Top Tech Jobs & Startup Jobs in NYC, NY

Own a single area of the FlowFuse product end-to-end: discovery, roadmap, backlog prioritization, writing precise technical GitHub issues, running refinements with an engineering squad, and shipping customer-focused work. Collaborate with sales, marketing, and engineering; apply domain knowledge (industrial/IIoT a plus) and AI tools to move work forward in a fast-moving startup.

Install, configure, and support Epic client applications (Hyperspace, Interconnect, print services) across desktops, mobile, and virtual platforms. Monitor performance and security, troubleshoot issues, support Citrix/VMware environments, manage upgrades/patches, document configurations, participate in disaster recovery testing, and provide on-call production support while ensuring compliance with policies and standards.

Design, build, and maintain Workday reports, dashboards, Adaptive Planning sheets, and automations. Deliver workforce analytics, forecasts, and visualizations to support workforce planning and data-driven HR decisions. Collaborate to develop scorecards and influence business outcomes with real-time and forecasted people data.

Lead design and delivery of data engineering, analytics, and applied AI solutions for media and advertising clients. Build scalable ETL pipelines, architect Databricks and cloud data platforms, develop BI integrations, and advise on LLM, RAG, and AI production use cases. Engage clients from discovery through deployment and support, driving performance, governance, and cost optimization.

Hunt, develop, and close enterprise SaaS deals (>$1M ARR), build executive relationships, own outbound pipeline, negotiate contracts, forecast in Salesforce, and collaborate cross-functionally to grow accounts and drive digital identity and fraud-prevention adoption.

Lead prompt architecture, governance, and evaluation for consumer-facing career tools. Design multi-agent and chain-of-thought prompt systems, build CI/CD/versioning for prompts, align strategies with engineering and product, establish safety guardrails, evaluate models and tooling, and mentor the prompt management team.

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Lead NGL growth and monetization by owning funnels and lifecycle metrics end-to-end. Define strategy and roadmap, write detailed PRDs, run high-velocity A/B tests, partner with Monetization, Paid UA, Engineering, Design, and Data, and analyze qualitative and quantitative results to drive DAU, signups, retention, and revenue.

Lead Manhattan Active WM solution design and multi-site rollout, migrate legacy WMS/TMS/WES/WCS, define processes and standards, validate warehouse hardware and automation, manage integrations, testing, cutover, go-live stabilization, documentation, and mentor internal teams.

The Implementation Engineer configures and customizes Salesforce solutions, partnering with teams to deliver quality implementations. Responsibilities include data migration, troubleshooting, documentation, and ensuring scalability and alignment with customer needs.