Product Manager
Role Overview
The Product Manager connects customers, the advisory team, and engineering to turn customer needs into shipped products and solutions.
The role spans internal products and customer engagements and may include acting as Product Owner for customers without one.
The position emphasizes outcome ownership, technical collaboration, rapid prototyping, and practical use of AI tools.
Key Skills for This Role
Full Job Posting
About the role
The Product Manager connects customers, the advisory team, and engineering to turn customer needs into shipped products and solutions.
The role spans internal products and customer engagements and may include acting as Product Owner for customers without one.
The position emphasizes outcome ownership, technical collaboration, rapid prototyping, and practical use of AI tools.
Key responsibilities
- Bridge customers, the advisory team, and engineers so customer needs are translated accurately into delivery.
- Define and prioritize roadmaps for internal products and customer engagements, balancing strategic bets with near-term commitments.
- Act as proxy Product Owner for customers, managing backlogs, priorities, and day-to-day product decisions.
- Turn business and technical requirements into epics, user stories, and acceptance criteria.
- Mock up flows and screens in Figma and build proof-of-concepts and clickable prototypes.
- Partner with engineering to ship features end-to-end, unblock delivery, and make trade-off decisions.
- Join customer discussions to identify gaps, validate solutions, and understand actual needs.
- Use AI tools for research synthesis, specification writing, prototyping, and data analysis, applying human judgment where needed.
- Feed customer and advisory insight into engineering priorities and internal product development.
Core expertise
- At least 5 years of product management experience; enterprise B2B software or client-facing technical delivery is preferred.
- Able to perform Product Owner work, including backlog grooming, acceptance criteria, and product decisions for customer engagements.
- Hands-on experience with Figma or a similar tool and ability to create clickable mockups or working proof-of-concepts.
- Technical fluency with architecture diagrams, APIs, and integrations; production coding is not required.
- Able to use data and experimentation to prioritize, validate hypotheses, and measure impact.
- Daily use of AI tools to improve work and delivery.
Stakeholder and delivery skills
- Able to communicate with engineers and customer executives and build trust across technical, advisory, and customer stakeholders.
- Shows autonomy, ownership, initiative, and a bias to action.
- Comfortable switching between internal product work and customer engagements.
Nice-to-haves
- Experience in AI/ML products, mobile, SaaS, web applications, distributed systems, or other relevant specialist domains.
- Technical client delivery experience such as forward deployment, solutions engineering, consulting, or technical pre-sales.
- Product Owner certification such as CSPO, or hands-on Scrum/Agile ceremony experience.
- Financial services, payments, or FinTech background and understanding of sector security and regulatory demands.
- Experience with AI coding tools such as Claude for building functional proof-of-concepts or specifications.
Year-one success indicators
In the first 90 days, understand customers, the advisory workflow, and engineering processes, and make a roadmap decision grounded in customer insight.
By 6 months, become a trusted partner to customers, advisory, and engineering, with a roadmap respected by all three.
By 1 year, drive measurable customer outcomes and establish a repeatable AI-accelerated way of working.
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