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4 Arlo Sales Jobs Hiring Near You

Senior ML Infrastructure Engineer

Manhattan, NY · On-site

$119K - $162K/yr

Arlo is a company focused on rebuilding health insurance for small businesses by leveraging AI to ... sales ops, finance, and clinical. Qualifications : Required : • A strong track record of building ...

Arlo is rebuilding health insurance for small businesses from first principles: making sure as much ... You'll report directly to the CEO and collaborate closely with design, product, and sales. This ...

Arlo is rebuilding health insurance for small businesses from first principles: making sure as much ... You'll report directly to the CEO and collaborate closely with design, product, and sales. This ...

Arlo is rebuilding health insurance for small businesses from first principles: making sure as much ... You'll report directly to the CEO and collaborate closely with design, product, and sales. This ...

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    Senior ML Infrastructure Engineer

    Arlo

    Manhattan, NY • On-site

    $119K - $162K/yr

    Full-time

    Re-posted 19 days ago


    Job description

    Job Summary:
    Arlo is a company focused on rebuilding health insurance for small businesses by leveraging AI to improve efficiency and reduce costs. As a Senior ML Infrastructure Engineer, you will own the data infrastructure that supports underwriting, claims, and operational workflows, ensuring reliable and scalable data pipelines for the entire company.
    Responsibilities:
    • Own our data infrastructure and the core data platform pipelines that drive underwriting and claims.
    • Partner with data scientists and actuaries to turn business logic into production code, owning the underwriting pipeline end-to-end.
    • Set the standards for how we build, monitor, and operate data systems — establishing SLAs, on-call practices, and monitoring that the team relies on.
    • Own and improve the pipelines and API that sit at the core of Arlo's underwriting engine.
    • Build and maintain the ingestion pipelines that bring third-party claims data into our platform.
    • Design systems that handle messy, real-world claims data at scale and make it usable for downstream analytics, underwriting, and operations.
    • Architect and build the data infrastructure that powers operational workflows across the business - quoting portal, cost containment, member engagement - and extend it to non-underwriting teams, including sales ops, finance, and clinical.
    Qualifications:
    Required:
    • A strong track record of building scalable data systems and pipelines in production, with deep proficiency in Spark, Databricks, and modern data processing infrastructure (AWS or equivalent).
    • Fluency across our stack: SQL, PySpark, Python, and Git. You write maintainable code and hold a high bar for code quality on your team.
    • The ability to own workstreams end-to-end with minimal oversight. You make sound judgment calls independently, flag the right risks, and make the people around you better through standards, reviews, and process improvements.
    • Strong communication skills and a highly analytical mindset. You can work with non-technical partners — actuaries, ops, clinical — to turn requirements into action, and you test and analyze your own work before it ships.
    Preferred:
    • Prior experience in a regulated space like healthcare or insurance.
    • Experience supporting data science or actuarial teams in production environments.
    Company:
    Arlo offers small and medium sized businesses affordable health benefits. Founded in 2022, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.