• Build and maintain strong relationships with business partners and the broader IT organization to deliver impactful AI solutions • Conduct analysis and gather insights to identify and prioritize high-value use cases for AI-enabled tools • Advise and consult stakeholders on build vs buy decisions • Collaborate with the team to define product goals, align with business priorities, and ensure product roadmaps reflect stakeholder needs • Develop detailed product requirements documents (PRDs), write user stories, and create functional specifications • Oversee the creation of test plans, perform system integration testing, validate test results, and address any issues during testing phases • Work closely with end users to optimize product adoption, provide training, and offer support • Create, test, iterate, and publish production-ready prompts for customer operations use cases • Mentor product specialists and business analysts, with potential to build and lead a team as the portfolio grows

• Drive execution and delivery for products within Lending Compliance solutions • Support more than 5,000 financial institutions navigating an increasingly complex regulatory environment • Work closely with Engineering and cross-functional partners to translate customer problems into high-quality product experiences • Contribute to shaping how to build an integrated, AI-enabled platform • Own product deliverable and backlog for your product area • Write comprehensive scoping and positioning documents, PRDs and product specifications • Partner closely with Engineering throughout development • Define success metrics for features and track adoption and usage post-launch • Collaborate with Director of Product Operations on launch planning and cross-functional coordination • Craft positioning and messaging, create sales enablement materials, assist in the development of customer communications

• 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.