Top Tech Jobs & Startup Jobs

Owns intake, planning, and execution of fulfillment product features, enhancements, and defect resolution for the Shopper app. Partners with technology, data science, economics, design, engineering, and operations teams to improve fulfillment quality, delivery tooling, onboarding, earnings tracking, and worker engagement. Uses data, AI-native practices, storytelling, and technical judgment to make product decisions and influence stakeholders.

The Senior FP&A Manager will guide strategic financial decision-making, create business cases, and benchmark operational performance while partnering with stakeholders across the organization.

Manage lifecycle of enterprise SaaS tools (Slack, Zoom, Google Workspace, M365), drive AI adoption (Slack AI, Google Gemini), build automated release pipelines, enforce data governance and RBAC, replace redundant tooling, lead cross-functional projects, and serve as tier-3 escalation for platform reliability and automation.

Lead development of customer-facing mobile features using React Native and native iOS/Android. Own architecture, observability, CI/CD, testing, and production incident response. Mentor engineers, drive technical direction, and collaborate cross-functionally to deliver performant, accessible mobile experiences, leveraging AI-assisted workflows.

Build and re-architect Shipt's LLM-native search stack including retrieval and ranking systems. Design multi-task and multi-objective models, integrate personalization signals, develop hybrid dense/sparse retrieval, and apply generative retrieval and query expansion. Analyze search data, report findings to leadership, and partner with senior scientists and ML engineers to improve relevance, revenue trade-offs, and operational metrics.

Lead a 7–10 person data science team for Marketplace Product, define analytics vision, build agentic AI and GenAI workflows, drive consumer analytics, experimentation and causal analysis, partner with senior leaders to translate insights into product improvements and operational efficiencies.

As a Staff Machine Learning Engineer, you will design and implement AI-driven solutions, build ML infrastructure, and lead teams to deliver scalable systems for real-time recommendations.

Build and deploy geospatial ML models using large-scale GPS, mapping, and routing data to improve final-mile logistics. Collaborate with product, operations, and engineering to design experiments, translate spatial insights into operational decisions, and productionize models and data systems.

Lead development and deployment of cutting-edge ML models for pricing, design and analyze experiments, collaborate with product and engineering, present findings to stakeholders, and lead technical projects to influence team output and business metrics.