Engineering Manager @ Tecton

INACTIVE

Full-Time

Engineering Manager

Posted on 3/22/2024

Tecton

51-200 employees

Machine learning feature platform with data pipelines

Data & Analytics

Senior

Remote in USA

Required Skills

Python

Requirements

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

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

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

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.

Tecton

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Website

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Tecton offers a feature platform for machine learning, enabling the creation, automation, and centralization of production-ready batch, streaming, and real-time data pipelines. The platform leverages technologies such as SQL, PySpark, SnowPark, and Python to define feature logic, and supports batch, streaming, and real-time data processing for fresh feature values.

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights

Headcount

6 month growth

↑ 9%

1 year growth

↑ 18%

2 year growth

↑ 124%

Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO

INACTIVE