Tech Stack
AWSJavaScriptPythonSFDCSQL
About the role
- Support Solutions Consulting and Implementation teams by performing environment configuration, integrations, and data mappings (no direct client interaction)
- Execute key configuration tasks to drive adoption and quality for accounts via internal teams (SC/CSM/Support)
- Manage work across multiple internal stakeholders; prioritize effectively and deliver on time
- Collaborate with Product/Engineering on which requests to support; provide clear internal recommendations and trade-offs
- Continuously improve internal post-sales workflows to accelerate time-to-value
- Create and maintain internal documentation, playbooks, and an up-to-date knowledge base
- LaunchDarkly Engineering Support: manage and audit feature flags, targeting rules, controlled rollouts; validate experiments and partner with ENG for safe rollbacks
- Ad-Hoc Engineering Support: own escalated technical issues—triage, reproduce, coordinate hotfixes, and communicate updates; capture lessons learned
- AWS Platform Support: collaborate on IAM checks, configuration validation, service health monitoring; provide cost and usage insights and escalate against error budgets
- Punchout/eProcurement Troubleshooting: lead end-to-end debugging of cXML/OCI integrations (headers, mappings, auth, response codes); coordinate with ENG and Datadog for monitoring signals and create durable playbooks
- Reporting & Insights: build and maintain Salesforce dashboards; use Slack access to develop insights, automate reporting, and support client health visibility
- Access Governance & Security Compliance: maintain least-privilege access for sensitive accounts; enforce non-contractor access rules and coordinate reviews with Security/IT
Requirements
- Experience as an analyst/associate/project manager supporting key internal stakeholders in B2B SaaS
- Excellent written/verbal communication and documentation skills
- Extreme attention to detail; highly proactive and organized
- Strong data management skills, especially handling large, sensitive datasets in Excel
- Able to push back constructively while maintaining strong internal relationships
- Very comfortable with software configuration (deeper technical skills are a plus)
- Willing to do what it takes in a fast-moving, early-stage environment
- Hands-on familiarity with LaunchDarkly, AWS (IAM, networking basics, common managed services), and Datadog (logs/metrics/traces, dashboards, alert hygiene) (nice to have)
- Exposure to punchout/eProcurement (cXML/OCI) data flows and internal/vendor coordination (nice to have)
- SFDC reporting (reports/dashboards) and Slack analytics or approved connectors to operationalize CSM insights (nice to have)
- SQL for ad-hoc validation; light scripting (Python/JS) for automation (nice to have)
- Willing and able to come into our downtown Toronto office 3 days per week (per application form)