Job Description

• We are looking for a Customer Success Engineer to own the design, delivery, and evolution of complex and high-impact customer solutions.
• You will work hands-on with enterprise clients to translate ambiguous travel challenges into concrete, AI-enabled solutions that deliver measurable results.
• You will operate at the boundary between customers, product, and data — rapidly prototyping solutions with clients, shaping scalable delivery patterns, and feeding real-world learnings directly into the client's product roadmap.

• Lead complex enterprise engagements from discovery through measurable value realization.
• Translate ambiguous customer problems into clear solution architectures, implementation plans, and success metrics.
• Act as a trusted advisor to leaders across travel, procurement, finance, IT, and sustainability.
• Rapidly prototype and iterate on solutions directly with customers to prove value early.
• Serve as a critical field-to-product feedback loop, shaping roadmap priorities and reusable capabilities.
• Partner closely with Sales, Product, Data, and Customer Success to drive retention, expansion, and long-term impact.
• Work hands-on with customer data, models, configurations, and analytics workflows to build proof-of-value implementations, dashboards, and planning models.
• Experiment with AI (LLMs, agents, workflow automation) to accelerate solution delivery and design AI-augmented planning and decision-support systems.
• Build custom integrations and workflows that don't yet exist in the product, balancing speed and rigor as requirements, data, and tools evolve.

• Have 5–8 years in solution architecture, implementation consulting, or enterprise systems design, with a strong track record across solution consulting, forward-deployed engineering, or professional services in enterprise data / SaaS.
• Are comfortable operating as a forward deployed problem solver, not just an advisor.
• Are technically fluent and data-oriented: you understand data models, metrics, transformations, and system workflows.
• Can query large datasets using SQL or other tools and languages.
• Can read, shape, and influence technical implementations even if you are not a full-time engineer, and can drive hands-on configurations and light development work.
• Are an exceptional communicator with the ability to translate complex technical and analytical concepts into clear executive narratives.
• Are energized by early-stage environments where ownership, judgment, and speed matter.

• AI-fluent and experimental by nature — eager to test tools, refine workflows, and push automation forward.
• Experience working alongside AI systems and applying human judgment to automated outputs.Prior exposure to corporate travel, procurement, or sustainability domains.
• Experience building custom integrations or internal tooling in a forward-deployed or professional services capacity.