Ramp11 дней назад
AI Solutions Engineer
Зарплата не указана
РЫНОК
15 000 ₽медиана по профессии
Solution Architect · 60 вакансий с указанной зарплатой
5 600половина предложений: 15 000–18 258180 000
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьУдалёнка
Обязанности
- 01Carry a revenue quota and own the progression of AI product opportunities from initial discovery through purchase
- 02Lead discovery with business and technical buyers to understand their goals, workflows, challenges, decision criteria, existing systems, and AI strategy
- 03Translate Ramp's AI applications and infrastructure into compelling solution narratives tied to measurable business outcomes
- 04Build ROI and total cost of ownership analyses that quantify the value of Ramp's AI products
- 05Help customers identify high-value use cases, set realistic expectations, and establish a credible path from evaluation to production
- 06Deliver tailored demonstrations, technical workshops, and proofs of concept with clear success criteria
- 07Build relationships with champions and decision-makers across Engineering, IT, Security, Finance, Operations, Procurement, and executive leadership
- 08Navigate questions related to APIs, integrations, model capabilities and limitations, data flows, architecture, privacy, security, governance, implementation, and tradeoffs
- 09Apply strong commercial judgment to qualify opportunities, create urgency, address objections, identify risk, and keep customers moving toward a decision
- 10Partner with Account Executives and collaborate with Product, Engineering, Security, Marketing, and post-sales teams
- 11Bring structured customer and market feedback to internal teams to improve products, positioning, sales execution, and customer experience
- 12Turn early customer conversations into repeatable messaging, demonstrations, qualification criteria, value stories, and sales plays
Требования
- 015+ years of experience in Solutions Engineering, Solutions Consulting, technical sales, Solutions Architecture, enterprise software sales, or a related customer-facing role
- 02Direct quota-carrying or deal-closing ownership of the pre-sale cycle
- 03A track record of independently influencing and winning complex B2B sales opportunities with clear revenue accountability
- 04Strong discovery and value-selling skills
- 05Ability to connect technical capabilities to measurable business outcomes
- 06Demonstrated ability to build executive-level business cases including ROI and total cost of ownership analyses
- 07Commercial instincts and comfort taking meaningful ownership of deal strategy, momentum, and results
- 08Technical fluency across modern AI systems including applications and agents, model capabilities and limitations, APIs, integrations, data flows, security, governance, and tradeoffs among quality, cost, latency, and control