Product Strategy Intern, Physical Sciences
📍 Job Overview
Job Title: Product Strategy Intern, Physical Sciences
Company: Lila Sciences
Location: Cambridge, MA, USA
Job Type: Intern
Category: Product Strategy / Business Operations
Date Posted: March 18, 2026
Experience Level: 0-2 Years
Remote Status: On-site
🚀 Role Summary
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This internship focuses on commercializing AI-driven innovation within Lila's Physical Sciences division, specifically in chemistry and materials science.
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The role involves defining market strategies, evaluating business opportunities, and supporting go-to-market initiatives for advanced materials applications.
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The intern will translate cutting-edge scientific and AI capabilities into tangible commercial value for industrial and technology partners.
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This position is ideal for an MBA candidate looking to gain hands-on experience at the intersection of deep science, AI, and business strategy.
📝 Enhancement Note: While the title is "Product Strategy Intern," the core responsibilities and required skills align strongly with Business Operations and GTM strategy roles, particularly those focused on commercializing new technologies. The emphasis on market analysis, business cases, and go-to-market support suggests a need for operations-minded individuals.
📈 Primary Responsibilities
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Develop compelling presentation materials that effectively communicate the business value of complex technical capabilities to industrial and technology audiences.
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Conduct comprehensive market sizing, competitive landscape analysis, and strategic expert interviews across various materials science domains, including coatings, catalysts, and energy solutions.
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Support the definition of customer segments, creation of detailed user personas, and mapping of specific use cases for advanced materials applications.
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Contribute to the development of Target Product Profiles (TPPs), robust business cases, and strategic positioning frameworks for novel materials platforms.
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Build and maintain internal tools and documentation to streamline and enable scalable strategic decision-making processes across cross-functional teams.
📝 Enhancement Note: The responsibilities listed indicate a strong need for analytical and strategic thinking, directly contributing to the operational efficiency of product commercialization. The "Build tools and documentation to enable scalable strategic decision-making" bullet point is a direct indicator of operational process development.
🎓 Skills & Qualifications
Education: Currently pursuing an MBA or equivalent graduate degree. A background in chemistry, materials science, physical sciences, or chemical engineering is strongly preferred.
Experience: While formal experience requirements are minimal given the internship nature, a foundational understanding of market research, strategy consulting, or product management principles in technical industries is beneficial. Demonstrated ability to work in fast-paced, ambiguous environments is crucial.
Required Skills:
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Strong analytical thinking and the ability to synthesize complex scientific and market information into actionable insights.
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Excellent slide development and presentation skills, with a keen eye for visual clarity and impactful communication.
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Adaptability and comfort working in dynamic, often ambiguous, environments.
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Capacity to quickly understand scientific concepts in chemistry and materials science and articulate them clearly to non-technical or commercial stakeholders.
Preferred Skills:
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Background in chemistry, materials science, physical sciences, or chemical engineering.
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Prior experience in market research, strategy consulting, or product management within technical industries.
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Familiarity with CRM or project management tools such as Salesforce, Notion, or similar platforms.
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Understanding of industrial market applications in materials science, such as catalysis, energy storage, or advanced coatings.
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Previous exposure to chemicals, advanced materials, or deep technology environments.
📝 Enhancement Note: The "Preferred Skills" section highlights a need for individuals with practical experience in business operations tools and specific industry knowledge, which are key indicators for roles requiring operational execution and strategic alignment within a technical domain.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Examples of market analysis reports, including market sizing and competitive landscapes, demonstrating analytical rigor.
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Case studies or project summaries showcasing the development of business cases and strategic positioning frameworks for new products or technologies.
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Presentation materials that effectively translate technical concepts into clear business value propositions for diverse audiences.
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Documentation of user segmentation, persona development, or use case mapping for technical products.
Process Documentation:
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Showcase any experience in documenting workflows for market research, competitive analysis, or go-to-market planning.
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Examples of creating process outlines for customer engagement or product validation phases.
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Demonstrations of how findings were translated into actionable steps or recommendations within a structured process.
📝 Enhancement Note: For an internship role, a formal "portfolio" might not be strictly required, but candidates should be prepared to discuss past projects (academic or professional) that demonstrate the skills outlined. Focusing on analytical outputs, strategic frameworks, and communication artifacts will be key.
💵 Compensation & Benefits
Salary Range: As this is an internship position, compensation will be structured as a stipend or hourly wage. Based on industry standards for MBA internships in the Cambridge, MA area, and considering the specialized nature of Lila Sciences, a competitive rate would likely range from $40 to $60 per hour, or a prorated annual equivalent of $83,000 to $125,000 for the duration of the internship.
Benefits:
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Paid internship/stipend.
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Opportunity to work on groundbreaking AI and scientific research.
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Direct exposure to product strategy and commercialization in a deep tech environment.
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Mentorship from experienced Product and Commercial leaders.
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Networking opportunities within a cutting-edge scientific organization.
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Potential for future full-time opportunities based on performance and business needs.
Working Hours: This is a full-time internship position, typically requiring 40 hours per week. Specific daily schedules may be flexible, but will be coordinated with the team to ensure collaboration and meeting attendance.
📝 Enhancement Note: Salary estimates are based on typical MBA internship compensation in the Boston/Cambridge tech and biotech hub, factoring in the advanced nature of Lila Sciences' technology and the competitive landscape for such internships.
🎯 Team & Company Context
🏢 Company Culture
Industry: Artificial Intelligence, Scientific Research & Development, Biotechnology, Materials Science, Deep Technology. Lila Sciences operates at the confluence of these sectors, pioneering the first scientific superintelligence platform and autonomous lab.
Company Size: While specific numbers are not provided, Lila Sciences is described as a pioneering company with a significant mission, suggesting a growth-stage startup environment that is likely dynamic and rapidly evolving. This implies a culture of agility, innovation, and direct impact.
Founded: Not explicitly stated, but the company's mission and technological advancement suggest a relatively recent founding, focused on leveraging cutting-edge AI in scientific discovery.
Team Structure:
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The intern will join the Physical Sciences team, working closely with Product and Commercial leaders.
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This team is focused on bringing advanced materials applications to market.
Methodology:
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Lila Sciences utilizes AI and autonomous lab capabilities to accelerate the scientific method.
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The approach emphasizes data-driven discovery and rapid iteration.
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Strategic decision-making is supported by rigorous market analysis and business case development.
Company Website: www.lila.ai
📝 Enhancement Note: The company's focus on "scientific superintelligence" and an "autonomous lab" indicates a culture that values deep technical expertise, rigorous scientific methodology, and rapid innovation. For operations roles, this translates to a need for data-driven approaches and a comfort with complex, cutting-edge technologies.
📈 Career & Growth Analysis
Operations Career Level: This is an entry-level internship role designed for individuals pursuing graduate-level business education. It provides foundational experience in product strategy and commercial operations within a deep tech context.
Reporting Structure: The intern will report to a Product or Commercial leader within the Physical Sciences team, receiving direct guidance and mentorship.
Operations Impact: The intern's work will directly influence the strategic direction and commercialization path of Lila's advanced materials innovations. Contributions to market strategy, business cases, and go-to-market planning will have tangible impacts on the company's ability to translate scientific breakthroughs into commercial success.
Growth Opportunities:
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Gain practical experience in product strategy, market analysis, and commercialization within a high-growth deep tech startup.
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Develop critical business acumen and strategic thinking skills applicable to future roles in operations, product management, or consulting.
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Build a professional network and gain insights from leaders at the forefront of AI and scientific discovery.
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Potential to contribute to impactful projects that address significant global challenges in health, climate, and sustainability.
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Opportunity to explore a career path bridging scientific innovation and business development.
📝 Enhancement Note: This internship is positioned as a launchpad for future careers in areas that require a blend of technical understanding and business strategy, common in roles like Product Operations, GTM Strategy, or Business Development within tech and science organizations.
🌐 Work Environment
Office Type: Lila Sciences is an on-site role, suggesting a physical office and laboratory environment. This likely fosters a collaborative and immersive work experience, with opportunities for direct interaction with scientists and product teams.
Office Location(s): Cambridge, MA, USA. This location is a major hub for biotech, AI, and scientific research, offering a rich ecosystem of talent and innovation.
Workspace Context:
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The workspace will likely be dynamic, blending office environments for strategic work with potential access to labs for understanding scientific context.
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Collaboration will be a key aspect, with opportunities to interact directly with cross-functional teams.
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Access to cutting-edge technology and research will be inherent to the environment.
Work Schedule: Full-time (approximately 40 hours per week), with potential for some flexibility to accommodate project needs and team collaboration, particularly during intensive periods like market analysis or presentation development.
📝 Enhancement Note: The on-site requirement in Cambridge, MA, is important for candidates seeking immersion in a leading scientific and technological innovation hub and implies a culture that values in-person collaboration and idea exchange.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: Review of resume and cover letter, focusing on MBA program, relevant technical/scientific background, and stated interest in product strategy/commercialization.
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Case Study/Assignment: Candidates may be asked to complete a take-home assignment or a live case study related to market analysis, business case development, or presentation of technical concepts.
This assesses analytical, strategic, and communication skills.
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Interviews with Hiring Team: Multiple rounds of interviews with Product and Commercial leaders. These will assess:
- Understanding of scientific concepts and ability to translate them.
- Analytical and strategic thinking capabilities.
- Presentation and communication skills.
- Cultural fit and enthusiasm for Lila's mission.
- Problem-solving approach in ambiguous environments.
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Final Round: Potentially an interview with senior leadership to discuss overall fit and strategic alignment.
Portfolio Review Tips:
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Focus on Impact: Highlight projects where your analysis led to actionable recommendations or strategic decisions, even if they were academic.
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Showcase Analytical Rigor: Include examples of market sizing, competitive analysis, or business case development. Quantify results where possible.
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Demonstrate Communication Skills: Present clear, concise, and visually appealing slides. Be prepared to walk through your reasoning and methodology.
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Highlight Technical Aptitude: If you have a science/engineering background, be ready to discuss how you apply that knowledge to business problems.
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Emphasize Adaptability: Discuss experiences where you navigated ambiguity or learned new technical/market areas quickly.
Challenge Preparation:
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Be prepared for case-style questions that require you to break down a complex problem, such as evaluating a new market opportunity for an advanced material or defining a go-to-market strategy for a novel scientific technology.
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Practice articulating the business value of scientific innovations. Think about potential customers, their pain points, and how Lila's technology solves them.
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Research Lila Sciences thoroughly: understand their mission, technology, and the markets they target. Be ready to explain why you are passionate about their work.
📝 Enhancement Note: Given the role's focus on strategy and commercialization, interview preparation should emphasize analytical frameworks, market research methodologies, and the ability to structure and present complex information clearly.
🛠 Tools & Technology Stack
Primary Tools:
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Presentation Software: PowerPoint, Google Slides, Keynote (for creating compelling presentation materials).
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Data Analysis & Visualization: Excel, Google Sheets, potentially more advanced tools like Tableau or Power BI for market data analysis.
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Project Management & Collaboration: Notion, Salesforce, or similar platforms are mentioned as familiarities, indicating a need for comfort with tools used for organizing strategic initiatives and customer data.
Analytics & Reporting:
- Tools for market research (e.g., industry databases, market intelligence platforms).
CRM & Automation:
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Familiarity with CRM systems like Salesforce is a plus, suggesting an understanding of how customer data and commercial processes are managed.
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While not explicitly stated, an understanding of how data flows from R&D/Product to Commercial teams is beneficial.
📝 Enhancement Note: While specific tool requirements are minimal, familiarity with presentation, data analysis, and project management tools is crucial. The mention of Salesforce and Notion suggests an operational environment where CRM and knowledge management are important.
👥 Team Culture & Values
Operations Values:
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Innovation: A core value, driving the pursuit of groundbreaking AI and scientific solutions.
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Impact: Focus on solving significant global challenges in human health, climate, and sustainability.
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Collaboration: Essential for bridging the gap between deep science and commercial application.
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Data-Driven Decision Making: Emphasized through market analysis, business cases, and strategic planning.
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Agility & Adaptability: Necessary for thriving in a fast-paced, pioneering environment.
Collaboration Style:
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Cross-functional collaboration is key, requiring effective communication between scientific, product, and commercial teams.
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A transparent and iterative approach to strategy development is likely encouraged.
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Open exchange of ideas and constructive feedback are vital for translating complex science into viable commercial products.
📝 Enhancement Note: Lila Sciences' mission-driven culture, focused on impactful scientific discovery, implies that operations professionals must be comfortable with ambiguity, driven by purpose, and adept at cross-functional communication, particularly when translating technical achievements into business narratives.
⚡ Challenges & Growth Opportunities
Challenges:
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Translating Deep Science: The primary challenge will be bridging the gap between complex, cutting-edge scientific and AI capabilities and clear, compelling business value propositions for industrial clients.
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Navigating Ambiguity: Working in a pioneering field means dealing with evolving markets, nascent technologies, and undefined processes.
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Market Validation: Identifying and validating market needs for entirely new categories of materials or scientific solutions.
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Cross-Functional Alignment: Ensuring that R&D, Product, and Commercial teams are aligned on market strategy and product direction.
Learning & Development Opportunities:
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Strategic Frameworks: Deepen understanding of product strategy, market analysis, and business case development.
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Industry Immersion: Gain unparalleled insight into the future of AI in materials science and other physical sciences.
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Presentation & Communication: Hone skills in communicating complex technical information to business audiences.
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Networking: Build connections with leaders in deep tech, AI, and scientific commercialization.
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Problem-Solving: Develop resilience and innovative problem-solving skills in a dynamic startup environment.
📝 Enhancement Note: This internship offers significant growth potential by exposing interns to the unique challenges and opportunities of commercializing deep scientific innovation, a critical area for future GTM and operations professionals.
💡 Interview Preparation
Strategy Questions:
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"How would you approach sizing the market for a novel catalyst designed to improve energy efficiency in industrial processes?" (Tests market analysis, data synthesis, and strategic thinking).
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"Imagine you need to present Lila's AI-driven materials discovery platform to a potential investor in the coatings industry. What are the key messages and how would you structure your presentation?" (Tests communication, business value articulation, and audience awareness).
Company & Culture Questions:
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"Why are you interested in Lila Sciences specifically, and what excites you about our mission to build a scientific superintelligence platform?" (Tests research, passion, and cultural alignment).
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"How do you approach working in an environment with a high degree of ambiguity and rapid change?" (Tests adaptability and problem-solving in a startup context).
Portfolio Presentation Strategy:
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Tell a Story: For each project, clearly articulate the problem, your approach, the insights/solutions, and the impact (even if it's academic or hypothetical for projects).
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Quantify When Possible: Use numbers to demonstrate market size, potential ROI, efficiency gains, or impact of your analysis.
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Focus on Process: Explain how you arrived at your conclusions, highlighting your analytical methodologies and strategic thinking.
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Keep it Concise and Visual: Ensure your materials are easy to digest and visually appealing. Be prepared to summarize key points quickly.
📝 Enhancement Note: Interview preparation should heavily focus on demonstrating an understanding of how scientific innovation is translated into business value, using concrete examples from academic or prior work experiences.
📌 Application Steps
To apply for this Product Strategy Internship:
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Submit your application through the provided link on Greenhouse.
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Tailor your resume and cover letter: Highlight your MBA program, any relevant scientific/technical background, and specific experiences in market analysis, strategy, or presentation development.
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Prepare to discuss your academic projects: Be ready to articulate the business implications of your coursework, especially if it involved strategy, market research, or technical analysis.
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Research Lila Sciences thoroughly: Understand their mission, technology, and the physical sciences markets they aim to disrupt.
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Practice your presentation skills: Be ready to discuss your thought process and methodology for any case study or project you present.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions tailored for operations and strategy roles. All details should be verified directly with Lila Sciences.
Application Requirements
Candidates must currently be pursuing an MBA or equivalent graduate degree and possess excellent analytical thinking skills to synthesize complex information. Strong presentation skills and the ability to quickly grasp scientific concepts in chemistry and materials science for commercial stakeholders are essential.