Manager, AI Engineering – Analytics

Drata

AI Engineering Manager responsible for AI-driven analytics and leading a team of engineers at Drata. Stay hands-on with coding while also developing management skills in a hybrid work environment.

Posted 6/16/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $197,800 - $267,600 per yearWebsite

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Hard Skills

software engineeringAIMLdata engineeringanalytics engineeringSQLmodelingproduction softwarefull stack developmentevals

Soft Skills

leadershipmentoringcommunicationgoal settingfeedbackteam managementperformance managementcareer growthcollaborationproblem solving

Tools & Technologies

data warehousesAI-driven analyticsmulti-tenant data accesstooling

Certifications & Qualifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineering

Industry Keywords

AI/MLagentsLLMsproduction deploymentdata access patternsend-to-end deliverytechnical direction

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Stay deeply hands-on by writing code, designing systems, and reviewing PRs
Own critical paths and pair with engineers on the hardest parts of the product
Set the bar for engineering quality through your own work
Lead a small, focused team of engineers and grow it thoughtfully over time
Set clear goals, run good 1:1s, and create an environment where engineers do their best work
Give direct, useful feedback and help engineers grow in their careers
Invest in the basics of management: hiring, performance, career growth, and team health
Partner with leadership to grow into the formal management craft
Set the technical direction for AI-driven analytics and the data foundation underneath it
Define multi-tenant data access patterns that safely serve customer-scoped data at scale
Make sound build, buy, and adopt decisions for the team's tooling
Drive end-to-end delivery from spec to GA

Requirements

What you’ll need

6+ years of software engineering experience, with at least 2 focused on AI/ML or applied AI work (agents, LLMs, evals, or similar)
At least one agent or LLM-powered system deployed to production that you owned end-to-end
Hands-on experience building and using evals to measure and improve AI quality
Solid data engineering or analytics engineering experience, including SQL, modeling, and modern data warehouses
Track record of shipping production software on small teams and operating across the full stack
Experience as a tech lead, project lead, or strong mentor, with a desire to grow into formal management
Strong written and verbal communication
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.

Benefits

Comp & perks

Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents
401(k) plan
Company-paid life and disability insurance
Tax-advantaged spending accounts
Paid Parental Leave policy
Kindbody fertility and family-building benefits
Annual stipends for professional and personal development
Flexible vacation policy
Paid holidays