
Senior Product Manager
Red Oak ISD
full-time
Posted on:
Location Type: Hybrid
Location: North Austin • Texas • United States
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Job Level
About the role
- Own the AI product roadmap end-to-end — from discovery through delivery — for our Compliance solution. Evaluate and prioritize AI opportunities based on client impact, technical feasibility, regulatory risk, and business value.
- Define, track, and communicate success metrics for AI features: accuracy, adoption, time-to-insight, exception rates, and model drift.
- Conduct ongoing discovery with wealth managers, compliance officers, sales, and technology buyers to understand their workflows, pain points, and AI readiness. Translate client needs into clear product direction — including PRDs, opportunity assessments, and executive-ready narratives.
- Champion responsible AI practices in client conversations — addressing bias, hallucination risk, data privacy, and auditability proactively. Design for human-in-the-loop workflows where AI accelerates and humans supervise.
- Partner with engineering to shape AI system design and ensure requirements are technically grounded. Collaborate with design to create AI-native UX patterns with appropriate confidence indicators, exception queues, override controls, and audit trails.
- Work closely with sales and marketing to position AI capabilities competitively, enable the field, and support enterprise deals involving AI use cases.
- Navigate the regulatory environment (SEC, FINRA, ERISA, state regulators) to ensure AI features are designed with compliance, auditability, and human oversight baked in.
- Evaluate AI/LLM vendors, APIs, and infrastructure partners with an eye toward data residency, governance, and contractual risk. Stay current on AI regulatory developments affecting financial services.
Requirements
- 5+ years of product management experience, with at least 2 years directly shipping AI/ML-powered products in a B2B enterprise SaaS environment.
- Working knowledge of LLMs, RAG architectures, agentic workflows, and prompt engineering — you don't need to write code, but you need to speak the language fluently with engineers.
- Strong discovery and research instincts — comfortable running user interviews, shadowing operational workflows, and synthesizing insights into crisp product strategy.
- Demonstrated track record of AI features that users actually adopted — you have before-and-after impact stories to tell. Comfortable operating in a fast-moving, resource-focused environment at ~125 people.
- Excellent written and verbal communication; able to produce clear PRDs, executive briefs, and business cases, and present confidently to C-suite stakeholders.
- Preferred: Experience with compliance, supervision, or RegTech products; financial services, fintech, or wealth management; multi-agent AI systems; data pipelines, vector databases, or document intelligence platforms; or enterprise AI sales cycles including security reviews and vendor risk assessments.
Benefits
- Equity Units
- Healthcare Insurance
- 5% 401K match
- Unlimited PTO
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI product managementAI/ML-powered productsLLMsRAG architecturesprompt engineeringdata pipelinesvector databasesdocument intelligencesuccess metricshuman-in-the-loop workflows
Soft Skills
discovery instinctsresearch instinctscommunicationuser interviewssynthesizing insightsproduct strategypresentation skillscollaborationproblem-solvingadaptability