AI Engineering Manager

About the Role:

As a skilled and mission-driven AI Engineering Manager, you will lead, direct, manage, and participate in the day-to-day operations of a team of software, data and AI engineers working closely with QA engineers, product owners and business. You will manage all the operational aspects of the teams to ensure business and product\project objectives are met. You provide administrative, technical, and people leadership for multiple, diverse, and geographically distributed teams. You provide feedback to the team and individuals on their performance. You will coach and guide teams to enable future success. Also be a partner with the VP and CTO on strategic initiatives and future business growth opportunities and ensuring the engineering organization can scale to meet the business needs while pushing the envelope of innovation

As a member of the engineering team, you are responsible for coaching, mentoring, managing, and leading the talent within an agile environment.

In this role, you will:

• Define and deliver AI strategy – Drive the development and deployment of advanced AI models and systems that power Abacus products (e.g., Abacus Agents, MCP, SQL and RAG tools).
• Lead cross-functional collaboration – Work closely with AI engineers, data engineers, and product teams to create solutions that boost user productivity and satisfaction.
• Manage and mentor teams – Oversee software development teams (30+ engineers) across multiple product lines, guiding architecture decisions, coding standards, and organizational best practices.
• Drive innovation and execution – Lead critical projects in AI and data engineering, ensure roadmap delivery, and maintain high quality standards.
• Influence architecture and operations – Participate in architectural discussions, improve processes for Agile/Scrum teams, and balance roadmap commitments with operational priorities.
• Scale for growth – Coach and develop talent, evolve team structure toward 50+ engineers, and foster a culture of excellence.

What you have in return:

• 8–10 years in engineering roles, including 3–5 years managing technical teams.
• 4+ years in ML/AI engineering within high-growth environments or equivalent academic research experience.
• 2+ years working with Databricks, Mosaic AI Gateway, and related Data+AI technologies.
• Proven success managing engineering teams/projects to deliver production-grade systems; this includes personnel, performance, deliverables management, mentoring, coaching, etc
• Hands-on experience with generative models, embeddings, fine-tuning, evaluation benchmarks, agentic workflows (orchestration, observability, debugging), RAG, SQL Agents, MCP, etc.
• Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architectures; strong coding and software engineering principles.
• Experience building distributed, scalable systems for data processing (10s–100s TB).
• Strong analytical/problem-solving abilities, familiarity with adjacent roles (product, project, operations), and ability to influence technical discussions.
• Nice to Have: Exposure to Snowflake, FHIR, or healthcare data.

Our team values open collaboration each day, frequent standup meetings, and a workplace grounded in mutual respect and ongoing professional growth. This role prioritizes direct, hands-on leadership and encourages active involvement with team members. If you are passionate about data engineering and ready to lead a talented team, we encourage you to apply! 

#LI-SB1

#LI-Remote