Engineering Manager

Job summary

Lead and scale an engineering squad, overseeing recruitment, career development, performance management, and team health. Partner with departmental and cross-functional leaders to set strategy, manage budgets, foster rapid iteration, and deliver reliable production outcomes from AI initiatives.

Job details

Our company description Mission is a platform for hiring, vetting and managing software development talents. It enables our clients to connect with the world’s best talent to build mission-critical software products. About the Company This mid-stage enterprise AI company automates large-scale communications using voice-based agents. Operating in a significantly under-automated market, the organization focuses on deploying production-ready AI solutions for enterprise clients. The engineering department is currently scaling to meet increasing demand, maintaining a culture centered on rapid iteration and high-quality delivery within a remote-first, collaborative environment. About the Role As a dedicated Engineering Manager, you will lead and scale a squad of 8–15 engineers while collaborating with a peer management team to drive departmental strategy. This is a people-centric leadership role focused on professional development, performance management, and strategic headcount planning rather than daily technical execution. You will play a critical role in fostering a high-performance culture, ensuring predictable delivery of customer value, and translating complex AI experimentation into scalable production outcomes. What You’ll Do Lead end-to-end recruitment, career development, and performance management for a growing engineering squad. Collaborate with a cross-functional leadership team to set departmental strategy and manage budget allocations. Establish a culture of rapid iteration and continuous learning to accelerate product shipping cycles. Ensure predictable, high-quality delivery that aligns with core business goals and customer requirements. Translate experimental AI initiatives into consistent team throughput and stable production results. Partner with product and design teams to bridge technical feasibility with business objectives. What You Bring 10+ years of software engineering experience, with at least 5 years in engineering management. Proven track record managing teams of 8 or more engineers, with a primary focus on people leadership and team health. Experience scaling engineering teams within high-growth startup environments or rapid-growth business units. Strong technical foundation enabling effective judgment and credibility with senior engineering talent. Specific, hands-on experience implementing modern AI tools and models in production. Ability to travel approximately every six weeks for in-person team gatherings. Residency and work authorization in the US or Canada. Nice to Haves Background as a founder or experience leading 0-to-1 product initiatives. Domain expertise in conversational AI, telephony, machine learning, or real-time infrastructure. Specialized experience in organizational design, such as developing career ladders or performance calibration frameworks. Experience operating effectively in high-candor, "disagree-and-commit" leadership environments. Compensation & Benefits Meaningful stock option grants. 100% remote work flexibility.

What you’ll do

Lead and scale an engineering squad, overseeing recruitment, career development, performance management, and team health. Partner with departmental and cross-functional leaders to set strategy, manage budgets, foster rapid iteration, and deliver reliable production outcomes from AI initiatives.

Requirements

Requires 10+ years of software engineering experience, including at least 5 years in engineering management and experience leading teams of 8 or more engineers. Candidates should have experience scaling teams in high-growth environments, a strong technical foundation, hands-on production AI implementation experience, and authorization to work in the United States or Canada; travel for team gatherings is also required.

Benefits

• Stock Options
• Remote Work Flexibility

Listed skills

• Recruitment · Preferred
• People leadership · Preferred
• Machine learning · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Engineering Management
• People Leadership
• Recruitment
• Career Development
• Performance Management
• Headcount Planning
• Budget Management
• Team Scaling
• Software Engineering
• Production AI Implementation
• Conversational AI
• Machine Learning
• Organizational Design
• Strategic Planning
• Cross-Functional Collaboration
• Performance Calibration

Job areas

• Technology
• Management & Leadership
• Software
• Engineering

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