Lead Solutions Engineer

Taktile empowers financial institutions to transform into truly AI-native organizations. As a Lead Solutions Engineer focused on enterprise pre-sales, you are the technical bridge between our enterprise prospects and our AI-powered decisioning platform. You will partner with the Sales Team to architect AI-driven solutions for the world's most innovative financial institutions.

Responsibilities

Scale the impact of the Solutions function by creating reusable collateral, establishing solution patterns, and mentoring others; Discover and translate customer's strategic priorities and problem statements into high impact Agentic AI use cases leveraging Taktile; 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; Collaborate with partners and customers to design and build solutions in Taktile's Agentic Decisioning Platform; Lead proof-of-value projects and communicate the value opportunity of a full implementation and 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; Lead discovery for new use cases and implement them on the platform to assess product-solution fit and provide feedback to the product team

Requirements

Passionate about cutting-edge technology and up to date on latest AI developments; Hands-on experience with Python, APIs, and modern AI models in customer-facing environments; Ability to navigate complex Enterprise organizations with stakeholders across different seniority levels; 3+ years of hands-on experience writing production Python code; Curious and customer-centric; Ability to plan and manage technical scope of Proof of Concepts (POCs) and technical evaluations; Humble with a growth mindset; Collaborative with peers in Marketing, Sales, Product, Engineering and Customer Success; Proven track record of supporting high-contract-value enterprise deals

Nice to have

Experience operating in a technical leadership role; At least 5-7 years of experience working within Enterprise Solution/Sales Engineering in B2B SaaS or in a senior technical consulting role; Deep expertise with enterprise-level infrastructure and architecture, including extensive understanding of APIs; 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 technical stakeholders such as a CTO and domain experts such as Credit Risk Managers; Domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.)

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; Receive a top-of-market equity and cash compensation package; Get access to a self-development budget for conferences, books, or classes; Use the equipment of your choice including meaningful home office set-up