AI Platform Engineering Manager — Hands-on Leader

4Minds; Dallas (TX); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Medical benefits

401(k) with company match

Unlimited PTO

11 paid holidays

Job summary

4MINDS is building an enterprise AI platform; as Engineering Manager you will lead the team responsible for delivering and operating a technically ambitious platform across multi‑cloud and on‑prem environments. You will own people, processes, and delivery, balancing feature delivery with technical excellence across a fast‑moving organization.

This role is split 50% hands‑on coding and 50% building operational maturity—sprint discipline, release communication, incident response, and culture.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• 10+ years of software engineering experience, including 3+ years in an engineering management or technical lead role.
• Proven track record of building and maturing engineering processes in fast‑moving, high‑growth environments where the operational playbook did not yet exist.
• Experience leading teams through sprint planning, backlog management, and iterative delivery using Agile or similar methodologies.
• Demonstrated ability to establish and enforce release management, code review, and documentation standards across an engineering team.
• Experience building and owning incident response processes, including cross‑functional communication to non‑engineering stakeholders during outages or degraded service.
• Strong understanding of distributed systems, cloud infrastructure, and multi‑cloud or hybrid deployment architectures.

Responsibilities

• Lead and manage a software engineering team across sprint cycles and delivery milestones.
• Drive sprint planning, backlog grooming, sprint reviews, and retrospectives with rigor and consistency.
• Own the release communication process, ensuring the broader organization is informed of what has been built, shipped, and changed with every release cycle.
• Establish and mature incident response protocols, including clear internal communication to sales, customer success, and leadership when platform availability is impacted.
• Partner with the CTO to ruthlessly prioritize engineering work based on business impact, technical debt, and resource constraints.
• Collaborate with product leadership to balance feature delivery with technical excellence and long‑term maintainability.
• Own production deployment oversight, ensuring releases meet quality, documentation, and rollback standards before reaching production.
• Build and enforce code review standards that prioritize quality, security, and architectural consistency across the team.
• Remove blockers and facilitate team productivity through daily standups, 1:1s, and cross‑team coordination.
• Establish documentation standards for architecture decisions, design rationale, and release notes across the engineering org.
• Track team velocity, sprint health, and delivery metrics, using data to drive continuous process improvement.
• Recruit, onboard, and develop engineering talent as the team scales.
• Serve as the escalation point for engineering incidents, coordinating response and ensuring timely, accurate communication to all affected stakeholders.
• Contribute hands‑on technical work approximately 50% of the time, maintaining credibility with the team and staying close to the codebase.

Skills

Leadership

Agile methods

Sprint planning

Incident response

Multi-cloud

Hands-on coding

Stakeholder comms

AI tooling

Education

Bachelor's degree

Master's degree

Tools

AWS

GCP

Azure

On-prem deployments

Job description

4MINDS is building an enterprise AI platform; as Engineering Manager you will lead the team responsible for delivering and operating a technically ambitious platform across multi‑cloud and on‑prem environments. You will own people, processes, and delivery, balancing feature delivery with technical excellence across a fast‑moving organization.

This role is split 50% hands‑on coding and 50% building operational maturity—sprint discipline, release communication, incident response, and culture.