Jobs at Responsiv

Lead Responsiv’s product vision, roadmap, design quality, and AI-driven evaluation strategy. Partner with AI Engineering and Regulatory Data to define outcomes, improve product quality against truth sets, and deliver an intuitive regulatory compliance platform. Build and lead the product organization while coordinating with engineering, sales, marketing, customer success, and regulatory experts to drive execution, adoption, and commercial impact.

Drive net-new enterprise sales for Responsiv’s regulatory change management platform, targeting financial institutions and other regulated industries. Build executive relationships, develop pipelines, manage complex multi-threaded sales cycles, lead RFPs and proofs of concept, and close transactions exceeding $100,000 annually. The role requires deep financial-services networks, strong compliance expertise, consultative selling, competitive positioning, and consistent achievement of sales and ARR targets.

Own strategic customer implementations from pre-sale discovery through configuration, launch, adoption, and value realization. Lead workflow design, regulatory foundation and obligation-register refinement, stakeholder alignment, governance, and operating processes for regulated organizations. Partner with Sales, Product, Design, and Engineering to create solution designs, demonstrations, proof-of-value plans, and product improvements. Support RFPs and translate regulatory, legal, compliance, and risk requirements into actionable customer workflows.

Build and operate scalable data pipelines, evaluation frameworks, and production AI/ML/NLP models. Own the full lifecycle from data collection and transformation through training, deployment, monitoring, and continuous improvement. Develop robust tooling, observability, and quality checks while collaborating with product and engineering to integrate AI capabilities into user-facing features. Work pragmatically in a fast-moving startup environment and translate business needs into effective data and machine learning solutions.

Develop end-to-end features across frontend and backend using C#, React, and Python. Integrate LLMs and ML models, deploy and manage applications on Azure, collaborate with data scientists, ensure scalability, performance, and rapid iteration in a startup environment.