Product Manager, AI

Ande•New York, NY

18h•$175,000 - $225,000

About The Position

Ande is seeking a Product Manager to own the customer-facing experiences of its AI agents, which carry out multi-step business entertainment workflows involving real spending and customer relationships. The role focuses on how agents behave, how their quality is evaluated and improved, and how they earn greater autonomy while retaining appropriate human judgment. The Product Manager will shape production agentic product practices in a fast-evolving field and contribute to a company where AI is foundational to both the product and operations. The role owns the end-to-end agent experience, agent quality and measurement, the division of work between agents and people, and the feedback mechanisms that improve performance as volume grows. The Product Manager will define and execute the roadmap, investigate agent transcripts and failures, partner with engineering on product improvements and quality tooling, work closely with operations teams, coordinate with other product managers, and assess emerging research and techniques. The role offers high ownership, fast execution, and direct work with company founders and leadership.

Requirements

At least 5 years of Product Management experience, including hands-on experience shipping agentic workflows.
Fluency in production agentic system patterns, including escalation and handoff design, guardrails, human-in-the-loop workflows, feedback loops, and eval-driven development.
Ability to judge which agentic system patterns fit different problems.
Systems-thinking ability to consider agents, people, feedback loops, and failure modes as an integrated system.
An empirical mindset, including willingness to review transcripts and measure quality rather than assume it.
Strong technical fluency, comfort with prompt and context engineering, and ability to work closely with engineers on agent architecture.
High agency, ownership, and ability to act without waiting for permission.
Habit of staying current with rapidly evolving agentic techniques.

Nice To Haves

Experience operating an agentic product in production with real users and real consequences.
Experience building evaluation systems or quality frameworks for non-deterministic products.
Experience in marketplaces or products that mediate between two parties.
Writing, speaking, or building publicly about agentic systems, or active participation in communities developing the craft.

Responsibilities

Own the end-to-end customer experience with AI agents, from first interaction through completed outcome.
Own agent quality as a product, including evaluation frameworks, review loops, and production quality metrics.
Define how work is divided between agents and people, when agents gain autonomy, and where human judgment remains in the workflow.
Build feedback loops and mechanisms that make agents measurably better as usage grows.
Define, prioritize, and execute the roadmap for agentic product experiences.
Work with prompt and context engineering, evaluations, and failure analysis; review transcripts, identify patterns, and translate findings into product decisions.
Partner with engineering to ship improvements quickly and build tools that make quality visible and measurable.
Work closely with operations teams whose workflows interlock with the agents.
Coordinate with product managers across the product group because agents touch many parts of the customer journey.
Track new patterns, research, and techniques in agentic systems and assess what to pursue.