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For Companies At a Glance
- Tasks: Shape the future of marketing analytics with AI-driven products and collaborate with a dynamic team.
- Company: Fast-growing Series A SaaS startup transforming brand-audience connections in virtual worlds.
- Benefits: 25 days holiday, bonus GEEIQ Day, vibrant company culture, and fun team events.
- Other info: Exciting opportunities for growth in a supportive, collaborative environment.
- Why this job: Join a pioneering team and make a real impact on innovative marketing solutions.
- Qualifications: 5-10 years in product management, AI fluency, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Application Deadline: 31 May 2026
Department: Product
Employment Type: Permanent - Full Time
Location: London
About Us
We are a fast-growing Series A SaaS startup at the forefront of the next big shift in marketing—transforming the way brands connect with audiences in virtual worlds. This is a shift on par with the rise of social media, and we are building the analytics engine to power it. You will be joining a tight-knit, high-impact team of 40 people (including a product team of 3 and an engineering team of 10), meaning your work will directly shape the trajectory of our platform and company.
About the Role
As a Product Manager, you will play a pivotal role in shaping the direction of our marketing analytics platform. We are looking for an AI-first product thinker, someone who understands how to bridge the gap between complex virtual world data, cutting-edge AI capabilities, and human-centric workflows. You will work closely with our lean engineering and design teams to deliver impactful solutions. You won't just ship features; you will deliver measurable outcomes, taking ownership of the product development lifecycle from ideation to launch while bringing a "get it done" mentality to our fast-paced environment.
Key Responsibilities
- Own the Vision & Roadmap: Define product features in alignment with company goals, customer needs, and market trends. Use your intuition and data to make hard trade-offs between what unblocks our customers today and what enables their success tomorrow.
- Ship AI-Native Products: Own the lifecycle of AI-enhanced experiences. Envision and prototype intelligent features, always ensuring human-in-the-loop controls, clear boundaries of authority, and safe, auditable behaviours.
- Evaluate AI Flows Rigorously: Partner with engineering to test and measure AI helpfulness, accuracy, and safety, accounting for real-world complexities in marketing analytics data.
- Co-Create with Customers: Talk to customers, sales, and client services teams weekly. Build rapid feedback loops to deeply understand user workflows, JTBD (Jobs to Be Done), and pain points.
- Cross-Functional Collaboration: Lead cross-functional cycles with urgency and agency. Work tightly with your engineering (backend and frontend) and design counterparts to ensure user-centric design, scalability, and technical feasibility.
- Agile Execution & Autonomy: Lead product development cycles using agile methodologies. Do the simple thing first to validate your hypothesis, manage backlogs, and prioritise initiatives to balance short-term needs with our long-term vision.
- Data Analysis & Metrics: Define north-star and guardrail metrics. Analyse both qualitative and quantitative data to make data-informed prioritisation decisions and refine product offerings.
What we're looking for
- Experience: 5–10 years of experience in product management, ideally in a B2B Martech, SaaS or tech-focused startup environment. You have a track record of shipping high-quality, delightful products.
- AI Product Fluency: Experience defining user problems suited for Generative AI, collaborating on models or heuristics, and establishing evaluation approaches for quality and accuracy. You actively leverage AI to solve user problems and continuously improve your own craft.
- Ability to Write Persuasively: You write strategy memos that align the team, product specs that empower our engineers, and communication that brings stakeholders along. You value clarity over fluff.
- Basic Technical Fluency: You can seamlessly engage with an engineering team of 10 on integration constraints, data contracts, and system trade-offs—no coding required.
- High Standards for Craft: You care about the user journey and edge cases. You move with urgency and take pride in shipping great products.
- A "Get It Done" Mentality: You have a strong bias for action. You are comfortable operating in the ambiguity of a Series A startup and are willing to roll up your sleeves to move projects forward.
Bonus Points
- Experience working in marketing-related SaaS products, virtual environments or gaming.
- Familiarity with tools such as Linear, Notion, or similar agile project management tools.
- Can point to side projects or proof of work that showcases your bias for action and AI curiosity.
Why join us?
- Join a business at the forefront of the next big shift in marketing.
- Be part of a fast-growing startup with a collaborative, innovative, and supportive team.
- Work on cutting-edge products that are helping top brands navigate the virtual world.
- Opportunity to make a massive, tangible impact on product.
- We offer 25 days holiday as standard, with a bonus annual GEEIQ Day to use any time you choose.
- We also have a thriving company culture, with regular socials and lots of fun team events like quizzes, sports days, Hackathons and Bake Offs!
Product Manager (AI-First) employer: GEEIQ
Contact Detail:
GEEIQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager (AI-First)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product management. Think about how your experience aligns with the AI-first approach and be ready to share specific examples of your past successes.
✨Tip Number 3
Showcase your passion for AI and product management during interviews. Share your thoughts on current trends and how they could impact the industry. This will demonstrate your enthusiasm and knowledge, making you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and being part of this exciting journey.
We think you need these skills to ace Product Manager (AI-First)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in product management shine through. We want to see how you can bridge the gap between complex data and user-friendly solutions.
Be Clear and Concise: We value clarity over fluff! Make sure your application is straightforward and to the point. Highlight your relevant experience and skills without unnecessary jargon—keep it engaging and easy to read.
Tailor Your Application: Don’t just send a generic application. Tailor your CV and cover letter to reflect how your experience aligns with our needs as a fast-growing startup. Show us how you can contribute to our mission and culture!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at GEEIQ
✨Know Your Product Inside Out
Before the interview, dive deep into the company's product and its AI capabilities. Understand how it transforms marketing analytics and be ready to discuss specific features and potential improvements. This shows your genuine interest and helps you connect your experience with their needs.
✨Prepare for Technical Discussions
Brush up on basic technical concepts related to AI and product management. Be prepared to discuss integration constraints and data contracts, as this will demonstrate your ability to engage effectively with the engineering team. You don’t need to code, but understanding the lingo is key!
✨Showcase Your User-Centric Approach
Be ready to share examples of how you've co-created with customers in the past. Discuss how you’ve built feedback loops and addressed user pain points. This aligns perfectly with their emphasis on understanding user workflows and delivering impactful solutions.
✨Demonstrate Your 'Get It Done' Mentality
Share stories that highlight your bias for action and ability to thrive in ambiguity. Talk about times when you took initiative to move projects forward, especially in fast-paced environments. This will resonate well with their startup culture and expectations.