Role OverviewThe Machine Learning Platform team builds the training pipelines, feature infrastructure, and evaluation systems behind every score Sift returns. We're hiring a Senior Engineering Manager to lead this team as a backfill for our outgoing lead. This isn't a maintenance role — it's a chance to modernize a foundational platform at a moment when the stakes are high.
What You Will Do
You'll lead and grow the team, stay technical, drive customer POVs, reduce technical debt, build evaluation frameworks, automate the ML lifecycle, and partner cross-functionally.
Why It Might Be a Fit
You're a manager who's inspiring and technical, and who knows how to bring focus to what matters now without losing sight of the long term. You value collaboration and transparency, operate with a get-stuff-done mindset, and bring the technical depth and bias for shipping to spot the manual, brittle, or duplicated work that's quietly slowing the team down.
Requirements
- 8+ years of overall hands-on engineering experience, including 4+ years managing software or machine learning engineering teams.
- Deep technical fluency in machine learning systems: model training pipelines, feature engineering, model serving, and evaluation at production scale.
- Proven track record leading technical customer engagements or POVs, including direct interaction with enterprise customers.
- Demonstrated success reducing technical debt in a live, high-traffic production system without stalling feature delivery.
- Experience designing or scaling evaluation frameworks (offline and/or online) for machine learning models.
- Track record of identifying manual, repeatable engineering processes and driving their automation.
- Experience hiring, mentoring, and developing engineering talent.
- B.S. in Computer Science (or related technical discipline), or equivalent practical experience.
Benefits
- Competitive total compensation package
- 401k plan
- Medical, dental and vision coverage
- Wellness reimbursement
- Education reimbursement
- Flexible time off
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