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About the Role

Checkr is seeking a Senior Engineering Manager to lead the Machine Learning Engineering team within the Data & ML organization. This role is crucial for enhancing the speed, accuracy, and trustworthiness of Checkr's background check products. The manager will lead ML engineers, set technical direction, and drive production outcomes, while also shaping the company's broader AI strategy. The focus is on practical application and shipping results, rather than pure research management.

Responsibilities

Lead and grow the ML Engineering team, including hiring, coaching, and developing engineers.
Set the strategy and roadmap for ML initiatives, aligning with company priorities and focusing on customer outcomes, revenue, accuracy, reliability, or cost.
Raise the production engineering bar by ensuring models and agents are shipped as dependable software with clear APIs, tests, CI/CD, observability, and defined reliability targets.
Build the ML operating model, establishing shared approaches for evaluation, data provenance, versioning, monitoring, retraining, latency, and cost.
Advance core product intelligence by guiding systems for classification, information extraction, entity resolution, profile integrity, and accuracy.
Launch new AI and fraud products in partnership with cross-functional teams.
Lead Checkr's agentic transition by guiding the design of AI systems.
Operate as an executive partner, explaining technical choices and risks to senior leadership and aligning stakeholders.
Model AI-native leadership by using AI to increase team speed and ambition, and by verifying AI outputs.

Requirements

10+ years building software and machine learning or AI systems, with a clear progression in scope and impact.
3+ years managing ML or software engineers, including hiring and developing senior and staff-level technical leaders.
A strong software-engineering foundation and a record of shipping ML systems that run in production.
Technical depth across the ML lifecycle: data and labeling, experimentation, model selection, deployment, APIs, CI/CD, observability, evaluation, retraining, and incident response.
Sound judgment across classical ML, deep learning, LLMs, rules, and conventional software.
Experience setting direction for NLP, classification, extraction, entity resolution, risk, fraud, recommendation, or similarly complex applied-ML domains.
Fluency with modern LLM systems, including structured outputs, tool use, agent orchestration, retrieval, evaluation, latency, quality, and cost trade-offs.
A record of translating an ambiguous business problem into a sharp roadmap, measurable outcomes, and shipped systems.
Strong people leadership skills, including creating leverage through clear ownership, candid feedback, delegation, and coaching.
Executive-level communication and cross-functional influence abilities.
Proficiency in using modern AI tools to increase speed and verify output.
An A-player mindset with a strong bias for action, resilience through ambiguity, and ownership to deliver outcomes.

Skills

Machine Learning
AI
NLP
Classification
Entity Resolution
Profile Integrity
Model Accuracy
Production Services
Risk Detection
Fraud Detection
ML Infrastructure
Evaluation Systems
Observability
Model Lifecycle Management
Agent Orchestration
Software Engineering
CI/CD
On-call Ownership
Reliability Targets
LLM Systems
Structured Outputs
Tool Use
Retrieval
Python
AWS/SageMaker
Snowflake
Spark
Data Tooling
Document Intelligence
OCR
Graph Systems
Identity Resolution
Trust and Safety
Fintech
Legal Tech
HR Tech
Healthcare
Security

Location

San Francisco, CA

Work Type

Onsite (3+ days a week)
Full-time

Experience Level

Senior
10+ years of experience
3+ years of management experience

Salary/Compensations

$268,000—$315,000 USD

Benefits

Learning and development allowance
Competitive cash and equity compensation
Opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend
In-office perks (lunch five times a week, commuter stipend, snacks and beverages)
Relocation stipend may be available

About the Company

Checkr is building the data platform to power safe and fair decisions, with millions relying on their AI verification services.
Over 140,000 companies and millions of people use Checkr for AI verification.
Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.
Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.
The company fosters a team that thrives on solving complex problems with innovative solutions.

Equal Opportunity

Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences.
Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.