Technology

Engineering Manager

Based on 38 assessments

15% Low risk

Average realistic automation risk across all Engineering Manager profiles in the dataset.

Raw potential
27%
Realistic risk
15%
Research benchmark ?
39%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 38 profiles. Middle half of Engineering Managers score between 11% and 19%.

0% 50% 100%
p10 · 7%
22% · p90
On-screen work 21%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 0%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 79%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Engineering Manager, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Leading and participating in technical design reviews to evaluate proposed solutions, identify risks, and ensure alignment with project goals
deep expertise
45% AA 1%
Recruiting, interviewing, and onboarding new engineering team members, including defining role requirements and assessing cultural fit
deep expertise
17% AA 3%
Conducting 1:1 meetings with direct reports to provide mentorship, career guidance, and feedback on performance
deep expertise
13% AA 4%
Coordinating cross-functional teams (e.g., software, hardware, QA) to ensure smooth collaboration, resolve dependencies, and keep projects on schedule
deep expertise
12% AA 5%
Representing the engineering team in meetings with other departments (e.g., product, sales, or executive leadership) to align on goals, timelines, and resource needs
deep expertise
7% AA 9%
Reviewing and approving technical documentation, such as architecture diagrams, system requirements, and test plans
2% DD 88%
Monitoring project progress using tools like Jira or Asana, identifying blockers, and adjusting priorities or resources as needed
2% DD 49%

Work as a Engineering Manager? Map your specific role.

Start assessment →