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

The Marketing Scientist will analyze internal and external data to generate insights, benchmarks, research, and narratives that power content, thought leadership, sales enablement, and executive storytelling. Responsibilities include managing a content insights backlog, validating data, partnering with marketing and analytics teams on segmentation, testing, and attribution, and managing research and data vendors. The role requires translating complex analysis into compelling visual and written content while promoting evidence-based decision-making across marketing.

Manages full-cycle recruiting for corporate, marketing, engineering, and product roles. Partners with hiring managers to define roles, build scorecards, and establish interview processes. Sources candidates, builds diverse pipelines, manages candidate experience, maintains ATS data, tracks recruiting funnel metrics, and uses AI to improve sourcing, screening, outreach, research, and reporting. Represents the employer at industry events and contributes to employer branding and recruiting process development.

Design brand, web, campaign, social, presentation, event, and demand-generation creative. Use Claude Code and Claude Design with Figma to ideate, prototype, and produce work. Build scalable design systems, create motion and AI-assisted animation, visualize complex data, develop presentations and sales materials, and contribute to Framer-based web and campaign builds. Collaborate with Marketing, Sales, Product, and leadership while managing multiple projects and maintaining high creative standards.

Assists with revenue accounting under GAAP and ASC 606, including order-to-cash activities, contract reviews, sales orders, revenue schedules, journal entries, reconciliations, invoicing, forecasts, month-end close, audit support, and procedure documentation. Collaborates with legal, sales, business development, customers, and auditors to resolve discrepancies and ensure accurate revenue reporting.

Lead the identity infrastructure and data connectivity strategy at Samba, collaborating with teams to enhance audience targeting and data interoperability.

The Data Scientist role involves developing measurement models, writing production-quality code in Python, and collaborating with teams to optimize data pipelines and ML workflows.

Lead design and implementation across an AI-powered full-stack product: architect the AI/agent backend, extend Node/TypeScript service layer, build streaming React UIs, handle streaming/async state, ensure testing and observability, mentor engineers, and ship production-grade systems at scale.

The AI Enablement Engineer will build and deploy AI agents, design intelligent workflows, and collaborate with teams to improve processes using AI technologies.

Lead and grow a TPM function, define operating models and governance, and personally drive end-to-end execution of the companys most complex cross-functional ad tech programs. Hire and mentor 2-4 TPMs, align roadmaps with product and engineering, enforce risk and dependency management, champion Agile/SAFe, ensure privacy/compliance inputs, and represent program health to executive leadership.

Own end-to-end full-stack features: frontends, backend services/APIs, analytical SQL over large datasets, data pipelines/caches, multi-cloud integrations (GCP/AWS), and auth systems. Ship production code with strong testing, observability, and reliability; participate in architecture reviews and mentor junior engineers.