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Principal Product Manager, AI Platform

Work from home

Remote role where the employee must remain based in a particular country.

Listed for United States

From the listing details: Source listing states candidate location: "Remote - United States, Remote"

Employer listed it 3 months ago · Added 5 weeks ago

Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

$190,000 to $280,000

Location

Listed for United States

Timezone

US East

Contract

Full-time

Experience

Lead

Category

Product

Stated by the employer in the job description

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Global company with 9 brands in 8 countries and employees worldwide
Contract
Not mentioned in the advert
Experience asked for
8+ years of experience in Product Management, with at least 4 years focused on infrastructure, platforms, ML/AI systems, or other technical products serving internal engineering or data-science customers.
Pay
Compensation & Benefits

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote - United States, Remote"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a requirement

  • “8+ years of experience in Product Management, with at least 4 years focused on infrastructure, platforms, ML/AI systems, or other technical products serving internal engineering or data-science customers.”

Questions worth asking: Nomaders interpretation

  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.

For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.

Angi at a glance:

Founded in 1995 as Angie’s List and rebranded in 2021

Global company with 9 brands in 8 countries and employees worldwide

Homeowners have turned to us for 300 million home projects and counting

About the team

This Principal Technical Product Manager will own the vision, strategy, and roadmap for the AI Platform: the shared, governed entry point every model and agent workload at Angi runs through. As generative AI moves from experiment to production across the company, this team manages the common platform with routing, cost attribution, quality evaluation, and guardrails built in rather than rebuilt by every team.

The ideal candidate is a technical product manager who treats infrastructure as a product and has a strong thesis on how AI is reshaping the way software and models get built and served. You will own the platform that our product engineering, data science and their associated agents depend on: a model-agnostic AI Gateway, eval-gated prompt management, self-hosted and fine-tuned model serving, and the trust-and-autonomy ladder that governs how much independence each agent earns. Your measure of success is not just adoption and scale, but are we meaningfully improving our products and enabling our internal teams.

What you'll do

Product Management

AI Gateway & Cost Governance: Own the vision for a governed, model-agnostic gateway that all model and agent traffic routes through, with per-team and per-use-case cost attribution, flexible model routing, rate limiting, provider failover, and automatic spending caps and stop switches. Make model-swap and cost decisions changeable once at the gateway, not per service.

Evaluation & Quality Enforcement: Define the roadmap for the eval engine and the pass/fail gate that runs on it, eval-gated prompt management with versioning and rollback, and per-agent accuracy scoring — so quality regressions are caught before they reach users rather than surfacing downstream in business metrics.

Trust & Autonomy Ladder: Define and champion the trust-and-autonomy ladder — the thresholds, progression criteria, evidence, approvals, and rollback logic that govern when an agent earns more independence — so agentic adoption scales with accountability instead of governance gaps.

LLM & ML Serving Infrastructure: Own the production path self-hosted LLM /open-weight model serving and traditional ML with the goal to consolidate both ML and LLM workloads under one standardized observable platform.

Cost & ROI Telemetry: Define and instrument the metrics that track the platform health as well as business impact to the platform.

Execution And Leadership

Cross-Functional Partnership: Establish deep partnerships with product engineering, architecture and data science to drive adoption and make sure the platform reflects how teams actually build and serve models.

Technical Roadmap Management: Manage a complex platform backlog spanning parallel tracks and under real capacity constraints. Make and communicate authoritative sequencing and trade-off decisions with concise and clear communications.

Stakeholder Communication: Act as the primary interface between technical platform teams and business stakeholders, translating infrastructure investment into clear business outcomes

Who you are

Minimum Qualifications

8+ years of experience in Product Management, with at least 4 years focused on infrastructure, platforms, ML/AI systems, or other technical products serving internal engineering or data-science customers.

Proven track record scaling technical platforms from inception through maturity for demanding internal customers.

Requirements

  • ·8+ years of experience in Product Management, with at least 4 years focused on infrastructure, platforms, ML/AI systems, or other technical products serving internal engineering or data-science customers.
  • ·Proven track record scaling technical platforms from inception through maturity for demanding internal customers.
  • ·Demonstrated ability to use telemetry and cost data (model performance, eval results, adoption analytics, spend data) to diagnose bottlenecks and drive product strategy.
  • ·Preferred Qualifications
  • ·Hands-on familiarity with LLM gateways/proxies (e.g., LiteLLM), evaluation and observability tooling (e.g., Langfuse), and model serving frameworks (e.g., KServe, SageMaker, Bedrock, Ray).

Benefits

  • ·The salary band for this position ranges from $190,000 – $280,000 commensurate with experience and performance. Compensation may vary based on factors such as geographic location.
  • ·This position will be eligible for a competitive year end performance bonus & equity package.
  • ·Full medical, dental, vision package to fit your needs
  • ·Flexible vacation policy; work hard and take time when you need it
  • ·Pet discount plans & retirement plan with company match (401K)

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at ANGI, mentioning your remote working experience and working hours (US East).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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