Top Tech Jobs & Startup Jobs in NYC, NY

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Hybrid
New York City, NY, USA
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106K-209K Annually
Mid level
106K-209K Annually
Mid level
Big Data • Cloud • Software • Database
Join the MongoDB Query team to improve the query engine, implement features, and work on data-intensive problems related to query performance.
Top Skills: AlgorithmsData StructuresDatabase SystemsGeospatial SearchMongoDBSoftware Design
Reposted 3 Days AgoSaved
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Hybrid
New York City, NY, USA
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126K-248K Annually
Senior level
126K-248K Annually
Senior level
Big Data • Cloud • Software • Database
The Senior Software Engineer will design and build core components of a distributed data processing platform, mentor engineers, and contribute to architectural decisions while enhancing scalability and security.
Top Skills: GoJavaKubernetesObservability Tools
Reposted 4 Days AgoSaved
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Hybrid
New York City, NY, USA
Easy Apply
150K-150K Annually
Senior level
150K-150K Annually
Senior level
Big Data • Cloud • Software • Database
As an Enterprise Account Executive at MongoDB, you will grow accounts, manage sales cycles, and develop strategic planning to achieve revenue targets.
Top Skills: OutreachSales NavigatorSalesforceSendosoZoominfo
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Hybrid
New York City, NY, USA
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115K-226K Annually
Expert/Leader
115K-226K Annually
Expert/Leader
Big Data • Cloud • Software • Database
The Director of Executive Communications will lead and shape MongoDB's executive communication strategies, strengthen internal and external narratives, and provide strategic counsel to senior leadership on communication and visibility.
Reposted 4 Days AgoSaved
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Hybrid
New York City, NY, USA
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83K-162K Annually
Mid level
83K-162K Annually
Mid level
Big Data • Cloud • Software • Database
Drive strategic and operational initiatives at MongoDB by collaborating with internal teams, developing business plans, and conducting analyses to enhance decision-making.
Top Skills: ExcelGoogle SlidesPowerPointPythonRSQL
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Reposted 4 Days AgoSaved
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
203K-399K Annually
Expert/Leader
203K-399K Annually
Expert/Leader
Big Data • Cloud • Software • Database
Lead the development and scaling of the AI Applications Platform, overseeing product vision, R&D, and business strategy for a high-performance team.
Top Skills: Ai FrameworksAPIsCloud/SaasEmbeddingSdksVector Databases
Reposted 4 Days AgoSaved
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Hybrid
New York City, NY, USA
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111K-218K Annually
Mid level
111K-218K Annually
Mid level
Big Data • Cloud • Software • Database
The Site Reliability Engineer designs and builds infrastructure for a global cloud service, implements automation, and optimizes system performance while managing on-call operations.
Top Skills: AWSDnsGCPHTTPKubernetesLinuxAzureProgramming LanguagesTls
5 Days AgoSaved
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Hybrid
New York City, NY, USA
Easy Apply
118K-231K Annually
Senior level
118K-231K Annually
Senior level
Big Data • Cloud • Software • Database
Design, build, and maintain scalable Salesforce CRM solutions including custom development, automation, integrations, CI/CD, and production support. Partner with stakeholders to translate requirements, drive engineering best practices, troubleshoot complex issues, mentor junior staff, and improve platform governance, performance, and long-term scalability.
Top Skills: AgentforceApexAPIsCi/CdClaude CodeCursorEtl ToolsFlowsGithub CopilotJavaScriptLightning Web Components (Lwc)SalesforceSOQL
5 Days AgoSaved
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Hybrid
New York City, NY, USA
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140K-275K Annually
Senior level
140K-275K Annually
Senior level
Big Data • Cloud • Software • Database
Senior operator to design and run the operating system for a 300+ person global marketing org. Own meeting cadence, workback planning, risk management, cross-functional alignment, strategic initiatives, budget and headcount governance, executive communications, and milestone tracking to ensure decisions are timely and evidence-driven.
Top Skills: AgentsAIAutomation
5 Days AgoSaved
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Remote or Hybrid
2 Locations
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109K-215K Annually
Senior level
109K-215K Annually
Senior level
Big Data • Cloud • Software • Database
Lead and scale global recruiting operations including systems, analytics, program management, enablement, candidate experience, and tooling. Build operating rhythms, forecasting, headcount planning, and governance. Drive recruiting technology roadmap, AI/automation adoption, and system selection. Improve delivery model, data quality, and measurable outcomes while building a high-performing team and partnering with TA, HR, Finance, and business leaders to support hiring plans and organizational priorities.
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