Scan your resume against ATS criteria for this Senior Engineering Manager, ML Platform role at Sift.
Location: San Francisco, California or Seattle, Washington
Employment Type: Full time, Hybrid
The Machine Learning team — internally known as "Potato Radius" — builds the training pipelines, feature infrastructure, and evaluation systems behind every score Sift returns, across more than 700 customers and a trillion-plus events a year. We are Sift's Data Science and ML Engineering team responsible to ship models fast, prove they work, and trust them in production.
We're hiring a Senior Engineering Manager to lead this team. 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. You build a culture of mentorship, give regular and constructive feedback, set clear goals, and grow your team by hiring effectively.
Launch a unified model evaluation framework that gives Data Science fast, trustworthy, apples-to-apples comparisons before a model ever reaches production or shadow traffic.
Evolve core feature infrastructure — including a new global feature store — to improve accuracy and unlock faster experimentation.
Bring a fresh approach to model configuration, replacing tribal knowledge and manual gating with auditable, safely-controlled releases.
Introduce agentic, AI-assisted tooling into customer investigations, automating repetitive data pulls and validation so analysts spend their time on judgment calls, not manual digging.
Build automation that detects an active fraud attack, adjusts score calibration in real time, and cleanly reverts it subsides.
GCP, AWS, Spark, Kafka, Kubernetes, Docker, Databricks, Python
8+ years of overall hands-on engineering experience, including 4+ years managing software, data science or machine learning engineering teams.
Experience managing Data Scientist and/or in-depth knowledge for data science.
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) 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. or MS/Phd in Computer Science (or related technical discipline), or equivalent practical experience.
Experience with large-scale distributed ML infrastructure such as Spark, Flink, Databricks, or similar.
Familiarity with fraud detection, risk, or trust & safety domains.
Hands-on experience with GCP or AWS ML infrastructure.
Experience with streaming architectures (e.g., Kafka) and containerized/orchestrated deployments (Docker, Kubernetes).
Familiarity with using AI coding assistants (e.g., Claude Code) to accelerate development.
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at http://sift.com sift.com and follow us on LinkedIn.
Competitive total compensation package
401k plan
Medical, dental and vision coverage
Wellness reimbursement
Education reimbursement
Flexible time off
At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community – ultimately using this empowerment and authenticity to build trust and create a safer Internet.
_This document provides transparency around how Sift handles the personal data of job applicants: _https://sift.com/recruitment-privacy https://sift.com/recruitment-privacy
Perks
How to apply for Senior Engineering Manager, ML Platform at Sift?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
The salary for this role is USD 240,000 - 340,000/yr per annum.
What experience is required?
8+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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