Shaped is the fastest path to relevant recommendation and search systems. We help companies turn their behavioral data into truly relevant product and website experiences.
We're a Series A company based in Brooklyn, New York and backed by top investors from Madrona, Y-Combinator, and executives from Meta, Google, Amazon and Uber!
About the job
Shaped is seeking a creative and technically skilled Growth Marketer to join our rapidly growing team. We're an AI-powered SaaS company revolutionizing how businesses deliver engaging user experiences through cutting-edge search & recommendation technology. As we scale, we need a talented individual to build compelling demos that showcase the power and versatility of Shaped's platform to prospective clients and the wider market.
As a Growth Marketer, you'll be responsible for developing and executing strategies to attract, engage, and retain customers. You'll work closely with our sales, product, and engineering teams to optimize the entire customer journey, from initial awareness to long-term advocacy. You'll leverage your skills in data analysis, experimentation, and marketing technology to identify growth opportunities and implement impactful campaigns. If you're passionate about data, love testing and learning, and have a proven track record of driving growth in a SaaS environment, we want to hear from you.
What You’ll Be Doing
Campaign Development & Execution
Data Analysis & Reporting
Communication & Collaboration
Experience
What We're Looking For:
Skills & Capabilities
Nice-to-Have
What We Offer
Why Join Our Team?
This role offers a unique opportunity to combine your marketing skills with your creativity and communication abilities to make a significant impact on Shaped's growth. The right candidate will have a passion for building, a love for learning, and a desire to be part of a dynamic and innovative team.
Customers typically use Shaped as follows:
To power all of this, under the hood, we've built a multi-tenanted, real-time machine learning architecture which automatically sets-up and ingests data both in real-time and batch, transforms data and stores it into our proprietary feature/vector store. Ranking models are continuously optimized and fine-tuned based on real-time feedback ensuring customers are seeing the most relevant and up-to-date results possible.
From a machine-learning perspective we use state-of-the-art large scale neural encoding models to understand multi-modal data types such as image, text, audio and tabular data. We provide an exhaustive library of retrieval, ranking and ordering algorithms which are selected based on the specified model definition.
We use both AWS and GCP for cloud. Kubernetes for serverless infrastructure. Python, Javascript and Rust for languages.
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