Lead Technical Program Manager, AI Development

The Allen Institute for Artificial Intelligence; Washington, Seattle (District of Columbia, WA); Hybrid; USD 159,000 - 240,000; Full time

Job summary

An established industry player is seeking a seasoned technical program manager to drive AI initiatives that tackle real-world problems, particularly in cancer research. In this dynamic role, you'll collaborate with world-class researchers and external partners, ensuring seamless integration of AI solutions. Your leadership will be pivotal in fostering innovation and strategic relationships, while your communication skills will help articulate complex concepts to varied audiences. Join a vibrant team dedicated to making a significant impact through AI, and enjoy a supportive work environment that values collaboration and work-life balance.

Benefits

Comprehensive health insurance

Dental insurance

Vision insurance

401(k) plan

Monthly stipends for commuting

Paid time off

Bonuses

Flexible spending accounts

Qualifications

• 12+ years of experience in product or program management.
• Experience in AI, especially large-scale neural networks.
• Excellent communication skills for diverse audiences.

Responsibilities

• Lead AI2's engagement with the Cancer AI Alliance.
• Define and implement program management systems.
• Maintain transparent communication with leadership.

Skills

Product Management

Program Management

AI and Machine Learning

Communication Skills

Strategic Relationship Building

Education

BS in Computer Science

BS in Data Science

BS in Statistics

BS in Engineering

BS in Applied Mathematics

Job description

Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about hybrid work arrangements for this role, please ask your recruiter.

Our base salary range is $159,840 - $239,760, and in addition, we have generous bonus plans to provide a competitive compensation package.

Who You Are:

You are a seasoned technical program manager passionate about AI's potential to solve real-world problems, such as understanding and treating cancer. You thrive in greenfield environments, adapt quickly to evolving challenges, and are comfortable wearing multiple hats. With a strong track record of leadership, you are ready to drive critical AI initiatives forward.

You excel at building strategic relationships, understanding partner priorities, and fostering collaboration. A skilled communicator, you can translate complex technical concepts into compelling narratives for diverse audiences, ensuring stakeholder alignment and engagement.

Who We Are:

You will join the program management team within our Strategic Infrastructure (SI) group, responsible for defining and executing AI2's flagship projects, including open foundation models, AI agents for science, and AI-for-environment initiatives. Our team works directly with world-class researchers to connect R&D, engineering, and real-world impact, from managing our GPU cluster to collaborating with executives for decision-making.

Your Next Challenge:

AI2 has expanded its R&D portfolio and joined the Cancer AI Alliance (CAIA) led by the Fred Hutch Cancer Center, aiming to build the world's most comprehensive cancer AI lab. You will lead AI2's engagement with CAIA, ensuring seamless collaboration across cancer centers and technology partners. Additionally, you will serve as the TPM lead for R&D workstreams focused on privacy-preserving AI.

The core responsibilities include:

• Represent AI2 in alliance meetings, fostering collaboration and innovation.
• Identify external risks and opportunities, driving strategic changes as needed.
• Define and implement program management systems for team structure, decision-making, and communication.
• Maintain transparent communication with leadership and stakeholders on progress, risks, and mitigation strategies.
• Demonstrate leadership by modeling growth, improving processes, and fostering a high-performance culture.

What You'll Need:

• 12+ years of experience in product or program management
• BS degree in Computer Science, Data Science, Statistics, Engineering, Applied Mathematics, or equivalent experience
• Experience building successful products or collaborating with external partners
• Experience in AI, especially large-scale neural networks
• Research environment experience
• Excellent communication skills, adaptable to technical, non-technical, and executive audiences

Bonus Qualifications:

• People management experience
• Healthcare or biomedical domain experience
• Experience handling highly sensitive data

Physical Demands and Work Environment:

• Remain stationary for long periods
• Communicate effectively
• Observe details at close range
• Work under deadlines

About Ai2:

Ai2 is a Seattle-based non-profit AI research institute founded in 2014 by Paul Allen. Our mission is to develop breakthrough AI to address major global issues through foundational research, open models, data, robotics, and conservation.

Our culture emphasizes learning, inclusion, work/life balance, collaboration, transparency, and community engagement. We offer a vibrant Seattle location with outdoor activities and a friendly environment. We welcome applicants from outside the U.S.

Ai2 is an Equal Opportunity employer and participates in E-Verify. We provide reasonable accommodations per the ADA and encourage contact at [e-mail] if needed.

Benefits include:

• Comprehensive health, dental, vision, life, and disability insurance
• Voluntary insurance options and flexible spending accounts
• 401(k) plan
• Monthly stipends for commuting, internet, fitness, and wellbeing
• Paid time off, holidays, bonuses, and long-term incentives

Note: This description outlines core duties but is not exhaustive. Responsibilities may evolve, and employment is at-will. Skills, abilities, and qualifications are essential for job performance and may exclude individuals posing safety risks.