Top Tech Jobs & Startup Jobs in NYC, NY

Own the credit-focused legal AI strategy for Hebbia by winning and expanding law firm accounts, deploying workflows for credit transactions, leading demos and training, proving ROI, and advising product and engineering teams. The role requires a former finance lawyer with transactional credit experience, strong client-facing communication, AI tool familiarity, and the ability to drive adoption across legal practices.

Own customer-facing AI product engagements for financial institutions, from discovery and scoping through implementation, rollout, adoption, and measurable business impact. Translate customer needs into requirements, workflow designs, prototypes, and delivery plans; partner with engineers on integrations, data access, permissions, and AI behavior; validate quality; manage stakeholders and scope; and identify reusable capabilities across deployments. The role requires regular onsite customer work and travel.

Own the strategy, roadmap, and lifecycle of an AI product area serving investors and bankers. Conduct customer research, define workflows and requirements, prototype solutions, evaluate AI outputs, and partner with engineering, design, research, sales, and customer teams. Drive launches, adoption, product quality, and measurable business impact while balancing usability, accuracy, reliability, security, latency, cost, and commercial opportunity.

Build polished web and mobile interfaces for AI agents, including streaming output, real-time progress, citations, approvals, and data-dense research workflows. Own front-end architecture, performance, accessibility, testing, telemetry, and design systems. Develop supporting APIs, streaming endpoints, agent state and session services, MCP tools, and integrations. Collaborate with applied researchers, infrastructure engineers, designers, and product managers to deliver agentic capabilities end to end.

Lead Hebbia’s business operations as a team of one, overseeing board preparation, company planning, pricing and consumption economics, GTM analytics, and resource allocation. Build financial and customer-unit-economic analyses, guide pricing and deal decisions, coordinate planning and QBRs, and turn executive recommendations into operating changes. Partner closely with Finance, Product, Engineering, Sales, and Marketing while influencing strategic investments, margins, headcount, and commercial policies.

Own Hebbia’s AWS infrastructure and developer platform end to end. Design multi-account architecture, networking, IAM, container orchestration, and infrastructure as code. Build CI/CD pipelines, preview environments, automation, observability, and cost controls. Strengthen security, compliance, secrets management, and audit readiness while preparing infrastructure for enterprise scale and multi-region deployments. Partner with product engineers to create reliable, secure, and efficient development and production systems.

Lead strategic deployment of Hebbia's AI platform across global financial institutions by applying LLMs to complex legal and banking workflows, advising customers, driving value-backed land-and-expand growth, informing product and commercial strategy, and optimizing post-sales processes to scale adoption and ROI.

The Client Partner drives customer adoption of the Hebbia platform, ensures value realization through strong relationship management, and leverages analytical insights to enhance user engagement and expand account relationships.

As a Backend Engineer, you will develop scalable systems, optimize performance, mentor junior engineers, and lead critical projects at Hebbia's Agent Collaboration platform.

The role involves working closely with strategic customers to develop personalized solutions using the Hebbia platform, including coding, integration, and workflow automation. Engineers will also enhance platform capabilities based on customer feedback.