Consulting Architect

Tecton in Austin, TX

At Tecton, we are on a mission to bring world-class Machine Learning to every product and customer experience. Tecton’s founders developed the first Feature Platform when they created Uber’s Michelangelo ML platform. In pursuit of bringing ML to every production application, we have since brought the leading commercial feature store to market and built the most popular open-source feature platform.

We are funded by Sequoia Capital and Andreessen Horowitz and have a fast-growing team that works out of SF, NYC, and remotely. Our team has extensive years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Facebook, Airbnb, Twitter, and Quora, and we’re now bringing those same capabilities to every organization in the world.
Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national original, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.  If you would like to request any accommodations from application through to interview, please contact us at recruitingteam@tecton.ai
    • Collaborate with the Engagement Manager, pre-sales, and sales team to understand customer needs and business requirements/objectives
    • Design, architect and implement Tecton that will be set up for success in production
    • Contribute to the creation of a project plan, that includes detailed steps and timelines, helping provide visibility internally and externally to the  status of the project
    • Drive consensus on technical decisions quickly and effectively, while also keeping timelines and scope of work on track
    • Be an expert in product, driving material impact and contributions back to the business. As an expert in the field, the role will have high levels of influence on customers' needs and potential product improvements
    • 4+ years of experience in a technical sales or consulting capacity with enterprises, focusing on complex solution sales of mission-critical data systems (databases, data warehouses, big data systems, analytics, and/or machine learning)
    • Deep technical understanding of data engineering and ML tooling, workflows, and trends in enterprise setting
    • Proficiency in Python, Spark, and/or SQL with experience developing ETL applications
    • Excellent communication and presentation skills, with comfort in objection handling
    • Hands-on experience with AWS
    • Databricks and/or Snowflake experience is a major plus
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