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Trusting Social · 3 months ago

AI-First Product Manager (Ops Transformation)

Dallas, TX

Full-time

Onsite

Mid, Senior Level

5+ years exp

Trusting Social is a fast-growing fintech startup transforming the debt collection industry with AI-powered automation. They are seeking an AI-First Product Manager (Ops Transformation) to redesign debt collection workflows for an AI-native organization, focusing on operational pain points and automation opportunities.

Big DataFinancial ServicesFinTechFraud DetectionIdentity Management

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)

Draft specs and 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

Qualification

Product managementOps transformationAutomation stacksAI architecturesData self-serviceSystems thinkerOperator empathScrappy builderCompliance aware

Required

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

Scrappy 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