Founding Forward Deployed Engineer
Clera · Remote · US only
Apply on Clera's sitePrepare with the Apply kit
First recorded by Psst: 31 October 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- 3+ years required
- Where you can live
- US only
- Skills and tools
- sql, machine learning, customer success, onboarding, saas
- Degree or licence
- Mentioned (degree in)
- Job type
- Full-time
Read from the ad by Psst's rules. Check the full ad below before applying.
Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- $180K–250K/yr
- Experience
- 3+ years required
- Employer publication date
- 30 October 2026
- First recorded by Psst
- 31 October 2026
- Last checked at the source
- 31 October 2026
About the job
ABOUT THE ROLE
Own customer deployments for an early-stage SaaS company, from understanding business goals and connecting to data through delivering a trusted system with measurable impact. The role brings together data engineering, applied AI, and customer success, while also building reusable tools and practices to improve future deployments.
WHAT YOU'LL DO
- Partner with revenue and operations leaders to understand business objectives 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 reconcile conflicting definitions and validate the resulting ontology.
- Build customer-facing signals and workflows, including custom agent configurations, and troubleshoot their outputs.
- Agree on success measures, analyze results, and build a credible evidence-based case for customer impact.
- Develop reusable validation frameworks, evaluation harnesses, and mapping tools to accelerate deployments.
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 exposure.
- Strong SQL and dbt skills, with deep familiarity navigating data warehouses and undocumented schemas.
- A quantitative degree in statistics, mathematics, computer science, or a comparable field, plus a foundation in data science or machine learning.
- Applied statistics and modeling experience, including distributions, seasonality, validation design, and calibration.
- Experience creating custom agent setups beyond default implementations and building analytical cases tied to customer outcomes.
- Ability to resolve inconsistent business definitions through interviews and data validation, with careful attention to detail and comfort working through ambiguity.
- Founder experience or a non-traditional path into engineering is a plus.
COMPENSATION & BENEFITS
Base salary is $180,000 to $250,000 USD annually. Visa sponsorship is not available.
LOCATION
On-site in New York City, United States.
- Reposted 6 times
A resume that gets past the first 6 seconds
Recruiters skim. The Psst resume coach fixes what makes them skip you, line by line. Premium then shapes it for the exact job you're applying to.
- 1Every line checkedWeak starts, clichés and AI-sounding phrases flagged, with a 3-question fix.
- 2Tailored to the jobSee which skills and tools from the ad your resume is missing. Try it free on one of your matches.
- 3Ready for remoteTime zone, tools and proof you work on your own, the things remote teams look for.
- 4Looks the partOne page and an ATS-safe PDF, free. Premium adds 6 designs, 8 colours and a matching cover letter.
Example with made-up details. The score is the builder's own check, not an ATS rating or a promise of an interview.