AI Strategy Manager Jobs
AI Strategy Manager jobs are open across technology, consulting, financial services, and healthcare, from senior associate to executive and VP level, with specializations in AI product roadmapping, enterprise AI transformation, and data governance strategy. Find a role that fits from the openings below and apply directly.
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Showing 5 of 498+ AI Strategy 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 Strategy Manager Jobs by Experience Level
Top Cities Hiring AI Strategy Managers
Explore AI strategy manager openings in the cities hiring most right now.
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Find AI Strategy Manager JobsAI Strategy Manager Job Market
Who's Hiring
- JPMorganChase25
- Google12
- Booz Allen Hamilton12
- Amazon Web Services7
- PwC6P
Top Industries Hiring
- Technology & Software47
- Investment & Asset Management17
- Education16
- Banking & Financial Services15
- Consulting & Professional Services13
What Employers Look For
The qualifications that appear most often in AI strategy manager jobs.
- 5 or more years of experience in AI, data strategy, or technology consulting
- Demonstrated ability to build and execute enterprise AI roadmaps
- Proficiency with AI and machine learning platforms such as Azure OpenAI, AWS SageMaker, or Google Vertex AI
- Experience driving cross-functional alignment across product, engineering, and business stakeholders
- Bachelor's degree in computer science, business, data science, or a related technical field
- Familiarity with responsible AI frameworks, data governance standards, and risk management practices
Tips for Your AI Strategy Manager Job Search
Quantify your AI adoption impact
Hiring managers for this role want to see outcomes, not activities. Replace vague resume bullets with metrics that show how your AI initiatives moved a business needle, whether that's cost reduction, revenue attribution, or cycle time improvement across a function.
Distinguish strategy from engineering on your resume
Many candidates blur the line between doing AI work and directing it. Make clear you owned roadmaps, stakeholder alignment, and prioritization decisions, not just technical execution. Use language like 'defined,' 'owned,' and 'led cross-functional' to signal the strategic layer.
Apply early to roles that fit
Migrate Mate lists ai strategy manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by AI maturity stage
A company building its first AI proof-of-concept needs a different strategy leader than one scaling production models. Tailor your application language to match where the employer sits on that curve, early-stage explorers versus organizations running AI at enterprise scale.
Prepare a framework for your case interview
Many hiring processes for this role include a business case where you assess an AI investment opportunity or prioritize a roadmap. Practice structuring your answer around value potential, feasibility, organizational readiness, and risk, not just technical merit.
Negotiate scope before you negotiate pay
In offers for this role, the reporting line and cross-functional authority often matter more than the base. Clarify whether you own the AI roadmap outright or operate in an advisory capacity, since that determines how much you can actually deliver and how fast you advance.
AI Strategy Manager Jobs: Frequently Asked Questions
Which companies are hiring the most ai strategy managers?
The companies hiring the most ai strategy managers right now include JPMorganChase, Google, and Booz Allen Hamilton, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of August 2026. Consulting firms and large technology companies consistently account for the majority of postings at this level.
How many ai strategy manager jobs are remote?
About 58% of ai strategy manager openings are fully remote or hybrid as of August 2026, making it one of the more flexible roles at the manager level. Sub-areas focused on external client advisory work and AI product strategy tend to offer the highest share of remote arrangements compared to roles tied to internal transformation programs.
How do you become a ai strategy manager?
Most people reach this role by building a foundation in management consulting, product management, or data and analytics, then developing direct exposure to AI initiatives either by leading pilots, owning an AI product line, or advising on AI adoption decisions. Earning a credential in AI or machine learning product management strengthens your case when moving from a technical or operational background into a strategy-focused title.
How do you get hired as an ai strategy manager with little experience?
Start by framing any project where you assessed, recommended, or implemented an AI tool as strategy work, even if your title was analyst or associate. Build a short case study showing how you identified an AI opportunity, evaluated options, and drove a decision. Roles at growth-stage companies or boutique consultancies are more likely to hire candidates who demonstrate structured thinking over a long resume.
What does the ai strategy manager interview process look like?
The process typically runs three to four rounds. An initial recruiter screen is followed by a hiring manager conversation focused on past experience and strategic thinking. Most employers then include a case or presentation round where you analyze an AI investment scenario or build a prioritized roadmap. Final rounds often involve cross-functional stakeholders such as a chief technology officer, chief data officer, or a business unit leader.
Where can I find and apply to ai strategy manager jobs?
You can find and apply to ai strategy manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings for roles that match your experience level and area of specialization, then apply directly to each one that fits.
See All 498+ AI Strategy Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Strategy Manager Jobs