Top Tech Jobs & Startup Jobs in NYC, NY

Lead architecture and technical strategy for complex Media & Entertainment systems across broadcast, OTT, and digital platforms. Translate business requirements into end-to-end media workflows, design integrations among MAM/PAM, playout, transcoding, and cloud storage, guide delivery teams and vendors, support cloud migration and modernization, and contribute to pre-sales and solution estimations.

Serve on client project teams across all phases: gather requirements, design data models, develop with SQL (and occasional Python), build dashboards in Tableau/Power BI/Looker, implement data warehouses (Snowflake, Databricks, Redshift, etc.), run stakeholder workshops, manage risks, and mentor colleagues while supporting business-focused data decision-making.

Lead and grow the IP & Rights Management practice, oversee rights-focused project delivery and implementations, drive business development and vendor relationships, mentor teams, and manage financial aspects of rights (royalties, participations, ultimates, forecasting, revenue recognition).

Lead CLM-focused consulting engagements through full project lifecycle: setup, requirements, design, development, testing and deployment. Facilitate executive workshops, manage project risks and client communications, mentor team members, and contribute to practice growth and methodology.

Lead and execute revenue growth by aligning Sales, Marketing, Partnerships and Revenue Operations. Expand into Gaming, OTT/Streaming, Sports Betting, Parks & Resorts and Creator Economy; own Tier 1 deals; build a cold-to-close pipeline; strengthen cloud partner alliances; implement sales metrics and unify the revenue engine.

Lead system implementation projects through setup, requirements, design, development, testing and deployment. Review deliverables, identify risks and mitigation, run stakeholder interviews and workshops, build client relationships, and contribute to mentorship, recruitment and internal methodology improvements.

Lead and deliver Applied AI implementations across full SDLC: setup, requirements, design, development, testing and deployment. Manage risks, run stakeholder interviews and workshops, build client relationships, support PMO and change management, and contribute to mentorship, recruitment and internal practice growth.

Work on applied AI consulting engagements: create client-ready deliverables, document requirements, test systems, lead junior staff, support PMO reporting, run stakeholder workshops, train users, and build client relationships.

Lead delivery of Applied AI projects across the SDLC: setup, requirements, design, development, testing and deployment. Facilitate executive workshops, manage client stakeholder alignment, identify and mitigate risks, drive organizational change management for adoption, mentor team members, contribute to recruitment and methodology improvements, and manage project planning, budgets, resources, and status reporting.