Ande Logo

Ande

Product Manager, AI

Posted 3 Days Ago
In-Office
San Francisco, CA, USA
175K-225K Annually
Senior level
In-Office
San Francisco, CA, USA
175K-225K Annually
Senior level
Own the end-to-end customer experience for AI agents, including agent quality, evaluation frameworks, human handoffs, feedback loops, roadmap, and production improvements. Partner closely with engineering and operations to analyze failures, improve agent performance, define automation boundaries, and ship agentic product capabilities quickly.
The summary above was generated by AI

About Ande
We're a Series A startup building an AI-native platform that connects Enterprises and Hospitality across the entire booking experience, backed by top-tier investors including Lightspeed Venture Partners, Redpoint Ventures, Sierra Ventures, and Bain Capital, and led by a serial entrepreneur with offices in NYC and SF. We help companies turn every dinner, event, and offsite into something effortless to plan and a breeze to manage, plugging right into the tools they already use.

About the Role
Corporate teams spend billions every year on business entertainment, dinners, events, client experiences, and almost none of it runs through purpose-built software. At the center of our platform are AI agents that do real work for our customers: agents that carry multi-step, high-stakes workflows through to completion, with real money and real relationships on the line. We're looking for a PM to own these agentic experiences. There's no established playbook for this work; the patterns for running agents in production are being figured out in real time, by a small number of teams, and we're one of the teams doing the inventing. You'll own how our agents behave, how their quality is measured and improved, and how the system earns the trust to take on more. AI isn't a feature we bolted on, it's the foundation of our product and how we run the company: we automate what can be automated so people spend their time on judgment, not busywork. As a PM here, you'll prototype ideas yourself, get answers from data without waiting on anyone, and ship faster than you're probably used to.

What You'll Do

  • Own the end-to-end experience our customers have with our AI agents, from first interaction to completed outcome

  • Own agent quality as a product: evaluation frameworks, review loops, and the metrics that define "good" for a production agent

  • Own the division of labor between agents and people, where automation earns more autonomy, and where human judgment stays in the workflow

  • Own the improvement engine: the feedback loops and mechanisms that make agents measurably better every week, at growing volume

  • Define, prioritize, and execute the roadmap for our agentic product experiences

  • Go deep in the mechanics: prompt and context engineering, evals, failure analysis; you'll read transcripts, find patterns, and turn them into product decisions

  • Partner with engineering to ship improvements fast, and build the tooling that makes quality visible and measurable

  • Work closely with the operations teams whose workflows interlock with the agents; they're part of your product surface

  • Coordinate with PMs across the product group, since the agents touch nearly every part of the customer journey

  • Track the frontier: new patterns, research, and techniques emerge weekly in this space, and part of your job is knowing what's real, what's noise, and what we should try next

What We're Looking For

  • 5+ years of Product Management experience, including hands-on work shipping agentic workflows

  • Fluency in the patterns of production agentic systems, things like escalation and handoff design, guardrails, human-in-the-loop, feedback loops, and eval-driven development, and the judgment to know which pattern fits which problem

  • A habit of staying at the edge: this field reinvents itself every few months, and you're the kind of person who's already tried the new technique before most people have heard of it

  • Systems thinking; you see the agent, the people around it, the feedback loops, and the failure modes as one system, and you design for the whole

  • An empirical mindset; you'd rather read fifty transcripts than debate a hypothesis, and you know quality is measured, not assumed

  • Strong technical fluency, comfortable with prompt and context engineering, and able to work shoulder-to-shoulder with engineers on agent architecture

  • High agency; you spot what matters, take ownership, and run without waiting for permission

Bonus Points

  • You've operated an agentic product in production, with real users and real consequences; you know what breaks at volume that demos never show

  • You've built evaluation systems or quality frameworks for non-deterministic products

  • Experience in marketplaces or products mediating between two parties

  • You write, speak, or build in public about agentic systems, or you're active in the communities where this craft is developing

Why This Role Matters
Own the most visible, customer-facing part of what we do, and problems most PMs won't get to touch for years. Work directly with founders and leadership on strategy and execution. Small team, high ownership: your decisions ship, fast. Help define how agentic products get built, at a company where that's the whole point, early enough that your fingerprints are on everything.

Equal Employment Opportunity
Ande is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. We welcome applications from all qualified candidates and will consider all applicants for employment without regard to any legally protected status

Similar Jobs

2 Days Ago
Remote or Hybrid
183K-250K Annually
Senior level
183K-250K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Own the agentic analytics platform for Capital One Shopping’s AI Enablement team. Partner with engineers to build trusted AI products, govern enterprise data and metrics, define agent boundaries, validate system performance, prioritize stakeholder needs, and improve deployment efficiency. The role requires strong product leadership, data platform expertise, SQL proficiency, familiarity with modern data tools and AI agents, executive communication, and experience operating internal platforms or production deployments.
Top Skills: Ai AgentsAi Evaluation ToolsClaude CodeCodexCursorData CatalogsDatabricksDbtLookerLookmlMetrics LayersModeOntologiesPalantir FoundryPythonRSemantic LayersSnowflakeSQLText-To-Sql
Yesterday
Hybrid
Senior level
Senior level
Financial Services
Leads product strategy and development for agentic AI solutions automating large-scale banking operations. Owns product vision, discovery, roadmap, backlog, requirements, success metrics, and launches. Partners with engineers, researchers, designers, analysts, and business leaders to deliver AI pipelines and orchestrations. Requires strong product leadership, AI and LLM knowledge, technical team leadership, and experience delivering products in complex enterprise environments.
Top Skills: Agentic Ai FrameworksArtificial IntelligenceAutonomous AgentsContext EngineeringFine-TuningLarge Language ModelsModel Context Protocol (Mcp)PromptingRetrieval-Augmented Generation (Rag)
7 Days Ago
Hybrid
201K-250K Annually
Senior level
201K-250K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead AI use-case strategy and the end-to-end pipeline from ideation through production for Global Payment Network. Oversee a centralized knowledge base and context engine spanning code, documentation, policies, and controls. Partner with cross-functional teams to gather requirements, validate content, support agentic development, and improve traceability. Define adoption and ROI metrics, guide pilot-to-production delivery, and create scalable AI enablement playbooks while balancing innovation with governance and compliance.
Top Skills: Ai/MlCloudContext GraphsData And Content PlatformsGenerative AiGoogle DriveKnowledge Management SystemsMainframeSharepointTaxonomies

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account