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

Manages SMB client accounts and engagements to drive retention, upsells, revenue growth, and campaign success. Responsibilities include campaign launches, onboarding, reporting, performance analysis, client presentations, QBRs, billing accuracy, and consultative account strategy. The role coordinates with internal teams, translates campaign data into recommendations, manages renewals and growth opportunities, and uses Salesforce, AI, and automation tools to improve client delivery and operational efficiency.

Acquire net new SMB clients through prospecting, proposals, relationship building, and full-cycle sales. Own revenue and activation targets, manage Salesforce pipeline records, recommend advertising campaigns, coordinate deal execution, and collaborate with account management, industry, ad operations, analytics, and implementation teams. Use AI-enabled tools to improve research, prospecting, meeting preparation, forecasting, and sales efficiency.

Leads Fetch’s centralized Operations Analytics team, establishing standards, operating models, KPI definitions, dashboards, and reporting practices. Manages and develops Operations Data Analysts, partners with senior operational leaders, and delivers insights supporting strategy, staffing, process improvement, and decision-making. Oversees reporting in Hex, Tableau, and Grafana; improves data quality and automation with engineering; and translates ambiguous operational data into measurable recommendations and business outcomes.

Lead a small data science team while remaining hands-on in building advertising audience, measurement, ranking, and data-feed models. Set technical direction, apply causal inference and experimental design, build scalable production systems, mentor scientists, and partner with product, engineering, sales, and business development teams. Translate campaign data into trusted measurement products, influence senior leaders and customers, and establish Fetch’s methodology as a market standard.

Executive-level operator partnering with the CTO and CPO to drive technology and product planning, portfolio governance, resource allocation, executive cadence, strategic initiatives, and cross-functional alignment. The role improves decision velocity, manages risks and dependencies, operationalizes AI tooling, and connects technology investments to business outcomes across engineering, product, AI/ML, growth, and monetization teams.

Leads the strategy, development, and growth of consumer advertising products across dining, shopping, offers, rewarded media, and surveys. The role owns portfolio roadmaps, validates new business opportunities, scales monetization, defines KPIs and experiments, and partners cross-functionally on launches and integrations. It also manages and coaches product managers while maintaining hands-on ownership of strategic initiatives, including AI-enabled commerce experiences.

Leads the Customer Experience Insights function, transforming user feedback, support interactions, behavioral analytics, and business data into product recommendations. Establishes operating models, develops insight analysts, influences product strategy, defines outcome metrics, builds knowledge systems, and partners with Product, Engineering, and Growth Marketing. The role connects user experience improvements with measurable business outcomes while using AI and advanced analytics to identify friction and improvement opportunities.

Own Fetch’s executive operating system in partnership with the COO. Build and manage performance metrics, OKR frameworks, leadership cadences, reporting infrastructure, decision processes, and executive communications. Drive cross-functional alignment, accountability, and execution across high-priority initiatives while synthesizing complex inputs into actionable recommendations for senior leadership.

Evaluate LLM and automation outputs for accuracy, consistency, and reliability; create annotations and training datasets; research ambiguous cases; support product recognition and classification models; and use AI tools to improve operational efficiency. The role also involves maintaining model and catalog quality through mapping and classification work.

Own the Expanded Core business P&L, financial models, forecasts, reporting, and data infrastructure. Lead monthly, quarterly, and annual forecasting, variance analysis, SQL-based data validation, and strategic business analysis. Partner with leaders on investment, headcount, expense, margin, and ROI decisions, translating financial performance into narratives for executives, investors, and board forums. Mentor junior finance team members while operating independently in a fast-paced environment.