Top Senior Level Artificial Intelligence Jobs in New York City, NY

Leads and scales a team of SMB and mid-market Solutions Engineers supporting technical pre-sales evaluations and post-sale onboarding. Responsibilities include hiring, coaching, deal strategy, discovery, demos, proof-of-concepts, data model design, migrations, integrations, workspace configuration, enablement, onboarding frameworks, and cross-functional customer feedback. The role partners closely with Account Executives, Product, and Engineering while advancing AI tooling and GTM processes.

Lead and grow a 3–5-person engineering team while owning observability, evaluation frameworks, scalable integrations, and the customer-facing Copilot product. Contribute hands-on Python and TypeScript code, troubleshoot production issues, guide reliability and scalability efforts, partner with Product and engineering teams, remove blockers, mentor engineers, and support hiring.

Own full-cycle recruiting for go-to-market functions, including sourcing, pipeline development, candidate screening, interview management, offer negotiation, and closing. Partner with hiring managers to define requirements, calibrate candidates, and improve hiring processes. Track recruiting metrics, report progress and risks, and use AI and recruiting technology to improve efficiency and candidate experience.

Own and define Hanover Park’s infrastructure strategy as the company scales. Responsibilities include AWS, PostgreSQL, Supabase, Vercel, and Trigger.dev infrastructure; CI/CD; observability; security; backups; performance; incident response; SLOs and SLIs; and production reliability. The role also requires application coding, architecture decisions, automation, mentoring, and establishing platform engineering practices from the ground up.

The Account Executive will drive enterprise software sales to logistics service providers, including prospecting, relationship building, sales-cycle management, forecasting, and pipeline development. Responsibilities include managing logistics accounts, selling across IT, procurement, transportation, and supply chain functions, gathering customer feedback, and partnering with product, marketing, and account management teams. The role requires travel, strong presentation skills, logistics industry knowledge, and a proven $1M+ annual quota track record.

Drive cross-functional product pilots and enterprise implementations from planning through launch and evaluation. The role manages project plans, readiness, migrations, permissions, configurations, post-launch issue resolution, and product operations processes. It analyzes usage and adoption data with SQL, synthesizes customer feedback from multiple channels, and improves workflows, monitoring, and support operations. The Senior Associate partners with Product, Engineering, Customer Success, Implementation, Data, and Marketing teams while maintaining clear documentation and project updates.

Own end-to-end product design for major SaaS features and new offerings, from strategy through launch and iteration. Translate complex AI capabilities into intuitive, trustworthy experiences for accounting professionals. Collaborate with Product, Engineering, and leadership, conduct user research and analytics, create high-fidelity prototypes and specifications in Figma, uphold design-system quality, and mentor junior designers.

Build and operate reliable data systems and products supporting clinical operations, drug evaluation, business development, analytics, machine learning, and AI agents. Responsibilities include designing pipelines, canonical data models, data contracts, warehouse transformations, quality and observability practices, governance for regulated data, and incident response. The role partners closely with Product Engineering and Data Science, uses AI-assisted development, contributes to architecture, and mentors other engineers.

Partners with senior leaders to develop talent strategies, lead full-cycle recruiting for critical roles, improve hiring processes, conduct talent mapping, and build competitive sourcing pipelines. Uses recruiting analytics, structured interviewing, AI-enabled tools, and market intelligence to improve hiring outcomes. Advises on offer strategy, stakeholder alignment, inclusive hiring, employer branding, and candidate experience across Product and Business functions.

Manage an enterprise customer portfolio focused on retention, expansion, adoption, and measurable business outcomes. Serve as a strategic advisor to executive stakeholders, analyze performance data, guide customers through AI-driven search and digital marketing changes, identify growth opportunities, support renewals, and lead escalations. Use AI tools to generate insights, improve execution, and translate complex market and competitive trends into actionable recommendations.