A
$190,000 – $280,000
Listed on Angi’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads product strategy for an internal AI platform that serves as the central gateway for all model and agent workloads across the company, managing cost attribution, quality evaluation, and governance. It suits experienced technical product managers who understand infrastructure-as-a-product and want to shape how a large organization scales generative AI from experimental to production systems.
Our summary, not Angi’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 8+ years of product management experience
- 4+ years focused on infrastructure, platforms, ML/AI systems, or technical products for internal customers
- Track record scaling technical platforms from inception through maturity
- Technical fluency across AI/ML stack including model serving, inference, API gateways, evaluation frameworks, and cloud infrastructure
- Ability to use telemetry and cost data to diagnose bottlenecks and drive strategy
Nice to have
- Hands-on experience with LLM gateways like LiteLLM
- Familiarity with evaluation and observability tooling like Langfuse
- Experience with model serving frameworks such as KServe, SageMaker, Bedrock, or Ray
- Background in prompt management, versioning, or LLM fine-tuning in production
- Experience with self-hosted or open-weight model serving
- Knowledge of agent governance concepts including guardrails, PII controls, and prompt-injection protection
- Experience managing platforms across competing tracks and stakeholders
- Demonstrated cross-functional influence without direct authority