Copia Automation
Copia Automation Offices
Copia Automation is headquartered in New York.
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
Employees are expected in the Copia office a minimum of 2-3 days/week, 10 days/month. Our office is located in NoMad/Flatiron, steps away from Madison Square Park, and minutes away from the 6, R, W, F, M, E, and 1 trains, as well as the PATH.
Typical time on-site:
Flexible
U.S. Office Locations
Copia HQ
Our office is in the charming and accessible neighborhood of NoMad/Flatiron. Enjoy parks, world class dining, shopping, and abundant transit options, just outside our doors!
Recently posted jobs
Cybersecurity • Industrial
Build Copia’s communications and analyst relations function from scratch, owning PR, analyst briefings, executive thought leadership, launches, social media, customer stories, agencies, and measurement. The role requires strong B2B technology communications experience, ideally in cybersecurity or enterprise infrastructure, with established analyst and media relationships. The leader will develop messaging, manage Gartner, Forrester, and IDC programs, ghostwrite executive content, media-train founders, support product launches, and operate hands-on as a team of one initially. Travel is required up to 20%.
Cybersecurity • Industrial
Architect and lead the company’s revenue operations function, advising Sales leadership through forecasting, territory, quota, pipeline, and reporting analysis. Own HubSpot and the go-to-market technology stack, build scalable processes for deal desk, approvals, quote-to-cash, lead routing, renewals, and expansions, and improve funnel performance. Develop AI-powered workflows, intent-signal pipelines, customer-facing assets, and sales enablement materials using tools such as Clay, Zapier, and LLM coding agents.
Cybersecurity • Industrial
Lead and grow an Applied AI engineering squad to design, build, and ship GenAI-powered features across Copia's products. Define strategy and roadmap, oversee architecture (frontend, backend, APIs, LLM integration, RAG), ensure reliability and operational quality, mentor engineers, manage hiring and performance, and promote responsible AI practices in a safety-critical domain.
