The opportunity
The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in…
What you'll do
Run discovery calls with startup CTOs and engineering leads to identify quick: wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse
Deliver tailored Datadog demos and help startups get instrumented quickly -: removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security
Build automation to improve internal team workflows: EX: outreach, reporting, the application process, and website updates
Represent Datadog for Startups at accelerator demo days, hackathons,: conferences, founder dinners, and workshops across San Francisco
Build relationships across SF's startup ecosystem: founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for technical founder audiences
+ years in solutions architecture, pre-sales engineering, technical: consulting, or a similar customer-facing technical role at a SaaS or cloud company, with broad fluency across cloud infrastructure, containers, Kubernetes, CI/CD, and modern application frameworks
What they're looking for
- A tinkerer with genuine, personal interest in AI and emerging technologies -: you've used tools like Claude, ChatGPT, Codex, or Cursor outside of work and follow what's happening with agentic workflows, vibe coding, and codegen because you find it interesting
- Consultative mindset: you do the overview first, then go deep. You identify customer needs and quick wins in a first conversation, not just recite product features
- Strong presence and communication skills: you can command a room of technical founders, run a compelling demo, and hold your own in an unscripted conversation with a CTO
- Adaptable and flexible: comfortable shifting between contexts, priorities, and audiences quickly, and thrive in ambiguity on a small, lean team
