Senior Product Marketing Manager - Scientific Data & AI Cloud Platform

📌 Core Information

🔹 Job Title: Senior Product Marketing Manager - Scientific Data & AI Cloud Platform

🔹 Company: TetraScience

🔹 Location: Boston, Massachusetts, United States (Remote)

🔹 Job Type: Full-Time

🔹 Category: Software Development

🔹 Date Posted: July 20, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: Remote OK

🚀 Job Overview

Key aspects of this role include:

• Defining and driving the product marketing strategy for TetraScience's Scientific Data and AI Cloud platform.
• Collaborating with cross-functional teams to craft clear, compelling positioning, messaging, and sales enablement materials.
• Supporting partner co-marketing efforts with major cloud, AI, and data platform partners.
• Serving as the voice of the platform in customer briefings, industry events, and analyst conversations.
• Tracking key metrics to evaluate market opportunity, adoption patterns, and ecosystem growth.

ASSUMPTION: This role requires a strong understanding of data platforms, cloud-based enterprise products, and life sciences to effectively position the TetraScience platform and engage with various stakeholders.

📋 Key Responsibilities

✅ Own the platform product marketing strategy across all technical personas.

✅ Define and continuously refine positioning, messaging, and value propositions for the cloud platform, developer and data capabilities, and architecture.

✅ Create compelling product marketing content, including solution briefs, technical explainer videos, competitive battlecards, web copy, white papers, and thought leadership assets.

✅ Collaborate with sales, alliances, and field teams to deliver training, tools, and content that accelerate pipeline and sales velocity.

✅ Support partner co-marketing efforts with major platform and AI partners.

✅ Serve as the voice of the platform in customer briefings, industry events, webinars, and analyst conversations.

✅ Track key metrics to evaluate market opportunity, share, adoption patterns, and ecosystem growth.

ASSUMPTION: The successful candidate will have a strong technical background and be able to translate complex platform capabilities into clear, differentiated customer value.

🎯 Required Qualifications

Education: Formal education in a scientific or technical discipline (e.g., life sciences, data science, computer science, engineering).

Experience: 7+ years of experience in product marketing for data platforms, developer tooling, or cloud-based enterprise products in the life sciences.

Required Skills:

• Strong knowledge of lab informatics, FAIR data principles, cloud data architectures, and scientific R&D workflows.
• Demonstrated ability to translate platform capabilities into clear, differentiated customer value.
• Experience working with ecosystem partners and supporting partner go-to-market motions.
• Exceptional writing, communication, and presentation skills.
• Strong collaboration skills and experience working with cross-functional teams in high-velocity environments.

Preferred Skills:

• Experience with cloud platforms (e.g., AWS, Microsoft Azure, Google Cloud Platform).
• Knowledge of biopharma industry trends and market dynamics.

ASSUMPTION: While not explicitly stated, experience with cloud platforms and knowledge of biopharma industry trends would be beneficial for this role.

💰 Compensation & Benefits

Salary Range: $140,000 - $180,000 per year (AI-estimated, based on experience level and industry standards for product marketing roles in the life sciences sector)

Benefits:

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Flexible working arrangements - Remote work
• Company paid Life Insurance, LTD/STD
• A culture of continuous improvement where you can grow your career and get coaching

Working Hours: 40 hours per week, with flexibility for remote work

ASSUMPTION: The salary range is an AI-estimated value based on industry standards for similar roles. The actual salary may vary depending on the candidate's experience and skills.

📌 Applicant Insights

🔍 Company Context

Industry: TetraScience operates in the Software Development industry, specifically focusing on scientific data and AI cloud solutions for the life sciences sector.

Company Size: TetraScience has 201-500 employees, which means applicants can expect a mid-sized company culture with opportunities for growth and collaboration.

Founded: 2019, with a mission to accelerate scientific discovery and improve and extend human life.

Company Description:

• TetraScience is the Scientific Data and AI Cloud company, with a mission to accelerate scientific discovery and improve and extend human life.
• The Tetra Scientific Data and AI Cloud is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain.
• Through the Tetra Partner Network, market-leading vendors access the power of TetraScience's cloud to help customers maximize the value of their data.

Company Specialties:

• Experimental Data and Scientific Discovery

Company Website: https://www.tetrascience.com/

ASSUMPTION: TetraScience's focus on scientific data and AI cloud solutions for the life sciences sector makes it an attractive option for candidates interested in cutting-edge technology and making a significant impact on the biopharma industry.

📊 Role Analysis

Career Level: This role is at the senior level, requiring a high degree of expertise and experience in product marketing for data platforms in the life sciences sector.

Reporting Structure: The Senior Product Marketing Manager will report directly to the co-founder and CEO, Patrick Grady, and collaborate with various teams, including Product, Engineering, Sales, and Strategic Partners.

Work Arrangement: This role is remote-friendly, with flexible working arrangements that allow for a balance between work and personal life.

Growth Opportunities:

• As TetraScience continues to grow, there will be opportunities for the successful candidate to take on more responsibilities and advance their career within the company.
• The company's focus on continuous improvement and coaching provides ample opportunities for professional development.

ASSUMPTION: The growth opportunities for this role are closely tied to TetraScience's overall success and expansion in the market.

🌍 Location & Work Environment

Office Type: TetraScience has a remote-friendly work environment, with no physical office requirement for this role.

Office Location(s): Boston, MA, US

Geographic Context:

• Boston is a major hub for the life sciences industry, providing ample opportunities for networking and collaboration with other professionals in the field.
• The city offers a high quality of life, with a vibrant cultural scene, excellent education options, and a diverse range of neighborhoods.

Work Schedule: The work schedule is flexible, with a focus on results and productivity rather than strict hours.

ASSUMPTION: The remote-friendly work environment and flexible work schedule make this role an attractive option for candidates seeking a good work-life balance.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with the hiring manager (Patrick Grady)
• Technical assessment or case study
• Final round interviews with cross-functional stakeholders
• Background check and offer extension

Key Assessment Areas:

• Technical expertise in data platforms, cloud-based enterprise products, and life sciences
• Communication and presentation skills
• Collaboration and teamwork
• Problem-solving and strategic thinking

Application Tips:

• Highlight relevant experience and achievements in product marketing for data platforms in the life sciences sector.
• Tailor your resume and cover letter to emphasize your understanding of TetraScience's mission and the role's requirements.
• Prepare for the technical assessment or case study by brushing up on your knowledge of data platforms, cloud architectures, and life sciences workflows.

ATS Keywords: Product Marketing, Data Platforms, Cloud-Based Products, Life Sciences, Lab Informatics, FAIR Data Principles, Cloud Data Architectures, Scientific R&D Workflows, Writing, Communication, Presentation Skills, Collaboration, Cross-Functional Teams, Technical Understanding, Go-To-Market Strategy, Sales Enablement

ASSUMPTION: The interview process for this role will focus on assessing the candidate's technical expertise, communication skills, and cultural fit with TetraScience's mission and values.

🛠️ Tools & Technologies

• Cloud platforms (e.g., AWS, Microsoft Azure, Google Cloud Platform)
• Data visualization and analytics tools (e.g., Tableau, Power BI)
• Marketing automation and CRM tools (e.g., HubSpot, Salesforce)
• Collaboration and productivity suites (e.g., Microsoft Office, Google Workspace)

ASSUMPTION: The successful candidate will have experience with relevant marketing, data visualization, and collaboration tools, as well as a willingness to learn and adapt to new technologies as needed.

👔 Cultural Fit Considerations

Company Values:

• Open: TetraScience values transparency, collaboration, and a culture of continuous learning and improvement.
• Cloud-Native: The company's platform is designed to be open, extensible, and vendor-neutral, enabling seamless integration with other tools and systems.
• Purpose-Built for Science: TetraScience focuses on solving the unique challenges faced by scientific research and development in the biopharma industry.

Work Style:

• TetraScience values a collaborative, team-oriented work environment, with a focus on results and productivity rather than strict hours.
• The company encourages a culture of continuous improvement, with a strong emphasis on learning and growth.
• TetraScience values diversity, inclusion, and the unique perspectives that each employee brings to the team.

Self-Assessment Questions:

• Do you thrive in a collaborative, team-oriented work environment?
• Are you comfortable working in a fast-paced, high-growth startup setting?
• Do you share TetraScience's commitment to accelerating scientific discovery and improving human life through innovative technology solutions?

ASSUMPTION: Candidates who align with TetraScience's values and work style are more likely to be successful in this role and contribute to the company's mission.

⚠️ Potential Challenges

• The role requires a strong understanding of both data platforms and the life sciences industry, which may present a learning curve for candidates from non-scientific backgrounds.
• The fast-paced, high-growth nature of TetraScience may require candidates to adapt quickly and manage multiple priorities simultaneously.
• The remote-friendly work environment may present challenges for candidates who prefer a more structured office setting.
• The competitive nature of the biopharma industry may require candidates to be proactive and innovative in their approach to product marketing and sales enablement.

ASSUMPTION: The successful candidate will be able to overcome these challenges by leveraging their technical expertise, strong communication skills, and a willingness to learn and adapt in a fast-paced environment.

📈 Similar Roles Comparison

• Compared to other product marketing roles in the life sciences sector, this role places a greater emphasis on technical expertise in data platforms and cloud architectures.
• The focus on scientific data and AI cloud solutions makes this role unique within the biopharma industry.
• As a senior role, this position offers more responsibility and autonomy than entry-level or mid-level product marketing positions, with the potential for significant career growth and impact.

ASSUMPTION: Candidates with experience in product marketing for data platforms in the life sciences sector will find this role to be a strong fit, offering unique opportunities for growth and impact within the biopharma industry.

📝 Sample Projects

• Developing a comprehensive go-to-market strategy for TetraScience's Scientific Data and AI Cloud platform, including positioning, messaging, and value propositions for various technical personas.
• Creating a suite of sales enablement materials, including solution briefs, technical explainer videos, competitive battlecards, and web copy, to support the sales team in accelerating pipeline and sales velocity.
• Collaborating with strategic partners, such as cloud, AI, and data platform providers, to develop co-marketing materials and joint go-to-market plans.

ASSUMPTION: These sample projects illustrate the breadth and depth of the responsibilities for this role, highlighting the opportunity for the successful candidate to make a significant impact on TetraScience's growth and success.

❓ Key Questions to Ask During Interview

• Can you describe the current state of the product marketing strategy for TetraScience's Scientific Data and AI Cloud platform, and how this role will contribute to its evolution?
• How does TetraScience collaborate with strategic partners, such as cloud, AI, and data platform providers, to support the go-to-market strategy for the platform?
• What are the key priorities for this role in the first 30, 60, and 90 days, and how will my work contribute to TetraScience's overall mission and goals?
• How does TetraScience support the professional development and growth of its employees, particularly in the area of product marketing and go-to-market strategy?
• What are the key challenges facing the biopharma industry, and how does TetraScience's Scientific Data and AI Cloud platform address these challenges to accelerate scientific discovery and improve human life?

ASSUMPTION: These key questions are designed to help candidates better understand the role's priorities, the company's culture, and the impact of their work on TetraScience's mission and goals.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant experience and skills in product marketing for data platforms in the life sciences sector.
• Prepare for the technical assessment or case study by brushing up on your knowledge of data platforms, cloud architectures, and life sciences workflows.
• Follow up with the hiring manager (Patrick Grady) one week after submitting your application to express your interest and reiterate your qualifications for the role.
• If selected for an interview, be prepared to discuss your approach to product marketing, sales enablement, and collaboration in a fast-paced, high-growth startup environment.

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.