Top Customer Success Jobs

Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster and 10x better. Cresta is focused on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights from every conversation and put those insights into action with real-time coaching during customer conversations.

We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Verizon, and Mutual of Omaha and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.

As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects of our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, building 0->1 solutions to problems, and external presentations, then we’d love to talk!

What You'll do:

• Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
• Design, create, and maintain self-serve internal tooling that can be used for communicating value and enabling others to answer questions
• Analyze large corpuses of conversations using the latest research in NLP (e.g., LLMs): an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers

• Proficiency in Python, SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows
• 3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
• Strong knowledge of statistics and experimental design
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
• The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
• Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)
• Bonus: experience leveraging LLMs to solve real-world business problems in production

Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster and 10x better. Cresta is focused on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights from every conversation and put those insights into action with real-time coaching during customer conversations.

We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Verizon, and Mutual of Omaha and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.

As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects of our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, building 0->1 solutions to problems, and external presentations, then we’d love to talk!

What You'll do:

• Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
• Design, create, and maintain self-serve internal tooling that can be used for communicating value and enabling others to answer questions
• Analyze large corpuses of conversations using the latest research in NLP (e.g., LLMs): an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers

• Proficiency in Python, SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows
• 3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
• Strong knowledge of statistics and experimental design
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
• The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
• Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)
• Bonus: experience leveraging LLMs to solve real-world business problems in production

Company Description

Tamr is the enterprise data mastering company trusted by large enterprises like Blackstone, the US Air Force, Toyota, and Thermo Fisher. The company’s patented software platform uses machine learning supplemented with human feedback to master and prepare data across myriad silos to deliver previously unavailable business-changing insights. With a co-founding team led by Andy Palmer (founding CEO of Vertica) and Mike Stonebraker (Turing Award winner) and backed by top-tier investors such as NEA and GV, Tamr is transforming how companies get value from their data.

Job Description

Tamr DataOps Engineers are highly technical data scientists and engineers who understand all aspects of the business. We know how to pitch the product to anyone from software architects to business executives. Often we’re working on the most challenging problems in the enterprise and we have to dig deep to understand the business value and deliver technical solutions. As the company’s outward-facing, technical resource, the work of the whole group is varied. We deploy full production rollouts, implement pilot solutions, build prototypes, do direct product development, and collaborate with sales on accounts. DataOps engineers are expected to be highly efficient and resourceful when leading these projects.

Qualifications

We are looking for someone who loves data engineering, and has a genuine interest in being customer-facing. We are building and selling a human-in-the-loop machine learning platform for the enterprise to help companies automatically unify and categorize their data to drive new analytic insight. This requires collaborating closely with the customer, including understanding their needs, delivering tangible results, and enabling them to use our product.

Challenges that make this job interesting:

• The problem we’re solving is hard - enterprise data is messy and there is a lot of it. It’s our job to derive value from this data in a flexible and scalable way
• Every customer is different - while there are similar use cases that we see repeatedly, every account presents new challenges and we need to be able to adapt quickly to each new situation

• You have strong data science and/or software engineering experience
• You are excited about working for a scaleup and being a key contributor
• You enjoy working with customers and have excellent interpersonal skills
• You have machine learning knowledge/experience

• BS, MS or PhD degree in Computer Science, Physics, Mathematics or similarly quantitative/technical field
• Polyglot programmer, with experience using technologies such as Python, Java, R, SQL, Airflow, dbt, MonteCarlo, Immuta, Alation, data.world, and Great Expectations
• Willingness and ability to travel to client locations on occasion
• Candidates for this position must be a U.S. Citizen or Permanent Resident

• Deep understanding of data integration and transformation patterns such as messaging, ETL, ELT, Data Pipelining, Metadata Management, Data Cataloging,
• Hands-on experience with large distributed systems from an architecture and development perspective
• Hands-on experience with traditional data warehouse technologies
• Hands-on experience with data visualization tools such as PowerBI, Tableau, Qlik, Spotfire, Cognos, Business Objects, D3
• Machine learning knowledge/experience  with toolkits such as MLlib
• Experience with any of the following technologies: Hadoop, Spark, ElasticSearch, Java, AWS, GCP
• DevOps and/or cloud solutions deployment experience
• Advanced quantitative technical degree (MS or PhD) strongly preferred