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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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 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.
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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