Engineering Manager leading remote engineers building pharmacy, clinic, and patient - program technology. Managing technical delivery for Maisha Meds’ healthcare platform across Africa.
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 title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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