You will lead a team of five Executive Assistants while providing direct support to 2-3 executives. Your role involves setting operational standards, managing team performance, and acting as a strategic partner to align executive priorities with company goals.
Lead annual and long-range planning processes for global subscription and advertising businesses while developing monthly forecasts. Build strong business partner relationships and provide strategic financial modeling to support leadership decision-making.
You will define the vision, strategy, and roadmap for authentication and identity services to ensure secure and effortless member access globally. You will also partner with security and engineering teams to build layered defenses against threats like account takeover and credential stuffing.
Lead engineering teams in building and operating critical platforms including location, messaging, cloud infrastructure, and identity services. Set technical direction, modernize legacy systems, and foster a culture of ownership while partnering with cross-functional leaders to drive business outcomes.
Design, build, and maintain premium features and monetization surfaces for the Life360 mobile app while ensuring high quality and performance. Collaborate with product and design teams using AI-native workflows to ship features that support over 100 million monthly active users.
Lead and scale the AI Platforms team to build shared foundations for model access, agent tooling, and infrastructure. Partner with cross-functional teams to evolve the Agentic PDLC and integrate AI-powered features into the product at scale.
Design and build high-quality Android growth and monetization features while utilizing AI-native workflows to ship experiments at scale. Partner with cross-functional teams to translate hypotheses into actionable experiments and own the end-to-end delivery of features.
You will own the end-to-end path from identifying revenue opportunities to deploying production machine learning models for Life360's direct revenue business unit. This involves partnering with cross-functional teams to scale production ML, set roadmaps, and mentor other data scientists.
The Associate Legal Counsel will advise product, engineering, and marketing teams on privacy, consumer protection, and content regulation within the ad-tech space. They will serve as the primary legal contact for Ad Sales and Ads Product Managers to ensure compliance and support product development.
Design and build high-quality Android growth and monetization experiments while leveraging AI-native workflows to iterate rapidly. Partner with cross-functional teams to translate hypotheses into shippable features and maintain high performance standards across the app.
Design, build, and maintain backend services that support device connectivity, telemetry ingestion, and command operations within a microservices environment. Collaborate with cross-functional teams to define APIs and leverage AI-native workflows to ship scalable, resilient features.
You will design and build end-to-end features across the full stack while establishing AI-native engineering workflows for the team. You will also collaborate with product and design teams to deliver scalable solutions for aging parents and other member segments.
The Senior Product Designer II will design and execute high-volume experiments across subscription and monetization surfaces to drive revenue growth. They will partner with cross-functional teams to translate data-driven insights into testable hypotheses and iterate on product experiences.
The Legal Counsel will manage the company's patent and trademark portfolios while providing strategic legal advice on intellectual property matters. They will also draft and negotiate commercial agreements and support corporate development through IP due diligence.
Lead and develop the decision science and data science teams while owning the MAU driver model and growth strategy. Partner with cross-functional leaders to define metrics, experimentation standards, and AI-native operating practices.
The SEO/ASO Manager will own the unified organic discovery strategy across traditional search, AI answer surfaces, and app stores. They will lead content strategy, manage technical SEO health, and partner with cross-functional teams to drive organic growth and visibility.
You will design and build a reusable on-device inference framework to enable edge machine learning across the company's hardware portfolio. Additionally, you will perform core firmware engineering tasks, including driver development and debugging, while integrating ML models into resource-constrained environments.
Design, build, and maintain scalable, distributed data pipelines and systems to support real-time analytics, machine learning, and experimentation. Collaborate with cross-functional teams to architect data models and ensure the reliability and performance of data workflows.
Lead the strategy and execution of IT operations and engineering, focusing on identity, endpoint management, and collaboration tools. Drive the transition to an AI-native environment while partnering with the CISO to ensure security and operational excellence.
