Solutions Architect

Customer Success Engineer

We are looking for a Customer Success Engineer to own the design, delivery, and evolution of Clarasight's most 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 Clarasight's product roadmap.

Key Responsibilities

• 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.

You'll Be a Great Fit If You…

• 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.

Nice to Haves

• 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.

Diverse Perspectives

We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team.