About The Role

ABOUT THE ROLE

This Senior Agent Product Manager role sits at the intersection of enterprise customer success, technical delivery, and AI product strategy within a fast-growing fintech automation company. You'll be the primary owner of complex end-to-end implementations, embedding an AI agent platform directly into enterprise customers' operations. The work is high-impact: directly shaping how financial institutions automate and scale their customer operations through cutting-edge AI.

WHAT YOU'LL DO

Scope and lead end-to-end implementation projects that deeply integrate the AI platform into customer environments and drive measurable outcomes.
Conduct deep-dive discovery with enterprise customers to define objectives, requirements, and operational context for successful deployments.
Guide customers in tailoring and optimising AI agent capabilities to solve unique operational challenges and maximise resolution rates.
Analyse performance data proactively to track AI effectiveness, drive continuous improvement, and demonstrate customer value.
Serve as the primary technical interface during pre-sales cycles, including running proof-of-concepts and managing technical due diligence.
Collaborate closely with AI, Engineering, and Sales teams, acting as the voice of the customer to shape the product roadmap.
Build scalable onboarding and implementation processes that set customers up for long-term success.
Manage project risks and governance around AI deployments, ensuring compliance with security and responsible AI standards.

WHAT WE'RE LOOKING FOR

5+ years in forward-deployed, customer-facing technical roles delivering enterprise software or AI platform implementations.
Hands-on experience with APIs, system integrations, and technical solution design in enterprise environments.
Track record of owning and delivering complex, multi-stakeholder technical projects end-to-end — from scoping through go-live.
Experience gathering complex business and technical requirements from enterprise customers through structured discovery.
Comfort using analytical tools, SQL, or data warehouses (e.g. BigQuery) to surface insights and guide decisions.
Experience supporting pre-sales cycles, including designing and running POCs.
Familiarity managing compliance, security, or risk governance requirements in regulated or enterprise technology deployments.
Background in financial services, banking, or fintech is a strong plus.
Experience with AI/ML product management, agent-based automation, or intelligent workflow design is advantageous.
Entrepreneurial mindset — comfortable creating structure in ambiguity and finding pragmatic, creative solutions.