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Lead discovery with enterprise customers to design and deploy agentic AI solutions. Define architectures, integration blueprints, workflows, guardrails, and analytics. Own integration design, validate behavior with QA, guide deployments, train stakeholders, and drive reusable templates and continuous improvement across cross-functional teams.

Design, optimize, test, and benchmark prompts and agent tool descriptions to improve AI performance. Collaborate with Customer Success and Data Science, automate evaluation and testing, document prompt practices, and research new NLP and model-specific prompting strategies.

As a Senior Data Analyst, you will analyze large datasets to support machine learning models, optimize AI implementations, and drive performance improvements. Responsibilities include data analysis, client onboarding, and working with cross-functional teams to enhance AI solutions.

Own technical architecture and post-sales success for large, multi-brand enterprise accounts using agentic LLM systems. Design integrations, guardrails, observability, and expansion roadmaps across channels (chat, email, voice, SMS). Drive technical adoption, mentor architects, certify partner delivery, run technical reviews, and translate field learnings into product and prescriptive playbooks.

Lead architecture and quality for enterprise agentic AI deployments across channels and accounts. Define integration, governance, observability, evaluation, and expansion roadmaps. Act as senior technical advisor to customers and partners, translate field evidence into product input, lead escalations, and create prescriptive playbooks and standards for the Customer Architect function.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

Build and maintain frontend UI modules for an analytics-focused team: translate designs into reusable components, own build/test systems, integrate with backend/Data Science/DevOps APIs, and optimize for performance and scalability.

Conduct formative and validation UX research for an enterprise agentic AI platform: recruit customers, run interviews and usability tests, synthesize findings, build repeatable research practices, and influence product and design decisions.

Lead end-to-end product design for foundational platform initiatives, especially a control tower for designing, governing, and monitoring AI agents. Drive PLG design (self-serve onboarding, in-product education), establish design systems and patterns, work directly with enterprise customers, and partner closely with Product, Engineering, and Customer teams to ship polished, scalable UX.

Partner with US business leaders to design and execute people strategies. Advise on org design, workforce planning, employee relations, performance and talent management, engagement, change management, and HR compliance. Drive data-informed decisions, coach managers, support scaling and integration of teams, and ensure consistent, compliant HR practices across the US organization.