Director of Product (AI)

TL;DR

Director of Product (AI): Leading the product vision, strategy, and execution for a portfolio of products and platforms at the intersection of drug discovery, life science research, and scientific intelligence, with an accent on intelligent, iterative optimization of chemical matter using Lila's SSI platform. Focus on identifying and shaping product opportunities grounded in real-world discovery challenges, driving product execution from concept to launch across cross-functional teams, and defining clear success metrics for highly complex, multidisciplinary projects.

Location: Onsite in Cambridge, MA, USA

Salary: $184,000–$294,000 USD per year

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab, pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.

What you will do

• Set and drive the long-term product vision and strategic roadmap for chemistry and small molecule discovery capabilities.
• Identify and shape product opportunities grounded in real-world discovery challenges.
• Define target product profiles and develop strategies for intelligent optimization of chemical matter using Lila's SSI platform.
• Own product portfolio planning and prioritization across multiple high-impact initiatives.
• Drive product execution from concept to launch, leading cross-functional teams across science, machine learning, automation, and data engineering.
• Define clear success metrics and milestones, and clearly communicate progress to executive leadership.

Requirements

• MS, PhD, or equivalent experience in medicinal chemistry, computational chemistry, chemical biology, or a related field.
• 9+ years of experience in product management or platform strategy roles at the intersection of drug discovery, cheminformatics, AI/ML, or scientific software development.
• 3+ years of experience leading and managing cross-functional or product teams.
• Deep understanding of small molecule discovery workflows, including structure-based design, ligand-based modeling, hit finding, lead optimization, ADMET profiling, and synthesis planning.
• Familiarity with ML tools for QSAR modeling, HTS triage, retrosynthesis, and generative compound design, as well as common libraries such as RDKit, DeepChem, ASKCOS, or graph-based ML frameworks for chemistry.
• Outstanding ability to influence across all levels of the organization and drive alignment among technical and executive stakeholders.

Nice to have

• Experience with automated/self-driving labs and working with machine learning in drug discovery.
• Following the rapid evolution of LLMs and other AI solutions and having thoughts on their impact on scientific discovery.
• Background in partnering with biopharma or research organizations to define collaborative milestones and workflows.

Culture & Benefits

• Work within a scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.
• Pioneer boundless discovery by applying AI to every aspect of the scientific method.
• Focus on solving humankind's greatest challenges in human health, climate, and sustainability.
• Competitive base salary with bonus potential and generous early equity.
• Commitment to equal employment opportunity regardless of background.