Discover and translate customer strategic priorities and problem statements into high-impact use cases leveraging Taktile during sales and throughout customer lifecycle.
Build demos, support sales and customers in building business cases, and design and scope proof-of-value projects to demonstrate value quickly.
Collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform.
Lead proof-of-value projects and communicate the value opportunity and implementation roadmap to senior stakeholders up to C-level.
Onboard and work with customers' teams (domain experts, product, engineering, data science) to solve real-world problems.
Write and test Python code as part of onboarding and solution implementation.
Work with product management to translate customer problems into product insights to shape the product roadmap.
Create reusable collateral, best practices and tools to scale knowledge across the solution engineering function.
Lead discovery for new use cases and implement them on the platform to assess product-solution fit and share results with go-to-market functions.
Requirements
A few years of experience working with Python and customers.
Ability to build strong customer relationships with stakeholders across seniority levels, including technical (Principal Engineers, Data Scientists) and business (Risk Managers, Credit Analysts).
Curious and customer-centric mindset; enjoy learning customer businesses and solving challenges.
Ability to plan and manage project scope, expectations and timelines; manage multiple concurrent projects.
Humble with growth mindset and willingness to learn new skills and methodologies.
Collaborative working style with Marketing, Sales, Product, Engineering and Customer Success teams.
Creative and proactive in engaging customers and prospects.
Excellent written and spoken English.
Proficient and diligent in writing and testing Python code.
General understanding of REST APIs (design, integration, authentication).
Experience applying and optimizing statistical and machine learning models.
Familiarity with data & analytics tech stack and workflow automation platforms.
Domain expertise in financial services (banking, insurance, capital markets, payments) preferred.
At least 3-5 years experience in Enterprise/"high touch" Solution Engineering, technical Customer Success/Engineer, or Senior Consultant (ideal, but not required).