Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own Taskrabbit’s global commerce platform covering client payments, Tasker payouts, payment reliability, compliance, and cost optimization. Lead backend engineering initiatives, prioritize the roadmap, investigate payment issues, improve conversion and payout speed, and partner with Finance, Accounting, Tax, Support, Risk, and Legal. The role requires deep B2C payments expertise, systems-level understanding, strong prioritization, stakeholder management, and independent execution.

Lead the architecture, integration, and adoption of Taskrabbit’s experimentation and feature-flagging platform. Build high-performance TypeScript APIs and foundational services, integrate with Ruby on Rails systems, and improve platform reliability, scalability, and developer experience. Mentor engineers, establish experimentation strategy with product and engineering leaders, and advise senior leadership on architecture and platform initiatives.

Lead the architecture and adoption of shared platform capabilities, including authentication, identity, event-driven systems, and API infrastructure. Build TypeScript APIs and foundational services, integrate with Ruby on Rails systems, improve performance, reliability, security, and developer experience, and guide technical strategy. Mentor engineers and partner with product and engineering leadership to deliver scalable platform initiatives.

Senior Full Stack Engineer responsible for architecting and delivering AI-driven backend and frontend systems. The role leads complex technical initiatives, defines roadmaps, designs scalable APIs and data models, and champions JavaScript, Node.js, testing, observability, and Spec-Driven Development. It requires building and scaling distributed, event-driven microservices; working with financial infrastructure; mentoring engineers; and translating ambiguous business objectives into reliable technical solutions.

Leads Taskrabbit’s visual identity and art direction across campaigns, marketing, product, and partner channels. Directs photo and video productions from concept through post-production, develops scalable visual systems and brand guidelines, creates cross-channel assets, and maintains the asset library. Partners with creative and business teams, coaches designers, introduces efficient workflows, and uses performance insights to optimize creative. The role combines strategic campaign concepting with hands-on visual design and production leadership.

Build and maintain scalable dbt data models, transforming raw data into trusted, documented datasets. Own warehouse data modeling and metric definitions, establish testing and code review standards, monitor data quality, optimize query performance, and troubleshoot reporting discrepancies. Partner with engineers, analysts, and business stakeholders to translate business needs into reliable pipelines. Mentor junior engineers and contribute to technical best practices and tooling decisions.

Lead data science initiatives supporting Product and Commercial Operations. Analyze growth opportunities, define success metrics, conduct experimentation and causal inference, and deliver actionable insights. Lead initiatives such as experimentation systems and data agents while promoting strong analytical practices. Partner with stakeholders to drive measurable product impact, minimize marketplace losses, and communicate complex findings to executive audiences.

Drives platform modernization across engineering teams by applying target-state architecture, AI-assisted development, and Spec-Driven Development. Partners directly with engineers and technical leads, contributes code and technical designs, guides migration strategy, reviews TDDs and RFCs, establishes engineering standards, and coaches teams on scalable backend, distributed-system, and event-driven architecture practices.

Lead the end-to-end development and operation of machine learning systems supporting customer retention, ranking, matching, recommendations, pricing, and lifetime value growth. Build scalable data pipelines and ML infrastructure across batch and real-time environments, while implementing model monitoring, observability, deployment, and performance optimization. Collaborate across engineering and science teams and promote strong software engineering practices.

Own and architect the core ranking system end-to-end: model design, production reliability, automated retraining, bias mitigation, personalization, and cross-functional technical leadership. Mentor engineers, drive roadmap, and scale experimentation and ML infrastructure.