General Context | Founding Engineer | NYC (On-Site) | $180-220K + Equity |
Role
As a Founding Engineer, you'll help build our agentic marketing/creative 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.
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 building context-aware agents that analyze the full spectrum of marketing data (competitor intelligence, social listening, creative performance, audience signals, market dynamics), connect to a businesses entire marketing stack, and produce outputs that increase performance across 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
Apply here. 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.
Skills Required
- Architect and build core data infrastructure for ingesting, processing, and analyzing multi-source marketing data at scale
- Build ML pipelines for creative analysis, competitor intelligence, and performance optimization
- Design and maintain ML infrastructure and data pipelines to support production systems
- Develop scalable services and delightful user experiences across the stack
- Own technical decisions, tradeoffs between speed and scalability, and shape engineering culture
- Move fast, iterate, and maintain high code quality while shipping continuously
- Collaborate with product and business stakeholders and act as engineering’s voice in decision making
What We Do
General Context builds Spyglass, a creative intelligence and search platform for brands, agencies, and growth teams. It indexes ads, organic content, creators, landing pages, and related strategy across major social platforms, then uses AI-powered search, trend tracking, competitive analysis, and alerts to help teams discover winning creative, understand audience and funnel patterns, and brief campaigns from evidence rather than guesswork.
