Top Tech Jobs & Startup Jobs in NYC, NY

Lead enterprise sales for automotive dealer groups, owning the full sales cycle from pipeline development through close. Build relationships with dealer principals and operational leaders, conduct high-value discovery, lead pricing and contract negotiations, support demos and pilots, and convert pilots to paid customers. The role focuses on multi-rooftop deals, pipeline quality, revenue per deal, conversion rates, and representing Cerence at industry events. Approximately 30% travel to customer sites is required.

Supports the full lifecycle of enterprise business applications in an Agile IT environment, including analysis, design, testing, deployment, maintenance, integrations, documentation, and process improvement. Collaborates with business stakeholders, technical teams, vendors, and senior analysts to maintain stable and secure applications. Provides end-user support through issue triage and root-cause analysis, monitors project deliverables, manages risks, and supports dataflows and technical procedures.

Provides Tier II technical support for applications, hardware, networks, servers, workstations, cloud environments, and mobile devices. Troubleshoots complex issues, manages user accounts and permissions, documents solutions, monitors systems, and reports incident trends. The role also mentors junior staff and participates in software deployments, system upgrades, and network enhancement projects while delivering strong customer service.

Own the strategy, roadmap, business performance, and value delivery for WebCenter PLMS, an enterprise SaaS product serving regulated Life Sciences customers. Translate customer and regulatory needs into prioritized requirements, initiatives, and product investments. Lead discovery, business cases, launches, adoption, pricing, positioning, partnerships, and cross-functional alignment with Product, R&D, Sales, Marketing, and regional teams. The role is remote within the US Eastern time zone, with approximately 10% travel and an onsite immersion program.

Designs and maintains secure converged IT/OT network architectures supporting ICS, SCADA, building management, and mission-critical systems. Responsibilities include network segmentation, firewalling, VPNs, IDS/IPS, vulnerability assessments, penetration testing, industrial protocol security, SIEM monitoring, incident response, forensic analysis, documentation, and compliance with IEC 62443 and related frameworks. Collaborates with controls engineers, facilities teams, and integrators, with frequent travel to job sites and hands-on work in industrial environments.

Lead architecture and implementation of autonomous inbound/outbound AI agents, build scalable LLM ops and signal-intelligence data pipelines, integrate identity resolution and third-party CRM systems, and maintain production-ready, well-documented systems for Series B diligence.

Create cohesive brand identities, including logos, color palettes, typography, and visual language. Design user-friendly websites using Squarespace, WordPress, or Wix, and produce visual assets with Adobe Creative Suite. Collaborate independently with clients and professionals, manage multiple client accounts, communicate effectively, and deliver high-quality work on schedule.

Serve as the primary customer liaison for revenue cycle management services, building relationships and driving satisfaction, retention, and advocacy. Analyze performance metrics, identify trends, provide actionable reports, resolve customer issues, and recommend workflow improvements. Collaborate with billing, operations, product, and other internal teams to optimize service delivery. The role requires deep revenue cycle expertise, customer engagement skills, strong communication, and up to 10% overnight travel.

Own TLDR’s Applied AI product function, triaging requests, translating business problems into build-ready specifications, redesigning processes into agentic workflows, and managing the roadmap and lifecycle of internal command centers and tools. The role partners with strategy, operations, and AI engineering teams, prioritizes automation opportunities, drives adoption, and helps shift company work from manual processes to AI-enabled workflows.

Lead design and delivery of large-scale, cloud-native services powering millions of devices. Architect solutions for scalability and integration, own full service lifecycle in Kubernetes, mentor engineers, participate in on-call support, and drive engineering best practices across cross-functional teams.