely with our founders and leadership team to create an environment that scales with the company while remaining unmistakably Baseten. You’ll inherit a strong Workplace Experience team and continue to evolve the function into one of the defining strengths of the company. We’re looking for someone who has built and scaled world-class workplace functions before; someone who has seen what’s ahead and can help us get there faster. RESPONSIBILITIES Own Baseten’s global workplace and real estate strategy, developing the long-term roadmap for how our physical footprint evolves as we scale from hundreds to thousands of employees. Lead real estate planning, site selection, expansions, and significant capital investments across our headquarters, growing network of smaller offices, and future international locations. Build and operate exceptional workplaces. Own end-to-end workplace operations, office buildouts, relocations, and launches, ensuring every office runs smoothly with an uncompromising bar for quality, hospitality, and attention to detail. Define the

As the Salesforce Administrator at Coder, you’ll help keep our Salesforce environment reliable, efficient, and ready to support the business. You will help keep our Salesforce environment running cleanly and efficiently, and you'll work closely with Finance and our Sales Ops Salesforce Admin. The work spans day-to-day administration, Flow builds, and DealHub CPQ support — with occasional AI-assisted development tasks mixed in. You'll be working alongside someone who knows the environment well, so the expectation is that you can plug in quickly and operate with minimal hand-holding. What you’ll do here Own day-to-day Salesforce administration including user management, configuration, and data integrity Design, implement, and troubleshoot Automations using Salesforce Flow Configure and support DealHub CPQ including pricing rules, quote templates, and related requests Build and maintain reports and dashboards, with a focus on pipeline and revenue visibility for Finance Partner cross functionally on projects, sandbox management, and incoming support work Assist with Apex AI-assisted development tasks as needed Support data quality efforts including deduplication and cleanup as needed Manage end to end implementation of Salesforce including Okta provisioning, sales tools, and CPQ Own data governance across Salesforce by enforcing data quality standards, managing field-level security and access, and building validation rules that catch bad data at entry. You'll audit integrity regularly and partner with RevOps and Engineering to keep CRM data trustworthy Lead technical delivery of system improvements: scoping, building, testing, and deploying changes end-to-end Manage Salesforce releases, sandbox environments, and deployment processes Develop and maintain Salesforce customizations using Apex, Visualforce, and Lightning Web Components Own integrations between Salesforce and connected systems including architecture, build, testing, and maintenance Perform unit testing, trou

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As Vanta continues its push into the enterprise, the Upmarket Account Executive team is at the center of that growth, and this role is the dedicated enablement partner making that motion faster, sharper, and more scalable. As a Sr. Revenue Enablement Manager supporting our Upmarket AE organization, you'll operate as a true strategic thought partner to AE leadership, helping design and build the enablement infrastructure needed to win in complex, enterprise sales environments. This is a high-autonomy role that shapes how Vanta's most strategic sellers learn, grow, and perform. What you’ll do as a Sr. Revenue Enablement Manager at Vanta: Serve as a dedicated strategic partner to Upmarket AE leadership, including directors and frontline managers, to deeply understand the upmarket GTM motion and proactively identify where enablement can drive measurable impact on pipeline and revenue. Build and maintain a suite of high-quality enablement resources, including playbooks, deal strategy frameworks, account planning tools, and competitive positioning guides, that equip AEs to engage and win at the enterprise level. Design and deliver enterprise-grade sales methodology programs, such as MEDDPICC and Command of the Message, and embed them into the day-to-day practices of the Upmarket AE team. Conduct continuous needs assessments, drawing on data from Gong, Salesforce, and direct field observation, to identify capability gaps and prioritize the enablement roadmap accordingly. Partner cross-functionally with Revenue Operations, Product Marketing, Product Management, and Solutions Engineering to ensure Upmarket AEs have timely, high-quality

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Own the experience of our iOS and Android mobile apps, including guiding the adaptation of desktop features to mobile Pair closely with mobile engineers and product leads to initiate and complete mo

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues an

Team description At Datadog, AI agents are becoming first-class consumers of observability, security, and software delivery data — from third-party coding agents like Claude Code, Cursor, and Copilot, to our own Bits SRE, Bits Assistant, and Bits Dev Agent. The Agentic Interfaces team owns the platform that connects these agents to Datadog: the MCP Server, the tools and retrieval surfaces agents call into, and — critically — the evaluation systems that tell us whether an agent's experience on Datadog data is actually getting better over time. This role is about that last piece. We're hiring a Staff Applied Scientist to define what "good" means for an Agentic interface at Datadog and to build the measurement systems that make it true. "Good" isn't one number — it spans answer quality, tool-selection accuracy, retrieval relevance, latency, token cost, and end-to-end agent success on real customer workflows. You'll design the evals, build the datasets, define the metrics, and partner with the AI engineers on the team to land the platform that lets every product group at Datadog ship integrations that are demonstrably better release over release. The space is full of open research questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when the tool catalog has hundreds of entries and grows weekly? How do you build a measurement system that catches regressions across first-party and third-party agents at once, without each team writing their own harness? If those are the problems you want to spend your time on, come build this with us. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. What You’ll Do: Own the evaluation strategy for Datadog's AI agent integrations. Define the metrics — offline and online, quali

The Internal Product Analytics (IPA) team is the analytics backbone of Datadog's Product organization. With over thirty products on a single platform, IPA gives PMs and leadership the data, tooling, platform, and analysis they need to make good decisions. The team owns the recurring analytical work the Product org runs on and builds the AI-first workflows that make that analysis faster and more consistent across the org. As Manager of the Internal Product Analytics team, you will directly manage a team of data analysts, partner closely with the PMs your team serves, and partner with the associated platform engineering teams. You will set the direction for how the team delivers analysis, builds AI-first tooling, and partners across functions. This is a role for someone who works well across teams, turning complex data and open questions into clear, trusted answers that PMs and leadership can act on. What You'll Do: Guide and grow the Internal Product Analytics team. Manage, coach, and develop a team of data analysts. Set priorities, hold a high bar for quality, and make sure the team's output is trusted across the Product org. Partner directly with the PM org. Work side by side with the PMs your team serves to frame the questions that matter, shape the analysis, and make sure the answers reach them in a form they can act on. Own the recurring analytics the PM org runs on. Business reviews, feature request analysis, usage and adoption tracking, and pricing analysis. Make this work consistent, repeatable, and fast so PMs get answers when they need them. Build AI-first analytics. Design and ship AI-powered workflows and agents that do the heavy lifting of analysis, from data querying to synthesis to reporting. Set the standard for how the team uses AI so analysis scales without simply adding headcount. Partner across functions. Work with Finance, Data Platform, Engineering, and Revenue teams to align on definitions, source the right data, and turn raw signals into decis

We are seeking a visionary Answer Engine Optimization Lead to spearhead our Large Language Model (LLM) and AI platform visibility strategy (e.g., ChatGPT, Claude, Google AI Overviews, Perplexity). Reporting into the Director of Marketing Acquisition, this role will be responsible for expanding our brand authority, maximizing developer mindshare, and driving new customer acquisition by optimizing MongoDB’s presence within LLM and answer engine responses. If you thrive at the intersection of technical content architecture, structured data, community advocacy, and AI-era discovery—and you want to lead a team on the front lines of defining the next wave of search experience optimization—this is a critical leadership role designed to accelerate target audience awareness and Product-Led Growth (PLG). This role will be based remotely in the United States. Key Responsibilities Define & Execute AEO Strategy: Design and own MongoDB’s global LLM visibility growth initiatives. Develop and execute strategies focused on increasing the citation share, sentiment, and accuracy of MongoDB across various technical developer audiences and agentic AI models Team Leadership: Oversee and scale a high-performing team of SEO, AEO, and content optimization professionals, fostering a culture of rapid experimentation in the AI search space Technical Information Architecture: Collaborate with Product, Engineering, and Documentation teams to optimize MongoDB’s digital footprint for LLM crawlers. Impose best practices for structured data, schema markup, knowledge graphs, and API/documentation accessibility to facilitate flawless RAG (Retrieval-Augmented Generation) ingestion UGC Response & Community Advocacy: Coordinate a multi-team framework (including Developer Relations and Support) to ensure timely, high-quality, and LLM-friendly insights are present on critical developer watering holes (e.g., Reddit, Stack Overflow, GitHub, Wikipedia). Leverage "build in public" tactics to organicall

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach users with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale. You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning users reach value and build durable habits. In this role, you will: Partner with product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement. Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability. Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident response—so teams across the company can launch safely and efficiently. Partner with Product Marketing Managers and other client teams to translate audience, product, and business goals into evergreen journey stra

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a B2B Paid Marketing leader to own and scale global acquisition across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct business segments, and own measurable impact from demand creation through customer growth. You will partner closely with Sales, GTM, product marketing, lifecycle, product, engineering, data science, finance, design, and marketing operations to connect paid campaigns to the right buying journeys. This team thrives on rapid iteration, rigorous measurement, and close feedback loops that improve lead and account quality, conversion, pipeline, and long-term customer value. In this role, you will: Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for B2B audiences, including planning, forecasting, budget pacing, audience design, and performance management. Build and optimize programs across self-serve, product-led, and sales-assisted motions, adapting channel strategy to segment, use case, buyer, and funnel stage. Partner with Sales and GTM teams to align campaigns with revenue priorities, product launches, solution plays, account segments, and regional opportunities. Optimize full-funnel performance from demand capture and qualified leads through activation, pipeline, conversion, expansion, and long-term customer value. Develop B2B audience, offer, and messaging strategies for decision-mak

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Consumer Paid Marketing leader to own and scale global acquisition across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy, oversee execution at significant scale, and grow a broad consumer product across diverse audiences, use cases, and international markets. You will partner closely with product, engineering, data science, finance, design, brand, creative, lifecycle, and regional marketing to connect paid experiences to in-product journeys. This team combines rapid iteration, rigorous measurement, consumer insight, and culturally relevant creative to drive acquisition, activation, retention, and long-term user value worldwide. In this role, you will: Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for a scaled consumer product, including planning, forecasting, budget pacing, audience strategy, and performance management. Manage significant investment across a broad international portfolio, balancing global consistency with market-level opportunity, platform dynamics, and cultural nuance. Optimize the full consumer journey from acquisition through activation, engagement, retention, and monetization, with a focus on durable unit economics and cohort quality. Develop audience, use-case, offer, and creative strategies that reach diverse consumer segments and translate across languages, cultures, and stages of product maturity. Partner with regional marketing and localization

About the Team OpenAI is building AI systems that can help professionals perform complex, high-value work with greater speed, rigor, and creativity. Investment banking is one of the most demanding environments for knowledge work: bankers must synthesize fragmented information, exercise judgment under pressure, and produce precise, defensible models, analyses, and client materials. Our team works across Research, Product, Engineering, and Go-to-Market to make OpenAI's models genuinely useful for these workflows. We translate real professional work into product requirements, evaluations, training signals, and repeatable customer solutions. We care not only whether a model can generate an answer, but whether it can deliver accurate, defensible work that experienced bankers can trust and use. 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. About the Role We are looking for a Subject Matter Expert in Investment Banking to help define what excellent AI-assisted banking work looks like and turn that standard into better models and products. You will bring deep, current knowledge of how investment banking work is actually performed, including company and industry research, financial analysis and modeling, valuation, diligence, transaction execution, and the creation and review of client materials. You will use that expertise to design realistic tasks and evaluations, create and assess high-quality reference work, diagnose model failures, and help our technical teams improve model behavior and product experiences. This is a hands-on individual-contributor role for someone who enjoys both doing the work and explaining what makes it good. You should be comfortable moving between an Excel model, a presentation, a source document, an evaluation rubric, a product prototype, and a conversation with researchers or customers. You will help us distinguish outputs that merely look pl

About the Team The Account & Platform Integrity Operations team protects OpenAI’s ecosystem by ensuring that users, developers, partners, and organizations can access and build on our platform safely and responsibly. The team works across account integrity, fraud prevention, abuse detection, and platform risk to prevent bad actors from exploiting OpenAI’s products and developer surfaces. This role will sit within the Account & Platform Integrity Operations team while partnering closely with teams across the Ecosystem organization to ensure the platform can scale rapidly without compromising trust, quality, or safety. About the Role - Platform Operations Program Manager As OpenAI's developer ecosystem expands, we're building the operational foundation to support the next generation of plugins, MCP apps, agent skills, and integrations. As a Platform Operations Program Manager, you'll partner across Product, Engineering, Policy, Legal, Security, and Developer Experience to design the systems and operating models that enable ecosystem growth while maintaining quality, trust, and an exceptional developer experience. This role requires strong operational judgment, a deep understanding of developer platforms and APIs, empathy for the developer experience, and the ability to translate evolving product, platform, and policy requirements into scalable operational systems. Location: San Francisco, CA (Hybrid - 3 days in office) What You'll Do Own the operational processes that help developers bring apps, plugins, and integrations to market, from submission and review through launch, appeals, and ongoing monitoring. Manage external review partners and policy operations workflows, helping teams apply standards consistently while identifying areas where guidance, process, or quality expectations need to improve. Partner with Product, Engineering, Policy, Legal, Security, Developer Experience, and Go-to-Market teams to turn platform goals and requirements into clear, effec

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 You will work at the cutting edge of OpenAI's robotics hardware, partnering with hardware and software teams to develop, build, test, and iterate on robotic systems. Working closely with engineers, you will build prototypes, execute experiments, fabricate fixtures, troubleshoot hardware, and help drive rapid iteration on new robotic technologies. Your practical problem-solving and technical judgment will help move projects from concept to reality. We are looking for versatile, hands-on generalists who enjoy solving problems across mechanical, electrical, fabrication, and experimental domains. The ideal candidate will have strong experience in high-velocity and early-stage hardware development environments, provide thoughtful feedback to engineering teams, and help improve both hardware and development processes. This role will help accelerate robotics development by enabling fast, high-quality iteration on new hardware concepts and systems. This role is based in San Francisco, CA, and is in-person 5 days a week. In this role, you will: Partner closely with engineers, researchers, and other members of the robotics team to support prototype development, experimentation, and hardware iteration. Build, modify, troubleshoot, and repair robotic systems and electromechanical assemblies spanning structural, electrical, sensing, and actuation subsystems. Design and fabricate fixtures, adapters, test equipment, and other prototype hardware that accelerate development efforts. Execute low-volume builds, engineering changes, and rework activities acro