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Product Manager

@ Ascendance Foundry

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Toronto, Ontario

HybrideTemps plein2+ ans d’expérience
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SIGNAUX

En bref

Ascendance Foundry is hiring a full-time Product Manager to lead product direction and execution for AI-enabled client engagements. The role covers discovery with client stakeholders, defining MVP scope and backlogs, coordinating delivery with architects and engineers, and mentoring Ascendance Fellows. Requires 2–8 years of product experience and working knowledge of modern AI systems.

Responsabilités :

  • Lead product discovery and define MVP scope with client stakeholders
  • Translate business problems into requirements, roadmaps and backlogs
  • Manage sprint planning and delivery cadence with engineering teams
  • Guide Ascendance Fellows on product thinking and user research

Résumé des exigences :

  • 2–8 years in product management or similar roles
  • Experience with B2B products, internal tools or AI/data-driven systems
  • Working understanding of LLMs, RAG, APIs and data pipelines
  • Strong communication with technical and non-technical stakeholders
Source et dates

Type de source non vérifié · dover

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-11-05
Mise à jour du dossier source
2026-11-05

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineGestion de produit
Expérience2 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau, Chez les clients
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Ascendance Foundry

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ChampValeur
Offres sur Jobsy3
Description

Product Manager – Ascendance Foundry

Who we are

Ascendance Foundry (AF) is built on two beliefs:

  • Apprenticeship belongs at the centre of education

  • Winning with AI demands the fastest workforce retraining in history

Our Ascendance Fellowship program embeds a top student on your team after they have completed an intensive bootcamp focused on AI tools. The placement is supported by structured mentorship from seasoned founders, executives, and technical leaders.

Through our flagship Ascendance Fellowship, we recruit top students from universities and high schools, train them in AI-first problem solving, and embed them into real client projects alongside experienced operators. Our programs combine intensive bootcamps, hands-on project work, expert talks, and mentorship from an “Expert Network” of industry leaders.

About the role

As a Product Manager at AF, you will lead product direction and execution for client engagements—working at the intersection of business strategy, user needs, and technical delivery. You will partner closely with Solutions Architects, engineers, and Ascendance Fellows to define, scope, and ship AI-enabled products and internal tools for our clients.

This is a highly entrepreneurial role suited for operators who enjoy ambiguity, fast iteration, and working directly with clients to build meaningful, production-grade solutions.

Key Responsibilities

Own Product Direction for Client Engagements

  • Lead product discovery with client stakeholders to understand workflows, pain points, and success metrics

  • Translate ambiguous business problems into clear product requirements, roadmaps, and prioritized backlogs

  • Define MVP scope and iterate rapidly based on user feedback and real-world usage

  • Align stakeholders on product vision, trade-offs, and delivery timelines

Drive Execution and Delivery

  • Work closely with Solutions Architects and engineers to translate requirements into technical plans

  • Manage sprint planning, prioritization, and delivery cadence across project teams

  • Ensure high-quality, user-centric outputs that deliver measurable business value

  • Continuously refine product direction based on data, user feedback, and evolving client needs

Bridge Business, Users, and Technology

  • Communicate product decisions in terms of ROI, operational impact, and scalability

  • Collaborate with technical teams on feasibility, constraints, and system design decisions

  • Help clients operationalize and adopt delivered solutions within their organizations

Support and Mentor Ascendance Fellows

  • Provide guidance to Fellows on product thinking, user research, and prioritization

  • Help structure work in a way that creates a strong apprenticeship experience while maintaining delivery quality

What you’ll bring

Mindset

  • Strong product intuition paired with first-principles thinking

  • Comfort operating in ambiguous, fast-moving environments

  • Bias toward action and rapid iteration

  • Ability to simplify complex problems into clear, actionable plans

  • Strong communication skills across both technical and non-technical stakeholders

Product Skills

  • Experience with product discovery, user research, and defining MVPs

  • Strong ability to write clear product requirements and manage backlogs

  • Familiarity with agile/iterative development processes

  • Comfort working alongside engineering teams building data and AI-driven products

Technical Fluency (not necessarily hands-on coding)

  • Working understanding of modern AI systems (LLMs, RAG, APIs, data pipelines)

  • Familiarity with how software systems are built and deployed (cloud, APIs, databases)

  • Ability to engage meaningfully with engineers and Solutions Architects on trade-offs

Experience

  • 2–8 years in product management, product strategy, or similar roles

  • Experience working on B2B products, internal tools, or data/AI-driven systems

  • Experience working directly with clients or cross-functional stakeholders

  • Experience leading small teams or owning end-to-end product delivery

Why you’ll love working with AF

  • Work directly with founders, executives, and operators across a wide range of industries

  • Build and ship real products—not decks or theoretical strategies

  • High autonomy and ownership over product decisions

  • Exposure to cutting-edge AI applications across sectors

  • Opportunity to mentor and shape the next generation of technical talent

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