Director of Engineering, AI – Computer Vision

PlayOn! Sports

Director of Engineering leading AI capabilities for PlayOn Sports in high school streaming. Responsible for team management, technical direction, and cross-functional collaboration.

Posted 5/11/2026full-timeAlpharetta • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSCloudKafkaPython

About the role

Key responsibilities & impact

Lead and grow a team of senior and staff engineers working on computer vision, AI-powered fan experiences, human-in-the-loop systems, and data infrastructure. Set expectations, remove blockers, and create a culture of ownership and shipping.
Own the technical direction for PlayOn’s streaming intelligence program. Make architecture decisions, set engineering standards, and ensure the team is building systems that scale to 250K+ concurrent live streams.
Partner with the Principal Product Manager to translate product strategy into engineering execution. Co-own the roadmap, drive sprint and quarterly planning, and jointly manage scope, sequencing, and tradeoffs.
Drive AI adoption and enablement across PlayOn’s broader engineering organization. Identify opportunities to apply AI in search, recommendations, content generation, internal tooling, and other product areas.
Manage external vendor and academic partner relationships on the engineering side. Evaluate capabilities, run technical assessments, negotiate integration approaches, and hold partners to their commitments.
Represent engineering in cross-functional leadership forums. Communicate program status, risks, and resource needs to the CTO and broader leadership team with clarity and appropriate context.
Recruit and retain top engineering talent. Build a hiring pipeline, run a rigorous interview process, and create a team environment where strong engineers want to stay and grow.
Establish and maintain engineering processes that match the team’s maturity: design reviews, RFC processes, on-call rotations, incident management, and production readiness standards.

Requirements

What you’ll need

8+ years of software engineering experience with at least 3 years in engineering management, leading teams of senior and staff-level engineers.
Experience shipping AI/ML-powered products in production. You understand the full lifecycle: model integration, evaluation, deployment, monitoring, and the human workflows that surround them.
A track record of building and retaining high-performing engineering teams. You’ve hired senior talent, managed performance, and created team cultures that attract strong engineers.
Strong technical foundation in Python, cloud-native architectures (AWS), and modern data infrastructure (Snowflake, Kafka, or similar). You’re not writing code daily in this role, but you can go deep when it matters and your team respects your technical judgment.
Experience partnering closely with product management to co-own a product line. You know how to run the planning, execution, and delivery cadence for a complex, multi-workstream program.
Comfort with ambiguity and early-stage programs. You’ve built structure and momentum where none existed before, and you know how to make progress without waiting for everything to be defined.
Strong communication skills. You can represent engineering to the CTO and executive team, translate technical complexity for business stakeholders, and create transparency around status, risks, and tradeoffs.
Bonus: experience with computer vision or video processing at scale, sports domain knowledge, vendor/partner management, or a background in media and streaming.

Benefits

Comp & perks

Multiple medical insurance plans to choose from
Dental, vision life and disability insurance
Employee Emergency Fund
Company equity (stock options)
Open PTO policy
401K plan with company match
Hybrid/flexible work environment

ATS Keywords

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Hard Skills & Tools

software engineeringAI/ML product lifecyclemodel integrationdeploymentmonitoringPythoncloud-native architecturesdata infrastructureSnowflakeKafka

Soft Skills

leadershipteam buildingcommunicationproblem-solvingstrategic planningperformance managementadaptabilitycollaborationtranslating technical complexitycreating transparency