InRule

Sales Engineer

• 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

Product Operations

• 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

Product Manager – AI Systems

Full-stack Engineer

• 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.

Sales Engineer

Product Manager – AI Systems

GTM Engineer