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Buzz Solutions

Director of Engineering

Reposted 6 Days Ago
Remote
Hiring Remotely in USA
12-12 Annually
Expert/Leader
Remote
Hiring Remotely in USA
12-12 Annually
Expert/Leader
The Director of Engineering will lead and scale Buzz Solutions' engineering organization, focusing on AI, infrastructure, and platform systems while ensuring best practices and high-quality solutions.
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About Us

Buzz Solutions is a fast-growing startup focused on applying AI and computer vision to solve real-world challenges in the energy and utility space. Our platform helps utilities improve reliability, safety, and operational efficiency through advanced machine learning and scalable software systems.

Job Description 

We are seeking an experienced Director of Engineering to lead and scale our engineering organization across AI, infrastructure, and platform systems. This is a high-impact leadership role that blends deep technical ownership including architecture, AI systems, and cloud infrastructure with strong people leadership across a multi-team organization. This individual will also close strategically and collaboratively with Product, Solutions, and executive leadership. In this role, you will directly manage team leads across three core pillars: Computer Vision and AI, MLOps and systems infrastructure, and platform engineering.

Responsibilities

  • Define and drive the technical vision and architecture for our product PowerAI
  • Lead design and scaling of distributed systems and backend services, AI/ML pipelines and computer vision systems
  • Establish best practices across all engineering teams and projects
  • Lead & mentor team leads and senior engineers
  • Build a high performing engineering culture
  • Provide coaching, feedback and career development
  • Partner with other departments to define roadmaps and priorities
  • Ensure high-quality, on-time solutions to our customers
  • Work closely with leadership in discussions revolving around strategy an company direction

Qualifications & Experience

  • 12+ years in software engineering (SaaS, infrastructure, and AI systems)
  • 6+ years leading engineering teams in a hands-ons capacity
  • Background in AI-driven SaaS platforms
  • Experience scaling engineering at high-growth startups
  • Proven experience managing multi-team orgs
  • AI / ML systems experience is a must, preferably within computer vision projects
  • Strong understanding of distributed systems, backend architecture, MLOps pipelines, and Full Stack Systems 

Plus if you have:

  • Experience energy or industrial systems
  • Experience with drone, imagery, or geospatial systems

* Buzz Solutions does not provide Visa sponsorship for work authorizations in the United States at this time *

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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