Our Mission

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com.

Our Value

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry. 

We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission. 

Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. 

At Altos, we are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute To Altos

Altos Labs is seeking a Senior Software Product Manager to spearhead the planning and development of our internal computing platform and services for machine learning and scientific computation. This role is integral to our Scalable Modeling & Compute team, coordinating the work of a team of experienced ML and infrastructure engineers to deliver compelling internal platforms and services. It will also involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.

Responsibilities:

  • Lead a user-centered design process: Work closely with our computational scientists and engineers to understand their workflows and needs. Use this understanding to guide the design and development of our modeling and compute platform.
  • Drive strategic direction: Define and execute the product strategy and roadmap for our computational platform. Set clear goals and priorities, make smart trade offs, and ensure alignment across stakeholders.
  • Manage execution: Oversee the ongoing execution of our product development efforts using agile methods. Work closely with the technical lead and engineering team to ensure that our solutions are delivered on time and meet our users' needs.
  • Deliver scalable, usable solutions: Ensure that the solutions we develop are not only technically sound but also easy to use, and scale effectively, balancing technical complexity with usability and performance.
  • Communicate effectively: Convey a compelling vision to computational scientists, engineers, other product managers, and management, listen actively, and evolve the product based on feedback.

Accelerate scientific progress: Ultimately, your goal will be to accelerate progress towards our scientific mission. This will involve constantly looking for ways to improve our platform and services, and to enable our computational scientists to work more effectively and efficiently

Who You Are

Minimum Qualifications

  • Master's degree or higher in computer science, machine learning, computational biology, or physics.
  • 5+ years hands-on experience as a software product manager in machine learning or scientific computation.
  • Proven track record of delivering high quality products, managing the product lifecycle from inception to release and ongoing improvement.
  • Skilled at working effectively with cross-functional teams, including research and engineering organizations.
  • Excellent written and verbal communication skills.
  • Familiarity with large scale machine learning and/or scientific computation tools and infrastructure.

Preferred Qualifications

  • Hands-on experience with developing AI, ML, or scientific models is a plus.
  • Experience with early-stage biotechnology companies is a plus.

The salary range for Redwood City, CA:

  • Senior Software Product Manager: $159,800 - $216,200

Exact compensation may vary based on skills, experience, and location.

 

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-KM1

What We Want You To Know

We are a culture of collaboration and scientific freedom, and we believe in the values of diversity, inclusion and belonging to inspire innovation.

Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 

Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).

Thank you for your interest in Altos Labs where we strive for a culture of scientific freedom, learning, and belonging.

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)
When autocomplete results are available use up and down arrows to review
+ Add another education
+ Add another employment


US Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Altos Labs's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Race & Ethnicity Definitions

 
Gender (Select one)




Are you Hispanic/Latino? (Select one)



Please identify your race (Select one)







Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.
Please complete the reCAPTCHA above.