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.
As Daft Eventual's founding Technical Product Marketing Manager, you'll architect our go-to-market strategy during a pivotal transition—taking our open source project commercial. You'll be one of our first marketing hires, shaping how we connect with developers, grow our community, and drive adoption.
You'll wear multiple hats as both community champion and GTM strategist—crafting technical content that excites developers, speaking at conferences, and working with enterprise prospects to showcase how Daft solves their challenges. You'll bridge our engineering innovations with the ML/AI developers who need them most.
If you're energized by growing both an open source community and commercial business simultaneously—and want to define how thousands of developers experience data processing in AI—this is your role.
Key Responsibilities
Developing and executing the go-to-market strategy for Daft, growing adoption across engineers and researchers working on the cutting edge of ML/AI
Keeping a pulse on the latest developments in ML/AI and data, crafting compelling content (blog posts, case studies, documentation) that demonstrates Daft's unique value propositions
Building relationships with key community members, contributors, and enterprise users
Working closely with engineering to bring the amazing technical capabilities we're building every day to life as content that resonates with our target users
Establishing metrics to measure adoption, engagement, and community growth
Evangelizing Daft at industry events, meetups, and conferences
Collaborating with enterprise customers to develop success stories and testimonials
What We Look For
We are looking for a candidate with technical depth who can effectively communicate complex concepts to technical audiences.
Our ideal candidate has:
5 - 10 years of product marketing experience, preferably with developer tools, data platforms, or open source technologies
Strong technical foundation that enables understanding data tools and ML/AI workloads
Proven experience growing developer communities and driving adoption of technical products, especially at Series A to C startups
Excellent written and verbal communication skills, with that special ability to explain complex technical concepts
Data-driven approach to measuring and optimizing marketing initiatives
Experience with content creation, including technical blogs, documentation, and thought leadership pieces
Familiarity with open source development models and community building
Most importantly, we are looking for someone who works well in small, focused teams with fast iterations and lots of autonomy. If you are passionate about developer tools, intellectually curious about data technologies, and excited to build communities around transformative open source software, we want you on the team!
Perks & Benefits
In-person tight knit team with 4x a week in office
Competitive comp and startup equity
Catered lunches and dinners for SF employees
Commuter benefit
Team building events & poker nights
Health, vision, and dental coverage
Flexible PTO
Latest Apple equipment
401k plan with match!
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What We Do
Eventual is building a Data Warehouse from the ground up that is designed to tackle the challenges of working with traditional data engineering and analytics alongside modern ML/AI workloads. Eventual has raised over $2.5M from investors including YCombinator, Array VC, Caffeinated Capital and top Silicon Valley executives and founders in companies such as Meta, Lyft and Databricks.
