Clarasight is building the leading AI-powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4 trillion in combined market value, rely on our software to cut costs, reduce risk, protect revenue, and manage emissions in line with real business objectives.

About You

We're looking for a Forward Deployed Engineer who thrives at the intersection of deep technical craft and high-stakes customer engagement. This isn't a solutions engineering role where you demo software and hand off tickets. You'll be embedded in complex enterprise environments, building real things during live sales cycles and turning what you learn into durable product capabilities.

You'll sit within Engineering but spend most of your time in pre-sales and strategic customer engagements, working closely with Sales and Customer Success.

This is a build-and-own role. You will:

• Lead technical discovery with prospects and customers

• Architect and prototype integrations and AI workflows during live sales cycles

• Reconcile messy, low-quality enterprise datasets

• Contribute directly to Clarasight’s full stack production codebase

• Turn customer-specific solutions into scalable product capabilities

What You’ll Drive

• Customer Engineering owns the technical relationship from first discovery call through contract close. Collaborate with the data science team to translate ambiguous, high-pressure business problems into working prototypes and clear technical narratives that build trust and accelerate deals.

• Data & Systems Design and build pipelines across fragmented travel, financial, and expense systems. Get hands-on with messy, low-quality enterprise data: reconciling, validating, and shaping it into something reliable. Build frameworks that last, not workarounds that don't.

• AI Application Apply AI where it genuinely creates advantage: enrichment, anomaly detection, forecasting, automation. Have strong opinions about where it helps and where it's noise. Turn experiments into repeatable, scalable workflows.

• Productization Feed structured learnings directly into Product. The best customer-specific solutions you build shouldn't stay custom. Your job is to make them part of the platform.

Who You Are

• You have 5–8+ years in software engineering, data engineering, or technical consulting, with a track record of delivering in ambiguous, high-ownership environments.

• You contribute to production codebases without hesitation, and you've spent meaningful time wrangling messy enterprise data. You communicate clearly across audiences, move fast, and don't need your name on things - you need them to work.

• Experience with fintech or enterprise financial systems is a plus. Demonstrated outcomes applying AI/ML to real operational data is a strong signal.

We Offer

• Generous equity in an early-stage company with serious commercial traction

• Full medical, dental, and vision coverage

• $500 annual sustainability benefit

• Direct exposure to a seasoned leadership team

• A role that grows in scope, responsibility, and compensation as we do

Diverse Perspectives

Innovation comes from teams where different experiences, backgrounds, and ways of thinking collide. We actively seek people who bring something to the table that we don't already have. Come prepared to tell us what that is.