Diligente Technologies
Manager, AI Product Management Job at Diligente Technologies in San Francisco
Diligente Technologies, San Francisco, CA, US
- 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.
- 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.
Requirements