старший менеджер продукта

Leadfeeder is a lead generation platform for B2B mid-market companies. Its platform combines company identification, real-time intent data, intelligent prioritization, contact enrichment, and automated workflows to help revenue teams activate leads through CRM, Slack, email, and other sales tools. The company is unifying its product suite under a single brand to turn B2B websites into lead generation engines.

• Own the activation and lead delivery domain end-to-end, defining the vision, strategy, and roadmap across scoring, enrichment, Workflows, Lists, and AI-driven activation;
• Drive the final delivery, launch, and post-launch iteration of Workflows and Lists to General Availability;
• Ensure customers can prioritize, enrich, and deliver leads to their CRM seamlessly;
• Define and evolve ICP fitness scoring, intent signals, and company tiering;
• Expand contact enrichment capabilities and buyer group identification;
• Build AI-powered activation with recommendations, one-click actions, automated routing, and intelligent templates;
• Own the CRM integration strategy and ensure reliable data flow into HubSpot, Salesforce, Pipedrive, and MS Dynamics;
• Partner with engineering, design, the Engineering Coordinator, and the cross-functional team in one-month delivery cycles;
• Write problem briefs and PRDs, define success metrics, and drive execution from discovery through launch;
• Use analytics, AI tooling, and rapid experimentation to identify friction, validate hypotheses, and ship faster.

• 7+ Years of product management experience, including at least 3 years at Senior PM level or equivalent;
• Experience in B2B SaaS;
• Experience building activation, automation, or workflow products that connect data insights to user action;
• Strong understanding of CRM ecosystems and data flows between marketing and sales tools;
• Experience with product analytics, A/B testing, and SQL;
• Understanding of APIs, data pipelines, and enrichment architectures;
• Ability to write clear technical specifications and participate in architecture discussions;
• Daily use of AI tools for prototyping, analysis, writing, and decision-making;
• Ability to make strong decisions with incomplete information and work effectively in ambiguity;
• End-to-end ownership mindset from discovery through delivery and 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 environments or self-serve activation flows; familiarity with Apollo, Cognism, ZoomInfo, 6sense, Clay, or similar platforms; experience with monthly or bi-weekly shipping cadences.

• Ownership of the most commercially critical product domain during a transformative period;
• Direct collaboration with the CPTO and R&D team;
• Access to AI tooling and freedom to build with AI;
• Competitive compensation and benefits package;
• All candidates invited to any interview stage receive the salary range and key compensation details before their first conversation.