Product Manager - Platform Intelligence, AI​/ML; United Kingdom

About Accelerant

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating.

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As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. You’ll work closely with Design, Engineering, and Decision Science to build tools that help participants across our platform make more informed decisions about selecting, pricing, and managing specialty insurance risk.

This role sits at the intersection of data science, engineering, insurance, and product thinking - and plays a critical part in enabling Accelerant to be a product-led organization.

• Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives.
• Identify new ways to apply statistical and machine learning models to support risk selection, pricing, aggregation monitoring, catastrophe response and portfolio management.
• Partner with Product Design and Decision Science teams to explore, test, and validate product ideas through data and user insights.

• Own the roadmap for risk scoring, aggregation monitoring, and geo-analytics tools.
• Translate model outputs into scalable product features that provide value to underwriters, capital providers, and other users of the platform.
• Prioritize and manage a clear backlog in collaboration with Engineering and technical leads, ensuring clarity of scope and alignment with team goals.
• Work with other Product Managers and functional teams to ensure the delivery of high-quality and high-impact capabilities.
• Partner with MGA Members, Member Relationship Directors, and Risk Capital partners to deeply understand their needs and translate those into product opportunities.
• Collaborate with actuaries, underwriters, engineers, and data scientists across Accelerant to ensure solutions are feasible, scalable, and effective.
• Co-create with Product Design to shape intuitive workflows, test product concepts, and improve usability through iteration.
• Champion a culture of continuous improvement around data practices across Product & Tech and the broader organization, identifying opportunities to streamline workflows, improve quality, and support better decision-making.

• At least 5 years experience as a Product Manager delivering commercial products that leverage AI/ML or advanced analytics.
• Background in data-rich product domains, with comfort in translating technical output into user-facing tools.
• Familiarity with P&C specialty insurance, especially underwriting or portfolio management. Experience working with geo-analytics, including concepts like aggregation, map-based interfaces, weather layers and peril overlays.
• Understanding of geo-indexing (e.g., H3) and its application in insurance geo-analytics. Experience working with modern data platforms such as Snowflake.
• Strong written and verbal communication skills, especially when working across disciplines.
• Ability to work independently, navigate ambiguity, and make progress without full direction.

• Experience with distributed teams and remote collaboration.
• Comfort working with executives and presenting product decisions clearly.
• Experience co-developing solutions with cross-functional teams through collaborative exploration and iteration.
• Familiarity with the Insurtech or Fintech space.

• Are energized by solving complex problems with a cross-functional team.
• Are comfortable in a fast-moving environment with changing priorities. Seek input, challenge assumptions, and welcome feedback.
• Are comfortable digging into technical…