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Salesforce

Software Engineer

Salesforce is hiring a Software Engineer in Denver, United States. It pays $117k-$177k a year and Level rates it ; you can apply on Salesforce.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
  • The posting mentions React, Node.js and APIs among its tools and skills.
  • Level classes it as a mid-level role.
  • Salesforce has 1,500+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Build and scale Marketplace and Applied AI systems, apps, and developer workflows using modern full-stack tools.

reactnode-jsapisai-coding-assistants
ai-agentsfull-stack-developmentfront-endproduct-engineeringdeveloper-experience

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Applications will be accepted until 11/06/2026.

About The Opportunity

Contentful is looking for a Software Engineer to join our Applied AI product line with a primary focus on Marketplace. In this role, you will help build, maintain, and grow the systems, apps, and workflows that expand what customers can do with Contentful.

You will work across the Marketplace surface area and adjacent Applied AI tooling, helping us deliver high-impact apps, improve the contribution and review pipeline, and scale the ways internal and external developers build on top of Contentful. While Marketplace is the primary focus, this role should also be able to contribute across adjacent Applied AI areas like Extensibility and Developer Experience when priorities call for it.

This role is ideal for an engineer strong in front-end product work but not limited to it: someone comfortable moving between React surfaces, Node.js services, APIs, developer tooling, and production operations as needed. We are looking for a product-minded full-stack engineer who enjoys strong cross-functional collaboration and taking growing ownership of software through its full lifecycle in production.

We are also evolving how we build software. We increasingly use AI-assisted development workflows to accelerate delivery, reduce menial workload, and improve leverage across the software development lifecycle. We are looking for an engineer who is genuinely excited to experiment with these tools — not just adopt them passively, but bring strong engineering instincts to getting the most out of them.

This is a hybrid role, with office attendance in Denver expected 2 days per week (Tuesday, Thursday). 

What To Expect?

  • Design, build, and maintain Marketplace features, apps, and supporting services that improve the experience for both app builders and app installers.
  • Contribute to the systems and tooling that help Contentful teams and partners bring new apps and integrations to market faster.
  • Contribute across adjacent Applied AI problem spaces, including extensibility workflows, developer tooling, internal platform capabilities, and backend services that support developers building on Contentful.
  • Improve contribution workflows, trust and safety checks, maintainability, and operational quality across Marketplace and Applied AI surfaces.
  • Partner closely with product, design, and engineers across Applied AI to shape solutions that solve meaningful customer and business problems.
  • Help generalize, polish, and productionize internally built apps and Applied AI contributions so they can be supported long-term by Marketplace Engineering.
  • Own software in production, including debugging issues, improving observability, strengthening reliability, and participating in support and operational responsibilities.
  • Use AI-assisted workflows across planning, implementation, debugging, and documentation where they create real leverage.
  • Help the team improve how we use AI in engineering by sharing practices, refining workflows, and contributing to a healthy engineering culture around quality and speed.

What You Need To Be Successful

  • Roughly 4-7 years of relevant software engineering experience
  • Solid professional software engineering experience building and maintaining production systems.
  • Strong experience with TypeScript and Node.js, plus solid experience building user-facing product surfaces in React or similar front-end frameworks.
  • Clear strength in front-end engineering, paired with real comfort contributing to backend services, APIs, and developer-facing tooling rather than working exclusively in the UI layer.
  • Experience designing and evolving APIs, integrations, and services used by other engineers, partners, or customers.
  • Good judgment around reliability, maintainability, security, and technical tradeoffs in a product environment.
  • Comfort working across the stack and across boundaries, from user experience to backend behavior to operational concerns.
  • Strong communication and collaboration skills, including experience working cross-functionally and asynchronously across teams and time zones.
  • A product mindset and real empathy for developers, partners, and customers.
  • Practical experience using AI tools to improve engineering productivity, with the ability to evaluate outputs critically and maintain a high quality bar.
Nice to Have
  • Experience with developer platforms, SDKs, app frameworks, marketplaces, extensibility products, or integration ecosystems.
  • Experience with AWS, Terraform, Kubernetes, Cloudflare, or related cloud infrastructure.
  • Experience maintaining or contributing to public or shared developer tooling.
  • Familiarity with AI-native product surfaces, agentic workflows, or systems that connect software to external tools and services.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $176,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

How we rate this

Software Engineer at Salesforce rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsFull Stack DevelopmentFront EndProduct EngineeringDeveloper ExperienceReactNode.jsAPIs

Also common in software engineer jobs at this level

Pay

This job starts at
$117k
Typical software engineer job
$167k

This posting starts 30% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where full stack development was part of your work. What did you do?
  3. Tell me about a project where front end was part of your work. What did you do?
  4. Tell me about a project where product engineering was part of your work. What did you do?
  5. Tell me about a project where developer experience was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Full Stack Development, Front End, Product Engineering, and Developer Experience. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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