Machine Learning Manager

Next InsuranceBoston, MA
9d$168,000 - $227,000Hybrid

About The Position

NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.

Requirements

  • 5+ years of experience leading engineers
  • 3+ years of experience in integrating AI or ML models into production
  • Strategic thinking and ability to prioritize initiatives effectively
  • Excellent communication, collaboration and planning skills
  • Proven ability to operate effectively under ambiguity and drive results

Nice To Haves

  • 3+ years of backend engineering experience with high performance or distributed system
  • Experience in agentic AI

Responsibilities

  • Lead and mentor a team of AI and backend engineers
  • Drive delivery of team projects from requirements through deployment
  • Provide technical guidance, review designs and support hands on development when needed
  • Define priorities and coordinate with product and cross functional partners
  • Establish clear processes for planning, execution and quality
  • Maintain focus and clarity in fast moving or ambiguous environments
  • Promote innovation in AI architecture, tools and workflows
  • Identify opportunities for improvement and proactively drive new initiatives.
  • Encourage a culture of experimentation, learning and continuous advancement

Benefits

  • partially subsidized medical plan
  • fully subsidized vision/dental options
  • life insurance
  • disability insurance
  • 401(k)
  • flexible paid time off
  • parental leave

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Education Level

No Education Listed

Number of Employees

501-1,000 employees

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