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Product Manager - AI Platform

Job in Halifax, Nova Scotia, B0B, Canada
Listing for: Nesto Inc.
Full Time position
Listed on 2026-07-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Job Description & How to Apply Below

Join nesto — proudly named Canadian Rocketship 2025*. A Deloitte Fast 50 company evolving alongside Canada’s top tech innovators and disrupting a 2.1 Trillion-dollar mortgage industry at light speed by building the mortgage ecosystem of the future.

BUILD lending technology with the best developers, AI engineers, and mortgage experts in the country. Work on a modern tech stack and a development framework designed to unlock your full potential and accelerate your career.

  • Hypergrowth:
    Deloitte Fast 50 — 3 years in a row
  • Tech community credibility:
    TechTO Canadian Rocketship 2025*
  • Industry leadership: CLA Lending Company of the Year — 4 consecutive years
  • Talent magnet: CMP Top Mortgage Employer 2025
  • Trusted technology: powering major financial institutions across Canada
  • An entrepreneurial culture built on trust, speed, uncomfortable ambition, being stronger together, and a relentless obsession with our clients.
WHO ARE YOU

Builders. Problem-solvers. Curious minds. People who move fast, embrace innovation, and believe we're stronger together.

ABOUT NESTO AND NESTO CLOUD

Canada's leading mortgage technology company.

Nesto is Canada’s leading provider of mortgage technology and financing solutions, managing $73B+ CAD in residential and commercial mortgages, with 1,000+ team members across 12 offices nationwide. You will be working on Nesto Cloud, Canada’s most advanced cloud platform, delivering end-to-end technology solutions for lenders in the digital age.

ABOUT

THE ROLE

At nesto, we are building Maestro: an AI platform that makes mortgage professionals dramatically more productive across sales, underwriting, and loan servicing. This is not "AI theater"— Maestro is already live, actively assisting underwriters with real files today.

As the Product Manager for the AI Platform, you will help turn this early proof-of-concept into the platform that defines AI-augmented lending in Canada. You will sit at the intersection of complex operational workflows, machine learning, and real mortgage expertise to turn hard problems into shipped product.

Why nesto’s approach to AI is different:
  • We sit where the work happens: We have direct access to the workflows, policies, and expert feedback inside real mortgage operations across the full lending journey.
  • Built for a regulated industry: Most AI companies build isolated demos or point solutions. We embed AI directly into production, continuously learning from human underwriter judgment.
  • End-to-end integration: We don't just solve one piece of the puzzle; we connect the full lending stack to make AI practically and systemically useful.
WHAT YOU’LL BE DOING
  • Turn complex operational reality into clear PRDs, decision logic, and shipped product
  • Work closely with ML, engineering, underwriting ops, and business stakeholders to define and deliver the roadmap
  • Define and improve the metrics that matter: throughput, time-to-decision, accuracy, and capacity gained
  • Build tight feedback loops between AI output and expert human judgment
  • Keep execution moving in a high-ambiguity, high-accountability environment
  • Stay ahead of how AI is reshaping mortgage origination and bring informed recommendations to the roadmap
  • Share what you discover — how you work should make the people around you better
WHO WE'RE LOOKING FORThe profile.
  • 3-5 years of experience in consulting or a high-ownership product role in a complex environment
  • Ability to write clearly, think structurally, and go deep on systems, data, and edge cases
  • Comfortable operating without perfect inputs — you find the truth, make the call, and drive the work forward
  • P roven, active fluency with AI tools across your PM workflow: discovery, testing, documentation, analysis, and measurement.
  • S trong communication skills with the ability to explain complex concepts clearly to non-experts in Product and Engineering
PREFERRED BUT NOT A MUST
  • M ortgage or regulated financial services experience — curiosity, rigor, and execution matter more
  • Familiarity with LOS systems, origination platforms, or lending technology
  • Exposure to AI or ML-assisted decisioning, document intelligence, or automation in a financial services context
  • Familiarity with broker and advisor-facing…
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