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Payhawk is an AI-powered spend management platform serving finance teams across 32+ countries. The platform unifies corporate cards, expense management, procurement, and accounts payable, with AI as core infrastructure rather than a bolted-on feature. The company has achieved unicorn status as Bulgaria's first and continues to scale rapidly.
In this role, you will own a portion of Payhawk's AI Office of the CFO—the agents and playbooks that automate real finance work for customers within Payhawk, Slack, Claude, and other AI models.
Key Responsibilities:
- Define and develop the product roadmap and strategy for your area in close collaboration with engineering and product design peers
- Manage the work of engineering and product design teams to deliver on roadmap commitments
- Help your team build and ship AI features effectively, understanding technical and design trade-offs (e.g., when agents should act autonomously versus escalate to humans), removing roadblocks, and validating problems and solutions before investment
- Create and refine KPIs to measure impact and track progress, including how reliably agents complete tasks within customer policies
- Drive projects with external vendors, including AI model providers and platforms your agents integrate with, keeping them on schedule
- Build deep understanding of customer needs and behavior, competitive landscape, and regulatory constraints—particularly how permissions, auditability, and data security shape AI in finance
You will work in a high-performance team culture that values direct feedback, real ownership, and outcome-driven execution. The company emphasizes honest opinions and entrepreneurial mindset.
Requirements:
- Background in product management, engineering, or project management
- Experience managing the roadmap of engineering teams
- Track record of building and launching your own product (including failed attempts)
- Fluency with data; ability to analyze patterns, trends, and build hypotheses
- Hands-on experience using AI tools and understanding of what AI agents can and cannot do reliably
- Entrepreneurial mindset with hands-on approach to owning problems and driving results
- Genuine care for users' needs and problems
- Strong collaboration skills with designers, engineers, marketing, and other stakeholders
- Strong organizational ability; can distinguish signal from noise in busy environments
- Comfort making difficult trade-off decisions and saying no
- Fluency in English
