Jobs at Exa (exa.ai)

Provide high-trust executive support to founders and C-suite: manage calendars, triage communications, coordinate meetings and recruiting, plan events and offsites, improve workflows, and handle ad-hoc operational tasks to keep the organization running smoothly.

Create and own launch videos end-to-end: concept, film, sound, edit, and ship. Translate complex technical products into shareable visual and audio content, iterate quickly, and build a cohesive Exa video language.

Own the data partnerships cycle, making strategic decisions, negotiating contracts, and driving growth while collaborating with various teams.

Lead GTM analytics and reporting: define core revenue metrics, build forecasting and capacity models, create governed data models and dashboards, drive revenue cadence and board reporting, analyze segment/territory/productivity, and build AI-native automated analysis workflows.

Lead and build the post-sales function: design onboarding, health-scoring and early-warning systems, run renewals and support, own Net Dollar Retention, and scale team, tooling, and processes while partnering with Sales, Product, and Engineering.

Build and run a deal desk: define pricing playbook, approval matrix, CPQ/quoting, and bookings governance. Own deal structuring, revenue controls, audit trails, and automation to speed deal velocity while preserving discipline.

Engineering intern will help build massive-scale search and ML infrastructure: web crawlers, embedding model training, and high-performance vector databases. Projects are matched to skills and interests; role is full-time, in-person in San Francisco.

Lead architecture and implementation of Exa's end-to-end revenue tech stack (CRM, MOPS, sales engagement, CPQ/billing, forecasting, conversational intelligence). Build data pipelines, API orchestration, AI agents, forecasting and dashboards; own CRM object model and automation; integrate GTM systems, enforce a canonical data model, and scale systems from greenfield to IPO readiness while growing the Revenue Systems team.

The Infra Engineer will design and operate large-scale infrastructure, focusing on reliability, observability, and optimization across GPU clusters and Kubernetes systems.

As a Web Crawler Engineer, you will develop a search engine by crawling the web, optimizing systems, and scaling infrastructure for high performance and efficiency.

As a Backend Engineer, you will work on various backend systems, optimizing performance and building high-scale infrastructure for a search engine.

Lead brand identity and design interfaces for Exa's API and search capabilities, collaborating with engineering to enhance user experience.

The ML Research Engineer will develop and train embedding models for a search engine, focusing on novel transformer architectures and dataset creation.

As a Forward Deployed Engineer, you'll combine engineering and sales skills, work with customers, and develop server solutions. Responsibilities include programming, sales calls, and improving the sales pipeline.

Build Exa's technical sourcing function: design outbound sequences, craft cold outreach, find and enrich passive engineering and research candidates using Exa's search/agent tools and community channels, partner with founders and engineering leaders, and iterate recruiting systems and workflows.

Own end-to-end technical recruiting for a high-growth AI startup: source, outreach, interview, and close engineers and researchers; partner with founders and leads; build recruiting systems using in-house AI search tools; shape talent brand and scale hiring rapidly.

Build and maintain large-scale systems to extract, connect, retrieve, and reason over web knowledge. Implement petabyte-scale data pipelines, optimize for correctness/reliability/scale, and improve data quality to power factual QA and search.

Manage strategic partnerships across cloud infrastructure, consultancies, startups, and VCs, driving revenue and co-marketing initiatives in the AI ecosystem.

As a Data Engineer, you'll architect and build large-scale data infrastructure for real-time search, handling massive data volumes efficiently.

This role involves overseeing people operations such as onboarding, benefits administration, compliance, and improving employee experiences within a fast-growing company.