Staff Software Engineer, Tecton
Batch Data
$197-237k
The feature platform for machine learning
Open for applications
The feature platform for machine learning
101-200 employees
Open for applications
$197-237k
101-200 employees
Company mission
To transform the way companies solve real-world problems with machine learning.
Role
Who you are
- Experience working in large Python, Java, Kotlin, or Go codebases and running cloud-native Spark systems (e.g. AWS EMR, Databricks, GCP Dataproc)
- Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobs
- Knowledge of data formats such as Parquet, Avro, Arrow, Iceberg, or Delta Lake and object storage (e.g. S3, GCS)
- Expertise with cloud-scale query performance, query optimization, query planning, heuristic query execution techniques, and cost-driven optimizations
- Experience with internals of distributed systems, SQL/NoSQL databases, data lakes, or data warehouses
- Strong communication skills and ability to write detailed technical specifications
- Excitement about coaching and mentorship of junior engineers
- BSc, MS, or PhD in Computer Science or related fields
- 8+ years of experience in building product software systems
What the job involves
- We are building Rift (talk, blog post) - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB. We also have deep integrations with Spark platforms (Databricks, EMR, Dataproc) and data warehouses (e.g. Snowflake, BigQuery, RedShift), along with performant training data pipelines and a workload orchestration platform
- As a staff-level engineer on the Batch Compute team, you’ll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. Think of this team as the “beating heart” of Tecton
- This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation and helps companies accelerate their path to real-time AI. You will be working in one or more of the following areas to build the next generation of Tecton infrastructure:
- Distributed compute and resource management
- Query optimization and distributed execution
- Cross-platform integrations with state-of-the-art data platforms
- Own and lead large technical domains starting from the problem definition and technical requirements to implementation and maintenance
- Lead multi-engineer projects of strategic importance to Tecton spanning cross-functional teams including product management and other engineering teams
- Drive efforts to improve engineering practices, tooling, and processes along with mentorship for senior engineers
- Develop a deep understanding of the fundamental problems our customers face in building ML systems
- Be a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatile
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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