Forward Deployed Engineer

About the role

ABOUT US

Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.

ABOUT YOU

- You thrive 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 want to be embedded in complex enterprise environments, building real things during live sales cycles and turning what you learn into durable product capabilities.

- 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.

- You have strong opinions about where AI genuinely creates advantage and where it's noise, and you're energized by turning customer-specific solutions into scalable product.

ABOUT THE ROLE

- We are seeking a Forward Deployed Engineer to sit within Engineering but spend most of their 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, and contribute directly to Clarasight's full-stack production codebase.

- Your job is to turn customer-specific solutions into scalable product capabilities — the best things you build shouldn't stay custom.

KEY RESPONSIBILITIES

Customer Engineering

- Own 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.

- Lead technical discovery with prospects and customers.

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.

- Turn the best customer-specific solutions into part of the platform.