Engineering Manager

The role

You will lead a Product Engineering squad of 8 to 15 engineers. You will manage people growth, team processes, and predictable delivery of software. You will also hold budget and headcount-planning responsibility.

What you will do

• Hire exceptional engineers and grow existing talent
• Create an environment for high-speed engineering work
• Turn individual AI experimentation into team-level results
• Drive predictable, high-quality delivery of customer work
• Shape product solutions and keep the team close to customers
• Invest in engineering excellence, testing, and validation
• Manage team budget and headcount planning
• Collaborate with other engineering managers on department decisions

Required qualifications

• 5+ years of experience managing engineers or engineering teams
• 10+ years of experience in a technical field, such as software engineering
• A 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
• A 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
• Legally authorized to work in the United States or Canada

Nice to have

• Experience in conversational AI, voice or telephony, ML systems, or real-time infrastructure
• Built or scaled testing and validation for AI or nondeterministic systems
• Comfort in a lean, fast-moving, remote startup

Benefits

• Company-wide offsites and smaller team gatherings
• Tech and learning stipend for conferences, books, and courses
• Flexible vacations
• Paid sabbatical after 5 years
• Comprehensive benefits
• Stipend to support physical and mental well-being
• Competitive salaries
• Equity

Before you apply

• You must be legally authorized to work in the United States or Canada

About the company

Replicant is building the autonomous contact center using AI that manages conversations end to end. The engineering organization consists of about 50 people.