Manager, AI Product ManagementDiligente Technologies • San Francisco, CA, United States
Manager, AI Product Management
Diligente Technologies • San Francisco, CA, United States
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job_description.job_card.job_descriptionLead 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 KPI‑tied and value measured AI use‑case 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, e‑signature), HITL (human‑in‑the‑loop) guardrails, acceptance criteria, risks, and evaluation plans. For leasing sales : design AI‑assisted prospecting / qualification, outreach personalization, meeting / call summarization, next‑best‑action, and pipeline health insights. Present Problem Statement + Proposed Solution to Central AI for feasibility, standards, security, cost, and governance review; finalize scope (go / no‑go). 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 inter‑domain 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 cross‑domain reuse; contribute requirements back to Central AI standards.
Requirements
- Bachelor’s degree required.
- 10+ years in product management, business analysis, consulting, or similar; 3+ years leading multi‑team 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 / doc‑gen (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.
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