Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, build, and automate large-scale multi-cloud infrastructure and internal SRE tools. Improve host lifecycle, observability, alerting, and reliability; operate containerized workloads; participate in on-call rotations, incident response, runbooks, postmortems, code reviews, and mentoring.

The role involves managing cross-functional projects for customer onboarding of the SIEMaaS program, ensuring communication and coordination among teams, and driving project success.

The Senior Product Marketing Manager leads portfolio-level positioning and messaging, drives go-to-market narratives, and collaborates with executives to create compelling stories and materials that highlight Elastic's offerings in search, security, and observability.

The role involves designing, building, and automating network infrastructure for Elastic's global services, focusing on reliability and operational excellence while enhancing customer experience through proactive problem management.

The Principal Product Marketing Manager will craft narratives for Elastic Observability, drive go-to-market strategies, enable sales, and represent Elastic at industry events.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

The Senior HR Analyst will transform complex recruiting data into actionable business strategies, automate reporting, ensure data quality, and build scalable analytics to enable self-service insights.

As a Mid Market Account Executive, you will drive the adoption of Elastic's AI-powered solutions, deepen engagement with existing customers, and identify new business opportunities while collaborating with various business functions to enhance customer experience.

The role involves driving sales in SLED Enterprise accounts, building pipeline, conducting discovery, delivering demos, negotiating deals, and collaborating across teams.

Design and build autonomous, enterprise-grounded AI agents and workflows using the Elastic Stack, RAG, and LLMs. Integrate models with internal APIs and SaaS, manage deployment and scaling on cloud/Kubernetes, ensure security/compliance, document systems, and provide technical leadership for agent lifecycle and performance optimization.