jobs.pl/Stellenangebote/Verkauf/Senior Solutions Engineer
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Senior Solutions Engineer

Vollzeit Hybride Arbeit

Veröffentlichungsdatum: 30.08.2026

Taktile empowers financial institutions to transform into truly AI-native organizations. We are looking for a Senior Solutions Engineer in our NYC headquarters. As a Senior 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. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges.

Responsibilities

Secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges; 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; Lead the design and execution of proof-of-value projects combining 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 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; Create re-usable 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; Provide feedback to product team and share results of discovery with go-to-market functions.

Requirements

Navigate complex Enterprise organizations with stakeholders across different levels of seniority, including technical stakeholders (e.g. Principal Engineers, Data Scientists) and business stakeholders (e.g. Risk Managers, Credit Analysts); 3+ years of hands-on experience writing production Python code; Curious and customer-centric, enjoying learning about 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; Manage multiple high-stakes prospects simultaneously while partnering with Sales to drive deals to close; Humble with a growth mindset and willingness to learn new skills and methodologies; Collaborative and works well with peers in Marketing, Sales, Product, Engineering and Customer Success; Proven track record of supporting high-contract-value enterprise deals; Open to a hybrid work model and can work from the NYC office at least three days per week.

Nice to have

At least 3-5 years of experience within Enterprise Solution/Sales Engineering in B2B SaaS, or in a senior technical consulting role; 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) is a strong plus; Comfortable explaining how a model works to both technical stakeholders and domain experts; 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 personal and professional growth; Access to a network of leading tech investors and advisors; Receive a top-of-market equity and cash compensation package; Get access to a self-development budget to attend conferences, buy books or take classes; Use the equipment of your choice including meaningful home office set-up.
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