New
3 weeks ago

Job Summary

This Customer Success Engineer will be responsible for guiding our customer and users to build and implement reliable, scalable data pipelines and integrations, leveraging the Gretel Toolkit. You’ll be working alongside our accounts and solutions engineering teams and act as a subject matter expert, focusing on technical implementations, integrations and usage.

  • Minimum Qualification:Bachelor
  • Experience Level:Mid level
  • Experience Length:3 years

Job Description/Requirements

Who We Are

Gretel is solving the data bottleneck problem for developers, data scientists and AI/ML researchers by providing them with safe, fast and easy access to data without compromising on accuracy or privacy. Designed by developers for developers, Gretel’s APIs make it simple to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster.  We’re disrupting how organizations innovate with data and are looking for talented folks to join our mission! 

 

The Impact You’ll Have

At Gretel, you will be working on ways to make access to data safer, easier and faster without compromising privacy. You'll be building cutting-edge technology to automate the process of synthetic data generation that is provably private using techniques like differential privacy.

This Customer Success Engineer will be responsible for guiding our customer and users to build and implement reliable, scalable data pipelines and integrations, leveraging the Gretel Toolkit. You’ll be working alongside our accounts and solutions engineering teams and act as a subject matter expert, focusing on technical implementations, integrations and usage. Our users are made up of developers, data scientists, data engineers and machine learning experts. 


Responsibilities

  • Serve as the primary internal and external point of contact for your portfolio of existing customers

  • Drive adoption and expansions in collaboration with sales by making use cases wildly successful and seek out additional opportunities

  • Lead the new customer onboarding program and work with core Gretel.ai technical teams to ensure that customer requests and critical issues are resolved in a timely fashion

  • Maintain a regular communication cadence with your customers, including quarterly/executive business reviews

  • Develop a comprehensive understanding of customer health and status through regular customer dialogue and by supervising health and adoption metrics

  • Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team

  • Identify and mitigate risk of churn with a well thought out account add-on strategy built in collaboration with Account Team

  • Become a domain expert on all things ML/Ai and specifically Gretel.ai

  • Assist with the development and implementation of standard methodologies, processes, and tools to continually improve our Customer Success Program

  • Help author and contribute to market-facing publications, documentation, and FAQs

  • Continuously educate your existing customers and additional business units through lunch and learns, educational workshops etc.

  • Build and own the strategy to make the initial use cases successful and find new use cases within the organization to expand Gretel’s footprint

Requirements

  • 3+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.

  • Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling, and upselling.

  • Working knowledge of ML Ops and methodologies

  • Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning, HuggingFace 

  • Experience setting up code/data pipelines, automations, databases and/or containerized workload on cloud platforms (AWS, GCP, Azure) 

  • Proficiency in Python, Data Analysis tools such as Pandas, Scikit-Learn, Plotly

  • World-class reliability – our customers will expect rapid responses to product questions

  • Willing to go the extra mile, great work ethic, resourceful, “get it done” attitude

We think the best ideas come from the blending of diverse perspectives and experiences, which will lead to a stronger company and advancements in technologies.  We hire individuals whose peers call them subject matter experts, whose curiosity draws them to new edges of their field and who like to laugh.  We are deeply collaborative, apolitical and mission-oriented.

Gretel is an equal opportunity employer. Individuals seeking employment and employees at Gretel are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. 

Accommodations: We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. If you need assistance or an accommodation due to a disability, please let your recruiter know.


Compensation

Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits and perks (additional information available on our career site), and stock options as they’ll be reflected in the offer letter. 

Employees hired in the U.S. and Canada can expect the below information to reflect a reasonable estimate of the salary offered for this role. Salary ranges are updated regularly using premium market data. (Please note: it is unusual for new hires to receive a base salary at the top of the range. Additionally, the value of Gretel.ai’s stock options is not included in the salary bands and may represent a significant portion of your compensation.)

(Senior) Customer Success Engineer: base salary $130,000-$180,000 USD + bonus + stock options + benefits


How to apply.

Click on the 'Apply Here' section to be redirected to the application portal.

Important Safety Tips

  • Do not make any payment without confirming with the BrighterMonday Customer Support Team.
  • If you think this advert is not genuine, please report it via the Report Job link below.
Report Job

Share Job Post

Stay Updated

Join our newsletter and get the latest job listings and career insights delivered straight to your inbox.

We care about the protection of your data. Read our privacy policy.

Lorem ipsum

Lorem ipsum dolor (Location) Lorem ipsum USh Confidential

Job Function : Lorem ipsum

5 months ago

Lorem ipsum

Lorem ipsum dolor (Location) Lorem ipsum USh Confidential

Job Function : Lorem ipsum

5 months ago

Lorem ipsum

Lorem ipsum dolor (Location) Lorem ipsum USh Confidential

Job Function : Lorem ipsum

5 months ago

Stay Updated

Join our newsletter and get the latest job listings and career insights delivered straight to your inbox.

We care about the protection of your data. Read our privacy policy.

This action will pause all job alerts. Are you sure?

Cancel Proceed
Follow us On:
Follow us on FacebookFollow us on InstagramFollow us on LinkedInFollow us on TwitterFollow us on YouTube
Get it on Google Play
2023 BrighterMonday