Technical Product Manager

About the 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 building something different.

Responsibilities

• Own the product strategy, roadmap, and delivery quality for: Talent Portal, AI Coach, Career Passport, Training & Job Matching Surfaces, and Talent-Side Data & AI Use Cases.
• 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.
• 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.
• Translate architecture decision records (ADRs) and engineering context into precisely scoped tickets; you do not need to write code, but you need to understand enough about how the system works to know what needs to happen and in what order.
• 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.
• Own the multi-quarter roadmap for the Talent Journey domain, connecting individual feature decisions to FutureFit’s broader flywheel: richer profiles → better movement → measurable outcomes → platform defensibility.
• Contribute to quarterly product strategy discussions alongside the CPO, Director of Data, VP of Engineering, and Sr. TPM for Customer Workflows, with clear representation of the job seeker perspective in every prioritization conversation.
• Define the user profiling strategy for AI Coach; what data the coach collects and how it feeds agentic, movement and recommendation systems downstream.
• Set the evaluation framework for AI Coach quality: what “good” looks like for a job seeker interaction, how you measure it, and how you create a feedback loop with the data team to improve it.
• Identify and prioritize Career Passport data capture opportunities, from assessment integrations to training completions to employer signals, that increase the density and accuracy of the job seeker’s longitudinal record.
• Keep job seeker privacy and trust at the center of every data design decision, flagging risks proactively and partnering with engineering and legal on compliant implementation.
• Partner with Customer Success and GTM to enable state agency and employer customers with the job seeker product narrative, because how the portal serves job seekers directly impacts contract renewal and expansion.
• 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, not two separate products.

Requirements

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 have a working knowledge of what different models are good at, where they fail, and how to orchestrate them to get real work done.
• 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 get your hands dirty, generate artifacts yourself, and treat every step between “customer problem” and “working thing to react to” as your responsibility to compress.
• 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 can make the implicit explicit and leave no ambiguity about what “done” looks like.
• 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.

Qualifications

• Experience in workforce development, adult education, human services, or labor market programs — as a practitioner, researcher, or technologist.
• Background in UX, service design, or conversation design, particularly for populations with varied digital literacy.
• 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.
• Education: Your alma mater isn't our focus. Your grit, hunger, and drive are.

Benefits

Although this role is remote, you may be expected to travel up to once per quarter for offsites and team gatherings.

Pay

The 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, benchmarked to the middle of the market for comparable venture-backed companies.

Schedule

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.