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У роли понятная зона ответственности, тесная работа с инженерными и ML-командами и реальное влияние на продукт, но обязательные поездки в Кембридж ограничивают выбор локации.
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Текст:
Hirify AI/Оригинал
TL;DR
Product Manager (AI): Shaping product strategy and day-to-day delivery for AI and machine learning software that helps engineering teams make better design and performance decisions with an accent on customer discovery, requirements, roadmaps, and backlog prioritisation. Focus on translating customer problems into actionable technical requirements, writing tickets in Jira, and making informed product decisions with engineering and ML specialists.
Location: Hybrid, with at least 1 day per week in Cambridge, United Kingdom; travel to Cambridge can be expensed.
Salary: £60,000–£70,000 per year, plus benefits.
Company
Technology company developing advanced AI and machine learning software that helps engineering teams make better design and performance decisions.
What you will do
Shape product strategy and manage day-to-day product delivery.
Work with Software Engineering, Machine Learning, UX, commercial teams, and customers.
Translate customer needs and product strategy into clear requirements for technical teams.
Own the product backlog, roadmap, and prioritisation process.
Write requirements and tickets, work in Jira, and support product discovery.
Provide clarity on priorities, requirements, and product direction to technical teams.
Requirements
Hands-on Product Management or Product Ownership experience across discovery, requirements, prioritisation, and delivery.
Experience in a technical B2B software environment and a strong record of working closely with engineering teams.
Experience managing product roadmaps and backlogs with tools such as Jira.
Technical fluency to engage confidently with Software Engineers and ML/Data teams.
Strong customer and user focus, with the ability to turn customer problems into product requirements.
Excellent communication and stakeholder management skills.
Ability to learn new technical domains quickly and willingness to work closely with product and delivery details.
Experience in a scale-up, start-up, or fast-moving environment.
Nice to have
Experience with machine learning, data science, optimisation, or engineering software.
Experience working in a small- to medium-sized company.
Culture & Benefits
Permanent position with stock options and private healthcare.
Collaborative work across product, engineering, machine learning, UX, commercial, and customer-facing teams.
Diverse and inclusive workplace welcoming varied identities, backgrounds, and experiences.
Accessible recruitment process with accommodation requests supported during application and interviews.
Hiring process
Apply as soon as possible to be considered for an interview.
Applications can be submitted online or by email to Nick Grantham.
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