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Salary
$110k – $150k per year
Location
In office (New York)
Seniority
Middle · 3+ years exp
Employment
Full-Time
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.

About the Role

This is a Forward Deployed Engineer role at a YC-backed AI startup building agentic software for the acquisitions and M&A space. You will work directly with customers to translate complex, real-world business problems into scalable software solutions, sitting at the intersection of product and go-to-market on a lean team with direct C-suite visibility.

What You'll Do

  • Own customer deployments end-to-end, covering scoping, business logic translation, data ingestion, pipeline delivery, and ongoing optimization for mid-market to large-cap operators.

  • Build and extend an agentic AI platform in close collaboration with the core software engineering team.

  • Translate messy, real-world business requirements into autonomous software solutions.

  • Support go-to-market efforts by joining sales calls and surfacing customer expansion opportunities.

  • Work with high autonomy on analytical challenges that require both technical depth and strong business judgment.

What We're Looking For

  • 3+ years of professional experience in consulting, finance, data engineering, or analytics, ideally combining domain expertise with a desire to grow technical or customer-facing skills.

  • Strong proficiency in Python and SQL, with hands-on experience in data warehousing, ETL, and data modeling.

  • Experience building and deploying data pipelines, migration pipelines, or data integration systems end-to-end.

  • Familiarity with data warehousing tools such as Snowflake, BigQuery, or Redshift.

  • Hands-on experience building with LLM APIs and AI tools (for example, OpenAI, Anthropic, or LangChain), including personal projects.

  • Excellent communication skills and business acumen, comfortable engaging with operators and finance leaders, not just engineers.

  • Exposure to private equity, roll-ups, M&A, or holding company operations is a plus.

  • US citizenship required; visa sponsorship is not available.

Compensation & Benefits

Base salary: $110,000 to $150,000 USD annually. Visa sponsorship is not available for this role.

Location

On-site in New York, NY, United States.

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