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

Lead AlphaSense’s global compensation function, including compensation strategy, job structures, base pay, incentives, equity, executive compensation, and annual review cycles. Partner with Finance, Legal, People Business Partners, and leaders on market competitiveness, pay equity, compliance, offers, promotions, and governance. Manage Workday compensation administration, support IPO and Compensation Committee readiness, and build and develop a global compensation team.

Owns the full sales cycle for existing financial services clients, focusing on upselling hedge funds, asset managers, investment banks, and sell-side research teams. Responsibilities include prospecting, pipeline development, client demonstrations, product trials, forecasting, closing sales, relationship management, and collaboration with marketing, product specialists, and product teams. The role requires consistently achieving sales targets and traveling to clients monthly or quarterly as needed.

Acquire new Financial Services clients, including hedge funds, asset managers, investment banks, and sell-side research departments. Manage the full sales cycle from prospecting and relationship development through product demonstrations, trials, forecasting, and closing. Build territory pipeline, exceed sales targets, partner with marketing and product specialists, support user adoption, and relay market feedback to internal teams.

Lead a team of 8–10 Account Managers responsible for customer renewals, retention, expansion, forecasting, and strategic account relationships. Coach and develop team members, improve scalable customer-management processes, reduce churn, identify growth opportunities, and collaborate with Customer Success and Sales. The role also includes recruiting talent, managing performance visibility, handling senior-client relationships and escalations, and shaping customer strategy through data-driven insights.

Own the end-to-end sales process for existing financial services clients, targeting hedge funds, asset managers, investment banks, and sell-side research teams. Responsibilities include upselling, prospecting new teams, conducting product demonstrations and trials, forecasting, pipeline development, closing sales, and maintaining client relationships. The role also partners with marketing, product specialists, and product teams to expand awareness, improve engagement, and communicate customer needs.

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.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Lead Customer Success Operations roadmap execution, scale processes and tools, own CS metrics strategy and reporting, manage a Senior Analyst, act as senior escalation for operational issues, partner cross-functionally (Product, Sales, Finance, BI), and operationalize scalable playbooks and governance for CS programs and QBRs.

Support Customer Success Operations by building and maintaining CS metrics and reporting (NRR, GRR, renewal, usage KPIs), partnering cross-functionally on complex deployments, and executing strategic CS programs. Serve as a go-to resource for account-level context, QA reporting, and initiatives like CS platform and usage-based pricing. Influence stakeholders, manage multiple priorities, and translate data into actionable insights for CS leadership.