---
title: 'Senior Technical Product Manager at FutureFit AI'
canonical: 'https://feeny.ai/job/senior-technical-product-manager-futurefit-ai-north-q1h2jvv9qsdx'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Technical Product Manager at FutureFit AI

- **Company:** FutureFit AI
- **Location:** North, United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-10
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/futurefitai/448ebfe9-bae3-4f46-b629-2ddfb9a7f7ff

## Job description

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 Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.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

We're seeking a Senior Technical Product Manager to own the Customer Workflows domain — the full experience of how employers, recruiters, business service teams, and staffing agents experience and interact with our technology. 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, and every person on the product side is an active builder. This role is part product manager, part project manager, part prototyper, part researcher, and increasingly, part AI engineer. You will 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 operate at the intersection of product execution, platform architecture, and data intelligence: leading initiatives, owning your domain's roadmap end-to-end, and delivering against the craft bar across product-engineering-data collaboration.

## What You'll Own

- Employer & Recruiter Portal: Experience, performance, and activation across all recruiter-facing surfaces, including feature instrumentation and health metrics.
- Business Service Workflows: End-to-end workflows powering business service operations on the platform.
- Agentic Workflows: Tools, flows, and experiences that agents use to deliver value to employers and admins — increasingly augmented by agentic AI that handles routine steps and surfaces the next best action.
- Agentic AI & data use cases: Surface and define agentic AI, LLM, search, and recommender applications — including candidate recommendations and automated business-service flows — translating them into clear requirements and the evaluation standards the data and engineering teams adopt.
- AI-native execution: Use AI agents and LLM tooling as your default work layer — generating working prototypes, drafting test plans, synthesizing customer interviews — and turn what you learn into reusable processes others adopt. Know when to manage a fleet of agents and when to stop and involve humans.
- Customer-centered discovery: Run continuous, lightweight research (direct interviews, session reviews, portal data analysis), structured Jobs-to-Be-Done discovery sessions, and fast prototyping to get something testable in front of real users before committing engineering capacity.
- Product strategy & roadmap: Author and maintain quarterly roadmaps for the Customer Workflows domain, contribute to strategy discussions alongside the CPO, VP of Engineering, and VP of AI & ML, and connect employer/recruiter outcomes to ARR and mission goals — informed by competitor analysis, with a particular eye on agentic AI-native entrants.
- Technical excellence: Own trade-offs across performance, scalability, cost, and speed; translate ADRs and engineering context into precisely scoped tickets; write PRDs with clear acceptance criteria, explicit edge cases, defined data requirements, and a testable definition of done; partner with engineering and analytics leads on data warehouse initiatives such as large-scale integrations and ATS work.
- Cross-functional leadership: Be the go-to product partner for Product, Engineering, Data, Customer Success, and GTM in your domain; proactively brief Sales and CS before major releases; mentor peers on technical scoping, evaluation frameworks, agentic AI workflow, and discovery craft; and create reusable templates, decision frameworks, and playbooks that raise the quality floor.

Required Experience

- Demonstrated ownership of a product area at a platform level — you can articulate the what, why, and trade-offs of every major decision in your domain with authority
- A track record leading multi-quarter, cross-functional technical initiatives end-to-end
- 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 — and you know what different models are good at, where they fail, and how to orchestrate them to get real work done
- Strong technical depth: you can shape architecture discussions, evaluate agentic AI/LLM system quality, define evaluation frameworks, and scope non-functional requirements independently
- Data fluency: you define OKRs and success metrics with precision, maintain a living metrics view, and drive data-informed decisions — not just report on delivery velocity
- Proven cross-functional credibility: Sales, CS, and Engineering see you as a trusted partner, not a gatekeeper

Bonus Points

- Experience with employer/recruiter, workforce, or B2B SaaS platforms
- Fluency in employer and workforce development policy: WIOA service delivery, Workforce Pell, and Eligible Training Provider List (ETPL) dynamics
- Familiarity with modern BI/analytics tooling (Looker, Snowflake, or equivalent)

## Your Education

Your alma mater isn't our focus. Your grit, hunger, and drive are. If you learn continuously, tackle challenges head-on, and know your strengths and gaps intimately, you're our person.

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).

Travel Expectations

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

## Compensation

The base salary band for this role is USD $125,000 to $160,000 for candidates based in the US and CAD $125,000 to $165,000 for candidates based in Canada, regardless of location. As a remote-first company, we benchmark compensation to the national market for comparable roles at institutionally-funded startups, targeting the middle of the market. Bands are designed for the lifecycle of the role — where you enter the band reflects your applied experience and other criteria established by the hiring committee, with room to grow through the band as you grow in the role.

Hiring Journey

At FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit based on your unique skills, mindset, and experiences. We move fast and work with intensity, so we want you to get a real sense of that from the start.

Each journey includes a mix of interviews and a performance challenge. For this role, that might look like:

1. Online Application
2. Initial Screen with Director of People & Culture
3. Interview with Hiring Manager
4. Performance Challenge
5. Final 1:1 Interviews
6. Final Decision

Generally, this entire process takes around 6 weeks, although the timing can vary due to specific candidate circumstances.

READY TO SHAPE THE FUTURE OF WORK?

At FutureFit AI, we're not just building a company—we're transforming how talent and opportunity connect. Join our driven team united by a commitment to job seekers and the workforce ecosystems we serve.

## COMPANY SNAPSHOT:

- Team: 30-50 across US and Canada (hubs in NYC and Toronto)
- Customers: Workforce development agencies and intermediaries, government agencies, employers
- Industry: SaaS/AI technology
- Funding: Bootstrapped 0-1, then raised funding led by JP Morgan
- Structure: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations

## OUR CORE PRINCIPLES

- Be Curious
- Drive to Outcomes
- Raise the Bar
- Speed Matters
- Own It
- We Over Me

## USE OF AI IN HIRING

At FutureFit, we use artificial intelligence (AI) tools to make our hiring process more efficient, consistent, and equitable—never to replace human judgment. We use AI in the following ways:

- Screening support: AI may help us compare applications against the skills and experience required for a specific role. These skills are defined by the hiring team for each position. A human reviews each application, with the AI assessment as just one input.
- Interview support: In some interviews, we may use an AI notetaker to summarize the discussion so interviewers can focus on being present in the conversation.
- Insights, not decisions: AI provides data points to support our team’s evaluation but does not make or recommend final hiring decisions. Every hiring decision is made by people.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

© FutureFit AI All rights reserved, we are proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.

## About FutureFit AI

## Company Overview
- **One-liner**: FutureFit AI provides an AI-powered workforce development platform that connects people to careers, employers to talent, and workforce partners to integrated, intelligent workforce systems.
- **Entity Type**: Private (Seed stage; total funding of $5.4M)
- **Headquarters**: New York City, United States (with dual hubs in Toronto, Canada)
- **Founded**: Year not explicitly stated in available data (active since at least 2018, based on a grant round)
- **Founders**: Terralynn Forsyth (co-founder, left March 2026) – other founders not publicly listed.

## Core Business
- **Primary industry/industries**: AI-powered workforce development, human resources technology, government workforce systems, economic development.
- **Target customers**: B2B – Fortune 500 companies, governments, workforce development organizations, and economic development agencies. Also serves enterprises (employee upskilling/reskilling) and job seekers indirectly through partners.
- **Mission or purpose statement**: “To empower individuals, employers, and communities to thrive in our new world of work by building better pathways between people, skills, and opportunities.”

## Products & Services
- **Pathways Platform**: An AI-powered solution for governments and workforce organizations that provides personalized career navigation, skills-based path recommendations, and tailored roadmaps to quality learning and jobs. Type: SaaS platform.
- **Career Copilot**: An AI career assistant that adapts to individual career needs, the world of work, and organizational context. Type: SaaS, AI assistant.
- **Labor Exchange**: The only AI-powered labor exchange built for the public workforce system, connecting job seekers to employers. Type: SaaS platform.
- **Career Navigation**: Identifies an individual’s starting point, recommends skills-based career paths, and offers a tailored roadmap to learning and careers. Type: SaaS module.
- **Talent Pipelines for Industry**: Creates personalized pathways in a region to connect local talent to key growth industries. Type: SaaS module.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding – $5,360,544 (as of most recent data). Seed round of $4.6M (March 2022) led by Acumen and JPMorgan Chase. Additional seed rounds from Achieve Partners and others.
- **Notable Investors/Partners**: Acumen, JPMorgan Chase, Achieve Partners. Also recognized by Wall Street Journal, World Economic Forum, US Government, UK Government, and Nesta.
- **Growth Signals**: Platform ingests data from 350 million talent profiles, 80,000 job titles, and 30,000 skills. The company has 29 employees (as of mid-2026) but saw a -21.1% YoY headcount decline. However, job postings have increased +200% YoY, indicating renewed hiring. Dual hub offices in Toronto and New York.

## Competitive Advantages
- **Proprietary Labor Market Data**: Uses real-time global labor market intelligence and proprietary algorithms designed to avoid perpetuating biases.
- **Scale of Data**: 350M+ talent profiles, 50M+ users supported, 100K+ talent pipelines.
- **Focus on Equity and Access**: Emphasis on equitable, accessible, and responsible AI for underserved communities.
- **End-to-End Workforce Solution**: Covers career navigation, reskilling, job placement, and labor exchange in a single platform, differentiating from point-solution competitors.

## Strategic Focus
- Expanding partnerships with governments and workforce development organizations (e.g., US and UK government adoption).
- Scaling the Career Copilot product for enterprise clients seeking internal talent mobility.
- Building out the Labor Exchange for public workforce systems.
- Current active job postings (6 roles) in engineering, data science, brand, finance, and operations suggest a focus on platform and product team growth.

## Why Work Here
- **Culture Highlights**: Values-driven mission (“connect more people to better jobs, faster and cheaper”), founder access, high velocity/high intensity environment.
- **Remote/Hybrid/Office Policy**: Flexible, trust-based scheduling – not fully remote but dual hubs in Toronto and New York (offices in both cities). Described as “flexible lifestyle” with “work-life harmony”.
- **Notable Perks**: Unlimited paid time off, dedicated professional development budget, 401k (US only), technology reimbursement program, comprehensive healthcare.
- **Engineering Culture**: Active hiring for senior backend and data science roles; emphasizes intentional hiring process with performance challenges. Engineering team is 10 people (33% of headcount).

## Sources
1. [futurefit.ai/careers](https://www.futurefit.ai/careers)
2. [futurefit.ai/about-us](https://www.futurefit.ai/about-us)
3. [futurefit.ai/](https://www.futurefit.ai/)
4. [jobs.ashbyhq.com/futurefitai](https://jobs.ashbyhq.com/futurefitai)
5. [linkedin.com/company/futurefit-ai](https://www.linkedin.com/company/futurefit-ai)

## Other roles at FutureFit AI

- [Brand & Marketing Manager](https://feeny.ai/job/brand-marketing-manager-futurefit-ai-united-states-mc7jz0y19p5w) — United States
- [Software Engineer](https://feeny.ai/job/software-engineer-futurefit-ai-north-sq2ybd0pck0v) — North, United States
- [Director of Product](https://feeny.ai/job/director-of-product-futurefit-ai-north-fr9f9et06k97) — North, United States
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- [Strategic Account Manager](https://feeny.ai/job/strategic-account-manager-futurefit-ai-united-states-3vqmzapfhcaz) — United States
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