Tecton

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 Store 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 store.

We are funded by Kleiner Perkins, Sequoia Capital, and Andreessen Horowitz and have a fast-growing team that works out of SF, NYC, and remotely. Our team has 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.

As our Developer Advocate, you will be the public voice of Tecton and Feast to educate data and MLOps communities on the value of our products, developing great content that bridges the gap between our technology and its applications and use cases.

You will also provide guidance to the product and engineering teams on building great product experiences, and support Tecton community activities – such as apply() conferences, Feast community events, and other growth activities.

Responsibilities

• Develop content on use cases and solutions (30%)
• Bridge the gap between our products and their application for solving data and ML engineering challenges.
• Create “Getting Started Guide” and “Tutorials”
• Showcase how Tecton can be used to build solutions and support a variety of use cases (eg. building fraud detection models, operationalizing Snowflake data, serving models with SageMaker, etc)
• Write high-quality code samples to demonstrate our technologies
• Publish compelling blog posts and educational materials including videos
• Drive ‘free trial requests’ (25%)
• Run workshop series with notebook-driven development
• Create and launch “Virtual Hand-On Labs” using the multitenant evaluation
• Engage the community (20%)
• Grow engagement across community channels by 30% YoY, including in the Tecton Community Slack
• Support the apply() conference by being the content expert and speaker liaison
• Be the public voice of Tecton and Feast (20%)
• Become the recognized 'voice of Tecton' within the MLOps community
• Present regularly at meetups and conferences
• Grow speaking opps and meetup participation by 2X, and present at 50% (other 50% run by Eng)
• Provide product and engineering guidance (5%)
• Become the world's top expert at using Tecton to solve applied ML problems
• Be the voice of data and ML engineers to inform product decisions
• Provide actionable early feedback on pre-GA features

Competencies

• Communication - You’re a great communicator and confident speaker at meetups and conferences. You’re a strong writer and can create compelling blog posts and educational materials about complex technical topics. You’re a strong writer and can create compelling blog posts and educational materials about complex technical topics
• Strategic thinking/visioning - You understand the challenges of applied data science and have a strong intuition for what it takes to get projects into production. You have deep empathy for the data engineer and data science personas
• Customer/Community Champion - You have deep empathy for the data engineer and data science personas. You’re outgoing and relationship-focused with a strong customer and community presence. You’re in touch with the MLOps market, understand the ecosystem of tools, and are aware of the trends
• Technical Aptitude - Ability to create data science-focused solutions (eg. fraud detection), hands-on experience with Python, SQL, Spark, and Kafka
• Domain Expertise - You’re in touch with the MLOps market, understand the ecosystem of tools, and are aware of the trends.
• Teamwork - Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship. Excels cross-functionally between product and engineering teams
• Entrepreneurial mindset - scrappy, self-motivated, and resourceful

Qualifications

• 5+ Years of experience
• Has been a data engineer / ML engineer / applied data scientist or built strong empathy for these personas in prior jobs
• Is proficient with Python, SQL, and Spark
• Understands the technical systems that we interface with including data warehouses, data lakes, and data streaming
• This person may have worked at a top-tier tech company on applied ML projects, or may have worked for a leading vendor in the space
• Has been a Developer Advocate at a rapidly growing company with a strong community (eg. Databricks, Snowflake, Confluent, Data Robot, H2O, etc)
• Has an existing followership in our target segment (lots of Twitter followers, or well-established blog or podcast)

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