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Posted 1w ago

AI Product Manager

@ Figured
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Auckland, New Zealand, New Zealand
HybridFull Time
Responsibilities:Own discovery, Ship production, Collaborate teams
Requirements Summary:5+ years in product management; 1+ year shipping LLM-powered products; hands-on AI craft; customer-centric; strategic thinking; domain interest in fintech, SaaS, or agriculture.
Technical Tools Mentioned:LLM tooling, prompt engineering, observability, retrieval, model selection, agent orchestration
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Job Description
About Figured

Figured is at a pivotal moment. We are transitioning from a traditional SaaS platform to an AI-enabled product that fundamentally reshapes how farmers and agri-advisors make financial decisions. We’re a fast-growing, globally-minded team that values innovation, empathy for our customers, and a scrappy “get sh*t done” attitude.

What’s in it for you

  • Pioneer the Future: Lead our transition into AI, moving beyond "feature logic" to build products that feel magical but remain deeply reliable.

  • Impact: Your work directly helps the agricultural sector become more sustainable and profitable.

  • Flexibility: We prioritise your impact over where and how you work. Experience our hybrid work environment, where you can enjoy the comfort of your home and the energy and buzz of our amazing Auckland city office.

  • Health: Benefit from extra leave with 25 days off per year and subsidised health insurance (Wellbeing Two) with Southern Cross.

  • Fun: Indulge in Tim Tams, enjoy fresh fruit, ice cream, and Friday Kai. Our social club offers a variety of rituals that bring us together.

The Role

You'll own LLM-powered products inside Figured's platform — agents that do the analytical heavy lifting so advisors and farmers can make financial decisions faster, with the advisor in the loop. You'll work end-to-end: shaping the problem, defining what "good enough" looks like for a non-deterministic output, shipping it, and keeping it reliable once it's live.

Key responsibilities:

  • Customer Discovery: Identify high-value financial problems where LLM-powered agents meaningfully improve outcomes for farmers and advisors vs traditional solutions.

  • Ship to Production: Own discovery, definition, and rollout. Define accuracy bars, confidence thresholds, and acceptable failure modes before build, not at launch.

  • Trust & Transparency: Design for reviewable drafts, visible assumptions, editable outputs, and graceful failure. Trust is the product.

  • Quality & Evaluation: Own the evals for your products, prompt engineering, observability, and feedback loops that produce instrumented signal rather than anecdotes.

  • Technical Partnership: Collaborate daily with data scientists, ML engineers, and software engineers on prompt design, retrieval, model selection, and agent orchestration.Experience

We are looking for:

  • Product Expertise: 5+ years in Product Management, with at least 1 year shipping LLM-powered products at meaningful scale. Products where users depend on probabilistic outputs to make decisions, not prototypes or chatbots bolted onto a SaaS.

  • Hands-on AI Craft: Fluent with modern LLM and agent tooling - prompting, retrieval, evals, observability, tool use. You've debugged a misbehaving agent in production.

  • Customer-Centric: Deep empathy for end-user problems; ability to translate messy customer needs into product requirements

  • Strategic Thinking: Balance long-term vision with pragmatic decisions about building & releasing value to customers.

  • Domain Interest: Experience in Fintech, SaaS, or Agriculture is a significant advantage.