Forward Deployed Engineer

Clera

  • New York, New York
  • 2 days ago

    Highlights

    Own customer deployments end-to-end — from scoping and business logic translation to data ingestion, pipeline delivery, and ongoing optimization — primarily with mid-market to large-cap operators. As a Forward Deployed Engineer (FDE) , you'll sit at the intersection of customers and product, translating complex, real-world business problems into autonomous software that actually ships.

    Numbers & Facts

    LocationNew York, New York
    Websitehttps://www.getclera.com/

    Description

    About the Role

    This is a rare opportunity to join a fast-growing, early-stage AI startup — backed by Y Combinator — that is building agentic AI systems for the acquisitions and private equity space. As a Forward Deployed Engineer (FDE), you'll sit at the intersection of customers and product, translating complex, real-world business problems into autonomous software that actually ships. You'll report directly to the C-suite, own customer deployments end-to-end, and help shape the core platform alongside a lean, high-velocity team in New York.

    This role is ideal for a scrappy builder with a business mind — someone equally comfortable talking to a CFO as they are writing a SQL pipeline. Prior exposure to private equity, M&A, or roll-up environments is a strong plus.

    Note: US citizenship or valid work authorization is required. Visa sponsorship is not available.

    What You'll Do

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

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

    • Translate real-world operational complexity into scalable, autonomous software solutions.

    • Join sales calls and identify customer expansion opportunities in support of go-to-market efforts.

    • Work directly with non-technical stakeholders (executives, operators, business leaders) to surface requirements and turn them into technical specifications.

    What We're Looking For

    Required:

    • 2+ years of experience in consulting, finance, data engineering, or analytics roles.

    • Strong SQL proficiency — querying, transforming, and wrangling messy data.

    • Demonstrated ownership of end-to-end data projects including ingestion, pipeline development, and production deployment.

    • Python proficiency (or a clear track record of picking up languages quickly) for data engineering and AI integration tasks.

    • Experience with ETL processes, data modeling, or data warehouse design.

    • Ability to translate business requirements into technical specifications and data solutions.

    • Excellent communication skills — comfortable working with executives and operators, not just engineers.

    • US citizenship or existing work authorization (no sponsorship available).

    Nice to Have:

    • Hands-on experience building with LLM APIs, AI tools, or agentic workflows (personal projects count).

    • Experience building internal data platforms, migration pipelines, or process automation systems.

    • Domain knowledge in private equity, roll-ups, M&A, or multi-system enterprise environments.

    • Proficiency with Excel for data analysis and business logic modeling.

    You'll thrive here if you are:

    • Scrappy, autonomous, and action-oriented — you ship first and iterate fast.

    • Comfortable with ambiguity and unstructured problems.

    • Energized by direct customer interaction and real-world business complexity.

    Compensation & Benefits

    • Salary: $110,000 – $150,000 USD annually, based on experience.

    • Early-stage equity participation.

    • High-ownership, high-impact role with direct access to company leadership.

    Location

    This is a full-time, on-site role based in New York, NY. Candidates must be willing to work in-office. Remote or hybrid arrangements are not available for this position.

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