The AI platform for investors and bankers that generates alpha and drives upside.
Founded in 2020 by George Sivulka and backed by 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.
Hebbia’s Operations function is a multi-faceted team responsible for driving commercial success, collaboration, and productivity across all GTM teams. The team is focused on driving increased efficiency via analytics, tooling, and strategic frameworks to accelerate Hebbia's pre and post-sales teams.
We're looking for a GTM Systems Lead to own the technical backbone of our revenue engine. This is a builder role: you'll design, ship, and continuously improve the systems, automations, and AI-powered workflows that help our GTM teams operate at their best. You won't be maintaining a set of existing automations; you'll be the person who identifies the friction, designs the fix, and ships it.
You'll own our full GTM tech stack including Salesforce, Outreach, Gong, Apollo, Clay, Claude, and more, and be responsible for how we use AI to transform the way our field teams work. This is a high-visibility, high-ownership role that sits at the intersection of revenue strategy and technical execution.
This team works in person 5 days a week at our SoHo office in NYC.
Identify, build, and iterate on AI-powered workflows using Hebbia, Claude, Clay, and adjacent tools for both pre- and post-sales teams
Build and maintain prompt libraries and role-specific AI assistants that give field team members leverage in their day-to-day work; set up measurement frameworks to track what's actually moving the needle
Own, administer, and continuously improve our core GTM tools, serving as the internal subject matter expert for each
Keep all systems integrated and healthy, with clean data flowing across the stack so that every downstream workflow, report, and automation is built on a foundation that can be trusted
Audit the full GTM workflow for manual, repetitive work and systematically replace it with automation across data capture, field updates, handoffs, lead enrichment, sequence enrollment, and signal monitoring
4 to 7 years of experience in Revenue Operations, GTM Systems, GTM Engineering, or a closely adjacent technical role in a B2B SaaS environment
Practical experience with prompt engineering and building AI-assisted workflows using LLM APIs or tools like Claude
Deep hands-on experience with GTM tools including Salesforce, Gong, Outreach, Apollo, and Clay, with a track record of building workflows and automations that teams actually use
Comfortable working directly with APIs, webhooks, and data integrations. You can connect systems and debug sync issues without filing an engineering ticket
Experience owning vendor relationships including renewals, evaluations, and contract negotiations
Experience in fast-paced environments and be comfortable working both as part of a team and independently
Demonstrated ability to prioritize workload and manage multiple concurrent projects
Strong verbal and written communication skills; ability to work effectively with cross-functional teams
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Hebbia is an AI platform designed for financial services professionals, including asset managers, investment banks, law firms, and large enterprises. The platform leverages AI technology to enhance research, analysis, and decision-making in finance and related sectors.
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