Top Tech Jobs & Startup Jobs in NYC, NY

One Month AgoSaved
Hybrid
New York, NY, USA
197K-246K Annually
Mid level
197K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead software engineering projects and developers building cloud-based, full-stack solutions with distributed microservices. Provide technical leadership across Agile teams, establish development standards, define service architectures, mentor engineers, and improve system performance. The role involves programming across multiple languages, databases, cloud platforms, container orchestration, APIs, CI/CD, infrastructure as code, automated testing, observability, and emerging AI-based development tools.
Top Skills: Ai Coding ToolsAsynchronous ApisAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDistributed SystemsDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLObservabilityOpen Source RdbmsPythonRest ApisRustScalaSynchronous ApisTypescript
One Month AgoSaved
Hybrid
New York, NY, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads a US Card data science team developing machine learning solutions for customer behavior prediction and valuation forecasting. Partners with data scientists, engineers, product managers, and business stakeholders; builds models through design, training, validation, evaluation, and implementation; analyzes large-scale numeric and textual data; translates technical findings into business outcomes; and develops team talent.
Top Skills: AWSCondaH2OMachine LearningPythonRRelational DatabasesScalaSpark
One Month AgoSaved
Hybrid
New York, NY, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads full-stack engineering initiatives, technology portfolios, and developer teams while designing and implementing large-scale distributed and cloud-native systems. Provides architectural leadership, shapes platform roadmaps, mentors engineers, promotes coding standards, and drives reliability, observability, performance, and regulatory solutions. Collaborates with product managers, architects, and technical leaders using modern programming languages, cloud platforms, databases, containers, CI/CD, and AI-assisted development tools.
Top Skills: Ai Coding ToolsAsynchronous ApisAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdCloud-Native SystemsDistributed SystemsDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesMicroservicesNode.jsNosql DatabasesObservabilityOpen Source RdbmsPythonRustScalaSynchronous ApisTypescript
179K-246K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead development of large-scale recommender and personalization systems using transformers, LLMs, reinforcement learning, sequence modeling, and multimodal learning. Build and evaluate foundation models and low-latency production systems using customer interaction data. Collaborate with engineering and product teams, translate research into practical applications, and support innovation in generative recommendations, conversational systems, and cross-domain personalization while developing team talent.
Top Skills: AWSContextual Multi-Armed BanditsDistributed TrainingLarge Language Models (Llms)PythonPyTorchRRecommender SystemsReinforcement LearningRelational DatabasesScalaSQLTensorFlowTransformers
One Month AgoSaved
Hybrid
New York, NY, USA
179K-246K Annually
Mid level
179K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead engineering projects and developers building distributed microservices and full-stack cloud solutions. Provide technical leadership across Agile teams, establish engineering standards, partner with architects on service design, reduce technical debt, optimize performance, and influence technology strategy. The role involves mentoring engineers and using languages such as Java, Scala, Python, Go, JavaScript, and TypeScript alongside AWS, Docker, Kubernetes, databases, APIs, CI/CD, infrastructure as code, and automated testing.
Top Skills: Ai Coding ToolsAsynchronous ApisAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLObservability ToolsOpen Source RdbmsPythonRest ApisRustScalaSynchronous ApisTypescript
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One Month AgoSaved
Hybrid
New York, NY, USA
201K-250K Annually
Senior level
201K-250K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads the Spend Controls product team within Business Cards & Payments. Owns the roadmap for pre-authorization spend limits, virtual card controls, merchant and category policies, card management, and real-time transaction decisioning. Manages product managers and analysts, partners with engineering, design, risk, and platform teams, and guides migration to modern infrastructure. Drives customer-focused product strategy, execution, prioritization, and organizational alignment.
Top Skills: AIAi AgentsClaude CodeCursorGithub CopilotModern InfrastructureReal-Time DecisioningVirtual Card Controls (Vcn)
One Month AgoSaved
Remote or Hybrid
2 Locations
183K-250K Annually
Senior level
183K-250K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead consumer growth and retention product experiences for Capital One Shopping. Own reward and activation strategy, personalization, product journeys, business cases, prioritization, analytics, operational reporting, and investment decisions. Partner closely with engineering to rapidly build, A/B test, and optimize digital experiences. Use SQL, Excel, financial modeling, user behavior insights, and AI-enabled approaches to drive product adoption, activation, retention, and business growth.
Top Skills: Artificial Intelligence (Ai)Claude CodeCodexCursorExcelSQL
One Month AgoSaved
Hybrid
New York, NY, USA
209K-286K Annually
Senior level
209K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads software engineering projects and developer teams building large-scale, cloud-native full-stack systems and distributed microservices. Provides technical leadership for architecture, platform roadmaps, reliability, performance, regulatory solutions, and enterprise technology standards. Partners with product managers and architects, mentors engineers, evaluates emerging technologies, and develops solutions using modern programming languages, databases, cloud platforms, containers, APIs, CI/CD, and observability practices.
Top Skills: Ai Coding ToolsAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservability ToolsPythonRdbmsRustScalaTypescript
One Month AgoSaved
Hybrid
New York, NY, USA
197K-246K Annually
Mid level
197K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Build and launch customer-facing front-end products and platform services from scratch for Capital One Travel. Develop scalable architectures, APIs, and responsive web experiences using modern frameworks and AI-native workflows. Partner with product, design, business, and external partners; own solutions end to end; lead projects; mentor engineers; establish engineering standards; and implement automated testing, performance optimization, micro frontends, BFFs, feature flags, and canary releases.
Top Skills: AngularCanary ReleasesClaudeCSSCypressFeature FlagsGraphQLGrpcHTMLJavaJavaScriptJestMicro FrontendsNode.jsPlaywrightProtocol BuffersReactRestful Web ServicesTypescript
One Month AgoSaved
Hybrid
New York, NY, USA
162K-201K Annually
Senior level
162K-201K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Develop enterprise Generative AI solutions for Commercial Banking using multi-agent systems, advanced RAG, context engineering, and tool-calling frameworks. Partner with data scientists, machine learning engineers, and product managers to build, evaluate, validate, fine-tune, and deploy AI pipelines across numeric and textual data. Apply statistical modeling, machine learning, deep learning, NLP, information retrieval, and cloud technologies while translating complex technical work into business outcomes.
Top Skills: AWSContext EngineeringDeep LearningLangchainMachine LearningMulti-Agent SystemsNatural Language Processing (Nlp)PythonRRetrieval-Augmented Generation (Rag)ScalaSQLTool-Calling FrameworksVector Databases
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