At Tecton, we solve the complex data problems in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions, abstracting away the complex engineering to speed up innovation.
Tecton’s founders developed the first Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world.
Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
Tecton’s Realtime Data team builds high-performance online infrastructure that power AI inference at 100K+ QPS with millisecond latency. Our services have tight SLAs on availability and latency and are often used in mission-critical applications by enterprises.
This position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.
Responsibilities
Develop and communicate a clear 18-month technical vision to align the team and guide our development efforts
Architect and implement solutions to scale our serving platform to handle millions of requests per second with low latency and high availability
Evolve Tecton’s query execution engine to support complex, multi-stage queries with user-defined Directed Acyclic Graphs (DAGs)
Build an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces
Launch our serving infrastructure across multiple cloud platforms, ensuring compliance with security protocols and data residency requirements
Assess and prioritize tasks, demonstrating a keen awareness of performance-critical areas
Qualifications
7+ years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent software systems
Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, with strong proficiency in building high throughput infrastructure
Experience with Database Query Engines
Experience with at least one of AWS, GCP
Experience with low latency online storage like DynamoDB, Redis, and BigTable
Experience with Data warehouses like Snowflake, BigQuery, Object Storage like S3
The estimated US base salary range for this position is $216,000 - $258,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.
Tecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month.
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 origin, 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 the application through to the interview, please contact us at [email protected].
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Top Skills
What We Do
Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature store to make world-class machine learning accessible to every company.
Machine learning creates new opportunities to generate more value than ever before from data. Companies can now build ML-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes.
But ML models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage ML data. Most companies don’t have access to the advanced ML data infrastructure that is used by the internet giants. So ML teams spend the majority of their time building custom features and bespoke data pipelines, and most models never make it to production.
We believe that companies need a new kind of data platform built for the unique requirements of ML. Our goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.
