Top Tech Jobs & Startup Jobs in NYC, NY

Lead and scale post-sales Customer Success as a player-coach: manage a portfolio of strategic customers, drive onboarding, adoption, renewals and expansions, build the CS team and playbook, align cross-functionally with Product/Sales/Engineering/TAM, and provide deep billing/CPQ expertise to optimize pricing, revenue recognition, and quote-to-revenue workflows.

The role involves auditing technical records for compliance, managing discrepancies, assisting with data entry, and ensuring documentation accuracy in a fast-paced environment.

Ensure helicopters are airworthy and comply with regulations. Responsibilities include conducting airworthiness reviews, maintaining records, and reporting safety concerns. Requires travel for inspections.

The Neuroimaging Engineer will analyze MRI data, develop software for algorithms, and assist in managing neuroimaging databases and quality assurance.

Lead and scale the Americas sales operations for Webbing, focusing on revenue growth, team building, and strategic partnerships in a fast-paced environment.

The Strategic Channel Executive will drive revenue growth through strategic partnerships, executing joint sales plans, managing pipeline, and ensuring alignment with partner sales teams.

Design, deliver, and maintain onboarding and compliance training for attorneys and staff. Create training materials, coordinate logistics, manage learning repositories, collect feedback, and support knowledge-management and SOP documentation.

Support attorneys with legal research, document preparation (briefs, memos, reports), case management, and regulatory monitoring. Analyze environmental law issues, maintain organized case files, collaborate on case strategies, and assist in preparing materials for client matters.

Perform compliance reviews, monitor regulatory changes, assist with audits and risk assessments, respond to compliance inquiries, prepare compliance reports, and work cross-functionally to implement and improve compliance programs.

The Senior Solutions Architect II leads the design and implementation of large-scale solutions, drives innovation, and mentors team members. They also collaborate on pre-sales with Sales teams and serve as technical escalation points for complex issues.

The Senior Backend Engineer will develop core functionalities for AI-driven drug discovery, collaborating with R&D and product teams, managing infrastructure, and ensuring engineering excellence.

The Senior Forward Deployed Engineer will deploy and validate AQNav systems, drive success during tests, communicate with stakeholders, and bridge operations with research and engineering.

Develop and execute regional sales strategies across TX/OK/AR/LA, build customer and distributor relationships, identify new business, provide product demos and technical support, negotiate contracts, track forecasts and performance, collaborate with marketing, attend industry events, and ensure post-sale customer satisfaction.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Embed with client teams to design, build, and ship production-grade AI systems (LLM-powered apps, RAG, agents). Own architecture, write maintainable tested code, debug production issues, transfer knowledge, and contribute learnings, docs, and internal tooling.

Build production-grade LLM systems and RAG/agent applications, embed with client engineering teams, transfer knowledge, create curriculum and educational content, and contribute reusable patterns, documentation, and internal tooling while ensuring production quality and operational readiness.

Hands-on growth-focused engineering role: create content, manage community and partnerships, and build production-grade LLM-powered systems with client teams. Embed with clients, own technical architecture, ship reliable AI/ML applications (RAG, agents, fine-tuning), transfer knowledge, contribute to documentation and internal tooling, and support go-to-market and sales activities.