Clinicians and nurses work under heavier pressure than ever. More patients, more data, more decisions to make. kaiko give them back the focus, time, and headspace they need to give patients the best possible care.
kaiko is a European clinical AI lab, and one of the only companies working across the full stack. Our approach spans three layers: our own frontier models, a clinical AI workspace built for complex hospital needs, and workflows ranging from preparation and decision support to diagnostics and interpretation.
Our product is in daily use at leading European hospitals, reducing preparation time and cognitive workload for clinical teams. The next decade of European healthcare will be shaped by AI. We're here to shape it in the best way possible. kaiko is a well-funded company with a growing international team, operating from Amsterdam and Zurich.
kaiko's marketing strategy is built on high-touch engagement with a defined set of priority hospitals rather than mass-market acquisition. The Revenue Marketing Lead is the operational backbone of that strategy.
You'll establish kaiko's account-based marketing function and pipeline measurement infrastructure from the ground up. The focus is running coordinated, multi-touch campaigns against named hospitals across European markets. You'll own HubSpot, run paid LinkedIn calibrated to named-account engagement, partner with sales on hand-off and attribution, and own the metrics that prove marketing is contributing to pipeline.
This is not a classic demand gen role. The funnel is narrow and named, the pipeline is long, and the work is account orchestration, sales partnership, and rigorous measurement, not mass acquisition or funnel optimization at scale.
Your program also runs on the content engine's output. You partner closely with our Content Lead, turning articles, customer stories, video, and executive narratives into sequenced, account-level touch programs.
You will be based in The Netherlands, with the expectation of spending at least 50% of your time at the office.
Build and run kaiko's account-based marketing function: target list management, named-account campaigns, content sequencing, engagement tracking, and sales hand-off.
Own the account-to-moment loop. Before each high-touch moment, decide which accounts and personas to bring in. After, run the multi-touch follow-up that converts attention into account engagement and hands warm accounts to sales.
Plan and manage paid LinkedIn campaigns against named accounts and personas, with creative calibrated to high-touch engagement, not generic awareness.
Own HubSpot end to end for marketing: account-level tracking, lifecycle stages, nurture flows, attribution, and UTM tagging. You configure it yourself.
Define and own marketing-sourced and marketing-influenced pipeline metrics. Partner with sales on lead hand-off, account prioritization, and weekly pipeline reviews.
5 to 8 years in account-based marketing, revenue marketing, or demand generation at B2B SaaS companies with complex products and long sales cycles. ABM-focused backgrounds preferred. Reference backgrounds: enterprise or complex-sale B2B where deals are won account by account rather than by lead volume, for example Snowflake, Gong, 6sense, Demandbase, or dedicated ABM programs.
A track record of running ABM programs against a defined target account list, with multi-channel orchestration and structured sales hand-off.
Hands-on HubSpot expertise. You've configured the platform yourself rather than relying on an ops team. Significant paid LinkedIn experience, optimized for account-level intent and engagement signals rather than only click metrics.
Experience defining and reporting marketing-sourced and marketing-influenced pipeline to leadership, including for high-touch outcomes where attribution is complex.
A self-starter who operates with limited direction. You set your own brief, prioritize, and ship without waiting for a perfect spec.
An account-thinker with a commercial mindset. You think in named accounts and long cycles, not lead volumes or click-through rates. Pipeline is the unit of value.
Familiarity with healthcare, life sciences, or AI sectors.
Working knowledge of Dutch or German.
We are excited to gather a broad range of perspectives in our team, as we believe it will help us build better products to support a broader set of people. If you’re excited about us but don’t fit every single qualification, we still encourage you to apply: we’ve had incredible team members join us who didn’t check every box!
At kaiko, we believe the best ideas come from collaboration, ownership and ambition. We’ve built a team of international experts where your work has a direct impact. Here’s what we value:
Ownership: You’ll have the autonomy to set your own goals, make critical decisions, and see the direct impact of your work.
Collaboration: You’ll have to approach disagreement with curiosity, build on common ground, and create solutions together.
Ambition: You’ll be surrounded by people who set high standards for themselves and others, who see obstacles as opportunities, and who are relentless in their work to create better outcomes for patients.
In addition, we offer:
An attractive and competitive salary, a good pension plan, and 25 vacation days per year.
Great offsites and team events to strengthen the team and celebrate successes together.
A EUR 1000 learning and development budget to help you grow.
Autonomy to do your work the way that works best for you, whether you have a kid or prefer early mornings.
An annual commuting subsidy.
Our interview process is designed to assess mutual fit across skills, motivation, and values. It typically includes the following steps:
Screening call: A short conversation to align on your motivation, professional goals, and initial fit for the role.
Team interview: You’ll meet team members across functions to explore collaboration dynamics, team fit, and day-to-day context.
Technical interview: A deep dive into your problem-solving approach through a technical challenge, case study, or role-specific scenario.
Final executive conversation: A discussion with a member of the executive team focused on long-term alignment and shared expectations for impact.
At kaiko.ai, we’re developing a multimodal clinical assistant for cancer care.
Built on foundation models trained in close collaboration with academic R&D partners, the assistant’s interface helps cancer care teams quickly synthesize complex medical data, offering timely insights to support critical decisions for each patient.
Currently in testing, we are working with teams across various cancer care specialties to develop and deploy the latest AI capabilities for clinical use:
• Distilling critical information from text, images and molecular data
• Linking modalities through multimodal foundation models for oncology
• Facilitating diagnosis and treatment planning
We're refining our approach through close partnerships with leading institutions like the Netherlands Cancer Institute (NKI-AVL), merging clinical expertise with technological innovation.
Born in Amsterdam in 2021, Kaiko has grown into a dynamic and multidisciplinary team spanning Amsterdam and Zurich.
