Partner Engineer Jobs

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team As a member of the Partner Solutions Architecture (PSA) team, you will be responsible for providing technical guidance to Stripe's partners. Our goal is to drive growth through co-solutioning, education, and enablement with our partner ecosystem. You'll serve as a critical technical liaison to Stripe's Partner Development Managers, creating comprehensive technical business plans that identify, incubate, and bring to market service and solution offerings built on or with Stripe. A Partner Solutions Architect at Stripe is intellectually curious, entrepreneurial, and energized by building deep technical trust with partners. What you'll do Partner Solutions Architects build highly consultative, trusted relationships with executives and technical decision-makers to provide business and technical thought leadership. You'll become a trusted advisor for solving mission-critical business challenges, architecting solutions that help partners drive new monetization opportunities and growth. Responsibilities Work with key partners to build out their Stripe capabilities and solutions to drive scalable growth Develop and execute technical enablement plans tailored to partner maturity and product focus Lead technical discussions and solution deep-dives with partners on the value Stripe can provide to their clients Engage with CTOs and engineering leaders at key partners to share Stripe's technology roadmap, showcase the latest innovations, and define a sol

Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team As a member of the Partner Solutions Architecture (PSA) team, you will be responsible for providing technical guidance to Stripe’s partners. Our goal is to drive growth through co-solutioning, education and enablement with our partner organization. The right candidate will be a critical technical liaison to the Stripe Partner Development Manager. This will involve creating comprehensive technical business plans for Partners, including identifying, incubating and bringing to market service/solution offerings built on or with Stripe. A Partner Solution Architect is someone who is intellectually curious, motivated to win, open and entrepreneurial. What you’ll do As a member of the team, PSAs build highly consultative trusted relationships with executives and technical decision makers in the customer’s organisation to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they can drive new monetization opportunities and growth. Responsibilities: Work with key partners to build out their Stripe capabilities and solutions to grow their business and drive non-linear growth Develop and execute enablement plans Be at the forefront of technical discussions & solution deep-dives with partners on the value Stripe can provide to their clients Engage with CTOs, engineering & other technical leads at key partners to share technology

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team As a member of the Partner Solutions Architecture (PSA) team, you will be responsible for providing technical guidance to Stripe's partners. Our goal is to drive growth through co-solutioning, education, and enablement with our partner ecosystem. You'll serve as a critical technical liaison to Stripe's Partner Development Managers, creating comprehensive technical business plans that identify, incubate, and bring to market service and solution offerings built on or with Stripe. A Partner Solutions Architect at Stripe is intellectually curious, entrepreneurial, and energized by building deep technical trust with partners. What you'll do Partner Solutions Architects build highly consultative, trusted relationships with executives and technical decision-makers to provide business and technical thought leadership. You'll become a trusted advisor for solving mission-critical business challenges, architecting solutions that help partners drive new monetization opportunities and growth. Responsibilities Work with key partners to build out their Stripe capabilities and solutions to drive scalable growth Develop and execute technical enablement plans tailored to partner maturity and product focus Lead technical discussions and solution deep-dives with partners on the value Stripe can provide to their clients Engage with CTOs and engineering leaders at key partners to share Stripe's technology roadmap, showcase the latest innovations, and define a sol

A newly created role to help Databricks create new product categories. As Databricks accelerates its most strategic products, we are investing ahead of the curve in the partner ecosystem that helps our customers adopt them, and we are building a new specialisation function to lead that effort. You will pioneer it across EMEA. Reporting to: Director, Partner Field Engineering (EMEA). As the Senior Product Specialist Partner Solutions Architect, you own how our leading System Integrator partners develop deep, market-leading expertise in Databricks' priority products: OLTP/Postgres (Lakebase): Databricks' fully managed, Postgres-compatible operational (OLTP) database for intelligent applications Product AI (Genie): Databricks' natural-language analytics experience, letting anyone ask questions of governed data conversationally AI Router & Governance (Unity Gateway): Databricks' governed gateway for securely managing, monitoring and routing access to AI and large language model endpoints Migrations & Modernisation: moving legacy data warehouses and platforms onto the Databricks Data Intelligence Platform Turn-key Solutions: Cybersecurity (Lakewatch) and CDP (CustomerLake) with more to come Your mandate is to take our leading partners to the highest tier of Centre-of-Excellence product specialisation on these products, and to turn them into independent, market-leading extensions of the Databricks field. Working hand in hand with our EMEA Product Specialist team, you will carry both the deep technical narrative and the business-value and go-to-market narrative that get these products positioned, adopted and scaled through the partner channel. This is a builder's role: you will design the blueprint for a partner product-specialist function that Databricks scales globally, starting in EMEA. What we are trying to achieve Databricks' priority products are seeing strong momentum across EMEA. Lakebase is one of the fastest-growing additions to our platform, Unity Gatewa

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Worldwide Alliances & Channels team is responsible for developing and managing a global community of partners that helps ambitious businesses with industry-leading payments and financial infrastructure solutions and services. These partnerships provide Stripe with the opportunity to unlock our market opportunity, supporting us in accelerating our users growth across all market segments from Startup to Enterprise companies. What you’ll do We’re looking for a Partner Development Manager to own and grow existing, mature, strategic systems integrator (SI) partnerships across EMEA. The focus is on deepening established relationships and improving joint commercial outcomes, rather than incubating or building new partnerships. You’ll manage a defined portfolio of large SI organizations, owning each partnership end to end. You’ll engage senior commercial and technical stakeholders, align on shared priorities, and turn joint partner plans into measurable pipeline and revenue. This is a partner relationship and revenue-generating role. You’ll work closely with regional sales teams and partner stakeholders on joint account planning and customer engagements. You’ll also coordinate with partner solution engineering, marketing, and program teams to strengthen partner capabilities and grow their Stripe practices. Responsibilities Own a defined portfolio of existing, mature, strategic SI partnerships end to end, from joint planning and stakehol

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 make sure Micron DRAM performs where it matters most: inside next-generation servers, client systems, and emerging compute platforms. Our team works at the intersection of memory technology, silicon behavior, platform architecture, firmware interaction, and system-level validation. We partner across engineering fields to bring new memory products from initial platform bring-up through qualification and readiness, helping develop the future of computing. In this role, you will validate Micron DRAM products on cutting-edge compute platforms and play a key role in ensuring system readiness before customer deployment. You will lead complex debug efforts, collaborate with internal teams and external platform partners, and use data-driven analysis to solve challenging technical issues. This hands-on position is ideal for an engineer who enjoys working in the lab, uncovering root causes, and driving issues through resolution. Responsibilities : Lead platform bring-up and system debug across server, client, and emerging compute platforms, including BIOS, firmware, memory training, and system stability Develop and implement memory validation plans to assess performance, compatibility, reliability, and platform readiness Drive failure analysis and root cause investigations, documenting findings, corrective actions, and readiness risks Partner with engineering, product, quality, and program teams to resolve technical issues and support pr

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Don’t miss the rocket ship—join Prophecy and build the next data revolution. Position Summary This is a high-impact opportunity to be a senior DevOps engineer in a fast-growing startup, based in Prophecy’s India engineering center. You will own and evolve the foundations that keep our engineering org fast, secure, and cost-efficient at scale — spanning cloud cost management, security DevOps, and CI/CD and engineering operations. You will work with a team of dynamic engineers who take pride in solving complex problems, and you will have the autonomy to set direction in your areas of ownership. The Impact You Will Have Cloud cost (FinOps) Own and evolve our cloud cost optimization program across AWS, Azure, GCP, Databricks, Snowflake and Bigquery building on the programmatic monitoring and controls Analyze billing, asset-inventory, and utilization data across departments to identify wasteful spend and provide actionable insights to optimize it. Develop and maintain cost optimization strategies, roadmaps, and forecasting models Partner with engineering teams to design cost-efficient architectures without compromising scalability or reliability. Build and maintain automation for infrastructure provisioning, scaling, and cost control. Security DevOps Partner with engineering and security to drive our security-hardening program across workstreams such as identity & access governance, secrets & credential lifecycle, cloud access, and CI/CD hardening. Implement and automate guardrails: secrets management, least-privilege access, cr

About the Team GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI models to real business workflows and build the systems that make those applications useful and dependable: customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight. Our work brings together software engineering, applied AI, product, data, and GTM operations. We measure success through the quality of customer engagement, pipeline, conversion, and the effectiveness of our sales and marketing teams. About the Role We're looking for an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs. This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure modes, improve how the system decides or acts, and validate the resulting impact. You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into safer, more effective agent behavior and measurable improvements in customer engagement, conversion, qualified pipeline, and team productivity. In this role, you will: Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes. Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context. Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows. Investigate why a

About Us: Comfrt is one of the fastest-growing direct-to-consumer brands, dedicated to blending mental wellness, inclusivity, and elevated comfort into every piece we create. Our mission goes beyond clothing — we strive to build a community where everyone feels supported and seen. About the Job: As our Quality Engineering Manager, you will own quality strategy across our Storefront, Internal Apps, and Mobile apps. You will lead a team of QA engineers, mentor them toward stronger technical and strategic practice, and partner with engineering, product, and design leaders to define how Comfrt approaches quality. We have a QA foundation in place, and this is a chance to build on it. We are looking for a highly technical leader who can set direction and stay close enough to the work to credibly guide it, across React-based web frontends, React Native mobile apps, and a serverless microservices backend on AWS. Responsibilities: Strategy & Leadership Define and drive QA strategy across the Storefront, Internal Apps, and Mobile pods, formalizing our practices into clear, documented standards, processes, and ownership Establish quality standards, including release readiness criteria, severity guidelines, and test coverage expectations Partner with engineering, product, and design leaders to embed quality into planning, development, and release Define and report on quality metrics, and use them to guide priorities Team Management & Mentorship Manage, coach, and develop QA engineers Mentor the team on test design, automation, accessibility, and effective use of AI tools Tooling & Process Evaluate and select QA tooling, including test management and bug tracking platforms, and lead its rollout Own test planning, test case, and regression processes across all pods Hands-On Quality Engineering Contribute to and review automated test suites using Playwright and TypeScript Guide API and integration testing for our serverless backend on AWS Partner with engineers o

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Machine Learning Engineer at Pinterest, you’ll develop and improve machine learning systems that power product experiences and discovery. You’ll partner with engineering, product and design teams to build, evaluate and iterate on scalable solutions that help Pinners find relevant, inspiring content. In this role, you’ll grow your technical expertise while contributing to reliable, high-impact systems. What you’ll do: Conduct applied machine learning research to address product and platform challenges at Pinterest. Collect, analyze and synthesize data to develop data-driven machine learning models. Write maintainable, efficient code and contribute to testing and code-review practices. Apply machine learning techniques, including natural language processing and graph-based approaches, to modeling and ranking challenges across discovery, ads a

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Solutions Engineer Interns work at the intersection of engineering, data and Pinterest’s advertising and revenue ecosystem. They contribute to scoped technical projects that improve tools, workflows, integrations and support experiences for internal teams, advertisers and partners. The role offers exposure to real engineering work, cross-functional collaboration and responsible AI-assisted workflows, including applying judgment and verification to AI-supported work. This is an opportunity for someone who wants to see how technology drives customer and business impact. You’ll partner with engineers, data and analytics specialists, product stakeholders and go-to-market teams; learn how ambiguous operational problems become reliable technical solutions; and gain hands-on experience across coding, debugging, data analysis, automation, documentation

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for Data Engineering interns who are excited to help scale the systems and pipelines that power decision-making at Figma. As an intern on our data team, you will partner with engineers and analysts to design and build reliable datasets, ensure data quality, and make Figma's data more accessible across the company. This internship will be based out of our San Francisco or New York Hub. What you'll do at Figma: Build, test, and document data pipelines that bring product or business data into Figma’s data warehouse Help design foundational datasets that are trusted, well-documented, and easy to use Optimize pipelines for performance and scalability as Figma grows Partner with cross-functional teammates to understand data needs and deliver solutions Contribute to the tools and practices that make working with data at Figma easier With support from a manager and mentor, you’ll own a scoped project from problem definition through implementation, testing, documentation, and sharing the results. Some projects you could work on: Develop new ETL jobs to integrate product or business data into our warehouse Improve the performance and reliability of core pipelines Build reusable datasets that support experimentation, product and business analytics, or cross-functional stakeholders Document and simplify complex data workflows for broader use We'd love to hear from you if you have: Experience coding in Python or a similar language and writing SQL queries Experience building or working with dat

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Content Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Enginee

About the team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. The Ecosystem team builds and scales third-party integrations around ChatGPT and Codex. We work across product, engineering, partnerships, safety, legal, policy, and go-to-market to create integrations that are useful, trustworthy, and technically sound. About the role We’re looking for an Applied Deployment Engineer to help build and deepen ChatGPT integrations with third-party messaging platforms. The initial focus will be on partner work as well as future opportunities with other messaging apps around the world. This is a hands-on, partner-facing engineering role. You’ll work closely with external product and engineering teams to improve existing integrations, expand capabilities such as image generation, increase retention, and translate partner needs back into OpenAI’s product and engineering roadmap. You should be comfortable writing code daily, making changes across platform or monorepo surfaces when needed, and moving fluidly between technical discovery, product tradeoffs, prototyping, debugging, and executive-level communication. This role is best suited for a strong product-minded engineer with excellent communication skills, sound technical judgment, and the ability to work across cultures, time zones, and organizations. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner with messenger app product and engineering teams to design ChatGPT-powered experiences that fit naturally into chat, group, contact, and app-tab surfaces. Deepen existing partner integrations, with an initial focus on improving user ex

CSQ427R195 As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors. The impact you will have: Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies. Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications. Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions. Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements. Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust. What we look for: 15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role 6+ years of experience working on Big Data Architectures independently 2+ years of experience working on AI based implementations includi