Develop and own the roadmap for Socure’s AI/ML platform, including data and feature engineering workflows, training infrastructure, experimentation tooling, model deployment/serving, monitoring, and governance.
Define architecture and standards that create clear, scalable, and secure paths for building and operating AI systems.
Assess technology options and drive consolidation across the company to reduce fragmentation and improve consistency across the ML toolchain.
Partner with Data Science, Engineering, Product, and Sales-Enablement teams to develop AI infrastructure that delights Customers.
Lead the design and operation of the end-to-end ML lifecycle: data ingestion, feature engineering, experimentation, training, model registry, deployment, and continuous monitoring.
Guide the team to deliver high-quality platform capabilities with predictable timelines and strong technical rigor.
Implement and enforce best practices around model versioning, auditability, lineage tracking, data governance, and security controls.
Lead, mentor, and grow both senior and junior ICs across ML infrastructure, MLOps, and distributed systems.

Requirements

8+ years of professional software engineering experience, including time spent building or operating large-scale ML, data, or distributed systems platforms.
3+ years of engineering leadership experience managing multiple teams or engineering managers.
Strong technical background in ML infrastructure, data engineering, and/or cloud-native distributed systems.
Demonstrated experience delivering complex, cross-functional platform initiatives.
Excellent communication and stakeholder management skills, with the ability to translate between technical detail and business priorities.
Experience working in fast-paced, iterative environments using modern development practices.

Benefits

Offers Equity
Offers Bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML platform developmentdata engineeringfeature engineeringmodel deploymentmodel monitoringMLOpsdistributed systemscloud-native systemsdata governancemodel versioning

Soft Skills

leadershipcommunicationstakeholder managementmentoringteam collaborationtechnical rigorproblem-solvingproject managementcross-functional collaborationadaptability