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Salary
$180k – $250k per year
Location
Remote (New York, United States)
Seniority
Middle · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 7, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU Berlin

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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