AI Engineering Manager, Drata
$137.6-212.4k
Salary range dependent on candidate location. Plus stock, typically in the form of Restricted Stock Units (RSUs)
Security and compliance automation
Be an early applicant
Security and compliance automation
501-1000 employees
Be an early applicant
$137.6-212.4k
Salary range dependent on candidate location. Plus stock, typically in the form of Restricted Stock Units (RSUs)
501-1000 employees
Company mission
To help companies earn and keep the trust of their users, customers, partners, and prospects.
Role
Who you are
- 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
- 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)
- 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
- 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
- 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)
Desirable
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Our take
Traditional manual compliance workflows are tedious, error-prone and extremely hard to scale, which presents special difficulties for rapidly growing companies in maintaining strong data security. Drata enables companies to manage compliance easily, by automatic monitoring and evidence collection, building a single picture of risk across the company.
The company has several competitors offering compliance automation solutions, including Vanta and Secureframe , but Drata is unique in automating the tasks themselves rather than generating notifications for teams to action. This approach has garnered Drata a client base of thousands of companies including bambooHR, Notion and Abnormal.
Drata has grown swiftly since its 2020 founding. Iconiq Growth and GGV Capital have led Drata's impressive funding rounds. It intends to use its influx of cash to invest heavily in research and development, and to roll out new features for auditors and startups.
Freddie
Company Specialist at Welcome to the Jungle
Insights
90% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2022
$200m
SERIES C
Nov 2021
$100m
SERIES B
Total funding: $328.2m
Company benefits
- 100% coverage for medical, dental, and vision
- $500 annually towards personal development opportunities
- Unlimited vacation policy for strong, fully charged batteries
- Flexible hours and work from home (especially these days!)
- Reach your financial goals while reducing your taxes
- Pre-tax savings plans for healthcare and dependent care
- Work From Home Stipend
- Learning Enrichment Stipends
- 16 weeks fully-paid parental leave
- 401K Retirement Plan
Company HQ
University City, San Diego, CA
Leadership
Adam Markowitz
(CEO)Previously VP & GM at Instructure. Founder & former CEO of Portfolium. Has worked in Mechanical and Aerospace Engineering.
Daniel Marashlian
(CTO)Former Technical Advisory Board Member at the National University. Previously Senior Director Of Engineering at Instructure. Co-founded Portfolium and RapidEngage.
Troy Markowitz
(COO)Advisor at Knack and former Contributor to Forbes. Previously the VP of Strategy, Growth Markets at Instructure. Prior experience in Business Development.
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