Manager, AI Engineering (Remote)

We are seeking an experienced Engineering Manager to lead our growing AI/ML engineering team and drive the strategic implementation of artificial intelligence across our platform. In this role, you will be responsible for managing a team of engineers, machine learning specialists, and data scientists while setting the technical vision for AI-driven compliance automation solutions.

As an Engineering Manager for AI/ML, you will bridge the gap between cutting-edge AI research and practical product applications, ensuring our team delivers scalable, ethical, and impactful AI solutions. You will be instrumental in building and scaling our AI capabilities while fostering a culture of innovation, technical excellence, and responsible AI development.

This position requires a unique combination of deep technical expertise in AI/ML, proven leadership experience, and the ability to translate complex AI concepts into business value. You will work closely with cross-functional stakeholders to define AI strategy, prioritize initiatives, and ensure successful delivery of AI-powered features that enhance our compliance automation platform.

What you'll do:

Team Leadership & Development

• Lead, mentor, and grow a team (~7 people) of engineers, ML specialists, and data scientists
• Recruit and hire top-tier AI/ML talent, building a world-class engineering team
• Establish career development paths and growth opportunities for team members
• Foster a culture of continuous learning, experimentation, and technical excellence
• Conduct performance reviews, provide feedback, and support professional development

Technical Strategy & Vision

• Define and execute the technical roadmap for AI/ML initiatives across the platform
• Collaborate with product leadership to translate business requirements into technical AI solutions
• Stay current with AI/ML research and industry trends, evaluating new technologies for adoption
• Establish technical standards, best practices, and guidelines for AI/ML development
• Drive architectural decisions for scalable AI systems and infrastructure

Project & Program Management

• Oversee end-to-end delivery of complex AI/ML projects from concept to production
• Manage project timelines, resource allocation, and risk mitigation strategies
• Coordinate with cross-functional teams including Product, Engineering, Security, and Compliance
• Establish metrics and KPIs to measure AI/ML project success and business impact
• Ensure projects align with company objectives and compliance requirements

Cross-Functional Collaboration

• Partner with product managers to define AI-driven features and capabilities
• Work with compliance teams to ensure AI solutions meet regulatory and ethical standards
• Collaborate with infrastructure teams to build scalable ML platforms and deployment pipelines
• Engage with business stakeholders to communicate AI capabilities and limitations
• Support sales and marketing teams with technical expertise for AI-related initiatives

Innovation & Research

• Drive innovation in AI applications for compliance automation and security
• Encourage experimentation with emerging AI technologies and methodologies
• Promote knowledge sharing through tech talks, publications, and conference participation
• Balance innovation with practical delivery of business value

What you'll bring:

Technical Expertise

• Deep understanding of machine learning, deep learning, and AI technologies
• Hands-on experience with ML frameworks (ex: TensorFlow, PyTorch) and deployment at scale
• Knowledge of LLM technologies, including fine-tuning, prompt engineering, and RAG systems
• Understanding of ML infrastructure, including cloud platforms, containerization, and CI/CD
• Experience with data engineering, feature stores, and ML operations (MLOps)

Strategic & Business Acumen

• Ability to translate business requirements into technical AI solutions
• Experience working with product management and business stakeholders
• Understanding of compliance, security, and regulatory requirements in AI development
• Track record of building AI products that deliver measurable business value
• Experience with budget management and resource planning for technical teams

Communication & Collaboration

• Excellent communication skills with ability to explain complex AI concepts to diverse audiences
• Experience presenting to executive leadership and board-level stakeholders
• Strong cross-functional collaboration skills across engineering, product, and business teams
• Ability to influence without authority and build consensus across organizations
• Experience working in remote or distributed team environments

Requirements:

• 8+ years of software engineering experience with 2+ years in engineering management roles
• Proven experience managing AI/ML teams of 5+ engineers
• Strong technical background in machine learning and AI technologies
• Experience with production ML systems and deployment at scale
• Track record of delivering complex AI/ML projects from concept to production
• Excellent leadership, communication, and project management skills
• Experience working with cross-functional teams and business stakeholders
• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)

Bonus Qualifications

• Advanced degree (MS/PhD) in Computer Science, AI/ML, or related field or equivalent experience
• Experience in compliance, security, or regulatory technology sectors
• Background in building AI platforms or developer tools
• Previous experience at high-growth SaaS companies
• Publications or contributions to AI/ML research community

Benefits:

• Healthcare: 90-100% paid premiums for medical, dental, and vision plans for employee and dependents + on demand health care concierge
• HSA, FSA, & DCFSA: Pre-tax savings plans for healthcare and dependent care, with up to a $600 annual employer contribution to the HSA plan (if enrolled in HSA medical plan)
• 100% paid short and long term disability plus life + AD&D benefits
• Learning & Development: $500 annually towards professional development opportunities + $250 annually towards personal development opportunities
• Flexible Time Off: Flexible vacation policy for strong, fully charged batteries
• 16 Weeks Paid Parental Leave: An inclusive policy to ensure you have time with your newborn, newly adopted, or foster child
• Work Remotely: Flexible hours and work from home + $1,000 annually to cover necessary business related items for your home office
• 401K: Reach your financial goals while reducing your taxes

This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for each US-based role is based on where the employee works and is aligned to one of 3 tiers based on the cost of labor for that geographic area. The expected salary ranges for this role are below, subject to change. 

Tier 1: $172,000 - $212,400

Tier 2: $154,800 - $191,200

Tier 3: $137,600 - $169,900

You can view which tier applies to where you plan to work here. A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.