Datadog For Startups Engineering Lead
The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. As the DDFS Engineering Lead, you’ll combine technical sales engineering expertise with ecosystem growth leadership to attract top startups into the program, showcase
What this role actually needs.
The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. As the DDFS Engineering Lead, you’ll combine technical sales engineering expertise with ecosystem growth leadership to attract top startups into the program, showcase Responsibilities: - Validate startup technical needs and current tooling during pre-program discovery. - Deliver tailored demos that highlight Datadog’s differentiators, quick wins, and startup relevance (AI, infra scaling, security). - Answer competitive engineering questions and position Datadog effectively against alternatives. - Create urgency for adoption so startups realize value quickly within their credits period. - Ensure a smooth technical onboarding experience by removing friction and showcasing “aha” moments. - Help manage FDE engineering projects that are embedded directly with client sites, deeply understanding workflows, pain points, and business processes. Requirements: - 5–7 years in sales engineering, solutions architecture, technical BD, forward-deployed engineer, software engineering at a SaaS/cloud company. - Strong understanding of modern startup tech stacks, including cloud infrastructure, application frameworks, data platforms, and developer tooling - Proven experience engaging with startups, founders, VCs, technical decision-makers and audiences. - Excellent communication skills: equally effective in technical deep-dives and business-level storytelling. - Builder: eager to shape a hybrid BD + technical role in a fast-scaling program while also able to get hands on and build both for DDFS and with startups using Datadog. - Storyteller: able to translate technical differentiators into startup-relevant business value. Benefits: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, including Community Guilds (employee resource groups) - Access to Inclusion Talks and internal panel discussions - Free, global Spring Health benefits for employees and dependents age 6+ - Competitive global benefits and giving programs Company context: Datadog operates a cloud observability and security platform with meaningful hiring across infrastructure, security, AI, and developer tooling.
Day-to-day expectations
Datadog lists these responsibilities for the Datadog For Startups Engineering Lead role.
- Validate startup technical needs and current tooling during pre-program discovery.
- Deliver tailored demos that highlight Datadog’s differentiators, quick wins, and startup relevance (AI, infra scaling, security).
- Answer competitive engineering questions and position Datadog effectively against alternatives.
- Create urgency for adoption so startups realize value quickly within their credits period.
- Ensure a smooth technical onboarding experience by removing friction and showcasing “aha” moments.
- Help manage FDE engineering projects that are embedded directly with client sites, deeply understanding workflows, pain points, and business processes.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 5–7 years in sales engineering, solutions architecture, technical BD, forward-deployed engineer, software engineering at a SaaS/cloud company.
- Strong understanding of modern startup tech stacks, including cloud infrastructure, application frameworks, data platforms, and developer tooling
- Proven experience engaging with startups, founders, VCs, technical decision-makers and audiences.
- Excellent communication skills: equally effective in technical deep-dives and business-level storytelling.
- Builder: eager to shape a hybrid BD + technical role in a fast-scaling program while also able to get hands on and build both for DDFS and with startups using Datadog.
- Storyteller: able to translate technical differentiators into startup-relevant business value.
Why people would want this job
Datadog published these compensation, benefits, or working-context details with the role.
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, including Community Guilds (employee resource groups)
- Access to Inclusion Talks and internal panel discussions
- Free, global Spring Health benefits for employees and dependents age 6+
- Competitive global benefits and giving programs
Why this listing is more than a copied job post.
Datadog For Startups Engineering Lead is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
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- Tailor your resume around ai and security instead of sending a generic application.
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Open the source listing from careers.datadoghq.com, confirm the role is still active, then apply on the employer or ATS page.
Source: careers.datadoghq.com · Source ID: 7536402 · Confidence: 93/100 · Last checked: May 7, 2026
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