Mid Level Senior AI Product Manager Jobs
Mid level senior ai product manager jobs go to professionals ready to own AI product initiatives end to end, translate complex model capabilities into user value, and guide junior team members with limited oversight. Roles are distributed across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with a strong mix of remote and hybrid settings, and employers like Figma, TikTok, and Databricks hiring at this level now.
Find JobsOverview
Showing 5 of 62+ Mid Level Senior AI Product Manager jobs
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.
See All 62 Mid Level Senior AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Senior AI Product Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software35
- Banking & Financial Services5
- Investment & Asset Management5
- Consulting & Professional Services5
- Retail2
Mid Level Senior AI Product Manager Jobs: Frequently Asked Questions
How do I get a mid level senior ai product manager job?
Position yourself by highlighting AI products you have owned from discovery through launch, decisions you made without constant supervision, and measurable outcomes like adoption or retention gains. Recruiters at this level want evidence of cross-functional leadership, clear thinking on model trade-offs, and the ability to write crisp product specs for engineering teams building with AI. Tailor each application to the specific AI domain the company works in.
Which companies hire mid level senior ai product managers?
Companies hiring mid level senior ai product managers right now include Figma, TikTok, and Databricks, based on current listings on Migrate Mate as of September 2026. The hiring pool includes large technology platforms, enterprise software companies, and well-funded startups that are actively scaling AI-native product teams and need managers who can operate independently on defined product areas.
Are there remote mid level senior ai product manager jobs?
Yes, remote and hybrid options are common at this level. About 43% of mid level senior ai product manager openings are remote or hybrid as of September 2026, reflecting how product teams in AI have adapted to distributed collaboration. Many companies pair flexible location policies with periodic on-site sprints for discovery, planning, or stakeholder alignment.
How do I move up to a mid level senior ai product manager role?
The path to mid level is built through sustained ownership and demonstrable impact. Starting from an associate or junior product role, you grow by taking full accountability for a feature or product area, shipping measurable improvements, and developing a working fluency in machine learning concepts. Building a habit of writing clear product documentation and gathering user evidence strengthens your case for promotion or a mid level hire at a new company.
Which industries hire the most mid level senior ai product managers?
Mid Level senior 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 drive hiring at this level because they are actively embedding AI into core products and need managers who understand model behavior well enough to set direction without being blocked by engineering complexity.