Senior Sales Engineer
October 13, 2023
Description
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.
Requirements
• 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.
Benefits
• Competitive compensation based on experience • Autonomy, tools, and trust to act like owners • Innovative and transparent culture • Remote work • Inclusive environment • Stock options • Benefits and perks • Accommodations for individuals with disabilities
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