• Work closely with the **CTO/CPO and Product Manager** to shape and refine product direction • Translate strategic ideas into **clear product opportunities, bets, and deliverables** • Lead **discovery efforts**, combining customer insight, product understanding, and data where appropriate • Create **lean product briefs, user flows, and wireframes** to align teams quickly • Collaborate day-to-day with the **Engineering Manager and engineers** to explore solutions and manage trade-offs • **Own and actively manage the team’s backlog**, ensuring: • Clear prioritisation aligned to strategic direction and current bets • Work is well-defined, appropriately scoped, and ready for development • Continuous grooming and refinement as priorities evolve • Drive delivery across a range of work types: • Early-stage experiments and proof of concepts • MVPs and initial product releases • More developed features requiring sustained iteration • Break down complex ideas into **clear, iterative deliverables** • Make informed calls on **what to pursue, iterate, pause, or stop** • Ensure successful initiatives are **positioned for handoff** to other teams when appropriate • Maintain momentum and clarity across **ambiguous and evolving problem spaces

• Lead product areas end-to-end: setting strategy, driving discovery, and owning outcomes from launch through iteration. • Develop deep fluency with Cove's customer segments and become a trusted voice on their workflows, pain points, and priorities. • Drive sprint ceremonies and agile rituals with enough experience to adapt the process to what the team actually needs. • Rapidly prototype concepts using AI tools to validate bets before committing engineering resources. • Partner with sales, marketing, and customer success to shape positioning and close feedback loops. • Raise the bar on discovery rigor, documentation quality, and cross-functional collaboration.

• Be central to product ideas end-to-end from discovery through delivery. • Spend regular time with customers: join discovery calls, shadow property teams in the field, and synthesize feedback into clear problem statements. • Drive sprint ceremonies and agile rituals with enough experience to adapt the process to what the team actually needs. • Prototype rapidly using AI tools and low-code/no-code environments to test ideas before committing engineering resources. • Collaborate with go-to-market teams to support launches, sales enablement, and customer education.

• Manage and grow the sports betting vertical, focusing on engagement and retention • Plan and execute sportsbook tournaments, seasonal promotions, and special events • Coordinate with sportsbook providers to optimize odds, data feeds, and product delivery • Negotiate commercial terms and discounts with providers • Collaborate with CRM and marketing teams to launch targeted campaigns • Monitor KPIs, analyze performance, and identify growth opportunities • Adapt sportsbook content to geo-specific markets and key sports events • Ensure all activities comply with legal and licensing requirements