Data Product Manager

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. Ready to make an impact in an industry-leading company? Let’s do it together.

In 2024, Adthena continued its winning streak, earning 9 major search industry awards. Highlights include Best AI Search Software Solution at the Global Search Awards, Best Use of AI for Data at the US Search Awards, and Best PPC Management Software Suite at the UK Search Awards.

Why Join Us?

We offer the best of both worlds: the maturity and stability of a well-established company combined with the energy, agility, and impact of a scaling tech organisation. If you’ve been hesitant about joining a typical tech company due to concerns about chaos, fragility, or volatility, Adthena is your answer.

• We’re smaller than large-scale enterprises, offering more autonomy, less red tape, and accelerated growth.

Here’s what we offer:

• Strong Culture: Our quarterly surveys show a 93% average approval rating for company culture, with an overall eNPS of 27.

• Award-Winning Product: Best AI Search Software Solution, Global Search Award 2024"

• Trust-Based Vacation: Take as much time off as you need, when you need it.

• Remote-First: 52% of Adthenian’s work fully remote, with others choosing Hybrid Work at our 3 Geohubs (London, Austin, Sydney).

• Flexible Work: Work how and where you do your best, with full autonomy over your day.

• Career Growth: Bespoke training and career development via "Sherpa plans” to guide your growth.

• Private Medical Insurance: Fully covered health care.

• Mental Health Support: Employee Assistance Program offering 24/7 confidential counselling, with access to ‘healthier living’ services such as ‘HeadSpace’.

• Family Care Package: Up to 6 months fully paid maternity leave, and 2 months paternity leave.

• Pension & 401(k): Competitive UK/US/AUS pension schemes, available from day one.

• Home Office Stipend: $200 for your ideal remote setup.

• Swag Welcome Gift: $70 credit to grab some merch.

• Birthday Day Off: Celebrate your special day.

• Regular Socials: Summer & Christmas parties, annual and quarterly offsites, monthly meet-ups. See here for more info.

• Volunteer Days: Make a difference with paid volunteer time each quarter. See here for more info.

About the Role

Reporting  to: Vesela Dragusheva, Product Lead

Location: United Kingdom

Interviews: 4 stages, totalling around 2.5-3 hours over 2 weeks.

Start Date: ASAP

More info: See FAQ below, our candidate hub, or reach out to recruitment@adthena.com

About your Team 

You’ll be part of Adthena’s Product team, working with the very best AI specialists in London. The team members all share a passion for user-centric design and harnessing the power of data to find innovative solutions to customer problems.

We are fanatically focused on the areas where we can make the most difference for our customers and our business. Everything we build is tied to and measured by the value and outcome it brings our users and buyers, as well as its impact on our objectives.

Figuring out what we need to build and prioritising when we build it is a core responsibility. We bring the vision and context to empower great decisions for our search marketing clients, so we focus on posing the right questions that will enable us to discover the most innovative and valuable solutions. This involves ensuring that potential risks are mitigated such as value, feasibility, usability and viability risks.

We believe in a collaborative partnership where Product focuses on customer and business outcomes, while Engineering, Design and Data Science focus on how we get there. Product’s main role in execution is to be the voice of the market and make sure we achieve what we set out to do by being the glue that binds teams together. We communicate the “who, what, why and when” to the company and work closely with Marketing, Sales, and Customer Success to ensure our customers’ success.

What you’ll do at Adthena

As a Product Manager for the Data and Data Science team, you will work closely with the business, customers and technology teams to understand the challenges that need solving and their priorities.

You’ll be responsible for owning the data team and Data Science backlog, as well as innovating new ideas to improve performance, accuracy and costs of Adthena data, the distributed ETL and the use of data science.

Responsibilities

Product Strategy & Vision

• Lead the evolution of the product vision and strategy for Adthena's data platform and services, ensuring strong alignment with the company's overarching strategic objectives and market opportunities.

• Shape, plan, and prioritize the data team’s backlog focusing on the performance, architecture, and cost of delivery of our data services.

• Drive the development and ownership of a comprehensive data product roadmap, proactively identifying and prioritizing key initiatives based on deep technical understanding, business viability analysis, and anticipated significant time-to-impact.

• Act as a key evangelist for the product vision across the organization, effectively communicating strategic rationale and ensuring buy-in from senior leadership and cross-functional teams.

• Work with CTO and TAs to coordinate, prioritize, and plan the work of the Data and Data Science teams.

Product Development & Execution

• Translate complex data infrastructure, data pipeline, and data science needs into well-defined, actionable product requirements and user stories, driving clarity and consensus across engineering, design, and data science.

• Lead the end-to-end product development lifecycle for significant data capabilities and platform features, from strategic ideation through detailed execution, launch, and continuous iteration, ensuring high-quality delivery.

• Work with the Data and Data Science teams to provide product management support around backlog creation, prioritization, and GTM activities.

• Serve as the expert product owner for the data engineering team, providing clear direction, managing the backlog with a focus on delivering incremental value, and fostering a collaborative, agile environment.

• Proactively identify and mitigate risks throughout the development process, unblocking teams and ensuring timely delivery.

Market & Internal Customer Focus

• Champion internal customer-centricity, leading in-depth research to uncover latent needs from product teams, data scientists, and business stakeholders, identifying emerging opportunities in data capabilities.

• Develop and maintain strong relationships with key internal stakeholders (e.g., product managers, data scientists, engineers) and strategic partners, conducting advanced user research, interviews, and feedback sessions to validate hypotheses and ensure data-centric solutions.

• Become the recognized domain expert in Adthena's data and data science architectures and models, demonstrating a profound and continually expanding knowledge of our data landscape, intricate internal customer problems, and relevant technologies.

• Provide consultancy and collaboration with the other PMs as they plan features that have dependencies on data capabilities, working closely with architects and engineers.

• Work with marketing and support teams to successfully bring Data features to market via the company’s GTM process.

• Synthesize complex qualitative and quantitative data into actionable insights that directly inform product strategy and prioritization.

Product Ownership & Performance

• Take full ownership of strategic objectives and a significant data platform area, bearing ultimate responsibility for achieving defined business and internal customer outcomes.

• Define, track, and analyze key performance indicators (KPIs) and metrics to measure the success and impact of data product initiatives, focusing on performance, scalability, reliability, and cost-efficiency, deriving insights for continuous improvement.

• Establish and report on user success benchmarks using advanced usage statistics, analytics platforms, and structured customer feedback, driving data-informed decisions.

• Identify and proactively address potential areas for data platform optimization and growth.

Collaboration & Innovation

• Drive highly effective collaboration with cross-functional teams including Engineering, Design, Data, Data Science, Marketing, Sales, Customer Support and Customer Success, fostering a culture of shared ownership and excellence.

• Facilitate and lead ideation sessions to uncover innovative solutions to complex data management, data delivery, and data consumption challenges, ensuring alignment with technological feasibility and business goals.

• Communicate complex product updates, progress, and strategic rationale clearly and persuasively to diverse internal and external stakeholders, including senior management.

Industry Awareness

• Keep up-to-date with market developments in data engineering, data instrumentation, data lake, and data validation paradigms in the MarTech / AdTech industries.

• Maintain expert-level knowledge of the latest trends, technologies, and competitive landscape within data platforms, big data technologies, and data governance, proactively identifying opportunities and threats.

• Contribute to thought leadership within the product organization and potentially the broader MarTech / AdTech industry.

Who we look for

Research shows men apply if they meet ~60% of the criteria, while women and underrepresented 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:

• You are or have been a data-related product owner, data engineer, senior data analyst or data scientist

• You have working experience with market research to understand and clearly articulate to the business a market opportunity, competitive analysis, or customer need or problem.

• You have built business cases for new products/features supporting product decision-making within a business

• Comfortable setting KPIs on product streams and working towards them as success metrics

• Up to date with the latest GenAI tools and ways of working.

• Demonstrable experience of working closely with data engineering or software engineering and architects' teams to deliver a data engineering and/or instrumentation roadmap

• Back-end experience with data platforms that manage a high transactional volume of data

• Ability to own and deliver a data product roadmap

• Ability to effectively communicate concepts, ideas and requirements to stakeholders at a similar level within organisations

• Working knowledge of agile ways of working, like Scrum or Kanban, with tools like Jira

• Knowledge of ETL processes and associated technologies

• Experience writing basic Python, APIs, SQL and data analytics

Bonus Points If You Have:

• Experience working with AWS or GCP

Our Core Values

All Adthenians are expected to align closely with our ‘Core Values’.
What it means...

• Get Shit Done: We're big on taking action, owning our challenges, and finding solutions.

• Freedom with Responsibility: We take charge of results to recognition. We know that our hustle not only moves the needle for the company but also sets us up for personal success.

• Deliver Remarkable Quality: We care about exceeding expectations in the work we do and aim to always do our best work as individuals and as a team.

• Smart & Always Improving: We strive daily to expand our knowledge and become better at what we do.

Meet your teammates 

You’ll work closely with:

Paul Felby
Title: Chief Product & Tech Officer
LinkedIn: https://www.linkedin.com/in/paul-felby-1a475a18a/

Vesela Dragusheva
Title: Product Lead
LinkedIn: https://www.linkedin.com/in/vesela-dragusheva/