Jobs and Careers

Field Strategist

Palo Alto, United Statesfull_timeVerifiedPosted 25 Jun 2026

About the role

Advancements in AI bring both opportunities and serious risks. Atlas Computing takes on society-scale AI risks that no existing institution is built to address — we design the intervention, validate it with domain experts and funders, then recruit and empower the specialist who will own it.

You can think of us as:

A tiger team that identifies, scopes, and launches interventions that aren't a good fit for existing organizations
A design studio developing and staffing product requirements docs for coordination and market failures
A think tank combined with whatever their analog of "tech transfer" would be.

We start from the opportunity or risk, map the context in which the need for interventions arises. Then we sketch possible interventions, iteratively working with experts to ensure feasibility and potential stakeholders to establish sufficiency to have the desired impact. Finally, we will make it as easy as possible for a career professional to take ownership over each intervention (we believe most of these efforts don't require risk-seeking young generalists courted by traditional VCs, but rather are best addressed by career professionals who have spent the last decade or more executing on very similar work).

Atlas Computing is looking to hire a cohort of Field Strategists to scope multiple potential interventions simultaneously and hand them all off.

While this is a separate role from our Founders (who will scope intervention they would like to lead themselves), we expect the Field Strategists will work closely in collaboration with our cohort of Founders.

While Atlas interested in many aspects of AI Resilience, we expect this first cohort will likely focus on some combination of cybersecurity, datacenter security, and epistemic security; we will prioritize candidates with relevant experience.

Success in the first 6 months looks like

The hire has created two or more clear write-ups describing:

Why advances in AI capabilities pose a specific risk to society

What a proposed intervention would look like.

Who are the best people in the world to advise and steer the intervention

(and their attestation that this solution is plausible).

What decision-makers would change their behavior because of this intervention

(and their attestation that this intervention plan is sufficient).

Who would likely fund it

(and what their decision criteria would be).

What skills and experience the founder needs (and where are we likely to find that person)

The hire has worked with a recruiter to pitch potential founders for that organization and has introduced one to potential funders.

A more junior hire would:

focus on 1-2 organizations at a time.

benefit from checking in with Atlas leadership multiple times per week.

A more senior hire would:

develop 3-5 organizations simultaneously and on ~3-5 month timescales.

benefit from the freedom of little oversight.

be "fire and forget", sharing weekly updates as needed to highlight potential opportunities.

(perhaps) provide mentorship to junior hires.

Note that we expect this first cohort to focus primarily on starting new efforts in the United States that could scale globally, rather than creating efforts starting outside the US, but this is not a hard constraint.

You may be a fit for this role if you have…

expertise in navigating and/or modifying complex systems (natural or human-made),

This could look like complex systems research in academia, policy research at a think tank, market research in a product role, or analyst research in the intelligence community.

generalist: able to quickly understand nuances in a variety of topics, including ML architecture, export control laws, and ideological differences within the AI community.

meaningful experience in at least one of these areas:

Cybersecurity - Technical:

Software security, vulnerability analysis (or related).

Hardware security or hardware supply chain security (or related).

Identity & authentication systems (or related).

Privacy engineering or privacy threat modeling (or related).

Cybersecurity - Strategic:

Cybersecurity strategy, Red Team, or threat intelligence (or related).

Cyber-defense coordination or policy (e.g., IC, CISA).

Risk analysis in highly complex environments.

Epistemic Security - Technical:

Media forensics, deepfake detection, or content provenance (or related).