InRule

• Lead technical discovery to uncover customer pain points, current-state processes, integration needs, and success criteria • Design and deliver tailored product demonstrations that connect InRule capabilities to customer use cases and business outcomes • Serve as a technical advisor during the sales process, including architecture discussions, security conversations, and technical validation • Own or support proof-of-concept and pilot engagements, including scope definition, solution design, and successful execution • Respond to technical questions in sales cycles, RFIs/RFPs, and customer evaluations • Partner with Account Executives on account strategy, deal progression, and competitive positioning • Collaborate with Product, Engineering, Customer Success, and Marketing to relay field feedback and improve enablement materials

• Drive new bookings • Build the integrations and automated workflows that move prospects through the funnel. • Remove friction from the buyer journey, first touch to close. • Build outbound that scales without losing the personal feel: enriched sequences, intent-triggered touchpoints, and AI-assisted personalization that makes every message feel relevant. • Build scoring and signal workflows that surface the right opportunities at the right time and write that context back to Salesforce, so reps know what to prioritize before they open their CRM. • Give CS and account-management reps time back by automating the manual work that eats their capacity: renewal notifications, health-score updates, expansion triggers, follow-up sequences, customer-facing status reports. • Smooth the post-sale journey. • Build workflows that help reps close faster: demo decks generated from call recordings, deal-room automation, and follow-up assets assembled on the fly. • Keep systems in sync and automated decisions grounded in clean data — and know where human judgment belongs in the loop. • Own what you build. Ship work that’s maintainable, documented, and designed to scale. Run tight experiments: ship, measure, adjust. Document what works so the team builds on wins rather than repeating mistakes. • Design security, access, and governance in from the start, scoping permissions correctly with IT so projects move fast and ship clean.

• 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 • 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 • Partner with peers to develop InRule's data product strategy and execution

• 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).