Senior Engineering Manager, Engineering Practice

Engineering11; Dallas (TX); Vor Ort; USD 150.000 - 190.000; Vollzeit

Zusammenfassung

Engineering11 is seeking a Senior Engineering Manager, Engineering Practice to scale how we operate engineering across customer and product domains. You will directly manage engineers across customer and product pods, including offshore partner engineers, contractors, and internal staff, with a focus on staffing, capacity planning, and a repeatable engineering management practice.

You will help define the AI Development Life Cycle (AIDLC) and ensure engineering practices adapt to AI-enabled

Qualifikationen

• Experience leading multiple software engineering teams and pods.
• Strong background in staffing, capacity planning, and workload management.
• Ability to coach engineers, evaluate performance, and drive accountability across a fast-moving org.
• Experience with offshore/nearshore or external development partners.

Aufgaben

• Directly manage engineers across customer and product pods, including offshore partners.
• Set expectations for performance and provide coaching and feedback.
• Own performance management, career development, onboarding, and ongoing engineer development.
• Help build an engineering culture with high accountability and strong technical standards.
• Oversee pod operations, staffing, and capacity planning across multiple initiatives.
• Own day-to-day relationship with offshore partner, including staffing and performance.
• Develop and improve the Engineering11 engineering management practice, metrics, and visibility.

Kenntnisse

Engineering Management

Software Engineering

People Management

Capacity Planning

Team Leadership

Performance Management

Vendor Management

Distributed Teams

Technical Leadership

AI-Assisted Software Development

Jobbeschreibung

Engineering11 is building a new way for software teams to build and operate software at AI speed and volume. Our products — Full Stack Foundation, Foundry, and Alloy — combine a production-ready software foundation, AI agents and workflows, and a continuously maintained engineering knowledge corpus. We use these products ourselves to build custom software for customers, while also making them available to other engineering teams.

We are looking for a Senior Engineering Manager, Engineering Practice to help us scale how engineering works across the company.

This is not a traditional engineering manager role built around managing one team of eight or nine engineers. You will operate across our customer software and product engineering organizations, with your primary day-to-day focus on Custom Software Development. You will directly manage engineers working in customer and product pods, including engineers from our offshore development partner, other contractors, and future Engineering11 hires.

You will own much of the operating system behind our engineering organization: how pods are staffed, how engineering capacity is allocated, how commitments are understood, how engineers are developed and evaluated, and how our external engineering partners operate as an extension of Engineering11.

You will work closely with our Principal Engineers, product leadership, delivery leadership, UX, Quality Engineering, and Platform Ops. Our Principals own technical direction in their areas; this role owns the engineering practice and helps make sure the people, pods, capacity, and management systems around that work are strong.

You will also play a key role in defining Engineering11's AI Development Life Cycle (AIDLC) — how AI changes the traditional software development life cycle from planning and architecture through implementation, testing, review, deployment, and ongoing maintenance. This role will help turn emerging AI-enabled engineering practices into a repeatable operating model for our teams.

Engineering11 is also customer zero for its own products. This role will make sure our engineers use our products on every release, build real expertise with them, and feed what they learn back into the products.

This is a highly visible role with an opportunity to help shape how a modern engineering organization operates as AI fundamentally changes software development.

Qualifications

• Significant software engineering experience, including a strong technical foundation before moving into engineering management.
• Several years of engineering leadership experience with direct responsibility for software engineers.
• Experience managing multiple teams, pods, or concurrent engineering workstreams.
• Experience managing distributed, offshore, nearshore, contractor, or external development teams.
• Strong understanding of engineering capacity planning, staffing, commitments, and workload management.
• Demonstrated ability to evaluate engineer performance, provide direct feedback, coach engineers, and address performance issues.
• Experience hiring, onboarding, developing, and retaining software engineers.
• Strong enough technically to understand the work, participate credibly in engineering discussions, and recognize technical or organizational problems without needing to be the architect for every solution.
• Ability to operate effectively in a small, fast-moving organization where leaders are expected to be hands‑on and own problems end to end.
• Strong communication, organization, judgment, and follow‑through.

Especially valuable experience:

• Experience spanning both product engineering and customer-facing or custom software development.
• Experience building or improving an engineering management practice rather than simply inheriting an established one.
• Experience working closely with senior technical leaders such as Staff or Principal Engineers.
• Experience managing a strategic offshore development partner, including staffing, performance, escalation, and capacity planning.
• Experience experimenting with or implementing AI-assisted software development workflows, coding agents, or AI-enabled engineering practices.
• Interest in helping define how the traditional SDLC evolves into an AI-enabled development life cycle.

Responsibilities

Engineering people leadership

• Directly manage engineers assigned across customer and product pods, including offshore partner engineers, contractors, and Engineering11 employees.
• Set clear expectations for engineering performance and provide regular coaching and feedback.
• Own performance management, career development, onboarding, and ongoing engineer development.
• Help build an engineering culture with high accountability, strong technical standards, and low unnecessary process.

Pod operations and capacity

• Act as the operational owner of the engineering pod model across Engineering11.
• Understand the commitments, capacity, skills, and workload of each pod.
• Work with engineering, product, and delivery leaders to form pods and put the right engineers against the right work.
• Manage the natural ebbs and flows of customer and product work, including moving or adding engineering capacity as priorities change.
• Identify upcoming capacity constraints, skill gaps, and staffing needs before they become delivery problems.
• Maintain visibility into engineering capacity across Custom Software Development, Full Stack Foundation, Alloy, Foundry, and other product initiatives.

Offshore partner management

• Own the day-to-day engineering relationship with our offshore development partner.
• Work with the partner on staffing requests, engineer selection, onboarding, performance, replacements, escalations, and capacity planning.
• Know the individual engineers working with Engineering11 and continually improve the strength and composition of the team.
• Ensure partner engineers operate as an extension of Engineering11 rather than as a disconnected external development team.

Engineering practice

• Develop and continuously improve the Engineering11 engineering management practice.
• Establish useful engineering metrics and visibility into team and individual performance without creating unnecessary ceremony.
• Create consistent approaches to hiring, onboarding, expectations, feedback, career development, and performance management.
• Partner with Principal Engineers to improve engineering effectiveness while preserving clear technical ownership within each practice area.
• Help define and operationalize Engineering11's AI Development Life Cycle (AIDLC), including how AI changes planning, architecture, implementation, code review, testing, QA, deployment, documentation, and maintenance.
• Identify where AI can improve engineering throughput and quality, and where human review, technical judgment, and controls remain essential.
• Work with Principal Engineers and product leadership to turn successful AI-assisted development patterns into repeatable practices across customer and product pods.
• Establish practical ways to measure the impact of AI on engineering productivity, quality, cycle time, and team capacity.

Customer zero and tool adoption

• Ensure engineers across all areas use Engineering11's own products (Full Stack Foundation, Foundry, and Alloy) as customer zero for every release.
• Drive deep expertise with our tools across the engineering organization and set the expectation that engineers work the way our products are designed to be used.
• Collect and deliver structured feedback from engineers to product leadership so real usage shapes the roadmap.
• Drive rollouts of new releases to the engineering organization, including release communication, adoption, and follow-through.
• Own training and onboarding on our tools and engineering practices for all engineers, including offshore partner engineers and contractors.

Custom Software Development

• Spend a significant portion of your time supporting the engineering organization building custom software for Engineering11 customers.
• Work closely with Customer Engineering and delivery leadership to ensure customer teams have the capacity, skills, and support required to meet commitments.
• Help scale Customer Engineering as Engineering11 adds additional customers and concurrent software projects.

Required Skills

• Engineering Management
• Software Engineering
• People Management
• Capacity Planning
• Team Leadership
• Performance Management
• Vendor Management
• Distributed Teams
• Technical Leadership

Desired Skills

• AI-Assisted Software Development

Benefits:

About us

Engineering11

Engineering11 delivers a Software / AI Platform Stack designed for the AI era. Our team specializes in AI-native software, not retrofitted solutions. From infrastructure to installable microservices, we give product teams a real foundation: production-ready, performance-optimized, and built to accelerate.

We work with startups and scaleups who want more than just code — they want a technology partner. Whether we're embeded alongside your internal team or running full product delivery, we bring developer-first design patterns, clean architecture, and consistent momentum to every project.

We don't just help teams keep up with AI. We help them lead with it.

Legal

Engineering11

Engineering Eleven is dedicated to fostering a supportive and inclusive work environment where diversity is celebrated and everyone has the opportunity to thrive.

We encourage applications from all qualified individuals and are dedicated to providing a workplace that is free from discrimination and harassment. Our commitment to equal employment opportunity ensures that employment decisions are based on merit, qualifications, and business needs.

At Engineering Eleven, we celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that a diverse workforce enhances our creativity, innovation, and growth, and we strive to ensure that everyone feels valued, respected, and empowered to bring their whole selves to work.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Engineering Eleven is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.