Solution Consultant

Solution Consultant About Klarity Klarity (YC S18) is the Enterprise Instinct platform. TL;DR: Series B, $91M raised, 7x growth last year. Enterprises still rely on consultants to figure out how they operate – months of work, millions spent, and outdated before the ink dries. We built a better way. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks, replacing a 2-year engagement. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. Speed and quality aren't a tradeoff here – they're the standard. What You’ll Do - Partner with account executives to run technical discovery, deeply understand prospect pain points, and translate them into tailored Klarity solutions that map directly to business outcomes - Own the technical win in enterprise sales cycles — from initial qualification and success criteria scoping through proof-of-value execution, ensuring Klarity is positioned to win in competitive evaluations - Build and deliver compelling, customized product demonstrations that bring Klarity’s AI capabilities to life for different audiences — from C-suite business-value narratives to hands-on technical deep dives with IT and operations teams - Design and execute proof-of-value (POV) engagements that let prospects experience Klarity on their own processes and data, establishing clear success criteria and delivering measurable results - Handle technical objections and competitive positioning throughout the sales cycle, articulating Klarity’s differentiation against incumbents, consulting-led approaches, and build-vs-buy alternatives - Develop and refine reusable sales assets — demo environments, technical one-pagers, ROI frameworks, and competitive battle cards — that scale the pre-sales motion beyond one-to-one engagement - Serve as a feedback conduit between the field and Product/Engineering, synthesizing prospect patterns, feature requests, and competitive intelligence into actionable insights that shape our roadmap - Travel to customer sites for workshops, technical deep dives, and relationship building — presence at critical deal moments is essential to success - Maintain strong knowledge of the latest developments in AI capabilities, LLM implementation patterns, and process intelligence methodologies You May Be a Good Fit If You… - Have 5+ years of experience in pre-sales or sales engineering roles such as Solutions Consultant, Sales Engineer, Solutions Engineer, or Pre-Sales Architect — with a track record of directly contributing to closed-won revenue in enterprise sales cycles - Have a proven ability to run technical discovery that uncovers real business pain, not just feature requirements — you ask the questions that reframe how prospects think about their problem - Are a world-class demo artist — you can build and deliver product demonstrations that are tailored, compelling, and feel effortless, whether for a room of five or an audience of five hundred - Have experience navigating complex enterprise buying cycles involving multiple stakeholders across IT, operations, procurement, and executive leadership — and know how to build consensus across all of them - Possess exceptional ability to communicate technical concepts to non-technical audiences — C-suite executives, line-of-business owners, and operations leaders who care about outcomes, not architecture diagrams - Have designed and delivered proof-of-value or proof-of-concept engagements with clear success criteria and measurable outcomes that directly influenced deal closure - Are comfortable with technical concepts around AI, LLMs, and data pipelines — enough to speak credibly with enterprise IT t ... (truncated, view full listing at source)