Jobs at Veo Technologies

Designs and develops electronics for next-generation sports cameras, including power management, high-speed circuits, schematics, PCBAs, and modern interfaces. Responsibilities include prototyping, board bring-up, testing for EMC, RF, safety, thermal performance, and signal integrity, designing for manufacturability, collaborating with firmware and mechanical engineers, and supporting production ramp-up. The role also provides technical leadership across the electronics product development lifecycle.

Build and maintain full-stack applications for Veo’s sports video and analytics platform. Responsibilities include developing React and TypeScript interfaces, backend services and APIs with Python, Django, PostgreSQL, and Node.js, and contributing throughout the product lifecycle. The role involves architecture, data modeling, deployment, monitoring, testing, CI/CD, performance, reliability, and collaboration with product, design, AI, and platform teams.

Build and maintain full-stack applications for Veo’s sports coaching and analysis platform. Responsibilities include developing React interfaces, backend services and APIs, scalable systems, data models, and video-driven features. The role spans the full product lifecycle, including architecture, deployment, monitoring, testing, CI/CD, performance, reliability, and collaboration with engineering, product, design, AI, and platform teams.

Develop and maintain scalable Android features using Kotlin, Jetpack Compose, and modern architecture patterns. Collaborate with product, design, backend, and engineering teams to deliver high-quality mobile experiences. Build, test, and release application updates; improve performance, testing strategies, CI/CD pipelines, and development workflows. Provide architectural guidance, conduct code reviews, mentor engineers, and help shape technical requirements and solutions.

Lead end-to-end design for complex, cross-team web initiatives, from problem framing and research through prototyping, visual design, validation, and implementation. Partner with product, engineering, and stakeholders to align customer needs, business goals, data, and technical constraints. Improve shared web patterns and customer journeys, use AI throughout the design process, evolve design systems, and support other designers through frameworks and constructive feedback.

Develop and deploy advanced machine learning systems for AI-powered sports video analysis. Responsibilities include training models, building efficient cloud and edge inference pipelines, supervising data annotation, improving evaluation methods, planning technical work, and mentoring colleagues. The role requires ownership of complex projects from concept through deployment, strong software engineering skills, sound technical judgment, and collaboration across research, product, and engineering teams.

Own Veo’s hardware capture portfolio from product strategy through launch. Define customer problems, product value, pricing, positioning, margins, and subscription impact before development begins. Partner with hardware engineering across optics, thermal design, battery, and cost decisions, while coordinating the hardware, AI, and app experience. Establish success metrics including activation, reliability, usage, and retention, and make portfolio decisions based on customer and commercial value.

Develop and maintain Veo’s Android application using Kotlin and modern Android technologies. Design scalable, modular features, collaborate with product, design, backend, and engineering teams, and contribute to architecture decisions. Build, test, and release application updates while improving performance, code quality, CI/CD pipelines, testing strategies, and development workflows.

Own Veo’s go-to-market strategy and partnerships across Australia and New Zealand. Manage relationships with football and rugby leagues, federations, associations, and governing bodies; negotiate new deals and renewals; lead partner activations, events, campaigns, and sales enablement; and achieve ARR and revenue targets. The role also owns regional budget allocation, pipeline reporting, market intelligence, and travel to tournaments and partner sites. Strong regional sports networks, partnership experience, autonomy, and practical AI-tool usage are required.

Register your details in our candidate database for future opportunities at Veo, which specializes in AI-based sports camera technology.

As a Machine Learning Engineer, you will train models, write inference pipelines, define data annotation tasks, and contribute to long-term planning.

Lead platform security, identity, and network enablement: design paved-road tooling for image scanning, SBOMs, CVE response, CI/CD workload identity (OIDC), unified multi-cloud VPN/networking, audit logging, and GRC evidence pipelines; run penetration-test contracting and hand off capabilities with runbooks, owners, and escalations while mentoring engineers.

Join the Security Enablement Team to design and deliver infrastructure and cloud security paved roads: office and datacenter network design, cross-site VPNs, workforce identity (SSO/MFA/joiner-mover-leaver), automated cloud drift checks, and tooling to enable teams to operate securely. Partner with Platform, IT, GRC, and product teams, respond to pen test findings, build evidence pipelines, and hand off runbooks to long-term owners.

Veo offers an open call for unpaid internships for students. Interns will gain hands-on experience in various fields while contributing to the team. Candidates must be enrolled in educational programs that require internships and provide documentation confirming this requirement.

Join Veo as a Senior Platform Engineer focusing on evolving KickOff, managing Kubernetes clusters, and enhancing cloud infrastructure for better developer experience.

As a Senior Software Engineer at Veo, you'll develop Rust and Python applications for an embedded Linux camera platform, focusing on firmware architecture, cloud integrations, and system reliability.