Product Manager, Agentic Finance

Accountabilities

• • Own agent product strategy and roadmap: Define the vision, priorities, and roadmap for expanding agent capabilities while aligning product development with customer needs and business objectives.
  • Build and evolve AI capabilities: Ship new agent functionality and continuously improve existing experiences as underlying models and technologies advance.
  • Own agent quality infrastructure: Develop and manage the agent harness or comparable evaluation framework used to measure, monitor, and improve response quality.
  • Set and maintain quality standards: Establish high standards for accuracy, reliability, safety, compliance, and customer trust across every agent interaction.
  • Translate complex constraints into product decisions: Balance customer expectations, model capabilities, regulatory requirements, and platform limitations when defining product solutions.
  • Lead cross-functional execution: Coordinate closely with Engineering, Design, Research, Data Science, Legal, Compliance, and Support to bring agent experiences from concept to production.
  • Use data to prioritize: Analyze customer, product, and quality signals to identify opportunities, assess performance, and determine roadmap priorities.
  • Stay hands-on: Move fluidly between strategic planning, agent evaluation, data analysis, problem-solving, and day-to-day product execution.
  • Drive continuous improvement: Identify weaknesses in existing agent experiences and turn them into actionable product, tooling, or process improvements.

  Requirements

  • Product management experience: 3–7 years of product management experience, including direct ownership of an AI- or LLM-powered product rather than general exposure to AI.
  • Agent evaluation expertise: Experience building or operating an agent harness, evaluation framework, or comparable system for measuring and improving AI product quality.
  • Hands-on AI fluency: Regularly use LLM-based tools in your professional and personal workflows and understand how to work effectively with evolving AI capabilities.
  • Technical and analytical skills: Proficiency in SQL and a demonstrated ability to independently retrieve, analyze, and interpret product data.
  • End-to-end ownership: Comfortable moving between product strategy, detailed agent work, experimentation, and shipping production capabilities.
  • Trust and compliance mindset: Strong appreciation for accuracy, safety, customer trust, and regulatory compliance when building products involving financial services and real-money transactions.
  • Cross-functional leadership: Able to collaborate effectively with technical, design, research, data, legal, compliance, and customer-facing teams.
  • Execution orientation: Thrive in a fast-moving, high-velocity environment where priorities evolve and individuals are expected to take initiative.
  • Builder mentality: Highly proactive, driven, low-ego, and comfortable taking ownership from problem definition through execution and iteration.

  Benefits

  • Competitive compensation: $160,000–$180,000 base salary, plus stock options.
  • Health coverage: Health benefits available from Day 1.
  • Retirement benefits: 401(k) plan with company match.
  • Remote work: US-based remote-friendly work environment.
  • Flexible time off: Flexible time off (FTO) to support sustainable performance and personal needs.
  • Career growth: Opportunities to develop professionally within a high-growth environment.
  • Mission-driven culture: Work on financial technology designed to have meaningful real-world impact.
  • Inclusive environment: A collaborative workplace that values diverse perspectives, experiences, and backgrounds.