As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the progress of generative AI, with a focus around frontier evaluations, the science of data around posttraining, agentic applications, trustworthy agents oversight frameworks and beyond.
In this high impact role, you will partner closely with our leaders in the ML organization, develop research roadmaps, drive planning processes, and lead ML strategy. The ideal candidate is a highly motivated individual who is able to combine meticulous planning & organization, analytical rigor, an obsessive focus on customer relationships and outcomes, and an empathetic interpersonal style. You have a demonstrated ability to lead AI projects and initiatives, establish credibility with internal and customer C-Suite stakeholders, and are comfortable rolling up your sleeves to tackle a variety of challenges. If you want to work on the most ambitious Generative AI innovation in the world and have some fun while doing it, we'd love to hear from you!
You will:
- Partner with the Head of ML and other senior leaders to define business priorities, drive execution of key initiatives, and create alignment between and within teams.
- Help develop overall business unit strategy, business development priorities, and internal operating models.
- Drive weekly, monthly, quarterly, annual planning processes for the ML business unit.
- Perform analyses and provide recommendations to facilitate effective business unit decision making.
- Own key operational rhythms / processes (weekly leadership meetings, All Hands, OKR reviews, team offsites), including preparing the agenda, facilitating the discussions, documenting notes / action items, and closing out follow ups.
- Act as a thought partner to ML business unit leadership, proactively identifying risks and opportunities to shape our products and improve internal operations.
Ideally you'd have:
- Exceptional executive communication skills with the ability to distill complex ideas into clear, concise insights—and deliver them through engaging presentations and slide decks.
- Demonstrated technical aptitude; comfortable reviewing technical research (e.g., Scale AI Research) and grasping high-level concepts quickly.
- Highly organized with a planning-focused mindset. Strong prioritization and multitasking capabilities in fast-paced, dynamic environments.
- A strong orientation towards outcomes and data-driven decision making, and a willingness to roll up your sleeves to get the job done.
- Proven track record of building relationships and influencing across teams without direct authority.
Nice to haves:
- Degree or professional experience in computer science or other STEM fields, or hands-on experience with building software or machine learning systems.
- Enterprise and/or AI product management experience.
