Technical Product Manager

Responsibilities

• 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 - the data flywheel FutureFit's entire platform depends on.
• 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.
• Work AI-Natively
• Use AI agents and LLM tooling (Claude, Cursor, v0, and equivalents) to do work that would otherwise require a full design sprint, from generating a working prototype to drafting a test plan to synthesizing a stack of customer interviews.
• Operate independently when needed: run discovery, generate design options, write specs, draft tickets, and validate with users in a compressed cycle that does not wait for full team availability.
• Know when to manage a fleet of agents and when to stop and involve humans. The judgment about what AI can accelerate and what still requires engineering architecture is as important as the tooling itself.
• Set the bar for AI-native product workflow on the team. What you figure out about using agents, automation, and LLM tooling in the product cycle should become a reusable process that others adopt.
• Build with Talent at the Center
• Conduct continuous, lightweight customer research (direct interviews, session reviews, portal data analysis) and synthesize findings into crisp problem statements and design hypotheses.
• Prototype fast. Use AI tooling, no-code and low-code methods, and collaborative sessions with engineering to get something testable in front of real users before writing a PRD. Use AI-assisted tools (Cursor, Claude, Figma AI, and equivalents) to generate

Additional Information

Come join our Product team! High velocity, high intensity, high trust, high bar, high impact, and a will to win. If those words resonate deeply with you, this could be your next career move. We're seeking someone who leads with humility, pursues audacious goals, and is motivated by meaningful impact on people and the world. At FutureFit AI, our core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. Our work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale. Ready to make an impact? Apply today. Important note: Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. We encourage you to apply if you see a strong (not necessarily perfect) fit. Your Role 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. This is not a traditional product management role. We are not looking for someone who has spent years in PM org hierarchies, handed off specs to designers, and waited for engineers to ship. We are building something different. FutureFit AI operates in small, high-context teams. Every person on the product side is an active builder, not just a coordinator. This role is part product manager, part project manager, part prototyper, part researcher - and increasingly, part AI engineer. We expect this person to learn to manage fleets of agents, ship working prototypes with AI tooling, and collapse the distance between "I heard a customer problem" and "here is something you can use" from weeks to days. You will own the end-to-end talent experience, including the AI Coach, Career Passport, and the training and job moving surfaces that connect people to real next steps. You will be close enough to the engineering work to translate an ADR into a sprint's worth of precise tickets. The best candidate for this role may have been a workforce counselor, a case manager, a researcher, a UX designer, a data analyst, or a scrappy generalist at a workforce tech startup. Prior PM titles are not required. What matters is that you know this space, you build with AI and speed, and you keep the person at the center of every decision.

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