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197 Partnerships Manager jobs

Showing 1–20 of 197 jobs

L

Stockholm, SE (On-site)

TL;DR: Product Partnership Manager, Stockholm: own the technical deals — model providers, cloud, dev tools — that power the 60M+ projects built on Lovable.

3 wk. ago

O

Paris, Île-de-France, FR (Hybrid)

About the Team We are hiring a Partnerships Manager based in France with primary responsibility for the French market.

3 wk. ago

C

San Francisco, California, US (On-site)

$220–270K / year

About Cartesia Our mission is to architect AI that learns from and interacts with the world like humans do.

5 mo. ago

O

São Paulo, BR (Hybrid)

About the Team The Partnerships team builds external relationships that expand the reach and impact of OpenAI’s products.

6 days ago

S

London, England, GB (On-site)

£150–210K / year

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket…

1 wk. ago

H

London, England, GB (Hybrid)

We're Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner.

1 mo. ago

A

San Francisco, California, US (Hybrid)

$300–365K / year

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

1 mo. ago

R

Foster City, California, US (Hybrid)

$200–240K / year

Replit is the agentic software creation platform that enables anyone to build applications using natural language.

1 mo. ago

O

San Francisco, California, US (On-site)

$216–240K / year

About the Team The User Operations team (Support) is central to ensuring that our customers' experience with our products is nothing short of exceptional.

2 mo. ago

O

San Francisco, California, US (Hybrid)

$257–445K / year

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API…

2 mo. ago

A

San Francisco, California, US (Hybrid)

$215–300K / year

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

2 mo. ago

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