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Forward Deployed Engineer

Role overview

Qualifications

  • 3+ years of professional experience in consulting, finance, data engineering, or analytics
  • Strong proficiency in Python and SQL
  • Hands-on experience designing and delivering data pipelines, ETL workflows, and data integration systems
  • Familiarity with data warehousing tools and concepts

Responsibilities

  • Own customer deployments end-to-end including scoping and optimization
  • Build and extend an agentic AI platform in collaboration with the engineering team
  • Translate complex business problems into autonomous software solutions
  • Support go-to-market efforts by engaging with customers

Key facts

  • Remote from: New York (USA)
  • Full time
  • Mid-level (2-5 years)
  • 110 - 150K yearly
  • English

Other skills

  • Communication
  • Business Acumen
  • Problem Solving

About the company

Clera Inc. logo

Clera Inc.

Staffing & Recruiting

Company details

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Job description

About the Role

This is a Forward Deployed Engineer role at a Y Combinator–backed AI startup building agentic platforms for the acquisitions and private equity space. You'll sit at the intersection of customer success and product, owning deployments end-to-end as a core member of a small, high-autonomy team reporting directly to the C-suite.

What You'll Do

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

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

  • Translate complex, real-world business problems into autonomous software solutions.

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

  • Work with high autonomy on analytical problems that demand 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 blending technical and business-facing work.

  • Strong proficiency in Python and SQL for data processing, querying, and automation.

  • Hands-on experience designing and delivering data pipelines, ETL workflows, and data integration systems end-to-end.

  • Familiarity with data warehousing tools and concepts (e.g., Snowflake, BigQuery, Redshift) and data modeling for multi-source environments.

  • Experience building with LLM APIs and AI tools (e.g., OpenAI, Anthropic, LangChain) — personal projects count.

  • Excellent communication and business acumen — comfortable engaging with operators, finance leaders, and non-technical stakeholders.

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

  • Scrappy, action-oriented, and comfortable operating in ambiguous, fast-moving environments.

  • US citizenship required. Visa sponsorship is not available.

Compensation & Benefits

Base salary range: $110,000 – $150,000 USD annually.

Location

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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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