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Enterprise Saas Jobs (NOW HIRING)

$16.75 - $23/hr

HappyFox is a fast growing SaaS customer support platform. At HappyFox, Inc. it is all about bringing the happiness quotient to support teams. We offer cloud based Helpdesk, Live Chat and Enterprise ...

$16.75 - $23/hr

HappyFox is a fast growing SaaS customer support platform. At HappyFox, Inc. it is all about bringing the happiness quotient to support teams. We offer cloud based Helpdesk, Live Chat and Enterprise ...

AI Enterprise Platform Architect

Plano, TX · On-site

$66.50 - $85.75/hr

They are seeking an AI Enterprise Platform Architect to define solution architecture patterns and govern enterprise SaaS environments, ensuring consistent delivery across platforms while managing ...

Showing results 21-40

Enterprise Saas information

See salary details

$45K

$115.3K

$172.5K

How much do enterprise saas jobs pay per year?

As of Aug 11, 2026, the average yearly pay for enterprise saas in the United States is $115,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $135,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Enterprise SaaS professional, and why are they important?

To thrive as an Enterprise SaaS professional, you need a strong background in software sales or product management, deep understanding of SaaS business models, and often a relevant degree in business or technology. Familiarity with CRM systems like Salesforce, SaaS analytics tools, and certifications such as AWS Certified Solutions Architect or Salesforce certifications are typically beneficial. Exceptional communication, consultative selling skills, and the ability to build long-term client relationships make someone stand out in this position. These skills are crucial for effectively identifying customer needs, driving adoption, and ensuring long-term customer satisfaction and revenue growth in a competitive enterprise environment.

What is the difference between Enterprise Saas vs Cloud Software Engineer?

AspectEnterprise SaasCloud Software Engineer
Required credentialsBachelor's in Computer Science, experience in SaaS platformsBachelor's in Computer Science, proficiency in cloud technologies
Work environmentProduct-focused, customer-centric SaaS companiesDevelopment teams working on cloud infrastructure and applications
Employer & industry usageTech companies providing SaaS solutions to businessesCloud service providers, tech firms developing cloud-based apps
Search & comparison intentUnderstanding SaaS business models vs cloud development rolesComparing cloud development skills with SaaS product roles

Enterprise SaaS professionals focus on delivering cloud-based software solutions to clients, managing SaaS platforms, and ensuring customer success. Cloud Software Engineers develop and maintain cloud infrastructure, applications, and services. While both roles involve cloud technologies, Enterprise SaaS roles are more product and customer-oriented, whereas Cloud Software Engineers focus on technical infrastructure and development.

What is Enterprise SaaS?

Enterprise SaaS (Software as a Service) refers to cloud-based software solutions designed specifically to meet the complex needs of large organizations. These applications are hosted and maintained by a third-party provider and are accessed over the internet. Enterprise SaaS typically offers robust security, scalability, integration options, and support for compliance with industry standards, making it suitable for handling critical business operations across multiple departments. Examples include customer relationship management (CRM), enterprise resource planning (ERP), and human resources management systems (HRMS).

What are the most common challenges faced by Enterprise SaaS professionals when onboarding new clients, and how can they be addressed?

Enterprise SaaS professionals often encounter challenges such as integrating complex client systems, managing varying stakeholder expectations, and ensuring data security during onboarding. Addressing these challenges typically involves thorough needs assessment, clear communication with client teams, and providing detailed training sessions. Leveraging robust project management tools and collaborating closely with technical and customer success teams can help streamline the onboarding process and build strong client relationships.
More about Enterprise Saas jobs
What cities are hiring for Enterprise Saas jobs? Cities with the most Enterprise Saas job openings:
What states have the most Enterprise Saas jobs? States with the most job openings for Enterprise Saas jobs include:
Infographic showing various Enterprise Saas job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $115,331 per year, or $55.4 per hour.

Senior Staff Engineer, Enterprise SaaS Platform and Automation

NVIDIA

Santa Clara, CA • On-site

$122K - $160K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years. They are hiring a Senior Staff Engineer to design and build automation systems for the SaaS application lifecycle, improving employee productivity and integrating various enterprise platforms.
Responsibilities:
• Design and build agentic systems that automate the full SaaS application lifecycle — onboarding, provisioning, support triage, offboarding — eliminating manual processes across the IT SaaS portfolio.
• Architect and implement automation and integration solutions across Microsoft 365, Slack, Glean, and other enterprise SaaS platforms; define integration patterns and engineering standards for the team.
• Build AI-powered support automation — intelligent triage, self-healing workflows, proactive issue detection — that reduces human intervention and improves employee experience at scale.
• Engineer vendor integration frameworks that automate data flows, contract triggers, and operational touchpoints between NVIDIA systems and SaaS vendors.
• Develop and deploy MCP-based integrations and AI agent pipelines that surface insights, automate decisions, and enable employees to get more done with less friction.
• Instrument platforms for observability — build dashboards, alerts, and analytics that give the team and leadership real-time visibility into SaaS health, adoption, and cost.
• Partner with security and compliance teams to ensure automated workflows meet enterprise standards; build guardrails into automation rather than bolting them on after.
• Mentor engineers and establish engineering best practices — code reviews, runbooks, testing frameworks — that raise the bar for how the team builds and operates.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 8+ years of engineering experience with a track record of building production-grade automation systems, integrations, or platforms at enterprise scale.
• Strong software engineering fundamentals — Python, APIs, event-driven architectures, workflow orchestration — with the instinct to build rather than configure.
• Hands-on experience with AI/ML frameworks, LLMs, or agentic systems; demonstrated ability to apply AI to real operational problems, not just prototype it.
• Deep familiarity with enterprise SaaS platforms (Microsoft 365, Slack, or similar) and the integration patterns, APIs, and data models that underpin them.
• Strong systems thinking — ability to see the full lifecycle of a problem, design durable solutions, and anticipate failure modes before they happen.
• Clear, direct communicator who can translate engineering decisions into business outcomes for non-technical stakeholders.
Preferred:
• Experience building MCP servers, AI agents, or LLM-powered workflows in production environments.
• Track record of measurably reducing manual IT or operations work through automation — quantify it.
• Experience with SaaS vendor management, contract integrations, or procurement automation.
• Passion for employee productivity — you've built tools that real people use every day and you care about the experience.
• Knowledge of enterprise security and compliance requirements for SaaS integrations (OAuth, SCIM, SSO, data residency).
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993