Technical Product Manager at FutureFit AI | Torre

Technical Product Manager

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Full-time

Legal agreement: Employment

Compensation
USD140k - 170k/year
location_on
Remote (for Canada residents)
Remote (for United States residents)
Shared by
Emma of Torre.ai
about 2 months ago

Responsibilities


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.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 RoleThe 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.FutureFit AI operates in small, high-context teams. Every person on the product side is an active builder, not just a coordinator.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.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.What You'll OwnTalent Portal: End-to-end portal experience across onboarding, profile-building, training discovery, job matching, and progress tracking.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.Work AI-NativelyUse AI agents and LLM tooling (Claude, Cursor, v0, and equivalents) to do work that would otherwise require a full design sprint.Operate independently when needed: run discovery, generate design options, write specs, draft tickets, and validate with users in a compressed cycle.Know when to manage a fleet of agents and when to stop and involve humans.Set the bar for AI-native product workflow on the team.Build with Talent at the CenterConduct 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.Run structured discovery sessions that surface what job seekers actually need to navigate the next step in their career journey.Stay current on workforce development policy, WIOA service delivery, Workforce Pell, and Eligible Training Provider List (ETPL) dynamics.Translate architecture decision records (ADRs) and engineering context into precisely scoped tickets.Write PRDs and specs that are useful to engineers with clear acceptance criteria, explicit edge cases, defined data requirements, and a testable definition of done.Product Strategy & LeadershipOwn the multi-quarter roadmap for the Talent Journey domain.Contribute to quarterly product strategy discussions alongside the CPO, Director of Data, VP of Engineering, and Sr. TPM for Customer Workflows.Translate company strategy into a coherent sequencing plan for your domain.Drive competitor and market analysis for job seeker facing workforce technology.Define the user profiling strategy for AI Coach.Set the evaluation framework for AI Coach quality.Identify and prioritize Career Passport data capture opportunities.Keep job seeker privacy and trust at the center of every data design decision.Cross-Functional PartnershipBe the product voice for job seekers in every planning and prioritization conversation.Partner with the engineering lead from ADR to sprint planning.Support the data team on job seeker–side analytics.Manage launch readiness end-to-end within your domain.Partner with Customer Success and GTM to enable state agency and employer customers with the job seeker product narrative.Work closely with the Sr. TPM of Customer Workflows to ensure the job seeker portal and employer/recruiter portal are designed as a coherent system.Required ExperienceYou know this market. You understand how workforce agencies operate and what the policy environment (WIOA, Workforce Pell, ETPL) means for product design.You are AI-native, not AI-curious.You build. You are a player-coach by disposition.You are technically fluent, especially in data.You write precisely.You are a strong customer researcher.Bonus PointsExperience in workforce development, adult education, human services, or labor market programs.Background in UX, service design, or conversation design.Familiarity with LER standards, ILR, or open skills frameworks (e.g., O*NET, Lightcast).Prior product, project management, or delivery ownership in a B2G or B2B2C SaaS environment.Prior product management titles are not required — and in some cases, a background that isn’t traditional PM may be an advantage. What matters is judgment, speed, AI fluency, and deep familiarity with the people this platform serves.Your EducationYour alma mater isn't our focus. Your grit, hunger, and drive are.Location[CA/US Remote] We are open to candidates living anywhere in Canada or the US. For candidates living in Toronto, our office is conveniently located at 325 Front St West (a short walk from Union Station). You are welcome to come in on a hybrid schedule.Travel ExpectationsAlthough this role is remote, you may be expected to travel up to once per quarter for offsites and team gatherings.CompensationThe base salary range for this role is USD $140,000 to $170,000 for candidates based in New York and CAD $165,000 to $200,000 for candidates based in Toronto.Hiring JourneyAt FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit. Each journey includes a mix of interviews and a performance challenge.Online ApplicationInitial Screen with Director of People & CultureInterview with Hiring ManagerPanel InterviewFinal 1:1 InterviewsFinal DecisionGenerally, this entire process takes around 6 weeks.How we evaluate TPM’s at FutureFit AITPMs in this role are expected to demonstrate:Vision & StrategyAI-Native ExecutionDiscovery & PrototypingTechnical BridgingSpec & Ticket QualityCross-functional CredibilityOutcomes OrientationCompany Snapshot:Team: 30-50 across US and Canada (hubs in NYC and Toronto)Customers: Workforce development agencies and intermediaries, government agencies, employersIndustry: SaaS/AI technologyFunding: Bootstrapped 0-1, then raised funding led by JP MorganStructure: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & OperationsOur Core PrinciplesBe CuriousDrive to OutcomesRaise the BarSpeed MattersOwn ItWe Over MeUse of AI in HiringAt FutureFit, we use artificial intelligence (AI) tools to make our hiring process more efficient, consistent, and equitable—never to replace human judgment.Screening support: AI may help us compare applications against the skills and experience required for a specific role.Interview support: In some interviews, we may use an AI notetaker to summarize the discussion.Insights, not decisions: AI provides data points to support our team’s evaluation but does not make or recommend final hiring decisions.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.