[Hiring] Senior Product Manager @Leadfeeder

Role Description

Leadfeeder is a lead generation platform for B2B mid-market companies. We give businesses the clarity to focus their efforts where they’ll count most — on the companies that fit their ideal customer profile, show real buying intent, and are actively engaging.

Our platform brings together powerful data, real-time intent, and intelligent prioritization to help customers identify, enrich, and activate the right leads at the right time. Built for teams that value speed, precision, and simplicity, Leadfeeder turns complexity into action.

We are a remote-first European company going through a major transformation — unifying our product suite under a single brand with a clear mission: turn B2B websites into lead generation engines.

Here’s the gap we’re closing:

• Marketers invest heavily to drive traffic to their websites.
• Our platform identifies which companies are visiting and what they’re interested in.
• The real value comes when those companies are scored, enriched with the right contacts, and automatically delivered to sales teams in the tools they already use — HubSpot, Salesforce, Pipedrive, Slack, and more.

This is the bridge between marketing insight and revenue execution. It’s where leads get prioritized by fit and intent, where buyer groups are identified, where contact details are enriched, and where automated workflows ensure the right leads reach the right people at the right time.

Without this bridge, customers see data but can’t act on it — and that’s the single biggest reason they churn. Getting this right is not just a product problem; it’s the most important retention lever in the entire business.

What you’ll be building:

• Lead scoring and prioritization: ICP fitness scores, intent-based scoring, and company tiering that help revenue teams focus where it matters.
• Automated Workflows: Rules-based and AI-driven automation that delivers enriched leads directly into CRM, Slack, email, and other sales tools — no manual effort required.
• Lists: The primary workspace where users build, filter, and manage dynamic lead segments — central to how customers interact with the platform daily.
• Contact enrichment and buyer groups: Surfacing the right decision-makers (emails, phone numbers, roles) so sales teams reach real people, not just company names.
• AI-powered next best actions: Smart recommendations, one-click actions, and automated routing that turn a data platform into an opinionated activation engine.

Key Responsibilities

• Own the activation and lead delivery domain end-to-end: Define the vision, strategy, and roadmap for how Leadfeeder turns identified companies into qualified, actionable leads — covering scoring, enrichment, Workflows, Lists, and AI-driven activation.
• Ship Workflows and Lists to General Availability: Your immediate priority. Drive the final delivery, launch, and post-launch iteration to bring these two core capabilities to all customers.
• Close the retention loop: Ensure that every customer can seamlessly prioritize, enrich, and deliver leads to their CRM — making the platform’s value undeniable.
• Define scoring and prioritization models: Build and evolve ICP fitness scoring, intent signals, and company tiering.
• Expand enrichment and buyer group identification: Deepen our contact enrichment capabilities and surface the right decision-makers at identified companies.
• Build AI-powered activation: Move beyond manual configuration toward smart, opinionated recommendations.
• Own CRM integration strategy: Ensure seamless, reliable data flow into HubSpot, Salesforce, Pipedrive, and MS Dynamics.
• Partner deeply with engineering and design: Work within one-month delivery cycles alongside your Engineering Coordinator and cross-functional team.
• Leverage data and AI in everything you do: Use analytics, AI tooling, and rapid experimentation to identify friction, validate hypotheses, and ship faster.

Qualifications

• 7+ years in product management, with at least 3 years at Senior PM level or equivalent.
• Experience in B2B SaaS is required; experience in lead generation, CRM, marketing automation, or sales intelligence platforms is strongly preferred.
• Activation and workflow expertise: Experience building activation, automation, or workflow products.
• CRM and integration fluency: Deep understanding of CRM ecosystems (HubSpot, Salesforce, Pipedrive).
• Data-driven decision making: Strong analytical mindset with experience using product analytics, A/B testing, and SQL.
• Technical depth: Comfortable going deep with engineers, understanding APIs, data pipelines, and enrichment architectures.
• AI-native: Use AI tools daily — for prototyping, analysis, writing, and decision-making.
• Comfortable being uncomfortable: Thrive in ambiguity and make strong decisions with limited information.
• Ownership mindset: Own problems end-to-end — from discovery through delivery to post-launch measurement.

Nice to Have

• Experience with lead scoring, account prioritization, or intent-based products.
• Background in contact enrichment, data quality, or B2B data platforms.
• Experience in PLG (product-led growth) environments or building self-serve activation flows.
• Familiarity with the competitive landscape: Apollo, Cognism, ZoomInfo, 6sense, Clay, or similar platforms.
• Experience working with short-cycle delivery models (monthly or bi-weekly shipping cadences).
• Ownership of the most commercially critical product domain at a company going through a transformative moment.
• Direct collaboration with the CPTO and a passionate R&D team.
• A remote-first European culture that values autonomy, impact, and bias for action over process and politics.
• The tools and freedom to build with AI, not just talk about it.
• Competitive compensation and benefits package.
• Real, measurable impact on the metric that matters most: keeping customers and growing their value.