Engineering Manager, Tecton
Feature Engineering
$177-240k
Salary range for candidates based in NY or CA
The feature platform for machine learning
Job no longer available
The feature platform for machine learning
101-200 employees
Job no longer available
$177-240k
Salary range for candidates based in NY or CA
101-200 employees
Company mission
To transform the way companies solve real-world problems with machine learning.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
Tecton provides an innovative solution that makes it possible for all companies to benefit from machine learning, regardless of their level of expertise and experience. The company is committed to the democratisation of artificial intelligence, believing that it is something that all businesses should be able to access, not just the privileged few.
As part of this process, Tecton provides a range of services, ensuring that machine learning applications can be built at business level. The experience of the company makes it possible for businesses to implement machine learning projects in real-time, and then use them to derive insights from the best data available.
Tecton also offers what it believes to be the first enterprise-ready feature store for machine learning, enabling data scientists and engineers to build a library of great features and serve them in production. The unique nature of its product coupled with the CEOs' experience at Uber and Google elevates Tecton above other machine learning companies. With 2022's series C funding, Tecton has been scaling its engineering and go-to-market teams and positioning itself well for future growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jul 2022
$100m
SERIES C
Dec 2020
$35m
SERIES B
Total funding: $160m
Company benefits
- Comprehensive health plans = Our health plan options give you the flexibility to select the right coverage for you and your family. We cover 100% for employees and 80% for dependents
- Remote-friendly work environment - We are remote-friendly and make it easy for our people to be in the office if they want to be
- Parental leave - We offer 8-16 weeks of paid leave to spend quality time with family
- Competitive salary, equity and 401(k) savings plans - We offer meaningful compensation and equity packages that reflect our commitment to hire the best talent
- Wellbeing benefits - We provide a range of benefits that holistically support your physical, mental, and financial wellbeing
- Flexible time off - There is life outside of work. Our flexible policy means every employee is encouraged to take the time they need to rest and rejuvenate
Company HQ
Mid-Market, San Francisco, CA
Leadership
Mike Del Balso
(CEO)Product Manager at Google, then Senior Product Manager at Uber - where they were responsible for Michelangelo. Co-founded Tecton in 2018.
Kevin Stumpf
(CTO)MBA Stanford. Co-found and CTO at Dispatcher. Technical Lead at Uber, involved in Michelangelo project. Co-founded Tecton in 2018.
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