Gradient AI Logo

Gradient AI

Data Engineering Manager

Sorry, this job was removed at 07:26 a.m. (PST) on Friday, Jun 26, 2026
Easy Apply
Remote or Hybrid
Hiring Remotely in USA
Easy Apply
Remote or Hybrid
Hiring Remotely in USA

Similar Jobs at Gradient AI

27 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
160K-194K Annually
Senior level
160K-194K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Lead complex modeling projects combining deep learning, LLMs, and traditional techniques. Prototype, deploy, and monitor production models, mentor data scientists, collaborate with engineering/product, and translate results into business impact for insurance customers.
Top Skills: APIsBig DataCi/CdDockerExperiment TrackingFederated LearningGlmJupyterLlmsMlopsModel ServingNeural NetworksPipeline OrchestrationPythonTime Series ModelingTransformersXgboost
27 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
190K-235K Annually
Senior level
190K-235K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Lead high-impact modeling initiatives using deep learning, LLMs, and traditional methods. Prototype, deploy, and monitor hybrid models on large insurance datasets, drive MLOps standards, and communicate results to nontechnical stakeholders to realize business impact.
Top Skills: Deep LearningFederated LearningGlmJupyterLarge Language ModelsMlopsPythonSequence ModelingTime Series ModelingTransformersXgboost
27 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
135K-165K Annually
Senior level
135K-165K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Lead end-to-end development and deployment of predictive and hybrid deep learning/LLM models for insurance use cases. Prototype, validate, and productionize models using modern ML frameworks and MLOps, collaborate with product and engineering, and communicate technical results to stakeholders to drive measurable business impact.
Top Skills: APIsAWSAzureCi/CdDatabricksDockerExperiment TrackingFederated LearningGCPJupyterLightgbmLlmsModel ServingNeural NetworksNumpyPandasPipeline OrchestrationPythonPyTorchRelational DatabasesScikit-LearnSQLTensorFlowTime Series ModelingTransformersXgboost

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. 

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account