Diligente Technologies
Manager, AI Product Management
Diligente Technologies, San Francisco, California, United States, 94199
Overview
Direct message the job poster from Diligente Technologies
Responsibilities
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 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.
Qualifications
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.
Seniority Level Mid - Senior
Employment Type Full‑time
Job Function Product Management
Location & Compensation San Francisco, CA $230,000 - $355,000
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Responsibilities
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 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.
Qualifications
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.
Seniority Level Mid - Senior
Employment Type Full‑time
Job Function Product Management
Location & Compensation San Francisco, CA $230,000 - $355,000
#J-18808-Ljbffr