Technical Support Engineer, Tecton
Machine Learning
$111-135k
+ Equity. Salary shown is for candidates based in California or New York only
The feature platform for machine learning
Open for applications
The feature platform for machine learning
101-200 employees
Open for applications
$111-135k
+ Equity. Salary shown is for candidates based in California or New York only
101-200 employees
Company mission
To transform the way companies solve real-world problems with machine learning.
Role
Who you are
- 3+ years of experience
- Knowledge of SQL
- Knowledge of Python and/or PySpark
- Basic knowledge of networking
Desirable
- Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch
- Knowledge of JIRA, Github, or Gitlab
- Experience with data platforms such as Spark, Databricks, EMR, Snowflake, or BigQuery
- Distributed file system
- Experience with AWS, GCP, and Kubernetes
- Past experience working in a customer-facing role (IT Support, HelpDesk, Retail, and similar)
- Bachelor or Masters Degree in Data Science, Statistics, CS, or Information Sciences
What the job involves
- As a Technical Support Engineer at Tecton, you're instrumental in ensuring clients' seamless use of the company's machine learning operations (MLOps) platform
- Your main focus is providing expert technical assistance and troubleshooting guidance to customers, swiftly addressing any issues they encounter while utilizing Tecton's platform
- This involves deep product knowledge, proficiency in relevant technologies and programming languages, and adept communication skills to effectively assist customers from diverse technical backgrounds
- In addition to reactive support, you take a proactive approach by monitoring platform performance and collaborating with internal teams to implement solutions and enhancements
- Your contributions extend beyond issue resolution to include the creation of knowledge base materials and training resources, empowering customers to optimize their use of Tecton's platform independently. Your role is pivotal in delivering exceptional customer experiences and bolstering Tecton's position as a leader in MLOps solutions
- Take end-to-end ownership of customer issues, including troubleshooting, identification of root cause together with the Engineering team, and issue resolution
- Collect information and document bugs for product issues impacting customers
- Build process or troubleshooting documentation in the support knowledge base
- Write comprehensive knowledge base articles to aid customers in issue resolution and product understanding
- Deliver against customer experience and efficiency targets
- Assess and prioritize customer cases to ensure timely response and resolution according to service standards and best practices, with an emphasis on escalated cases
- Meet or exceed customer expectations on response quality, timeliness of responses, and overall customer experience
- Serve as internal and external point of contact on customer matters and ensure customer issues are resolved as expediently as possible
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
Insights
Few candidates hear
back within 2 weeks
17% female employees
33% employee growth in 12 months
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 values
- We are one team
- We put people first
- We are open and transparent
- We take winning seriously and have fun
- We are doers
- We are owners, not renters
- We break down walls
- We fight for the truth
- We are leaders
- We serve the customer
- We think big and work backward
- No shenanigans!
Company HQ
Mid-Market, San Francisco, CA
Articles
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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