Technical Program Manager, Research
San Francisco, CA | New York City, NYFull-TimeManagerProduct / Project
About Anthropic
- Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
- Anthropic's research organization works across the full model development lifecycle — from pre-training and post-training to alignment, interpretability, and safety — each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll be embedded in a research domain, charged with understanding how researchers work and what they need, from compute resources to cross-team coordination. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore a domain, determine what it needs, and create lasting impact where none existed before.
Responsibilities
- Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve
- Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent
- Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down
- Coordinate large-scale compute resource planning including allocation, efficiency, and prioritization across research and production workstreams
- Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations
- Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution
You May Be a Good Fit If You
- Have a background in ML research or engineering with several years of experience building technical programs from scratch
- Are a fast learner, capable of understanding and contributing to discussions on complex technical topics
- Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
- Have a track record of operational ownership of production ML systems, including monitoring, incident response, and performance optimization
- Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery
- Are comfortable with high-stakes environments where decisions impact millions of dollars in compute spend and model training timelines
- Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
- Are excited to redefine what technical program management looks like at the frontier of AI research
Deadline to apply: None, applications will be received on a rolling basis.
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
