Founding Forward Deployed Engineer
Overview
Cleragetclera.comPosted 3 days ago
New York City, NY, US$180k to $250k per yearदूरस्थ
Quick apply- वरिष्ठतेची पातळी
- Mid
- नोकरीचा प्रकार
- पूर्णवेळ
- कामाचा अनुभव
- 3+ years
- विशेषीकरण
- General engineering
- व्हिसा प्रायोजकत्व
- या भूमिकेसाठी प्रायोजकत्व दिले जात नाही
भूमिकेबद्दल
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.
Responsibilities
- 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.
Key skills
- Data Engineering
- Customer Success
- SQL
- dbt
- Statistics
- Data Science
- Machine Learning
Benefits & perks
Base salary is $180,000 to $250,000 USD annually. Visa sponsorship is not available.
- Remote friendly
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.
Location
On-site in New York City, United States.