Senior Solutions Engineer

About the role

Taktile is transforming how financial institutions leverage AI for critical decisions. We're growing rapidly with enterprise customers across financial services, and we're looking for a Senior Solution Engineer to join our pre-sales team and help demonstrate the power of AI-driven decision-making to the world's leading financial institutions.

Responsibilities

• Partner with the Sales Team to architect AI-driven solutions for the world's most innovative financial institutions.
• Secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges.
• Help customers achieve their strategic goals and realize value by using Taktile in their decisioning tech stack.
• Discover and translate customer's strategic priorities and problem statements into high impact Agentic AI use cases leveraging Taktile during the sales process and throughout the Enterprise sales cycle, focusing on uncovering high-value AI use cases that justify significant investment and strategic partnership.
• Lead the design and execution of proof-of-value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI.
• Build technical prototypes and demos leveraging the Taktile platform that simulate production-grade integrations and workflows.
• Collaborate with partners and customers to design and build solutions in Taktile's Agentic Decisioning Platform.
• Lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives.
• Work with product management to share competitive intelligence and prospect insights gathered during the sales process, helping shape Taktile's AI product roadmap and positioning strategy.
• Create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function.
• Lead the discovery for new use cases and implement them on the platform to assess product-solution fit.
• Provide feedback to our product team and share results of your discovery with go to market functions.

Requirements

• Excel at navigating complex Enterprise organizations with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts).
• Have 3+ years of hands-on experience writing production Python code.
• Be curious and customer-centric. Enjoy learning about our customers' and prospects' businesses and helping them solve challenges.
• Able to plan and manage the technical scope of Proof of Concepts (POCs) and technical evaluations.
• Be able to manage multiple high-stakes prospects simultaneously while partnering with Sales to drive deals to close.
• Be humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business.
• Be collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team.
• Have a proven track record of supporting high-contract-value enterprise deals.
• Understand that winning an enterprise deal requires more than just good code—it requires strategic positioning, deep discovery, and the ability to handle complex technical objections.
• Be open to a hybrid work model and can work from our NYC office at least three days per week.

Qualifications

• General understanding of REST APIs (design, integration, authentication)
• Experience building, tuning, or deploying ML models (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow) in production settings
• Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting)
• Comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers
• Acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.)

Skills

• Technical expertise

Benefits

• Work with colleagues that lift you up, challenge you, celebrate you and help you grow.
• Make an impact and meaningfully shape an early-stage company.
• Experience a truly flat hierarchy and communicate directly with founding team members.
• Learn from experienced mentors and achieve tremendous personal and professional growth.
• Get to know and leverage our network of leading tech investors and advisors around the globe.
• Receive a top-of-market equity and cash compensation package.
• Use the equipment of your choice including meaningful home office set-up.

Pay

• Competitive salary and benefits package.

Schedule

• Hybrid work model with at least 3 days per week in the NYC office.