Engineering Manager

4MindsAI Inc.•Dallas, TX

11h•$180,000 - $220,000•Onsite

About The Position

As an Engineering Manager at 4MINDSAI, you will lead the engineering team responsible for building and operating one of the most technically ambitious AI platforms in the enterprise market. You will own the people, processes, and delivery systems that keep a fast-moving team aligned, productive, and shipping with confidence across a multi-cloud and on-premises architecture that most engineering organizations have never encountered. This is 50%/50% of your time spent on hands-on technical contribution help drive where AI is going. The other 50% is spent building the operational maturity that a team at this stage needs: sprint discipline, release communication, incident response, and the engineering culture that sustains high performance as the team grows. You will inherit a talented team with strong technical instincts and maturing processes, and your job is to accelerate that maturity without slowing down the pace of innovation. Reporting directly to the CTO, you will partner closely with product leadership to balance feature delivery against technical excellence, and serve as the connective tissue between what engineering builds and what the rest of the business needs to know. You will have purview into sprint planning and backlog prioritization, and will own how engineering communicates its work, its releases, and its incidents to the broader organization. If you have built process discipline inside genuinely novel technical environments, led teams through the operational growing pains that come with being at the frontier, and know how to raise the bar without losing the culture that got a team this far, this role is built for you.

Requirements

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
Ability to contribute hands-on technical work while maintaining primary focus on people and delivery leadership
Experience partnering with product leadership to align engineering priorities with business outcomes
Demonstrated ability to use AI tools to accelerate development workflows, with strong judgment about when and how to apply them effectively
Ability to communicate technical concepts, release status, and incident updates clearly to both technical and non-technical audiences
Deep ownership mindset: you hold yourself and your team accountable to outcomes, not just activity

Nice To Haves

Master's degree in Computer Science, Engineering, or related technical field
15+ years of software engineering experience, including 5+ years in engineering management
Experience managing engineering teams building AI/ML platforms, data infrastructure, or similarly novel technical architectures
Familiarity with knowledge graphs, RAG systems, LLM fine-tuning workflows, or real-time data pipelines
Experience managing teams operating across multi-cloud environments including AWS, GCP, Azure, and on-premises deployments
Background establishing engineering culture and process discipline in early stage or high-growth startups
Experience owning or contributing to product roadmap decisions alongside a CPO or product leadership team
Track record of recruiting and developing senior engineering talent
A history of thoughtfully integrating AI tools into engineering workflows to ship faster without compromising quality

Responsibilities

Lead and manage a team of software engineers, owning their performance, growth, and day-to-day productivity 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