Top Tech Jobs & Startup Jobs in NYC, NY

Coordinates product sample workflows from receipt through approval and disposition, maintaining chain-of-custody, status records, shipping documentation, and client deliverables. Performs data entry, extraction, monitoring, scheduling, reporting, portal administration, document updates, and process automation support across internal and client systems. Resolves delays, ensures documentation completeness, and follows governance, quality-control, security, and compliance procedures.

Lead technical strategy and architectural decisions for Cash App Banking’s server engineering team. Build scalable, reliable financial systems, contribute hands-on code and designs, influence cross-functional leaders, uphold engineering standards, and mentor engineers. The role involves leading large-scale feature delivery, identifying globally optimal solutions, improving infrastructure, and applying AI-first practices across the organization.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Design, develop, configure, integrate, test, deploy, and support Saviynt EIC identity governance solutions. Build lifecycle automation, access workflows, certifications, RBAC, SoD controls, application integrations, APIs, connectors, and provisioning processes. Troubleshoot production identity and integration issues, support releases and incident management, document engineering standards, and mentor engineers. Collaborate with cybersecurity, architecture, application, infrastructure, HR, audit, and engineering teams.

Leads complex consulting engagements for credit card issuers and payments clients, focusing on product profitability, P&L optimization, business cases, portfolio strategy, and executive recommendations. Oversees data transformation, financial modeling, analysis, quality assurance, client relationships, project delivery, business development, and team development. Coaches consultants and partners with product, finance, marketing, credit risk, loyalty, and operations stakeholders to drive client value.

Leads embedded AI transformation engagements by identifying business opportunities, designing and deploying production-grade AI assistants and multi-agent solutions, and coaching technical and business teams. Builds reusable architectures, playbooks, training assets, governance practices, and adoption metrics. Partners with stakeholders to operationalize AI, develop internal champions, measure business impact, and establish sustainable AI-first capabilities across the enterprise.

The Director, Risk Management is responsible for designing and executing the risk management framework for Mastercard's Core Payments business, collaborating with leadership to mitigate risks while enabling growth.

Supports programmatic CTV advertising operations by managing deal intake, validating sales and targeting details, configuring PG and PMP campaigns across OMS and SSP platforms, monitoring pacing and delivery, and producing reporting. Collaborates with Sales, Account Management, Yield, and Ad Operations teams to ensure accurate campaign execution, identify delivery risks, communicate deal status, and improve operational processes.

Supports Charter’s Northeast government affairs strategy through legislative tracking, policy analysis, regulatory filings, lobbying compliance, PAC activities, constituent affairs, franchising support, and engagement with elected officials and stakeholders across New York and New Jersey. The role also coordinates executive calendars and travel, represents the company at external events, and requires frequent travel, occasional nights and weekends, and a valid driver’s license.

Acquire new residential customers in multi-dwelling properties through door-to-door consultative sales. Meet monthly sales and penetration targets, generate incremental revenue from existing customers, resolve customer issues, monitor competitor activity, complete sales documentation, collect payments, and participate in training. The role involves extensive outdoor walking, variable schedules, and lifting up to 20 pounds.

Conduct equity research on small- and mid-cap software companies by analyzing financial statements, industry and market data, and maintaining financial models and databases. Co-author research content with the Senior Analyst, communicate investment conclusions, attend industry events, develop company relationships, and collaborate across research teams. The role requires FINRA licensing, regulatory compliance, background screening, and up to 10% travel.

Leads advanced data science and AI initiatives across corporate and commercial banking. Advises senior leadership, develops descriptive, predictive, and generative solutions, evaluates data quality, remediates process and control gaps, and coordinates cross-functional governance and solution execution. The role requires expertise in machine learning, statistical modeling, NLP, agentic AI, LLM fine-tuning, experimentation, Python data science frameworks, and SQL, with onsite work in New York.

Leads branch governance, supervision, risk management, and compliance for Wells Fargo Advisors’ Northeast Division. Oversees registered and unregistered associates, supervisory reviews, regulatory adherence, escalations, process improvements, training, and policy implementation. Partners with senior business, operations, risk, compliance, and central supervision leaders; manages assigned personnel and serves as a primary risk contact across business units.

Own and scale Notion’s global mobility program, including immigration, relocation, cross-border assignments, vendor management, policies, and employee support. Partner with People, Talent Acquisition, Legal, Finance, Accounting, and Tax on international expansion, employment models, compliance, and mobility strategy. Build dashboards, improve processes, and use AI and automation to streamline cases and reduce manual work.

Design, build, and operate highly available, secure, large-scale cloud services and infrastructure. The role focuses on performance optimization across infrastructure, databases, and APIs; establishing engineering standards; shaping technical direction with Product; and mentoring engineers. The team uses Kotlin, Go, AWS, PostgreSQL, DynamoDB, Terraform, and Apache Pulsar to support distributed, event-driven systems processing billions of requests daily.

Develop Android system applications for Toast’s device management platform, focusing on background services, device policy enforcement, setup, firmware and app updates. Support new hardware and OS upgrades, expand automated testing with Robot Framework, investigate production issues, and collaborate with product, hardware, QA, and software teams. The role requires strong Android development skills in Java or Kotlin, Android architecture libraries, debugging tools, and source control.

Leads Toast’s US and Canada Employee Relations and Performance Management team. Responsibilities include managing employee relations cases, workplace investigations, performance processes, escalations, policy violations, and sensitive matters; coaching leaders; partnering with Legal and HR stakeholders; improving processes and documentation; analyzing case trends; and ensuring compliance with employment laws. The role also personally handles complex investigations and advises leaders on risk-aware employee decisions.

Serve as a trusted technical advisor to enterprise legal customers, partnering with account teams on strategic sales and expansion opportunities. Lead technical discovery, architecture validation, demonstrations, proofs of concept, integration planning, and executive discussions. Advise customers on enterprise AI use cases, cloud architecture, security, data flows, and implementation tradeoffs. Translate customer needs into product requirements, develop reusable technical playbooks, and coach account teams on complex technical engagements.

Lead business intelligence for Customer Experience by building trusted data pipelines, models, governance practices, monitoring systems, and dashboards. Partner with CX leaders and technical teams to define metrics, investigate customer outcomes using advanced statistics, detect anomalies with AI, and improve data quality. Manage high-impact analytical projects independently, communicate findings to technical and non-technical audiences, establish AI-assisted analytics validation standards, and mentor data practitioners.