Senior Solution Engineer, Taktile

• We are looking for a Solution Engineer with a strong data science / machine learning background to join our Customer Success team on the journey of onboarding our customers and helping them to get value from Taktile fast!
• If you’re passionate about state-of-the-art tech products, and bring a few years of hands-on experience of applying machine learning models in production to solve real business problems, you’ll thrive in this role
• Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you’ll love this job!
• You excel at building strong relationships with stakeholders of varying seniority—both technical (e.g., Principal Engineers, Data Scientists) and business-oriented (e.g., Risk Managers, Credit Analysts). You thrive in customer-facing scenarios, proactively seeking innovative ways to engage customers and deliver exceptional value in a competitive landscape
• You have a genuine interest in understanding our customers' businesses and enjoy helping them overcome their challenges
• You’re a solution-oriented professional who can dive deep into technical discussions yet translate complex concepts for broader audiences
• You are an expert in end-to-end data science solution delivery, including requirements gathering, data exploration, modeling, and deployment
• You bring experience deploying machine learning models in production, understanding the operational demands of maintaining these systems at scale
• You possess solid knowledge of REST APIs, including design, integration, and authentication, and have experience with at least one major cloud platform (AWS, Azure, or GCP)
• You embody a continuous learning mindset, staying up to date on best practices while readily adapting new skills and methodologies
• You work effectively with cross-functional teams—Sales, Solution Engineering, Product, Engineering, Customer Success—fostering a spirit of collaboration
• You have outstanding written and spoken English skills, enabling you to convey complex ideas clearly and persuasively
• You’re adept at planning and managing project scope, setting expectations and timelines to ensure efficient solution delivery
• You maintain a humble, growth-oriented attitude, always seeking feedback and integrating the latest advancements in data science and machine learning

Desirable

• Collaborate with customer teams (including domain experts, product managers, engineers, data scientists, and data engineers) to train, test, and deploy machine learning models tailored to financial services use cases
• Lead the delivery of bespoke data science solutions, encompassing requirements gathering, data exploration, feature engineering, modeling, deployment, and handover to customer teams in both pilot projects and full implementations
• Onboard and support diverse customer teams in solving real-world problems, ensuring a seamless experience and fast time-to-value on the Taktile platform
• Work closely with the product team to develop and refine ML modules—such as off-the-shelf AML and fraud models—ensuring seamless integration and robust functionality
• Collaborate with product management to translate insights from customer interactions into actionable improvements for Taktile’s offerings