About Eventual

Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product.

Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens.

We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With Series A and seed funding from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started.

Please note we're looking for individuals who are excited to be a part of a tight-knit team working together 4 days / week in our SF Mission district office. We expect the internship to be part-time for 3 - 6 months.

Your Role:

As our GTM Engineer intern, you'll be the technical architect of our go-to-market discovery and automation engine. Working directly with our Head of Ops, you'll use AI tools and data analysis to automate outreach to our ICP, build the systems that scale our customer research, and drive efficient use of our CRM. This is a unique opportunity to shape a startup's GTM strategy from the ground up while developing cutting-edge skills in revenue automation and customer intelligence.

Key Responsibilities:

• Customer Discovery: Use AI tools (Clay, Claude Code, n8n, Zapier, etc) to build lists of target ICPs, monitor intent signals, personalize outreach, and automate outbound

• Customer Intelligence: Do deep dives into technical blogs, financial statements, etc to build profiles of targeted ICPs ahead of meetings

• Revenue Operations: Automate collection and maintenance of HubSpot data, build automated workflows for lead routing and follow-up, create dashboards and reporting systems

• Product-Led Growth: Leverage data about existing open-source users to drive personalized outreach and campaigns

What we look for:

• Automation obsessed - you get excited about building workflows that eliminate repetitive work and have automated away tedious tasks in the past

• Scrappy builder - you've hustled hard in your previous roles and achieved successful outcomes through experimentation

• Systems thinker - you see and track the big picture of how data flows from outreach to closed customer and can pinpoint areas of improvement using data

• Commercial + technical hybrid - you care as much about driving revenue as you do about clean code/data; you can talk ROI with leadership and API integrations with engineers

• Computer science or business background preferred - whether you learned to code in school or picked up technical skills building side projects, you have the baseline to work with APIs, databases, and automation tools; new grads are welcome to apply

Perks & Benefits

• In-person tight knit team with 4x a week in office

• Catered lunches and dinners for SF employees

• Team building events & poker nights

• Flexible PTO

• Latest Apple equipment