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Senior Solution Consultant (Sales Engineer)

The Hire Revolution

Our client is looking for a high-energy, driven Senior Solution Consultant who is a strategic technical advisor who bridges customer challenges with transformative solutions. The role is NYC based. 3 days a week in the office About the Company The company is building the next generation of data and AI infrastructure, helping companies turn the open web into a reliable, real-time source of intelligence. Their platform combines AI-powered data structuring with dynamic delivery, enabling teams to power AI agents, analytics, and smarter decision‑making at scale. Backed by top‑tier investors and trusted by leading global brands, they’re growing quickly and operating in true build mode. This is a company tackling real problems, shaping a new category, and moving with serious momentum. About the Role: The Solution Consultant is a strategic technical advisor who bridges customer challenges with transformative solutions. You'll combine technical expertise in APIs, Python, and web data with exceptional business acumen to position Nimble as essential for AI‑driven enterprises. Working across the customer lifecycle, from pre‑sales discovery through POCs, you'll architect tailored solutions and drive measurable outcomes. This role reports to the Director of Solution Consulting. What You’ll be Doing: Lead consultative discovery sessions to understand customer business challenges, technical architecture, and strategic objectives Architect and present custom solutions that translate technical concepts into business value for stakeholders from C‑suite to engineers Execute compelling technical demonstrations and POCs through live API integrations, Python workflows, and data pipeline demonstrations Serve as strategic trusted technical advisor and business partner throughout the sales cycle, providing guidance on architecture and integration approaches Collaborate cross‑functionally with Sales, Product, Engineering, Marketing to translate customer use cases into technical stories, demos, and content Drive adoption and expansion by identifying new use cases and partnering with Customer Success Own and deliver custom proposals, solution decks, and architectural presentations tailored to stakeholder needs Develop reusable technical assets , demo environments, and best practices that enable the broader sales organization Lead white‑boarding sessions and solution design workshops that establish technical consensus and de‑risk implementation across stakeholder groups What You Bring 4+ years pre‑sales or solutions consulting with technical SaaS products, preferably in data, analytics, API platforms, or developer tools. Working knowledge of Python with ability to read, modify, and run scripts Strong understanding of API technologies including RESTful APIs, authentication, rate limiting, and error handling Experience with data ecosystems including databases, data warehouses, and BI tools Proven consultative selling and solution‑oriented approach. Ask insightful discovery questions that uncover true business needs. Exceptional communication and presentation skills. Tailor technical concepts for different audiences, from C‑level executives to implementation engineers. Strong analytical and problem‑solving abilities. Quickly understand complex technical environments and design elegant solutions. Self‑starter comfortable with ambiguity and rapid change in fast‑paced startup environment Demonstrated expertise in enterprise sales methodologies (MEDDIC, MEDDICC, Challenger, or similar qualification frameworks) Proven consultative selling approach , ask insightful discovery questions that uncover true business needs and quantifiable impact Bonus Points Background in AI/ML applications, LLM integration, or AI‑powered products Experience in data‑intensive industries (e-commerce, retail analytics, competitive intelligence, market research) Experience with Force Management's Command of the Message or similar value‑based selling frameworks #J-18808-Ljbffr The Hire Revolution

Vacancy posted 2 days ago
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