Product Strategy and Corporate Development Lead (EMEA)

The shape of it

In the posting’s own words

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What it asks for · 6

• 3-7 years of experience in corporate development, venture capital, engineering, or product management at a high-growth technology company
• Demonstrated technical depth: you can analyze a product deeply (how it would relate to ours and develop a working understanding of the architecture), and engage credibly with Product and Engineering leaders. This may come from a CS/engineering degree, prior engineering experience, or deep AI/infrastructure investing experience
• Strong AI literacy: you actively use AI tools in your daily work, can speak to current trends in AI/ML infrastructure, and can evaluate the technical merit of AI-native companies
• Experience covering or operating within European tech markets (Paris, London, and/or Iberia strongly preferred); background at an AI-native company (e.g., building or investing in AI infrastructure, LLM tooling, or applied AI) is a strong plus
• Self-starter who thrives with high autonomy and limited oversight in a fast-paced, ambiguous environment, with a track record of sourcing proprietary opportunities through personal networks
• Capable of engaging senior stakeholders, from startup founders to Datadog's C-suite, with credibility and confidence; genuine curiosity about what makes a company's technology defensible, not just its market position

What the job covers

• Be close to our Product & Engineering leaders to discover new areas of interest and acceleration before an M&A target is even identified, and stay ahead of market trends in AI/ML, observability, security, and cloud infrastructure to inform Datadog's growth strategy
• Identify and evaluate M&A targets and venture investment opportunities across European markets, with a focus on AI-native and infrastructure companies
• Build deep relationships with founders, VCs, and accelerators across the Paris, London, and Iberian ecosystems to generate proprietary deal flow
• Lead end-to-end due diligence: technical product assessments, financial modeling, valuation analysis, and integration planning
• Partner with senior engineering and product leaders to assess technical architectures, product fit, and team quality of target companies
• Negotiate and close complex transactions, including acquisitions, investments, and hyperscaler partnerships, and develop strategic recommendations to present to senior leadership including the CEO

Degree language

• Demonstrated technical depth: you can analyze a product deeply (how it would relate to ours and develop a working understanding of the architecture), and engage credibly with Product and Engineering leaders. This may come from a CS/engineering degree, prior engineering experience, or deep AI/infrastructure investing experience

Tools and skills named

Words the posting leans on

• product11×
• engineering7×
• markets5×
• technical5×
• experience4×
• infrastructure4×
• ai-native3×
• deep3×
• engineering leaders3×
• founders3×
• investments3×
• senior3×
• target3×
• technology3×
• venture3×
• architecture2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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