Leadfeeder

• Define and own the AI roadmap, starting with go-to-market and expanding across the business, from use-case discovery and prioritisation through to delivery, adoption and measurement. • Identify where AI, automation and workflow redesign can remove friction, in go-to-market first and then the wider business. • Act as the connective tissue between business stakeholders and technical teams, translating operational challenges into concrete, prioritised delivery work. • Build a clear intake, prioritisation and delivery model for AI use cases, ensuring the team focuses on high-impact problems rather than isolated experiments. • Evaluate build vs. buy decisions across AI tooling, workflow automation, business systems and internal productivity tools. • Champion practical, responsible AI adoption across the company, ensuring what gets built is useful, trusted and embedded into how people work. • Partner with Legal, Security, IT, Data Warehouse and Analytics teams to ensure AI adoption is scalable, compliant and aligned with internal governance. • Help teams move from AI experimentation to repeatable workflows that improve productivity, quality, accuracy and decision-making. • Lead and develop your Engineering Manager, who owns day-to-day technical execution for the technical delivery team. • Set technical direction and priorities alongside the EM by challenging scoping, reviewing tradeoffs, and removing blockers. • Provide enough technical fluency to challenge assumptions, evaluate solutions, and ensure the right problems are being solved in the right way. • Work closely with Data Warehouse and Analytics teams to ensure AI workflows are grounded in reliable data and aligned with existing data architecture. • Foster a culture of experimentation, pragmatic delivery, continuous improvement and measurable business impact. • Ensure AI and automation initiatives are delivered with appropriate documentation, ownership, adoption plans and feedback loops. • Own Revenue Operations: the systems and data behind the revenue engine (CRM, pipeline, lead routing and forecasting). • Make RevOps one of the first proving grounds for AI: improve accuracy, speed and rep productivity, and build it. • Drive operational change that sticks, ensuring teams do not just receive new tools but adopt better ways of working. • Build trust with senior stakeholders by clearly communicating priorities, trade-offs, risks and expected outcomes. • Create practical enablement, guidance and feedback mechanisms to support AI adoption across different functions. • Measure adoption and impact, using feedback and business outcomes to refine the AI Operations roadmap. • Help the business distinguish between genuine AI opportunities and low-value experimentation or hype.

Role Description We're building a new AI Operations function, and this is the role that leads it, reporting to the Chief AI Officer. Your mandate is to drive AI adoption across the company, starting where the value is highest: our go-to-market functions, Sales, Marketing and Customer Success, then expanding across the rest of the business over time. Your core job is delivery, finding where AI can remove friction and leading a technical team to build and ship solutions, while partnering with Legal, Security, IT and Finance on the governance and economics around them. You'll embed directly with teams, ship working solutions in days rather than quarters, and turn one-off wins into reusable assets the whole company can build on. You are not walking into a blank slate. Every Leadfeeder team member is already on Claude Desktop, and AI adoption is actively underway across the company. The Director comes in to accelerate and structure what has already begun with a team that is engaged, tooled up, and ready to move faster. You'll directly manage a team of 7: a BizOps & Data Warehouse team (5 people) with an Engineering Manager reporting to you, and a Revenue Operations team (2 people). - The EM handles day-to-day technical leadership of the engineering team; you set the direction, prioritise the roadmap, and ensure the team is working on the highest-impact problems. - Revenue Operations also sits under this role, the systems and data behind our revenue engine, and it's one of the first places to put AI to work. - The broader mandate, though, is AI-led operational transformation across the company. Qualifications - Practical, commercially aware and technically fluent. - Deep hands-on experience using AI and building AI-enabled workflows, agents or internal tools that solve real problems. - Highly proficient with agentic coding tools such as Claude Code or Codex. - A genuine drive to lead AI transformation across a company. - Technical fluency to design solutions, challenge engineers and judge build vs. buy decisions. - A strong operations mindset: spot friction, prioritise ruthlessly, simplify, and turn ideas into solutions. - Comfort working with data, and clear communication across both technical and business audiences. - Readiness to own Revenue Operations (CRM, pipeline, forecasting). - Readiness to set direction and build a small team. Requirements - Experience building or leading an internal AI enablement, AI operations or automation function. - Salesforce experience, particularly around CRM architecture, reporting, routing and revenue process design. - Experience with tools such as Claude, ChatGPT, Codex, Zapier, Make, n8n, Retool, Clay, Salesforce automation, BI tools or internal workflow platforms. - Hands-on with open-source agent platforms such as OpenClaw or Hermes. - Experience working with distributed or remote-first teams. - Experience partnering with Legal, Security or Compliance teams on responsible AI or data governance. - Previous experience in a scale-up environment where processes, systems and operating models are still evolving. 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. - Personal budget for home office equipment. - Personal development plans as standard, allowing you to develop the skills you think are most important to succeed in your role, as well as regular 1-1s and group training. - Transparent compensation practices with salary range and key compensation details provided before the first conversation.

• Own tracker installation rate end-to-end. Define the baseline, instrument the funnel, ship experiments, measure results. • Own per-product activation rate across multiple product surfaces. Understand how products work, the underlying jobs to be done, and experiment to get more accounts to value, faster. • Explore product-led acquisition. Implement new 0-to-1 ideas to the table to facilitate Leadfeeder’s discovery and distribution and create new acquisition loops. • Partner with Marketing on the top-of-funnel handoff. Visitor → signup is the moment Marketing's surfaces meet ours. You'll own the product side of that handoff.

Role Description Every Leadfeeder customer starts the same way: they sign up, they install the tracker on their website, and they wait to see who's visiting. Until the tracker is live, the product has no data. Until the user has seen real visitors turn into a real lead, the product has no value. Most of our growth lever lives in that window. Tracker installation rate is the single most important upstream metric for the entire product business. Per-product activation rate — the share of users who reach the value moment in each surface they touch — is the metric that compounds everything downstream: conversion, retention, expansion. Right now, neither of these is owned end-to-end. Marketing brings the traffic. Product Core builds the depth features (Lists, Workflows, scoring, enrichment). But the path from a fresh signup to an activated user across our products is uncovered. That's this role. What you'll be building - Signup → tracker installation flow: The first thing every customer does. Faster, more guided, instrumented end-to-end. We measure success in % of signups installed and time-to-installed. - Per-product activation paths: Reveal, Target, Lists, Workflows — each has a moment where a user "gets it." You'll define the aha-event for each surface, instrument the funnel to it, and ship the experiments that move the rate. - First-touch UX across the product: Empty states, onboarding tours, first-time-user prompts, in-product nudges. Wherever a user encounters a product surface for the first time, that experience is yours. - Product-led acquisition opportunities: Explore mechanics to improve Leadfeeder’s distribution and discoverability. Ship them when a hypothesis stands up. Qualifications - 5–7 years in product management, with at least 2 years on growth, activation, acquisition, or lifecycle surfaces. - A track record of moving a growth metric you owned. - Growth mindset: connect actions to outcomes, data-driven, respect for the scientific method. - Intelligence and curiosity: reason from first principles, ask second-order questions. - Strong written and stakeholder muscle: cross-team alignment, sharp written briefs. - AI in your daily workflow: use AI tools for prototyping, analysis, writing, decision-making. - Comfortable being uncomfortable: thrive in ambiguity, ship with 70% of the information. - High-agency and ownership: own problems end-to-end. Requirements - Experience in PLG (product-led growth) environments: self-serve onboarding, activation funnels, free-to-paid conversion. - B2B SaaS background, especially mid-market or SMB. - Experience shipping referral, viral, or word-of-mouth mechanics that actually moved a number. - Experience working with short delivery cycles (monthly or bi-weekly shipping cadences). - Familiarity with B2B intent/data platforms: Apollo, Cognism, ZoomInfo, 6sense, Clay, or similar. Benefits - Competitive compensation and benefits package. - 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. - Direct collaboration with the CPTO and a passionate R&D team that ships fast, debates openly, and cares deeply about craft. - A company at a strategic inflection with brand unification and a new pricing model launching at the end of June 2026.

• Design, build, and operate production data pipelines that power Leadfeeder's product features — from ingestion through enrichment, processing, and serving. • Build and maintain streaming and real-time ingestion systems that move event data through the platform at scale and with low latency. • Own the cloud infrastructure underpinning the pipelines — compute, storage, networking, security, observability — designed and managed as code. • Collaborate with product and ML engineers to deliver datasets and pipelines that power product-facing features and AI/ML workflows. • Implement data quality, observability, and reliability controls across the pipelines so issues are caught early, incidents are short, and downstream teams can trust the data. • Drive engineering practices across the team: code review, testing, CI/CD for data, infrastructure-as-code, performance tuning, and cost discipline. • Partner with engineering, product, and ML teams to translate product requirements into scalable, well-documented data systems.

Role Description We are looking for a Senior Data Engineer to join our Platform Data team and take a leading role in our production data pipelines — the systems that power Leadfeeder's product experience, from ingesting and enriching web visit signals to delivering intent data and account intelligence to customers in near real time. This is a deeply technical, engineering-led role focused on the production data layer — the pipelines, streaming infrastructure, and cloud systems that turn raw signal into product. Reliability, scale, and engineering quality are the bar. The platform you build is what customers experience every day. You will work closely with product and engineering teams to design, build, and operate the pipelines, streaming systems, and cloud infrastructure that move data through Leadfeeder at scale. You will shape how we ingest, process, enrich, and serve production data — defining the standards, tooling, and architecture that make our data platform a competitive advantage. Responsibilities: - Design, build, and operate production data pipelines that power Leadfeeder's product features — from ingestion through enrichment, processing, and serving. - Build and maintain streaming and real-time ingestion systems that move event data through the platform at scale and with low latency. - Own the cloud infrastructure underpinning the pipelines — compute, storage, networking, security, observability — designed and managed as code. - Collaborate with product and ML engineers to deliver datasets and pipelines that power product-facing features and AI/ML workflows. - Implement data quality, observability, and reliability controls across the pipelines so issues are caught early, incidents are short, and downstream teams can trust the data. - Drive engineering practices across the team: code review, testing, CI/CD for data, infrastructure-as-code, performance tuning, and cost discipline. - Partner with engineering, product, and ML teams to translate product requirements into scalable, well-documented data systems. Qualifications - 10+ years of hands-on experience in data and/or software engineering, with a leading role in production data pipelines that power product or customer-facing systems (not only internal analytics). - Strong engineering background — production-grade Python, strong SQL, code review, testing, CI/CD, and operational ownership are second nature. - Deep cloud infrastructure experience — AWS (S3, Kinesis/MSK, Lambda, ECS/EKS, IAM, networking) or equivalent; comfortable with infrastructure-as-code (Terraform, CDK, or similar). - Experience with streaming or real-time data ingestion (Kafka, Kinesis, Flink, Spark Streaming, or similar) into a warehouse or lakehouse environment. - Solid experience with modern data warehouse / lakehouse technologies (Snowflake, BigQuery, Redshift, Databricks, Athena or similar). - Hands-on experience with data transformation tooling, particularly dbt. - Track record of building and operating distributed data systems at scale — with deliberate attention to performance, reliability, and cost. - Familiarity with data quality and observability tooling and practices (Great Expectations, dbt tests, Monte Carlo, or similar). - Background in enabling AI/ML workloads on top of production data. - Strong communication skills in English, both written and verbal, with the ability to collaborate effectively with engineering, product, and non-engineering stakeholders. - Comfortable working in a fully remote environment. - Be physically located within Europe. Nice to have - Knowledge of data cataloguing tools, data contracts frameworks, or data mesh principles. - Background in B2B SaaS and familiarity with intent data, web event data, CRM, product analytics, billing, and support tooling. 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.

• Own the entire new business sales process, from prospecting to closing, for prospects across the DACH region • Take full responsibility for building and managing your pipeline. While we provide solid lead coverage, daily multi-channel prospecting (via phone, LinkedIn, and email) is essential • Leverage a modern sales tech stack including Salesforce, Leadfeeder, Outreach, Momentum, Sales Navigator, GetAccept, and Pandadoc to drive efficiency and performance • Develop strong business acumen and a deep understanding of marketing and sales processes to position Leadfeeder as a strategic solution to your prospects’ challenges • Become an expert in our value propositions, target market, and target personas

• Own the entire new business sales process, from prospecting to closing, for prospects across the DACH region • Take full responsibility for building and managing your pipeline. While we provide solid lead coverage, daily multi-channel prospecting (via phone, LinkedIn, and email) is essential • Leverage a modern sales tech stack including Salesforce, Leadfeeder, Outreach, Momentum, Sales Navigator, GetAccept, and Pandadoc to drive efficiency and performance • Develop strong business acumen and a deep understanding of marketing and sales processes to position Leadfeeder as a strategic solution to your prospects’ challenges • Become an expert in our value propositions, target market, and target personas

• Own the entire new business sales process, from prospecting to closing, for prospects across the Benelux region • Take full responsibility for building and managing your pipeline. While we provide solid lead coverage, daily multi-channel prospecting (via phone, LinkedIn, and email) is essential • Leverage a modern sales tech stack including Salesforce, Leadfeeder, Outreach, Momentum, Sales Navigator, GetAccept, and Pandadoc to drive efficiency and performance • Develop strong business acumen and a deep understanding of marketing and sales processes to position Leadfeeder as a strategic solution to your prospects’ challenges • Become an expert in our value propositions, target market, and target personas

Role Description Leadfeeder is excited to be experiencing a level of growth where we are seeking a new Account Executive who will take a consultative approach, engaging with prospects by helping them identify their challenges and how our solutions can be a strategic asset to their needs. Collaborative, passionate, autonomous and supportive are some of the key words we use to describe ourselves and our team. Responsibilities - Own the entire new business sales process, from prospecting to closing, for prospects across the Benelux region. - Take full responsibility for building and managing your pipeline. While we provide solid lead coverage, daily multi-channel prospecting (via phone, LinkedIn, and email) is essential. - Leverage a modern sales tech stack including Salesforce, Leadfeeder, Outreach, Momentum, Sales Navigator, GetAccept, and Pandadoc to drive efficiency and performance. - Develop strong business acumen and a deep understanding of marketing and sales processes to position Leadfeeder as a strategic solution to your prospects’ challenges. - Become an expert in our value propositions, target market, and target personas. Qualifications - 2+ years of success as an Account Executive with a strong sales track record. - Fluency in Dutch and English; any other additional language is a bonus. - Experience in Outbound B2B Sales; SaaS is an advantage. - Experience with Salesforce, Outreach, Digital Sales Rooms is an advantage. - Passionate and enthusiastic about sales and marketing tech. - Skilled in Challenger sales / Gap Selling / Solution Selling and Execution of Sales Methodologies. Benefits - A high performing team that supports each other and celebrates success together. - AI-driven digital tools with huge sales potential in a growing market. - Competitive salary and commission scheme. - Attractive benefits and rewards. - Flexibility to work from home or in the office. - Team events. - Mental Health support with Auntie. - Annual company retreats in sunny locations and team off-sites.