Job summary
Job post source
This job is directly from TetraScience
Job overview
The Senior Technical Program Manager at TetraScience leads a critical program for a key customer, driving scientific data transformation and AI integration to deliver operational and scientific value in the life sciences industry.
Responsibilities and impact
The role involves leading end-to-end program delivery across multiple workstreams, managing daily standups with customer stakeholders, coordinating cross-functional teams, handling complex technical dependencies, and aligning technical and executive teams on outcomes and business value.
Compensation and benefits
The position offers 100% employer-paid benefits for employees and immediate family, unlimited PTO, 401K, remote work options when not onsite, and company-paid life insurance and disability coverage.
Experience and skills
Candidates need 10+ years of program management in professional services, 5+ years in public cloud or enterprise software, experience in biopharma project delivery, Agile and Scrum leadership, strong communication and influencing skills, and ability to engage at VP level; life sciences experience and AWS knowledge are preferred.
Work environment and culture
The company values radical transparency, extreme ownership, and a pioneering mindset, emphasizing alignment with the 'Tetra Way' ethos and a fast-paced, iterative environment.
Company information
TetraScience is a leader in scientific data and AI cloud solutions, partnering with major players in compute, cloud, and AI infrastructure to innovate life sciences data management and AI applications.
Team overview
The candidate will join a focused program team working closely with engineering, customer engagement, and scientific teams to deliver integrated solutions for a major customer.
Job location and travel
The role is onsite in Cambridge, MA, requiring 4-5 days per week presence with some remote work allowed when not at customer sites.
Unique job features
This role is unique due to its pioneering nature in an industry without a playbook, requiring extreme self-discipline and the ability to manage complex, multi-stakeholder scientific AI implementations.
Company overview
TetraScience is a leading cloud-based data integration platform focused on the life sciences industry. They provide solutions that enable seamless data connectivity, integration, and analytics, helping pharmaceutical and biotech companies accelerate their research and development processes. Founded in 2014, TetraScience has grown rapidly, partnering with major industry players to streamline laboratory workflows and improve data-driven decision-making. Their revenue model is primarily subscription-based, offering scalable services that cater to the diverse needs of their clients. Key historical milestones include significant funding rounds and strategic partnerships that have bolstered their market position.
How to land this job
Position your resume to highlight your extensive program management experience, especially leading complex, multi-workstream technical implementations in Agile and Scrum environments relevant to life sciences and biopharma.
Emphasize your skills in managing cross-functional teams, driving customer-centric solutions, and navigating technical dependencies including cloud infrastructure and AI deployments, showcasing your ability to translate technical details to executive stakeholders.
Apply through multiple channels including TetraScience's corporate careers page, LinkedIn job postings, and relevant professional services or life sciences job boards to maximize visibility.
Connect with current TetraScience employees in the Customer Engagement or Program Management divisions on LinkedIn; open conversations by referencing the Tetra Way letter, expressing enthusiasm for their pioneering AI-driven scientific data solutions, or asking about their experience managing complex customer programs.
Optimize your resume for ATS by incorporating key phrases from the job description such as 'extreme ownership,' 'Agile framework,' 'cross-functional team leadership,' 'cloud infrastructure,' 'scientific data transformation,' and 'customer-facing deployment.'
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