Director of Product Management

Measurabl•Remote (CA, US), CA

19h•Remote

About The Position

The Director of Product Management at Measurabl is responsible for leading the product development and design teams, and overseeing the entire product lifecycle, from ideation to market launch and continuous improvement. This role entails working closely with cross-functional teams, including engineering, marketing, and sales, to ensure successful product outcomes aligned with company objectives and market needs. In addition to the core responsibilities of the role, this position requires a genuine point of view on how AI changes what gets built and how it should be evaluated — not AI as a bolt-on feature set, but as a shift in how products are built, tested, and trusted. Because Measurabl's products sit at the intersection of commercial real estate and sustainability/ESG data, this role also requires comfort with a data environment that is fragmented and often manually entered, and an understanding of the audit-grade accuracy bar that regulatory-adjacent reporting requires.

Requirements

5+ years in B2B Product Management.
2+ years leading Product Management teams.
Experienced and interested in coaching and developing Product team members.
Familiarity with data-driven decision making.
Experienced working in an Agile (Scrum) development environment.
Ability to get things done in a highly collaborative, distributed and ambiguous environment.
Well versed in successful approaches towards product/feature launches.
Demonstrated high-level critical thinking skills.
Superior communication skills.

Nice To Haves

Genuine point of view on how AI changes what gets built and how it should be evaluated.
Comfort with a data environment that is fragmented and often manually entered.
Understanding of the audit-grade accuracy bar that regulatory-adjacent reporting requires.

Responsibilities

Collaborate with senior management to develop and refine the product vision and strategy.
Translate business strategy into actionable product roadmaps with clearly defined milestones.
Conduct market and competitive analysis to ensure our products meet and exceed industry standards, including standards set by leading AI-native and proptech companies.
Make explicit trade-offs in the roadmap and be able to defend what the team is deliberately not building.
Weigh where AI and automation genuinely improve the product against the cost, complexity, and risk they add, and reflect that judgment in roadmap and build-vs-buy decisions.
Lead and manage a team of product managers, designers, and related staff, setting clear goals and expectations.
Foster a culture of innovation and high performance through effective leadership and mentorship.
Oversee recruitment, training, and development of product management staff to build a high-caliber team.
Build the team's ability to assess AI/ML feature quality before launch — including reading model performance data — so ship decisions are made on evidence, not enthusiasm.
Ensure timely delivery of products through effective planning and coordination with engineering teams.
Drive product development priorities and resource allocation, ensuring optimal deployment of personnel and budgets.
Monitor product performance metrics and make data-driven decisions to enhance product offerings.
Set accuracy and reliability benchmarks for any AI-powered feature before it ships, and hold or delay a launch when those benchmarks aren't met, even under schedule pressure.
Track the ongoing accuracy of AI-powered features in production with the same rigor applied to other product metrics, given the regulatory stakes of our customers' data.
Manage the product management budget, ensuring efficient use of resources.
Plan and allocate resources in alignment with strategic priorities and financial objectives.
Weigh the cost, latency, and control trade-offs of building, licensing, or fine-tuning AI capabilities as part of resource planning.
Serve as the key product evangelist, communicating the product vision and value proposition internally and externally.
Build strong relationships with key stakeholders to ensure alignment and support for product initiatives.
Represent product directly to enterprise customers who are domain experts (e.g., sustainability directors, facilities managers) rather than software buyers, and navigate multi-stakeholder buying and adoption processes.
Ensure customer-facing AI features include clear human review and escalation paths, and can be explained plainly to customers and auditors.