Top Tech Jobs & Startup Jobs in NYC, NY

Leads enterprise data strategy, governance, quality, reporting, and information systems for healthcare and PBM business units. Manages development and reporting teams, owns the data roadmap, serves as product owner, and partners with corporate and client IT teams. Oversees data platforms, AWS infrastructure, SQL databases, security assessments, compliance, issue resolution, and strategic data initiatives while promoting data-driven decision-making and standardized data practices.

Manage a portfolio of utility and energy-efficiency clients as the primary contact throughout program implementation. Build stakeholder relationships, coordinate internal and external teams, manage timelines, risks, and contractual deliverables, and maintain strong client satisfaction. Identify account expansion and sales opportunities, lead client meetings and RFP efforts, translate client priorities into action, and drive continuous improvement across program delivery.

Build strategic customer relationships, lead technical onboarding and cloud deployments, provide hands-on support, drive feature adoption, gather feedback, lead roadmap discussions, and partner with sales on renewals and expansions. The role advocates for customer needs across Product Management and Technical Support while helping customers realize the value of the cloud security platform.

Build and customize GoHighLevel websites, funnels, email campaigns, calendars, forms, pipelines, and automated workflows for B2C campaigns. Apply strong visual design principles, configure UTM attribution, tagging, segmentation, and contact flows, then QA builds across devices. Document implementations, maintain organized assets, collaborate through Google Workspace and Jira, and prepare projects for CTO sign-off.

Lead technical assistance projects for community colleges and workforce systems. Advise on work-based learning, apprenticeships, credentials, student outcomes, higher education in prisons, data practices, and policy. Translate research into tools, training, and guidance; manage teams and projects; engage stakeholders; and support business development with public, nonprofit, and foundation clients.

Lead and mature AWS platform operations and DevOps practices, automate infrastructure and deployments, migrate complex workloads to AWS, design Kubernetes and serverless solutions, integrate AI/ML platform capabilities, troubleshoot complex systems, and coach teams while upholding organizational faith and child protection commitments.

Build the company’s outbound top-of-funnel motion from scratch across SMB and enterprise e-commerce accounts. Responsibilities include prospecting through email, phone, LinkedIn, events, communities, and direct messages; creating account lists and ICP definitions; researching prospects; writing and testing messaging; operating AI-assisted outbound tools; qualifying opportunities; partnering with founders and AEs; and documenting repeatable sales processes.

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Support attorneys with legal research, document preparation (briefs, memos, reports), case management, and regulatory monitoring. Analyze environmental law issues, maintain organized case files, collaborate on case strategies, and assist in preparing materials for client matters.

Build, secure, and operate AWS infrastructure supporting AI services and federal applications. Deploy and manage production AI capabilities, cloud-native applications, infrastructure-as-code, CI/CD pipelines, containers, identity and access controls, secrets, monitoring, logging, and observability. Develop data pipelines using Python, SQL, and AWS services including S3, Glue, Lambda, and Step Functions. Establish reusable AI infrastructure patterns, support multiple application teams, troubleshoot issues, and meet security, privacy, and data-retention obligations.