Top Tech Jobs & Startup Jobs in NYC, NY

Leads paid media strategy, execution, budgeting, analytics, and agency management for CHANEL’s Watches & Fine Jewelry and Arts & Culture initiatives. Oversees integrated Paid/Owned/Shared/Earned media planning, thought leadership, trend analysis, reporting, partner negotiations, and cross-functional collaboration with PR, digital, legal, finance, and global teams. Manages and develops a team while driving innovation, brand protection, and performance evolution across media channels.

Own and scale a North American enterprise sales pipeline for an industrial AI platform. Drive six-figure deals into multi-site, seven-figure programs, manage complex buying cycles, negotiate end-to-end, align GTM and forecasting, partner with Customer Success and Product, and work directly with the CEO to build the US commercial presence.

Own strategic client relationships and account outcomes for a US B2B SaaS portfolio. Lead kickoffs, performance reviews, QBRs, renewals, escalations, paid media and ABM strategy, forecasting, measurement, reporting, and delivery quality. Translate client goals into executable plans for the India team, oversee pipeline-focused performance, and identify upsell and cross-sell opportunities. The role requires strong agency-side account leadership, demand generation expertise, CRM and analytics fluency, and effective collaboration across time zones.

Drive new business and expansion within commercial and mid-market accounts by sourcing and closing net-new logos, building executive relationships, developing territories, responding to inbound leads, and running value-driven sales cycles. The role requires researching customer objectives, building champions, creating ROI cases, managing POCs, achieving ARR targets, and collaborating with internal teams to advance complex SaaS opportunities.

Leads the global multi-tenant Site Reliability Engineering organization, setting strategy, operating models, reliability roadmaps, and production standards. Oversees managers and senior technical leaders while driving Kubernetes adoption, platform modernization, DevOps, infrastructure automation, observability, incident response, disaster recovery, capacity planning, change governance, and operational risk reduction. Partners across engineering, product, security, customer success, and program management to deliver reliable global SaaS services and develops organizational talent, metrics, and succession plans.

Leads technical strategy, governance, and service delivery for complex global enterprise accounts. Advises C-suite stakeholders, develops global TAM frameworks and KPIs, manages at-risk accounts, shapes product strategy, and integrates AI, LLMs, and predictive analytics into technical account management. Serves as a cybersecurity architecture and enterprise IAM thought leader while driving technical enablement, organizational strategy, and executive industry engagement.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Owns employee lifecycle operations, including onboarding, offboarding, leave and benefits administration, HR data accuracy, compliance, audits, employee escalations, documentation, and workflow automation. Serves as a subject matter expert on benefits, leave, and HR compliance while partnering with Payroll, Talent, IT, Workplace, and People teams to scale processes and support employees.

Build and own conversational voice AI products end-to-end: architect, implement, and deploy the platform. Design infrastructure, develop front-end and back-end systems, deliver reliable customer outcomes, and collaborate directly with the CTO to scale the product for enterprise customers.

Lead enterprise architecture across content, marketing, finance, cloud infrastructure, SSO, APIs, learning platforms, and data warehousing. Design scalable systems, guide developers and data teams, evaluate vendors and build-versus-buy decisions, and collaborate with product and finance on projects, schedules, and budgets. Drive integrations, modern engineering practices, predictive modeling, and early AI adoption while mentoring technical staff and ensuring security, performance, and business alignment.

Develop production-grade machine learning models and infrastructure to evaluate autonomous vehicle behavior in simulation and real-world environments. Collaborate across teams to deploy state-of-the-art ML systems, improve model quality, and support large-scale data and simulation workflows.