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About the role

  • Technical Product Manager focusing on product strategy and integration ecosystems at Method. Leading QuickBooks sync, APIs, and customer experiences.

Responsibilities

  • Own the product strategy and roadmap for Method’s Connect & Integrations surface.
  • Lead product work across QuickBooks Online sync, APIs, integration workflows, and related customer experiences.
  • Balance near-term customer needs with long-term platform, reliability, and ecosystem investments.
  • Identify opportunities to expand Method’s integration ecosystem beyond today’s core accounting sync use cases.
  • Translate company priorities into clear product bets, sequencing, and measurable outcomes.
  • Define and improve metrics related to sync reliability, integration health, activation, support reduction, customer trust, API adoption, and retention.
  • Explain complex technical investments in simple customer and business terms.
  • Build alignment with engineering, design, support, success, sales, marketing, and leadership.
  • Communicate tradeoffs, risks, decisions, and progress with clarity.
  • Help internal teams understand how Connect & Integrations work contributes to activation, retention, customer trust, and long-term platform value.
  • Build trust through strong judgment, high ownership, and consistent follow-through.
  • Partner deeply with engineering on sync behaviour, APIs, data movement, edge cases, system contracts, reliability, scalability, and operational tooling.
  • Clarify expected system behaviour before implementation begins, especially in complex technical workflows.
  • Help the team make strong tradeoff decisions across customer impact, technical risk, support burden, and long-term maintainability.
  • Write clear product requirements, technical product briefs, decision documents, and stakeholder updates.
  • Ensure technical investments are connected to customer-visible value and business impact.
  • Build a deep understanding of how SMB customers experience integrations, sync, errors, setup, troubleshooting, and recovery.
  • Use customer interviews, support cases, sales feedback, product analytics, and incident patterns to identify high-value opportunities.
  • Work with design to make complex technical workflows understandable and usable for non-technical customers.
  • Ensure product decisions are grounded in real customer behaviour, not only internal assumptions.
  • Use AI tools as a natural part of your product management workflow.
  • Apply AI to accelerate research synthesis, customer feedback analysis, technical exploration, product specs, documentation, prototyping, and communication.
  • Demonstrate strong judgment in how AI can improve speed, quality, and clarity without replacing product thinking.
  • Help raise the standard for how Product at Method works in an AI-native environment.

Requirements

  • Experience using AI tools to improve the speed and quality of product work, including research, analysis, documentation, synthesis, prototyping, or communication.
  • Minimum of 5+ years of product management experience.
  • Product management experience across at least two different companies, or a track record of shipping meaningful products across different stages of complexity and scale.
  • Experience owning technical product areas such as APIs, integrations, sync systems, platforms, developer tools, data products, infrastructure-adjacent systems, or complex workflow products.
  • Experience improving reliability, error handling, troubleshooting, integration health, observability, or customer-facing recovery experiences.
  • Strong ability to partner with engineering on technical tradeoffs, edge cases, constraints, and system behaviour.
  • A track record of improving measurable outcomes, not just shipping features.
  • Strong analytical skills and comfortable using data, customer feedback, support signals, and product metrics to guide prioritization.
  • Strong customer empathy, especially for non-technical users interacting with technical systems.
  • Excellent critical thinking skills.
  • Comfort operating as an individual contributor with high ownership and ambiguity.

Benefits

  • Flexible hybrid work model
  • Collaborative and social team culture
  • Growth-stage company experience
  • Training
  • Great downtown location
  • Comprehensive health benefits
  • Weekly lunch credit
  • High-impact product ownership
  • Opportunity to shape the future
  • AI-native product environment

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$90,000 - CA$130,000 per year

Degree requirement

Bachelor's Degree

Location requirements

HybridTorontoCanada

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