The opportunity
Datadog’s Technology Partnerships team builds and scales partnerships with the technology companies that matter most to our customers from AI/ML platforms to data platform providers. As a Technology Partner Manager, you will own the full, 360-degree relationship with a portfolio…
What you'll do
° Relationship Ownership: Own the end-to-end partner relationship for a portfolio of AI/ML and Data Platform technology partners, serving as the primary point of contact and trusted advisor across product, engineering, marketing, and sales stakeholders on both sides.
Co-Build: Partner closely with Datadog Product and Engineering teams to: identify, prioritize, and drive joint integration roadmaps; ensure integrations are built, launched, and continuously improved to meet customer needs.
Co-Market: Design and execute joint marketing programs including webinars,: blog posts, customer case studies, launch campaigns, and event collaboration with Datadog product marketing and partner marketing teams to build awareness and demand for joint solutions.
Co-Sell: Build and execute go-to-market and co-sell plans with Datadog: channel team, partner field and sales teams; enable Datadog’s global sales organization and partner sellers on joint value propositions, use cases, and co-sell motions to drive pipeline and revenue.
Program Management: Track partnership commitments, joint business plans, and success metrics across the co-build, co-market, and co-sell pillars; report regularly to leadership on partnership health, pipeline, and revenue impact.
Cross-Functional Orchestration: Act as the connective tissue between partners and internal Datadog teams including Product, Engineering, Marketing, Sales, and Channels & Alliances to keep joint initiatives moving and unblock issues quickly.
What they're looking for
- Bachelor’s degree in Computer Science, Business, or a related field; an MBA is a strong plus.
- + years of experience in technology partnerships, alliances, partner: management, or business development at a software, cloud, or SaaS company.
- Experience managing the full partnership lifecycle including: technical/product collaboration, marketing programs, and sales/co-sell motions
- Comfortable working with technical products; able to understand integration: architectures and translate them into clear business value for marketing and sales audiences.
- Familiarity with the AI/ML and/or data platform ecosystem (e.g., LLM: providers, vector databases, data warehouses, data pipeline and orchestration tools)
- Proven ability to build trusted relationships with external partners and: internal stakeholders across Product, Engineering, Marketing, and Sales.
- Strong program and project management skills; able to juggle multiple partner: relationships and initiatives simultaneously while maintaining attention to detail.
- Excellent written and verbal communication skills; able to create compelling: partner-facing and internal enablement materials.