Senior Engineering Manager, Machine Learning (AI)

Location: San Francisco, California, United States; office attendance is expected 3+ days per week.

Salary: $268,000–$315,000 USD annual base salary or on-target earnings range.

Company

hirify.global builds a data platform for safe and fair decisions, providing AI-powered verification for employment, housing, transportation, childcare, and other use cases.

What you will do

• Lead, hire, coach, and develop the Machine Learning Engineering team across multiple levels of seniority.
• Set a multi-quarter ML strategy and roadmap tied to customer outcomes, revenue, accuracy, reliability, and cost.
• Raise production engineering standards through APIs, testing, CI/CD, observability, on-call ownership, and reliability targets.
• Establish shared systems for evaluation, training-data provenance, model and prompt versioning, monitoring, retraining, latency, and cost management.
• Advance NLP, classification, information extraction, entity resolution, profile integrity, fraud detection, and workforce-integrity products.
• Guide AI agent systems combining specialized models, LLMs, tools, governed knowledge, and reusable infrastructure.

Requirements

• 10+ years building software and machine learning or AI systems, with increasing scope and impact.
• 3+ years managing ML or software engineers, including hiring and developing senior and staff-level technical leaders.
• Strong software-engineering foundation and experience shipping ML systems into production.
• Technical depth across the ML lifecycle, including data and labeling, experimentation, deployment, APIs, CI/CD, observability, evaluation, retraining, and incident response.
• Experience setting direction in applied ML domains such as NLP, classification, extraction, entity resolution, risk, fraud, or recommendation.
• Executive-level communication, cross-functional influence, people leadership, and the ability to turn ambiguous business problems into measurable roadmaps.

Nice to have

• Experience building ML infrastructure or MLOps platforms used by multiple teams.
• Background in document intelligence, OCR, graph systems, identity resolution, trust and safety, fraud, or risk.
• Experience operating ML in compliance-sensitive fintech, legal tech, HR tech, healthcare, or security domains.
• Experience with Python, AWS/SageMaker or similar cloud ML platforms, Snowflake, Spark, and modern data tooling.
• Experience launching an AI product from customer discovery through production scale.

Culture & Benefits

• Fast-paced, collaborative environment focused on shipping and measurable results.
• Competitive cash and equity compensation with advancement opportunities.
• Learning and development allowance.
• 100% medical, dental, and vision coverage.
• Flexible PTO, monthly wellness stipend, and up to $25,000 reimbursement for fertility, adoption, and parental planning services.
• In-office perks include meals, commuter support, snacks, and beverages; a relocation stipend may be available for relocation to a hirify.global hub.