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# Director, AI Platforms

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/tile.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 216,500–318,500 / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished18 Oct 2026Apply before17 Nov 2026Listing views64Application actions2Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Life360 is hiring a Director of AI Platforms to lead the shared technical foundation for enterprise AI adoption and future member-facing AI capabilities. The role owns strategy, roadmap, team scaling, and technical direction for model access, agent runtimes, MCP integrations, evaluations, identity, governance, and cost controls. This leader will partner closely with engineering, security, privacy, legal, and executive stakeholders to evolve an agentic product development lifecycle and production AI inference platform. The position requires deep hands-on engineering judgment alongside the ability to drive organization-wide platform adoption and measurable outcomes. It is a US-remote leadership role reporting to the Chief Information Security Officer.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior platform leadership role requiring both broad AI systems expertise and proven experience scaling engineering organizations. The remit is highly ambiguous and strategic, spanning internal developer productivity, production AI products, security controls, and organizational change.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$267,500US market range (per year)$220k–$340k0$374.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base salary range of $216,500–$318,500 USD. Although the posting does not explicitly state the pay cadence, yearly compensation is inferred based on the US-based, full-time director-level engineering context and the stated amounts. A reasonable estimated US market range for a Director of AI Platforms is $220,000–$340,000 USD per year, excluding equity and benefits.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[AI platform strategy](https://jobicy.com/jobs?search_keywords=AI%20platform%20strategy.md)[Engineering leadership](https://jobicy.com/jobs?search_keywords=Engineering%20leadership.md)[Large language models](https://jobicy.com/jobs?search_keywords=Large%20language%20models.md)[Agentic workflows](https://jobicy.com/jobs?search_keywords=Agentic%20workflows.md)[Model Context Protocol](https://jobicy.com/jobs?search_keywords=Model%20Context%20Protocol.md)[AI inference](https://jobicy.com/jobs?search_keywords=AI%20inference.md)[Platform engineering](https://jobicy.com/jobs?search_keywords=Platform%20engineering.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[AI evaluation](https://jobicy.com/jobs?search_keywords=AI%20evaluation.md)[System architecture](https://jobicy.com/jobs?search_keywords=System%20architecture.md)[Developer experience](https://jobicy.com/jobs?search_keywords=Developer%20experience.md)[Security and privacy](https://jobicy.com/jobs?search_keywords=Security%20and%20privacy.md)[Cost optimization](https://jobicy.com/jobs?search_keywords=Cost%20optimization.md)[Cross-functional collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20collaboration.md)

Sample interview questionsHow would you prioritize the first-year roadmap for Life360's AI Platforms team?I would begin with a discovery phase to map critical AI use cases, existing tooling, risk boundaries, and developer friction. I would prioritize shared capabilities with high reuse and risk-reduction value, such as governed model access, identity, observability, evaluation, and cost controls. The roadmap would include measurable adoption, reliability, quality, cost-per-outcome, and delivery-speed targets, with quarterly review points.

How would you design governed access to multiple LLM providers for engineering teams?

I would provide a platform abstraction that centralizes provider routing, credentials, policy enforcement, telemetry, rate limits, and fallback behavior. Teams should have self-service access through approved SDKs and paved paths, while sensitive data classifications and use cases receive stronger controls. Provider selection would consider quality, latency, availability, regional constraints, and cost.

What controls are essential when agents connect to internal systems through MCP or similar integrations?

Agents should use strongly scoped identities, least-privilege authorization, approved tool registries, auditable actions, and environment-specific access controls. I would add data classification rules, secret isolation, human approval gates for consequential actions, and continuous monitoring for misuse or anomalous behavior. Tool interfaces should be designed to make safe actions easy and unsafe actions difficult.

How would you drive adoption of a new agentic development lifecycle without creating a central bottleneck?

I would build reusable templates, reference implementations, SDKs, documentation, and automated guardrails that product teams can use independently. Early partner teams would validate the platform and generate practical success stories, while a champion network would spread patterns across engineering. Adoption would be measured by meaningful outcomes such as reduced lead time, improved quality, and lower operational burden rather than raw tool usage.

How do you evaluate whether an AI-powered product feature is ready for production?

I would define task-specific quality criteria, safety boundaries, latency and availability objectives, and acceptable unit economics before launch. Evaluation would combine offline test suites, adversarial testing, human review where appropriate, and staged online experiments with monitoring and rollback mechanisms. Production readiness requires clear ownership, observability, incident processes, and ongoing evaluation as models, data, and user behavior change.

Opportunity details

## About this role.

### About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit [life360.com](http://life360.com/).

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.

### We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

### About The Team

The AI Platforms team builds the shared foundation that lets Life360 use AI quickly and safely. Today, that means powering AI adoption and productivity across the company: model access, agent tooling, and the infrastructure our engineers rely on every day. We work side by side with the teams that are reshaping how Life360 builds with agents. We’ll carry these AI foundations as we look forward towards our future AI product strategy.

### About the Job

As the Director of AI Platforms, you will build and lead the team through a defining shift: from supporting how Life360 works with AI to powering how AI shows up for our members. You will be a critical leader in our continued evolution for our agentic product development lifecycle (PDLC), turning early momentum into shared platforms, paved roads, and measurable results. Looking forward, you’ll shape how the platform supports AI inference and AI-powered features within our product.

You will report to the Chief Information Security Officer with close partnership across our entire leadership team.

The US-based salary range for this position is $216,500 to $318,500 USD. We take into consideration an individual’s background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.

Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.

### What You’ll Do

* Set the direction for the AI Platforms team, with a clear roadmap that balances today’s internal needs with where the product is going
* Lead and scale the team to full capacity by strategically hiring and continuing to develop current team members.
* Build and evolve the shared AI platform: model access and routing, agent runtime, MCP integrations, evals, agent identity, and cost controls
* Define and own our AI end-user platforms, enabling a multiplayer ecosystem working side by side with agents
* Partner with core teams to evolve our Agentic PDLC, 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 by making the right way the easy way: paved paths, reusable skills and components, champions, and enablement that engineers choose to use
* Partner with Security, Privacy, and Legal to build data handling, auditability, and safeguards into the platform from day one, with the trust our members expect from a family safety company
* Define and report outcomes that matter, such as adoption, quality, cost per outcome, and time to ship, rather than usage counts
* Stay close to the work: review designs, unblock teams, and make build-versus-buy calls as the model and tooling landscape change

### What We’re Looking For

* 10+ years of engineering experience
* 5+ years 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 (LLM) 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 the adoption of new engineering practices across a large engineering organization through influence, without becoming the bottleneck
* Hands-on technical judgment: comfortable reviewing architecture, setting technical direction, and staying close to implementation
* Comfort working where the platform, the operating model, and the product use cases are all taking shape at once, and a clear communicator with both executives and engineers
* Nice to have: experience with consumer-scale mobile products or privacy-sensitive data

### Our Benefits

* Medical, dental, vision, life and disability insurance plans (100% paid for employees)
* Paid parental leave
* 401(k) plan with company matching program
* Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
* Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
* Learning & Development programs
* Equipment, tools, and reimbursement support for a productive remote environment
* Free Life360 Platinum Membership and Tile trackers

### Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

* Be a Good Person – We have a team of high integrity people you can trust.
* Be Direct With Respect – We communicate directly, even when it’s hard.
* Members Before Metrics – We focus on building an exceptional experience for families.
* High Intensity, High Impact – We do whatever it takes to get the job done.

### Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

____________________________________________________________________________

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