Description
Shaped is building the real-time context engine for AI. Vector databases retrieve documents - we retrieve decisions.
As a Growth Marketer at Shaped, you'll own awareness: making sure every developer and platform team building with AI knows who we are and what we do. That means writing the posts, shipping the videos, showing up where developers hang out, and growing our website traffic, social following, and branded search. This requires someone who can speak engineer and also make content that actually lands - a killer combo!
Experience / qualities
3+ years in growth, content, or developer marketing (bonus if it was at a technical or AI company)
You can write content and record videos - blog posts, launch copy, social, scripts, all of it
You speak "Engineer." You won't write production code, but you can hold a conversation about the cutting-edge
You're genuinely into the developer community: you know why HN rolls its eyes at studio-quality marketing and why a good meme outperforms a polished ad
Execution bias: you'd rather post the scrappy version today than the perfect version next quarter
What you'll be measured on
Website visits
LinkedIn and X followers
Branded search volume on Google
Example responsibilities
Post daily from the Shaped account on LinkedIn, X, and YouTube, and get the team resharing
Publish to our blog, including pairing with engineers to ship case studies and technical writeups
Make launch content - videos, animations, copy that explains what we shipped and why it matters
Create assets for paid on Google, Reddit, X, and LinkedIn
Show up in the communities where developers actually are: Reddit, Hacker News, dev.to and post like a human, not a brand
Organize meetups at our NYC office and attend events
Ship short-form video: Reels, Shorts, TikTok - that grabs attention on developer-focused topics
Ship long-form video - engineer interviews, Shaped tutorials, deep dives
Company
Shaped provides an end-to-end relevance platform for real-time personalization and agent memory. It offers a SQL-like ShapedQL interface to define retrieval and ranking pipelines, supports hybrid semantic and keyword search, and uses embeddings and ML models to tailor results. The system unifies data through 30+ connectors to warehouses, analytics apps, and streaming systems, enabling product and engineering teams to build feeds, search, and AI assistants within a single stack. Enterprise-grade security (SOC 2 Type II, GDPR, HIPAA) and low latency under 50 ms underpin scalable deployments across large datasets and complex use cases.
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