Jobs in United States

Partner Development Manager in United States

5,126 active opportunities · Updated October 2026

Explore current partner development manager jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -92.5%

From $100K/yr

Quick readStrong listing-quality and freshness signals

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Why this role is on the menu Instacart's Retail SDR team is scaling fast, and the difference between a team that meets targets and one that consistently exceeds them comes down to who is leading it. Without this role, a growing team of Retail SDRs lacks the coaching, process discipline, and cross-functional coordination needed to identify, qualify, and close independent retailers at the pace our expansion demands. Twelve months from now, this person will have built a high-performing SDR team that is hitting quarterly qualified meeting and sales targets, tightened the sales funnel, and made Instacart a more efficient and effective engine for bringing new retail partners onto the platform. What you'll cook up in your first year A team of Retail SDRs consistently achieves quarterly qualified meeting and sales targets, supported by hands-on coaching in sales best pract

M
📍 Boise, ID - Main Site, United States
✓ Quality checkedCompany trend -74.1%

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are at the heart of advanced DRAM node development, driving innovations from concept to high-volume production. Our team partners closely across Technology Development, Design, Quality, and Manufacturing to bring innovative memory technologies to life. If you’re excited about translating breakthrough ideas into real-world impact, you’ll find this work both challenging and rewarding. As a High Volume Manufacturing (HVM) Node Development Product Engineer, you will play a central role in introducing new DRAM nodes into production at the ID1 fab. This role connects development to manufacturing—owning yield ramp, cost efficiency, and quality improvements. You’ll collaborate cross-functionally to solve complex problems, improve product performance, and ensure successful technology transfer at scale. Responsibilities: Lead new node startup, qualification, yield ramp, and production readiness Guide development teams on process integration using deep technical insight Analyze yield data and electrical failures to drive measurable improvements Partner with Design, TD, Quality, and Test teams to resolve yield and performance issues Use statistical tools and lab analysis to identify root causes and optimize processes Minimum Qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field Familiarity with DRAM architecture, operation, testing, and process integration Understanding of CMOS fundamentals and

AIRecruitment
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📍 New Jersey, Parsippany, United States
✓ Quality checkedCompany trend +5.2%

We’re here for one reason and one reason only – to cure cancer. Every moment is dedicated to developing treatments and every action moves us one step closer to our goal. We’ve made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm. But we're not finished yet. Join Kite, as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Kite and help create more tomorrows. Job Description We are seeking a highly motivated leader to join us as Executive Director, Clinical Development (MD) in the multiple myeloma disease area. This role will play a key role in development and oversight of cell therapy programs, collaboration with external partners, and support evaluation opportunities for expanding the clinical development program. You will lead a portfolio of clinical trial programs in cell therapy clinical development: Accountable for the design, conduct, evaluation, close-out and reporting of clinical trials across the portfolio. Lead and direct the development, implementation, and execution of the clinical development strategy, which will include development of the Target Product Profile and Clinical Development Plan. Additional leadership or oversight responsibilities may include, but are not limited to, additional study or investigator documentation, contribut

GCPRecruitment
C-
📍 New York, New York, United States
✓ High-confidence listing

$130K – $160K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Sales Engineer II, you will be responsible for ensuring our customers successfully integrate with the CLEAR1 platform, with a focus on our Healthcare vertical. You will work across the Growth, Product, and Engineering teams to develop a deep understanding of the problems our customers are facing and influence how we’re building our platform for scale. We’re looking for a candidate with an excellent technical background who is looking to have a direct impact on customer and developer experiences. What you'll do: Lead presales customer engagements, including technical discovery, product demos, use case demos, RFPs, solution and integration scoping, and proof-of-concepts Drive customer integration for enterprise-level customers including building reference applications, prototypes, and architecture diagrams Develop code samples, integrations, and applications to demonstrate best practices and minimize customer development time, across a variety of languages and frameworks Support customers throughout the presales, proof of concept, and integration processes, assisting with common coding issues and patterns or troubleshooting Creating and maintaining public and internal documentation to help scale the team Act as the internal and external expert in the integration and usage of the CLEAR identity platform Collaborate across Sales, Product and Engineering to ensure that CLEAR strategically incorporates customer feedback and new product features into our roadmap Stay up-to-date with the latest trends and developments in the Healthc

C-
📍 New York, New York, United States· Full-time
✓ High-confidence listing

From $130K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Solutions Engineer, you will be responsible for ensuring our customers successfully integrate with the CLEAR1 platform, with a focus on our Healthcare vertical. You will work across the Growth, Product, and Engineering teams to develop a deep understanding of the problems our customers are facing and influence how we’re building our platform for scale. We’re looking for a candidate with an excellent technical background who is looking to have a direct impact on customer and developer experiences. What you'll do: Lead presales customer engagements, including technical discovery, product demos, use case demos, RFPs, solution and integration scoping, and proof-of-concepts Drive customer integration for enterprise-level customers including building reference applications, prototypes, and architecture diagrams Develop code samples, integrations, and applications to demonstrate best practices and minimize customer development time, across a variety of languages and frameworks Support customers throughout the presales, proof of concept, and integration processes, assisting with common coding issues and patterns or troubleshooting Creating and maintaining public and internal documentation to help scale the team Act as the internal and external expert in the integration and usage of the CLEAR identity platform Collaborate across Sales, Product and Engineering to ensure that CLEAR strategically incorporates customer feedback and new product features into our roadmap Stay up-to-date with the latest trends and developments in the Health

GitRestAIRust
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem. What you'll do here Design and build product features that push the standard for remote development in self-hosted environments Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools Champion best practices to both internal team members and external contributors Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations Document the design, implementation, and operations of systems for knowledge sharing within the team Work alongside Customer Success teams to support Coder’s enterprise user base Work with cutting-edge AI technologies to create seamless, painless developer experiences Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment What we're looking for 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) Proficiency in building distributed systems in Go Excellent verbal and written communication skills Excep

TypeScriptReactAWSGCP
D
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -88.5%

From $200K/yr

Quick readStrong listing-quality and freshness signals

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech

KubernetesCI/CDRestAI
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 New York, New York, United States· Full-time· Remote
✓ High-confidence listingCompany trend -84.1%
Quick readStrong listing-quality and freshness signals

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or c

JavaScriptPythonJavaAWS
O
Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -84.1%
Quick readStrong listing-quality and freshness signals

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

JavaScriptPythonJavaAWS
O
Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 Seattle, Washington, United States· Full-time· Remote
✓ High-confidence listingCompany trend -84.1%
Quick readStrong listing-quality and freshness signals

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

JavaScriptPythonJavaAWS
O
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -84.1%
Quick readStrong listing-quality and freshness signals

About the Team OpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially improve engineering workflows and accelerate innovation. Our work turns early, high-touch deployments into repeatable solution patterns, reference architectures, and evaluation practices that scale across the semiconductor ecosystem. About the Role We are seeking a highly skilled Physical Design Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is a senior IC role that will begin with a strong emphasis on physical design expertise, technical judgment, advisory leverage, and customer credibility, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time. In the near term, you will serve as the team’s physical design SME across semiconductor deployments: helping FDEs, Product, and Research understand backend implementation workflows, pressure-test AI-assisted solution ideas against real physical design constraints, and raise the quality of our customer-facing technical work. You will help the broader team build fluency in implementation flows, EDA tooling, signoff methodology, and the trade-offs that shape physical design decisions in practice. Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions. This is a strong fit for someone who brings deep physical design expertise today and is excited to grow into a customer-facing, syst

PythonAWSRestAI
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -84.1%

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

JavaScriptPythonJavaAWS
O
Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 Seattle, Washington, United States· Full-time
✓ Quality checkedCompany trend -84.1%

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

JavaScriptPythonJavaAWS
P
📍 Texas, California, United States· Full-time
✓ High-confidence listingCompany trend -100%
Quick readStrong listing-quality and freshness signals

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. ** Please note that we're requiring in-office. The team is based in Austin, TX -- remote is not an option** What You’ll Do Design, develop, and maintain software using modern languages. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve complex technical issues across various programming languages and technologies. Engage with customers to gather feedback, understand their needs, and provide technical support when required. Mentor and guide other engineers, promoting best practices in software development. Participate in code reviews to ensure high-quality code and maintainable systems. Stay current with industry trends and emerging technologies, integrating them into our products where applicable. Contribute to the overall architecture and technical strategy of the company. About You 5+ years of experience in software development, preferably in a startup environment. Proficient in Typescript, and/or Python, Java, Go, C#, or PHP Strong technical skills and experience working with developer tools and APIs. Profi

TypeScriptPythonJavaAgile
O
📍 San Francisco, California, United States· Full-time· Remote
✓ Quality checkedCompany trend -84.1%

About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each lea

TypeScriptReactAWSRest
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