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Life360

Family safety app with location sharing

Director AI Platforms

Engineering LeadershipUpdated on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • At least 10 years of engineering experience.
  • At least 5 years of experience leading engineering teams that build platforms or infrastructure used by other engineers.
  • Experience building and operating production AI systems, such as agentic workflows, large language model integrations, retrieval, and evaluation.
  • Working knowledge of MCP and agent orchestration, including how agents connect to internal systems with appropriate controls.
  • Familiarity with AI inference in production, including serving, latency, reliability, provider management, and cost.
  • Experience driving adoption of new engineering practices across a large engineering organization through influence, without becoming a bottleneck.
  • Hands-on technical judgment, including reviewing architecture, setting technical direction, and staying close to implementation.
  • Comfort working where the platform, operating model, and product use cases are evolving, and ability to communicate clearly with executives and engineers.

Responsibilities

  • Set the direction for the AI Platforms team with a roadmap balancing current internal needs and future product direction.
  • Lead and scale the team to full capacity by hiring strategically and continuing to develop current team members.
  • Build and evolve the shared AI platform, including model access and routing, agent runtime, MCP integrations, evaluations, agent identity, and cost controls.
  • Define and own AI end-user platforms that enable a multiplayer ecosystem in which people work alongside agents.
  • Partner with core teams to evolve the agentic product development lifecycle, including the tools, environments, review practices, and workflows through which AI agents help plan, write, test, review, and ship code.
  • Extend the platform from internal productivity to the product, defining how product teams access, run, and monitor AI inference and AI-powered features in production at member scale.
  • Drive adoption through paved paths, reusable skills and components, champions, and enablement engineers choose to use.
  • Partner with Security, Privacy, and Legal to build data handling, auditability, and safeguards into the platform from day one.
  • Define and report outcomes including adoption, quality, cost per outcome, and time to ship rather than usage counts.
  • Review designs, unblock teams, and make build-versus-buy decisions as the model and tooling landscape changes.

Desired Qualifications

  • Experience with consumer-scale mobile products or privacy-sensitive data.

About the Company

Life360

Family safety app with location sharing

Life360 offers a subscription-based family safety app that helps families stay connected and protected. It provides real-time location sharing, place alerts, and driver reports to give visibility into loved ones’ whereabouts and driving habits. Users install the app and create a family circle; real-time location sharing lets members see each other’s location, place alerts notify when someone arrives at or leaves a designated location, and driver reports give insights into driving behavior. The product stands out through its large global user base (over 25 million members) and multilingual support (13 languages), along with tiered plans that include premium features such as ID theft protection and access to the Mindrise mood-lifting app. Life360’s goal is to deliver practical, scalable safety tools that help families feel secure and stay connected, doing so through an accessible mobile app and subscription model.

Company size
501-1,000
Company stage
IPO
Headquarters
San Mateo, CA
Founded
2008

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