Top Senior Level Jobs in San Francisco Bay Area, CA

Lead origination, evaluation, structuring, negotiation, and integration of acquisitions, strategic investments, and JVs. Maintain deal pipeline, coordinate cross-functional diligence and approvals, produce recommendation memos and board materials, and provide strategic competitive intelligence and mentorship to the corporate development team.

As a Lead Technical Recruiter, you'll oversee all aspects of recruitment for technical roles, leveraging AI tools for sourcing and training hiring managers, ensuring data-driven decisions in a collaborative environment.

The Senior Staff Software Engineer will lead the architecture and implementation of AI-powered developer tools and workflows in a cloud environment. Responsibilities include mentoring, driving innovation, managing project delivery, and fostering a culture of continuous improvement.

Lead full-stack development of the signup-to-activation experience, inventing and shipping 0-to-1 AI-driven onboarding features across web, messaging channels, and third-party AI assistants. Collaborate with product, design, and data, mentor engineers, scope rapidly, and measure/iterate to improve activation metrics.

Lead paid social and emerging channel strategy and execution, managing multi-million dollar budgets and full-funnel campaigns. Design and run experiments, own creative testing and AI-powered workflows, partner cross-functionally on landing pages and launches, and measure paid acquisition impact on pipeline and revenue.

Provide securities law counsel for a public company: prepare and file SEC reports (10-K, 10-Q, 8-K, registration statements), support proxy and shareholder meeting logistics, advise on insider trading/Rule 10b5-1 and Section 16 filings, review external communications for Regulation FD compliance, monitor securities law developments, train employees, and support corporate governance matters.

Build and operate Go-based backend services and APIs to manage hardware lifecycle (RMA, data center operations, node repairs). Design scalable, reliable microservices, integrate vendor APIs, manage databases for operational and reporting use cases, and deploy/operate services on container platforms.

Design, build, and operate large-scale data ingestion, storage, and query systems for AI/ML experiment tracking. Architect and optimize distributed backend services (petabyte-scale), implement customer-facing APIs, run services on Kubernetes/cloud, diagnose production issues, lead architectural initiatives, and mentor junior engineers.

Own post-sales technical relationships for a small portfolio of strategic enterprise customers. Drive incident triage and remediation, deliver proactive architectural guidance and cost optimization, scope and orchestrate Vercel engagements, represent the customer internally, and ensure TAM engagement renewals and customer success metrics.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

Lead end-to-end brand and product launch projects, own video production and shoots, manage scope/budgets/schedules, build timelines and creative workflows, manage agency relationships, and partner cross-functionally to deliver high-volume, multi-workstream creative assets on time.

Lead and scale executive communications for the Office of the President, build a company-wide executive comms program, translate complex technical topics for varied audiences, integrate generative AI into workflows, prepare and coach the executive for appearances, craft keynotes/op-eds/internal and external messaging, and collaborate cross-functionally with PR, IR, and employee communications.

Lead strategic sourcing and supplier management for corporate services. Partner with HR, Facilities, Legal, Finance, InfoSec, and others to run RFx events, negotiate commercial terms, manage supplier performance, reduce risk, and deliver measurable savings and cost avoidance while enabling timely business decisions.