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 Datadog’s value early, and position Datadog as an essential platform for scaling.

This role is ideal for someone who thrives at the intersection of startups, business development, technical evangelism, and software engineering—comfortable running a discovery call with a CTO one day, hosting a founder networking event the next, and even helping startups get Datadog instrumented quickly.

• 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.

• Implement Datadog for clients, troubleshoot issues or connect clients to those in Datadog who can support.

• Translate technical details for business stakeholders and communicate customer needs back to product/engineering teams.

• Represent Datadog for Startups at key events (accelerator demo days, hackathons, conferences).

• Host or co-host startup-focused webinars, dinners, workshops, and founder roundtables.

• Develop messaging, collateral, and thought leadership for founders and technical teams.

• Drive inbound interest and applications through community-building efforts.

• Work with the SF DDFS Lead to build and manage relationships with accelerators, VCs, and other ecosystem partners.

• Host office hours with select referral partner portfolio companies to actively communicate DDFS perks to their portfolios.

• Help the DDFS team automate processes across the full lifecycle of startup sourcing to conversion across internal tools such as Salesforce, Marketo, etc.

• 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.

• Startup advocate: passionate about helping early-stage companies scale successfully with Datadog.

• Strong knowledge of Datadog’s product suite and observability/security ecosystem.

• A former technical founder or engineering leader at a startup.

• Experience running or speaking at startup/technical events.

• Background in developer advocacy, community building, or technical marketing.

• Knowledge of VC/accelerator ecosystems and startup go-to-market motion.

• Hands-on ability to articulate Datadog’s differentiators against competitors (Grafana, Sentry, Clickhouse, New Relic, etc.)

• CRM proficiency (Salesforce, HubSpot) and ability to manage demand-generation workflows.

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

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. 

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