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

Design and run high-volume experiments across subscription and monetization experiences, including pricing, trial conversion, SKU routing, churn prevention, and win-back. Translate ambiguous briefs into testable hypotheses, collaborate with product, engineering, data science, and content teams, define success metrics, interpret results, and present learnings. The role requires strong visual and interaction design craft, animation skills, organized Figma files, proactive ideation, and effective use of AI and experimentation tools.

Manage Life360’s patent and trademark portfolios, including prosecution, enforcement, and outside counsel relationships. Advise on intellectual property matters involving patents, trademarks, trade secrets, licensing, open-source software, product development, and commercial transactions. Draft and negotiate IP-related agreements, support M&A due diligence, review marketing materials for compliance, and counsel cross-functional teams on strategic IP risks and opportunities.

Own and scale Life360’s programmatic advertising exchange and SSP capabilities. Responsibilities include exchange operations, reliability, roadmap and backlog management, monetization optimization, OpenRTB and header-bidding integrations, partner management, ad quality, incident resolution, and cross-functional alignment across Engineering, Sales, Marketing, Finance, Legal, and Business Development.

Leads MAU analytics and data science, managing decision scientists and data scientists while setting quality standards. Owns MAU driver modeling, forecasting, causal analysis, experimentation, and exploratory work supporting growth strategy. Establishes consistent analytical practices, partners with revenue, product, engineering, and data engineering leaders, and embeds the team in roadmap planning. Promotes AI-native workflows through coding agents, automation, and analytical tools while coaching team members into strategic advisors.

Leads marketing planning, operating rhythms, budgeting, and cross-functional process infrastructure. Owns long-range, annual, and quarterly planning; executive communications; workflow design; agency procurement; and real-time budget tracking. Partners with the CMO, Finance, and marketing leaders to align priorities, improve operational efficiency, control costs, and connect marketing execution to company objectives across global B2C and B2B teams.

Owner of Life360's unified organic discovery strategy across SEO, AEO/GEO, and ASO. Lead content strategy, site information architecture, technical SEO, structured data/AEO optimization, AI citation growth, regional localization, off-page authority, and performance reporting. Manage a content strategist and external agencies and partner with Engineering, Product, Marketing, and PR to execute technical and editorial initiatives that drive organic traffic and conversions.

Lead IT Operations and IT Engineering for enterprise identity, endpoint management, network infrastructure, collaboration tooling, and end-user services. Set strategy, SLAs, roadmaps, and metrics; hire and develop a high-performing team; partner closely with Security, Finance, People, and Legal; drive AI-native automation and productivity tooling; own vendor relationships, budget planning, and major incident escalation and migrations.

Quota-carrying seller focused on growing programmatic advertising revenue by prospecting agencies, DSPs, and direct buyers. Own full sales cycle: pipeline building, deal structuring (PMP, programmatic guaranteed), RFP responses, post-sale account management, and industry representation. Translate Life360 audience and inventory into revenue and share market insights with the broader sales organization.

Lead strategy and execution to grow Life360 subscriptions by defining membership architecture, pricing and packaging, partner monetization, freemium feature roadmaps, experimentation, and AI-native product practices. Drive revenue-per-member, partner integrations, and cross-functional delivery while advocating subscriber value and satisfaction.

Design, implement, and own a reusable on-device ML inference platform for resource-constrained devices. Integrate inference into RTOS firmware, develop drivers and DMA paths, debug on real hardware, train and optimize models for microcontroller-class hardware, and ship features to production while raising team expertise and using AI-assisted tooling.