Sr Forward Deployed Engineer in Seattle

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 SoFi is building an internal AI platform that will change how employees across the company work. It combines models, enterprise context, tools, memory, governed capabilities, and an extensible agent harness so teams can move beyond chat and apply AI to meaningful business workflows. You will work with the AI Platform engineering team, product leader, and subject-matter experts across the company. You will help departments reimagine how their work gets done, build the first workflows that make that future real, and turn what you learn in the field into durable platform capabilities. Because you will be the first person in this role, you will also define what forward deployment means at SoFi: how we discover opportunities, onboard departments, build and evaluate workflows, measure outcomes, support users, and translate repeated needs into platform investments. Your work will establish the technical and operating foundation for a broader AI enablement capability. This role does not have a playbook. It is an opportunity to write one and to define how applied AI changes the way work gets done across SoFi. This is a rare opportunity to shape both an enterprise AI platform and the organization that brings it to life. What You’ll Do You will operate as a product-minded engineer, platform architect,

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with t

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers. Job Responsibilities Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation , technical excellence, and continuous improvement across the organization. What You’ll Need to Succeed MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 10+ years of experience in machine learning, including production-scale deployments. 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training,

RDQ427R586 At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Lakehouse and Lakebase products are at the forefront of enabling customers to get more value from their data. Read this seminal blog from Databricks co-founders on What is a Lakehouse and A New Era of Databases: Lakebase . We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead these product areas into its next phase of growth. These roles come with ever expanding scope with critical responsibilities. You will get to choose if you can want to continue down the IC ladder or transfer to management ladder. Why Join Us? Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics . Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos. Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future. Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide. The impact you will have: Own and define the product vision, strategy, and roadmap for Databricks SQL Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. Drive competitive differentiation and positioning in the cloud data warehouse market. Collaborate with leadership to align product initiatives with business goals. Use data-driven insights to measure success, iterate, and improve user experience. What we look for: 5+ years of product management experience (preferably in cloud, analytics, or data platforms). Ability to break down complex problems into simple, scalable solutions. Strong sense of ownership —you thrive in ambiguity

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join Twitch's Product Core Engineering team and help power the future of our innovative, global platform. As a Sr. Engineering Manager for the Android Platform team, you'll play a pivotal role in shaping the strategic vision and execution for Twitch's cutting-edge mobile experiences. Our mission is to empower engineers to build delightful, secure, and reliable experiences for our passionate communities worldwide. You'll be a key driver of this vision, leading a talented team that delivers the core tools, services, and frameworks that Twitch Builders leverage to innovate on the Android platform. Collaborate cross-functionally to identify new opportunities, align on priorities, and deliver seamless mobile experiences that wow our users. Drive continuous improvement in the quality and performance of our Android apps and champion a culture of innovation that embraces diverse perspectives and moves boldly. This is an exciting opportunity to make a tangible impact on the Twitch platform and the millions of creators and communities we serve. If you're a seasoned Android expert with a passion for building game-changing mobile products, we want to hear from you! You can work from San Francisco, CA; Seattle, WA; or New York, NY. You Will: Craft an inspiring strategic vision for your team and

FEQ427R441 Sr. Solutions Architect The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale

RDQ327R182 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Are you a Developer Advocate who thrives in the spotlight, loves presenting and hosting events, and is genuinely hands-on with agentic developer tooling — the kind of person who has already wired up three coding agents and has opinions about what breaks? As a Senior Developer Advocate for Omnigent, you'll be a vital bridge between our engineering teams and the open source community forming around Omnigent, our meta-harness for AI agents. Omnigent sits one level above harnesses like Claude Code, Codex, Cursor, and Pi, giving developers a common interface to compose agents, govern them with contextual policies, sandboxing, and cost controls, and collaborate on live sessions from any device. Your focus is squarely on the open source project and the community around it: templates, demos, and reference implementations that developers can clone, fork, and extend, and the contributors who will help the project grow beyond us. This is a build-the-community role. Omnigent is early, and the people who adopt it now will shape what it becomes. You'll help developers integrate it into their own stacks, make it easy for new contributors to land their first pull request, and create the kind of momentum where the project's best advocates are people who don't work here. Your responsibilities will encompass a wide range of knowledge-sharing activities. You'll deliver engaging talks, host panels and meetups, create blogs

RDQ427R542 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Are you the person who is already at every AI meetup in the Bay Area — not to be seen, but because that's where the interesting conversations are happening? Are you a hands-on practitioner in generative AI, agents, and MLOps who can hold your own in a room full of AI engineers and leave them with something they can actually use? As a Senior Developer Advocate for AI and Machine Learning, you'll be the voice of Databricks in the Bay Area AI community and a crucial link between our engineering teams and the global community of data scientists and AI engineers. You'll focus on how practitioners build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform — with particular depth in Genie Agents, Genie Code, Genie One, MLflow, and Databricks Unity AI Gateway. You'll translate what you learn from customers and the community into reference implementations, demos, and content that are production-ready rather than merely impressive on stage. This is a role for someone who wants to be in the room. San Francisco and the wider Bay Area are the densest concentration of AI practitioners in the world, and we want Databricks to be present and useful in that community — at meetups, hack nights, demo nights, founder dinners, and the hallway conversations around them. You'll build genuine relationships with the people building the future of AI here, and you'll bring what you hear back to our pro

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Twitch's Commerce organization drives over $1B+ in annual payouts to creators through innovative monetization products. As we continue to evolve how streamers earn and how communities engage, we're looking for a visionary Sr. Product Manager to own the roadmap for supporting streamers through interactive, fun, and mobile-native commerce products. In this role, you will define and execute the strategy for helping streamers build deeper connections with their communities through interactive features and engaging monetization tools. You'll own products like Bits while exploring new ways to help creators earn, engage their audiences, and grow their channels. By focusing on streamer success and community connection, you'll help shape how millions of viewers support their favorite streamers across all devices. You can work from San Francisco, CA; Los Angeles, CA; Irvine, CA; or Seattle, WA. You Will: Lead the product vision and roadmap for interactive commerce products, delivering quick wins while building scalable infrastructure to help creators engage and monetize their communities Own the one-to-two year vision & drive prioritization for interactive features that help streamers connect with viewers, including Bits and future innovations in community engagement and creator monetizat

RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The impact you will have: You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. You will define how Repos integr

RDQ126R51 Mission At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future. We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful. The Impact You Will Have Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible. Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks. Work with academic and learning program partners to support data and AI education through Databricks. Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails. Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements. Define and track success metrics that measure learning engagement and user outcomes. What We Look For 5+ years of product management experience, preferably in data, AI, or developer-focused platforms. Strong customer empathy and passion for creating learning and onboarding experiences that empower users. Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams. Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts. Technical proficiency to collaborate effectively with engineering on data and platform capabilities. Pay Range Transparency Databricks is committed to f

RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform . What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features. This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic exec

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI. The impact you will have: Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet Turn breakthroughs into products : Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users. Expand what’s possible for customers : Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable. Be the voice of vision and execution : From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve. Build for scale and longevity : Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed. What we look for: 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms. Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional). Proven ability