Top Tech Jobs & Startup Jobs

Targets and closes new business with Fortune 100 and other strategic enterprise accounts. Develops outbound prospecting strategies, builds multi-threaded relationships, cross-sells product suites, negotiates enterprise contracts, demonstrates ROI, manages account growth, and maintains accurate forecasts. Requires enterprise SaaS or IT infrastructure sales experience, strong pipeline-generation skills, and regular travel to client sites.

Leads, hires, coaches, and develops Enterprise Sales Executives responsible for new and expansion bookings. Owns enterprise quota attainment, sales productivity, forecasting, complex negotiations, executive relationships, regional go-to-market strategy, and collaboration with Marketing, Product, and Customer Success. The role requires enterprise B2B technology sales experience, Fortune 1000 account engagement, C-level IT selling, quota management, and regular travel to client sites.

Own the roadmap, lifecycle, adoption, governance, and performance measurement of GTM data products and sales productivity tools. Partner with Sales, Customer Success, Engineering, Data, and Enablement teams to define requirements, evaluate build-versus-buy decisions, integrate Salesforce and other GTM systems, and launch AI-powered capabilities. Establish product operating standards, measure ROI and adoption, improve data quality, and drive tooling investments across the sales and customer success organization.

Manage and support Datadog’s learning technology ecosystem, including LMS administration, Tier 2 and Tier 3 troubleshooting, vendor issue coordination, platform upgrades, release testing, documentation, integrations, permissions, enrollments, reporting, and data quality. The role also supports automation and AI adoption while coordinating integrations with HRIS, identity management, content providers, and reporting platforms.

Lead, hire, and coach a team of Enterprise Key Account Executives responsible for new business and annual bookings quotas. Manage productivity metrics, forecasting, complex enterprise negotiations, executive relationships, and regional go-to-market strategy. Collaborate with Marketing, Product, and Customer Success on targeted messaging and customer journeys, while supporting client meetings and traveling regularly to customer sites.

Owns workstreams within global technical solutions enablement programs, tracking engagement, measuring adoption, coordinating stakeholders, analyzing program data, and communicating insights. The role supports program plans, timelines, presentations, needs assessments, and cross-functional deliverables while developing the skills to lead full enablement programs.

Leads cross-functional technical programs supporting customer-facing Technical Solutions teams. Responsibilities include coordinating stakeholders, dependencies, timelines, risks, and requirements; maintaining project documentation and status visibility; using data to track milestones and guide decisions; applying AI tools to improve workflows; communicating with technical and non-technical stakeholders; and driving process improvements across moderately complex programs.

Leads Datadog’s recruiting operations, technology, systems, and AI enablement strategy for a recruiting organization of approximately 200 professionals. Owns the recruiting technology roadmap, automation, AI governance, data workflows, vendor relationships, and platform adoption. Partners with Recruiting, Engineering, IT, Security, Finance, People Technology, analytics, and executives to improve recruiter productivity, hiring quality, compliance, and user experience while leading multidisciplinary teams and organizational transformation.

Targets and closes new business with Fortune 1000 and other strategic customers. Builds enterprise relationships, uncovers cloud-scale technology challenges, sells Datadog solutions, negotiates pricing, expands existing accounts, develops pipelines, and maintains accurate forecasts. Requires enterprise technology sales experience, strong prospecting and closing skills, large-deal experience, and regular travel to client sites.

Own and improve product development operations, launch processes, cross-functional workflows, product knowledge, and enablement. Build AI-powered agents and automated workflows, maintain launch visibility, analyze product and customer signals, and provide actionable recommendations to product leadership. Collaborate across Product, Engineering, Marketing, Sales, Customer Success, and Support to improve alignment, efficiency, and operational excellence.