Technical Product Manager/Lead Software and Data Engineer
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Cineon pioneers immersive technology and eye-tracking solutions to enhance training, productivity, and therapeutic applications. Since 2017, we have crafted evidence-based XR experiences that empower individuals and organisations to excel. Our Empathic Learning Engine (ELE) uses neural networks to interpret human movement data, delivering real-time insights into emotion, competency, and performance. This innovation drives highly personalised learning and performance solutions across high-risk, high-performance sectors.
The Role
We are developing an exciting new product with significant scope for application across a wide range of sectors. The product is an API-based software system that processes, analyses, visualises and adapts to human emotion via eye tracking and other human sensor data in real-time, primarily in the XR/immersive technology space. We are looking for someone with technical product management experience to understand our business goals and take us from alpha stage to launch and beyond.
Responsibilities
* Define and execute a detailed technical roadmap for FY 25/26 in alignment with business goals to take the product from its current state (alpha/beta stage) to client release.
* Drive the design, development, and deployment of the API, focusing on scalability, security/reliability, and end-user value.
* Ensure efficient version and release management across multiple clients in different industries with different technical and data security limitations.
* Oversee the implementation of data (Machine Learning) & communication pipelines optimized for high-frequency, real-time eye-tracking data processing.
* Define and execute processes for continuous integration and delivery/development (CI/CD).
* Be the technical lead for a small team of software developers, data scientists, and research scientists.
Requirements
* Background in Software Engineering and Data Science/Data Engineering.
* Proven experience leading software systems from alpha to launch.
* Deployment and management of ML-driven, scalable and secure APIs that receive high-frequency time-series data (millisecond scale).
* Familiarity with machine learning techniques in Python.
* Experience with eye tracking data would be highly advantageous, although experience with other human sensor data will be considered.
* Strong technical understanding of API and/or SaaS architecture, including use of WebSockets.
* Experience with key Data Engineering principles and architecture such as ETL pipelines.
* Able to define and implement DevOps/MLOps practices, including testing frameworks.
* Strong technical communication skills, with the ability to align technical teams and stakeholders.
* Experience with Python, C#, and Unity is a plus.
Other experience considered
* Edge computing for low-latency processing in distributed systems (IoT, XR).
* Software-as-a-Service (SaaS) deployment.
Terms, Benefits & Working Arrangements
* Working Model: Hybrid working (a blend of remote and in-office work).
* Annual Leave: 33 days (including public holidays).
* Pension: Included as part of the benefits package.
* Salary: Competitive, based on experience.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Product Management and Marketing
* Industries: Technology, Information and Internet
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