Clarasight Series A

Forward Deployed Engineer

New York, NY On-site Mid (3-5 yrs) Added Jun 18

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.

Industry

AI / Enterprise Travel & Expense

Top skills for this role

  • Enterprise data wrangling and integration across messy financial datasets
  • 2. AI workflow prototyping during live enterprise sales cycles
  • 3. Full-stack production engineering with startup ownership mindset

Languages

Not specified

Frameworks & tools

Enterprise financial data systemsREST APIsETL/data pipelines

AI / ML skills

AI workflow design and prototyping during live enterprise sales cyclesenterprise data integration

Customer skills

Technical discovery with prospects/customers; clear communication across technical and non-technical audiences; prior FDE/solutions/founding-engineer experience preferred

Domain knowledge

Enterprise T&E (travel & expense); fintech; enterprise financial systems

Travel: Not specified
Equity: Not listed

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