Hello Patient
Overview
AI Product Architect, Conversational Designer role at
Hello Patient . The position focuses on bridging cutting-edge AI capabilities with real healthcare needs, including prompt engineering, product strategy, and translating client requirements into launchable solutions. Base pay range
$110,000.00/yr - $165,000.00/yr What You'll Do
Core Prompt Engineering & AI Implementation (40%+): Design and optimize prompts for complex healthcare workflows including multi-agent systems, appointment scheduling, and patient engagement flows; collaborate with engineering to implement and test new AI architectures, models, and conversational AI features; run experiments comparing different models, prompt strategies, and conversation approaches; build prompt evaluation frameworks and testing pipelines that scale across multiple healthcare use cases. Product Strategy & Client Requirements: Translate ambitious client requirements into lean MVPs that can be launched and iterated quickly; create product hypotheses and validation frameworks for new AI features and healthcare use cases; scope complex multi-agent workflows into phases that minimize risk while maximizing learning; partner with clients to identify core problems beneath feature requests. Platform Testing & Quality Assurance: Serve as primary user of our internal AI agent platform, stress-testing new features and identifying improvement opportunities; design and execute end-to-end testing for new AI capabilities, model deployments, and platform releases; create testing scenarios that cover edge cases, failure modes, and integration points; establish metrics and monitoring systems for conversation quality, model performance, and user satisfaction. Technical Product Management: Work closely with engineering to prioritize AI/ML platform features and improvements; identify opportunities to leverage new AI technologies (advanced prompting techniques, RAG improvements, model fine-tuning); drive roadmap decisions based on client feedback, platform usage data, and emerging AI capabilities; communicate technical AI concepts to non-technical stakeholders and clients. What You Bring
Required Experience
3-5 years in product management, AI/ML engineering, or technical product roles Advanced experience with LLMs, prompt engineering, and AI model evaluation Track record of taking products from concept to launch, preferably in fast-paced environments Experience with lean startup methodologies, hypothesis-driven development, and MVP scoping Strong analytical skills with ability to design experiments and interpret results Technical Requirements
Hands-on experience with AI/ML frameworks, APIs, and model comparison Understanding of conversational AI architecture, multi-agent systems, and prompt optimization techniques Ability to work with engineering teams on technical implementation and system design Experience with A/B testing, metrics analysis, and data-driven product decisions Preferred Qualifications
Background in healthcare technology or regulated industries Experience with AI safety, model alignment, or responsible AI practices Familiarity with software development processes and platform architecture Previous experience as a power user or early adopter of AI tools and platforms Growth Opportunities
You\'ll develop deep understanding of conversational AI architecture, multi-agent systems, and prompt optimization techniques, with exposure to real healthcare interactions and production failure analysis. Location
Austin, TX Team & Culture
Work with the GM, Agent Platform and Product, measuring whether AI can be funny and helpful; build modular systems to scale empathy. As the primary user of our platform, you\'ll influence engineering priorities and product direction. We\'re building AI that actually works in the messy reality of healthcare. If you love turning AI possibilities into practical solutions, let\'s talk.
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AI Product Architect, Conversational Designer role at
Hello Patient . The position focuses on bridging cutting-edge AI capabilities with real healthcare needs, including prompt engineering, product strategy, and translating client requirements into launchable solutions. Base pay range
$110,000.00/yr - $165,000.00/yr What You'll Do
Core Prompt Engineering & AI Implementation (40%+): Design and optimize prompts for complex healthcare workflows including multi-agent systems, appointment scheduling, and patient engagement flows; collaborate with engineering to implement and test new AI architectures, models, and conversational AI features; run experiments comparing different models, prompt strategies, and conversation approaches; build prompt evaluation frameworks and testing pipelines that scale across multiple healthcare use cases. Product Strategy & Client Requirements: Translate ambitious client requirements into lean MVPs that can be launched and iterated quickly; create product hypotheses and validation frameworks for new AI features and healthcare use cases; scope complex multi-agent workflows into phases that minimize risk while maximizing learning; partner with clients to identify core problems beneath feature requests. Platform Testing & Quality Assurance: Serve as primary user of our internal AI agent platform, stress-testing new features and identifying improvement opportunities; design and execute end-to-end testing for new AI capabilities, model deployments, and platform releases; create testing scenarios that cover edge cases, failure modes, and integration points; establish metrics and monitoring systems for conversation quality, model performance, and user satisfaction. Technical Product Management: Work closely with engineering to prioritize AI/ML platform features and improvements; identify opportunities to leverage new AI technologies (advanced prompting techniques, RAG improvements, model fine-tuning); drive roadmap decisions based on client feedback, platform usage data, and emerging AI capabilities; communicate technical AI concepts to non-technical stakeholders and clients. What You Bring
Required Experience
3-5 years in product management, AI/ML engineering, or technical product roles Advanced experience with LLMs, prompt engineering, and AI model evaluation Track record of taking products from concept to launch, preferably in fast-paced environments Experience with lean startup methodologies, hypothesis-driven development, and MVP scoping Strong analytical skills with ability to design experiments and interpret results Technical Requirements
Hands-on experience with AI/ML frameworks, APIs, and model comparison Understanding of conversational AI architecture, multi-agent systems, and prompt optimization techniques Ability to work with engineering teams on technical implementation and system design Experience with A/B testing, metrics analysis, and data-driven product decisions Preferred Qualifications
Background in healthcare technology or regulated industries Experience with AI safety, model alignment, or responsible AI practices Familiarity with software development processes and platform architecture Previous experience as a power user or early adopter of AI tools and platforms Growth Opportunities
You\'ll develop deep understanding of conversational AI architecture, multi-agent systems, and prompt optimization techniques, with exposure to real healthcare interactions and production failure analysis. Location
Austin, TX Team & Culture
Work with the GM, Agent Platform and Product, measuring whether AI can be funny and helpful; build modular systems to scale empathy. As the primary user of our platform, you\'ll influence engineering priorities and product direction. We\'re building AI that actually works in the messy reality of healthcare. If you love turning AI possibilities into practical solutions, let\'s talk.
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