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AI Product Owner – Contact Center AI
LinkedIn Recruiter Post
A large Telco seeks an AI Product Owner to drive Contact Center AI services, bridging business strategy and technical execution.
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
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