Strategy & Solutions Lead (AI)

Location: Hybrid, New York, United States

Salary: $180K–$240K per year, plus equity and bonus.

Company

hirify.global develops an AI-powered biomedical knowledge platform using a high-precision Knowledge Graph and GenAI to help biopharmaceutical organizations analyze scientific publications, clinical trials, regulatory documents, and other complex data for drug discovery, safety, and decision-making.

What you will do

• Own the intake, shaping, and executive decision-making for strategic opportunities involving new capabilities, integrations, packaging, or market segments.
• Lead senior pharma R&D and commercial discussions, grounding discovery in workflows such as target identification, candidate selection, indication expansion, and lifecycle management.
• Translate ambiguous enterprise demand into solution concepts, delivery paths, commercial framing, scope boundaries, timelines, risks, dependencies, and commitments.
• Design and steer technical solutions involving platform capabilities, APIs, data models, data flows, security, deployment models, and integrations with enterprise data and AI systems.
• Build repeatable solution playbooks, including qualification criteria, scoping templates, delivery blueprints, reference architectures, governance, and pilot-to-rollout paths.
• Validate new plays through lighthouse opportunities and hand validated solutions into Sales, Customer Success, Delivery, and Product with training, assets, decision trees, and clear ownership.

Requirements

• 7+ years of experience at the intersection of pharma or life sciences strategy, AI and data, and enterprise customers.
• Experience leading senior R&D and commercial stakeholder discussions and turning ambiguous demands into scalable solutions.
• Background in life sciences strategy or AI consulting at Engagement Manager / Associate Partner level, or in Enterprise Solutions / Solutions Strategy for B2B SaaS serving pharma and biotech.
• Deep understanding of end-to-end pharma R&D and commercial workflows, including target identification, Target Product Profile development, candidate selection, indication expansion, launch, and lifecycle planning.
• Hands-on experience building, deploying, and/or integrating enterprise technology solutions, including data platforms, AI and LLM applications, APIs, and system integrations, through production.
• Ability to read and challenge solution architectures, reason through data pipelines, APIs, and integration patterns, and understand how AI and LLM systems are built and evaluated, including retrieval-augmented generation, agentic workflows, and knowledge graphs.
• Experience converting complex enterprise demand into repeatable playbooks covering qualification, scoping, pilot design, and BAU handoff.
• Strong judgment in pursue, park, or decline recommendations based on product direction, feasibility, scalability, and business impact.
• Comfort driving executive decisions across Product, Engineering, and go-to-market functions and translating technical trade-offs into business choices.

Nice to have

• Scientific or quantitative background, such as an advanced degree in life sciences, engineering, or a related field.
• Experience with AI or GenAI programs in pharma from use-case definition through scaled deployment.
• Prior technical experience as a forward-deployed engineer, data scientist, software engineer, or technical product manager.
• Familiarity with enterprise data governance in regulated environments, including GxP, data privacy, and information security reviews.
• Exposure to market expansion, new-segment go-to-market, technology partnerships, or solution incubation.

Culture & Benefits

• Hybrid work based in New York.
• Full-time employment with equity and bonus opportunities.
• Equal opportunity employment welcoming applicants from all backgrounds.
• Work directly with executive leadership and senior pharma, biotech, data, and technology stakeholders with significant autonomy.