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

Own Amplitude’s social media strategy and editorial calendar across priority channels. Create social-first content, translate complex AI and analytics topics into compelling narratives, support executive and thought-leadership communications, identify timely trends, and analyze performance data to improve engagement and distribution. Collaborate with content, brand, communications, product marketing, designers, executives, and subject-matter experts.

Build and operate AI-first full-stack applications, internal tools, service connectors, automations, and data products supporting business functions. Translate operational and financial reconciliation needs into scalable software solutions, integrate business systems, improve engineering processes, and own products across the full lifecycle. The role requires production engineering experience, data warehouse and SQL expertise, and familiarity with frontier AI tooling, with opportunities to evaluate LLM systems and work with platforms such as Snowflake, dbt, and enterprise business applications.

Own the administration, configuration, architecture, support, integrations, security, data quality, and release management of Salesforce and connected GTM platforms. Manage CPQ and quote-to-cash workflows, troubleshoot escalated issues, develop Apex solutions, maintain environments, conduct audits, and partner with cross-functional stakeholders to deliver scalable roadmap initiatives.

Analyzes marketing performance, funnel trends, attribution, pipeline, productivity, and ROI to guide strategic decisions. Builds dashboards and reporting frameworks, leads end-to-end analytical projects, translates ambiguous questions into actionable recommendations, and improves data quality, governance, and reporting systems. Partners with Marketing, Sales, Customer Success, Finance, and analytics teams in a B2B SaaS environment.

Own product surfaces end to end, shaping product and technical direction while building scalable, high-performance experiences across React, Next.js, and Node.js. Lead ambiguous initiatives from ideation through production, improve engineering quality and UX, use AI tools to accelerate development, mentor engineers, and deliver customer-facing value for experimentation and digital optimization products.

Lead a multidisciplinary team building data ingestion, distributed computation, and statistical engines for experimentation. Set technical and scientific direction, translate statistical methods into scalable production features, evolve architecture for complex experiment designs, and partner with product, data scientists, and customers to operationalize trustworthy experimentation.

Lead strategy, vision, and execution for Amplitude’s AI agents and MCP products. Define 12–24 month priorities, improve agent quality through evaluations and feedback systems, expand MCP integrations across coding agents, CLIs, and IDEs, engage customers to identify use cases, and enable field teams to position and support agentic products. The role partners closely with design and engineering while serving as an internal and customer-facing thought leader on agentic product development.

Own technical outcomes for key enterprise customers by diagnosing production issues, answering technical questions, fixing bugs, shipping features, and coordinating urgent responses. The role requires backend or infrastructure depth, strong debugging skills, production observability experience, and clear communication. The engineer will identify recurring customer problems, improve tooling, documentation, APIs, and product surfaces, and help establish standards and culture for a new Enterprise Engineering team.

Lead frontend platform architecture, performance, and developer experience. Build/maintain build systems, CI/CD, tooling, and shared component infrastructure. Drive AI-agent/LLM-powered automation to remove engineering bottlenecks, set technical direction, mentor senior engineers, and partner cross-functionally to scale frontend productivity.

Serve as the technical lead on strategic enterprise deals: run technical discovery, design and execute hands-on proofs-of-concept, address data architecture and privacy objections, present ROI to executives, collaborate with Product and Customer Success, and mentor junior SEs while contributing competitive intelligence and reusable demo assets.