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Role Description

This role involves leading an innovative team responsible for enhancing the data lifecycle that supports machine learning processes.

• Set and execute the technical strategy aligned to metrics such as increasing data evaluation velocity.
• Establish clear end-to-end ownership across the data lifecycle.
• Accelerate third-party data onboarding through standardized practices.
• Drive data quality frameworks to prevent launch issues.
• Unlock internal data for ML innovation by improving metadata coverage.
• Champion a company-wide shift towards data contracts and SLAs.
• Build and lead a high-performing team in data integration and infrastructure.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or related field.
• 8 years of engineering experience, with 3 years in a management role.
• Proven experience in building and scaling data platforms for ML workflows.
• Demonstrated ownership of cross-functional engineering initiatives.
• Experience designing and enforcing data quality frameworks and SLAs.
• Strong technical foundation in modern data stacks and architectures.

Benefits

• Competitive compensation package including salary, bonuses, and equity grants.
• Generous 401(k) with matching contributions.
• Employee Stock Purchase Plan (ESPP) with discounts on stock.
• Affordable medical, dental, and vision coverage.
• Health Savings Account contributions.
• Paid time off, family leave, and company holidays.
• Annual wellness and productivity allowances.
• Employee Assistance Program (EAP) for mental health support.