AI-First Product Manager (Ops Transformation)

Responsibilities

• Immerse in daily collections ops to map SOPs and surface pain points.
• Apply Jobs-to-Be-Done and anthropological methods to reframe operator needs.
• Identify and rank-order automation opportunities by reach, impact, compliance risk, and more (RICE + risk-tier).
• Design and execute specs, either prototype yourself or manage lightweight engineering builds.
• Ship scrappy MVPs quickly; measure cycle-time, compliance adherence, and throughput.
• Capture learnings in shareable posts, SOPs, and the AI-First Ops Handbook so wins compound.
• Apply strict guardrails: T0-T3 risk tiers, human-in-the-loop where required.
• Define automation governance artifacts (SLAs, SOPs, audit logs).
• Ensure AI workflows are explainable, auditable, and compliant.
• Track adoption: % of ops tasks starting with AI.
• Measure business outcomes: revenue impact, FTE leverage, error reduction.
• Industrialize successful prototypes into repeatable modules.

Requirements

• Must have 5+ years in product management, ops transformation, or program management.
• Proven track record of translating manual SOPs into automated, governed workflows.
• Experience working in or adjacent to regulated industries (fintech, healthcare, collections, gov).
• Familiarity with automation stacks (RPA, workflow orchestration, APIs) and emerging AI architectures (LLMs, agentic systems).
• Data self-service skills (SQL, dashboards) a plus.
• Startup-tested: you can bring order without needing layers of process to get going.

Preferred

• Start with AI: treat automation as the reflexive first step in ops design.
• Human as router: know when to elevate to judgment, compliance, or context.
• Compound wins: document and share so no automation stays siloed.
• Culture builder: normalize AI-first rituals (e.g., “AI Win of the Week”) to drive adoption.
• Execution-first: You thrive in ambiguity, move from pain points to working solutions fast.
• AI-native reflexes: You know LLMs, RAG, embeddings, and agentic orchestration — not just in theory but in how they reshape real workflows.
• Systems thinker: You can zoom out to see the process end-to-end and zoom in to fix the brittle step that breaks it.
• Operator empath: You can shadow a frontline operator and feel where the friction lives.
• Scrap builder: Bonus if you can prototype in Cursor IDE/Claude code or SQL; at minimum, you’re fluent enough with code to direct engineers effectively.
• Compliance aware: You respect the red lines — automation never compromises legal, regulatory, or reputational guardrails.