Senior Technical Product Manager

Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets. Remote within the United States; hybrid work available in Vancouver, WA and New York City, NY.

About the role

We are seeking a Senior Technical Product Manager to join our AI Research and Development team. You will develop and execute the vision, strategy, and deployment of both AI and lab products at Absci. You will drive small, interdisciplinary teams of AI/ML researchers, software engineers, structural biologists, and screening scientists to build delivery platforms for designing, optimizing, and validating biologics for conditions like cancer, autoimmune diseases, and infectious diseases.

You will serve as a bridge between our AI Research and Biologics Discovery Technology teams, leading initiatives in one of two key areas:

• AI-Guided Target Identification: An AI platform leveraging genetic-based evidence to discover novel target-indication pairs and de-risk in vivo or ex vivo pathway validation.
• AI-Guided Drug Design: A platform using generative AI to design and optimize antibody-based drugs to grow Absci’s internal pipeline and deliver on external partnerships.

Responsibilities

• Gather and synthesize product requirements from AI, Engineering, Wet Lab Scientists, and Business Development teams, then drive alignment with leadership for actionable product strategy.
• Own product roadmaps with decisive precision and bias for action; make trade-off decisions between competing priorities and risk.
• Partner with managers and technical leads with diverse backgrounds to establish a cohesive product vision.
• Build detailed roadmaps, backlogs, and execution plans for assigned domain; partner with management to define OKRs and KPIs; track performance and adjust strategy based on data.
• Lead cross-functional teams through product initiatives from conception through deployment and optimization, proactively identifying and removing blockers.
• Conduct research with the product team and potential users to understand needs, pain points, and opportunities.
• Drive adoption and successful deployment of products within internal programs and external partnerships.

Qualifications

• Bachelor's degree in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or related field.
• At least 5 years of professional experience working on production-grade software or technical product development.
• 3+ years of working or educational experience in AI/ML and/or Protein Engineering.
• Strong technical knowledge to enable effective collaboration with world-class engineers and scientists.
• Proven track record of creating and executing product roadmaps to deliver high-impact work.
• Demonstrated ability to manage complex stakeholder relationships across diverse teams.
• Excellent written and oral communication skills; ability to explain complex technical and business concepts.
• Excellent organizational skills and ability to manage multiple competing priorities.
• Comfortable working in a fast-paced environment with autonomy, accountability, and bias for action.

Preferred Qualifications

• Master’s or PhD degree in a relevant field.
• Experience in the Biotech or Pharmaceutical industries.
• Experience with generative AI (GenAI), NLP, computer vision, large language models (LLMs), or protein language models.
• Experience with MLOps tools such as Weights & Biases.
• Deep knowledge of bioinformatics, computational protein design, computational genomics, immunology, structural biology, antibody engineering, or related fields.
• Experience with NGS, SPR, or Flow Cytometry data.
• Experience as an agile coach, product owner, or Scrum Master.

Pay

The salary range for US-based employees in this position is $145,000 - $180,000/year. Competitive equity package applies. Pay offered may vary depending on job-related knowledge, skills, and experience.

Benefits

• Medical, dental, and vision benefits.
• Employee stock purchase plan.