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Top Tech Jobs & Startup Jobs in NYC, NY
Big Data • Marketing Tech • Analytics
Leads North American B2B cashflow product strategy, roadmap, execution, and launches. Uses market, customer, and data insights to prioritize opportunities, develop financial services and identity-related products, and expand capabilities through partnerships and integrations. Manages product teams, collaborates with Sales and cross-functional stakeholders, engages senior clients, tracks competition, and supports go-to-market, adoption, revenue growth, and product thought leadership.
Top Skills:
Data IntegrationsData ProductsIdentity Data
Big Data • Marketing Tech • Analytics
Designs and evolves enterprise data and AI platform architecture, enabling privacy-preserving cross-border data products, entity resolution, semantic standards, governed discovery, and AI-agent data access. Leads prototyping, reference implementations, technology adoption, and platform architecture decisions across engineering teams. Mentors engineers while applying expertise in distributed systems, cloud infrastructure, data modeling, governance, graph databases, and production operations.
Top Skills:
Amazon Web ServicesData CatalogsEntity ResolutionGraph DatabasesInfrastructure As CodeMlopsOntologies
Big Data • Marketing Tech • Analytics
Support enterprise clients through product onboarding, implementation, and ongoing technical assistance. Lead client presentations, troubleshoot production and data-processing issues, manage technical support tickets, and collaborate with Client Services, Sales, and Operations. Develop product expertise and serve as a key client contact through calls and high-touch communication.
Top Skills:
Aws S3Rest Web ServicesSftp
Big Data • Marketing Tech • Analytics
Develop fraud detection models and predictive features for account opening, account takeover, and identity risk. Responsibilities include investigating large datasets, identifying fraud patterns, engineering features, training and evaluating machine learning models, writing tested Python and PySpark code, supporting production deployment, monitoring model performance and drift, and presenting analytical recommendations. The role also requires adherence to data privacy, explainability, model validation, documentation, and governance standards.
Top Skills:
Cloud Data SystemsDistributed ComputingMachine LearningNumpyPandasPredictive ModelingPysparkPythonScikit-LearnTensorFlowXgboost
Big Data • Marketing Tech • Analytics
Build and evaluate machine learning models and features for fraud detection across account opening, account takeover, and identity risk. Analyze complex datasets to identify fraud patterns, develop hypotheses, validate models, and measure technical and business performance. Write tested Python code, support production deployment and monitoring, communicate findings, and follow standards for privacy, explainability, validation, documentation, and governance.
Top Skills:
Amazon Web ServicesAnomaly DetectionDatabricksGCPMachine LearningAzureNumpyPandasPysparkPythonScikit-LearnSnowflake
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Big Data • Marketing Tech • Analytics
Lead the technical vision and architecture for AWS cloud-native platforms and agentic AI capabilities. Establish standards for distributed systems, DevOps, Kubernetes, GitOps, security, observability, SRE, and data architecture. Govern architecture reviews, technical decisions, infrastructure evolution, and technology evaluations. Create architecture documentation, threat models, runbooks, and reference designs while advising product partners and mentoring senior engineering teams.
Top Skills:
Api GatewayArgocdAurora RdsAutogenAWSAws CdkAws Control TowerAws Secrets ManagerCi/CdDockerDynamoDBEcsEksElasticacheElasticsearchFluxGithub ActionsGitopsGrpcHarnessHelmIamJenkinsKafkaKinesisKubernetesLanggraphLlmsOpensearchPostgresRbacRedisRestSemantic KernelService MeshSIEMSreTerraformVaultVpc
Big Data • Marketing Tech • Analytics
Manage and grow a portfolio of Fintech clients while prospecting new accounts and expanding strategic relationships. Advise senior stakeholders on data, analytics, identity, fraud, risk, lending, decisioning, and software solutions. Identify opportunities across customer acquisition, underwriting, portfolio growth, and fraud prevention; align Experian capabilities to client objectives; collaborate internally to deliver integrated solutions and measurable business outcomes. Travel is required, and the role is fully remote.
Top Skills:
Data AnalyticsDecisioning SoftwareFraud ManagementIdentity Verification
Big Data • Marketing Tech • Analytics
Lead Experian’s global Digital Intelligence product portfolio, setting strategy and roadmap for device, behavioral, agent, and network-risk capabilities across web, mobile, and APIs. Manage global product leaders, guide fraud and automation detection capabilities, oversee SDK and data product evolution, and partner across engineering, data science, legal, privacy, design, and go-to-market teams. Own adoption, retention, revenue, pricing, packaging, and commercial performance while advancing AI-assisted product development.
Top Skills:
Ai-Powered Product CapabilitiesAPIsAsn IntelligenceBehavioral SignalsDevice FingerprintingIp IntelligenceNetwork-Risk SignalsProxy DetectionSdksTor DetectionVpn Detection
Big Data • Marketing Tech • Analytics
Develop targeted business accounts, prospect through email, phone, and social outreach, qualify and prioritize sales opportunities, manage contact lists and pipelines, and schedule quality appointments for Account Executives. The role requires strong B2B sales skills, financial services experience, knowledge of Experian products, effective use of sales engagement tools, and collaboration with sales and marketing teams. This is a fully remote position within the country with uncapped commission potential.
Top Skills:
6SenseGong EngageSalesforceSalesloftZoominfo
Big Data • Marketing Tech • Analytics
Lead Experian Insurance’s cross-channel demand generation strategy, including new channel pilots, performance optimization, budget allocation, forecasting, targeting, experimentation, and conversion improvement. Manage a team and marketing portfolio while partnering with analytics, decision science, product, channel owners, and external partners to scale effective acquisition programs and guide growth investment decisions.
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