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

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.

Lead go-to-market strategy and execution for Jane's AI-powered platform products, drive pricing and packaging, develop positioning and messaging, run cross-functional launches, translate customer insights into product direction, and represent the company at industry events to drive adoption and revenue.

Own the payments risk function for Jane's embedded payments platform. Responsibilities include merchant risk policy, underwriting, transaction monitoring, loss and risk reporting, dispute strategy, escalation and offboarding decisions, card network and Stripe compliance, and systems/tooling strategy. The role requires building scalable, AI-forward risk operations while balancing fraud prevention, compliance, financial losses, and customer experience.

Lead design and implementation of Jane's customer data infrastructure: own event collection, pipelines, CDP tooling, schema governance, identity resolution, and attribution. Work cross-functionally with marketing, BI, product, and engineering to set standards, evaluate tooling (e.g., RudderStack), ensure privacy-compliant instrumentation, and build reliable, consistent data delivery to the warehouse.

Lead SMB and self-serve demand generation across paid media, website strategy, SEO, AEO, lifecycle marketing, and AI-driven growth initiatives. Manage a team of channel experts, optimize acquisition and activation with Growth Product, define measurement and attribution strategies, collaborate with Sales and Support, and build scalable programs that drive revenue and customer growth.

Own the marketing website strategy and roadmap, align content/design/engineering, run CRO/A-B testing and experimentation, drive SEO/answer-engine presence, analyze analytics and web tagging to improve discovery and conversion, and partner with product marketing and platform teams to deliver a coherent, high-performing web experience.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.

Build and operate the core BI platform: own ingestion, integration, modular dbt pipelines, and enterprise data models. Establish data quality, testing, governance, observability, and CI/CD. Monitor platform health, certify pipelines and data products, and mentor analytics engineers to enable trusted, self-service analytics and AI-augmented workflows.

Lead strategic growth analyses and modeling across marketing, pricing, and go-to-market initiatives. Own end-to-end analyses from problem structuring to executive presentation, forecast and monitor performance, design data sourcing, partner across Marketing and GM teams, and build repeatable frameworks and self-serve tools to drive growth decisions and implementation.