The Senior/Staff Product Manager will own the strategy for AI agents, focusing on their design, quality, and business impact while ensuring compliance and driving revenue growth.
About Our Client
Our client is reshaping consumer finance by bringing a more humane approach to the industry. Their data-driven products help financial institutions modernize collections, giving borrowers clear, compassionate paths to regain stability and control over their finances. Beyond expanding access to credit, the mission is to restore dignity and give millions of people a real opportunity to achieve financial freedom.
About the Role
Our client is building AI agents that go beyond assistance — they take action. Autonomously. At scale. Across the most pivotal moments in the product experience. This role owns the strategy, quality, and business impact of that system, and shapes how the entire organization builds with AI moving forward.
You will design how AI agents reason, decide, and execute across complex workflows, then build the infrastructure that makes them reliable, measurable, and continuously improving. You'll challenge assumptions about what agents can become, introduce product rigor to a space where speed has been the priority, and establish the bar that other PMs work toward.
Early traction and strong conviction are already in place. What's needed is a staff PM who turns that foundation into a platform — one that broadens what AI agents can own, speeds up how quickly they ship, and meaningfully reshapes unit economics.
Key Responsibilities
AI agent strategy. You own the roadmap — not a feature backlog, but a sequenced, opinionated strategy tied directly to business outcomes. You'll decide what to build in-house, what to buy, and when to switch vendors as the landscape evolves. You'll anticipate product, technical, and regulatory constraints 6–12 months out and design around them before they become blockers. Product, Engineering, Operations, and GTM leadership will rely on you as a thought partner who challenges assumptions and pushes the engagement strategy to be more ambitious through AI agents.
Agent quality and pace of iteration. You'll define what "good" means for AI agents across prompt engineering, conversation design, and real-world performance — and build the evaluation frameworks to measure it. You'll own the full agent UX: conversation flows, authentication, multi-topic handling, all crafted for user trust and measurable conversion outcomes. You'll work with Legal and Compliance to develop patterns that keep things compliant without slowing the team down.
Revenue impact. You'll prioritize the campaigns and workflows that maximize operational efficiency while driving incremental revenue. You'll partner with GTM to expand adoption across segments and convert agent performance into top-line growth.
How the company builds with AI — beyond this role. You'll create the playbooks, evaluation frameworks, prompt engineering standards, and vendor assessment criteria that let other PMs ship AI features without you in the room. You'll build AI fluency across Operations, GTM, Legal, and leadership so the organization makes sharper decisions about where AI fits.
Requirements
⦁ 8+ years of product management experience, including work on AI/LLM-powered products (e.g., conversational AI, agents)
⦁ Hands-on experience with prompt engineering, LLM evaluation frameworks, or conversation design
⦁ Experience working with system architecture and API design
⦁ A track record of building and launching new products or features
Bonus Skills
⦁ Experience building conversational AI at scale within a high-growth company
⦁ Familiarity with AI agent platforms and their trade-offs
⦁ Experience coaching other PMs on AI best practices
⦁ A history of strategic build-vs-buy decisions for AI infrastructure
⦁ Experience shipping in ambiguous, rapidly evolving technical domains
Logistics
Location: New York City office
Compensation: $185K – $244K + Equity
Employment Type: Full time
Other: Open to relocation for strong non-NYC candidates (relocation expected within 60 days); visa transfers considered by default (new visa sponsorships handled case-by-case)
Interview Process
1. Recruiter Screen
2. Hiring Manager Screen
3. Case Study / Panel
4. Onsite Interviews
5. Culture / CEO Interview
6. Offer
CompensationThe base pay range for this role is $185,000 – $244,000 per year.
Similar Jobs
Cloud • Information Technology • Machine Learning
Lead technical programs delivering GPU and CPU compute fleets from infrastructure handover through provisioning, validation, operational acceptance, and steady-state operations. Translate customer and business requirements into delivery plans, manage dependencies and blockers, assess capacity gaps, drive prioritization, establish readiness criteria, and coordinate cross-functional engineering and operations teams. Define delivery metrics, improve forecasting, and identify tooling, automation, and process improvements to increase provisioning throughput and operational readiness.
Top Skills:
Computer NetworkingCpuData Center InfrastructureGpuHardware/Software IntegrationInfrastructure AutomationServer ProvisioningSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and deploy production-grade AI agents, assistants, models, and reusable skills. Develop secure agentic workflows with guardrails, isolation, and controls; integrate frameworks, tools, APIs, cloud services, and models; establish rigorous evaluation metrics for quality, safety, and reliability; rapidly prototype solutions and partner with engineering to harden them for production. Document solutions and contribute to AI Center of Excellence consulting and best practices.
Top Skills:
AWSAzureClaude SdkDockerGCPGoogle Ai SdkKubernetesOpenai SdkPythonSkill.Md
Artificial Intelligence • Information Technology • Software
Coordinate recruiting operations across interview scheduling, ATS management, agency tracking, job postings, candidate communications, recruiting files, reports, events, and travel logistics. Maintain accurate Ashby data and recruiting documentation while supporting recruiters and hiring managers. The role also contributes to sourcing, candidate outreach, job description updates, and broader recruiting process improvements in an early-stage startup.
Top Skills:
AshbyGoogle DriveGoogle WorkspaceLinkedIn
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
