Technical Product Manager, Prescient LLM

Posted 22 Hours Ago
Be an Early Applicant
New York, NY
165K-307K Annually
3-5 Years Experience
Healthtech • Biotech
The Role
The Technical Product Manager will define the roadmap for the LLM team, prototype LLM models, coordinate beta testing, and synthesize user insights into actionable requirements. The role involves collaboration with diverse stakeholders to develop innovative ML technologies for drug discovery.
Summary Generated by Built In

The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Genentech, a member of the Roche Group.

The Opportunity

At Genentech Computational Sciences (gCS) Prescient Design, we are revolutionizing drug discovery with ground breaking machine learning techniques. We are currently seeking an exceptional and technical Product Manager who has a demonstrated background in rapidly prototyping and launching innovative ML technologies and products. As part of the Prescient Language Model (LM) team, you will work on a team of machine learning researchers and engineering to coordinate the development and deployment of new, cutting-edge LLM-based products including multimodal LLMs, agents, as well as the Prescient LLM Platform. You will work closely with Prescient Engineering, Genentech Computational Sciences (gCS), and teams across the Roche family of companies to identify, strategize, and realize high-impact applications from across the drug discovery and development pipeline.

Prescient Design provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to rich sources of data, close links to top academic institutions around the world, as well as internal Genentech and Roche partners and research units. As part of the new Prescient LM team, the Product Manager will primarily focus on accelerating our efforts around building and deploying state-of-the-art LLMs capable of learning from large, heterogeneous sources of information. You thrive in ambiguous, challenging environments and have the curiosity to understand research and product goals to connect our technologies –and contribute uniquely to– many different project teams across Roche.


 

In this role, you will:

  • Define the roadmap for the LLM team in terms of both applications and products

  • Rapidly prototype and experiment with with different Prescient LLM models, libraries, and frameworks to validate fit for various projects and stakeholders

  • Coordination of beta-testing of newest LLMs with user groups as well as Prescient LLM and Engineering teams

  • Synthesizing user insights, feedback, and use-cases into actionable Engineering or Research requirements, user stories, and specifications

  • Ability to work and influence across a diverse set of stakeholders, including scientists and engineers, from across Roche
     

Who you are

  • 4+ years in product management, relevant experience launching new ML products and scaling existing products

  • Intense curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts.

  • Technical background with experience working cross functionally with engineering teams to ship technical products
    Experience working with or applying Large Language Models (LLMs) in products

  • Experience in the AI/ML industry

  • Proficiency with Python and SQL; familiarity with PyTorch preferred

  • The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business/scientific problem at hand, finding simple, easy-to-understand solutions and translating requirements into code/engineering

Preferred

  • Track record of launching products that have found distribution or commercial success

  • Excitement for engaging in cross-organizational collaboration, with the ability to balance complex priorities

  • Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication

  • Passion for latest ML technologies, informed by taking an active interest in emerging research and industry trends including ML for drug discovery

#gCS

#tech4lifeAI

Relocation benefits are available for this job posting

The expected salary range for this position based on the primary location of New York is $165,200 - 306,800 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

Top Skills

Python
PyTorch
SQL
The Company
HQ: South San Francisco, CA
20,069 Employees
On-site Workplace
Year Founded: 1976

What We Do

Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 40 years.

Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.

We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal.

Making a difference in the lives of millions starts when you make a change in yours.

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