MindBridge

Solutions Engineer

• Engage, as part of the extended sales team, to achieve and exceed revenue targets.
• Drive sales with technical accounting, finance, and business process expertise, prospect management skills, sales ability, and exceptional customer focus.
• Solve prospect objections and challenges through the design and execution of MindBridge demonstrations.
• Build and deliver proof of concept demonstrations within the MindBridge sales process.
• Bring strong consulting and strategy experience to the MindBridge team through critical thinking and complex solution design.
• Strong project management skills with the ability to work on multiple opportunities simultaneously.
• Present the MindBridge value proposition to prospects and partners in a relevant and compelling manner.
• Assist in the onboarding and training of new hires joining with the Sales Organization.
• Be prepared and able to travel and present at customer sites, conferences, and relevant industry events.
• Create a culture of success, collaboration, and ongoing business goal achievement team.
• Ensure client engagement strategies are aligned with the mission, values, and culture of MindBridge and that they result in employee development and revenue growth.

Solutions Consultant

Customer Success Manager

• Driving Value - Renewals and expansions happen for one reason: the customer recognizes the unique value we deliver and expects to continue receiving it in the future. You will own this.
• Customer SME - You will be the product expert for your book of business—training users, advising customers on best practices, and introducing new features and capabilities.
• Customer Health - You will continuously assess risk across multiple vectors and develop comprehensive success plans to mitigate such risks. Examples of risks include lack of acknowledged value, loss of champions, low usage, competitive threats, M&A activity, and more.
• Customer Journey – You will partner with the Implementation team to ensure effective hand-offs and provide ongoing support. You will collaborate cross-functionally across the organization to deliver an exceptional customer experience throughout the entire customer journey.
• CS Metrics – You will leverage data and key CS metrics to drive strategic conversations, including GRR, NRR, NPS, and Time to Value.
• Product Feedback - You will serve as the voice of the customer, relaying product feedback and feature requests to the product development team. Your insights are essential to ensuring we build solutions that address real customer needs, solve their challenges, and help them succeed.
• Renewal and Expansion - You will partner with our sales organization to identify expansion opportunities and play a key role in making renewals an easy decision for our customers. For select accounts, you will own the end-to-end renewal process.
• Project Ownership - You will own and drive Customer Success initiatives as we grow and scale. We’re a small team, which means we have the unique opportunity to build the tools and processes we use. Leading operational projects is not only a great way to contribute, but also a valuable opportunity to learn and develop the systems, skills, and foundations that benefit the entire team.

Data Scientist

• MindBridge is a global leader in AI-powered financial risk intelligence, analyzing billions of financial transactions
• Role: Applied Data Scientist on a centralized Data Science team blending technical modelling with client-facing consulting
• Rotate between client delivery projects, innovation sprints, and core research to apply cutting-edge data science to real-world finance problems
• Client delivery: engage with clients, translate business challenges into data science problems, and present insights to technical and non-technical audiences
• Applied data science: develop ML models, statistical analyses, advanced data workflows, and adapt novel algorithms for practical use cases
• Validate and iterate solutions for robustness, scalability, and measurable business impact
• Collaboration: contribute to knowledge sharing, mentorship, workshops, and support innovation agenda by testing new AI/ML techniques