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Senior Account Executive - Life Sciences

Job Overview

Location

London

Job Type

Full-time

Category

Software Engineering

Date Posted

June 3, 2026

Full Job Description

đź“‹ Description

  • • Lead complex, high-value sales cycles in the Life Sciences sector for PatSnap’s AI-native innovation intelligence platform, engaging senior stakeholders across R&D, IP, and C-suite roles at global pharmaceutical, biotech, and medical device companies.
  • • Own and drive end-to-end enterprise sales processes for a category-defining product with proven market demand, deep technical credibility, and a growing base of enterprise customers including Fortune 500 innovators.
  • • Navigate technically sophisticated conversations around patent analysis, scientific literature, clinical trials, regulatory data, and market intelligence to translate complex insights into compelling commercial value for R&D decision-makers.
  • • Build and scale a high-growth territory in London, targeting key Life Sciences hubs and expanding PatSnap’s footprint among innovative organizations accelerating drug discovery and IP strategy.
  • • Collaborate with cross-functional teams including solutions engineering, customer success, and product to align sales strategy with customer needs and product capabilities in a fast-evolving AI-driven market.
  • • Conduct discovery calls, product demonstrations, and executive-level presentations tailored to the unique workflows and pain points of life sciences R&D teams focused on reducing innovation risk and identifying white spaces.
  • • Manage multi-threaded deals involving technical, legal, procurement, and executive decision-makers, ensuring alignment across departments and overcoming objections with data-driven narratives grounded in real-world impact.
  • • Leverage PatSnap’s $300M Series E funding and unicorn status to position the platform as a strategic, non-negotiable tool for innovation intelligence, moving beyond transactional SaaS to consultative, high-impact partnerships.
  • • Utilize deep domain knowledge of the Life Sciences industry to articulate how PatSnap connects patents, scientific literature, clinical trials, and market data to accelerate product development and protect intellectual property.
  • • Maintain a disciplined pipeline management process with clear forecasting, pipeline health metrics, and adherence to sales methodology aligned with enterprise sales best practices.
  • • Represent PatSnap at industry events, conferences, and customer engagements to build brand authority and generate qualified leads within the European Life Sciences ecosystem.
  • • Contribute to sales strategy development by sharing customer feedback, competitive insights, and market trends to inform product roadmap and go-to-market initiatives.
  • • Operate with autonomy to shape your territory, take strategic risks, and define your own path to success within a hyper-growth, VC-backed organization with global reach and a strong foundation of enterprise clients.

🎯 Requirements

  • • Proven track record of exceeding sales targets in complex, enterprise-level B2B sales within the Life Sciences industry (pharma, biotech, medical devices)
  • • Experience selling AI-powered or data-intensive SaaS platforms to R&D, IP, or innovation teams at large organizations
  • • Demonstrated ability to engage C-suite and senior technical stakeholders in multi-threaded, long-cycle sales processes

🏖️ Benefits

  • • Competitive base salary with uncapped commission structure
  • • Equity participation as part of a pre-IPO unicorn company
  • • Flexible working arrangements with hybrid options in London
  • • Comprehensive health and wellness coverage including mental health support

Skills & Technologies

Senior
Onsite

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About Patsnap Pte. Ltd.

Patsnap provides a SaaS platform that combines global patent, litigation, chemical, biomedical and market intelligence to accelerate R&D and IP decisions. Its AI-driven analytics help companies identify white-space opportunities, monitor competitors and manage IP risk. Serving R&D, legal and commercial teams in over 50 countries, the platform integrates machine learning, semantic search and visualization to streamline innovation workflows from ideation to commercialization.

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