AI Product Manager

AI Product Manager

About the Opportunity

Harnham is partnering with an established alternative finance company that provides working capital to small and medium sized businesses. A combination of technology, industry expertise, and a customer focused operating model has supported continued growth across the organization.

Production grade AI agents are already live within credit and underwriting workflows, backed by years of proprietary credit data and deep risk expertise. Expansion into Sales, Customer Lifecycle, Finance, and Capital Markets will create new opportunities to redesign essential business processes using AI.

The Opportunity

Two AI Product Managers will join the organization’s growing AI program, with each individual embedded within a dedicated product pod and aligned to one business area.

Working alongside a data scientist, functional experts, and specialist engineering partners, the AI Product Manager will own the transformation of a business process from initial discovery through design, development, quality control, launch, and adoption.

Success requires a hands on product manager who can structure an undefined problem, challenge existing processes, and translate business knowledge into a clear specification that an engineering partner can build from.

Responsibilities

Discovery and Process Intelligence

• Lead structured discovery sessions with subject matter experts to document each step, decision point, pain point, exception, volume, and cycle time within an existing process.

• Establish current state performance measures, including cycle times, error rates, manual touchpoints, and the operational cost of failure.

• Identify undocumented edge cases and informal workarounds that may affect the design or performance of an AI solution.

• Challenge assumptions throughout discovery and evaluate how the process could be redesigned using AI.

AI Solution Design

• Translate discovery findings into a detailed AI transformation brief that reimagines the process from the ground up.

• Define the required AI capability, inputs, outputs, business logic, quality control framework, acceptance criteria, and expected outcomes.

• Produce clear recommendations that address the current state, proposed solution, execution approach, and potential business impact.

• Evaluate specialist engineering partners based on their technical capabilities and alignment with the proposed solution.

Engineering Partner Management

• Manage the daily relationship with external engineering partners throughout the development process.

• Coordinate build reviews, monitor progress against the agreed specification, and maintain alignment with delivery timelines.

• Review partner deliverables against the design brief and identify material gaps before they result in additional development work.

• Facilitate communication between engineering partners, data science, quality control, and functional stakeholders.

Quality Control and Evaluation

• Design the quality control framework before development begins, including human review processes, deterministic checks, and evaluation criteria.

• Partner with data science to establish evaluation rubrics, golden datasets, accuracy thresholds, and production readiness standards.

• Ensure initial AI outputs complete the required quality review before being introduced to end users.

Launch and Adoption

• Coordinate a structured shadow run that compares AI output with the existing process before full implementation.

• Partner with functional leaders to develop an adoption plan and build trust with the individuals using the product.

• Measure performance following implementation against the original baseline and identify opportunities for continued refinement.

Qualifications

Required Qualifications

• Three to five years of experience in product management, product analysis, or a closely related role.

• Direct experience with AI enabled products or business process transformation using AI.

• Demonstrated experience leading discovery with subject matter experts and translating findings into clear product requirements.

• Experience authoring design briefs, specifications, process maps, or requirements documents used by engineering teams.

• Proven ability to structure ambiguous problems, operate independently, and own a phase of work through completion.

• Working knowledge of large language models and AI agents, with the ability to evaluate whether a proposed solution aligns with the intended design.

• Strong communication and stakeholder management skills across business, data science, and engineering teams.

• Bachelor’s degree in Business, Computer Science, Engineering, Economics, or a related field.

Preferred Qualifications

• Product experience within fintech, payments, lending, or another fast moving technology environment.

• Experience supporting an AI product, feature, or redesigned process from discovery through production.

• Familiarity with AI evaluation methods, quality control frameworks, golden datasets, or production readiness standards.

• Experience managing external engineering vendors or technology partners.

• Master’s degree in a relevant field.

Why Join

Production AI is already operating within the business, providing an opportunity to work beyond the experimentation stage and deliver measurable transformation within a regulated, revenue generating environment.

Meaningful ownership across discovery, design, development, and adoption will allow each Product Manager to build deep AI product expertise while working closely with experienced leadership, data science, and functional teams.

Compensation & Benefits

The anticipated base salary is up to $220,000, based on experience and qualifications. Additional cash compensation may be available, and relocation assistance may be considered for qualified candidates.

Additional Information

The position is based in the San Francisco Bay Area and follows a hybrid working model requiring two to three days onsite each week. Remote work will remain available on an interim basis while the permanent shared workspace is finalized.