Top Tech Jobs & Startup Jobs in NYC, NY

Leads Salesforce’s Forward Deployed Engineering team in delivering enterprise Agentic AI solutions. Defines deployment strategy, multi-agent architectures, development lifecycle standards, governance, and operating models. Builds and develops a high-performing technical team, partners with Product, Engineering, Sales, Security, and Legal, and influences Agentforce’s product roadmap. Requires deep expertise in enterprise AI, LLMs, RAG, distributed systems, orchestration, and secure production deployments, with 30% customer travel.

Drive growth across assigned higher education accounts in New Jersey and New York. Build trusted relationships with stakeholders and executive decision-makers, generate pipeline through existing customers and whitespace prospecting, develop account strategies aligned with customer objectives, coordinate internal Salesforce resources, communicate Salesforce’s value proposition, and expand adoption within strategic accounts.

Owns the roadmap and lifecycle of AI-native process blueprints for Salesforce Life Sciences Cloud. Designs and deploys Agentforce workflow automations, translates customer needs into product requirements, manages backlogs and Agile delivery, validates solutions, and partners with engineering, design, customer teams, and implementation partners. The role focuses on automating regulated Life Sciences workflows, gathering customer insights, enabling adoption, and delivering measurable improvements in efficiency, productivity, and customer value.

Leads Salesforce’s AI-enabled delivery strategy for its global Life Sciences Professional Services organization. The role identifies implementation patterns, prioritizes industry-specific AI investments, shapes product roadmaps, and develops reusable assets and delivery accelerators. It partners across Product, Engineering, Customer Success, Professional Services, and global delivery teams while leading approximately 20 professionals. Success is measured through AI adoption, delivery productivity, customer outcomes, reusable capabilities, and innovation across Life Sciences engagements.

Build and lead frontend architecture for Salesforce’s large-scale digital ecosystem. Responsibilities include developing scalable React-based components, owning features from design through delivery, defining testing strategies, optimizing performance and security, and maintaining platform stability. The role collaborates with product, UX, and engineering teams, integrates AI tools into development workflows, mentors engineers, presents technical designs, and champions accessibility, quality, observability, and cross-browser compatibility.

Drive revenue growth and build client relationships using AI-driven solutions. Understand client needs and showcase how Salesforce's technology can address business challenges.

Lead end-to-end customer engagements to define and deploy agentic AI strategy and solutions on Salesforce platforms. Own program management, adoption, stakeholder management, delivery coordination, and product feedback. Design AI/LLM solutions with responsible AI practices and drive measurable value; travel ~25% to customer sites.

Develop and execute sales enablement strategies, calendars, and learning programs aligned with business priorities. Analyze sales performance data to identify capability gaps, create targeted initiatives, and measure business impact. Partner with Sales Strategy, Sales Programs, Marketing, and senior revenue leaders to improve seller knowledge, behaviors, customer conversations, and revenue outcomes. Manage cross-functional execution in a fast-paced environment while adapting priorities and promoting scalable enablement practices.

Develop and execute sales enablement strategies, plans, calendars, and scalable learning programs. Analyze sales performance metrics to identify capability gaps, partner with cross-functional teams, and equip sellers with knowledge, behaviors, and tools that improve customer conversations and revenue outcomes. Act as a strategic advisor to sales leadership while adapting quickly to shifting business priorities.

Provide legal counsel for Salesforce AI products and research programs across product development, privacy, data protection, commercial agreements, and strategic transactions. Advise executives, engineers, and product managers; negotiate agreements with technology partners and service providers; support AI-related commercial escalations and transaction diligence; deliver client training; and build strong cross-functional relationships.