Clarasight

Forward Deployed Engineer

Full-time · New York City (Remote)
✓ Verified live on the employer's own system · added 107 days ago
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Mid-level · 5+ yrs exp

Requirements

Experience: 5+ years

Skills & tools

SalesCustomer SuccessData AnalysisFinancial AnalysisProgrammingMachine LearningOperations
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Full job description

- 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.

- 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.

- 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.

- 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.

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

- Contribute directly to Clarasight's full-stack production codebase.

- Have 5–8+ years in software engineering, data engineering, or technical consulting.

- Have a track record of delivering in ambiguous, high-ownership environments.

- Have spent meaningful time wrangling messy enterprise data.

- Communicate clearly across technical and non-technical audiences.

- Demonstrated outcomes applying AI/ML to real operational data.

- Prior experience in a forward-deployed, solutions, or founding-engineer capacity at a startup.

- Exposure to corporate travel, expense, or procurement data.

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.

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

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

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This posting was published by Clarasight on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.