Senior Partner Engineer Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services. PLEASE NOTE: The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance. AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL: Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness. Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry. Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhanc

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the MarTech pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Software Engineer II on MPE, you will build and improve high-traffic consumer web experiences while contributing to the experimentation, instrumentation, and marketing integrations that help Affirm understand and grow consumer acquisition. You will work in a modern web stack across React, TypeScript, shared component systems, testing, performance, and observability, with opportunities to develop deeper expertise in technologies such as Google Tag Manager, analytics and experimentation platforms, conversion tracking, and marketing APIs. You will partner with senior engineers as well as Product, Design, Marketing, Analytics, and Data Engineering to ship reliable experiences and ensure measurement and privacy requirements are considered during development. This role is a strong fit for an engineer who enjoys building polished web products, learning new technical domains, and taking increasing ownership of systems that operate at scale. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the MarTech pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Software Engineer II on MPE, you will build and improve high-traffic consumer web experiences while contributing to the experimentation, instrumentation, and marketing integrations that help Affirm understand and grow consumer acquisition. You will work in a modern web stack across React, TypeScript, shared component systems, testing, performance, and observability, with opportunities to develop deeper expertise in technologies such as Google Tag Manager, analytics and experimentation platforms, conversion tracking, and marketing APIs. You will partner with senior engineers as well as Product, Design, Marketing, Analytics, and Data Engineering to ship reliable experiences and ensure measurement and privacy requirements are considered during development. This role is a strong fit for an engineer who enjoys building polished web products, learning new technical domains, and taking increasing ownership of systems that operate at scale. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineer Grad, you will be part of a team that's building the future of data storage and management. You’ll apply your foundational knowledge to tackle challenging, real-world problems from low-level hardware to large-scale cloud systems. This role is a unique opportunity to directly contribute to mission-critical features that ensure our customers have a seamless, high-performance, and reliable data experience. WHAT YOU'LL DO Contribute to core product development: Take ownership of key tasks within the software development lifecycle, from ideation and design to implementation and testing. Innovate and solve complex problems: Research and develop solutions for challenges related to data efficiency, such as optimizing data deduplication and reclamation, or improving replication across wide-area networks. Enhance system performance and scalability: Work on projects that improve the performance of our software, ensuring it scales effectively with ever-increasing data volumes and hardware capabilities. Collaborate across teams: Partner with senior engineers and cross-functional teams to integrate new features and maintain a high standard of code quality through extensive automated testing. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved le

Build the systems behind everything Gallup sells online. As a software engineer on Gallup's Digital Commerce team, you'll help power every online purchase and customer interaction. Working across the full e-commerce stack, you'll create modern commerce experiences, design APIs and develop integrations that build a more flexible, scalable commerce platform. What you create today will influence how Gallup sells for years to come. If you're energized by solving difficult engineering problems, learning continually and seeing your code directly improve the customer experience, you'll thrive on this team. What You’ll Do Ship features primarily in TypeScript across Gallup's commerce platform, including catalog, checkout, subscriptions, gifting and enrollment Develop full-stack features using modern frameworks such as Hono and Astro, alongside serverless technologies Design and implement internal APIs that enable teams across Gallup to deliver commerce experiences Build and maintain integrations connecting commerce with payments, catalog, identity and other business systems Modernize and improve Gallup's commerce platform through thoughtful engineering Write clean, well-tested, maintainable code while improving developer tools, CI/CD pipelines and engineering workflows Partner with senior engineers to solve complex technical challenges while growing your own engineering expertise What Makes You Stand Out Strong fundamentals: You learn quickly, solve problems thoughtfully, and master new tools and concepts. Prior experience with our specific frameworks isn’t required, as we value strong engineering fundamentals and the ability to learn new frameworks. Continual learning: You expand your skills through new technologies, side projects, open-source contributions, books, courses or other self-directed learning. API depth: You understand what makes APIs intuitive, reliable and maintainable, and you're excited to deepen your experience designing them. Engineering versatility: You

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's Vancouver office is a growing hub of engineering talent, and we're looking for someone to shape how the team grows, stays, and thrives. As the Vancouver People & Talent Lead, you'll lead talent strategy for the site while serving as the people and office point of contact for the Vancouver site. This role sits at the intersection of talent strategy and organizational health. You'll work closely with Recruiting, People Business Partners, and Engineering leadership to understand what the Vancouver team needs to scale well, then build the programs, systems, and relationships to make it happen. The experience you create will be a direct expression of Roblox's investment in this team. You will report to the People Business Partner Lead supporting the Vancouver engineering organization. You Will: Talent Strategy Own full-cycle talent acquisition for the Vancouver site. Partner with Engineering leadership to define hiring strategy, recruit for senior and niche technical roles, build local talent pipelines, and support workforce planning as the team scales. Champion Roblox as an employer of choice in the Vancouver tech market through partnerships with universities,, and local indu

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are seeking a Staff Vulnerability Management Engineer to lead the most complex technical work in SoFi’s Vulnerability Management program. You will design and build scalable systems that identify, enrich, prioritize, route, and track vulnerabilities across applications, cloud and infrastructure, containers, software supply chains, and specialized hardware or firmware surfaces. This is a hands-on engineering role with broad technical influence: you will write production code, make architecture decisions, establish vulnerability management standards, and improve how teams understand and reduce vulnerability risk. You will partner with Engineering, Infrastructure, SRE, Compliance, Legal, and business stakeholders to accelerate remediation while protecting engineering velocity and customer trust. You will also serve as a senior technical responder for embargoed disclosures and zero-day events, lead root-cause analysis for high-impact vulnerability incidents, and mentor engineers. The ideal candidate combines deep vulnerability management expertise with strong software engineering judgment, systems thinking, and a bias for durable, measurable outcomes. What you’ll do Lead high-complexity vulnerability management initiatives and make architecture decisions for assigned program areas, from detecti

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. We are seeking an Engineering Manager to lead a critical area of Roblox Creator Success focused on Creator Analytics. This role requires strong technical leadership, sound engineering judgment, and the ability to lead through complex technical challenges. The ideal candidate brings experience in analytics platforms, experimentation systems, or large-scale data products, and is comfortable leading high-performing engineering teams. This role will be based in our San Mateo, CA headquarters (hybrid with Tues–Thurs onsite days). You Will: Own the technical direction and delivery of major investments across Creator Analytics systems. Set and uphold a high engineering quality bar. Lead a team of senior engineers across frontend, backend, and fullstack development. Drive alignment and execution across related partner teams including Product and Data Platform. Partner with senior engineering leadership to translate long-term technical strategy into durable roadmaps and execution plans. Help shape Creator Analytics into a best-in-class analytics platform for both emerging creators and professional developers. You Have: 8+ years of engineering experience, including work on large-scale and long-lived

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Agent Experience builds the AI-powered backend services that power agent-assist tooling on our Astra support surface — helping support agents resolve customer, merchant, and Dasher issues faster. We sit at the intersection of LLM-backed product features and high-volume, latency-sensitive support infrastructure. What you'll do Build and maintain backend services for agent-assist features on Astra, taking on feature-level work with increasing independence. Translate requirements into working code: design the feature-level approach, write an RFC when the change affects other engineers, and implement it end-to-end. Integrate with LLM-backed features — wiring up prompt/completion calls, handling provider responses, and validating output quality and correctness. Break down assigned project work into tasks, provide accurate estimates, and keep your own progress and dependencies on track. Apply AI tooling thoughtfully to your own workflow (coding, testing, review) and critically evaluate its output rather than taking it at face value. Participate in code review — both giving and receiving — to help the team hold a high bar for correctness, quality, and standards compliance. Collaborate with senior engineers and partner teams to clarify problem definitions, unblock yourself, and flag risks or blockers early. What we're looking for Solid backend engineering fundamentals in Go, with experience shipping and maintaining production services. Exposure to LLM-powered features in production (prompt/completion integration, provider APIs) is a plus — we'll ramp you up if you haven't worked with this directly. Ability to independently own feature-level work: from a

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

(GAQ427R231) About the role As Databricks scales at unprecedented velocity, how we invest our R&D capital—both human and compute—is critical to our scale. We are looking for a Product Finance leader to own R&D capital allocation and engineering operations. You will be a key finance partner to our senior Engineering and Product Operations leaders, with a mandate that spans product-level R&D ROI, global workforce and location strategy, and the rapidly evolving economics of AI-enabled software development. The impact you will have Drive product-level ROI and R&D capital allocation Establish frameworks to measure product-level ROI across a fast-moving platform like Databricks where engineering velocity is extremely high. Operationalize ROI metrics so they directly inform product investment and resource allocation decisions. Define engineering economics in the AI era Partner with Engineering to model how AI developer tooling and internal token spend scale alongside headcount, quantifying the tradeoff between human capital and compute capital. Measure the end-to-end cost of AI-enabled engineering, including the second-order impact on cloud spend, and partner with Engineering to optimize investments. Shape global workforce and location strategy Drive multi-year headcount planning across global engineering hubs, balancing cost per hire, talent density, and university recruiting pipelines. Partner closely with Workplace and Facilities leadership to synchronize R&D hiring roadmaps with global real estate strategy and multi-year CapEx planning. Scale R&D finance operations and build the team Bring systems-level thinking to R&D finance operations, building scalable, automated workflows across headcount management, PO planning, monthly accruals, and SOX audit compliance. Dogfood the Databricks platform to modernize internal finance tooling and deliver self-serve operational visibility to engineering leaders. Build, mentor, and scale a hi

Principal Consultant – Data Transformation & Technical Program Delivery Location: McLean, VA | Practice Area: Technology & Engineering | Type: Permanent Bring together data, technology, and transformation leadership to deliver complex programs that create meaningful outcomes for financial services clients. The Role As a Principal Consultant in Capco’s Technology & Engineering practice, you’ll lead complex data and technology transformation initiatives for financial services clients, taking programs from planning through implementation. You’ll combine a strong technical foundation with transformation delivery leadership, working across data engineering, data platforms, governance, analytics, cloud, and related technology initiatives. You’ll partner with engineers, architects, product owners, and senior business and technology stakeholders to turn strategic objectives into executable plans and drive programs through to successful delivery. This is a role for someone who can engage credibly with technical teams, understand what is being built, challenge assumptions, and identify dependencies while remaining focused on leading transformation and getting complex programs delivered , rather than acting as the hands-on engineer or solution architect. What You’ll Do Lead complex data and technology transformation programs, coordinating multiple workstreams across data engineering, platforms, governance, analytics, cloud, and related initiatives from planning through implementation. Partner with engineers, architects, product owners, and business and technology stakeholders to translate strategic objectives into executable plans, resolve blockers, and maintain alignment across teams. Establish effective program governance and maintain visibility across scope, milestones, resources, dependencies, risks, decisions, and business outcomes, providing clear executive-level reporting. Apply your technical understanding of modern data environments to challenge delivery a