Engineering Manager, Tecton
Compute Infrastructure
$219-292k
Salary applicable to candidates based within California & New York
The feature platform for machine learning
Be an early applicant
The feature platform for machine learning
101-200 employees
Be an early applicant
$219-292k
Salary applicable to candidates based within California & New York
101-200 employees
Company mission
To transform the way companies solve real-world problems with machine learning.
Role
Who you are
- Minimum of 2 years of people management experience managing teams of 5+ engineers
- Minimum of 7 years of software engineering experience (IC + manager)
- Minimum of 3 years of experience building data or compute platforms
- Hands-on experience with big data compute platforms such as Data Warehouses (Snowflake, Redshift, BigQuery) and Spark (Databricks, EMR)
- Hands-on experience building infrastructure/platforms that enable other internal teams to deliver business value more rapidly
- Nice-to-have: enterprise experience
What the job involves
- As an Engineering Manager on the Compute Infrastructure team, you will play a critical role in shaping the team’s strategic direction and implementation of the building blocks that power Tecton’s data computation engine
- The CI team makes it easy to spin up new highly available and performant compute workloads across our Batch, Streaming, and Realtime use-cases, for both Spark and our in-house Rift Platform
- You will partner across the business to develop enterprise-grade solutions to core engineering challenges that impact multiple parts of the Tecton platform
- Multi-Cloud Orchestration at Scale - building cloud-agnostic APIs that provision and manage dynamic compute workloads across first- and third-party compute platforms on multiple Cloud providers
- Unified Observability - creating consolidated metrics and logging infrastructure spanning batch jobs, long-running services, and real-time workloads
- Seamless Python packaging -supporting Python-native environments that safely combine Tecton’s first-party requirements with customer-defined dependencies
- These challenges combine cutting-edge platform engineering with real business impact at the intersection of ML infrastructure and enterprise-scale data processing
- Lead and grow a high-performing team of software engineers, providing mentorship, career development, and recruiting top talent
- Drive the roadmap for Tecton's self-service compute infrastructure platform, ensuring alignment with business objectives
- Deliver cloud-agnostic APIs and abstractions that enable teams to deploy and manage compute workloads with enterprise-grade reliability
- Partner with peer managers to shape cross-team technical roadmaps and align core operational requirements across batch, streaming, and real-time capabilities
- Make strategic prioritization decisions and manage execution risks to ensure on-time delivery of platform capabilities without compromising quality
- Maintain accountability for team success, proactively identifying blockers and opportunities while fostering a collaborative, product-minded engineering culture
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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