Global Public Policy Manager, Compute, Infrastructure & Sovereign AI
Company websitecohere.com (Cohere, opens in new tab)
Base salary $190K to $240K
Employer-published annual base salary, USD. Advertised base range in Washington, DC +1 more
This opportunity has 2 location variants. Pay shown applies only to the location named; other locations may differ.
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationWashington, DC +1 more
- WorkplaceRemote
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
All places named
- Washington, DC
- USA - California, New York, Washington state
About this job
Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
About the Role
Cohere is seeking a Global Public Policy Manager to lead policy engagement on compute infrastructure, export controls, AI competitiveness, and sovereign AI strategies. Governments increasingly view AI as critical national infrastructure and are investing heavily in compute capacity, energy resources, and domestic AI ecosystems.
This role will help position Cohere as a trusted partner in emerging discussions around AI infrastructure, national competitiveness, and sovereign AI deployment.
Key Responsibilities
Monitor and analyze developments related to AI infrastructure, data centers, energy policy, semiconductor policy, export controls, and national AI strategies.
Develop policy positions on sovereign AI, compute access, digital sovereignty, and AI competitiveness.
Support engagement with governments developing AI infrastructure investment programs and national AI initiatives.
Collaborate with commercial, product, and corporate development teams on strategic opportunities involving public-private partnerships.
Represent Cohere in policy discussions related to AI infrastructure, energy requirements, and technology competitiveness.
Produce policy analysis and thought leadership on AI infrastructure and sovereign AI trends.
Qualifications
5–7 years of experience in public policy, technology policy, trade policy, energy policy, national security policy, or related fields.
Strong understanding of geopolitical technology issues, AI infrastructure, export controls, or digital sovereignty.
Ability to assess emerging policy developments and identify strategic business implications.
Excellent analytical and stakeholder engagement skills.
Preferred Qualifications
Experience working on semiconductors, cloud infrastructure, energy policy, telecommunications, or national competitiveness issues.
Familiarity with government AI investment programs and international technology policy.
Full-Time Employees at Cohere enjoy these Perks:
A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Full health and dental benefits, including a separate budget for mental health.
RRSP matching, 401K, Pension Scheme.
100% Parental Leave top-up for up to 6 months, for either parent.
Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
6 weeks of paid vacation (30 working days!)
Budget for traveling to other offices if you are remote, plus an annual company offsite.
How and Where We Work:
Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Source: Cohere on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($190,000) is above 88% of the 4,118 Business Operations roles nationwide listed on this site; 33 others list the same floor. Their median floor is $135,000; the middle half runs from $117,000 to $160,426.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingGlobal Public Policy Manager, Compute, Infrastructure & Sovereign AI$190K to $240K
Senior Research Engineer - Safety Tooling and Data$205K to $380K
Senior Sales Operations Specialist$135K to $170K
Forward Deployed Engineer, Inference$340K to $415K
Chart as a table
| Role | Published base |
|---|---|
| Global Public Policy Manager, Compute, Infrastructure & Sovereign AI (this listing) | $190K - $240K |
| Senior Research Engineer - Safety Tooling and Data | $205K - $380K |
| Senior Sales Operations Specialist | $135K - $170K |
| Forward Deployed Engineer, Inference | $340K - $415K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-09-02
Where this pay comes from
$190K - $240K in Washington, DC +1 more
Location as the employer wrote it: USA - California, New York, Washington state & Washington DC
USD 190,000 – 240,000 · 1 YEAR · Salary · USA - California, New York, Washington state & Washington DC
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
$150K - $190K in United States
Location as the employer wrote it: USA - All Other States
USD 150,000 – 190,000 · 1 YEAR · Salary · USA - All Other States
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
