Top Tech Jobs & Startup Jobs in NYC, NY

Own a strategic geographic territory and lead complex enterprise software sales cycles from prospecting through close. Build pipeline, win net-new customers, deliver value-based presentations, develop financial business cases, and align Customer Success, Solutions Consultants, engineering, and partners to accelerate deals. Advise senior executives on process automation and enterprise orchestration solutions across commercial and financial services sectors.

Leads Appian’s global demo readiness function, owning the DemoHub product lifecycle, reusable demo asset library, interactive Storylane experiences, and scalable demo environments. The role manages roadmap prioritization, requirements, release quality, adoption metrics, governance, and AI-assisted demo generation. It also coaches a distributed technical team and partners with Product, Marketing, Enablement, Sales Operations, IT, and field leadership to improve demo quality, sales effectiveness, pipeline velocity, and win rates.

Lead a global revenue enablement organization (7-8 direct reports) to scale GTM programs across Field Sales, Solution Consulting, Partners, and Onboarding. Develop a unified enablement roadmap, optimize Seismic and related platforms, institutionalize MEDDPICC and Ambition Planning, modernize onboarding to reduce ramp time, and measure enablement impact with data-driven KPIs for executive leadership.

Lead strategic partner engagement for Appian's U.S. Public Sector accounts: build executive alignment, drive co-sell/resale/demand-generation motions, create joint business plans, grow partner-sourced pipeline and services, and operationalize scalable partner management processes to accelerate revenue and partner-led solutions.

Lead the architecture, development, optimization, and operation of production LLM and AI automation systems. Design capabilities including agents, retrieval, code generation, tool use, model routing, evaluation, and observability. Drive platform modernization, scalability, reliability, architecture, and code quality while mentoring engineers and influencing technical practices across teams. Build prototypes, establish engineering standards, conduct reviews, and communicate complex technical concepts through documentation and cross-functional collaboration.

Lead the design and development of production AI systems for enterprise application automation. Responsibilities include building reliable agents and orchestration, extracting specifications from existing systems, modeling application intelligence and retrieval, developing evaluation and CI pipelines, optimizing reliability and scale, using AI coding tools, mentoring engineers, and documenting technical practices.

Lead the architecture, development, modernization, performance optimization, and reliability of enterprise-scale machine learning platform software. Mentor engineers, influence cross-team technical decisions, conduct code reviews, evaluate AI-assisted code, design cloud-native systems, and drive high-quality delivery across complex application layers. The role requires expertise in distributed systems, cloud infrastructure, production services, and enterprise engineering practices.

Build and optimize developer-facing tools, including IDE integrations, CLIs, code-analysis systems, and CI/CD workflows. Integrate transparent, reliable AI capabilities into developer experiences, optimize high-volume production services, and improve availability, latency, and efficiency. Drive engineering best practices through code reviews, automation, documentation, and technical leadership while mentoring junior engineers. The role also requires communicating complex architectures and operating tooling across enterprise deployment environments.

Leads Appian’s AI and Industry Solutions product portfolio, defining vision, strategy, and roadmaps while driving customer impact and business growth. Manages, mentors, and develops Product Managers; partners with Engineering, Design, Quality, customers, and stakeholders on investment decisions, product delivery, market analysis, and lifecycle optimization. The role requires enterprise software product leadership, technical collaboration, and experience delivering customer-centric products in SaaS, automation, workflow, or industry-specific markets.