Prudentia Sciences

Sales

• Own the Complete Sales Cycle
• Lead end-to-end enterprise sales from prospecting through contract closure
• Identify and engage Business Development and Search & Evaluation leaders at top 200 pharma and biopharma companies
• Build and execute strategic account plans to penetrate target organizations
• Navigate complex organizational structures to connect with key decision-makers and influencers
• Orchestrate multi-stakeholder deal processes involving BD, IT, Legal, and Procurement teams
• Drive Revenue Growth
• Meet and exceed ambitious sales targets and revenue goals
• Build a robust pipeline of qualified opportunities with accurate forecasting
• Negotiate commercial terms and structure deals that deliver value for both Prudentia and our customers
• Leverage Prudentia’s network and AI tooling to further build pipeline and drive opportunities
• Become a Trusted Advisor
• Deeply understand customer challenges in deal sourcing, evaluation, and portfolio management
• Articulate how Prudentia's AI-powered platform addresses critical pain points in the BD lifecycle
• Conduct compelling product demonstrations tailored to prospect needs
• Collaborate with internal teams to ensure customer success and identify expansion opportunities
• Shape Our Go-to-Market Strategy
• Partner with Marketing to develop targeted campaigns and messaging
• Contribute to sales playbooks, processes, and best practices as we scale
• Represent Prudentia at industry conferences and events

Director – Sales, Pharma

Machine Learning Engineer

• Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph
• Build robust RAG pipelines and integrate knowledge graphs for biological and clinical data
• Write maintainable, high-performance code and build clean APIs and services for machine learning applications
• Work with data engineers to build and optimize data workflows and pipelines for high-quality data ingestion and processing
• Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and scale models for production
• Use modern MLOps tools to deploy and monitor models in production environments (AWS preferred)
• Partner with engineering, data, and business teams to identify and develop high-value AI/ML applications
• Stay ahead of the curve on emerging ML frameworks, GenAI capabilities, and healthcare technologies

Senior AI / ML Engineer

Product Marketing

• Define and execute GTM strategies to drive awareness, demand, and adoption
• Craft positioning and messaging for BD, Licensing, and S&E teams
• Lead product launches and integrated campaigns
• Align with Sales and Product on personas, buyer journeys, and value props
• Use market and customer insights to guide strategy
• Own strategy for key industry events (BIO, Biotech Showcase, partnering)
• Manage booth presence, speaking ops, and networking initiatives
• Create high-impact collateral and demos; drive post-event pipeline conversion
• Build multi-channel campaigns (email, digital, ABM) to generate qualified leads
• Develop case studies, ROI stories, and sales enablement tools
• Collaborate with design for clear, engaging marketing assets
• Ensure brand consistency and thought leadership across all touchpoints
• Equip Sales to articulate value and close deals
• Maintain competitive intelligence and customer insights
• Train teams on messaging, positioning, and new releases
• Track performance and optimize GTM effectiveness

Lead – Product Marketing

• Own Biotech Go-to-Market Strategy
• Define and execute comprehensive GTM strategy for biotech customer segment
• Identify market opportunities and refine targeting, positioning, and messaging for emerging biotech companies
• Build and maintain a robust pipeline of qualified biotech prospects
• Develop territory plans that prioritize high-potential accounts and organizational partnerships
• Track and report on key metrics including pipeline generation, conversion rates, and revenue attainment
• Identify and engage decision-makers at emerging biotech companies (Series A through pre-IPO)
• Understand the unique challenges biotechs face in portfolio strategy, asset valuation, and partnering
• Conduct consultative discovery to uncover needs and demonstrate platform value
• Navigate sales cycles from initial outreach through contract closure
• Serve as a trusted advisor helping biotechs optimize their development strategies and BD efforts
• Build strategic relationships with biotech consortiums, incubators, and accelerators
• Engage with state-driven biotech member organizations and regional life sciences clusters
• Identify partnership opportunities that provide access to multiple emerging biotech companies
• Represent Prudentia at consortium events, member meetings, and networking sessions
• Structure partnership agreements and member benefit programs that drive adoption
• Meet and exceed biotech sales quotas and revenue targets
• Lead end-to-end sales process from prospecting through contract negotiation
• Deliver compelling product demonstrations tailored to biotech use cases
• Orchestrate deal processes involving C-suite executives, BD teams, and operational stakeholders
• Negotiate commercial terms that deliver mutual value and sustainable partnerships
• Ensure accurate forecasting and pipeline management

Director – Sales, Biotech

Full-stack Engineer

• Design, build, and scale the web platform that enables deal teams to explore, upload, and analyze drug assets
• Develop intuitive, data-rich interfaces using modern frameworks
• Implement robust backend services and job orchestration layers
• Create dynamic, interactive components that visualize scientific assessments
• Design and maintain clean, scalable APIs between the core LLM orchestration layer and the platform
• Deploy and monitor platform services on AWS
• Work cross-functionally with ML engineers, product leads, and domain experts
• Champion engineering best practices

Director – Sales, Pharma

Senior AI / ML Engineer

Lead – Product Marketing

Director – Sales, Biotech

Senior/Staff Software Engineer, Full Stack