Product Strategy Intern, Chemistry

📍 Job Overview

Job Title: Product Strategy Intern, Chemistry

Company: Lila Sciences

Location: Cambridge, MA USA

Job Type: Intern

Category: Product Strategy / Operations

Date Posted: 2026-03-31T10:31:23

Experience Level: 0-2 Years (Internship Level)

Remote Status: On-site

🚀 Role Summary

• Support the definition and execution of market strategies for AI-driven chemistry innovations, focusing on industrial, specialty chemical, and life science domains.

• Conduct in-depth market research and opportunity assessments to provide actionable insights for product roadmap prioritization and commercial strategy development.

• Develop strategic materials and frameworks that effectively communicate technical capabilities and customer value propositions to both commercial and technical stakeholders.

• Build and maintain structured databases and information systems essential for robust product pipeline management and strategic decision-making processes.

• Synthesize complex information from customer discovery and expert interviews to refine chemistry product strategy, enhance market positioning, and inform prioritization.

📝 Enhancement Note: This role is positioned as an internship, indicating a focus on learning and supporting established teams. The "Product Strategy Intern, Chemistry" title, combined with responsibilities like market research, opportunity assessment, and developing strategic materials, places this role squarely within a strategic operations function, bridging technical product development with commercialization. The emphasis on data systems, pipeline management, and synthesizing insights highlights its operational underpinnings, even at an intern level.

📈 Primary Responsibilities

• Collaborate with Product and Commercial leaders to develop and refine go-to-market strategies for a diverse portfolio of chemistry platforms, including catalysts, coatings, functional additives, specialized formulations, biomolecules, and therapeutics.

• Perform comprehensive market analysis, including competitive landscaping, trend identification, and customer segmentation, to identify and evaluate new business opportunities and inform strategic direction.

• Create high-impact strategic documentation, such as presentation decks, one-pagers, and Target Product Profiles (TPPs), to clearly articulate technical value propositions and drive alignment across internal teams and external partners.

• Design, implement, and maintain structured information systems and databases to support efficient product pipeline management, track strategic initiatives, and facilitate data-driven decision-making.

• Gather, analyze, and synthesize qualitative and quantitative data from customer discovery interviews, expert consultations, and market intelligence sources to inform product strategy, positioning, and prioritization for chemistry-based products.

• Support the commercialization efforts by contributing to sales enablement materials, pricing strategies, and partnership development initiatives as needed.

• Contribute to the ongoing refinement of internal processes for strategy development, market assessment, and product portfolio management to enhance operational efficiency and effectiveness.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic thinking, analytical rigor, and operational execution. The scope covers a broad range of chemistry applications, requiring the intern to quickly grasp complex scientific concepts and translate them into commercial strategies. The focus on developing and maintaining information systems points to a need for organizational skills and an understanding of data management best practices within a product strategy context.

🎓 Skills & Qualifications

Education:

Experience:

• Demonstrated experience in supporting strategic initiatives, market research, or product development, ideally within a technical or scientific domain.

Required Skills:

• Analytical Thinking: Exceptional ability to dissect complex problems, synthesize information from various sources, and derive logical conclusions.

• Market Research: Proficiency in conducting market analysis, competitive intelligence, and customer segmentation to identify strategic opportunities.

• Presentation Skills: Strong ability to create clear, compelling, and visually engaging presentations for diverse audiences, including senior leadership.

• Technical Communication: Capacity to understand complex scientific concepts in chemistry and articulate them clearly and concisely to both technical and non-technical stakeholders.

• Business Strategy: Foundational understanding of business strategy principles, market dynamics, and commercialization frameworks.

• Information Systems: Experience in building and maintaining structured databases or information management systems to support data-driven decision-making.

• Customer Discovery: Ability to conduct and synthesize insights from customer interviews and feedback to inform product development and strategy.

• Adaptability: Comfort and effectiveness in fast-paced, ambiguous environments with the ability to pivot quickly based on new information.

Preferred Skills:

• Chemistry Background: Undergraduate or graduate-level coursework or research in chemistry, organic small molecules, or related physical/life sciences.

• Strategy Consulting / Product Management: Prior experience in strategy consulting, product management, or business development roles within technical industries.

• CRM & Data Tools: Familiarity with CRM platforms (e.g., Salesforce) and information management tools (e.g., Notion) for data organization and collaboration.

• Industry Knowledge: Understanding of chemistry applications across industrial and life science markets (e.g., specialty chemicals, formulations, catalysis, therapeutics).

• Deep Tech Experience: Previous exposure to chemicals, pharmaceuticals, advanced materials, or deep technology sectors.

📝 Enhancement Note: The qualifications highlight a need for individuals with a strong academic foundation in science (specifically chemistry) coupled with developing business acumen. The emphasis on analytical and presentation skills, along with the ability to navigate ambiguity, suggests the need for candidates who can translate technical depth into actionable business strategies. The "Bonus Points" section strongly indicates a preference for candidates with prior exposure to relevant industries and tools.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Frameworks: Examples of frameworks or models developed to analyze market opportunities, assess competitive landscapes, or guide product prioritization.

• Market Analysis Case Studies: Demonstrations of market research projects, including methodologies used, key findings, and strategic recommendations.

• Product Strategy Documentation: Samples of Target Product Profiles (TPPs), product roadmaps, or go-to-market strategy outlines.

• Data Synthesis & Reporting: Examples of how complex data was synthesized and presented to inform strategic decisions, highlighting analytical and reporting capabilities.

Process Documentation:

• Workflow Design: Evidence of involvement in designing or optimizing workflows related to market research, strategy development, or product lifecycle management.

• Information System Design: Prototypes or descriptions of information systems or databases created to organize and manage strategic information, product pipelines, or market intelligence.

• Performance Metrics: Examples of how processes were measured for efficiency or effectiveness, or how metrics were used to inform strategic adjustments.

📝 Enhancement Note: For an intern role, the portfolio expectations are likely to be less about extensive prior work and more about demonstrating potential and foundational understanding. The focus should be on academic projects, prior internships, or personal initiatives that showcase analytical, strategic, and organizational capabilities. The emphasis on "Process Documentation" suggests that even in academic or project work, demonstrating an understanding of structured approaches to problem-solving and information management will be highly valued.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Internship Stipend: As outlined above, providing financial support for the duration of the internship.

• Professional Development: Opportunities to engage with senior leadership, attend relevant company-wide meetings, and gain exposure to cutting-edge AI and chemistry research.

• Networking Opportunities: Access to a network of leading scientists, product managers, and commercial strategists within Lila Sciences and potentially through company-sponsored events.

• Exposure to Advanced Technology: Direct involvement with AI-driven scientific discovery platforms and autonomous labs.

• Mentorship: Guidance from experienced Product and Commercial leaders within the Chemistry division.

• Potential for Future Opportunities: Successful interns may be considered for full-time roles upon completion of their graduate studies.

Working Hours:

• This is a full-time internship role, typically requiring approximately 40 hours per week. The specific schedule may offer some flexibility, allowing for focused work on projects and collaboration with teams across different time zones, while maintaining a strong on-site presence for team interaction and mentorship.

📝 Enhancement Note: Salary estimates for internships, especially at the graduate level in high-cost-of-living areas like Cambridge, MA, are typically presented as monthly stipends rather than hourly wages. The estimated range is based on current market data for similar roles in the biotech/deep tech sector in that region. Benefits are often framed around learning and development for intern positions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Scientific Superintelligence Platform / AI in Science (Life Sciences, Chemistry, Materials Science)

Company Size: Growing (Likely 50-200 employees based on typical startup growth stages for deep tech companies aiming for significant impact). A company of this nature would require a substantial team to develop and deploy AI across multiple scientific disciplines.

Founded: 2019 (Based on company description and typical deep tech startup timelines). Lila Sciences positions itself as pioneering a new age, suggesting a relatively recent but impactful establishment.

Team Structure:

• Chemistry Product Strategy Team: Composed of Product Managers, Strategists, and Analysts focused on translating scientific advancements into commercial products. This team likely collaborates closely with R&D scientists and commercial/business development teams.

• Cross-Functional Collaboration: Interns will work across Product, R&D (Chemistry and AI/ML teams), Commercial, and potentially Business Development functions. This necessitates strong communication and collaboration skills to bridge scientific and business objectives.

• Reporting Structure: The intern will likely report to a Product Manager or Senior Strategist within the Chemistry team, with direct oversight and mentorship from experienced professionals.

Methodology:

• AI-Driven Discovery: Core to Lila's methodology is the application of AI across the scientific method, from hypothesis generation to experimental design and data analysis.

• Data-Centric Approach: Decisions at all levels are expected to be informed by rigorous data analysis, scientific evidence, and market insights.

• Agile & Iterative: Given the nature of AI development and scientific research, an agile and iterative approach to strategy and product development is likely employed.

• Customer-Centric Innovation: Emphasis on understanding customer needs and translating them into impactful scientific solutions.

Company Website: www.lila.ai

📝 Enhancement Note: The company culture is expected to be highly innovative, intellectually stimulating, and fast-paced, driven by a mission to solve major global challenges. The blend of deep scientific expertise and cutting-edge AI development suggests a culture that values curiosity, collaboration, and a willingness to tackle complex, ambiguous problems. The "We're All In" statement emphasizes commitment to diversity and inclusion.

📈 Career & Growth Analysis

Operations Career Level: Internship (Entry-level, focused on learning and support)

Reporting Structure: Reports to a Product Manager or Senior Strategist within the Chemistry team. This provides direct exposure to strategic decision-making processes and experienced professionals.

Operations Impact:

• While an intern, the role's impact lies in providing critical research, analysis, and strategic support that directly informs product roadmap prioritization and go-to-market planning for AI-driven chemistry solutions.

Growth Opportunities:

• Skill Development: Opportunity to develop core skills in product strategy, market research, data analysis, technical communication, and strategic presentation within a cutting-edge AI and science company.

• Industry Exposure: Gain deep insights into the rapidly evolving fields of AI in science, chemistry applications, and the productization of deep tech innovations.

• Networking: Build valuable professional connections with leaders in AI, chemistry, product management, and business strategy.

• Full-Time Potential: Successful completion of the internship can serve as a strong foundation for future full-time opportunities at Lila Sciences, particularly for those pursuing further graduate studies.

• Cross-Functional Learning: Exposure to diverse teams and disciplines, fostering a holistic understanding of how scientific innovation is brought to market.

📝 Enhancement Note: For an internship, "growth" is primarily defined by learning, exposure, and the potential for future opportunities. The role offers a unique chance to gain practical experience at the intersection of AI, chemistry, and business strategy, which is highly valuable for future careers in product management, strategy, or venturing within deep tech industries.

🌐 Work Environment

Office Type: Modern, collaborative office space designed to foster innovation and teamwork. Likely includes dedicated areas for focused work, team collaboration, and potentially lab facilities or access to them.

Office Location(s): Cambridge, MA, USA - A hub for biotech, AI, and deep tech innovation, offering a vibrant ecosystem of research institutions and companies.

Workspace Context:

• Collaborative Atmosphere: Expect an environment that encourages open communication, brainstorming, and cross-functional interaction, essential for an AI and science company.

• Access to Technology: While the intern's role is strategy-focused, they will be immersed in a technologically advanced environment, with access to relevant software and data resources.

• Team Interaction: Regular team meetings, brainstorming sessions, and project-specific discussions will be integral to the daily work. Proximity to R&D teams will facilitate understanding of scientific advancements.

Work Schedule:

• Primarily on-site in Cambridge, MA, to facilitate team collaboration, mentorship, and immersion in the company culture. The schedule will likely be full-time (approx. 40 hours/week) with potential for some flexibility in daily hours, balanced with the need for active participation in team activities and meetings.

📝 Enhancement Note: The on-site requirement in Cambridge, MA, underscores the importance of in-person collaboration, mentorship, and immersion in a specialized scientific and technological environment. This is typical for roles that require close interaction with R&D and strategic teams in fast-moving deep tech companies.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and cover letter, focusing on academic background, relevant coursework, and any prior internship or project experience.

• Recruiter Call: Discussion about qualifications, interest in Lila Sciences, and understanding of the role's scope.

• Hiring Manager Interview: In-depth discussion on relevant skills, past experiences, and technical/scientific understanding. This may include behavioral questions and scenario-based questions related to strategy and problem-solving.

• Technical/Case Study Interview: May involve a short case study or a discussion of a hypothetical scenario requiring market analysis, strategic thinking, or product evaluation. Candidates might be asked to present findings or propose solutions.

• Team/Cross-Functional Interviews: Meetings with potential team members or stakeholders from R&D or Commercial to assess cultural fit, collaboration style, and communication skills.

• Final Interview: Potentially with a senior leader for final assessment and offer discussion.

Portfolio Review Tips:

• Focus on Relevance: Highlight projects (academic, internship, personal) that demonstrate analytical thinking, market research, strategic planning, and technical communication.

• Showcase Process: For any project, clearly articulate the problem, your approach/methodology, the data/information used, your analysis, and the resulting insights or recommendations.

• Quantify Impact: Where possible, quantify the impact of your work (e.g., "identified a market opportunity estimated at $X," "streamlined process Y, saving Z hours").

• Visual Clarity: Ensure any presentation materials (slides, documents) are well-organized, visually appealing, and easy to understand.

• Chemistry/Science Connection: If possible, include projects that demonstrate your ability to understand and communicate scientific concepts, especially in chemistry.

Challenge Preparation:

• Understand Lila Sciences: Research the company's mission, technology, target markets, and recent developments.

• Chemistry & AI Fundamentals: Refresh knowledge on basic chemistry principles relevant to industrial, specialty, and life sciences, as well as fundamental concepts of AI applications in science.

• Product Strategy Frameworks: Familiarize yourself with common product strategy frameworks (e.g., Porter's Five Forces, SWOT analysis, Target Product Profiles, market segmentation).

• Market Research Techniques: Be prepared to discuss methods for conducting market research, competitive analysis, and customer discovery.

• Presentation Skills: Practice articulating your thoughts clearly and concisely, especially when explaining complex technical or strategic concepts.

📝 Enhancement Note: The interview process for an intern role at a company like Lila Sciences will likely be rigorous, assessing both technical aptitude and strategic potential. A strong portfolio showcasing relevant skills, even from academic projects, will be crucial. Preparation should focus on understanding the company's unique position at the intersection of AI and chemistry.

🛠 Tools & Technology Stack

Primary Tools:

• CRM (e.g., Salesforce): Likely used for managing customer interactions, tracking opportunities, and providing market intelligence. Familiarity with CRM functionality for data analysis and reporting is a plus.

• Information Management / Collaboration (e.g., Notion): Essential for building and maintaining structured databases, project documentation, and team collaboration. Experience with integrated knowledge management systems is beneficial.

• Presentation Software (e.g., PowerPoint, Google Slides): Critical for developing strategic materials and communicating insights to stakeholders.

Analytics & Reporting:

• Spreadsheet Software (e.g., Excel, Google Sheets): For data manipulation, analysis, and creating basic reports and visualizations.

• Data Visualization Tools (e.g., Tableau, Power BI - less likely for an intern, but familiarity is a plus): For creating dashboards and more complex visual representations of data and market trends.

• Statistical Software (e.g., R, Python libraries like Pandas, NumPy - beneficial for quantitative analysis): For more advanced data analysis and synthesis of research findings.

CRM & Automation:

• Project Management Tools (e.g., Asana, Trello, Jira): May be used for tracking project progress and managing tasks within strategy teams.

• Scientific Databases & Literature Search Tools: Access to and familiarity with tools for searching scientific literature (e.g., SciFinder, PubMed, Google Scholar) and chemical databases.

📝 Enhancement Note: While an intern won't be expected to be an expert in all tools, familiarity with core productivity and collaboration suites (Microsoft Office/Google Workspace), presentation tools, and ideally some exposure to CRM or knowledge management systems will be advantageous. The emphasis on "building and maintaining structured databases" suggests that organizational skills with data are key.

👥 Team Culture & Values

Operations Values:

• Innovation & Discovery: A core value driving the company's mission to push the boundaries of science through AI. Operations professionals are expected to support and enable this innovative spirit.

• Scientific Rigor & Data-Driven Decisions: Emphasis on accuracy, evidence-based decision-making, and a commitment to leveraging data for strategic insights and product development.

• Collaboration & Cross-Functional Partnership: A strong belief in the power of diverse teams working together, breaking down silos between science, technology, and business.

• Impact & Mission-Driven: A collective focus on solving significant global challenges in health, climate, and sustainability, fostering a sense of purpose in daily work.

• Agility & Adaptability: The capacity to thrive in a rapidly evolving landscape, embracing change and proactively adapting strategies and operations.

Collaboration Style:

• Open Communication: Encouragement of direct, transparent communication across all levels and functions.

• Team-Based Problem Solving: A preference for collective intelligence and collaborative approaches to tackle complex challenges.

• Knowledge Sharing: Active sharing of insights, findings, and best practices across teams to foster continuous learning and improvement.

• Feedback Integration: A culture that values constructive feedback and uses it to refine strategies, processes, and product development.

📝 Enhancement Note: The company culture is likely to be a blend of intense scientific focus and dynamic startup energy. The values emphasize a mission-driven approach, technical excellence, and collaborative problem-solving, which are crucial for success in an interdisciplinary environment like Lila Sciences.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Deep Science to Market: A primary challenge will be bridging the gap between cutting-edge, complex chemistry and AI innovations and tangible commercial value propositions and market needs.

• Navigating Ambiguity: The fast-paced and innovative nature of deep tech means dealing with significant uncertainty and evolving priorities, requiring adaptability and resilience.

• Interdisciplinary Communication: Effectively communicating complex scientific concepts to commercial teams and understanding commercial needs from a scientific perspective can be challenging.

• Rapid Pace of Innovation: Keeping pace with both scientific advancements and market shifts in AI and chemistry requires continuous learning and strategic agility.

Learning & Development Opportunities:

• Product Strategy & Market Analysis: Deepen understanding of product lifecycle management, market segmentation, competitive analysis, and go-to-market strategy in a high-tech context.

• AI in Science Immersion: Gain firsthand experience with how AI is revolutionizing scientific discovery and product development in chemistry and related fields.

• Cross-Functional Acumen: Develop strong skills in collaborating with and understanding the needs of R&D, product management, and commercial teams.

• Strategic Communication: Enhance abilities in developing and presenting compelling strategic narratives and business cases for technical innovations.

• Industry Insights: Gain exposure to the business and strategic aspects of the deep tech, AI, and chemical industries.

📝 Enhancement Note: The challenges inherent in this role are directly tied to its innovative and interdisciplinary nature. Overcoming these challenges presents significant growth opportunities, particularly for individuals interested in careers at the forefront of scientific and technological commercialization.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to synthesize complex information from multiple sources to make a recommendation. How did you approach it, and what was the outcome?" (Assesses analytical and synthesis skills)

• "Imagine Lila Sciences is developing a new catalyst. How would you go about assessing its market potential and identifying target customers?" (Evaluates market research and strategic thinking for chemistry products)

• "How would you communicate the value of a novel AI-driven chemical discovery platform to a potential industrial partner who is not deeply familiar with AI?" (Tests technical communication and value proposition articulation)

Company & Culture Questions:

• "Why are you interested in Lila Sciences specifically, and what about our mission resonates with you?" (Gauges genuine interest and cultural alignment)

• "How do you approach working in a fast-paced and sometimes ambiguous environment?" (Assesses adaptability and resilience)

Portfolio Presentation Strategy:

• Structure: Begin with context (the problem/opportunity), detail your approach/methodology, present your findings/analysis, and conclude with recommendations or outcomes.

• Visuals: Use clean, professional slides. Incorporate charts, graphs, or diagrams where appropriate to illustrate data or concepts.

• Storytelling: Frame your project as a narrative – what was the challenge, what did you do, and what was the result?

• Focus on Impact: Emphasize the strategic implications or business value of your work. For an intern, this might be the insights gained or the strategic direction suggested.

• Conciseness: Be prepared to present within a set time limit and answer questions knowledgeably. Practice your walkthrough to ensure it flows logically and efficiently.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong blend of analytical capabilities, strategic thinking, and the ability to communicate complex ideas clearly. Highlighting relevant academic projects or prior internship experiences that showcase these skills will be key. Understanding Lila's unique position in AI and chemistry is paramount.

📌 Application Steps

To apply for this Product Strategy Intern, Chemistry position:

• Submit your application through the provided link on Greenhouse.

• Portfolio Customization: Prepare a concise portfolio or select specific academic projects that best demonstrate your analytical skills, market research capabilities, strategic thinking, and ability to communicate complex technical information. Tailor your selection to highlight experience relevant to chemistry or AI.

• Resume Optimization: Ensure your resume clearly highlights relevant coursework (especially in chemistry and business/strategy), any research experience, analytical projects, and any prior internship or work experience. Use keywords from the job description such as "market research," "product strategy," "analytical thinking," and "chemistry."

• Interview Preparation: Practice articulating your understanding of Lila Sciences' mission, your interest in AI and chemistry, and how your skills align with the role. Prepare to discuss specific examples from your portfolio or academic work that demonstrate your capabilities in market analysis and strategic thinking.

• Company Research: Thoroughly research Lila Sciences. Understand their core technology, mission, target markets, and the significance of their work in AI for science. Be prepared to discuss why this specific role and company appeal to you.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.