• Own AI product strategy for investor workflows: Define how AI transforms the way public market investors consume, analyze, and act on data. • Build AI-native products, not just features: Design end-to-end experiences across agents, copilots, and structured outputs, not just UI layers on top of models. • Translate frontier AI into real-world utility: Evaluate and integrate LLMs, retrieval systems, and agent architectures into production-grade products. • Work directly with customers: Partner with hedge funds and asset managers to deeply understand workflows, pain points, and trust requirements. • Drive rapid experimentation and iteration: Run tight feedback loops across prompts, evals, and product UX to continuously improve performance and usefulness. • Collaborate across disciplines: Work closely with engineering, data, research, and design to ship high-quality, high-impact products, while communicating clearly with both technical and non-technical partners. • Define quality, reliability, and trust: Establish evaluation frameworks for AI outputs, ensuring accuracy, consistency, and investor-grade reliability. • Shape the future of the platform: Contribute to how MCPs, agents, and APIs evolve into a unified, reliable, and safe AI product ecosystem.

• Help define product vision and strategy while owning the roadmap to deliver on the strategy, aligned to customer needs, company priorities, and growth goals. • Conduct customer discovery, market research, and competitive analysis to identify opportunities in workflow improvement, analytics, reporting, and data monetization. • Own product initiatives with support from product and cross-functional leaders, partnering with engineering, design, and data teams to translate business needs into product requirements, user stories, and measurable outcomes. • Support prioritization decisions across competing opportunities, balancing customer value, technical feasibility, strategic fit, and commercial impact. • Use quantitative and qualitative data to evaluate product performance, customer behavior, feature adoption, retention, and expansion opportunities, and translate insights into action. • Partner with sales, marketing, and customer success teams on go-to-market planning, customer enablement, and launch readiness for new capabilities. • Prepare business cases, performance updates, and product recommendations grounded in product, customer, and revenue data.

• Define, prioritize, and maintain the product backlog. • Translate business needs into clear, detailed user stories. • Collaborate with stakeholders to identify opportunities and requirements. • Ensure alignment between strategic objectives and the product roadmap. • Participate in agile ceremonies (Planning, Daily, Review, and Retrospective). • Support the development team in understanding business rules. • Monitor product metrics, user experience, and business outcomes. • Validate deliverables and ensure acceptance criteria are met before release to production. • Identify risks, dependencies, and continuous improvement opportunities. • Conduct market, competitor, and trend analyses for product evolution.

• Own the long-term vision, strategy, and roadmap for the Telematics data platform, balancing enterprise-grade reliability with feature innovation. • Partner closely with R&D leads to solve core platform challenges and deliver enterprise-grade reliability for key data services. • Lead defining and launching customer-facing Telematics APIs, webhooks, and data integrations for the Enterprise segment. • Drive platform readiness for strategic initiatives, including international expansion. • Collaborate with AI teams to make telematics data a core component of Motive's AI differentiation, including new analytics and automated workflows. • Mentor and coach other Product Managers on the team to scale the product function within this critical domain. • Lead the charge in productizing telematics data directly by building API-first products and rich integrations for the largest Enterprise customers. • Serve as the central pillar of product leadership, wrestling with complex engineering challenges and driving alignment across the company.