Top Tech Jobs & Startup Jobs in NYC, NY

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, retrieval, query execution, and relevance. Research advances in search systems and algorithms, guide long-term technical roadmaps, collaborate across teams, mentor expert engineers, and contribute hands-on to high-performance distributed software. Serve as a subject-matter authority while driving projects from concept through completion.

Lead Elasticsearch performance engineering from architecture through production. Develop performance models, optimize distributed systems, profile bottlenecks, build benchmarks, detect regressions, and improve scalability across stateful and serverless architectures. Design AI-assisted optimization and benchmarking tools, collaborate across teams, define performance strategies, and mentor engineers. The role requires deep Java, JVM, concurrency, distributed systems, and search or data-store performance expertise.

Develop and optimize Elasticsearch performance across distributed and serverless architectures. Responsibilities include implementing performance models, profiling systems, identifying bottlenecks, building benchmarks and regression detection, improving logging, metrics, vector search, and ES|QL performance, and creating AI-assisted optimization tools. The role also involves architectural and code-level optimization, technical analysis, peer reviews, and guidance for fellow engineers.

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.

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.

Design, implement, and optimize Elasticsearch core storage and query engine components for observability workloads. Drive architectural improvements, resolve performance bottlenecks in indexing and serialization, optimize data layouts for object storage, lead cross-organizational initiatives, mentor engineers, triage community issues, and write idiomatic modern Java in a distributed team.

Drive architecture and technical vision for Elasticsearch core storage and query engine. Lead performance and storage-efficiency improvements, design indexing/serialization/data layouts, mentor engineers, coordinate cross-organizational initiatives, triage community issues, and write idiomatic modern Java for logs and metrics workloads.

Lead vision, strategy, and execution for an Agent Builder product that enables context for AI agents. Work with customers, sales, engineering, data science, and cloud partners to define roadmap, benchmark agent capabilities, design UX, and evangelize solutions to developers and enterprise customers.

Serve as a Senior Business Systems Analyst for Services and Education, owning Certinia (FinancialForce) PSA design and optimization on the Salesforce platform. Translate business needs into functional requirements, lead testing and documentation, manage integrations (e.g., NetSuite ERP), and partner with stakeholders to deliver scalable PSA solutions, automation, and process improvements.