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

Lead the architecture and development of enterprise analytics models, dbt transformation pipelines, semantic layers, and BI datasets. Apply dimensional modeling, data governance, quality testing, observability, and performance optimization to deliver trusted business data. Partner with executives and cross-functional teams, standardize metrics, improve legacy workflows, support AI/ML integrations, and mentor engineers. Own key domain models and contribute to the analytics platform roadmap as a technical leader.

Senior product analytics individual contributor embedded with product teams. Owns product measurement, metrics, funnels, experimentation, behavioral analysis, dashboards, tracking quality, and causal analysis. Partners with Product, Design, UX Research, and Data Engineering to influence roadmaps and decisions. Uses Claude and Claude Code to analyze data, automate workflows, build Streamlit tools, maintain semantic definitions, and support self-service analytics. Requires strong SQL, statistics, experimentation, dashboarding, and cross-functional communication skills.

Owns B2B pipeline and B2C growth analytics, including attribution, acquisition, registration funnels, organic search, forecasting, dashboards, experimentation, and marketing measurement. Partners with marketing, sales, product, data engineering, and leadership to define metrics, improve tracking, deliver actionable insights, and support data-driven decisions. The role also contributes to dbt models, semantic-layer development, analytical quality standards, and mentoring.

Manage a portfolio of K-12 customers, driving retention, renewals, expansion, and revenue growth. Build executive relationships, conduct onboarding and quarterly business reviews, present product demonstrations, negotiate contracts, identify cross-sell opportunities, and provide customer support. Partner with Customer Success, Sales Engineering, Product, and Analytics teams while maintaining reporting, understanding digital advertising performance, and serving as a customer feedback channel.

Leads a team of data engineers responsible for building and scaling Niche’s data platform. Oversees data pipelines, warehouse layers, platform reliability, data quality, monitoring, and engineering best practices. Manages roadmap execution, Agile rituals, cross-functional collaboration, hiring, mentoring, and career development. The role also drives process improvements, operational excellence, scalability, and delivery of secure, observable data solutions supporting analytics, reporting, content, and operational systems.

Leads a student-facing software engineering team while managing people, technical direction, architecture, delivery, and team health. The role combines hands-on coding, code review, technical debt ownership, pragmatic architectural decisions, AI-assisted development, and agile process improvement. The manager owns direct-report development, performance management, career growth, and team culture while partnering closely with Product to improve execution and learning.

Leads a 3–4 person Site Reliability team while remaining hands-on with software engineering, incident response, infrastructure automation, platform tooling, observability, disaster recovery, and modernization. Owns technical direction, reliability outcomes, technical debt, architecture, code reviews, hiring, performance management, career development, and team processes. The role participates in on-call and drives platform adoption, self-service, delivery quality, and effective AI-assisted development.

Niche seeks candidates for its Talent Community to connect for future job opportunities. Candidates can express interest, and the Talent Team will review profiles for matching roles.