Top Tech Jobs & Startup Jobs

Lead Datadog's AI corporate development by sourcing startups, supporting acquisitions, investments, and partnerships. Drive diligence, valuation, financial modeling, and integration planning while collaborating with product and engineering and building relationships across founders and VCs.

Target and close new business with large enterprise customers by prospecting, building territory relationship maps, understanding customer business drivers, negotiating pricing and terms, expanding account footprint, and maintaining accurate forecasting. Travel regularly to client sites and use value/ROI selling to win new logos and manage complex sales cycles.

The Security Sales Engineer will support the enterprise sales team, drive security product adoption, conduct demos, and provide technical support throughout the sales cycle.

Lead and scale Datadog's Forward Deployed Engineering program: define operating model, build FDE offerings, hire and develop engineers, capture field product feedback, run lightweight engineering sprints to create reusable assets, and partner with Sales/SE/Customer Success to drive customer deployments and measure impact on adoption and ARR.

Owns and grows a Federal civilian sales territory by prospecting enterprise accounts, building relationship maps, developing customer insights, negotiating contracts, expanding existing relationships, winning new logos, and accurately forecasting revenue. The role requires selling SaaS, IT infrastructure, and cloud solutions to large enterprises, achieving $1M-plus sales targets, managing $100K-plus deal sizes, and traveling regularly to client sites.

Targets and closes new business with large Fortune 1000 customers and prospects. Responsibilities include territory prospecting, relationship mapping, understanding customer needs, negotiating enterprise pricing, expanding existing accounts, building pipeline, identifying business drivers, and maintaining accurate forecasts. The role requires experience selling SaaS or IT infrastructure solutions, closing enterprise deals, achieving $1M-plus sales goals, managing $100K-plus average deal sizes, and regularly traveling to client sites.

Own technically complex, cross-functional programs spanning engineering, product, and business functions. Surface systemic risks and dependencies, maintain executive visibility, drive alignment, and deliver outcomes across technical, product, operational, and organizational initiatives. Build AI-powered automation and program infrastructure to reduce manual coordination, synthesize risks, track dependencies, and streamline program lifecycles. Partner with senior engineering and product leaders using technical judgment across observability, infrastructure, data platforms, and AI/ML systems.

Leads complex, cross-functional technical programs across engineering, product, and business teams. Identifies systemic risks and dependencies, drives executive visibility, and owns outcomes through completion. Designs AI-powered automation and self-executing program infrastructure to reduce coordination overhead, improve risk detection, and accelerate delivery. Requires strong technical credibility in observability, infrastructure, data platforms, or AI/ML systems, along with senior-level communication and stakeholder influence.

Lead end-to-end strategic sourcing for AI spend, including foundation models, AI APIs, AI SaaS, and emerging neocloud/inference compute. Negotiate high-value vendor agreements, build pricing/consumption models, partner with Engineering and Finance on commercial decisions, drive AI automation in sourcing, track KPIs, and ensure compliant execution with Legal, Security, and Procurement Operations.

Lead and grow a product management team for Datadog's Bring Your Own Cloud (BYOC). Define vision, strategy, and roadmap to enable petabyte-scale ingest, index, search, analytics, and reporting in an AI-first environment. Partner with BYOC, Log Management, BitsAI, Platform, GTM and Solution Architects to drive onboarding, security/compliance offerings, and market adoption; gather customer insights and present to industry analysts.