About Elucidata:Elucidata is a TechBio Company headquartered in San Francisco. Our mission is to make life sciences data AI-ready. Elucidatas LLM-powered platform Polly, helps research teams wrangle, store, manage and analyze large volumes of biomedical data. We are at the forefront of driving GenAI in life sciences R&D across leading BioPharma companies like Pfizer, Janssen, NextGen Jane and many more. We were recognized as the 'Most Innovative Biotech Company, 2024', by Fast Company. We are a 120 multi-disciplinary team of experts based across the US and India. In September 2022, we raised $16 million in our Series A round led by Eight Roads and F-Prime along with our existing investors Hyperplane and IvyCap.About the role:The role is for a Sr Manager, Product Marketing who will lead the marketing team at Elucidata. This role is the center of a cross-functional stakeholder group across senior management, product, sales, and brand. You will be responsible for deepening our understanding of our customers and creating a cogent value proposition. You will also drive our go-to-market strategy for the AI in Life-sciences R&D market. We are looking for candidates who demonstrate structured thinking, exceptional communication skills, and deep empathy for our customers. If you are customer obsessed and excited to be a part of a category defining journey in the up and coming space of TechBio, this role is for you!Key Responsibilities:Develop high-level messaging, core value proposition and ROI positioning for each market and buyer persona.Work alongside sales team to craft the vision and value proposition for selected multi-year and high value expansion deals.Conduct market research and guide product strategy alongside product management and founders - identify target markets, product differentiation and market entry plan.Lead and coach the Product Marketing team and develop key sales enablement collaterals including market requirement documents, brochures, demos, pitch decks, case studies and white-papers.Lead and coach the Growth Marketing team and drive our content and brand strategyConduct customer and market research studies to understand unmet needs, buyer personas, and market landscape in the existing and new markets.Monitor our competitive landscape and map the AI in life-sciences R&D ecosystem.Work with in-house subject matter experts and build a network of external advisors for strategy development.Drive analyst relations, co-marketing partnerships and business development activities.Who should apply:5 years of experience in product marketing, consulting or selling PaaS and/or complex AI solutions to large enterprises.Deep empathy for customers and demonstrated experience of crafting compelling value propositions in complex deals.Ability to understand and synthesize technical information including data analytics, AI/ML/LLMs, data science, and/or application developmentDemonstrated experience in commercialization/go-to-market (GTM) strategies and brand building.Bachelors, Masters, Doctorate in computer science, engineering, applied sciences or a related field.Excellent verbal and written communication skills.Polly delivers ML-ready biomedical molecular data for accelerated drug discovery. Hosting a rich repository of more than 230,000 multi-omic datasets, Polly curates data semi-automatically, with over 50,000 datasets added each month.We equip data-driven drug discovery teams with a code-first SaaS platform that integrates proprietary and public biomedical molecular data for ML applications. Inspired by the FAIR guidelines described by the NIH, Polly's Data Lakes allow exclusive access to curated multi-omics data that is ready for ML workflows.Polly offers 10x faster identification of therapeutic assets with high odds of success in the clinic. It has enabled the detection of multiple validated drug targets across immunology, oncology, and metabolic disorders. Polly supports discovery programs at Pfizer, Agios Pharmaceuticals, Genentech, and Yale and has 35 research partners from premier biopharma companies and research labs.#J-18808-Ljbffr

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