Interim Product Director

RENOIR
1 year ago
Applications closed

Related Jobs

View all jobs

FMCG Product Performance Data Scientist — 12-Month

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

Interim Product DirectorWe are incredibly proud to partner with this dynamic tech startup on a mission to transform public sector services using innovative AI-powered solutions. They are seeking a passionate and experienced Interim Product Director to join their team and play a pivotal role in driving their growth.Your RoleAs Interim Product Director, you will be responsible for leading the development and growth of their digital products. You'll work closely with the C-suite and collaborate with cross-functional teams to ensure their products align with their strategic vision. Your focus will be on leveraging AI to create efficient and effective tools that empower their users.Key Responsibilities:Product Strategy: Develop and execute a product strategy that aligns with our overall business goals.Product Management: Lead a team of product managers, overseeing the entire product lifecycle from ideation to launch and beyond.AI Integration: Drive the integration of AI into our products to enhance their capabilities and efficiency.Metrics and KPIs: Define and track key performance indicators to measure product success and identify areas for improvement.Collaboration: Work closely with engineering, design, data, and other teams to ensure a seamless product development process.Continuous Improvement: Foster a culture of innovation and experimentation to continuously improve our products.What We're Looking ForProduct Leadership: Proven experience leading product teams in a fast-paced, tech startup environment. Start-up experience is essential.Technical Expertise: A deep understanding of B2B SaaS products, with a focus on AI and automation.Collaboration: Strong interpersonal skills and the ability to work effectively with cross-functional teams.Results-Driven: A passion for achieving measurable results and driving business impact.Continuous Learning: A growth mindset and a willingness to learn and adapt to new technologies and trends.Bonus PointsExperience in the welfare or social services sector.A background in engineering or data science.Why This Company?Be part of a mission-driven company making a positive impact on society.Work in a collaborative and supportive team environment.To ApplyIf you're passionate about product development and want to join a dynamic team, please submit your CV to

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.