About the role
The role of Research Operations Lead within the Tokens team at Anthropic is to coordinate and enable our teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimize work on real world applications, cultivating an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams and team members, bringing clarity to ambiguity and providing stability during change. We continually deepen our domain knowledge, working alongside engineers, researchers, and product managers to execute on programs and projects within Anthropic.
The LLMO/Tokens team collaborates with product and research teams inside Anthropic to incubate groundbreaking research and deploy advanced machine learning algorithms to improve Anthropic products and services. This role will work closely with cross-functional teams to deliver research solutions across Anthropic. As a Research Operations Lead, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives.
Responsibilities:
- Lead and drive delivery of large cross functional programs (with sub projects) designed to achieve highly impactful applications of machine learning, keeping teams focused and productive
- Work with your program team to organize and optimize work into clear goals and objectives
- Track progress, maintain up-to-date information and relevant technical documentation, anticipate and propose solutions to issues and risks
- Partner closely with your engineering team lead as a strategic thought partner
- Facilitate conversations, meetings and opportunities for collaboration within Anthropic product teams, to drive the best outcomes; create connections and relationships
- Evaluate and improve processes, tools, templates and documentation for repeatability and sustainability
- Learn new business and technical skills quickly, adapt to changing environments while providing day-to-day coordination and quality assurance for projects and tasks
- Independently perform technical due diligence to evaluate engineering scope, establish milestones, timeframe, and engineering resourcing needs
You might be a good fit if you:
- Have extensive knowledge and expertise in program management, are able to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change
- Have the ability foster respect, inclusion, and collaboration when working with teams, and skilled in building relationships and fostering trust with a diverse group of people
- Have excellent communication skills, with the ability to distill complex ideas to their essence
- Are proactive about learning and acquiring knowledge to enhance your domain knowledge
- Hold a technical degree or equivalent working knowledge
- Have knowledge of or are curious to learn about AI / machine learning research
Strong candidates may also have:
- BS in a relevant technical field or equivalent experience
- Knowledge of the Search ecosystem.
- Solid understanding of machine learning fundamentals