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Senior Sales Engineer



Sales & Business Development
United States · Canada
Posted on Tuesday, August 1, 2023

Who We Are

At Gretel, our mission is to build the world’s first developer platform for synthetic data. Gretel's APIs automatically fine-tune AI models to generate synthetic data on-demand while protecting privacy and maintaining the utility and accuracy of the original data. Our platform solves the data bottleneck problem for developers, data scientists, and AI/ML researchers across multiple modalities including tabular, time-series, relationship, language and image.

We’re a highly collaborative remote company with employees across the US & Canada. Our innovative and transparent culture offers employees the autonomy, tools, and trust to act like owners, and we're looking for a talented Senior Sales Engineer to join our mission!

The Impact You’ll Have

As a Senior Sales Engineer, you'll work side-by-side with our Account Executives to articulate Gretel’s mission and value, as well as to differentiate the platform throughout the sales process and drive proof of concepts (POC) from requirements gathering to close. The activities performed by a Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Gretel to a technical executive, and the next day you might be working hands-on to develop a small but impactful POC.

You will play a critical role in driving the success of our sales efforts by combining your technical expertise, pre-sales experience, and data-focused background to support our customers in achieving their data privacy goals.


  • Collaborate closely with the sales team to understand customer needs and objectives in detail.

  • Leverage your in-depth knowledge of Gretel's products to provide customized technical solutions that align with customers' requirements.

  • Develop strategies across sales, engineering, and product to remove deal and customer roadblocks.

  • Proactively identify gaps in our product based on evaluating customer needs, and build solutions to address those gaps.

  • Act as a trusted advisor to customers by understanding their data challenges and offering technical guidance and solutions that address their unique requirements.

  • Build custom prototypes and product demos that highlight end-to-end operationalized use cases in Gretel.

  • Be the connective tissue between Product, Engineering, Applied Science, Partnerships, and the customer.

  • Stay up-to-date with industry trends, best practices, and advancements in generative AI, data privacy, and cloud infrastructure. Lead discovery to understand prospect's ML and engineering stack to collaborate with the Sales team to construct a compelling value proposition of Gretel’s platform.


  • 5+ years of experience in a pre-sales or other technical customer facing role, showcasing a track record of successful technical sales support, ideally within the data privacy or data security space.

  • Fluency scripting or coding in Python and working with open-source libraries.

  • Strong technical background in roles related to working with data, such as software engineering, machine learning engineering, data science, or similar fields with a demonstrated understanding of cloud infrastructure and services.

  • Exceptional presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

  • Ability to operate with high horsepower, adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

  • Battle-tested in rolling out multi-cloud/hybrid solutions with complex requirements, ideally with forms of public sector compliance.

  • Capable of owning problems end-to-end, and willingness to pick up whatever knowledge may be missing to get the job done.

  • Passion for thriving in a dynamic and ambiguous environment.

  • Willingness to travel occasionally (up to 20%) for customer meetings, conferences, and industry events as needed.

Nice To Haves

  • 3+ Years of experience working with state-of-the-art machine learning and deep learning models.

  • 3+ Years of exposure to modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, Hugging Face, transformers).

  • Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure.

  • Knowledge of data privacy concepts, data security, and data privacy regulations including anonymization, de-identification, privacy by design, GDPR, etc.

  • Experience implementing or working with data anonymization or data obfuscation techniques is preferred.

  • Previous experience within a team that underwent a high growth stage.

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.


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, commission/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’s stock options is not included in the salary bands and may represent a significant portion of your compensation.)

The annual salary range for this role is $180,000-$210,000 USD, plus variable incentives such as commissions and bonuses.