Technical Product Manager

FutureFit AI

Technical Product Manager leading the Talent Journey at FutureFit AI. Owning product strategy, roadmap, and collaboration with AI and user experience teams.

Posted 6/23/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite

About the role

Key responsibilities & impact

The TPM — Talent Journey owns the experience of every person who walks through a FutureFit AI-powered portal looking for work, training, or a better career path.
You will own the product strategy, roadmap, and delivery quality for:
- **Talent Portal:** End-to-end portal experience across onboarding, profile-building, training discovery, job matching, and progress tracking — for job seekers served by state workforce agencies, American Job Centers, and employer-sponsored programs.
- **AI Coach:** Product direction for FutureFit's conversational AI coach — defining what it knows about a user, when it surfaces the right nudge, and how it improves over time through richer user profiling and feedback loops.
- **Career Passport:** The longitudinal profile layer that captures skills, credentials, experiences, and outcomes across a job seeker's journey.
- **Training & Job Matching Surfaces**: The search, recommendation, and eligibility-aware features that connect job seekers to training programs, apprenticeships, and open roles based on their actual profile and goals.
- **Talent-Side Data & AI Use Cases:** Identify and define the LLM, recommender, and signal-capture opportunities within the job seeker journey that feed the platform's outcomes intelligence layer.
Conduct continuous, lightweight customer research (direct interviews, session reviews, portal data analysis) and synthesize findings into crisp problem statements and design hypotheses.

Requirements

What you’ll need

You know this market. You understand how workforce agencies operate, what job seekers actually experience navigating employment and training systems, and what the policy environment (WIOA, Workforce Pell, ETPL) means for product design.
You are AI-native, not AI-curious. You already use LLMs, agents, and AI-assisted tools as your primary work layer — not occasionally, not experimentally.
You build. You are a player-coach by disposition. You do not wait for a designer to mock something up or an engineer to prototype an idea.
You are technically fluent, especially in data. You do not need to write production code, but you need to be able to pull data from BI tools and data systems and leverage Claude Code to self-sufficiently understand system architecture, engage in ADR conversations, and translate technical constraints into product decisions.
You write precisely. PRDs, specs, and tickets from you should need minimal back-and-forth.
You are a strong customer researcher. You know how to run a useful interview, synthesize qualitative signals into testable hypotheses, and separate what users say from what they need.

Benefits

Comp & perks

Health insurance
Professional development opportunities
Flexible work arrangements
Remote work options

ATS Keywords

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Hard Skills & Tools

product strategyroadmap developmentdata analysiscustomer researchuser profilingAI toolsLLMsrecommender systemssignal capturesystem architecture

Soft Skills

communicationproblem-solvingcustomer empathysynthesis of findingscollaborationleadershipwriting precisioninterviewinghypothesis testingadaptability