Manager, AI Product Management (San Francisco)

Lead and mentor a team of IT Business Analysts, driving requirements gathering, process optimization, and solution alignment with business needs Run discovery with business leaders/SMEs; map processes (BPMN 2.0) across the leasing lifecycle, legal, and doc generation/repository flows. Identify opportunities across three pillars: document intelligence, agentic workflow automation, and leasing sales AI. Build a KPItied and value measured AI usecase backlog; define a portfolio investment thesis and quarterly priorities. From BPMN flows, select the right agent architecture based on task structure, uncertainty, and control needs. Author conceptual designs: user journeys, prompt/pattern libraries, retrieval strategies, tool/API integrations (e.g., CRM, DRS, CLM, esignature), HITL (humanintheloop) guardrails, acceptance criteria, risks, and evaluation plans. For leasing sales: design AIassisted prospecting/qualification, outreach personalization, meeting/call summarization, nextbestaction, and pipeline health insights. Present Problem Statement + Proposed Solution to Central AI for feasibility, standards, security, cost, and governance review; finalize scope (go/nogo). Ensure initiatives adhere to platform/architecture standards and reuse components where possible. Act as Product Lead across multiple teams: roadmaps, backlogs, sprint goals, and SOWs; manage delivery risks and interdomain dependencies. Coordinate data access and design with D&A/Tech BAs; ensure builds conform to enterprise standards and privacy/PII controls. Pilot, iterate, and scale; drive change management, training, and communications with Leasing/Legal/Doc Gen stakeholders. Monitor adoption, quality, cost, latency, and safety; own business value realization vs. plan. Capture and publish patterns/playbooks for crossdomain reuse; contribute requirements back to Central AI standards.

Requirements Bachelors degree required. 10+ years in product management, business analysis, consulting, or similar; 3+ years leading multiteam initiatives or portfolios. Expert BPMN/process modeling and process redesign; strong workshop facilitation. AI literacy across document intelligence and agentic workflows: prompts & evaluation basics, retrieval concepts and strategies, tool/function calling, vector DB fundamentals, HITL design, and agent patterns. Product leadership: backlog & roadmap ownership, MVP scoping, vendor management, agile delivery, stakeholder communication & prioritization. Domain fluency in leasing/legal/docgen (contract templates & clauses, redlining/approval flows, repository, and retention). Demonstrated ability to operate independently with initiative, influence diverse stakeholders, and thrive in a high-performing, results-oriented culture.