Full-Time

VP of Customer Experience

CX

Confirmed live in the last 24 hours

Gretel

Gretel

51-200 employees

Synthetic data platform for AI development

Enterprise Software
Cybersecurity
AI & Machine Learning

Compensation Overview

$225k - $250kAnnually

+ Variable Bonus + Stock Options + Benefits

Senior, Expert

San Diego, CA, USA

Remote-first company with employees across the US and Canada.

Category
Customer Success Management
Sales & Account Management
Requirements
  • 10+ years of experience working in enterprise delivery, sales and customer management, specifically with cloud service providers, data, machine learning services and GenAI solutions.
  • Demonstrate thorough technical knowledge on engineering of large datasets, effective exploratory data analysis, and model fine-tuning using industry standard AI/ML models and working with small and large language models.
  • Possess a strong background in change management and incorporating organizational change best practices seamlessly into project delivery
  • Experience working with, presenting to, and negotiating with C-level executives, as well as teams from IT, lines of business, procurement, finance, and legal
  • Experience working with generative AI, ML, MLOps or data engineering, including building or fine-tuning models, designing Colab notebooks, utilizing open source libraries, and configuring infrastructure and cloud ecosystems.
  • Experience scaling CX teams, in both pre- and post-sales capacities, with enterprise customers.
  • Demonstrated experience working with a highly technical product and audiences; clear communication and the ability to quickly establish credibility with executive-level and highly technical individual contributors alike.
  • Experience building repeatable processes to improve the customer journey, accelerate delivery, and drive revenue growth.
  • Travel up to 30%-40% to lead customer and prospect meetings and executive engagements, participate in industry events, facilitate partner enablement, and support the development and growth of your organization.
Responsibilities
  • Own the development of a multi-year, strategic partner CX and delivery strategy working closely with Gretel’s executive leadership that aligns with Gretel's growth objectives, directly impacts revenue, and is informed by market trends and analysis.
  • Build and lead a best-in-class, global CX and delivery team, owning and growing key functions such as Field Applied Science, Solutions Architecture, Technical Project Management, Customer Success, and Customer Support.
  • Engage directly with prospects and customers across all industry segments to drive measurable business outcomes with synthetic data (e.g. revenue growth, efficiency gains, operational optimization, accelerated innovation).
  • Cultivate and own executive customer and partner relationships, up to the C-level, ensuring strategic alignment and engagement in the relationship.
  • Leverage your deep industry background to engage and communicate effectively on a wide range of business and technical discussions with customers and partners.
  • Manage collaborative creation of internal/external documents to present strategic opportunities and investment proposals to leadership teams and other stakeholders.
  • Work with the partner team to establish the right delivery structure, governance and control environment for partner programs and strategic accounts.
  • Work with the Head of Partnerships to ensure that partners successfully deliver customer outcomes in accordance with Gretel’s best practices.
  • Develop a deep understanding of our solutions, use cases, ecosystem, and customers’ needs, in order to collaborate with Gretel’s product, applied science, and engineering teams on roadmap priorities guided by the voice-of-the-customer.
  • Design and iterate on Gretel’s customer journey, from discovery through solutioning to implementation and value creation, including processes to ensure customer satisfaction, retention and growth.
  • Oversee Gretel’s enterprise customer base, setting and achieving OKRs and KPIs to measure against strategic business outcomes.
  • Ensure that CX and customer developed assets and use cases are enabled through the product and engineering teams through a continuous improvement process.
  • Develop and support a culture of high performing teams aligned to Gretel and customer business priorities.
  • Support industry evangelism of the product to drive visibility and engagement.

Gretel provides a synthetic data platform that allows developers to create artificial datasets that resemble real data. This helps developers build and test AI models without risking data privacy. The platform is user-friendly, enabling quick access to synthetic data generation in under five minutes. Gretel's business model is based on application programming interfaces (APIs) that facilitate the generation of anonymized data, allowing businesses to innovate while maintaining privacy. The platform also offers features for validating AI models with quality and privacy scores. Gretel serves a diverse clientele, including developers and enterprises, and is available on the Google Cloud Marketplace. The company generates revenue by offering its platform as a service, where clients pay based on the amount of synthetic data they generate. Overall, Gretel aims to empower developers and enterprises to safely create the data they need for AI projects.

Company Stage

Series B

Total Funding

$63.7M

Headquarters

Palo Alto, California

Founded

2020

Growth & Insights
Headcount

6 month growth

33%

1 year growth

40%

2 year growth

96%
Simplify Jobs

Simplify's Take

What believers are saying

  • Gretel's recent $50 million funding round provides substantial financial backing for further innovation and growth.
  • The launch of new features and datasets, such as the multilingual synthetic financial dataset and Text-to-SQL dataset, demonstrates Gretel's commitment to continuous improvement and addressing market needs.
  • Partnerships with industry giants like AWS and Illumina open up new avenues for market expansion and technological advancements.

What critics are saying

  • The niche focus on synthetic data may limit market size compared to broader AI and data service providers.
  • Rapid technological advancements in AI and data privacy could render Gretel's current offerings obsolete if they fail to keep pace.

What makes Gretel unique

  • Gretel.ai specializes in synthetic data generation, a niche yet crucial area in AI and data privacy, setting it apart from general AI and data service providers.
  • The platform's user-friendly design allows developers to start generating synthetic data in less than five minutes, a significant advantage over more complex solutions.
  • Strategic collaborations with major players like AWS and Illumina enhance Gretel's credibility and reach in the market.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Healthcare

Phone & internet

WFH

Flexible PTO

Home office stipend

401k