Engineering Manager, Data Platform – ML Ops

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Fingerprint

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🔌 API

☁️ SaaS

💰 $32M Series B on 2021-11

Cybersecurity • API • SaaS

Fingerprint is a technology company focused on bot detection and identification solutions. The platform helps businesses ensure a secure online environment by accurately identifying users and distinguishing between real users and automated bots. They provide developer guides and workspace settings for easy integration into various applications, enhancing security and user experience.

📋 Description

• Lead and mentor a team of 4-6 engineers spanning data platform and ML operations. • Own the reliability, scalability, and evolution of Fingerprint's internal data warehouse supporting business analytics, product analytics, identification, and smart signals products. • Oversee the full ML Ops lifecycle, including experimentation, training pipelines, model deployment, and production monitoring. • Provide technical leadership, collaborate with senior engineers, guide architecture decisions, and review complex technical proposals. • Collaborate with data scientists, product managers, data analysts, and engineering leads to translate data and ML investments into measurable product outcomes. • Coach and support engineer growth and promote continuous learning. • Define and evolve platform standards, tooling, and best practices across data platform and ML Ops.

🎯 Requirements

• Minimum 2 years of experience leading data engineering, ML engineering, or platform teams in an agile environment. • At least 5 years of professional experience in data engineering, ML engineering, or adjacent software engineering, particularly within SaaS. • Hands-on experience in both data infrastructure and ML systems. • Strong technical background across data infrastructure and ML systems. • Experience managing engineers across multiple technical disciplines. • Proven ability to lead teams shipping high-reliability data products prioritizing quality and user impact. • Demonstrated success driving change and innovation in fast-paced, scaling environments. • Preferred: experience leading teams in a startup or high-growth environment. • Preferred: familiarity with ClickHouse, DataBricks, Snowflake, or BigQuery. • Preferred: experience with ML lifecycle tooling, including training pipelines, model serving, and production monitoring. • Preferred: experience with AWS and cloud-based data and ML infrastructure. • Must be authorized to work from the home location; Fingerprint does not sponsor visas.

🏖️ Benefits

• 100% remote work • Inclusive work environment • Continuous learning opportunities • Compensation varies based on relevant experience, education, certifications/licenses, skills, training, and market conditions