Level

Salesforce

GTMA Trust - Principal Full-Stack Software Engineer – PMTS

Salesforce is hiring a GTMA Trust - Principal Full-Stack Software Engineer – PMTS in San Francisco, United States. It pays $197k-$314k a year and Level rates it ; you can apply on Level.

AI in this role

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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.

GTMA Trust - Full-Stack Software Engineer – PMTS

Join our dynamic team at Salesforce and make a real impact!


GTMA Trust engineers keep Digital Wallet — the product that lets customers manage, budget, and track usage entitlements across their Salesforce investment — reliable at scale. This is a follow-the-sun team that doesn't just monitor and fix; it owns the operational, technical, and data-integrity backbone underneath a live billing/usage platform where mistakes have direct revenue and customer-trust consequences. As a PMTS, you set the technical direction for how the team protects that trust — architecture, tooling, governance, and the practices that let a small trust org support a much larger surface area.

As a PMTS on this team, you will:

  • Own and drive resolution of the most complex, ambiguous, highest-impact production issues — spanning provisioning, billing/usage pipelines, and cross-org data reconciliation (data lake objects, usage/entitlement records tied to tenant billing,  mismatches, tenant provisioning, sandbox-vs-prod attributions) — going beyond triage into systemic root cause and org-wide fixes.
  • Act as a technical gatekeeper and escalation authority for high-risk production changes: knowing when a "point fix" needs a real rollback path instead of repeat manual sign-off.
  • Set the technical direction for service health: define what "critical signal" means, design instrumentation/alerting/dashboard strategy, and drive Ops Review reporting that leadership and partner teams rely on.
  • Identify and lead multi-quarter structural fixes — including auto-detect-and-fix tooling that eliminates recurring manual interventions — rather than accumulating one-off patches.
  • Act as the technical anchor during major incidents and cross-team escalations (including revenue- or deal-critical customer situations), representing GTMA Trust on incident bridges and negotiating shared-issue closure with partner teams like Data360
  • Build and maintain the team's institutional knowledge: root-cause catalogues, runbooks, and enablement docs that let any engineer — not just tenured ones — resolve recurring classes of issues correctly.



Additionally, you will:

  • Partner at a peer level with product engineering's senior technical leadership, shaping roadmap and design decisions before they're finalized.
  • Be the primary technical voice and SME representing GTMA Trust to Product and partner engineering teams.
  • Define and evolve the team's development process, culture, and codebase standards.
  • Set the bar for the hybrid engineering model — quality and completeness of work, not just velocity.
  • Mentor and grow engineers in technologies, tools, processes, and career development.
  • Present designs and strategy to senior internal/external audiences, setting the standard for design review quality.
  • Define test strategy and automation frameworks that reflect real production risk, not checkbox coverage.
  • Participate in on-call rotation as an escalation point for the hardest real-time problems.
  • Lead adoption of AI-native and agentic engineering practices team-wide — owning concrete patterns like AI-assisted root-cause analysis on support requests/alerts before a human engages, building reusable skills/plugins, and reshaping workflows across the SDLC.
  • Coach the team progress along the AI proficiency journey, coaching orchestration-level use of agentic tools and identifying where automation can safely replace manual toil (e.g. approval triage, root-cause drafting, reconciliation queries).

Required Skills:

  • A related technical degree, or equivalent experience
  • 8+ years of professional software development experience, with a track record of technical leadership beyond your own individual contributions
  • Deep knowledge of object oriented programming and expert-level experience with at least one object oriented programming language (Java, JavaScript, C++, C#, Ruby, Python)
  • Proven experience designing observability and monitoring strategy (e.g., New Relic, Splunk, Grafana) at a system or team level, beyond just consuming dashboards others built
  • High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.)
  • Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JSON, and/or Ajax
  • Validated understanding of database technologies such as SQL, PL/SQL, and relational database schema design, including at scale (data pipelines, large-scale reconciliation, schema correction)
  • Experience designing automated testing strategy and frameworks (Java, JUnit, JSUnit, Selenium) that other engineers build against
  • Demonstrated, hands-on proficiency with agentic coding tools (e.g., Claude Code, agent orchestration/agent teams) applied across the SDLC, including planning, validation, and review workflows, with the judgment to know when to trust automation and when human validation is non-negotiable
  • A strong communicator, experienced explaining complex technical concepts and driving alignment across designers, support, other engineers, and leadership
  • Passion for ensuring the customer has an exceptional experience using our products, and the judgment to prioritize systemic fixes over recurring firefighting
  • Curiosity about systems, and a demonstrated ability to root-cause deep, ambiguous, cross-system puzzles
  • You are motivated by helping other engineers succeed and grow. You proactively look for ways to remove toil, mentor others, and multiply the team's impact beyond your own hands-on work

Preferred Skills:

  • Experience building and operating highly scalable, self-healing web applications and services
  • Experience designing and leading gated, phased production rollouts of automated systems (canary/pilot/full rollout)
  • Experience with Agile software development and test-driven development
  • Bachelor's degree in Computer Science or equivalent field, or equivalent depth of experience
  • Comfortable operating with significant autonomy and ambiguity, and driving cross-team consensus without formal authority
  • Track record of contributing reusable tools, skills, or plugins that raised the whole team's (or org's) baseline capability
  • Desire to drive problems to closure, including problems that require convincing other teams to act

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.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

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 $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 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

GTMA Trust - Principal Full-Stack Software Engineer – PMTS at Salesforce rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsClaudeClaude Code

Also common in software engineer jobs at this level

Pay

This job starts at
$197k
Typical software engineer job
$168k

This posting starts 17% above 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. Walk me through how you've used Claude in your day-to-day work.
  3. What are the limits of Claude Code that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: AI agents, Claude, and Claude Code. 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.

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