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Design and build core LLM platform primitives, safety and observability infrastructure, provider abstraction and evaluation systems, prompt lifecycle and Agent-as-a-Service; collaborate with product teams, document reference implementations, and lead technical standards to enable other engineers to build production AI features.

As Director of B2B Product, you will define the agency strategy and drive customer-focused product innovation in the Home Care sector, aligning with company goals and collaborating with cross-functional teams.

The Staff DevOps Engineer will focus on Site Reliability Engineering and work on security practices, vulnerability management, and integrating security into CI/CD processes to ensure robust security across the platform.

Lead the product strategy and roadmap for organic and AI-mediated discovery, translating SEO and AI platform shifts into product decisions. Build measurement, PLG loops, and trust signals for YMYL content, partner cross-functionally, and launch new distribution surfaces to drive qualified organic acquisition.

Lead end-to-end product design for provider-facing workflows, partnering with product, engineering, research, and business stakeholders. Translate complex marketplace and operational requirements into intuitive provider tools, raise design system quality, mentor other designers, and experiment with AI-assisted workflows to accelerate prototyping and decision-making while maintaining trust, accessibility, and product outcomes.

Senior, product-embedded researcher who leads generative and evaluative studies across Consumer and Provider experiences. Owns research planning, interviews, usability tests, surveys, diary studies, synthesis, and decision-oriented artifacts. Partners with cross-functional teams to connect qualitative insight with analytics, identify cross-squad patterns and risks, and scale repeatable research practices. Experiments responsibly with AI tools to accelerate research while protecting privacy and maintaining rigor.

Lead end-to-end product design for Consumer Experience across APFM properties; translate complex senior-care decisions into intuitive workflows; partner cross-functionally to define problems, success metrics, and scope; raise design quality and shared patterns; mentor designers; and experiment with AI-assisted workflows to increase design velocity and evidence-based outcomes.