• Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. • Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. • Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. • Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. • Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. • Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. • Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. • Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. • Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. • Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. • Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. • Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. • Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.

• The role of a Product Manager at Bayesian is to maximize value for our health system customers over a 1-year time horizon, ensuring our platform is an indispensable part of their standard of care every year. • Opportunity Assessment: review existing clinical literature and work with health system executives to understand their goals and validate a new module’s business case. • 0->1 PM: define the product vision, north star metrics, ROI drivers, and user stories with input from internal and external clinicians. • Rapid Prototyping: Use Cursor, Claude Code, or Codex CLI to build an interactive proof-of-concept. Iterate with end users to build trust and identify points of friction. • Product deployment: Partner with engineering, research, and the customer’s integration team to get the module deployed. Collaborate with research to define data requirements for model training and ground truth for model evals. Scope workflow requirements with the client and our engineering team. • 1-> n PM: The module is live and impacting patient care, now you must continue shipping to drive adoption and ROI. Analyze usage, debug process or institutional barriers to adoption, and continue speaking to end users to understand pain points. Guide the tech team and the client to ensure the module maximizes value for the customer.

• Own the mobile product strategy and roadmap, aligned to company and customer outcomes • Own the success and execution of initiatives, from concept to launch, including prioritizing features, creating product requirements, and coordinating release plans. • Translate complex logistics workflows into simple, intuitive mobile experiences • Maintain an exceptional product quality bar through deep collaboration during product development and ownership of launch decisions at the end of the process. • Conduct user research with drivers, warehouse teams, and operations leaders to deeply understand real-world constraints (connectivity, safety, time pressure) • Define clear requirements, success metrics, and tradeoffs for mobile initiatives • Manage execution across iOS and Android, including feature parity, performance, and reliability • Balance near-term delivery with long-term mobile platform investments • Communicate progress, decisions, and learnings to stakeholders across the company

• Define and own the product roadmap for SDSC’s surgical video analytics and data science tools across multiple domains (computer vision models, SVP features, admin console). • Translate user needs and research objectives into technical requirements and prioritized product milestones. • Collaborate with cross-functional teams to ensure timely and high-quality product delivery. • Manage product lifecycle from ideation and prototype to validation and deployment. • Gather and synthesize feedback from our users to continuously refine products. • Establish metrics to measure product success and adoption across partner institutions.