Product Strategy and Corporate Development Lead (EMEA)
Indexed description
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 You’ll Do: (Describe role responsibilities here)
- 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
- 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
- Generous and competitive global benefits
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Product training to develop deep understanding of Datadog's platform
- Internal mentor and buddy program
- Friendly and inclusive workplace culture
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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