Strategic Solutions & Market Expansions Lead - EMEA

Causaly is redefining how humans acquire knowledge and develop insights in biomedicine. Our AI-powered platform enables researchers and decision-makers to discover and interpret evidence from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes.

We are building the world’s most advanced biomedical knowledge platform, powered by a high-precision Knowledge Graph and GenAI capabilities. Our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery, improve safety, and drive better decision-making.

Backed by top-tier investors including ICONIQ, Index Ventures, Pentech, and Marathon, we are scaling rapidly and expanding our product suite and market presence. 

Causaly is hiring a Strategic Solutions & Market Expansion Lead to incubate and validate new growth opportunities at the intersection of product, go-to-market, and enterprise customers.

This role focuses exclusively on new territory — new capabilities, solution lines, integrations, or market segments — where customer demand goes beyond what our product supports out of the box. The mandate is to turn ambiguous enterprise demand into scalable, repeatable solution plays, drive executive decision-making, and then hand those plays into BAU teams once validated.

You will work directly with Causaly’s executive leadership, as well as senior customer stakeholders, to shape strategic partnerships, solution strategy, and productization decisions.

We are hiring two people into the same role, with different strengths (one more technical/solutions-oriented, one more market/GTM-oriented). Both roles report to the VP, Markets & Solutions and operate with significant autonomy.

• Own intake and shaping of strategic enterprise opportunities that require new capabilities, integrations, packaging, or market positioning.

• Drive executive decisioning on whether to pursue, park, or decline opportunities, with clear rationale, options, and implications.

• Maintain a clear boundary between incubation work and BAU; ensure this team is only engaged where something new must be created.

• Lead high-stakes discovery with senior customer stakeholders to define target state, success criteria, and constraints.

• Translate ambiguous asks into a solution concept and delivery path, including scope boundaries, sequencing, timelines, risks, dependencies, and mutual commitments.

• Shape expectations and commercial framing to ensure scalable commitments (what is standard, what is configurable, what requires investment, and what is out of scope).

• Turn recurring demand into solution playbooks, including:

• Offering definition and packaging

• Qualification and fit criteria

• Scoping templates and success plans

• Delivery blueprints and enablement assets

• Standardise complex offerings (e.g. Private Data and enterprise integrations) into productised motions with clear patterns, governance, and pilot-to-rollout pathways.

• Partner with Product, Engineering, and Data to define feasibility options and reference architectures, and surface clear productisation and investment recommendations.

• Co-sponsor a small number of lighthouse opportunities with Sales to validate new solution plays.

• Orchestrate early cross-functional work (pilot design, governance, decisioning) with the explicit goal of making the play transferable and repeatable, not owning delivery long-term.

• Drive clean handoff of validated plays into BAU (Sales, CS, Delivery, Product), including training, assets, decision trees, and ownership clarity.

• Maintain a structured feedback loop into Product on productisation candidates, investment needs, and learned constraints from enterprise demand.

• Experience operating at the intersection of enterprise customers, product strategy, and go-to-market; comfortable shaping ambiguous asks from senior enterprise customers into scalable solutions.

• Strong fit from one of the following backgrounds:

• Background in enterprise SaaS, data platforms, or complex system integrations.

• Experience with AI strategy, data ingestion, or platform-level capabilities.

• Exposure to market expansion, new segment GTM, or solution incubation.