{"id":141800,"url":"https://alion.io/job/oxford-nanopore-technologies-technical-product-manager","title":"Technical Product Manager","company":{"id":51518,"name":"Oxford Nanopore Technologies","domain":"nanoporetech.com","url":"https://alion.io/company/oxford-nanopore-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":93,"open_postings":19,"ghost_share":0,"stale_share":0.474,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Product","role_family":"Product","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oxford, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":169000,"period":"year","method":"role_country_seniority_unknown","sample_n":270},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-29T02:47:30Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":76},"description":"Machine Learning Product Manager\nFixed-Term Contract (Maternity Cover) | Oxford, UK\n\nRole Details\nSummary\nPosition\nMachine Learning Product Manager\nContract Type\nFull-Time, Fixed-Term Contract (Maternity Cover)\nLocation\nOxford, UK (Hybrid)\nDepartment\nProduct Management\nReporting To\nDirector, Software Product Management\nAbout Oxford Nanopore Technologies\nOxford 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.\nThe Opportunity\nWe 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).\nIn 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.\nKey Responsibilities\n 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.\nLifecycle Ownership: Lead and own AI/ML software through all stages of the product lifecycle: concept, design, development, launch, and iteration.\nRequirement Translation: Collaborate with subject matter experts in ML, software, bioinformatics, and genomic/transcriptomic applications to convert market requirements into clear product specifications.\nProduct Execution: Prioritise features and manage the product backlog effectively within agile development cycles.\nCross-Functional Collaboration: Partner with R&D, marketing, sales, and support teams to ensure smooth and successful product launches.\n Data-Driven Insights: Analyse usage data, customer feedback, and market trends to establish key performance indicators (KPIs) and drive data-informed product decisions.\nTechnical 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.\n 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.\nThe Ideal Candidate\nQualifications & Education\nBachelor's, Master’s, or PhD in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or a related discipline.\nEssential Experience & Skills\nProven experience taking AI/ML models and software products from concept through launch and iterative release.\nStrong understanding of the complete machine learning lifecycle, including data collection, model training, validation, deployment, and monitoring.\nDirect experience working closely with software engineering and machine learning research teams.\nDemonstrated track record of defining product roadmaps using customer insights and quantitative data.\nExcellent written and verbal communication skills, with the ability to translate complex technical concepts across diverse stakeholders.\nCollaborative and flexible approach to building effective relationships across multidisciplinary teams.\nDesirable Experience\nFamiliarity with DNA/RNA sequencing technologies and bioinformatics workflows.\nHands-on experience within Agile software development frameworks.\nA genuine passion for technology, innovation, and the potential of nanopore sequencing.\nPlease 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. 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