Technical Product Manager

Oxford Nanopore Technologies; Oxford; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

Oxford Nanopore Technologies is seeking a Machine Learning Product Manager to lead AI/ML software strategy in a hybrid Oxford setting. You will partner with ML researchers, software engineers, bioinformaticians and customers to shape roadmaps that balance scientific innovation with practical delivery.

The role spans concept through launch, with an emphasis on data-driven decisions, KPI development and risk mitigation while ensuring regulatory compliance and quality standards are upheld.

Qualifications

• Proven experience taking AI/ML software from concept to launch.
• Strong understanding of the ML lifecycle: data, training, validation, deployment.
• Experience working with software engineering and ML research teams.

Responsibilities

• Define strategy and roadmap for AI/ML software across the platform.
• Lead AI/ML software lifecycle from concept through iteration and release.
• Translate market requirements into clear product specs with SMEs.
• Prioritise features and manage the product backlog in sprints.
• Collaborate with R&D, marketing, sales and support for launches.
• Analyze usage, feedback and trends to drive KPIs and decisions.
• Provide technical guidance and mitigate risks across development.
• Ensure software products meet QMS and regulatory standards.

Skills

AI/ML product lifecycle

Cross-functional collaboration

Agile software development

Data-driven decision making

Stakeholder communication

R&D collaboration

Education

Bachelor's/Master’s/PhD in CS or related fields

Tools

Basecalling tools

Job description

Machine Learning Product Manager

Role Details

Summary

Job Description

Machine Learning Product Manager

Fixed-Term Contract (Maternity Cover) | Oxford, UK

Role Details

Summary

Position

Machine Learning Product Manager

Contract Type

Full-Time, Fixed-Term Contract (Maternity Cover)

Location

Oxford, UK (Hybrid)

Department

Product Management

Reporting To

Director, Software Product Management

About Oxford Nanopore Technologies

Oxford Nanopore has developed a new generation of nanopore-based sensing technology for faster, information-rich, accessible and affordable molecular analysis. The technology is used to understand and characterise the biology of humans, animals, plants, bacteria, viruses, and diseases such as cancer. By enabling biological insights, we strive to improve life on Earth and beyond.

The Opportunity

We are seeking a highly motivated and detail-oriented Machine Learning Product Manager to join our Product Management team on a Fixed-Term Contract (Maternity Cover).

In this role, you will collaborate with both technical and commercial stakeholders to define the strategy and product roadmap for AI/ML capabilities across Oxford Nanopore's software ecosystem. Working closely with ML researchers, software engineers, bioinformaticians, support teams, marketing, and customers, you will bridge scientific innovation and scalable product delivery—balancing customer needs, commercial priorities, and cutting-edge machine learning technology.

Key Responsibilities

• Product Strategy & Roadmap: Manage and communicate the product vision, strategy, and roadmap for AI/ML-powered software (including basecalling and bioinformatics tools) based on customer needs, scientific evidence, and business goals.
• Lifecycle Ownership: Lead and own AI/ML software through all stages of the product lifecycle: concept, design, development, launch, and iteration.
• Requirement Translation: Collaborate with subject matter experts in ML, software, bioinformatics, and genomic/transcriptomic applications to convert market requirements into clear product specifications.
• Product Execution: Prioritise features and manage the product backlog effectively within agile development cycles.
• Cross-Functional Collaboration: Partner with R&D, marketing, sales, and support teams to ensure smooth and successful product launches.
• Data-Driven Insights: Analyse usage data, customer feedback, and market trends to establish key performance indicators (KPIs) and drive data-informed product decisions.
• Technical Guidance & Risk Mitigation: Serve as a product advisor to ensure alignment on technical capabilities between R&D and commercial teams, while identifying and mitigating technical risks throughout development.
• Quality & Compliance: Ensure all software products are developed in compliance with applicable Quality Management Systems (QMS) and regulatory standards, supporting the generation and maintenance of key documentation.

The Ideal Candidate

Qualifications & Education

• Bachelor's, Master’s, or PhD in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or a related discipline.

Essential Experience & Skills

• Proven experience taking AI/ML models and software products from concept through launch and iterative release.
• Strong understanding of the complete machine learning lifecycle, including data collection, model training, validation, deployment, and monitoring.
• Direct experience working closely with software engineering and machine learning research teams.
• Demonstrated track record of defining product roadmaps using customer insights and quantitative data.
• Excellent written and verbal communication skills, with the ability to translate complex technical concepts across diverse stakeholders.
• Collaborative and flexible approach to building effective relationships across multidisciplinary teams.

Desirable Experience

• Familiarity with DNA/RNA sequencing technologies and bioinformatics workflows.
• Hands-on experience within Agile software development frameworks.
• A genuine passion for technology, innovation, and the potential of nanopore sequencing.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.

About Us

Oxford Nanopore Technologies: Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere. The company has developed a new generation of nanopore-based sensing technology for faster, information rich, accessible and affordable molecular analysis. The first application is DNA/RNA sequencing, and the technology is in development for the analysis of other types of molecules including proteins. The technology is used to understand and characterise the biology of humans and diseases such as cancer, plants, animals, bacteria, viruses, and whole environments. With a thriving culture of ambition and strong innovation goals, Oxford Nanopore is a UK headquartered company with global operations and customers in more than 125 countries.