Senior Product Manager

Dealfront is a lead generation platform for B2B mid-market companies, and they are seeking a Senior Product Manager to lead the activation and lead delivery domain. The role involves defining the vision, strategy, and roadmap for turning identified companies into qualified leads while ensuring seamless integration with CRM tools and enhancing customer retention through effective product management.

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. These are central to our packaging and competitive differentiation
• Close the retention loop: The biggest reason customers leave is that they see website visitor data but can’t easily act on it. You will 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: Own how customers identify their best leads. Build and evolve ICP fitness scoring, intent signals, and company tiering so revenue teams focus on what matters most
• Expand enrichment and buyer group identification: Deepen our contact enrichment capabilities and surface the right decision-makers at identified companies. Bridge the gap between “we know this company visited” and “here’s who to call.”
• Build AI-powered activation: Move beyond manual configuration toward smart, opinionated recommendations — one-click actions, automated routing, and intelligent templates that make lead activation effortless
• Own CRM integration strategy: Leadfeeder is the intelligence and activation layer; CRM is where sales teams execute. 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. Write problem briefs and PRDs, define success metrics, and drive execution from discovery through launch
• Leverage data and AI in everything you do: Use analytics, AI tooling, and rapid experimentation to identify friction, validate hypotheses, and ship faster. We don’t just build AI features — we use AI to build

Requirements:

• 7+ years in product management, with at least 3 years at Senior PM level or equivalent
• Experience in B2B SaaS is required
• Activation and workflow expertise: You've built activation, automation, or workflow products that bridge data insight to user action
• CRM and integration fluency: Deep understanding of CRM ecosystems (HubSpot, Salesforce, Pipedrive) and how data flows between marketing and sales tools
• Data-driven decision making: Strong analytical mindset with experience using product analytics, A/B testing, and SQL to identify opportunities and validate impact
• Technical depth: Comfortable going deep with engineers, understanding APIs, data pipelines, and enrichment architectures
• AI-native: This is non-negotiable. You use AI tools daily — for prototyping, analysis, writing, and decision-making
• Comfortable being uncomfortable: You thrive in ambiguity
• Ownership mindset: You own problems end-to-end — from discovery through delivery to post-launch measurement
• Location: Based in Europe. This is a fully remote role
• Experience in lead generation, CRM, marketing automation, or sales intelligence platforms is strongly preferred
• 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)