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Senior Technical Product Manager

Open 34d posting dated 3 weeks ago

Summary

Leads AI platform and data product initiatives, coordinating cross-functional teams to deliver APIs, data products, and AI workflows in a hybrid Toronto role.

Overview:

We are looking for a Senior Technical Product Manager (TPM) to support delivery across Guidepoint's AI Platform and Data Products initiatives. This role will partner closely with Product, Engineering, Operations, Compliance, Sales, and Client Service teams to drive execution of strategic programs, including AI-powered workflows, MCP (Model Context Protocol), APIs, data products, and internal services.

The Senior TPM will play a critical role in shaping product roadmaps, coordinating cross-functional teams, managing dependencies, tracking delivery, and ensuring successful launches across multiple workstreams.

This is a Hybrid role in our Toronto office.

What You'll Do:

Product Planning & Roadmap Management

  • Partner with Director of Product to develop and maintain product roadmaps across multiple initiatives.
  • Write detailed product requirements, define acceptance criteria, and partner with engineering to estimate, sequence, and deliver features.
  • Help prioritize initiatives based on business impact, customer needs, technical complexity, and resource constraints.
  • Translate business requirements into clear project plans, milestones, and execution strategies.
  • Track roadmap commitments and ensure teams remain aligned on priorities.
  • Assist with defining project scope, success metrics, launch plans, and operational readiness requirements.

Program & Project Delivery

  • Drive execution of multiple concurrent programs across AI, data, and platform initiatives.
  • Maintain project plans, timelines, dependencies, risks, and mitigation plans.
  • Proactively identify blockers and coordinate resolution across teams.
  • Ensure projects are delivered on time and aligned with business objectives.
  • Coordinate engineering, operations, product, and business stakeholders throughout the development lifecycle.
  • Help establish scalable processes for AI products, APIs, and data platform initiatives.

Stakeholder Management & Communication

  • Serve as a key liaison between Product, Engineering, Operations, Compliance, Sales, Client Service, and Executive Leadership.
  • Facilitate project meetings, document decisions, and drive action items to completion.
  • Communicate program status, risks, dependencies, and milestones to stakeholders at all levels of the organization.
  • Prepare executive updates, status reports, roadmap reviews, and launch communications.

Partner & Vendor Coordination

  • Support projects involving external technology partners and vendors.
  • Coordinate onboarding, testing, and launch activities for third-party integrations and MCP partners.

Product Launch Support

  • Coordinate internal testing, user acceptance testing, rollout planning, and operational readiness.
  • Partner with Product and Engineering teams to ensure successful delivery and adoption of new capabilities.

What You Have:

  • 7+ years of experience in Technical Product Management.
  • Experience working closely with software engineering teams to deliver technical products or platform initiatives.
  • Hands-on experience managing API, integration, SaaS platform, and data products.
  • Strong understanding of the product development lifecycle, including requirements gathering, prioritization, roadmap planning, release management, testing, and launch readiness.
  • Strong project planning, organization, and execution skills.
  • Excellent stakeholder management and communication abilities.
  • Ability to manage multiple priorities simultaneously in a fast-paced environment.
  • Experience using Jira, Confluence, and related collaboration tools.
  • Familiarity with Agile software development methodologies.
  • Strong analytical and problem-solving skills.
  • Ability to navigate ambiguity and create structure across cross-functional teams.

Nice to Have:

  • Experience with AI/ML products, AI workflows, MCP (Model Context Protocol), AI platform integrations, or developer platforms.
  • Familiarity with APIs, OAuth, authentication flows, entitlements, rate limits, and developer documentation.
  • Experience working with modern data platforms such as Databricks, or similar environments.
  • Experience supporting product launches and go-to-market initiatives.
  • Experience coordinating distributed or offshore engineering teams.

What We Offer:

The annual base salary range for this position is 150,000 - 180,000 CAD. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

  • Paid time off
  • Comprehensive benefits plan
  • Company RRSP match
  • Development opportunities through the LinkedIn Learning platform

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

#LI-AP1

#LI-Hybrid

This job post is for a live vacancy. Base salary may vary depending on job-related knowledge, skills, and experience, as well as geographic location.

Compensation
$150,000$180,000 CAD

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Location

  • LinkedIn Profile
  • How did you hear about this job? optional
  • Are you legally authorized to work in Canada? choose one
  • What is your desired compensation?
  • Are you comfortable with in-office/hybrid work arrangements at our Toronto office? choose one
  • How many years of experience do you have working in a Technical Product Management role? choose any
  • Have you owned the roadmap and delivery of a technical product while working directly with software engineering teams? choose one
  • Which of the following products have you directly managed? (Select all that apply.) choose any
  • Which best describes your experience with AI products? choose one
  • Have you managed products involving APIs, integrations, or platform services? choose one
  • Which of the following have you personally created? (Select all that apply.) choose any
  • I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for Guidepoint Global to hire me. I attest by checking the box below that I have given to Guidepoint Global true and complete information on this application. No requested information has been concealed. I authorize the Company to contact references provided for employment reference checks. If any information I have provided is untrue, or if I have concealed material information, I understand that this will constitute cause for the denial of employment or immediate dismissal. choose any

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