AI ENABLEMENT PRODUCT MANAGER

Tekaccel Inc.; Washington (District of Columbia); Remote; USD 120,000 - 160,000; Full time

Job summary

Tekaccel Inc. is seeking an AI Enablement Product Manager for a remote, long‑term contract. You will build and operationalize an AI‑enabled PDLC suite of internal tools to help product teams execute work faster using AI agents and workflows.

The ideal candidate has 5+ years in software product management, strong data‑driven decision making, and familiarity with Claude Code, Cursor, GitHub, and Codex. You will collaborate with engineers and cross‑functional partners in a fast‑moving environment.

Qualifications

• 5+ years of related experience in software product management.
• Advanced capability in product requirements, data‑driven decision‑making, AI fluency, rapid prototyping, business acumen, and product planning.
• Strong product judgment and the ability to work through ambiguity, evaluate complex problems, and make evidence‑based recommendations.
• Experience collaborating across functions and working closely with engineering teams.

Responsibilities

• Build and operationalize an AI-enabled PDLC suite of internal tools and applications.
• Lead design and adoption of AI agent workflows and integrated tools for product teams.
• Prototype, test, and ship AI-enabled features with hands‑on involvement alongside engineers.

Skills

AI fluency

Prototype development

Technical fluency

Product leadership

GitHub workflows

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub

Codex

Job description

D: 505-444-2033

tekaccel.com

AI Enablement Product Manager

Remote

Long Term Contract!

Role Overview

Saas Platform Experience also required

This contractor will help build and operationalize an AI-enabled Product Development Lifecycle (PDLC) suite of internal tools and applications that help teams execute work faster and more consistently using AI agents, workflows, and relevant organizational context.

The primary users are product managers, designers, researchers, engineers, and program managers. Secondary users include product marketing, customer success and support, sales, and their enablement teams.

This is a hands‑on product management and building role on an AI Enablement team.

Ideal Candidate Profile

• Builds first and documents second: favors prototyping, testing, and shipping over writing about ideas.
• Uses AI tools daily and learns new tools through hands‑on experimentation. Familiarity with Claude Code, Cursor, GitHub, Codex, or comparable tools is valuable.
• Is comfortable working alongside engineers in repositories, pull requests, issues, branches, and developer environments. An engineering background is not required, but technical fluency is important.
• Can operate as both product manager and builder, setting direction while contributing to internal tools and agent workflows.
• Proactively evaluates emerging AI tools and recommends practical adoption based on hands‑on experience.
• Plans AI‑first: designs work so agents can take the first pass, then collaborates with agents and teammates to refine and finish.
• Thrives in ambiguity and is comfortable helping shape a new function and ways of working.
• Understands real user workflows, identifies where AI can reduce friction or improve quality, prototypes in context, and iterates based on adoption and feedback.
• Can teach and support colleagues with different levels of AI comfort through clear explanations and hands‑on guidance.
• Treats adoption as a product outcome and measures whether workflows are used, where users drop off or work around them, and whether they improve speed and quality.

Required Qualifications

• Bachelor's degree or an equivalent combination of education and experience.
• 5+ years of related experience in software product management.
• Advanced capability in product requirements, data‑driven decision‑making, AI fluency, rapid prototyping, business acumen, and product planning.
• Strong product judgment and the ability to work through ambiguity, evaluate complex problems, and make evidence‑based recommendations.
• Experience collaborating across functions and working closely with engineering teams.

Non‑Negotiable Requirements

• AI‑first workflow: already uses AI tools such as Claude Code, Cursor, Codex, or similar in day‑to‑day work and can demonstrate current use.
• Technical proximity: comfortable with GitHub and common developer workflows; able to communicate fluently with engineering partners.
• Builder mindset: can use AI tools to prototype ideas, write specifications, and create lightweight workflows or tools that engineers or agents can productionize.
• AI tooling awareness: actively evaluates new tools and has informed opinions on what is worth trying.
• AI quality ownership: defines how AI‑enabled workflows should be evaluated, tests outputs against real use cases, identifies failure modes, and uses evidence to judge readiness to scale.
• AI skills library participation: willing to help translate requirements into AI skills, review contributed skills, approve submissions, and maintain quality standards for a shared library.
• Time‑zone overlap: must be based in a U.S. time zone that enables collaboration with the team (Eastern, Central, or Pacific).