Description
About the role
Our Partner Experience team is building an AI-native operating model on top of a growing set of partner-facing systems: Salesforce, PEM, the partner portal, enablement and certification platforms, and the integrations that connect them. As a Senior Partner Systems Analyst, you'll own how change happens on the partner systems stack. You'll connect the business to all of them: run discovery, capture requirements, lead UAT, and publish release notes for every bug fix, improvement, enhancement, and new build.
Key responsibilities
- Lead discovery for new requests: meet with partner managers, partner operations, and other stakeholders to understand the problem, map the current process, and size the change before anything is built.
- Capture requirements for bug fixes, improvements, enhancements, and new builds: user stories, process flows, field and access definitions, acceptance criteria, and edge cases.
- Work with the GTM Systems team and the AI Operations Engineer through the full delivery cycle for enhancements, improvements, new builds, and bug fixes.
- Own UAT for every change: write the test plan and test cases, coordinate testers, log and retest defects, and collect sign-off.
- Write and publish release notes for every release: what changed, who it affects, and what users need to do differently.
- Prioritize the backlog with stakeholders, weighing partner impact, risk, and effort.
- Serve as the point of contact for bugs, enhancement requests, and system questions across Salesforce, PEM, and the partner portal.
- Triage production incidents: reproduce the issue, assess impact and severity, resolve it or route it to the right owner.
- Administer Salesforce for the partner org: objects, fields, page layouts, validation rules, flows, permission sets, reports, and dashboards.
- Understand how data moves between Salesforce and PEM, monitor integration health, and diagnose sync failures.
- Document the platform: system documentation, data dictionary, integration maps, and admin runbooks.
- Identify repeatable admin and support requests, log them as automation candidates, and partner with the AI Operations Engineer to move them off the manual queue.
Minimum qualifications
- Experience running discovery and requirements sessions with business stakeholders.
- A track record of working with a systems or engineering team through a build.
- Disciplined testing habits: planned and run UAT with business users.
- Clear written communication: requirements get built correctly the first time, release notes tell non-technical users what changed.
- You already use LLM tools like Claude in your day-to-day work.
- A track record of owning a production Salesforce org or business systems stack.
- Strong Salesforce admin skills: declarative configuration, flows, validation rules.
- Working knowledge of integrations: how records sync between systems through APIs or middleware.
- A structured approach to incidents: separate symptoms from root cause.
- Judgment about priorities: say "no" or "not yet" and explain why.
Preferred qualifications
- 5+ years as a business systems analyst, Salesforce administrator, or in a similar role.
- Experience working in a sprint-based delivery model.
- Experience with partner relationship management (PRM) platforms.
- Salesforce release management experience.
- SQL or scripting skills for data investigation and cleanup.
- Salesforce Administrator, Platform App Builder, or Business Analyst certification.