AI Programs Analyst
- Role
- Project Management
- Employment
- Full-time
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
Early-career program analyst for a US-remote role, with program/project management experience in high-performing product companies. Needs strong stakeholder management, ambiguity tolerance, and interest in AI systems.
Optional skills
ABOUT US
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
THE ROLE
As an AI Programs Analyst at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams to solve our most complex challenges.
This role is ideal for someone who is early on in their career and thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations.
WHAT YOU’LL DO
- Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features.
- Drive execution of multiple simultaneous, cross-functional projects and/or programs.
- Effectively set timelines and manage teams to deadlines.
- Interface with a variety of technical and non-technical stakeholders.
WHAT WE’RE LOOKING FOR
- Experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects.
- Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action.
- Have a track record for being able to successfully organize, implement and manage complex programs and projects.
- Are used to working through trade-offs, balancing competing priorities, and having your mind changed.
- Deep interest in AI systems — direct AI/ML experience valued but not required.
What you'll do
- Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features.
- Drive execution of multiple simultaneous, cross-functional projects and/or programs.
- Set timelines and manage teams to deadlines.
- Interface with technical and non-technical stakeholders.
What they require
- Early-career candidate who thrives in rapidly scaling, high-ambiguity environments.
- Ability to pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations.
- Experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects.
- Strong interpersonal skills to influence without authority and build cross-organizational support, cooperation, and action.
- Track record of successfully organizing, implementing, and managing complex programs and projects.
- Experience working through trade-offs, balancing competing priorities, and changing your mind.
- Deep interest in AI systems.
- Preferred: direct AI/ML experience.
Surge is building a platform that powers AI models in partnership with companies like Anthropic, Google, Microsoft, and Meta, combining human expertise with tools for scalable oversight, RL environments, and evaluations.