We're training and deploying frontier models for enterprises who are building AI systems. We ... Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to ...
We're training and deploying frontier models for enterprises who are building AI systems. We ... Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to ...
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Software Engineer, Platform
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Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
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Enterprises operating on institutional intelligence--governed, self-improving, and scalable beyond ... Website: Role Overview As a Software Engineer, AI Platform, you will help design, build, and ...
We're training and deploying frontier models for enterprises who are building AI systems. We ... Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to ...
We're training and deploying frontier models for enterprises who are building AI systems. We ... Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to ...
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
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Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Working across a network of AI builders, model providers, inference platforms, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.
Platform Enterprises information
See salary details
$33.17 - $38.79
3% of jobs
$38.79 - $44.41
9% of jobs
$44.41 - $50.02
12% of jobs
$50.72 is the 25th percentile. Wages below this are outliers.
$50.02 - $55.64
13% of jobs
$55.64 - $61.25
12% of jobs
The median wage is $62 / hr.
$61.25 - $66.87
16% of jobs
$72.23 is the 75th percentile. Wages above this are outliers.
$66.87 - $72.49
12% of jobs
$72.49 - $78.10
10% of jobs
$78.10 - $83.72
5% of jobs
$83.72 - $89.34
5% of jobs
$89.34 - $94.95
4% of jobs
$33
$63
$94
How much do platform enterprises jobs pay per hour?
As of Jul 1, 2026, the average hourly pay for platform enterprises in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.
What are Platform Enterprises?
Platform enterprises are businesses that create and manage digital platforms where different groups, such as consumers, producers, or service providers, can connect and interact. These companies act as intermediaries, facilitating exchanges of goods, services, or information, often leveraging technology to scale rapidly. Examples include companies like Uber, Airbnb, and Amazon Marketplace. Platform enterprises differ from traditional businesses by focusing on enabling interactions rather than owning the means of production or inventory.
What are some common challenges faced by professionals working in Platform Enterprise roles, and how can they be addressed?
Professionals in Platform Enterprise roles often navigate the complexity of integrating diverse technologies and ensuring robust scalability as the platform grows. A common challenge is balancing the needs of multiple stakeholders, including developers, partners, and end-users, while maintaining high system reliability and performance. Effective communication and collaboration within cross-functional teams are essential, as is staying updated with evolving industry standards. Proactively seeking feedback and leveraging automation tools can also help streamline processes and address day-to-day operational hurdles.
What are the key skills and qualifications needed to thrive as a Platform Engineer, and why are they important?
To thrive as a Platform Engineer, you need expertise in software engineering, cloud infrastructure, automation, and systems architecture, often supported by a degree in computer science or a related field. Familiarity with tools such as Kubernetes, Docker, Terraform, CI/CD pipelines, and cloud platforms like AWS, Azure, or Google Cloud is essential, along with certifications such as AWS Certified Solutions Architect or Certified Kubernetes Administrator. Strong problem-solving skills, collaboration, and effective communication set outstanding platform engineers apart. Mastering these skills ensures scalable, reliable, and efficient platform solutions that empower development teams and support organizational growth.
What is the difference between Platform Enterprises vs Cloud Engineers?
| Aspect | Platform Enterprises | Cloud Engineers |
|---|---|---|
| Required Credentials | Typically requires degrees in business, IT, or related fields; certifications like PMP, AWS, or Azure are common | Requires degrees in computer science or related fields; certifications like AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect |
| Work Environment | Corporate offices, data centers, or remote; focus on platform management and strategy | Cloud service providers, tech companies, or client sites; focus on cloud infrastructure and deployment |
| Employer & Industry Usage | Used by large enterprises managing multiple platforms and services | Used by tech companies, startups, and consultancies deploying cloud solutions |
Platform Enterprises focus on managing and strategizing platform ecosystems within organizations, often involving business and technical coordination. Cloud Engineers specialize in designing, deploying, and maintaining cloud infrastructure. While both roles work with cloud technologies, Platform Enterprises have a broader organizational role, whereas Cloud Engineers are technical specialists implementing cloud solutions.
What cities are hiring for Platform Enterprises jobs? Cities with the most Platform Enterprises job openings:
What states have the most Platform Enterprises jobs? States with the most job openings for Platform Enterprises jobs include:
What job categories do people searching Platform Enterprises jobs look for? The top searched job categories for Platform Enterprises jobs are:
Full-time
Medical, Dental, Retirement, PTO
Posted 28 days ago
Job description
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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
About North:
North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients' engineering teams, you'll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We're looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You'll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
Note: between 20 - 40% travel anticipated
Location: Eastern Time Zone (US/Canada)
In this role, you will:
You may be a good fit if:
It's a bonus if you have:
Full-Time Employees at Cohere enjoy these Perks:
How and Where We Work:
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.
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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
About North:
North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients' engineering teams, you'll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We're looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You'll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
Note: between 20 - 40% travel anticipated
Location: Eastern Time Zone (US/Canada)
In this role, you will:
- Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
- Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
- Travel up to 20-40% to work on-site with customers and partners
You may be a good fit if:
- You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
- You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
- You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
- You're experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
- You have experience owning the full scope of a use case end-to-end
- You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
It's a bonus if you have:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
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. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming 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.