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Leadfeeder
Customer Service 6h ago

Manager, Customer Success (Scale & Digital Programs) at Leadfeeder

Leadfeeder
GermanyGermany
Full-time
Not Disclosed
Senior-Level

Job Description

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Leadfeeder turns B2B websites into lead generation engines. Every day, potential buyers visit your website and leave without filling out a form. Leadfeeder reveals which companies are behind that traffic, shows what they care about, and helps teams act while interest is high.

By connecting website behavior with company data, intent signals, and automated workflows, Leadfeeder helps marketing and sales teams prioritize the right accounts and turn anonymous traffic into qualified pipeline.

We’re a remote-first, international team building the next generation of lead generation technology for B2B marketers. Join us and help redefine how B2B companies generate leads from the signals already happening on their website.

Position Overview

Leadfeeder is modernizing Customer Success to work at scale, not just at the top of the customer base. This role covers the majority of our customers, so how it's run shapes what most people experience after they buy.

The goal: a lifecycle where customers reach first value fast, build a habit, renew, and grow β€” supported by programs where programs do the job, and a named CSM where the relationship earns it.

The team delivers that lifecycle through three connected motions:

  • Priority coverage β€” a smaller group of customers per region gets a named CSM, chosen by value concentration or risk.
  • Digital programs β€” the long tail is covered without a named owner: triggered outreach, one-to-many programs (office hours, webinars), self-serve content, and a shared expansion queue.
  • Onboarding β€” every new customer on our mid-tier package gets a live, round-robin-booked onboarding call.

We're hiring a Manager to own all three and decide, with evidence, how the team's time splits across them.

The operating model, segmentation, and capacity framework are already live β€” designed earlier this year. What's open is proving them out: testing capacity assumptions against real volume, turning usage and health signals into weekly targeting the team can act on, and finding where automation and AI genuinely help rather than add noise.

What You Will Do

- Run a multi-motion coverage model

  • Own named coverage: a small CSM team working a defined portfolio β€” driving stalled adoption, securing renewals, stabilizing at-risk relationships.
  • Own the digital long tail: triggered outreach, one-to-many programs, self-serve enablement, a shared expansion queue, and clean hand-offs to Support.
  • Own onboarding: every eligible new customer gets a live first session; keep booking mechanics, volume, and completion rate healthy.
  • Decide and defend the capacity split across the three. The current split is a working assumption β€” proving it out is one of your first jobs.

- Build the digital program engine

  • Design programs that reach thousands of customers without a named owner: lifecycle campaigns, office hours, webinars, in-product prompts, self-serve paths.
  • Decide where a human conversation earns its keep versus where a program does the job, and move the line as the evidence changes.
  • Work closely with Marketing, Product, and Sales β€” most of this motion runs through channels CS doesn't own alone.

- Turn signals into action

  • Read renewal load, expansion signals, and onboarding volume across the team every week, and act on them.
  • Turn usage and health signals into thresholds: which patterns warrant a human conversation, which trigger a program, which are noise β€” sharpen these as you learn.
  • Build reporting that gives an honest view of portfolio health, retention risk, and expected revenue movement.
  • Feed what this team sees back into Product, Marketing, and Sales.

- Use AI where it creates leverage

  • Apply AI to scale reach across the long tail and get more from the signals we already collect: health scoring, risk alerting, outreach personalization, call prep.
  • Ship AI where it genuinely changes the model's economics β€” don't run experiments that never launch. Use our internal AI ops team for support.
  • Stay ahead of the curve on digital CS.

- Develop the team commercially

  • Coach a small team who shift between three postures: individually accountable, program-driven, high-volume onboarding.
  • Build skill in renewal, expansion, onboarding, and early risk conversations.
  • Set expectations around outcomes β€” adoption improved, renewals secured, expansion surfaced β€” not activity cadences.
  • Hire and develop as the team grows.

Requirements

Essential

  • Experience running CS at scale β€” named coverage, pooled/tech-touch, or a mix. Only run one? Show how you'd design and stand up the other.
  • A track record of managing and developing people across genuinely different ways of working on one team.
  • Real exposure to digital or programmatic CS within B2B SaaS: lifecycle campaigns, automated outreach, one-to-many enablement. You know what works at scale, not just what looks good in a deck.
  • A commercial background or close to it: sales, RevOps, or a CS role carrying retention and expansion targets.
  • Strong data literacy β€” the judgment to turn usage and health data into coverage decisions, not just dashboards.
  • Practical AI fluency: you've put AI tools into a CS or RevOps workflow and made them stick.
  • Comfort with a young operating model β€” you validate and adjust rather than wait for someone else to prove it first.

Nice to have

  • Product-led or high-velocity SaaS experience, serving a large volume of smaller customers.
  • Familiarity with Salesforce, Intercom, round-robin scheduling, or sales engagement platforms.
  • RevOps, Sales Ops, or CS Ops background alongside people management.

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.

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Leadfeeder (operating under leadfeeder.com, legally Dealfront Group GmbH / Leadfeeder Oy) is the premier, enterprise-grade B2B website visitor identification platform, intent intelligence pioneer, and sales enablement orchestration powerhouse engineered to act as the definitive, high-velocity de-anonymization, behavioral tracking, and CRM-enrichment layer for marketing, sales, and demand generation teams globally. Founded in Helsinki, Finland in 2012 by pioneering B2B SaaS entrepreneurs Pekka Koskinen, Herkko Kiljunen, and Vicent Llongo, the company completely eliminates the severe systemic friction of modern outbound marketingβ€”where over 98% of B2B website traffic remains anonymous, valuable buy-signals go unnoticed, and sales development reps struggle with blind cold-outreachβ€”by deploying its industry-leading reverse IP-to-company database. Moving far beyond traditional, passive traffic-measurement tools, Leadfeeder natively unifies automated corporate IP matching, custom visitor scoring engines, ideal customer profile (ICP) target-list builders, and automated real-time alert systems into a high-availability lead generation ecosystem. In a landmark consolidation of European marketing-technology leaders in 2022, Leadfeeder merged with German sales intelligence giant Echobot in a €180 million deal to form Dealfront, uniting their IP tracking and AI-driven data systems into a powerhouse B2B revenue and compliant intelligence suite. Trusted by over 15,000 businesses worldwide, the platform converts raw pageviews into high-value sales pipelines. Under the hood, its technology core utilizes an advanced daily updated machine learning algorithm that cross-references network IP registrations, filters out non-commercial ISP and bot noise, and enriches corporate traces with compliant contact databases containing over 60 million companies and 400 million verified decision-makers. Integrated seamlessly with leading platforms like HubSpot, Salesforce, Pipedrive, and Slack, the system provides strict GDPR-compliant intelligence that routes warm pipeline signals directly into sales workflows with absolute data accuracy and real-time responsiveness. What sets Leadfeeder apart is its uncompromising dedication to replacing passive analytical assumptions with direct, actionable account-level buyer intent; by bridging the gap between high-volume, anonymous web traffic and immediate sales execution, the enterprise remains a definitive cornerstone of modern algorithmic RevOps and global digital B2B growth transformation.

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