Founding Forward Deployed Engineer
At a glance
Mid-level Software Engineering role at Clera. Remote, United States · full-time · $180,000–$250,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Talk with revenue and operations decision-makers to uncover goals and choose problems worth tackling
- Guide customer setup, secure data access, and translate undocumented warehouse structures into business concepts
- Compare notes with customer data and business teams to align definitions and verify data mappings
- Create customer-facing signals, workflows, and tailored agent configurations, then troubleshoot their outputs
- Agree on success measures, analyze deployment results, and turn lessons into reusable evaluation and mapping tools
What you bring
- At least three years in technical work involving substantial customer contact, such as forward deployed or solutions engineering
- A quantitative degree or equivalent background, with applied statistics or modeling experience
- Strong SQL and dbt skills, plus experience interpreting undocumented warehouses and reconciling inconsistent business definitions
- Applied data science knowledge spanning distributions, seasonality, validation design, and calibration
Who this fits
This suits someone who can combine customer-facing engineering with data science and own deployments from discovery through impact analysis. The role is on-site in New York City, and visa sponsorship is unavailable.
From the employer
About the Role
Own customer deployments for an early-stage B2B SaaS company, from initial data access through a trusted system that delivers measurable business outcomes. This founding role combines data engineering, applied AI, and customer collaboration, while building reusable tools and practices to make future deployments more effective.
What You'll Do
Work with customer revenue and operations leaders to understand business goals and identify valuable problems to solve.
Lead customer onboarding, scope data access, and map undocumented warehouse schemas to business concepts.
Interview customer data and business teams to establish consistent definitions and validate data mappings.
Build customer-facing signals and workflows, including custom agent configurations, and diagnose issues with their outputs.
Define success measures with customers and build analysis that demonstrates the impact of deployments.
Turn deployment learnings into reusable validation frameworks, evaluation harnesses, and mapping tools.
What We're Looking For
At least 3 years of experience in a technical customer-facing role, such as forward deployed engineering, solutions engineering, or software engineering with substantial customer engagement.
An engineering or data science background, with applied statistics or modeling experience and a degree in statistics, mathematics, computer science, or a comparable quantitative field.
Strong SQL and dbt skills, plus experience navigating undocumented data warehouses and resolving inconsistent business definitions.
Applied data science knowledge, including distributions, seasonality, validation design, and calibration.
Experience building custom agent setups beyond default implementations and defining metrics to demonstrate customer outcomes.
Experience at an early-stage startup, or a combination of large-company experience with startup or founder experience. Founder experience is valued.
A detail-oriented, evidence-driven approach and comfort with ambiguity and end-to-end ownership.
Compensation & Benefits
Base salary: $180,000 to $250,000 annually. Visa sponsorship is not available.
Location
On-site in New York City, New York.
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