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General Context | Founding Engineer | NYC (Preferred) or Remote | $180-200K + Equity |
Role
As a Founding Engineer, you'll help build our marketing intelligence platform and the core infrastructure that powers it. This is a ground-floor opportunity to architect and ship the foundational systems (data pipelines, ML infrastructure, services, and user experiences).
You'll own major technical decisions, and shape both the product and engineering culture. This isn't a role where you execute someone else's vision. You will help define what we build and how we build it. The best FE’s will also help build our Forward Deployment Team in 2026-2027 as we scale.
Responsibilities
- Architect and build core data infrastructure for ingesting, processing, and analyzing multi-source marketing data at scale
- Craft delightful user experiences that scale with context
- Build ML pipelines for creative analysis, competitor intelligence, and performance optimization
- Own technical decisions across the stack, making smart tradeoffs between speed and scalability
- Ship constantly. Move fast, iterate quickly, and maintain high code quality
- Be the voice of engineering in product and business decisions
About
Our mission is to automate consumer marketing. We're creating context-aware systems that analyze the full spectrum of marketing data (competitor intelligence, social listening, creative performance, audience signals, market dynamics) and connect to a companies entire marketing stack to manage the entire marketing funnel end-to-end.
We're a small, talent-dense team. We value speed over perfection, ownership over process, and direct communication over corporate speak. We particularly like people who are truthseeking, technically excellent, and obsessed with shipping. We enjoy spirited debate, hard problems, and building things that win.
We're venture-backed and based in NYC.
Applying
Send us an email at [caleb@generalcontext.com] with your resume or LinkedIn, a brief note on why you're interested, and a link to GitHub, portfolio, or something you've built.
If there appears to be a fit, we'll schedule 2-3 short calls to discuss your background, past projects, and architecture thinking. After, we'll schedule an onsite (or extended video session) where you'll work on a small project, discuss ideas, and meet the team. We move fast for the right people.
Compensation Range: $180K - $200K
Salary Context
This $180K-$200K range is above the median for AI/ML Engineer roles in our dataset (median: $172K across 745 roles with salary data).
View full AI/ML Engineer salary data →Role Details
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