Engineering Manager

Mission.dev; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Mission.dev seeks an Engineering Manager to lead and scale a squad of 8–15 engineers, collaborating with peers to drive departmental strategy. This people-centric role emphasizes development, performance, and headcount planning rather than hands-on coding.

You will cultivate high performance, ensure predictable delivery, and translate AI experimentation into scalable production outcomes while partnering with product and design to meet business goals.

Qualifications

• 10+ years of software engineering experience.
• 5+ years in engineering management.
• Experience managing teams of 8+ engineers and focusing on people leadership.
• Experience scaling engineering teams in high-growth environments.
• Hands-on AI tools/models deployment in production.
• Willingness to travel roughly every six weeks and US/Canada work authorization.

Responsibilities

• 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.

Skills

People leadership

Team health

Software engineering

AI/ML production experience

Cross-functional collaboration

Job 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.