Top Tech Jobs & Startup Jobs in NYC, NY

Serve as the technical authority for sales teams, customers, and partners across an assigned territory. Develop customer relationships, understand business goals, design architectures, demonstrate Elastic products, support sales cycles, enable partners, create collateral, and communicate customer needs to engineering and leadership. The role requires technical presales expertise, strong communication and influencing skills, continuous learning, and 30% regional travel plus occasional international travel.

Drive net-new revenue across mid-market accounts by owning a territory, building outbound pipeline, qualifying opportunities with MEDDPICC, delivering executive presentations and product demos, negotiating complex multi-year contracts, and closing consumption-based SaaS deals. The role requires technical fluency in cloud economics, observability, security, search, and modern data architectures, along with accurate forecasting and cross-functional collaboration with Solutions Architecture, Customer Success, Marketing, and RevOps.

Own a defined mid-market territory, generate pipeline through outbound prospecting, qualify opportunities using MEDDPICC, deliver executive presentations and product demos, negotiate complex multi-year SaaS contracts, and close consumption-based deals. The role requires technical fluency in cloud economics, observability, security, search, and modern data architectures, along with accurate forecasting and collaboration with Solutions Architects, Customer Success, Marketing, and RevOps.

Develop and operate IAM services powering Elastic Cloud and on-premises offerings. Responsibilities include backend software development, technical design, production debugging, incident response, customer issue resolution, security and reliability improvements, and on-call participation. The role involves distributed systems, containers, virtualization, microservices, cloud platforms, Kubernetes adoption, and collaboration across globally distributed engineering teams.

Leads marketing and sales analytics strategy, architecture, and measurement. Builds data models, pipelines, machine learning datasets, attribution and incrementality models, and revenue-performance analyses. Advises leaders on investments, tools, account prioritization, and funnel economics. Establishes data, metric, testing, and privacy standards; partners with Marketing, Sales, Finance, Revenue Operations, Data Engineering, and IT; plans roadmaps; presents recommendations to executives; and mentors analysts and engineers.

Own the strategy and roadmap for Elastic’s Streams telemetry pipeline, including data collection, ingestion, processing, routing, and integrations. Lead a distributed product management team, define adoption KPIs, develop self-service ingestion capabilities, collaborate across Observability, Security, and Search, engage customers and the community, and support engineering, design, sales, marketing, and partners with product direction and messaging.

Design, develop, debug, and improve Elastic’s cloud control-plane offerings. The role involves guiding cross-team architecture, leading development best practices, creating technical plans, diagnosing complex failures, prioritizing fixes and features, and collaborating with Support and Elasticsearch engineering teams. The engineer will contribute to reliable, scalable SaaS foundations while providing pragmatic technical leadership across a distributed engineering organization.

Own and improve billing APIs and full-stack Elastic Cloud console features. Lead projects from design through delivery, contribute to API architecture, improve observability and reliability, review code, mentor engineers, collaborate cross-functionally, and participate in on-call rotations. The role requires building scalable customer-facing systems across cloud infrastructure and supporting SaaS billing experiences in a distributed environment.

Own and improve global billing data pipelines and backend services using Python and PostgreSQL. Design reliable, scalable systems for usage ingestion, transformation, reconciliation, invoicing, and revenue records. Lead projects, optimize database performance, improve monitoring and incident response, participate in reviews and on-call rotations, mentor engineers, and help shape technical priorities. Collaborate with Product, SRE, and Cloud Infrastructure teams in a distributed environment.

Lead competitive benchmarking for Elasticsearch across search, vector retrieval, analytical, and observability workloads. Build automated benchmark harnesses, datasets, query sets, and load profiles; design fair, reproducible comparisons; analyze latency, throughput, resource use, cost, and retrieval quality; investigate performance differences through profiling and controlled experiments; and translate findings into engineering improvements and technical publications.