Sr. Solutions Engineer

As a member of our Support and Professional Services Engineering team, you’ll be responsible for partnering up with the Sales Team to win deals and acquire new customers. Along this exciting journey you’ll be involved early in the process, forming relationships with key stakeholders and decision makers to understand their motivations for Check Processing Applications (Mitek Check Intelligence, Mobile Deposit, Check Fraud Defender, MiControl) and pain points in their current process. Educating, positioning, and creative solution selling on how Mitek will solve their pain will be your task at hand. As you conclude the evaluation and secure the technical win, you’ll work with others in the Go-To-Market Team to prepare the customer for onboarding. Along with Pre-sales efforts you will support customers and provide Professional Services to them. We are a global organization working mainly in the North and Latin American headquarters for our sales, marketing and technical support and maintenance teams. Our products are released for more than 40 different locales, including the USA, Canada, Mexico, Colombia, Ecuador, Chile, Brazil, Honduras, Argentina, Uruguay, Guatemala, Paraguay.

• Become an expert with Mitek’s product suite at a precise technical level
• Educate customers on Mitek product offerings, integration techniques, and best practices
• Confidently deliver effective presentations and demos tailored to a solution-based selling strategy
• Contribute and coordinate RFIs and RFPs with quality responses
• Lead discussions related to technical requirements, potential use cases, and success criteria
• Understand the customer’s pain points to effectively apply solution selling
• Ensure that product evaluations (POCs) and pilots will have a high chance of success
• Collaborate with internal/external teams to develop robust system solutions
• Accurately scope out and communicate the project requirements and implementation efforts to the customer and to others on the Go-To-Market Team
• Support and assist customer with hands-on end-to-end troubleshooting when issues arise
• Capture and provide valuable customer feedback for product improvementsParticipate in internal technical testing of new products to assist the Product Team with feedback about performance
• Commnucate with Development team to laverage the knowledge of the models (algorithms, neural networks, ML) to provide support for Model Risk Management

• Self-starter with an entrepreneurial, strategic open mindset
• Thrives in a fast-paced team-focused culture and adapts to a changing environment
• Remains highly organized in a fast-paced dynamic environment
• Logical and creative in problem-solving
• Decisive mindset with ability to thoroughly analyze a customer's portfolio and business use case and decide if they will be successful with our product, and a right fit for our partnership
• Excellent interpersonal and relationship management skills
• Excellent project management skills – demonstrated planning, organization, and facilitation, paired with a strong attention to detail and schedule awareness; skilled at prioritization and multitasking
• Strong communicator, in written, oral, and in-person formats, with the ability to share and communicate ideas to people at various levels within customer organizations in a clear and concise manner
• Able to write in explanatory and procedural styles for multiple audiences
• Ability to manage and influence others (both within and outside your own direct work-group)
• Ability to summarize complex issues simply and effectively

• At least 5+ years of relevant experience in similar role,solutions engineer
• Excellent customer presentation skills, able to adapt to executive, business and technical audiences
• Ability to work as a team player and work well with others
• Working knowledge of programming languages (C#, Java)

• Experience with technical selling in the financial services domain
• Experience with the domain of risk and fraud management in Financial Industry
• Knowledge of Linux operating systems and distributions
• Working knowledge of programming languages (C/C++, Python, GoLang)
• Familiar with SaaS, web-based and enterprise application architectures, including infosec issues
• Knowledge of client-server, server-server architecture, communication protocols, and security experience
• Knowing Machine learning and Artificial Intelligence algorithms and the different architectures of the Neural Network