Dealfront is a B2B go-to-market platform used by sales and marketing teams to identify, prioritise, and engage with their ideal customers. We bring together firmographic data, intent signals, web activity, and enrichment capabilities to surface high-value accounts at just the right time.

Data is at the heart of everything we do - and we're doubling down. With recent investments in generative AI, our ambition is to build the smartest, most responsive company profiles in the market, and we’re now hiring a senior leader to own that mission.

The Role

We're looking for a Senior Data Product Manager to lead the next generation of our data intelligence and data enrichment products. This role involves managing and innovating with an expansive dataset, including over 40 million companies and 200 million contacts. This isn’t a traditional data plumbing role. It’s about reimagining what it means to understand a company at scale, in real time, and with context.

You’ll drive initiatives that enrich company profiles using structured and unstructured data, build systems that understand market signals before they become obvious, and introduce generative AI agents into our enrichment flows. These agents don’t just fill fields - they research, interpret, and synthesise web data to generate genuinely insightful company descriptions, classifications, and targeting criteria.

This is a role for a builder and a systems thinker. Someone who sees data as a product, and knows how to make it feel alive in the hands of a user.

What You’ll Be Doing

You’ll lead a portfolio of initiatives that span enrichment, classification, and signal surfacing. Rather than listing tasks, here’s the kind of work you’ll be leading:

• Evolving our understanding of a “company”: You’ll define how our platform interprets what a company does, sells, targets, and cares about, using both structured taxonomies and unstructured data sources.
• Embedding generative AI into enrichment: You’ll drive the integration of research agents into our enrichment pipeline, enhancing how we read websites, infer targeting models, and generate clean, contextual insights.
• Closing data gaps intelligently: Whether through partnerships, scraping, LLMs, or smart internal logic - you’ll ensure our data products are always ahead of the market in coverage and relevance.
• Making data discoverable and usable: You’ll work with UX, search, and platform teams to make sure enriched insights are surfaced where and when users need them - whether that’s natural language search, AI-generated lists, or CRM exports.
• Driving quality and trust: You'll define quality KPIs, implement evaluation loops (including known-truth datasets), and work closely with legal and privacy teams to maintain our compliance posture.

Requirements

We want someone who’s excited to work on foundational data problems and bring cutting-edge AI into production environments. You're comfortable talking about vector databases one moment and product onboarding flows the next.

You might be a great fit if:

• You’ve spent at least 3–5 years in product management, ideally building or scaling data products in a B2B SaaS or platform environment.
• You’ve owned enrichment pipelines, classification systems, or search-based experiences, and have experience with data governance and quality frameworks to support AI product development.
• You’ve worked with (or are excited by) generative AI systems and research agents for tasks like classification, summarisation, or signal extraction.
• You have hands-on experience sourcing, evaluating, and integrating third-party datasets to fill coverage or quality gaps.
• You think in systems: How data is generated, stored, enriched, and ultimately used.
• You care about data quality, but also about delivering immediate value to end users.
• You’re comfortable with ambiguity, can move fast without perfect information, and know how to prioritise.
• You’re excited to own a mission-critical domain in Europe’s leading go-to-market platform, and to define how we apply generative AI to one of the largest datasets in B2B sales.

Bonus points for:

• Familiarity with LLM prompt engineering, agents, or orchestration frameworks
  Understanding of company taxonomies like NACE, NAICS, or proprietary tagging systems
• Experience building or using feedback loops to train and improve AI systems

Benefits

• The chance to work with a very knowledgeable, high-achieving and fun team.
• An international, diverse, dynamic and committed work environment.
• The opportunity to work remotely, with a flexible work schedule.
• Mental Health support with Auntie.
• Annual company retreats in sunny locations and team off-sites :)

If you are interested in this opportunity, we kindly request that you apply via this advert, as opposed to sending us an email or LinkedIn direct message. We are eager to ensure that each candidate application is considered fairly, and receives a consistent experience. Unfortunately, we cannot ensure this standard if you enquire about a role via email or LinkedIn message, as it falls outside of our established process.

We encourage all interested candidates to apply, even if you don't meet all of the criteria listed. We value diversity and inclusion in our workplace and welcome applications from candidates across all backgrounds and do not discriminate on the basis of race, religion, gender, sexual orientation, age, marital status, disability or any other protected characteristics.