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About the role

  • Engineering Manager leading Product Engineering squads for Replicant’s autonomous AI contact-center platform. Building teams, improving AI-native delivery, and driving reliable customer outcomes.

Responsibilities

  • Lead a Product Engineering squad of approximately 8–15 engineers
  • Report directly to the SVP of Engineering
  • Own team budget and headcount planning
  • Hire exceptional engineers and develop existing team members
  • Manage performance and make fit decisions when necessary
  • Establish team processes, norms, and delivery practices
  • Drive predictable, high-quality delivery of customer-impacting work
  • Keep the team close to customers and the bots it ships
  • Improve testing, validation, developer experience, and production quality
  • Participate in engineering-management decisions on hiring, career ladders, roadmap prioritization, OKRs, quality standards, delivery processes, AI enablement, org design, on-call, incident culture, and capacity planning
  • Turn AI experimentation into team-level improvements in throughput, quality, and speed to production

Requirements

  • 5+ years of experience managing engineers or engineering teams
  • 10+ years of experience in a technical field such as software engineering
  • Track record of hiring, developing, and managing the performance of strong technical talent
  • Experience owning team budget and headcount planning
  • Demonstrated hands-on AI fluency with practical experience using modern AI tools in real work and something to show
  • History of delivering software predictably with a team
  • Technical depth in system design and tradeoffs
  • Experience partnering closely with Product and other cross-functional teams
  • People-management and servant-leadership capability
  • Ability to build trust, grow careers, and lead senior engineers
  • Technical credibility with engineers
  • Customer-focused approach
  • Preferred: experience in conversational AI, voice or telephony, ML systems, or real-time infrastructure
  • Preferred: experience scaling testing and validation for AI or nondeterministic systems
  • Preferred: comfort in a lean, fast-moving, remote startup
  • Must be legally authorized to work in the United States or Canada
  • Willingness to travel for in-person meetings approximately every six weeks

Benefits

  • Company-wide offsites and smaller team gatherings
  • Conferences, books, and courses funded through a tech and learning stipend
  • Flexible remote work and calendar management
  • Flexible vacations
  • Paid sabbatical after 5 years
  • Comprehensive benefits
  • Physical and mental well-being stipend
  • Competitive salaries
  • Equity/shared ownership in the company

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

RemoteUnited States

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