We help tech startups achieve audacious goals by stacking their teams with champions. The tech founders we partner with are rare, ambitious, and bold. They are visionaries with deep-rooted conviction in what they are building - industry leading tech companies that are changing the way we live and work. Our fundamental purpose is to help these companies by placing extraordinary talent in critical roles. We refer to these talented individuals as having 'champion DNA'. They are outliers, high-performers, and masters of their craft with elite-level skill sets elevating those around them. Like the founders they join forces with, they are bold and come from diverse backgrounds. They are catalysts who drive companies forward. Although we spend the bulk of our time cultivating this network, we don't consider ourselves recruiters or headhunters. We are long-term strategic search partners helping our clients build tomorrow.

Job description

About the Company

Company Size: < 10 People

Industry: AI, Software, Franchising

Stage: Seed

Investors: Backed by $3M from top-tier investors, including Antler, 10vc, and Hustle Fund.

Mission: Building AI-driven solutions to provide instant access to knowledge and support for franchise operators by consolidating information from manuals, file systems, training videos, and more.

We’re looking for a dynamic Engineering Manager to:

Lead and mentor a team of full-stack and backend engineers in building and maintaining scalable infrastructure.

Collaborate closely with Machine Learning and Product teams to design and deliver robust, user-focused features.

Architect scalable frameworks to support the growth of hundreds of customers.

Develop and implement technical best practices while driving the team’s success through technical mentorship.

Contribute as an individual contributor on orchestration, databases, and cloud operations.

What You’ll Need

5+ years of experience as a backend engineer with broad technical knowledge.

At least 2 years in a leadership role, driving projects, managing deadlines, and mentoring teams.

Strong expertise in Python, with experience leading code reviews and promoting best practices.

Extensive experience with AWS, with a focus on scalability and security.

Deep experience working with data, data scraping, and integrating data.