Sr. Associate, Product Management – Applied AI Platforms

Baker Tilly•Houston, TX

7d•Remote

About The Position

The Senior Associate Product Manager supports the strategy, delivery, adoption, and responsible operation of the organization’s enterprise large language model (LLM) portfolio, with primary focus on ChatGPT Enterprise and Claude Enterprise; including chat, api, and coding related products. This hands-on role translates user and stakeholder needs into product priorities, coordinates execution across U.S.- and India-based teams, and improves access, support, enablement, governance, and cost efficiency.

Requirements

Bachelor’s degree in computer science, business, information systems, or a related field, or equivalent practical experience.
Approximately 4 years of experience in product management, technical product ownership, platform operations, or a related field, including experience supporting enterprise SaaS, AI, API, developer-platform, or technical-enablement products.
Working knowledge of enterprise LLM products and APIs, including ChatGPT Enterprise, Claude Enterprise, Codex, Claude Code, or comparable platforms; product lifecycle and backlog practices; access, provisioning, and support workflows; prompt and model concepts; adoption and enablement methods; usage governance, cost controls, and responsible AI principles.
Strong product judgment, requirements definition, roadmap and backlog management, stakeholder alignment, analytical problem-solving, documentation, facilitation, and written and verbal communication skills.
Able to prepare product briefs, user guides, release communications, requirements, and leadership updates and to use tools such as Azure DevOps, Confluence, and Microsoft 365.
Able to balance strategic product thinking with hands-on operational follow-through; translate user feedback into prioritized improvements; coordinate distributed teams across time zones; manage multiple priorities; and work effectively with technical, risk, finance, enablement, and business partners.
English proficiency required.

Nice To Haves

Familiarity with identity management, SSO, RBAC, API security, usage controls, or rate limits is preferred.

Responsibilities

Lead hands-on administration of enterprise AI platforms, including workspace configuration, access provisioning, license and permission management, SSO/RBAC coordination, user lifecycle processes, API access intake, governance checks, and operational documentation.
Identify and implement opportunities to automate, standardize, and streamline recurring workflows.
Provide product direction, priorities, requirements, user stories, and success criteria to India-based operations and execution teams.
Coordinate sprint planning, backlog refinement, cross-time-zone handoffs, asynchronous updates, delivery reviews, dependency management, structured feedback, and blocker resolution.
Support product strategy, multi-quarter roadmaps, operating models, and prioritized backlogs for ChatGPT Enterprise, Claude Enterprise, approved LLM APIs, Codex, Claude Code, and related tools.
Evaluate new features, models, and vendor releases for enterprise fit, risk, usability, and business value; coordinate pilots, release planning, configuration changes, product enhancements, communications, and rollout activities.
Maintain usage policies, acceptable-use guidance, access standards, governance documentation, and operating procedures in partnership with Security, Compliance, Legal, Finance, and AI governance stakeholders.
Identify and escalate potential misuse, control gaps, and emerging risks while balancing appropriate safeguards with usability and business enablement.
Own the end-user experience across onboarding, access, configuration, adoption, and support.
Serve as a U.S.-hours escalation point, diagnose product and workflow issues, coordinate technical resolution, and improve intake, routing, ownership, escalation, and service-level expectations.
Partner with Learning & Enablement, Innovation, and Citizen Development to develop training materials, product guides, FAQs, office hours, prompt examples, and responsible-use resources.
Support approved LLM APIs and coding tools by defining access models, onboarding processes, usage standards, cost and rate-limit considerations, developer guides, starter templates, prompt libraries, and reference patterns.
Monitor adoption, active usage, onboarding completion, satisfaction, support quality, license utilization, platform performance, and costs; recommend product, budget, license, and process improvements.
Communicate product status, decisions, risks, dependencies, and outcomes to technical teams, business stakeholders, and leadership.
Perform other duties and contribute to related initiatives as assigned.