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Tecton
San Francisco, CA, United States
At Tecton, we are on a mission to bring Machine Learning to every customer and product interaction on the planet. We build an enterprise-grade, world-class Feature Platform - the infrastructure that powers real-time ML applications and systems in production. Tecton's founders developed the first Feature Store when they created Uber's Michelangelo
Job Source: TectonTecton Corporation
San Francisco, CA, United States
At Tecton, we solve the complex data problem in production machine learning. Tecton's feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts 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
Job Source: Tecton CorporationTecton
San Francisco, CA, United States
At Tecton , we solve the complex data problem in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts 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
Job Source: TectonTecton
San Francisco, CA, United States
At Tecton , we solve the complex data problem in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts 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
Job Source: TectonVerkada
San Mateo, CA, United States
Who We Are Verkada is the largest cloud-based B2B physical security platform company in the world. Only Verkada offers six product lines - video security cameras, access control, environmental sensors, alarms, workplace and intercoms - integrated with a single cloud-based software platform. Designed with simplicity and scalability in mind, Verkad
Job Source: VerkadaVolley (volley.com)
San Francisco, CA, United States
Role summary Volley is a leader in the voice-activated entertainment space with AI at the core powering voice-driven games for our users including speech recognition and proprietary systems that build upon Natural Language Understanding (NLU). We are pioneers in leveraging generative AI for gaming with 20 Questions being one of the first LLM-power
Job Source: Volley (volley.com)Perplexity AI
San Francisco, CA, United States
Perplexity is looking for an engineering manager to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading engineering teams across the full AI and product stack. The Perplexity product and AI teams design, create, and ship products across the web and mobile experience. Enginee
Job Source: Perplexity AICheckr, Inc.
San Francisco, CA, United States
Checkr is looking for an Engineering Manager to lead the Verifications team. The team is responsible for the end to end experience of our screening products including the candidate and customer experience, order fulfillment and screening lifecycle logic, and vendor integrations across both existing and net new offerings. As the Engineering Manager
Job Source: Checkr, Inc.San Francisco, CA, United States
At Tecton, we solve the complex data problem in production machine learning. Tecton's feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts 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.
As an Engineering Manager for our Feature Engineering team, you will play a critical role in shaping the team's strategic direction and implementation of Tecton's core Feature Engineering SDK, APIs, and developer toolkit. Feature Engineering owns the abstractions and APIs used to build sophisticated ML pipelines used by thousands of developers. The team effectively owns the "hot path UX" through Tecton. Your leadership and technical expertise will directly influence Tecton's core user experience from sign-up through feature development and finally production. You'll partner with Product, Design, and Marketing, and Field teams to define the roadmap that helps companies ranging from Fortune 100s to startups accelerate their path to real-time AI.
Responsibilities
Developer-centric APIs, Python SDKs, and CLIs
APIs and workflows to support common real-time ML use cases, such as RecSys and Fraud Detection
Interoperability between Tecton's logical compute definitions and physical compute integrations, such as Rift
Core user workflows to support that path from feature development, and iterative model training, to production feature serving
Key Responsibilities Leading, and coaching a talented engineering team ranging from junior to staff-level engineers
Building product and infrastructure for Tecton's Feature Engineering frameworks and enabling customer adoption of new features
Recruiting top-tier engineering talent, building an organized and sustainable team, and partnering with internal and external stakeholders
Partnering with cross-functional teams to build product vision and strategy
Efficiently executing on an aggressive product roadmap by building new features and managing technical debt levels
Qualifications 7+ years of software engineering experience for high-scale products or infrastructure
3+ years of experience working on ML engineering or developer-centric platforms
2+ years of people management experience for a group of engineers
Passion for Product and building intuitive, high-quality developer tooling, APIs, and DSLs
Experience with Batch and Streaming Data Pipelines
Strong communication and ability to write detailed technical specifications
Excitement about coaching and mentorship of engineers
(Nice-to-have) Experience working on large Python projects
(Nice-to-have) Experience working with versioned APIs and client backward compatibility
$200,000 - $273,000 a year
The estimated US base salary range for this position is $200,000 - $273,000 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 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.
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Email Alert for Engineering Manager, Feature Engineering jobs in San Francisco, CA, United States
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