AI Product Manager Jobs
AI Product Manager jobs are open across tech, fintech, healthtech, and enterprise software, from associate to principal and director level, with specializations in generative AI, platform products, and MLOps tooling. Find a role that fits from the openings below and apply directly.
Find AI Product Manager JobsLooking for remote work? View remote AI product manager jobs →Overview
Showing 5 of 1,117+ AI Product Manager jobs
Job Responsibilities:
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Requirement:
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Qualifications:
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Job Responsibilities:
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Requirement:
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Qualifications:
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
AI Product Manager Jobs by Experience Level
Top Cities Hiring AI Product Managers
Explore AI product manager openings in the cities hiring most right now.
See All 1,117+ AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Product Manager JobsAI Product Manager Job Market
Who's Hiring
- JPMorganChase27
- Amazon20
- Google18
- Intuit18
- Information Technology Senior Management Forum17I
Top Industries Hiring
- Technology & Software176
- Banking & Financial Services21
- Consulting & Professional Services21
- Electronics & Hardware19
- Investment & Asset Management15
What Employers Look For
The qualifications that appear most often in AI product manager jobs.
- Proven experience defining and shipping AI or ML-powered product features
- Ability to collaborate directly with data scientists and ML engineers on model requirements
- Proficiency with product analytics tools and experimentation frameworks such as A/B testing
- Bachelor's degree in computer science, engineering, or a related quantitative field
- Familiarity with large language models, prompt engineering, or generative AI workflows
- Experience writing technical product specifications and acceptance criteria for AI systems
Tips for Your AI Product Manager Job Search
Tailor your resume to AI product depth
Hiring managers for ai product manager roles scan for evidence you've shipped AI-specific features, not just managed sprints. Call out model evaluation cycles, prompt engineering tradeoffs, or data labeling pipelines you owned, not just general roadmap ownership.
Filter openings by AI stack specificity
Job posts that mention specific frameworks like LLMs, RAG pipelines, or vector databases signal a team that ships AI products, not one that bolts on AI as an afterthought. Prioritize those over listings that use only generic phrases like 'leverage AI capabilities'.
Apply early to roles that fit
Migrate Mate lists ai product manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Document your AI-specific portfolio work
Create a one-page case study for at least one AI product you shipped or influenced. Describe the problem, the model choice tradeoffs, how you measured quality beyond accuracy, and what you would do differently. Attach it to every application as a PDF.
Prepare for responsible AI interview questions
Interviewers at AI-forward companies routinely ask how you handled bias in a training dataset, how you balanced speed against safety, or how you explained a model decision to a non-technical stakeholder. Prepare two concrete examples before your first screen.
Negotiate scope, not just compensation
In offer negotiation, ai product managers often leave meaningful leverage on the table by focusing only on base pay. Ask explicitly about model access, compute budget, data infrastructure support, and autonomy over prioritization, because these define the actual job you'll do.
AI Product Manager Jobs: Frequently Asked Questions
Which companies are hiring the most ai product managers?
The companies hiring the most ai product managers right now include JPMorganChase, Amazon, and Google, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in companies building or integrating large language model features into core products.
How many ai product manager jobs are remote?
About 69% of ai product manager openings are fully remote or hybrid as of August 2026, which is higher than the average for product management broadly. Sub-areas like developer tools, API platform products, and AI infrastructure tend to have the greatest share of remote-eligible roles.
How do you become an ai product manager?
Start by building a foundation in product management fundamentals, then layer in applied AI knowledge through coursework, personal projects, or by moving into an AI-adjacent squad at your current company. You'll need to understand model evaluation, data pipelines, and how ML systems fail, not just how they work when they succeed. A portfolio case study on an AI product you influenced is more persuasive than a certification alone.
Can you get hired as an ai product manager with little experience?
Yes, but you need to substitute direct experience with demonstrated AI product thinking. Build a side project that uses an API from a major AI provider, document the product decisions you made, and write up what you learned about latency, cost, and output quality tradeoffs. Associate or rotational PM roles at AI-forward companies are the most accessible entry points for candidates transitioning from adjacent roles in engineering, data, or UX.
What does the ai product manager interview process look like?
The process typically starts with a recruiter screen, followed by a product sense interview where you design or critique an AI feature, and a technical screen where you discuss model tradeoffs, evaluation metrics, or data quality issues with an ML engineer. Later rounds usually include a cross-functional collaboration interview and a case study presentation where you walk through a product decision involving an AI system you worked on or researched.
Where can I find and apply to ai product manager jobs?
You can find and apply to ai product manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing from the page.
See All 1,117+ AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Product Manager Jobs