Senior Product Manager

Einride

What you ll do:

• Own Saga s platform interface roadmap: Define how Saga exposes its capabilities beyond the portal setting the product direction for API, CLI, MCP, and LLM-native interfaces. Ensure these are designed for discoverability, reliability, and developer experience.
• Treat agents as a first-class persona: As AI agents become active users of Saga querying data, triggering actions, and orchestrating across freight operations define what it means for Saga to be agent-ready (semantic interfaces, action boundaries, trust and access models, and how Saga presents itself to LLM-based systems).
• Drive integrations strategy and partner interface design: work directly with architecture to define how Saga integrates with third-party systems and partners, including Transport Management Systems (TMS), Fleet Management Systems, ERPs, and AI orchestration tools defining integration patterns, API governance, and the partner developer experience.
• Collaborate closely with engineering on platform architecture: work alongside senior engineering, data and architecture team members to make informed tradeoffs between flexibility, security, and maintainability in order to translate platform strategy into actionable technical direction.
• Lead the product direction on Saga s access control and data segmentation model, including multi-tenant data isolation and resource visibility, and defining the distinction between functional access and data visibility.
• Accelerate AI adoption: Act as a key resource on AI in the product development lifecycle, identifying where AI can accelerate discovery, design, prototyping, and delivery, and helping other PMs build these practices into their day-to-day work.

What we re looking for:

• Significant experience as a senior product manager, with ownership of platform, developer-facing, API, or integration products. You have built or managed product surfaces that other products or systems build on top of, and you care about things like versioning, documentation, interface contracts, and what makes third-party integrations scalable.
• Familiarity with the emerging AI agent ecosystem: you understand concepts like MCP, LLM tool-calling, and agent-based architectures, and you are excited about what it means for an electric and autonomous freight platform to be natively accessible to AI agents.
• Strong technical literacy: able to engage deeply with engineering teams on architecture decisions, interface contracts, access control models, and extensibility tradeoffs without needing to write the code yourself.
• A proven track record of influencing product strategy across a broader team; you have been a centre of expertise and a multiplier for others, not just an individual contributor. The products you manage have delivered tangible and demonstrable business results.
• Exceptional communication skills: able to translate between deep technical concepts and strategic product direction for both engineering and executive audiences.
• Analytical mindset with a data-driven approach to decision making. Experience applying AI tools in product workflows, or a strong interest in building these practices, is highly valued.
• Passionate about the intersection of freight, infrastructure, and AI you are energised by a future where AI agents actively participate in moving goods around the planet.