<link id='css--app'rel="stylesheet" href="/dist/css/app.min.css"> Opportunities – Trilogy

Opportunities

Enterprise Technical Account Manager at Comet.ml
New York City, NY, US / Remote

Join us to advance data science and machine learning.

Comet is accelerating the machine learning development process for data science and ML teams. From the individual data scientist tracking training runs to the enterprise team moving hundreds of models into production, Comet is the platform used by some of the most innovative builders in the industry. We started Comet to make it possible for teams to manage and optimize models across the complete ML lifecycle and achieve business value faster. 

You’re welcome here

Working in Comet’s fast, dynamic startup environment is challenging and fun. We are looking for people who are customer-focused, work collaboratively, and want to be a voice in advancing Comet’s leadership in the marketplace. If you are excited about empowering technology innovators around the globe in creating world-changing machine learning models, Comet is the right place for you.

Comet is backed by more than $63 million in venture-capital funding, and we are the MLOps platform of choice for teams at Ancestry, The RealReal, Uber, WorkFusion, and Zappos. We are a remote-first company with offices in New York City (U.S.A.)  and Tel-Aviv (Israel). And we’re just getting started. CRN featured Comet as one of the 10 hottest machine learning and data science startups in 2021.

Comet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.

Motivation:

The Comet Enterprise Technical Account Manager is responsible for serving large enterprise accounts with advanced data science teams. The Enterprise TAM proactively works with a broad set of customer stakeholders to illustrate the value delivered through Comet’s software and services.

The Enterprise TAM also serves as the internal voice of the customer, advocating on their behalf when working with other Comet teams and partners.

This position will be a key player in expanding the Customer Success team’s processes and delivery. This individual's performance is based on specific metrics associated with customer software adoption, customer satisfaction, revenue growth, and retention.

Key Responsibilities:

  • Actively serve global accounts including some of the world’s leading organizations in financial services, insurance, pharmaceuticals, transportation, and technology.
  • Gain an understanding of customer’s use cases and machine learning goals to ensure Comet is strategically aligned to their desired business outcomes.
  • Facilitate the onboarding and software adoption of hundreds of data scientists through structured training and ongoing support. 
  • Partner with Comet’s DevOps Engineers to project manage the successful and efficient deployment of Comet’s software.
  • Provide guidance to customer organizations on how to leverage Comet to implement data science best practices.
  • Leverage Customer Health analytics to identify customer upsell opportunities & churn risks.
  • Collaborate with the Comet Sales team to expand customer relationships and facilitate renewals.
  • Effectively escalate and communicate updates on ad-hoc customer issues.
  • Inform customers of Comet’s Product roadmap and provide continuous customer feedback and prioritization to Comet’s Product team.
  • Stay current on Comet’s products, competitive landscape, and data science trends.
  • Proactively contribute to the TAM team’s methodologies.

 

Core Skills & Competencies:

  • Passion for providing outstanding customer experiences.
  • Empathy in troubleshooting and resolving issues. 
  • Strong verbal/written communication and presentation skills; even better listening skills
  • General knowledge of the machine learning industry and strong interest to learn Python and ML frameworks such as Keras, PyTorch, Tensorflow
  • Experience establishing credibility with senior decision-makers, especially those in engineering leadership
  • Track record of thinking analytically to create solutions that deliver real business value
  • Strong organizational skills when juggling multiple accounts and assignments
  • An intrinsic motivation to exceed goals and help others do the same

Qualifications:

  • B.S. or B.A. in data science, computer science or similar practical field preferred
  • Demonstrated experience serving enterprise customers at a highly technical software company
  • Knowledge of the Big Data space, cloud technology, and on-premise software
  • Demonstrated experience with using data and analytics to drive decision making
  • 3-6 years of prior technical account management, customer success, solutions consulting, or equivalent customer-facing experience
  • Ability to travel up to 15% of the time