Mid Level AI Product Manager Jobs
Mid level ai product manager jobs call for professionals ready to own AI features end to end, align cross-functional stakeholders, and guide junior teammates without waiting for direction. Roles run across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with 43% remote or hybrid availability, and employers like Figma, TikTok, and Databricks hiring at this level now.
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Job Title: AI Coding Tools Engineer (Sr. AI Full-Stack Engineer with Coding Tools [Claude Code, Codex] and agentic AI)
Location: Chantilly, VA
Notes
- Windows and Linux experience (ideally Admin experience) and capable of configuring different coding tools in internal hosted Windows and Linux environments.
- Project management and communications skills to be able to manage different projects and communicate with different parties, with the client, for supporting the operation and roll-out of a variety of coding assistant tools.
- Familiarity with some of the existing coding assistant tools (e.g., Claude Code, Cline, Codex).
Position Description: AI Coding Tools Engineer
The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise.
Key Responsibilities
AI Coding Assistant Evaluation
- Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.
AI Coding Assistant Piloting, Launching & Adoption Support
- Integrate coding assistants into IDEs (VS Code), terminals/CLI workflows, and source-control ecosystems.
- Configure AI guardrails, including content filtering, prompt-shielding, and role-based access controls aligned with enterprise and NIST requirements.
- Work with Security Team to prepare ATO evidence, including SSP updates, control narratives, risk registers, and continuous-monitoring artifacts.
- Work with Training and Enablement Team to develop training, compliance, and end-user/best-practice guides.
- Support Coding Assistant “office hours” to support developer enablement and accelerate adoption.
- Collect user feedback, track adoption metrics, and iteratively refine usage patterns for different developer roles.
AI Coding Assistant Operations & Maintenance Support
- Monitor platform health and guardrail performance.
- Support analysis and remediation of integration or platform issues impacting the coding assistants.
- Track, evaluate, and support application of coding assistant updates and patches.
Required Qualifications
- Minimum 2 years of experience with leading AI Coding Assistants.
- Minimum 3–5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles.
- Experience integrating or evaluating LLM-powered developer tools (e.g., code completion, chat-based programming assistance, test generation, refactoring tools).
- Understanding of NIST compliance and government cloud environments.
- Familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.
Preferred Qualifications
- Direct experience leading enterprise adoption of AI coding assistants (pilot design, rollout planning, governance alignment).
- Hands-on experience with Amazon Bedrock GovCloud, Azure OpenAI (Gov), and/or Vertex AI (Assured Workloads) for production workloads.
- Experience building multi-step agent workflows on Bedrock Agents, implementing Bedrock Guardrails, or building RAG/semantic-search systems via Vertex AI Search.
- Experience supporting ATO artifacts and design/testing of controls.
Job Title: AI Coding Tools Engineer (Sr. AI Full-Stack Engineer with Coding Tools [Claude Code, Codex] and agentic AI)
Location: Chantilly, VA
Notes
- Windows and Linux experience (ideally Admin experience) and capable of configuring different coding tools in internal hosted Windows and Linux environments.
- Project management and communications skills to be able to manage different projects and communicate with different parties, with the client, for supporting the operation and roll-out of a variety of coding assistant tools.
- Familiarity with some of the existing coding assistant tools (e.g., Claude Code, Cline, Codex).
Position Description: AI Coding Tools Engineer
The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise.
Key Responsibilities
AI Coding Assistant Evaluation
- Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.
AI Coding Assistant Piloting, Launching & Adoption Support
- Integrate coding assistants into IDEs (VS Code), terminals/CLI workflows, and source-control ecosystems.
- Configure AI guardrails, including content filtering, prompt-shielding, and role-based access controls aligned with enterprise and NIST requirements.
- Work with Security Team to prepare ATO evidence, including SSP updates, control narratives, risk registers, and continuous-monitoring artifacts.
- Work with Training and Enablement Team to develop training, compliance, and end-user/best-practice guides.
- Support Coding Assistant “office hours” to support developer enablement and accelerate adoption.
- Collect user feedback, track adoption metrics, and iteratively refine usage patterns for different developer roles.
AI Coding Assistant Operations & Maintenance Support
- Monitor platform health and guardrail performance.
- Support analysis and remediation of integration or platform issues impacting the coding assistants.
- Track, evaluate, and support application of coding assistant updates and patches.
Required Qualifications
- Minimum 2 years of experience with leading AI Coding Assistants.
- Minimum 3–5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles.
- Experience integrating or evaluating LLM-powered developer tools (e.g., code completion, chat-based programming assistance, test generation, refactoring tools).
- Understanding of NIST compliance and government cloud environments.
- Familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.
Preferred Qualifications
- Direct experience leading enterprise adoption of AI coding assistants (pilot design, rollout planning, governance alignment).
- Hands-on experience with Amazon Bedrock GovCloud, Azure OpenAI (Gov), and/or Vertex AI (Assured Workloads) for production workloads.
- Experience building multi-step agent workflows on Bedrock Agents, implementing Bedrock Guardrails, or building RAG/semantic-search systems via Vertex AI Search.
- Experience supporting ATO artifacts and design/testing of controls.
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Who's Hiring
Top Industries Hiring
- Technology & Software35
- Banking & Financial Services5
- Investment & Asset Management5
- Consulting & Professional Services5
- Retail2
Mid Level AI Product Manager Jobs: Frequently Asked Questions
How do I get a mid level ai product manager job?
Lead with ownership, not participation. Hiring managers at this level want to see features or AI initiatives you drove from discovery through launch, decisions you made when the path was unclear, and measurable outcomes those choices produced. Tailor your resume to show scope of responsibility, not just task completion, and be ready to walk through your product thinking in depth during interviews.
Which companies hire mid level ai product managers?
Companies hiring mid level ai product managers right now include Figma, TikTok, and Databricks, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide mix of employers, including enterprise technology companies building internal AI platforms, growth-stage startups scaling their core product, and large consumer brands embedding AI into existing experiences.
Are there remote mid level ai product manager jobs?
Yes, remote and hybrid options are common at this level. About 43% of mid level ai product manager openings are remote or hybrid as of September 2026, reflecting how broadly product organizations have adopted flexible work. On-site roles tend to concentrate at companies with embedded hardware, regulated data environments, or teams that rely heavily on in-person collaboration between product and engineering.
How do I move up to a mid level ai product manager role?
The clearest path is building a portfolio of ownership rather than support. In your first few years, look for chances to lead a feature from problem definition through shipping, take on stakeholder communication without a senior PM filtering everything, and quantify the impact of what you shipped. Depth in AI product concepts, such as understanding model evaluation, data pipelines, and responsible AI tradeoffs, accelerates the move from contributor to owner.
Which industries hire the most mid level ai product managers?
Mid Level ai product manager roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. These sectors share a common driver: they are actively embedding AI into core products and workflows at scale, which creates sustained demand for product managers who can bridge business goals with machine learning capabilities without needing constant senior oversight.