Top Tech Jobs & Startup Jobs

Drive net-new Mid Market SaaS revenue by building outbound pipeline, qualifying opportunities with MEDDPICC, delivering executive demos/value stories, negotiating multi-year consumption deals, and partnering with Solutions Architects, Customer Success, Marketing, and RevOps to close complex, multi-stakeholder opportunities.

Design and build autonomous, enterprise-grounded agentic workflows using RAG and ESRE. Integrate and fine-tune LLMs with internal APIs and SaaS tools. Provision scalable cloud infrastructure via Terraform, implement CI/CD, secure network architectures, and deploy observability and tracing to monitor agent behavior. Provide technical leadership, documentation, and enable internal teams to leverage the Elastic Stack for automated business task completion.

Plan, produce, and govern demand-generation content for enterprise SaaS: write, edit, and adapt assets (including agency- and AI-built content); manage publishing calendar in Adobe Workfront; monitor performance with GA4, SEMRush AIO, and Looker; optimize SEO and discoverability; coordinate cross-channel distribution with campaigns, SEO, social, product marketing, and paid media.

Drive pipeline by engaging inbound and outbound French-speaking prospects, qualify opportunities, collaborate with Account Executives and Marketing, use sales technologies to research and personalize outreach, and learn Elastic's AI-powered search platform while iterating via coaching and feedback.

The Federal Account Executive will drive the adoption of Elastic’s AI-powered search solutions, engage with Department of Treasury customers, and develop business plans to enhance growth and customer insights.

Build and maintain developer-facing integrations for Elastic's AI platform: MCP server, agent skills, CLI, and third-party integrations. Develop in Go (and Rust), design tooling, ensure correctness through evals, collaborate with product and partners, and improve developer experience across ecosystems.

Build and evolve the Elastic MCP server and tooling (primarily in Go), create a portable platform for agent skills, design third-party AI ecosystem integrations, enhance the Elastic CLI, and develop/maintain libraries and integrations (including Rust). Drive correctness via evals, collaborate with product and external partners, and prioritize developer experience and product thinking across fast-changing, ambiguous work.

Build and evolve the Elastic MCP server, agent skills platform, and developer-facing integrations (language clients, CLI, third-party integrations). Implement tooling, linting, and eval-backed correctness, collaborate with product and external partners, and contribute across Go/Rust codebases to improve developer experience and observability.

Lead AMER sales enablement by diagnosing performance gaps using Gong/Salesforce/Clari data, designing targeted remediation, delivering blended training (MEDDPICC, value selling, pipeline forecasting, GenAI usage), embedding methodology through deal clinics, driving tool adoption, measuring enablement impact with RevOps, and partnering cross-functionally to connect training to sales outcomes.

Build and evolve Elastics Integrations platform: MCP server, universal agent skills tooling, third-party AI ecosystem integrations, and developer-facing libraries and CLI. Work mainly in Go (and Rust), shape eval-backed correctness, collaborate with product and external partners, and prioritize developer experience.