2 дня назад
Sales Engineer (Financial Services)
88 000 - 128 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sales Engineer (Financial Services) (Data Platforms/AI): Designing and presenting technical solutions, prototypes, and Proofs of Concept for financial services prospects and clients with an accent on solution architecture, application development, data engineering, and customer-facing technical communication. Focus on leading complex technical qualification and pilot projects, recommending migration and deployment strategies, and translating customer needs into product improvements.
Location: Boston, MA, United States; occasional regional travel is required.
Base salary: $88,000–$128,000 USD per year. Additional discretionary annual variable incentive may apply, with potential sales incentives generally ranging from 10% to 40% of base pay at target achievement.
Company
develops database, integration, and data technology platforms for healthcare, finance, manufacturing, and supply chain organizations in more than 80 countries.
What you will do
- Coordinate with account representatives, system integrators, project managers, professional services, product management, and support teams to help clients adopt and implement solutions.
- Recommend technical architectures, data models, development patterns, migration strategies, upgrade procedures, and operational best practices.
- Design, build, and present Proofs of Concept, prototypes, and paid pilot projects for prospects and partners.
- Provide technical support during beta programs, pre-launch activities, implementations, and customer training sessions.
- Prepare competitive proposals, solution overviews, sales collateral, product demonstrations, and presentations.
- Capture customer needs and coordinate with product management and development to improve product offerings.
Requirements
- 5+ years of experience as a Sales Engineer, Software Developer, or in a related role within the financial services domain.
- Experience with architecture design, technical documentation, technical qualification calls, RFx processes, and implementation oversight.
- Knowledge of object-oriented programming or enterprise application development, relational or non-relational databases, SQL or NoSQL, and data engineering with Python.
- Experience with GenAI, RAG, MCP, machine learning or generative AI use cases, modern analytics architectures, and data lakes, fabrics, or mesh.
- Familiarity with HTML, JavaScript, Angular, XML, XSLT, JSON, SOAP, REST, cloud services, containers, Kubernetes, Windows, Unix/Linux, macOS, and API management.
- Degree in Computer Science, Engineering, or a related technical field, along with excellent communication, presentation, analytical, and problem-solving skills.
Nice to have
- Experience with financial services-related organizations.
- Relevant technical certifications related to products or similar technologies.
Culture & Benefits
- Medical, vision, and dental insurance.
- Short-term and long-term disability and life insurance.
- 401(k) profit-sharing contribution.
- Paid time off, holidays, and parental leave.
- Tuition reimbursement.
- 24×7 customer and partner support environment.
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