Sr. Manager, Full-Stack AI Engineering

Career Growth

Career Growth: Advance your career with opportunities for leadership and personal development.

Culture of Excellence

Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.

Competitive Benefits

Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards

• Compensation based on skill set, experience, qualifications, and job-related requirements.
• A comprehensive benefits package including medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave.

A Day In The Life

• Team Leadership & People Management: Directly manage a team of Full-Stack AI Engineers across multiple concurrent project pods.
• Hands-On Engineering: Actively contribute as a Full-Stack AI Engineer on project work alongside the team.
• Engineering Standards & Quality: Define and enforce engineering standards across the team.
• Technical Guidance & Architecture: Provide hands-on technical guidance to engineers on solution design, full-stack architecture, AI and LLM integration patterns, and Databricks platform usage.
• Hiring & Talent Development: Partner with the Director of Data Science and HR to define hiring needs, assess candidates, and define learning paths for each team member to grow the team.
• Stakeholder Partnership: Work closely with product owners, data engineers, AI scientists, and the Director of Data Science to align on engineering priorities and delivery.
• Process & Operational Excellence: Establish and continuously improve the team's engineering processes.

What We Need From You

• Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• Req10+ years Software engineering experience with a strong full-stack background.
• Required5+ years of experience leading or managing software engineering teams.
• Demonstrated ability to hire, develop, and retain engineering talent.
• Experience setting and enforcing engineering standards across a team (code review, testing, documentation, security).
• Experience delivering AI or data-intensive applications in a production environment.
• Hands-on experience engineering a development workflow using AI coding tools (Claude Code, Codex, Augment Code, or equivalent).
• Experience with full-stack web development (frontend frameworks such as React or Angular; Python-based backends such as FastAPI, Django, or Flask).
• Experience managing delivery across multiple concurrent projects or workstreams.
• Experience with CI/CD, cloud-native deployments, or infrastructure-as-code (AWS preferred).
• Experience integrating LLMs, RAG pipelines, or agentic AI frameworks into production applications.
• PREFERRED: Experience with Databricks or Lakehouse architectures.
• PREFERRED: Experience working in agile/scrum delivery models with cross-functional teams including data scientists and product owners.
• Technical credibility: depth sufficient to assess code quality, architectural decisions, and engineering complexity without being a bottleneck.
• People leadership: ability to coach, develop, and hold engineers accountable in a way that builds trust and improves performance over time.
• Delivery ownership: takes accountability for team output, proactively manages risks, and communicates status clearly to stakeholders.
• AI tooling judgment: understands both the capabilities and limitations of AI coding tools and can set meaningful standards for their use.
• Strong cross-functional collaboration: comfortable working alongside product owners, data engineers, AI scientists, and business stakeholders.
• Ability to operate in a fast-moving environment where priorities shift and the tooling landscape evolves rapidly.
• Clear and direct communicator: able to translate technical constraints into language that non-technical stakeholders can act on.
• Process pragmatism: improves team processes where it matters, avoids overhead where it doesn't.

Physical and Environmental Requirements

• Analyze and interpret data.
• Communicate.
• Remain in a stationary position for a significant amount of the work day.
• Frequently access, input, and retrieve information from the computer and other office productivity devices.
• Movement about the office and around the corporate campus.
• Move up to 10 pounds and occasionally move up to 25 pounds.

Travel Requirements

• 20%-30%: The position is open to in-office and remote work in Houston or Austin. If remote (>50 miles from office) it is expected that the associate will be in office at least 4 days a month. This may vary based upon project meetings and events.

Join Us

• The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities.
• We celebrate diversity and are committed to creating an inclusive environment for all associates.
• We are seeking candidates legally authorized to work in the United States, without Sponsorship.