At a Glance
- Tasks: Help clients troubleshoot and optimise their use of Tecton's MLOps platform.
- Company: Join Tecton, a leader in machine learning solutions backed by top investors like Sequoia Capital.
- Benefits: Enjoy remote work flexibility, competitive salary, and comprehensive health benefits.
- Why this job: Be part of a fast-growing team shaping the future of machine learning with impactful solutions.
- Qualifications: 3-5 years in technical support, strong skills in Python, SQL, and cloud computing preferred.
- Other info: Tecton promotes diversity and offers a hybrid working policy for better work-life balance.
The predicted salary is between 72000 - 84000 Β£ per year.
At Tecton, we solve the complex data problems in production machine learning. Tecton's feature platform makes it simple to activate data for smarter models and predictions, abstracting away the complex engineering to speed up innovation. 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 thatβs distributed around the world, with offices in San Francisco and New York City.
As a Technical Support Engineer at Tecton, you will be a cornerstone of customer success, delivering expert technical assistance and troubleshooting for Tecton's machine learning operations (MLOps) platform. Your role involves swiftly resolving client issues through deep product knowledge, technical proficiency, and clear communication, while also proactively monitoring platform performance and collaborating on enhancements. Furthermore, you will empower users by creating valuable knowledge base content and training materials, ultimately ensuring exceptional customer experiences and solidifying Tecton's leadership in MLOps solutions.
ResponsibilitiesYour 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.
- Take end-to-end ownership of customer issues, including troubleshooting, identification of root cause together with the Engineering team and issue resolution.
- Pilot new Tecton features with customers and collect feedback.
- Collect information and document bugs for product issues that are impacting customers.
- Build process or troubleshooting documentation in the support knowledge base.
- 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.
To excel as a Technical Support Engineer at Tecton, candidates must possess a minimum of 3-5 years of technical support experience in the software or technology industry, ideally coupled with a bachelor's degree in Computer Science or a related field. Demonstrated proficiency in troubleshooting complex technical issues, strong communication and analytical skills, and a proactive, solution-oriented attitude are essential.
- Technical expertise in software applications, programming languages like Python, and SQL for data querying and manipulation is required.
- Experience in cloud computing concepts (AWS, Azure, Google Cloud Platform) is highly advantageous.
- 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, Snowflake, or BigQuery.
- Experience with AWS, GCP, and Kubernetes.
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.
Technical Support Engineer employer: Tecton, Inc
Contact Detail:
Tecton, Inc Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Technical Support Engineer
β¨Tip Number 1
Familiarise yourself with Tecton's MLOps platform and its features. Understanding the product inside out will not only help you answer questions confidently but also demonstrate your genuine interest in the role during any discussions.
β¨Tip Number 2
Brush up on your technical skills, especially in Python and SQL, as these are crucial for troubleshooting. Consider working on small projects or exercises that involve data manipulation to showcase your proficiency.
β¨Tip Number 3
Prepare to discuss your previous customer-facing experiences. Think of specific examples where you successfully resolved technical issues or improved customer satisfaction, as this will highlight your problem-solving abilities.
β¨Tip Number 4
Network with current or former employees of Tecton on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during interviews.
We think you need these skills to ace Technical Support Engineer
Some tips for your application π«‘
Tailor Your CV: Make sure to customise your CV to highlight relevant experience in technical support, particularly in software or technology. Emphasise your proficiency in troubleshooting, programming languages like Python and SQL, and any experience with cloud computing.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Tecton and how your skills align with their needs. Mention specific experiences that demonstrate your ability to provide exceptional customer support and your proactive approach to problem-solving.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include any familiarity with machine learning tools, data platforms, and programming languages. This will help demonstrate your capability to handle the responsibilities of the Technical Support Engineer role.
Highlight Customer-Facing Experience: If you have past experience in customer-facing roles, make sure to highlight this in your application. Discuss how youβve successfully resolved customer issues and contributed to customer satisfaction, as this is crucial for the position at Tecton.
How to prepare for a job interview at Tecton, Inc
β¨Showcase Your Technical Skills
As a Technical Support Engineer, you'll need to demonstrate your proficiency in troubleshooting complex technical issues. Be prepared to discuss your experience with programming languages like Python and SQL, as well as any relevant cloud computing knowledge. Highlight specific examples where you've successfully resolved technical challenges.
β¨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining technical concepts in simple terms, as you will be assisting clients from diverse technical backgrounds. During the interview, focus on how you can convey complex information clearly and ensure that customers feel supported.
β¨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of past experiences where you had to troubleshoot an issue or improve a process. Be ready to explain your thought process, the steps you took, and the outcome, showcasing your proactive approach to customer support.
β¨Familiarise Yourself with Tecton's Products
Research Tecton's MLOps platform and understand its features and functionalities. Being knowledgeable about the company's products will not only help you answer questions more effectively but also demonstrate your genuine interest in the role and the company. Consider how your skills align with their mission to enhance machine learning operations.