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.

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.