Senior Product Manager
L
LeadfeederB2B SaaS
Workable locations: Germany Location: Germany Based in Europe. This is a fully remote role.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years in product management, with at least 3 years at Senior PM level or equivalent
- Required Skills
- SQLArtificial IntelligenceProduct ManagementSalesforceProduct AnalyticsRESTful APIsLead GenerationCRMA/B testingHubSpot
Requirements
- Experience: 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: You’ve built activation, automation, or workflow products that bridge data insight to user action. You know what it takes to ship features that directly drive retention and expansion — not just usage.
- CRM and integration fluency: Deep understanding of CRM ecosystems (HubSpot, Salesforce, Pipedrive) and how data flows between marketing and sales tools. You think in systems, not features.
- Data-driven decision making: Strong analytical mindset with experience using product analytics, A/B testing, and SQL to identify opportunities and validate impact. You define success metrics before you write specs.
- Technical depth: Comfortable going deep with engineers, understanding APIs, data pipelines, and enrichment architectures. You can write a clear technical spec and hold your own in architecture discussions.
- AI-native: This is non-negotiable. You use AI tools daily — for prototyping, analysis, writing, and decision-making. You’re not just open to AI; you’re already ahead of most people in using it. Bonus if you’ve shipped AI-powered product experiences (scoring models, recommendations, automated actions).
- Comfortable being uncomfortable: You thrive in ambiguity. You can make strong decisions with 70% of the information, move fast without waiting for permission, and stay effective when the ground shifts under your feet. You’re energized by transformation, not paralyzed by it.
- Ownership mindset: You own problems end-to-end — from discovery through delivery to post-launch measurement. You don’t wait for someone to tell you the next step. You have a strong bias for shipping.
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.
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