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

Provide high-trust executive support to C-suite leaders by managing complex calendars, travel, communications, meetings, and expenses. Own the San Francisco office, including vendors, supplies, maintenance, facilities coordination, budgets, invoicing, events, and offsites. Build workplace systems and standards from the ground up while serving as the primary resource for executives, employees, and visitors. This is a fully onsite role requiring discretion, judgment, and independent operational ownership.

Director of Legal will build and lead RZR’s in-house legal function, owning commercial contracting, DPAs, templates, negotiation playbooks, legal workflows, and outside counsel management. The role advises the CEO and leadership team, triages employment and general legal matters, supports sales and partnerships, manages disputes, and coordinates with parent-company legal teams. The position requires independent judgment under US law and may expand into a broader legal remit as the company grows.

Provides high-trust executive support for C-suite leaders, including complex calendar management, travel planning, expense reporting, communications, meeting preparation, and confidential information handling. Also owns San Francisco office operations, including vendors, supplies, facilities issues, events, budgeting, and invoicing. The role is fully onsite, requires building workplace systems from scratch, and serves as the primary point of contact for executives and onsite employees.

Lead and consolidate global People Operations across the US and EMEA, partnering with executive leadership on strategy, performance management, talent development, retention, employee relations, onboarding, compliance, and organizational design. Build scalable global processes, manage and grow the People team, enforce hiring and documentation standards, support international alignment, and improve workforce metrics during rapid expansion and M&A activity.

Leads global Customer Success and Account Management across the Americas, EMEA, and APAC. Owns revenue retention, churn reduction, account expansion, product adoption, forecasting accuracy, onboarding excellence, and customer health programs. Builds scalable account-planning, coaching, enablement, and handoff processes while serving as the customer voice to Product and Operations. Oversees global hiring, team development, and strategic relationships with executive clients in the mobile advertising ecosystem.

Design, build, and operate large-scale, fault-tolerant real-time and batch data pipelines powering an ad-tech DSP. Collaborate with engineers and data scientists to define data models and SLAs, optimize performance and capacity, enforce data quality and monitoring, mentor engineers, and evaluate new data technologies to scale analytics and ML workloads.

Serve as the technical bridge between Sales, Customers, and Engineering to support pre-sales consulting and post-sales implementation of the company's DSP. Guide integrations, troubleshoot campaign/data issues, manage technical deployments (tracking, audience ingestion, reporting), and provide product feedback, documentation, and optimization recommendations.

Serve as the COO's trusted partner to translate strategy into executable plans, lead end-to-end cross-functional initiatives, run analyses and decision memos, manage operating cadences, prepare executive materials, and drive outcomes without direct authority.

Lead end-to-end launch and operation of multiple new ventures from concept to monetization. Use AI-native tools to spec, prototype, ship, measure, and iterate rapidly. Own GTM, onboarding, pricing, analytics, and customer development while partnering daily with the CEO and coordinating small engineering teams.

Lead design and implementation of production ML systems for low-latency ad use cases (bidding, ranking, pacing, fraud). Build training and feature pipelines, real-time inference services, and ML team. Partner with engineering and product, own model experimentation, evaluation, monitoring, and deployment at scale.