• Own organic growth: Drive SEO and AEO/AIO performance across traffic, signups, and share of voice in AI answers you set the targets and you hit them. • Set and run the roadmap: From keyword and prompt research to publishing priorities, programmatic systems, and link strategy you decide what we ship and in what order. • Reposition Softr in LLMs: Move us off "no-code portal builder" and into accurate, current positioning across ChatGPT, Perplexity, Gemini, and Claude. Track it in Profound, close citation gaps, and engineer the content patterns LLMs actually quote. • Lead technical and programmatic SEO: Site health, indexation, Core Web Vitals, schema, and internal linking plus scoping programmatic page systems with engineering and managing quality at scale. • Build link, citation, and Reddit authority: Drive link and citation building across owned, earned, and partner channels, with a deliberate Reddit strategy that earns mentions LLMs and Google both trust. • Partner, report, and pitch new bets: Brief Content on structure and on-page, report monthly on SEO/AEO performance, flag risks early, and translate algorithm and LLM behavior changes into actions for the team.

• Build AI-powered product features integrated into real insurance workflows. • Design and optimize LLM-based interactions across customer and internal systems. • Develop prompts, reasoning flows, and structured AI outputs for production use cases. • Evaluate model performance using real-world data, feedback loops, and experiments. • Improve reliability of AI outputs through guardrails, fallback logic, and validation layers. • Work closely with backend engineers to integrate AI capabilities into APIs and workflows. • Design and implement AI-driven automation features (chat, recommendations, decision support). • Analyze user behavior and model responses to continuously improve AI performance. • Collaborate with product, design, and engineering teams to ship end-to-end AI features. • Contribute to AI system design decisions focused on usability and real-world impact.

• Build AI-powered product features integrated into real insurance workflows. • Design and optimize LLM-based interactions across customer and internal systems. • Develop prompts, reasoning flows, and structured AI outputs for production use cases. • Evaluate model performance using real-world data, feedback loops, and experiments. • Improve reliability of AI outputs through guardrails, fallback logic, and validation layers. • Work closely with backend engineers to integrate AI capabilities into APIs and workflows. • Design and implement AI-driven automation features (chat, recommendations, decision support). • Analyze user behavior and model responses to continuously improve AI performance. • Collaborate with product, design, and engineering teams to ship end-to-end AI features. • Contribute to AI system design decisions focused on usability and real-world impact.

• Build AI-powered product features integrated into real insurance workflows. • Design and optimize LLM-based interactions across customer and internal systems. • Develop prompts, reasoning flows, and structured AI outputs for production use cases. • Evaluate model performance using real-world data, feedback loops, and experiments. • Improve reliability of AI outputs through guardrails, fallback logic, and validation layers. • Work closely with backend engineers to integrate AI capabilities into APIs and workflows. • Design and implement AI-driven automation features (chat, recommendations, decision support). • Analyze user behavior and model responses to continuously improve AI performance. • Collaborate with product, design, and engineering teams to ship end-to-end AI features. • Contribute to AI system design decisions focused on usability and real-world impact.