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.
As a Technical Account Manager at Comet, you will be responsible for guiding our largest Enterprise customers to accelerate their adoption of the Comet platform, ensuring customers receive the value they anticipated.
The Technical Account Manager proactively works with a broad set of customer stakeholders to illustrate the value delivered through Comet’s software and services. The TAM also serves as the internal voice of the customer, advocating on their behalf when working with other Comet teams and partners and driving alignment across Customer Engineering, Deployment Engineering, Sales, Marketing, and Product. You will also work with the broader team to identify and drive key initiatives, processes, tools, and programs to scale for growth.
This position reports directly to the VP of Customer Engineering. This individual's performance is based on specific metrics associated with 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.
- Drive value for customers by helping them achieve their business and technical outcomes.
- Gain an understanding of customer’s use cases and machine learning goals to ensure Comet is strategically aligned to their desired business outcomes.
- Project manage the deployment and roll out of Comet across customer’s data science teams.
- Identify adoption and growth potential in your portfolio and advise your team and customers accordingly.
- Conduct periodic customer health checks to identify risk and work with your team to create and execute plans to reduce this risk.
- Collaborate cross functionally across teams including Customer Engineering, Sales and Product to ensure customers' success with focus on adoption, value and retention.
- Provide continued input and ideas to scale and improve internal processes and increase operational efficiency for the customer success organization.
- Leverage Customer Health analytics to identify customer upsell opportunities & churn risks.
Core Skills & Competencies:
- Solid understanding of current ML and MLOps landscape (applications, tools, new research) - A Must.
- Basic knowledge of Python.
- Basic experience working with the major cloud providers (AWS, Azure, GCP).
- Basic understanding of the processes required to deploy, upgrade and maintain software on customer infrastructure.
- Passion for providing outstanding customer experiences.
- Quick problem solver with exceptional attention to detail.
- Strong communication and presentation skills; even better listening skills.
- 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.
- Track record of proactively improving internal and customer-facing processes and systems.
Qualifications:
- 4+ years of experience working directly with customers and partners in the data science and machine learning domain, or in the data management space: big data and analytics, data integration, major cloud platforms (AWS, GCP, Azure).
- 4+ years of people management experience with customer success, technical consulting, professional services , or related customer-facing organizations.
- Strong track record of managing a portfolio of customers to drive product adoption, or responsible for delivering complex customer projects.
- Proven ability to manage competing priorities in a fast-paced environment.
- Travel a couple of times per quarter, or more, as the business requires.
This role will be fully remote in the USA or based in New York City and working with a global team (large presence in Tel Aviv and Europe).
Base salary range : $130K - $180K