Remote opportunity at
ANGIPrincipal Product Manager, AI Platform
ANGI is a global company founded in 1995 that connects homeowners with skilled professionals for home improvement projects, having facilitated over 300 million projects across eight…
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About This Role
ANGI is a global company founded in 1995 that connects homeowners with skilled professionals for home improvement projects, having facilitated over 300 million projects across eight countries with nine brands. The organization is currently seeking a Principal Product Manager for its AI Platform. In this capacity, the professional will direct the vision, strategy, and roadmap for the shared AI infrastructure that handles all model and agent workloads across the enterprise.…
Job Description
ANGI is a global company founded in 1995 that connects homeowners with skilled professionals for home improvement projects, having facilitated over 300 million projects across eight countries with nine brands. The organization is currently seeking a Principal Product Manager for its AI Platform. In this capacity, the professional will direct the vision, strategy, and roadmap for the shared AI infrastructure that handles all model and agent workloads across the enterprise.
This individual will oversee a model-agnostic AI Gateway, evaluation-gated prompt management, self-hosted and fine-tuned model serving, and a trust-and-autonomy framework governing agent independence. Success in this role is evaluated by how effectively the platform improves internal products and empowers engineering and data science teams. The position requires close partnership with technical stakeholders to manage complex backlogs, balance operational stabilization with new strategic builds, and translate infrastructure metrics into tangible business outcomes.
Responsibilities
- Manage the vision and execution for a governed, model-agnostic AI gateway handling all model and agent traffic with cost attribution, routing, rate limiting, provider failover, and automatic spending controls
- Develop the roadmap for the evaluation engine, pass/fail quality gates, version-controlled prompt management, and per-agent accuracy scoring to prevent downstream quality regressions
- Establish and champion the trust-and-autonomy ladder defining thresholds, approvals, and rollback procedures for agent independence
- Oversee production paths for self-hosted open-weight model serving and traditional machine learning to consolidate workloads into a single observable platform
- Define telemetry metrics to monitor platform health and measure business impact
- Partner with product engineering, architecture, and data science teams to drive adoption and ensure alignment with development practices
- Prioritize platform backlogs under capacity constraints and communicate sequencing decisions to leadership and business stakeholders
Requirements
- Minimum of 8 years of experience in product management
- At least 4 years focused on infrastructure, platforms, machine learning, artificial intelligence systems, or technical products serving internal engineering or data-science customers
- Demonstrated track record of scaling technical platforms from inception through maturity
- Technical fluency across modern AI and machine learning stacks including model serving, inference, API gateways, evaluation frameworks, and Kubernetes infrastructure
- Proven ability to utilize telemetry, performance metrics, evaluation results, and financial data to analyze bottlenecks and shape product strategy
Qualifications
- Practical familiarity with large language model gateways and proxies such as LiteLLM
- Experience with evaluation and observability tools like Langfuse
- Knowledge of model serving frameworks including KServe, SageMaker, Bedrock, and Ray
- Familiarity with prompt management, versioning, fine-tuning, and self-hosted open-weight model serving in production environments
- Understanding of agent governance principles, including guardrails, personally identifiable information controls, prompt-injection defense, and trust frameworks
- Background in managing competing operational tracks alongside strategic initiatives
- Strong leadership capabilities for influencing cross-functional teams without direct authority
Core Skills
Benefits
- Salary between USD 190,000 and 280,000 per year based on experience and performance
- Competitive year-end performance bonus and equity package
- Comprehensive medical, dental, and vision insurance
- Flexible vacation policy
- Retirement plan featuring a company 401(k) match
- Pet discount plans
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
The job posting indicates that the position is remote.
What is the salary range for the Principal Product Manager, AI Platform role?
The annual salary ranges from USD 190,000 to 280,000, determined by experience and performance, with potential variation based on geographic location.
What level of experience is required?
Candidates must have at least 8 years of product management experience, with a minimum of 4 years dedicated to infrastructure, platforms, machine learning, AI systems, or similar technical products.
Are additional financial incentives offered beyond the base salary?
Yes, the position includes eligibility for a competitive year-end performance bonus and an equity package.
Sample Interview Questions
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