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

Own the vision, strategy, and multi-year roadmap for B2B revenue automation in Sales Cloud. Lead account-based marketing, buying groups, coordinated sales and marketing plays, and the Buyer Engagement Agent. Partner with engineering, design, data science, marketing, pricing, sales, customers, and executives to deliver enterprise AI products, drive adoption and pipeline, and mentor product managers.

Leads technical direction for high-scale digital wallet and usage-metering systems. Designs distributed architectures, delivers cross-service features, defines reliability and rollout strategies, owns production operations, and ensures consumption and billing accuracy. The role drives technical vision across teams, manages technical debt, leads design and code reviews, mentors senior engineers, resolves cross-team integration issues, and communicates architecture and strategy to executive stakeholders.

Leads product strategy, lifecycle management, roadmap development, backlog prioritization, and delivery for Salesforce SEO and taxonomy services. Oversees AI- and content-based capabilities such as autonomous cross-linking, redirect resolution, and auto-tagging. Drives stakeholder collaboration, complex parallel project delivery, agile execution, customer-focused innovation, and team development across global teams and partners.

Leads Salesforce monetization strategy, including pricing, packaging, commercial models, market research, product usage analysis, and revenue optimization. Partners with product, marketing, finance, sales, and executive stakeholders to shape offerings, resolve complex strategic decisions, influence pricing direction, and drive cross-functional execution. May manage pricing strategists and maintain executive relationships.

Lead vision, strategy, and roadmap for Missionforce public sector and defense products. Drive product architecture, compliance with government security standards, cross-functional delivery, GTM and pricing, customer validation, and measurable product outcomes. Coordinate with engineering, UX, security, legal, FDEs, and partners to launch and scale secure AI-enabled solutions for government missions.

Leads the full M&A integration lifecycle for Sales and Post-Sales, including diligence, integration planning, interim operations, and go-live execution. Partners with Corporate Development, Finance, Product, Sales, Success, Professional Services, and executives to establish GTM operating plans, align revenue and bookings assumptions, manage acquisition portfolios, and achieve integration goals. The role requires strong strategic analysis, executive influence, cross-functional leadership, operational excellence, and expertise in Salesforce CRM, lead-to-cash processes, SQL, Snowflake, and Tableau.

Design, build, and operate secure, scalable data infrastructure for Slack’s analytics, machine learning, and data workflows. Own core services such as Pinot, Trino, Airflow, Spark on Kubernetes, EMR, and Hive Metastore, ensuring reliability, observability, performance, and cost efficiency. Develop automation and self-service tools, collaborate across engineering and security teams, establish technical standards, and mentor engineers. Support AI-forward data platforms and agentic workflows at scale.

Design, develop, operate, and improve telemetry agents, instrumentation libraries, and distributed observability services at Salesforce scale. Build scalable, reliable systems across cloud and Kubernetes environments, supporting metrics, logs, traces, and events. Own production operations, fleet safety, efficiency, and reliable rollouts while collaborating with engineering, product, and design teams. Present technical work, write maintainable code, and solve complex problems using engineering best practices.

The role involves selling Salesforce's Customer 360 Platform, uncovering business needs, influencing buying decisions, and generating revenue through account management and new client acquisition.

Lead the design and operation of Salesforce and Qualified’s data platform, including data models, ETL pipelines, event streaming, analytics infrastructure, APIs, and enterprise-scale data flows. Establish data quality standards, observability, and reliability practices while delivering complex initiatives from design through production. Partner with product and engineering leadership, mentor engineers, and shape architecture for AI-powered products requiring fresh, trustworthy data.