InRule

• Own the strategy and execution for InRule's AI, data, and integration positioning • Map and continuously monitor the AI market ecosystem • Translate market signals into a validated, defensible InRule position in the agentic AI landscape • Contribute to emerging technology readiness assessments and executive-level strategic narratives that maximize InRule's enterprise value • Originate product requirements that identify opportunities, set goals, and define success metrics • Own the end-to-end strategy, go-to-market positioning and execution roadmap for InRule's AI, agent and MCP initiatives

• Define and evolve the strategy for InRule’s core systems including runtime, storage, APIs, integrations, governance, and deployment models. • Translate ODI research into durable product capabilities that measurably improve outcomes for developers and the Product Lifecycle Support Team (IT). • Drive the evolution of SaaS and self-hosted container delivery, including regional hosting and environment management. • Establish clear migration frameworks that allow customers to move from legacy onpremise deployments to modern architectures safely and predictably. • Unify core infrastructure and capabilities across acquired products into a coherent platform foundation. • Own API and SDK strategy to maximize extensibility, partner enablement, and AI integration readiness. • Improve telemetry, usage instrumentation, and operational visibility to support enterprise governance and consumption-aligned pricing models. • Partner with the AI and Data Product Manager to ensure runtime, integration, and delivery capabilities support AI-driven product evolution. • Identify and prioritize platform investments that increase internal engineering velocity and reduce architectural fragmentation.

• Own the product roadmap for modernizing long-standing products with a primary focus on improving usability and the use of AI by non-technical end users across their journey, from onboarding to day-to-day use. • Lead discovery to identify where complexity exists today, why it exists, and which capabilities can be simplified, redesigned, or removed. • Ensure modernization efforts measurably improve product efficacy, including usability, reliability, performance, security, data sovereignty, and cost-to-serve. • Partner with Product Design to deliver high-clarity experiences for complex workflows. • Support market understanding through user research, win/loss analysis, and competitive analysis.

• Create go-to-market programs that align with quantified opportunities in the market to grow pipeline • Collaborate on programs that enable delivery teams to speed time to value, increase CSAT and NPS, and create a seamless total product experience • Create a modular, built-for-scale messaging system used to create sales enablement materials, case studies, presentations, blogs, whitepapers, webinars, guides, and videos • Partner with demand-gen teams to create campaigns and nurture programs

• Provide advanced technical support to enterprise customers, resolving complex issues across application, configuration, and infrastructure layers. • Lead customer escalations with clear ownership, structured communication, and coordinated execution across internal teams. • Troubleshoot application behavior using logs, stack traces, performance metrics, and configuration analysis. • Analyze monitoring and infrastructure signals using tools such as Sumo Logic (or comparable log management platforms). • Own and enforce the premium severity framework (Sev1/Sev2/Sev3), ensuring consistent application and preventing severity inflation. • Operate and continuously refine the pager-backed Sev1 process, including acknowledgement, triage, escalation paths, communication cadence, mitigation, resolution, and post-incident follow-up. • Support and optimize case management workflows within Salesforce Service Cloud, including: Queues and routing rules Macros and templates Milestones and SLAs Knowledge management Reporting and dashboards.

• Serve as a primary administrator for Salesforce, supporting Sales Cloud, Service Cloud, and Experience Cloud. • Design, build, and maintain automation using Salesforce Flow, validation rules, and scalable configuration best practices. • Support advanced customization needs where applicable (Apex is a bonus, but not required). • Partner closely with Marketing, Sales, Customer Experience, and leadership to understand business objectives and translate them into scalable operational solutions. • Act as a discovery-driven problem solver: gather requirements, challenge assumptions, and design solutions that drive measurable outcomes (not just ticket fulfillment). • Own and improve GTM systems integrations and workflows across the revenue tech stack (Salesforce, HubSpot, support tools, scheduling tools, enrichment platforms, etc.). • Maintain strong data governance across pipeline, activity, forecasting, lifecycle, and customer reporting to ensure trust in business decision-making. • Build and maintain dashboards and reporting outputs for leadership using Power BI or comparable BI tools. • Identify trends in revenue data and proactively generate insights (pipeline health, stage conversion, funnel bottlenecks, adoption drop-off, churn risk indicators). • Improve frontline productivity by designing systems that reduce manual CRM burden and increase automation of data capture wherever possible. • Build processes and workflows with a strong bias toward scalability, consistency, and long-term maintainability. • Aggressively reduce or prevent tech debt by avoiding brittle solutions and designing with future growth in mind. • Drive adoption by anticipating friction points and creating workflows that align with how teams actually operate (not how we wish they operated).