Forward Deployed Engineer

ClarasightLisbon, MA

About The Position

Clarasight is seeking a Forward Deployed Engineer who excels at the intersection of technical expertise and customer engagement. This role involves embedding within complex enterprise environments to build solutions during sales cycles and translate learnings into product features. The position sits within the Engineering team but requires significant interaction with Sales and Customer Success, focusing on pre-sales and strategic customer engagements. It's a build-and-own role where the engineer will lead technical discovery, architect and prototype integrations and AI workflows, reconcile enterprise datasets, contribute to the production codebase, and transform customer-specific solutions into scalable product capabilities.

Requirements

  • 5–8+ years in software engineering, data engineering, or technical consulting
  • Track record of delivering in ambiguous, high-ownership environments
  • Experience contributing to production codebases
  • Meaningful time spent wrangling messy enterprise data
  • Clear communication across audiences
  • Ability to move fast
  • Experience with fintech or enterprise financial systems is a plus
  • Demonstrated outcomes applying AI/ML to real operational data

Responsibilities

  • 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
  • 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
  • Design and build pipelines across fragmented travel, financial, and expense systems
  • Reconcile, validate, and shape messy, low-quality enterprise data into something reliable
  • Build frameworks that last
  • Apply AI where it genuinely creates advantage: enrichment, anomaly detection, forecasting, automation
  • Turn experiments into repeatable, scalable workflows
  • Feed structured learnings directly into Product, making customer-specific solutions part of the platform

Benefits

  • 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
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