Engineering Manager

This is a fully remote position, open to applicants in United States, +1 more state.

📋 Description

• Lead a Product Engineering squad consisting of around 8–15 engineers.

• Report directly to the Senior Vice President of Engineering.

• Manage the team budget and plan for headcount.

• Recruit outstanding engineers while nurturing the growth of current team members.

• Oversee performance management and make necessary fit decisions.

• Establish team processes, norms, and delivery methodologies.

• Ensure predictable and high-quality delivery of work that impacts customers.

• Keep the team aligned with customer needs and the bots they produce.

• Enhance testing, validation, developer experience, and overall production quality.

• Engage in engineering-management decisions regarding hiring, career pathways, roadmap prioritization, OKRs, quality standards, delivery processes, AI integration, organizational design, on-call duties, incident culture, and capacity planning.

• Transform AI experimentation into team-level advancements in throughput, quality, and speed to production.

⛳️ Requirements

• Minimum of 5 years of experience in managing engineers or engineering teams.

• Over 10 years of experience in a technical field such as software engineering.

• Proven history of hiring, developing, and managing talented technical professionals.

• Experience overseeing team budgets and planning for headcount.

• Demonstrated hands-on AI proficiency with practical experience using contemporary AI tools in real-world scenarios, along with tangible results.

• Proven track record of delivering software reliably as part of a team.

• Strong technical knowledge in system design and associated trade-offs.

• Experience collaborating closely with Product and other cross-functional teams.

• Capability in people management and servant leadership.

• Ability to build trust, foster career growth, and guide senior engineers.

• Technical credibility among engineers.

• Customer-centric mindset.

• Preferred: experience in conversational AI, voice or telephony, machine learning systems, or real-time infrastructure.

• Preferred: experience in scaling testing and validation for AI or nondeterministic systems.

• Preferred: comfort in a lean, fast-paced, remote startup environment.

• 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.

• Funding for conferences, books, and courses through a tech and learning stipend.

• Flexible remote work options and calendar management.

• Flexible vacation policies.

• Paid sabbatical available after 5 years of service.

• Comprehensive benefits package.

• Stipend for physical and mental well-being.

• Competitive salary offerings.

• Opportunity for equity/shared ownership in the company.