Director, Product Management (AI)

Location: London, England, United Kingdom. Hybrid work model with an expectation to work onsite at least 50% of the time when within commuting distance of a hirify.global office.

Company

hirify.global provides AI-enabled governance, risk and compliance SaaS solutions through the hirify.global One Platform.

What you will do

• Own the product vision, strategy, roadmap and prioritisation for the Stewardship Intelligence portfolio.
• Lead and organise the Product Management and Research teams, establishing priorities, effective ways of working and accountability.
• Improve dataset coverage, methodology, quality, traceability and timeliness through process redesign, automation and AI-enabled approaches.
• Partner with Engineering and UX to build and launch product experiences and Data-as-a-Service capabilities.
• Use customer research, market insight and product data to address the needs of institutional asset managers, governance professionals, advisers, consultants and corporate issuers.
• Work with Commercial, Marketing, Sales and Customer Success on product positioning, launches, adoption and customer value.

Requirements

• Significant experience in Product Management, Research Operations, Data Products or a related discipline, including team leadership and strategy for complex products or datasets.
• Substantial experience in stewardship, proxy voting, corporate governance, executive compensation, investor relations or a closely related capital-markets domain is mandatory.
• Experience delivering B2B SaaS, data or intelligence products from customer discovery and strategy through roadmap execution, launch and performance improvement.
• Experience leading research or data operations teams responsible for large-scale structured datasets and enterprise-grade quality standards.
• Demonstrated success improving manual processes through operating-model redesign, automation or AI while maintaining quality and control.
• Exceptional communication, analytical judgement and stakeholder-management skills across Product, Engineering, UX, Commercial, Marketing, Sales and Customer Success.

Nice to have

• Experience with Data-as-a-Service, data feeds, data licensing or other data-product business models.
• Hands-on experience applying LLMs, machine learning or intelligent automation to regulatory filings and unstructured documents.
• Familiarity with data provenance, research methodology, quality frameworks and governance of externally sourced data.
• Experience with organisations comparable to market-intelligence providers.

Culture & Benefits

• Flexible work environment with a focus on innovation and collaboration.
• Comprehensive health benefits, generous time off, wellness programmes and meeting-free days.
• Global days of service and diversity-focused employee resource groups.
• Office hubs include New York City, Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore and Sydney.
• AI and digital tools support recruitment administration, while final hiring decisions are made by people.