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 a talented Strategic Customer Engagement Manager to join our mission!

The Impact You’ll Have

As a Strategic Customer Engagement Manager at Gretel, you will play a pivotal role in leading the delivery and optimization of customer-facing, cross-organizational programs and solutions. You will take full ownership of these programs and solutions, partnering with customers to understand their needs and timelines, engaging with internal teams to define technical requirements and allocate resources, and collaborating with Applied Science and Engineering teams to ensure seamless execution of customer objectives.

Responsibilities

Develop and construct detailed plans for delivery programs, encompassing timelines, milestones, dependencies, and deliverables, to ensure the successful execution and deployment of Gretel for Enterprise customers.
Collaborate with customers and internal stakeholders to collect, document, and convey project requirements, ensuring clarity, feasibility, and alignment with key objectives.
Guide new customers through the onboarding process, understanding their technical needs and demonstrating how Gretel enhances their capabilities.
Design and implement customer adoption strategies, ensuring a seamless transition and successful use of our product post-sales.
Build and maintain customer relationships by leading customer trainings, presenting product roadmaps, conducting executive briefings, running quarterly business reviews (QBRs), managing escalations, and holding regular status calls.
Promote collaboration and effective communication across internal and external teams, including engineering, product management, applied science, and sales, to ensure alignment and successful execution.
Exhibit a customer-focused mindset by prioritizing client needs, fostering strong relationships, and delivering exceptional service to ensure customer satisfaction and success.
Be the voice of the customer, communicating back experimental results and empirical experience gained from the field and critical for our internal applied science research.
Stay up-to-date with industry trends, best practices, and advancements in generative AI, data privacy, and cloud infrastructure.

Requirements

8+ years of experience in a technical customer-facing role serving Enterprise customers and showcasing a track record of successful project management and product implementation support.
Experience project managing end-to-end technical solutions focused on Generative AI (GenAI) and/or Machine Learning technologies, ensuring alignment with customer objectives and timelines.
Experience developing comprehensive project plans, including timelines, resource allocation, and risk management strategies to ensure delivery of technical solutions.
Experience working with cloud platforms like AWS, Azure, or Google Cloud, and understanding of how they are involved when building AI solutions.
Knowledge of cloud AI tools and how they fit within the AI/ML developer stack.
Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment.
Ability to break down complex problems and resolve them through customer consultation and execution.
Strong communication skills - you will be working directly with both technical and non-technical customers, so we’re extra mindful about verbal and written communication.
Ability to travel up to 20% for potential various events (conferences, team offsites, customer meetings, etc.)

Nice to Haves

Industry expertise working with Enterprise Tech, Enterprise AI, Enterprise Innovators, FSI, and Healthcare companies.
Experience working with modern machine learning frameworks and deep learning models, including fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries, such as Pandas.
Experience working at a growth-stage startup where you were involved in the process buildout and scalability.
Degree in Computer Science, Mathematics, Statistics or similar.

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.)

The anticipated on-target earnings (OTE) for the SCEM role is $200,000 - $260,000, which is inclusive of base salary plus variable incentives such as commissions and bonuses. Stock options will also be a part of the holistic compensation package.