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Replicant

Engineering Manager

Replicant

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.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong leadership in managing engineering teams, with a focus on hiring, developing talent, and driving high-quality software delivery. Possesses technical depth in system design and AI fluency, ensuring effective collaboration with cross-functional teams and a customer-centric approach.

Highest-signal resume keywords
Team LeadershipAI FluencyPerformance ManagementSystem DesignCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringSystem DesignAI ToolsPerformance ManagementBudget PlanningDelivery ProcessesTesting and ValidationCapacity PlanningRoadmap PrioritizationIncident Management
Soft Skills
Servant LeadershipTrust BuildingCareer DevelopmentCustomer FocusTeam Norms Establishment
Tools & Technologies
AI ToolsML SystemsReal-Time InfrastructureConversational AITelephony Systems
Industry Keywords
Engineering ManagementTechnical Talent DevelopmentPredictable DeliveryLean StartupRemote Work

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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