#sejaSysMap #SysMap #soulSysMap
Sales Engineer
Location
Brazil
Posted
21 days ago
Salary
0
Seniority
Senior
Job Description
Sales Engineer
SysMap Solutions
• Technical qualification of leads: Conducts the first contact and performs in-depth lead evaluation, verifying whether the potential client has a real need, capacity, and maturity to adopt Data & AI solutions; • Needs analysis and diagnosis: Investigates and understands the client's business challenges and objectives, identifying how data- and AI-based solutions can be applied to generate value, optimize processes, or solve specific problems; • Solution design: In collaboration with the sales team, architects, and engineers, the pre-sales specialist designs a preliminary technical solution to meet the client's requirements. This may involve defining data architecture, selecting AI models, and planning integrations; • Demonstrations and presentations: Prepares and conducts customized, persuasive demonstrations that show the practical application and benefits of Data & AI solutions for the client. It is essential to translate complex technical concepts into clear language focused on business outcomes; • Proof-of-concept (PoC) creation: In some cases, the pre-sales professional may lead or assist in creating proofs of concept to validate the technical feasibility of the solution and demonstrate its potential value before engagement; • Sales support: Supports the sales team with technical information, case studies, and commercial proposals, ensuring the solution's value and features are communicated accurately and strategically; • Market and trend research: Keeps up to date with market trends, innovations in Data & AI, and competitor solutions to ensure the company's offering remains competitive and relevant.
Job Requirements
- Cloud and data technical skills:
- Strong knowledge of cloud platforms (AWS, GCP, Azure);
- Proficiency in data technologies such as Snowflake, Databricks, and DBT;
- Experience building and architecting data solutions (Data Lakes, Data Warehouses, data pipelines).
- Engineering and architecture experience:
- Proven track record as a data engineer or data architect, with experience on complex, large-scale projects;
- Familiarity with DataOps best practices, security, and performance optimization.
- Consultative orientation:
- Ability to collaborate with clients to define and prioritize use cases that deliver business value;
- Skill in translating technology into business benefits and demonstrating return on investment (ROI).
- AI knowledge:
- Understanding of concepts, frameworks, and applications of Artificial Intelligence and Machine Learning;
- Experience applying AI solutions to solve specific client business problems.
Benefits
- Position also open to candidates with disabilities
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