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

The Senior Machine Learning Engineer leads technical direction for ML systems focused on personalization and ranking, overseeing architecture and implementation while mentoring team members.

Own end-to-end product design for Fetch’s consumer mobile Earning Experience, from problem definition through launch, experimentation, and iteration. Improve existing user journeys, translate complex user and advertiser needs into clear experiences, develop scalable design patterns, and use research, data, and experimentation to measure impact. Partner with Product, Engineering, Research, Data, and business stakeholders while managing multiple workstreams, communicating decisions, and mentoring junior designers.

Own sales enablement for SMB and Mid-Market teams by developing segment-specific sales motions, onboarding, playbooks, training, coaching tools, and package guidance. Partner with Sales, Product Marketing, Revenue Operations, and other stakeholders to simplify offerings, improve seller readiness, and reinforce field adoption. Use performance data, call insights, Gong, Salesforce, and AI-enabled workflows to measure proficiency, identify gaps, and improve productivity, conversion, and deal velocity.

Lead product design for Fetch’s Receipt & Rewards experience, connecting receipt capture, account linking, recognition, matching, and rewards. Define design strategy for complex, AI-enabled systems; improve usability, accessibility, trust, and experience quality; and balance user needs, data quality, business goals, and technical constraints. Partner with Product, Engineering, Research, and Data Science, drive cross-functional alignment, shape multi-quarter initiatives, and mentor designers.

Develop and maintain fraud operations SOPs, decision guidance, workflows, and documentation. Identify process gaps, analyze operational data and trends, coordinate process changes, and collaborate with Product, Engineering, Data, QA, Training, Support, and other teams to improve fraud review consistency, scalability, and efficiency. Support audits, retrospectives, training readiness, and post-launch follow-up for operational improvements.

Review user accounts and transactions to detect fraud using internal tools and SOPs. Make accurate, high-volume case decisions, escalate exceptions, meet productivity and quality KPIs, track time, and work weekends.

Lead Fetch’s U.S. benefits and wellness strategy, including healthcare, retirement, leave, accommodations, compliance, fiduciary governance, vendor management, analytics, and financial oversight. Build scalable infrastructure for a distributed workforce, advise executives on cost and coverage trade-offs, lead a benefits team, and partner with Total Rewards, Finance, Legal, Payroll, and People teams. Provide support on compensation strategy and escalations while ensuring transparent employee communications and strong regulatory controls.

Develops insight-led creative strategies, commercial narratives, pitches, positioning, packaging, and go-to-market plans for Fetch’s brand partners and platform capabilities. Partners with Sales, Product, Marketing, GTM, Creative, and Business Experience teams to create scalable offerings, lead workshops and executive presentations, build strategic frameworks, and mentor junior strategists. The role connects consumer insights, cultural trends, business priorities, and product capabilities to revenue-generating opportunities.

Own deal desk operations for complex revenue agreements, ensuring accurate contract setup, billing, revenue recognition, compliance, and data integrity across Salesforce, NetSuite, and related systems. Partner cross-functionally with Sales, Finance, Billing, Revenue Recognition, Implementation, and Systems teams throughout the Quote to Cash lifecycle. Manage credit evaluations, operational controls, process improvements, and two offshore Order Management resources.

Lead the strategy, roadmap, and lifecycle evolution of Fetch Play, expanding rewarded gaming into non-gaming apps. Own the user journey from discovery and installation through engagement, retention, and reward payout. Define KPIs, run experiments, develop personalization and native engagement mechanics, optimize reward economics, and manage fraud and attribution risks. Align Engineering, Design, Data, Marketing, Partnerships, and senior leaders while mentoring product managers and driving scalable consumer growth.