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

Partner with Marketing and G&A leaders as a People Business Partner to drive retention, manager coaching, performance and career development, org design, headcount planning, and employee relations. Use people data to inform workforce strategy, collaborate with global People Team partners on compensation, benefits, and programs, and foster inclusive practices to improve day-to-day employee experience during growth.

Build AlphaSense’s enterprise customer education program from the ground up. Lead custom education and implementation engagements, advise clients on deployment and API-based adoption, define engagement scopes and success metrics, establish repeatable account-team processes, and demonstrate program ROI. Partner with Customer Success, Implementation, Lifecycle Marketing, and Revenue teams to increase platform usage, integration depth, and customer value. Occasional travel supports strategic accounts and key kickoffs.

Supports marketing campaign execution by building and managing programs, maintaining data accuracy, cloning templates, and populating campaign information. Performs quality assurance on Marketo programs, reinforces operational standards, and creates documentation and build guides. Manages stakeholder intake, supports change-management communications, and contributes to workflow, template, and process improvements across a growing global marketing organization.

Leads the strategy, architecture, engineering, governance, and evolution of Salesforce and the broader revenue systems ecosystem. Builds and manages a high-performing team of engineers, architects, administrators, and technical professionals; establishes modern development, CI/CD, testing, deployment, observability, security, and governance practices; owns platform roadmaps and architectural decisions; and drives AI adoption across development and operations. Partners with executives and cross-functional leaders to balance scalability, reliability, data quality, compliance, technical debt, and business priorities.

Leads AlphaSense’s Financial Services channel research coverage across banking, insurance, and fintech. Develops coverage roadmaps, channel-check frameworks, expert source strategies, and structured questionnaires. Guides analysts and operations teams on project execution, expert targeting, feasibility, and quality. Acts as the primary financial services domain expert, identifies new research opportunities, maps value chains, and partners cross-functionally to improve scalable AI-enabled research workflows and deliver differentiated, actionable insights.

Build and operate AlphaSense's identity platform across user management, authentication, and authorization. Design scalable RBAC/ABAC/ReBAC systems, integrate authentication patterns (OAuth/OIDC/SAML), implement SCIM provisioning, and expose GraphQL/gRPC/REST APIs. Partner with security on SOC2/GDPR compliance, drive platform roadmap, champion testing, observability, and reliability, and operate autonomously from North America in close collaboration with the Helsinki team.

Lead product marketing for premium content, proprietary data, and Tegus Expert Call Services. Own positioning, messaging, launches, GTM strategy, and sales enablement. Partner with Product, Sales, Customer Success, and Competitive Intelligence to drive awareness, adoption, pipeline, and expansion. Build and grow a high-performing PMM team, run market/customer research, translate complex capabilities into role-based value props, and create sales assets and operating rhythms to connect GTM with product.

Lead design and reliability of a financial data extraction platform, minimizing human validation through AI, and enhance system correctness for scale.

Lead the architecture and reliability of a financial data extraction platform, reducing human validation reliance by enhancing accuracy and scalability of systems while leveraging AI-driven solutions.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.