Solutions Engineer

2 weeks ago

City Of London, United Kingdom Clarity (formerly Anecdote) Full time

About Clarity Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting‑edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences. We are trusted by industry leaders like OpenAI, GrubHub, STC, and Tabby, and have investors such as Prosus Ventures, STV AI Fund (backed by Google), and angels from Open AI and Google. With 25% month‑on‑month growth and over 300% net revenue retention, this is a unique opportunity to join a hyper‑growth AI company and redefine an industry. Role Overview As a Solutions Engineer at Clarity, you’ll serve as the technical bridge between our customers, partners, and internal teams. You’ll work closely with Product, Design, and AI Engineering to prototype and validate new capabilities, ensuring that every Clarity deployment is technically sound and business‑aligned. Your work will shape how leading organizations adopt generative AI for customer experience — from designing integrations and demos to driving successful implementations. Responsibilities Act as the primary technical advisor for customers and partners during pre‑sales and implementation. Design and deliver proofs of concept, product demos, and solution prototypes tailored to customer needs. Partner with Sales and Product teams to identify gaps and opportunities where Clarity adds value. Lead technical integration discussions with enterprise customers, ensuring smooth deployment and scalability. Provide feedback from the field to inform product development and roadmap decisions. Conduct training sessions and workshops for customers and partners to ensure successful adoption. Collaborate on strategic account plans that drive long‑term customer success and expansion. Requirements Bachelor’s degree in Engineering, Computer Science, or related field (or equivalent experience). 5+ years’ experience in enterprise software pre‑sales, solutions engineering, or technical consulting. Strong technical communication and presentation skills — able to explain complex concepts clearly to diverse audiences. Familiarity with AI/ML concepts and modern CX ecosystems (e.g., Zendesk, Genesys, Intercom). Proven ability to manage technical proofs, integrations, and deployments with enterprise customers. Strong analytical and problem‑solving abilities; comfortable working in fast‑paced, ambiguous environments. Excellent collaboration and stakeholder management skills. Fluency in Arabic. Why Clarity Build the future of AI‑powered customer service from the ground up. Freedom to experiment, prototype, and innovate in an emerging category. Competitive compensation, equity, and benefits. Join a collaborative, mission‑driven team that values creativity, speed, and impact. #J-18808-Ljbffr

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