
Senior Product Manager, AI & 3rd Party Products
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in Canada.
• Take ownership and prioritize the roadmap for OPM and Sustainability, transforming stakeholder feedback and discovery insights into a clear product direction that partner teams can effectively implement.
• Facilitate discovery sessions with Sustainability Operations, implementation teams, and enterprise clients to identify workflow challenges and validate product direction.
• Oversee third-party platforms by managing configurations, monitoring vendor roadmaps, conducting structured enhancement reviews, and determining where AI augmentation can enhance native platform capabilities.
• Collaborate with engineering to build AI prototypes using LLM tooling and MCP integrations to validate use cases prior to committing to full-scale development.
• Draft integration specifications for data pipelines and API connections with adequate technical detail to guide engineering discussions.
• Establish KPIs and success metrics for each initiative and effectively communicate outcomes to product leadership and client stakeholders.
• Serve as a liaison between OPM and Sustainability business teams and the data and engineering organization.
• A minimum of 5 years of product management experience in enterprise B2B SaaS, demonstrating a history of owning complex, integration-driven platforms.
• Proven experience collaborating with data and application engineering teams to deliver features that provide value to end users.
• Established experience managing third-party product relationships, including vendor governance, roadmap synchronization, enhancement prioritization, and making informed buy/build decisions.
• Practical AI product development experience defining agent use cases, utilizing LLM tooling, and differentiating between demonstrations and production-ready capabilities.
• Strong technical understanding of data models, integration architecture, REST APIs, and cloud data platforms (such as Azure, Databricks, or comparable).
• Excellent communication skills, capable of conveying technical concepts to executive and client audiences with clarity and confidence.
• Comfortable collaborating across data engineering, analytics, and product teams with the ability to influence stakeholders without direct authority over the backlog.
• Discretionary bonuses
• Comprehensive benefits package
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