Full-Time

Customer Success Manager

Cloud Data

Posted on 10/3/2024

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

AI & Machine Learning
Biotechnology
Healthcare

Senior, Expert

Boston, MA, USA + 1 more

More locations: Remote in USA

Flexible working arrangements - Remote work.

Category
Customer Success
Customer Success & Support
Customer Success Management
Sales & Account Management
Required Skills
Microsoft Azure
SQL
AWS
Google Cloud Platform

You match the following TetraScience's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Experience in a cloud data customer success team is required
  • Absolute customer-centric mindset and meticulous attention to details
  • Excellent communicator to align with sales, marketing, and engineering stakeholders
  • Minimal 7+ years of Customer Success, Professional Services, or Consulting experience in an Enterprise SaaS environment with the ability to forge relationships with users, decision makers, and influential stakeholders
  • Required: An understanding of software development and cloud-based data infrastructure (AWS, GCP, Azure)
  • Ability to translate customer requests into Product requests
  • Ability to immediately interface and build trust with Senior Level Business, Scientific and IT leaders in top-tier BioPharma companies
  • Desire to deliver an elite customer experience
  • Self-motivated, self-aware, independent, adaptable, and can thrive in a fast-paced startup environment with evolving processes and workflows
  • Ability to travel on occasion to customer sites for in-person meetings and workshops. Estimated travel 10-20% depending on customer needs.
  • Preferred: General understanding of Life Sciences R&D processes and scientific concepts
  • Preferred: General understanding of SQL and table design
  • Preferred: BS or M.Sc. in Biology, Biotechnology, Bioengineering or Information Technology and/or 5+ years experience in Life Sciences, SaaS/PaaS or software-based tech company
Responsibilities
  • Deliver an elite customer experience by employing a customer-centric approach
  • Own all aspects of customer relationships including retention, expansion and satisfaction (measured by NPS & CSAT)
  • Manage the renewal experience and identify and define new scientific business case opportunities aligned to the customers’ objectives and vision with support from Tetra scientific team members where appropriate
  • Experience implementing customer success metrics around adoption, expansion and retention
  • Experience running QBR's and speed to value presentations
  • Proactive outreach and engagement with TetraScience’s existing customers to ensure continued adoption and satisfaction.
  • Manage customer onboarding with responsibility spanning your accounts’ entire customer journey and experience with TetraScience including design and execution of personalized customer success plan
  • Build close relationships with customers to understand their needs with the goal of maximizing value
  • Capture and analyze customer feedback to navigate the resolutions of issues in a timely manner
  • Collaborate with internal stakeholders such as sales, delivery engineers, and Product to analyze customer feedback and guide customer success
  • Collaborate with the Tetra Product team to advocate for customer’s feedback and incorporate insights into Tetra product roadmap
  • Own key success metrics such as NPS, CSAT, and Success Plan objectives on customer health through timely status updates and customer reviews
  • Leverage data insights to manage progress, performance, and priorities

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution. The goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Company Stage

Series B

Total Funding

$113.8M

Headquarters

Boston, Massachusetts

Founded

2019

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI-ready scientific data solutions in the biopharma industry.
  • Strategic partnerships with Microsoft, Google, and Databricks enhance computational power and AI capabilities.
  • Expansion of AI-native datasets supports next-generation lab data management and scientific use cases.

What critics are saying

  • Increased competition from major tech companies investing in AI and cloud solutions.
  • Reliance on strategic partnerships poses risks if these partnerships dissolve.
  • Complexity and cost of integration with existing systems may deter potential clients.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
  • The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
  • TetraScience's Scientific Data Cloud centralizes and harmonizes data for AI/ML applications.

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Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

INACTIVE