Principal Product Manager – AI

Overview

As a Principal Product Manager, you shape AI-driven value across multiple product areas within Spendesk’s AI & Data Products squad. You’ll translate customer problems, business priorities, and technical realities into durable AI strategy, framing bets that unlock adoption and measurable outcomes. You’ll own outcomes end-to-end and connect cross-functional teams to align ownership, decision rights, and dependencies. This role offers the opportunity to influence a growing portfolio of AI features and agents at scale, with autonomy and a focus on impact.

Pay / Benefits

• Flexible on-site and remote policy
• Lunch 60% funded by Spendesk (Swile Card)
• Alan Premium health insurance
• Gymlib access
• Moka.care for wellbeing
• Latest Apple equipment

Responsibilities

• Define durable AI product direction across several product areas, linking customer problems, company priorities, technical reality, and commercial opportunity
• Identify consequential problems spanning multiple squads and convert them into focused, evidence-backed bets
• Qualify where AI genuinely adds value (speed, reliability, new intelligence) and justify AI vs deterministic automation
• Make trade-offs across value, adoption, quality, risk, data readiness, capacity, and opportunity cost
• Own outcomes end-to-end: baselines, targets, guardrails, launch, adoption, and post-release learning
• Bring coherence to a portfolio of agents, AI features, and the shared data foundations
• Partner with Engineering, Design, Data, Security, Finance, and GTM teams to clarify ownership, decision rights, and dependencies
• Multiply other PMs and squads through thought partnership, reusable principles, and clear narratives to reduce AI squad dependency

Key requirements

• Extensive product management experience with complex products, platforms, or cross-functional systems, ideally in B2B SaaS or fintech
• Track record of shaping strategy beyond a single squad and delivering sustained customer and business outcomes
• Experience with AI, ML, automation, or data products; understanding model capabilities, limits, evaluation, data dependencies, and operational risk
• Strong judgement in ambiguity and ability to separate important problems from distractions
• Ability to structure complex systems, workflows, and stakeholder landscapes and make key trade-offs simple
• Excellent communication and storytelling to align senior leaders and translate strategy into action
• Proven influence without authority and habit of improving the judgement of others
• Strong ownership of quality, trust, security, and the consequences of product decisions
• Entrepreneurial mindset and readiness to contribute as we are in early chapters

• Strong communication and storytelling
• Influence without authority
• Ownership and accountability
• Comfort navigating ambiguity
• AI/ML, automation, and data products
• Understanding of model capabilities, evaluation, data dependencies, and operational risk

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