• End-to-end product development: idea generation, market research, supplier sourcing, sample management, and launch execution. • Build scalable systems: SOPs, playbooks, and pipeline trackers to ensure repeatable success. • Lead supplier negotiations, manage quotes and samples, and maintain supplier databases. • Execute product launches on Amazon: PPC strategy, Vine enrollment, coupon campaigns, and A/B content testing. • Deliver clear, data-driven recommendations (Go/No-Go) and stand behind decisions. • Provide weekly pipeline updates and monthly portfolio reviews to leadership.

• Execute against the Compass AI product roadmap in close collaboration with the VP of Product, translating strategic direction into well-scoped, deliverable work. • Identify and prioritize high-potential AI use cases across academic advising, enrollment, financial aid, retention, and student wellbeing, drawing on our library of 170+ agent concepts and emerging market signals. • Contribute to shaping the path from current-state tooling toward agentic, autonomous workflows, including multi-agent coordination, advisor copilots, and proactive outreach systems. • Surface findings, tradeoffs, and recommendations clearly so the VP of Product and broader leadership can make informed decisions quickly. • Lead structured discovery with institutional customers to validate hypotheses, surface unmet needs, and pressure-test AI concepts before committing to build. • Spend meaningful time with advisors, enrollment counselors, financial aid staff, and other end users to understand how they work, what slows them down, and where AI can genuinely help. This is a collaborative, hands-on process and you will not be doing it alone. • Design and run pilots and prototype evaluations, synthesizing feedback to inform what to build next and where to course-correct. • Help develop and maintain a human-in-the-loop framework that ensures AI recommendations are actionable, trustworthy, and appropriately escalated. • Translate strategy into clear, actionable work across engineering and design: epics, problem statements, user stories, and success criteria that give teams what they need to move without over-specifying implementation. • Maintain a clear, up-to-date view of what is in progress, what is coming next, and what is changing and why. • Identify and resolve ambiguity before it reaches engineering. Establish consistent ways of documenting and communicating product decisions. • Partner closely with engineering to shape solutions, incorporate technical considerations early, and align on expectations before work begins. • Proactively communicate roadmap updates to Sales, Customer Success, and leadership so internal teams always know what is shipping and what is coming. • Collaborate with Legal, Compliance, and Customer Success to navigate institutional and regulatory considerations as new AI capabilities are introduced. • Partner with the go-to-market team to ensure AI capabilities are positioned and communicated in ways that land with higher ed audiences. • Support the expansion of Compass AI's agent library, including agent scope, trigger logic, escalation behavior, and intervention design across student success domains. • Help drive integration of new AI tooling (LLMs, workflow automation, data pipelines) into the Compass platform in coordination with engineering. • Stay current on the AI vendor landscape and contribute informed perspective on build vs. buy vs. partner decisions.

• Own the Agent Approve and Detect product roadmaps end to end • Lead continuous discovery with customers, prospects and internal stakeholders • Translate ideas and customer problems into low- and high-fidelity prototypes • Work closely with engineering and design to turn strategy into well-defined delivery plans • Build strong relationships across engineering, commercial, customer success and marketing • Stay close to industry trends, regulatory developments and competitor activity • Use data and metrics to inform prioritisation and measure success of shipped features

• Own the roadmap and execution across Trade surfaces • Work directly with partners to understand integration requirements • Drive product decisions on trading UX patterns, API design • Treat the API as the product • Own the metrics that matter • Collaborate with the Derivatives team • Partner with Sales and BD on strategic deals