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Lead Fullstack Software Engineer Jobs

6,876 active opportunities · Updated for October 2026

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Explore current lead fullstack software engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

SA
16 days ago

About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. Role Overview We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Saudi government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement—requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code. As a founding member of our regional team, you will help define how Scale AI shows up for some of the most ambitious public sector AI initiatives in the Gulf. If you thrive in fast-paced, high-impact environments and want to shape the future of AI in government, we would love to hear from you. What You'll Do Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery Serve as the primary technical point of contact for KSA government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences Design, build, and optimize full stack AI applications end-to-end, fro

awsrestmachine learning
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OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team OpenAI's Enterprise team builds AI-powered enterprise products and shared platform capabilities that help organizations put advanced AI to work securely and at scale. Our work spans enterprise workflows, agent experiences, integrations, identity, administration, security, governance, and deployment. About the Role As a Technical Program Manager on Enterprise, you will lead the technical strategy and execution behind the products and shared capabilities that make ChatGPT, Codex, and future OpenAI products useful, secure, and scalable for organizations. You will translate customer needs, competitive dynamics, and product priorities into actionable plans, influence architectural direction, and deliver durable capabilities across application, platform, and infrastructure layers. The role requires deep technical fluency, strong product judgment, and the ability to move between hands-on execution and broader enterprise strategy. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration. Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems. Translate enterprise customer requirements into actionable product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness. Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions. Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations

awsrestai
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D
1mo ago

Datadog is a best-in-class SaaS company delivering the rare combination of hypergrowth, profitability, and long-term market leadership. Built by engineers, for engineers, our platform is used by organizations of all sizes to drive digital transformation, cloud migration, and full-stack observability across their technology landscape. We enable seamless collaboration and problem-solving across DevOps and Security teams globally. Come join a high-performing team for the opportunity to learn from top leaders in the industry and grow alongside the company as we rapidly expand. About the Role Datadog is seeking a strategic, data-driven, and collaborative Head of Enterprise Sales to lead our organization in Japan to scale Datadog’s Strategic Enterprise and Public Sector business. This senior leader will own both the Enterprise and Public Sector strategy for their region, ensuring resources are deployed effectively to build pipeline creation, deal progression, and multi-product adoption across Datadog’s largest and most strategic accounts. This senior leader will be responsible for driving market expansion and establishing Datadog as a trusted strategic partner. Japan is a crucial market for Datadog’s growth, we have made a significant local investment with a local Data Centre, prominent real estate, more than 200 local staff to fully localize our products and services for Japanese customers. 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 Recruit, build and develop a world-class team of Enterprise Leaders and sellers Own Strategic Enterprise and Public Sector revenue contribution for your region and influence targets, ensuring consistent attainment across quarterly and annual targets Define and execute segment-level growth strategies across enterprise c

P
Peloton
📍 New York• Full-time• From $155.3K/yr
1mo ago

About the Role Join Peloton’s Global Network Services team as a Senior Engineer, sitting at the unique intersection of high-scale enterprise networking and high-stakes media production. In this role, you will architect and support the global infrastructure that powers our corporate offices, warehouses, and flagship New York Broadcast Studio. Acting as the key bridge between Global Cloud Engineering and Studio Operations, you will deploy highly resilient, scalable architectures that deliver live streaming content seamlessly to millions of members worldwide. Your Daily Impact Global Architecture & Deployment: Design, optimize, and secure Peloton's global network footprint, integrating Cisco, Meraki, Aruba, and Palo Alto Networks across hybrid on-premises and AWS environments. Studio & Broadcast Reliability: Lead deep-dive traffic analysis and troubleshooting for our NY studio, ensuring 24/7 uptime for live broadcasts, real-time video streaming, and OTT media delivery. Operational Leadership & Lifecycle Management: Manage the end-to-end network project lifecycle—from traffic shaping and SD-WAN optimization to establishing SOPs, security policies (with InfoSec), and handling Tier-3 disaster recovery. You Bring To Peloton Broad & Deep Network Expertise: 8+ years in Network Engineering, including 6+ years in complex SaaS environments and 4+ years designing public cloud networking (specifically AWS). Advanced Protocol & Security Mastery: Expert knowledge of L2/L3 protocols (BGP, OSPF, EIGRP), security protocols (IPsec, 802.1x, RADIUS), SD-WAN, and SDN/SDDC full-stack solutions. Media & Streaming Specialization: 3+ years optimizing IP networks specifically for live video delivery, utilizing multicast/unicast technologies and streaming protocols like HLS, RTMP, and SRT. Education & Elite Certifications: A Bachelor’s degree in Engineering or Computer Science, backed by active CCIE or JNCIE certifications (required). Collaborative Mindset: A curious

redisawsgit
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Coinbase
📍 - USA• Full-time• Remote• From $218K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Engineering Manager on the FINT (Financial Intelligence) team within FinHub in the Platform group, you'll lead the engineers building the account and transaction history infrastructure that underpins every Coinbase product. FINT owns the universal account primitive, the real-time transaction history engine, and the internal developer experience platform for FinHub. You'll guide your team through a critical inflection point: re-architecting these foundational systems for the next decade of scale while enabling new financial products like sub-accounts, retirement accounts, and agentic trading experiences. What you'll do: Lead and grow a team of 6 engineers across multiple levels, coaching on technical excellence, career development, and organizational impact Drive the re-architecture of core account and history systems to support new product primitives and higher throughput demands at Coinbase's next stage of growth Own the Finhub Tools roadmap, building internal UIs, dashboards, and agentic workflows that accelerate engineering and operations teams across the company Shape architectural decisions across distributed systems, streaming pipelines, and full-stack tooling, fostering a culture of high-quality code and thorough design reviews Collaborate with product, finance, and engineering leadership to define and execute a quarterly roadmap, breaking complex infras

REMOTEawsaigo
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D
Discord
📍 Remote• Full-time• Remote• $248K – $341K/yr
1mo ago

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We’re looking for a highly technical, hands-on, and empathetic Engineering Manager to lead one of our full stack squads in our Revenue organization. This is a high-impact role where you’ll be directly responsible for one of Discord’s major business lines, delivering premium experiences that create real value for users while driving company revenue . You’ll partner closely with Product to define and execute on long-term strategy, leading a full-stack team of engineers working across web, Android, and iOS. You’ll collaborate with cross-functional stakeholders to prioritize the most impactful work, guide the technical direction of the team, and jump into the code when needed. Whether you bring a strong background in growth or are an exceptional engineering leader excited about solving user-facing, high-leverage problems, this is a unique opportunity to shape Discord’s future. What you'll do Collaborate closely with your cross-functional team (Product, Design, Data Science, Marketing, 3P Partnerships and UX Research) to drive your team’s vision and roadmap. Lead a team of engaged full stack engineers by hiring, coaching, and instilling best practices. Use your technical expertise to make appropriate tradeoffs and ensure your team is designing scalable technical solutions and delivering high-quality products . Instill a culture that both drives impactful results and delights the end user. Set a strong pace for the team by fostering a culture of 80/20 thinking, shipping and iterating quickly, and making timely decisions even in ambiguous problem spaces. Make sound first-principle decisions around resour

REMOTErestaigo
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O
1mo ago

About the Team OpenAI's Enterprise team builds AI-powered enterprise products and shared platform capabilities that help organizations put advanced AI to work securely and at scale. Our work spans enterprise workflows, agent experiences, integrations, identity, administration, security, governance, and deployment. About the Role As a Technical Program Manager on Enterprise, you will lead the technical strategy and execution behind the products and shared capabilities that make ChatGPT, Codex, and future OpenAI products useful, secure, and scalable for organizations. You will translate customer needs, competitive dynamics, and product priorities into actionable plans, influence architectural direction, and deliver durable capabilities across application, platform, and infrastructure layers. The role requires deep technical fluency, strong product judgment, and the ability to move between hands-on execution and broader enterprise strategy. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration. Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems. Translate enterprise customer requirements into actionable product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness. Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions. Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations

awsrestai
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O
1mo ago

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role Forward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems,You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signal that influences the roadmap. Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help OpenAI learn through execution. This role is based in Abu Dhabi. 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 c

javascriptpythonjava
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OpenAI
📍 Washington• Full-time
1mo ago

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap. This role is based in Washington DC, Seattle or 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, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from

javascriptpythonjava
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team The Premium team owns some of the highest-leverage customer-facing levers in ChatGPT’s consumer revenue business, spanning the paid customer journey: helping users understand the value of paid plans, convert with confidence, and continue finding lasting value in their subscription. Our work is highly cross-functional, partnering with Product, Data Science, Design, FinEng, Finance, Legal, Support, and Marketing to improve free-to-paid conversion, renewal, customer lifetime value, and revenue while keeping the experience trustworthy, scalable, and low-friction. In This Role, You Will: Lead and scale an engineering team responsible for some of ChatGPT’s most important subscription and monetization experiences. Own the technical execution for Premium customer experiences across plan merchandising, paywalls, upgrade flows, checkout UX, plan management, renewals, downgrades, and cancellation. Partner with Product and Data Science to run high-quality experiments across upgrade, trial, renewal, downgrade, and cancellation flows. Improve key subscription metrics including conversion, renewal, churn, ARPU, and lifetime value. Build reliable customer-facing Premium experiences for purchase, plan management, renewal, downgrade, cancellation, and access-related states at scale. Partner closely with FinEng and other platform teams to evolve the billing, payments, and entitlement capabilities that power Premium experiences. Collaborate closely with Product, Design, Data Science, Finance, Legal, Support, and Marketing on monetization strategy and execution. You Might Thrive in This Role If You: Have 5+ years of engineering management experience, Have strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features. Have a track record of improving conversion, retention, or monetization through experimentation and data-driven product engineering. Are experienced with subscription products, plan merchandising

sqlawsrest
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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. Team Scope You'll lead a team of 10 engineers owning the Developer Experience for authoring data engineering workloads, reporting to the manager who oversees DEX across all geographies. Every place a data engineer writes, runs, automates, or debugs their work is something we build, shape, or contribute to: Workspaces — the primary browser-based, multi-file IDE in Snowsight. Full-stack: a React/TypeScript front end on top of our own backend platform. We are the single largest contributor to this surface in net-new feature capabilities. Cortex Code Desktop — the local, VS Code-grade development experience for building on Snowflake (CoCo). We develop DE-focused experiences inside of the Desktop editor as first-class experiences. Cortex Code CLI — the command-line developer experience for the same workflows, for engineers who live in the terminal. We develop skills that go out to customers, as well as frameworks and technologies internally to build and test the agent and skills more rapidly. Pipeline Observability UIs — the in-product monitoring surfaces for deployed pipeline objects in Snowflake The products you'll ship on those surfaces dbt Projects on Snowflake (GA) — build, run, schedule, and monitor dbt natively inside Snowflake, no external orchestrator. DCM (Database Cha

typescriptreactgit
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CA
16 days ago

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members across UK and India Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE As an Engineering Manager at Tide, you’re an experienced Full Stack Engineering Leader with strong people-management skills, comfortable operating at scale and driving impact through well-designed platforms. In this critical role, you will lead a cross-functional engineering team (comprising Backend, Mobile, and Web engineers) and partner closely with Product Management to own and lead our global In-Person Acquiring products. In-Person payments currently account for a significant majority (65%+) of our Acquiring revenue in key markets, making this a highly visible, high-impact domain. You will own the technical direction and end-to-end execution of systems that power our in-house ePOS solutions, Tap to Pay

pythonjavaangular
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CA
16 days ago

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members across UK and India Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE As an Engineering Manager at Tide, you’re an experienced Full Stack Engineering Leader with strong people-management skills, comfortable operating at scale and driving impact through well-designed platforms. In this critical role, you will lead a cross-functional engineering team (comprising Backend, Mobile, and Web engineers) and partner closely with Product Management to own and lead our global In-Person Acquiring products. In-Person payments currently account for a significant majority (65%+) of our Acquiring revenue in key markets, making this a highly visible, high-impact domain. You will own the technical direction and end-to-end execution of systems that power our in-house ePOS solutions, Tap to Pay

pythonjavaangular
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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 Powering the METCA AI & Sovereign Cloud Revolution As Everpure , we are transcending traditional storage to deliver the Enterprise Data Cloud - a unified architecture engineered to fuel the world’s most ambitious AI, Deep Learning, and HPC projects. The METCA region is a global epicenter for AI infrastructure investment, characterised by massive capital flowing into Tier-1 sovereign GPU clouds (CSPs, Neo-scalers) and enterprise AI factories. We are seeking a Battle-Trained, High-Conviction Hunting Systems Engineer (SE) to serve as our technical tip of the spear. This is not a passive, box-pushing relationship management role. You will partner aggressively with an Enterprise Account Executive to target, break into, and land the largest AI infrastructure projects in the market, displacing legacy architectures and securing net-new footprints. WHAT YOU'LL DO Execute High-Impact Hunting: Partner closely with Account Executives to actively map out and break into net-new enterprise accounts, sovereign GPU clouds, and high-performance computing clusters. Architect the AI Factory: Design high-performance, multi-tenant data pipelines. Move beyond basic storage architecture to design full-stack environments, optimising how data nodes interact within massive GPU fabrics. Drive Technical Consensus: Lead deep-dive architectural workshops with customer GPU cluster architects while simultaneously translating complex en

awskubernetesrest
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T
Taskrabbit
📍 New York• Full-time• From $170K/yr
18 days ago

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday. About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale. Taskrabbit's greatest growth opportunity lies in deepening customer relationships and accelerating repeat purchases. Our most valuable customers are those who return frequently, discover new service categories, and increase their spending over time. There's significant untapped potential in the marketplace: repeat customers spend 3-5x more than one-time users, and category expan

pythonsqldocker
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