Top Tech Jobs & Startup Jobs in NYC, NY

Lead and grow a software engineering team building Hatch and Unity platforms. Partner with product and business stakeholders to deliver high-quality web features on schedule, guide architecture and technical decisions, refine development and AI-assisted workflows, hire and mentor engineers, conduct code reviews, and remove blockers so the team can ship reliably.

Deploy and integrate AI-enabled SOC solutions across customer environments: design cloud-native ingestion pipelines, integrate SIEM/XDR/SOAR and tooling, implement automation and AI workflows, improve analyst experience, troubleshoot production issues, and provide technical leadership and field-facing delivery.

Lead complex data, analytics, AI, and cloud transformation engagements as a trusted advisor: manage delivery, scope, budget, stakeholders, and teams; design scalable data platform solutions; drive business development, mentoring, and practice improvements.

The Senior Technical Consultant leads the design and implementation of enterprise-grade technical solutions, mentors team members, and collaborates on innovations for client projects.

Support assigned Client Directors to protect and increase gross profit margin and customer satisfaction. Manage quote-to-cash transaction lifecycle, prepare pricing/proposals, maintain pipeline/forecast in Salesforce, resolve customer issues, coordinate internal teams, manage vendor and AR interactions, and maintain client records and value-add deliverables.

Lead architecture, design, development and deployment of ServiceNow solutions (ITOM preferred). Mentor teams, drive integrations, lead client workshops/demos, contribute to presales, maintain certifications, and own project delivery with at least 25% travel.

Lead and implement hands-on data governance across the Data Platform: build and operate the enterprise catalog, automate lineage, embed data quality checks, configure Snowflake governance, manage access workflows and event contract governance, create governance metrics and dashboards, define standards and operating model, enable domain teams, and hire and lead a small governance function.

Lead build-and-run of an enterprise Data Platform: design and operate Snowflake architecture, data governance, access/authorization, FinOps, ingestion (batch/CDC/streaming), medallion pipelines, data product publishing, and event streaming/messaging. Recruit and lead a cross-functional team, define operating model and standards, ensure secure governed connections for analytical and operational use cases, and align platform decisions with business priorities.

Serve as a hands-on principal consultant embedded with business units to discover AI opportunities, facilitate design-thinking workshops, scope MVPs, guide platform fit, bridge business and engineering, drive adoption/change readiness, engage executives, and measure business impact through defined success metrics and reporting.

Build and operate production AI applications on enterprise GPT platforms: design agents and workflows, integrate enterprise data sources, implement APIs/webhooks, ensure security/observability, prototype and scale RAG and agentic solutions, measure model quality and cost, and partner with business stakeholders to deliver and support AI-enabled outcomes.