A workflow tool that helps product support teams design, deploy, and iterate AI-powered automations for customer support and internal specialist efficiency.
Added May 29, 2026
Product support teams face repetitive customer issues, manual lifecycle tasks, reporting work, and reliability gaps that reduce specialist efficiency. As AI systems enter support workflows, teams also need a practical way to encode documented heuristics and design principles into consistent support behavior.
The product provides a workbench for building AI support workflows connected to APIs?, Git-based change tracking, reporting, drift detection, and remediation tasks. Support leaders can define heuristics, review automation performance, and safely iterate on self-service and specialist-assist workflows.
Companies are actively hiring for AI-powered support solutions, automation engineering, and AI design heuristics, indicating a shift from generic support tooling toward governed AI operations inside product support teams.
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Build internal tools that scale Support. Design and ship the systems that Support Engineers and Support Reps rely on daily — AI drafting tools, autonomous reply systems, workflow automation, reporting dashboards, and anything else that removes friction from the support operation.
Provide deep technical support for releases, incident response, and major system upgrades Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.
Support the design, configuration, and maintenance of internal AI-powered tools and workflows used across the Professional Services team, including agent setups, prompts, and automation tools.
Collaborate with product and cross-functional teams to transform static workflow designs into dynamic, interactive workflows that efficiently resolve issues for millions of users, empowering both customers and support agents.
Build and refine support workflows, macros, and escalation paths so the team can handle rising volume without a drop in quality Partner with Engineering, Fulfillment, and Product teams to close feedback loops between what talent is experiencing and what gets built or changed
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