4 дня назад
Senior Sales Engineer (AI/Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Sales Engineer (AI/Data): Translating customer technical requirements into Precisely solutions and delivering custom demonstrations, workshops, proofs of concept, and pilot projects across modern cloud and data environments with an accent on AI-driven initiatives, cloud modernization, and data strategy. Focus on building scalable solutions with Databricks, Snowflake, AWS, Azure, GCP, APIs, SDKs, MCP Servers, and Generative AI while influencing technical stakeholders and supporting complex sales cycles.
Location: 100% remote anywhere in the United States; approximately 30% travel required.
Company
develops data quality, data enrichment, location intelligence, and data integrity software, with an AI-first approach to product development and customer solutions.
What you will do
- Support the full sales process by discovering customer needs, identifying pain points, and translating technical requirements into solutions.
- Deliver custom demonstrations, workshops, proofs of concept, pilot projects, and assisted trials.
- Build custom solutions across Databricks, Snowflake, AWS, Azure, and GCP using APIs, SDKs, MCPs, and Agents.
- Advise customers on cloud modernization, AI-driven initiatives, and scalable data strategies.
- Present technical and business value to technical, operational, and C-suite stakeholders.
- Represent at trade shows, conferences, and other industry events.
Requirements
- Bachelor’s degree in computer science, information technology, engineering, or a related technical field.
- 4+ years of experience in presales, product management, professional services, engineering, technical support, or technical account management.
- 4+ years of experience developing solutions with Scala, Python, Java, and Spark in environments such as Databricks.
- Experience communicating with, presenting to, and influencing technical and operational stakeholders, including C-suite executives.
- Hands-on experience with Generative AI, MCP Servers, cloud environments, cloud-native infrastructure, AWS, and EKS.
- Experience with SaaS architecture and cloud computing.
Nice to have
- Experience with data enrichment, location intelligence, data quality, data governance, data integration, or MDM solutions.
Culture & Benefits
- AI-first environment focused on data integrity and solving complex customer problems.
- Opportunities to influence product design and positioning.
- Employee career development and support for internal career opportunities.
- Remote work arrangement within the United States.
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