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For Companies At a Glance
- Tasks: Lead the evolution of our data platform and innovate to improve performance and accuracy.
- Company: Join Adthena, an award-winning search intelligence platform redefining the industry since 2012.
- Benefits: Enjoy remote-first work, flexible hours, trust-based vacation, and a range of health and wellness perks.
- Other info: Be part of a dynamic team with excellent career growth opportunities and regular social events.
- Why this job: Make a real impact by shaping the future of paid search intelligence with cutting-edge technology.
- Qualifications: Experience in data product management or related fields, with strong analytical and market research skills.
The predicted salary is between 36000 - 60000 ÂŁ per year.
1 day ago Be among the first 25 applicants
Our Mission
Join us in shaping the future of paid search intelligence. Adthena is an award-winning search intelligence platform powered by patented AI technology and a team of dedicated experts. We help brands, marketers, and agencies dominate their competitive landscapes with unparalleled insights into the paid search market. Our Whole Market View, Smart Monitor, and Local View solutions give clients the clarity to optimize spend, increase ROI, and stay ahead of the competition.
Trusted by global brands like Citibank, L’Oréal, and Volvo, and backed by Updata Partners, we’ve been redefining search intelligence since 2012. In 2024, Adthena earned 9 major industry awards, including Best AI Search Software Solution at the Global Search Awards and Best Use of AI for Data at the US Search Awards.
Why Join Us?
- Smaller than large enterprises, offering more autonomy, less red tape, and accelerated growth.
- Strong Culture: 93% average approval rating for company culture, eNPS of 27.
- Award‑Winning Product: Best AI Search Software Solution, Global Search Award 2024.
- Trust‑Based Time Off: Take as much time off as you need, when you need it.
- Remote‑First: 52% of work is fully remote, with hybrid options at London, Austin, and Sydney.
- Flexible Work: Autonomy over your day.
- Career Growth: Bespoke training and “Sherpa” plans.
- Private Medical Insurance and Mental Health Support.
- Family Care Package: Up to 6 months fully paid maternity leave, 2 months paternity leave.
- Pension & 401(k): Competitive schemes available from day one.
- Home Office Stipend: $200 for your ideal remote setup.
- Swag Welcome Gift: $70 credit for merch.
- Birthday Day Off, Regular Socials, Volunteer Days.
About The Role
Reporting to: Vesela Dragusheva, Product Lead
Location: United Kingdom
Interviews: 4 stages, approximately 2.5‑3 hours over 2 weeks.
Start Date: ASAP
For more information, see FAQ below, our candidate hub, or email recruitment@adthena.com.
You’ll be part of Adthena’s Product team in London, working with top AI specialists. The team focuses on user‑centric design and data‑driven solutions that deliver tangible value to customers and business objectives.
What You’ll Do
As a Product Manager for the Data and Data Science team, you will own the data product backlog, innovate new ideas to improve performance, accuracy, and cost of Adthena data, and drive the end‑to‑end product development lifecycle across engineering, design, and data science.
Responsibilities
- Product Strategy & Vision
Lead the evolution of the product vision and strategy for Adthena\’s data platform and services, ensuring alignment with company objectives. - Shape, plan, and prioritize the data team’s backlog focused on performance, architecture, and cost.
- Develop a comprehensive data product roadmap, prioritizing initiatives based on business viability and impact.
- Act as a key evangelist for the product vision across the organization.
- Coordinate with CTO and Tech Leads to prioritize and plan work for data and data science teams.
- Product Development & Execution
Translate complex data infrastructure needs into well‑defined product requirements and user stories. - Lead end‑to‑end product development for significant data capabilities and platform features.
- Provide product management support around backlog creation, prioritization, and GTM activities.
- Serve as product owner for the data engineering team, managing backlog and fostering an agile environment.
- Identify and mitigate risks throughout development, ensuring timely delivery.
- Market & Internal Customer Focus
Champion internal customer‑centricity, uncover latent needs, and validate hypotheses through research. - Build strong relationships with product managers, data scientists, engineers, and strategic partners.
- Become the domain expert in Adthena’s data architectures and models.
- Collaborate with other PMs on features dependent on data capabilities.
- Coordinate with marketing and support to bring data features to market via GTM processes.
- Synthesize qualitative and quantitative data into actionable insights.
- Product Ownership & Performance
Own strategic objectives for a significant data platform area and measure success using KPIs focused on performance, scalability, reliability, and cost‑efficiency. - Track and analyze key metrics, derive insights, and drive continuous improvement.
- Identify opportunities for platform optimization and growth.
- Collaboration & Innovation
Drive effective collaboration across Engineering, Design, Data, Data Science, Marketing, Sales, Customer Support, and Success. - Lead ideation sessions for complex data challenges.
- Communicate product updates and strategic rationale to stakeholders.
- Industry Awareness
Keep up‑to‑date with data engineering, instrumentation, data lake, and validation trends in MarTech/AdTech. - Maintain expert knowledge of emerging technologies and competitive landscape.
- Contribute to thought leadership within the product organization.
Who We Look For
Research shows men apply if they meet ~60% of the criteria, while women and under‑represented groups apply only if they meet all requirements. If you have the skills but don’t meet every requirement, reach out – we’d love to explore how you could be a great fit!
Required Experience
- Data‑related product owner, data engineer, senior data analyst, or data scientist background.
- Experience with market research to articulate opportunities, competitive analysis, or customer needs.
- Demonstrated ability to build business cases for new products/features.
- Comfort setting KPIs for product streams and driving toward success metrics.
- Up‑to‑date with GenAI tools and ways of working.
- Experience delivering a data engineering and/or instrumentation roadmap with software engineering teams.
- Back‑end experience with high‑transaction data platforms.
- Ability to own and deliver a data product roadmap.
- Excellent communication of concepts to stakeholders.
- Working knowledge of agile methods (Scrum or Kanban) and tools like Jira.
- Knowledge of ETL processes and associated technologies.
- Proficiency in Python, APIs, SQL, and data analytics.
Bonus Points
- Experience with AWS or GCP.
Our Core Values
- Get Shit Done – act, own challenges, find solutions.
- Freedom with Responsibility – charge results, pursue personal success.
- Deliver Remarkable Quality – exceed expectations in all work.
- Smart & Always Improving – continuously expand knowledge.
Meet Your Teammates
Paul Felby
Chief Product & Tech Officer
https://www.linkedin.com/in/paul-felby-1a475a18a/
Vesela Dragusheva
Product Lead
https://www.linkedin.com/in/vesela-dragusheva/
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Data Product Manager employer: Adthena
Contact Detail:
Adthena Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Adthena or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data products. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Be ready to discuss market research! Brush up on how you've tackled competitive analysis or identified customer needs in the past. This will show you're not just about the numbers but also understand the market landscape.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Adthena team.
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Product Manager. Highlight your experience with data-related projects and any relevant skills that align with our mission at Adthena. We want to see how you can help us shape the future of paid search intelligence!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your background makes you the perfect fit for our team. Don’t forget to mention specific examples of how you've tackled challenges in previous roles.
Showcase Your Achievements: When detailing your experience, focus on your achievements rather than just responsibilities. Use metrics where possible to demonstrate how you've driven performance or improved processes. We love numbers that tell a story!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Adthena
✨Know Your Data Inside Out
As a Data Product Manager, you’ll need to demonstrate a solid understanding of data concepts and analytics. Brush up on your knowledge of data platforms, market research methodologies, and how to articulate customer needs. Be ready to discuss specific examples from your past experience where you've successfully managed data projects.
✨Showcase Your Strategic Thinking
Adthena is looking for someone who can shape the product vision and strategy. Prepare to talk about how you've previously developed product roadmaps or prioritised backlogs. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your strategic contributions.
✨Be an Evangelist for Data
You’ll need to act as a key evangelist for the product vision across the organisation. Think about how you can communicate complex data insights in a way that resonates with different stakeholders. Practice explaining your ideas clearly and concisely, as this will be crucial during your interview.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions that show your interest in Adthena’s mission and products. Ask about their current challenges in data management or how they envision the future of their data services. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.