Logo for Gradient AI

Data Engineering Manager

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Team Management
  • Collaboration
  • Problem Solving
  • Leadership

Roles & Responsibilities

  • 7+ years of experience with data engineering and software architecture in an enterprise commercial setting
  • 5+ years managing developers, helping grow their careers and improve their skills
  • Strong understanding of data engineering processes and proven track record of facilitating cross team/cross department collaboration
  • Strong experience with cloud technologies, specifically AWS

Requirements:

  • Grow, build, and lead a world-class engineering team
  • Participate in high-level design decisions and execute them
  • Work closely with data engineering, software engineering, and data science team members to create integrated automated processes
  • Be a technical interface for our client implementation team and partners to implement clients

Job description

Gradient AI:    

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry’s largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. 

About the Role:    

If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you.  We are looking for a  data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry.This is a fully remote opportunity. 

How you will make an impact: 

  • Grow, build, and lead a world-class engineering team 
  • Participate in high-level design decisions and execute them 
  • Work closely with data engineering, software engineering, and data science team members to create integrated automated processes that support a robust ML Ops workflow 
  • Be a technical interface for our client implementation team and partners to implement clients 

 Skills needed to succeed:   

  • 7+ years of experience with data engineering & software architecture in an enterprise commercial setting 
  • 5+ years managing developers, helping grow their careers and improve their skills, ideally in a hybrid / remote setting 
  • Strong understanding of data engineering processes and proven track record of facilitating and improving cross team / cross department collaboration 
  • Familiarity with ML model deployment and ML Ops concepts— enough to partner effectively with data science teams
  • Strong experience with cloud technologies, specifically AWS 
  • Familiar with databases (Postgres, MySQL) and application development (Python, Java) 
  • Familiarity with orchestration tools (Airflow), big data processing tools (Databricks), and schema management tools 

Bonus Points for:

  • Experience managing teams across multiple engineering disciplines, including both software and data engineering.  
  • Experience transitioning from client-driven development priorities to product roadmap priorities   
  • Experience working in Insurtech or on AI/ML products  

What We Offer:  

  • A fun, team-oriented startup culture.  
  • Generous stock options - we all get to own a piece of what we’re building.  
  • Unlimited vacation days.  
  • Flexible schedule that supports working from home.  
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.  
  • Ample opportunities to learn and take on new responsibilities.  

We are an equal opportunity employer. 

Salary Range: $170,000-205,000 base salary annually. 
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation. 

Engineering Manager Related jobs

Other jobs at Gradient AI

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.