Senior Product Manager

SambaSafety is a company dedicated to promoting safer communities through comprehensive driver monitoring software. They are seeking a Senior Product Manager to own the strategy and execution of their telematics data platform and driver risk scoring products, ensuring that these products deliver measurable outcomes for fleet operators and insurance carriers.

Responsibilities:

• Define and maintain a 12–24 month product roadmap for the telematics data platform and associated driver risk scoring capabilities, grounded in customer insight, market intelligence, and business priorities
• Set clear product OKRs and success metrics, and hold yourself accountable to them — not just feature delivery
• Make and communicate prioritization decisions transparently, including trade-offs between new capability, platform reliability, and technical debt
• Identify build, buy, and partner options and develop the business case for strategic product investment decisions
• Own the product vision for how telematics data is ingested, processed, normalized, scored, and surfaced — across hardware-agnostic, OBD, smartphone, and OEM-connected data sources
• Drive API-first product thinking: define developer-facing APIs, webhooks, and data integrations that make telematics data accessible and actionable for enterprise fleet operators and insurance partners
• Collaborate with data science and engineering teams to shape driver risk scoring models — including composite risk indices, behavioral event weighting, and trip-level analytics — ensuring outputs are interpretable, defensible, and regulatorily compliant
• Champion platform scalability, data quality, and reliability as product-level concerns, not just engineering concerns
• Conduct structured discovery with fleet risk managers, loss control professionals, insurance underwriters, and brokers to surface unmet needs and validate product hypotheses
• Maintain a living understanding of the competitive landscape across fleet telematics (Samsara, Geotab, Lytx, Verizon Connect), InsurTech scoring (Cambridge Mobile Telematics, Octotelematics), and connected vehicle data platforms
• Monitor regulatory developments — including GDPR/UK GDPR, FCRA and emerging frameworks governing the use of AI in regulated environments
• Partner with sales, marketing, and customer success to define go-to-market strategy for new product launches and feature releases — including packaging, pricing inputs, and partner enablement materials
• Support enterprise and channel sales cycles by serving as the authoritative product voice — able to articulate telematics capability, commercial value, and differentiation with credibility
• Define and manage partner integration requirements for telematics data providers, fleet management systems, and insurance core platform partners — owning the product layer of strategic partnerships
• Track product-level revenue contribution, adoption rates, and retention metrics, using these to inform roadmap decisions and internal investment cases
• Lead sprint planning, backlog refinement, and release management in collaboration with engineering and design — maintaining momentum without sacrificing quality or strategic coherence
• Produce and maintain high-quality product artifacts: requirements off of discovery and framing, user stories, acceptance criteria, API specifications, and scoring logic documentation
• Represent the product in executive reviews, partner briefings, and industry forums — communicating progress, strategy, and market context with clarity and confidence
• Collaborate and support product colleagues and contribute to raising the standard of product practice across the organization

Requirements:

• 5–10 years of product management experience, with at least 3 years in a senior role owning a complex data or platform product end-to-end
• Demonstrable domain expertise in one or more of: vehicle telematics, fleet risk management, usage-based insurance, connected vehicle data, or IoT data platforms
• Strong technical fluency — able to engage credibly with engineering and data science teams on API architecture, data pipeline design, and scoring model logic, without needing to write the code yourself
• Experience defining and launching API-first or data-as-a-product capabilities, including developer documentation, integration patterns, and partner-facing tooling
• Proven ability to translate ambiguous market opportunities into structured product strategies, roadmaps, and measurable outcomes
• Excellent stakeholder management and communication skills — able to influence without authority across engineering, commercial, and executive audiences
• Comfort operating in regulated environments, with working knowledge of data privacy obligations relevant to driver monitoring and automated decision-making (UK GDPR, FCRA etc)
• Experience in the InsurTech or motor insurance value chain — underwriting, loss control, UBI, or claims analytics
• Familiarity with driver risk scoring methodologies, including composite risk indices, motor vehicle record (MVR) integration, and telematics event classification
• Understanding of OEM-connected vehicle data ecosystems and the evolving role of embedded telematics versus aftermarket and smartphone-based solutions
• Exposure to AI/ML product development — particularly interpretable models in regulated use cases, ethical AI governance, and model explainability requirements
• Experience building and managing third-party partnership product relationships, including contract-adjacent decisions on data licensing, SLAs, and integration standards
• Awareness of emerging product considerations including EV fleet risk, ADAS data integration, and autonomous vehicle safety benchmarking
• Bachelor's degree or equivalent in Engineering, Computer Science, Data Science, or a related technical discipline; postgraduate qualification or MBA welcome but not required