
Founding Forward Deployed Engineer
Clera · New York · Remote
- Internet & E-commerce
- 11–50 employees
- San Francisco
Mixed hiring record · median 5 days open
Hiring signal
Actively hiring
Posted 3 days ago · still listed on the employer's own board · How we score
All reasons
- This role has been posted 9 times
- 34% of this employer's openings are over 60 days old
In its favour
- Posted 3 days ago
- Still listed on the employer's own board
- Publishes a salary range
- Someone has already applied through it
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.
Skills
- SQL
- dbt
- Data Warehousing
- Data Validation
- Data Science
- Machine Learning
- Statistics
- Mathematics
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