Hebbia는 금융권 AI 플랫폼을 구축할 Technical Delivery 담당자를 찾습니다. LLM 워크플로우 설계 및 API 통합 경험이 필수이며, 고객 환경에 맞춘 AI 솔루션을 직접 구축하고 배포하는 역할을 수행합니다. 2~5년 차의 기술적 역량과 주도적인 문제 해결 능력을 갖춘 인재를 우대합니다. 뉴욕 오피스에서 근무하며 금융 혁신을 주도할 기회입니다.
The AI platform for investors and bankers that generates alpha and drives upside.
Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.
We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.
Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.
The Technical Delivery team is the engine behind bringing Hebbia to life within our customers' environments. We are builders, systems thinkers, and problem-solvers who translate customer needs into fully functioning AI-powered workflows. Sitting at the intersection of product, engineering, and go-to-market, the team is responsible for configuring, customizing, and deploying solutions that reflect how real teams operate - ensuring customers see value from Day 1.
Technical Delivery and AI Strategy operate as a two-person pod on every deployment. The AI Strategist owns the domain expertise and the customer relationship — they understand the workflow, the business problem, and the end-user deeply. Technical Delivery owns everything technical: the environment setup, the integrations, the AI architecture, and the build. Together, the pod is accountable for taking a customer from a signed contract to a live, confident, high-performing Hebbia deployment.
You'll take true ownership of the technical delivery lifecycle across your assigned accounts. You'll configure Hebbia environments, assist in custom AI workflows and agent buildss, scope and execute integrations, and ensure customers are live and realizing value quickly.
This structure means you won't be handed a spec sheet and told to execute - you'll be in the room, shaping the solution and taking real ownership from day one. You'll move fast, build things that matter, and directly see the impact of your work inside some of the world's leading financial institutions.
This role is for someone who is technical, moves fast, and wants early ownership. You don't need 10 years of experience. You need intellectual curiosity, real hands-on technical ability, and the drive to figure things out in an environment that doesn't hand you all the answers.
This role is based out of Hebbia’s New York City office in SoHo.
Own the technical delivery of Hebbia deployments end-to-end: from environment setup and SSO configuration through integration, workflow build, and go-live
Scope and execute integration projects, including identity/auth setup (SSO, SAML, OAuth), data connectivity, and API-based system integrations
Design and build customer-specific AI workflows, agents, matrices, and templates that reflect how real teams operate with support from AI Strategists and CoE
Lead prompt engineering, process engineering, and context engineering to optimize AI outputs for specific client use cases
Architect AI patchwork solutions that connect Hebbia's capabilities to customer data environments and adjacent tools
Partner closely with your paired AI Strategist to translate business requirements into working technical systems
Surface patterns, edge cases, and product feedback to Engineering and Product — you are a first-line signal for what customers actually encounter
Build repeatable playbooks, deployment templates, and reusable components that improve speed and quality across future deployments
Document technical configurations, integration patterns, and best practices to grow the team's collective knowledge base
2-5 years of experience in a technical implementation, solutions engineering, or engineering-adjacent role — you've shipped things in professional settings, not just in side projects
You have built and deployed LLM-powered workflows in a professional context — prompt engineering, agent frameworks, LLM orchestration, or AI automation are familiar territory
You've shipped real integrations: you're comfortable with REST APIs, authentication patterns (SSO/SAML/OAuth), and connecting systems that weren't designed to talk to each other
Strong command of structured data, configuration, and the technical building blocks of modern software stacks
You can take a loosely defined business problem and produce a working, production-quality solution with limited hand-holding
Clear, confident communicator — you can explain a technical architecture to a client's IT team in the morning and walk their end users through a workflow in the afternoon
High ownership orientation — you treat your accounts like they're yours, follow through completely, and don't drop threads
Thrives in ambiguity and moves with urgency in a fast-moving, high-expectations environment
The salary range for this role is $120,000 - $200,000 + competitive equity. This range is inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.
PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K + Wellness Benefits
Eats: Catered lunch daily + doordash dinner credit
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential
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Hebbia is redefining how teams work with complex information, turning unstructured data into clarity, speed, and confident decision-making. As a Solutions Engineer, you’ll sit at the center of that transformation, working directly with some of the most demanding and thoughtful buyers in the world.
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