Solution Consultant

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. 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. 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. We move fast, reward agency, and care deeply about our customers, our team, and our mission. 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 teams and address integration questions with confidence, even if you’re not writing production code - Display commitment and resilience with prior employers — we value loyalty and grit, and we’re not looking for candidates who jump every 18–24 months - Are AI-native, not AI-adjacent — you intuitively understand and use AI in your own daily work to sharpen your craft, not just talk about it in meetings - Have high coachability with no ego — this world is changing fast, and we need growth-mindset people willing to adapt with it - Are customer-obsessed with an entrepreneurial spirit, strong opinions, and a bias for action Strong Candidates May Also… - Have direct experience selling or pre-selling AI technology into enterprise accounts and can articulate technical differentiation against both technology competitors and consulting-led alternatives in plain language - Bring a track record of building pre-sales playbooks, demo frameworks, or POV methodologies from scratch — you’ve done the zero-to-one work, not just inherited a mature motion - Have experience working deals alongside or into…