Engineering Manager - AI Claims Platform (Remote/Hybrid)

EvolutionIQ

Chicago (IL)

Hybrid

USD 150,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) match
Competitive compensation
Remote work option
Career growth

Job summary

CCC Intelligent Solutions Inc. is seeking an Engineering Manager to lead an AI-centric product team in Chicago or remote. You will hire senior engineers, shape the roadmap with product, and own delivery, quality, and metrics.

You’ll stay close to the tech, review designs, and ensure AI features are customer-ready. You’ll manage software, ML, and AI engineers, collaborate across reporting lines, and mentor teams to scale impact while maintaining rigorous engineering standards and clear executive

Qualifications

  • Typically 8+ years in software engineering, including 3+ years managing engineers.
  • Experience shipping AI, ML, or LLM-powered products to production.
  • Track record of hiring well and growing teams.
  • A data-driven approach using metrics to run the team and judge outcomes.
  • Comfort leading across multiple reporting lines with executives.

Responsibilities

  • Hire, grow, and retain a strong team of software, ML, and AI engineers with clear feedback.
  • Own delivery: planning, priorities, execution, and production quality with measurable metrics.
  • Partner with product and domain experts to shape the roadmap and lead across teams.
  • Set how the team uses AI-assisted engineering tools and model it yourself.

Skills

Software engineering
People management
AI/ML experience
Cross-functional collaboration

Tools

TypeScript
Python
AI tools

Job description

CCC Intelligent Solutions Inc. is seeking an Engineering Manager to lead an AI-centric product team in Chicago or remote. You will hire senior engineers, shape the roadmap with product, and own delivery, quality, and metrics.

You’ll stay close to the tech, review designs, and ensure AI features are customer-ready. You’ll manage software, ML, and AI engineers, collaborate across reporting lines, and mentor teams to scale impact while maintaining rigorous engineering standards and clear executive

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