Here’s what you’ll be doing:
- Providing technical and non-technical leadership to a team of 5-8 engineers, including career development, performance evaluations, and regular one-on-one meetings.
- Collaborating with other Directors of Engineering to create new processes, implement engineering methodologies, identify best practices, define fiscal year budgets, etc.
- Acting as a cultural steward by promoting team growth and innovation, while fostering a scalable engineering organization.
- Managing technical risks across various projects, as well as non-project internal initiatives and ensuring smooth execution.
- Communicating technical decisions to stakeholders, resolving blocking issues, and keeping the engineering team operating smoothly.
- Assisting with resource planning, hiring, and project staffing.
- Working collaboratively with other delivery leaders (project management, strategy, business development, account management) to ensure successful project outcomes, ongoing team well-being, and client satisfaction.
- Consulting with our Growth team to understand prospective clients needs to accurately scope and successfully deliver solutions.
- Serving as the technical authority on client engagements, including attending meetings, managing relationships, and creating project artifacts.
- Giving direction on best practices related to software engineering, machine learning engineering and architecture design.
What we're looking for:
- You have extensive hands-on experience building and deploying production machine learning solutions.
- We believe that our clients and team are best served by “experts leading experts.” Therefore, you are an expert practitioner in the technologies the team builds. Typically we tackle a wide variety of natural language and computer vision applications (among others) using object-oriented code design, containerized deployments, cloud infrastructure, and common open source machine learning libraries. We don’t expect you to know every tool and technique imaginable, but you should be able to assist your team members when they need help.
- You’ve got some stories to tell about mentorship, management, and your hand in the growth of engineering teams that have built ML systems.
- You deeply embody servant leadership and have a demonstrated ability to form trusting relationships with those on your team.
- Culture means a lot to you. You are a steward of psychologically safe and team-first environments. You prioritize the responsible usage of AI and seek out perspectives that differ from your own.
- Ideally, you’ll have experience working in early-stage companies where you’ve seen and led engineering teams through significant growth.
- You’re an excellent communicator who is capable of conveying complex systems to technical and non-technical audiences.
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What We Do
Kung Fu AI.
[/kuhng foo/] - noun - Discipline or skill achieved through hard work and practice.
KUNGFU.AI is an AI services provider helping companies transform data into augmented capabilities that achieve ambitious goals. We help from strategy to implementation, using data and AI to see new trends, develop new ideas, and optimize operations to better serve the people who matter most.
Our difference:
Expertise. Our blended teams of senior business executives, data scientists, and IT leaders bring comprehensive capability help end-to-end -- through data modernization to AI strategies and implementations.
Focus. We believe in Practical AI where we focus on applying the simplest solutions to tackle the biggest business challenges. We identify narrow use-cases ripe for solving with available technologies to de-risk and accelerate adoption.
Values. We use AI for good. We believe in using AI to augment good people to accomplish great things. On the flip side, we turn down work that doesn't align with our values. We also use the time we're not working to delight clients for pro bono work to help make the world a better place.

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