Wisdom Logo

Wisdom

Principal Product Manager (AI)

Reposted One Month Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Principal Product Manager will drive AI product strategy, translating industry knowledge into structured workflows, focusing on AI agent integration and autonomy models.
The summary above was generated by AI

About Wisdom

Wisdom blends industry expertise with advanced technology to make dental practices work better for everyone involved. We believe dentistry is about people, and we exist to make the future of dentistry stronger and more sustainable for dentists, their teams, and the patients they serve. We match administrative teams with expert billers and custom-built technology to take on the heavy lifting of dental billing while maximizing dentists’ time in-office, and their bottom line.

Coming from a fresh $21M Series A round of funding we are looking for exceptional candidates to help us build a category-defining company. Wisdom has employees across the US.

The Role: Principal Product Manager (AI)

Dental insurance billing is one of the largest manual workflows in US healthcare. Claims aging, appeals, posting, follow-ups makes for work that today eats entire FTE teams at every dental practice. The expertise that makes it run lives in the heads of veteran dental billers. We're building AI agents that work alongside them and support them through these workflows.

We're hiring a Principal PM to own a major surface of this. Small pods, all builders, reporting to the Head of Product. You'll help shape Wisdom's product strategy for the next 1-3 years.

What You'll Do

  • Own strategy and roadmap for an AI-first product. Balance short-term wins (human-assisted tools) with long-term bets (autonomous AI agents).

  • Shadow revenue specialists, billers, and dental office managers to understand workflows end-to-end. Translate tribal knowledge from 10+ year industry veterans into structured product workflows and context for AI.

  • Be on the forefront of AI design patterns. Help us build new agentic workflows, human-in-the-loop UX patterns, AI-to-human escalation paths, and audit trails.

  • Define gradual autonomy models: when should AI act autonomously vs. escalate to humans.

What We're Looking For

  • 8+ years as a Product Manager, with at least 3 years working on AI/ML products.

  • You're already shipping AI products. You've built things with LLMs and agent frameworks, you've felt the pain of eval infra and prompt regressions, and you have strong opinions on the mechanics of how we build.

  • You leverage AI across the entire stack of the job: drafting and pressure-testing strategy, running synthetic user research, building evals before specs, prototyping flows in code, and shipping PRs when it's faster than writing them up. You treat AI like a co-worker you're constantly delegating to and learning from.

  • You've built pure agentic or human-in-the-loop systems before. You can make tradeoffs between "AI decides, AI performs," "AI suggests, human approves," "AI acts, human audits," or even "AI skipped, human only." Bonus if you've done this in healthcare, fintech, or another regulated space where being wrong has massive consequences.

Wisdom is an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.

Similar Jobs

6 Days Ago
Remote or Hybrid
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads complex enterprise voice AI deployments, owning customer outcomes, agent design, evaluation, production launches, and optimization. Partners with engineering teams on conversational quality, real-time streaming, latency, orchestration, and voice pipeline decisions. Transforms customer-specific solutions into repeatable industry assets while shaping the broader product roadmap through hands-on exposure to production voice interactions and customer needs.
Top Skills: Ai AgentsAsrBarge-InCcaasConversational AiEndpointingIvrLlm OrchestrationPrompt EngineeringReal-Time Streaming PipelinesSipTelephonyTtsTurn-TakingVoice Ai
6 Days Ago
Remote or Hybrid
167K-291K Annually
Senior level
167K-291K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads enterprise CRM voice AI deployments through customer pods, owning agent design, build, evaluation, production launch, monitoring, and optimization. Evaluates ASR and TTS models against production workloads, develops experimentation methodologies, guides platform decisions, and identifies repeatable industry-specific capabilities. The role combines technical product management, enterprise customer leadership, conversation design, speech model evaluation, telephony integration, and AI agent development.
Top Skills: Ai AgentsAsrCcaasConversational AiIvrPrompt EngineeringSipSpeech TechnologyTts
10 Days Ago
Remote or Hybrid
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns complex enterprise voice AI customer deployments, leading pod product direction from agent design through production and customer handoff. Drives conversational quality improvements including turn-taking, interruption handling, barge-in, endpointing, latency, and LLM orchestration. Partners with platform teams on real-time voice infrastructure and voice-to-voice models, while productizing customer solutions into repeatable industry assets. Requires deep voice AI expertise, telephony integration experience, enterprise technical deployment experience, and 12+ years in product management.
Top Skills: AsrCcaas PlatformsIvrLlm OrchestrationReal-Time Streaming PipelinesSipTelephony IntegrationTts

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account