Engagement Director - St Louis, MO at TetraScience

St. Louis, Missouri, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Scientific Data, AI, Life SciencesIndustries

Requirements

7+ years in delivery leadership roles within the Life Sciences software and data market with expertise in at least two of the following three areas: Discovery/Early-Stage Development, Late-Stage Development/CMC, Manufacturing/QC
3+ years in management consulting
Worked in startup environments
Led teams to successfully deploy solutions in the top 250 bio/pharma cohort (not biotech alone)
Delivered complex enterprise deals - $ hundreds of thousands to millions in ARR per deal
Expanded customer land deals - $ hundreds of thousands to millions in ACV
Evidenced strong program leadership skills while navigating difficult periods with your delivery team(s)
Delivered solutions within GxP-compliant areas
Coached and mentored Engagement, Project, Program and/or Customer Success Managers who went on to do their best work due to your assistance
Operated effectively in a fast-paced, team environment
Customer-centric with ability to see-around-the-corner and passion for delivering value while navigating customer hierarchy in the high-inertia Life Sciences industry
Embody principles of extreme ownership with demonstrated history of building and leading high-performing delivery or engagement teams
Demonstrable experience managing critical activities of delivery teams and consistently delivering complex data solutions in challenging scenarios
Top-tier communicator able to tell compelling stories in difficult situations
Forward-deployed captain to ensure customer success no matter the obstacles or friction
Extreme self-discipline and determination in a category creation and evangelism phase without a strict playbook or siloed people management

Responsibilities

Drive activities for renewal numbers
Drive overall success of implementation delivery and value realization
Closely collaborate with Account Executives and Pre-sales TAMs to identify and land expansion opportunities

Skills

Customer Success

Account Management

Renewal Management

Implementation Delivery

Value Realization

Pre-sales Collaboration

Expansion Opportunities

SaaS

AI Platforms

Scientific Data Management

TetraScience

Cloud platform for scientific data management

About TetraScience

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 in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters

2019Year Founded

$113.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

51-200Employees

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.

Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.

International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

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, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.

Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.

Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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