Top Tech Jobs & Startup Jobs in NYC, NY

Build and operate highly available infrastructure for WRITER’s enterprise AI platform. Responsibilities include designing cloud and Kubernetes systems, automating infrastructure with Python or Go, managing Terraform and Helm, leading incident response and postmortems, defining SLOs, improving observability and reliability, and owning infrastructure initiatives end to end. The role also requires daily use of AI-assisted development workflows and collaboration with product, security, and engineering teams.

Leads high-impact, cross-functional product initiatives from discovery through launch and iteration. Shapes multi-quarter strategy and roadmaps, engages enterprise customers, partners with engineering and design on AI and platform products, defines success metrics, aligns stakeholders, and mentors product managers. The role requires technical fluency in LLMs, agents, data, and architecture, along with strong strategic judgment, execution, communication, and customer empathy.

Build and deploy scalable AI applications, intelligent agents, and generative AI features in production. Collaborate with research, data science, and product teams; evaluate emerging AI technologies; and implement responsible AI practices including bias detection, explainability, and safety alignment. The role requires production machine learning experience, Python and AI framework expertise, cloud and MLOps knowledge, and strong software engineering skills.

Design and rapidly ship focused 15–45-minute video-based learning courses on software, workflows, role-specific skills, and AI topics. Own the full learning design lifecycle, deliver live and virtual training, repurpose content across formats, monitor emerging needs, triage requests, and collaborate with product, marketing, customer-facing teams, and subject matter experts. Serve as the on-camera or voiceover instructor while balancing speed, scope, and learning impact.

Build and scale AI agent systems that autonomously execute workflows and integrate with enterprise data and services. Develop agent infrastructure, APIs, memory, orchestration, security, state management, and asynchronous workflows. Integrate vector databases, retrieval systems, backend services, and external APIs. Ensure reliability through monitoring, observability, testing, CI/CD, and fault tolerance while collaborating with product, research, data, and UX teams.

Build secure, scalable AI integration platforms connecting enterprise systems, tools, data sources, and applications. Design backend APIs, distributed services, authentication and authorization systems, MCP clients and servers, and cross-system orchestration. Establish reliability practices including SLOs, observability, incident readiness, and performance optimization. Partner with product and engineering leaders on technical strategy, mentor engineers, lead architecture reviews, and own delivery through production.

Own customer activation and platform success for enterprise AI deployments. Build custom AI workflows, adoption strategies, champion networks, power-user communities, dashboards, trainings, and workshops. Advise stakeholders on scaling AI programs, connect usage to measurable business outcomes, and collaborate cross-functionally to improve enablement and customer experiences. The hybrid role is based in New York City and requires up to 25% domestic and international travel.

Leads paid marketing programs across social, search, and display channels, using AI to personalize and scale campaigns. Develops ABM strategies for enterprise accounts, supports long sales cycles, optimizes targeting, bidding, and budgets, analyzes ROI and pipeline impact, collaborates cross-functionally, and manages agency and vendor relationships.

Lead WRITER’s internal and external brand strategy, campaigns, customer and employee brand experiences, AI-native brand operations, product branding, agency relationships, brand measurement, and centralized brand systems. Partner with product, design, engineering, and marketing teams to strengthen brand consistency, awareness, perception, and business impact while enabling the company to create high-quality, on-brand work at scale.

Build secure, scalable generative AI services, applications, APIs, microservices, and agentic workflows. Own architecture from proposal through production, develop React and TypeScript interfaces, and collaborate with product, data science, and DevOps teams. Implement deployment, monitoring, logging, enterprise security, and reliability capabilities while mentoring engineers and delivering resilient production systems.