Autonomous builder position at a clinical voice AI startup, tasked with creating AI-driven systems to automate and enhance product-led growth initiatives for developer and clinical audiences.
Key Responsibilities
- Develop AI workflows to independently manage growth activities including content creation, campaign execution, developer engagement, paid advertising optimization across platforms like Google, Meta, and LinkedIn, and creative testing.
- Analyze API adoption processes to identify components such as skills, tools, evaluations, safeguards, memory systems, and feedback mechanisms required for agent functionality.
- Create adaptive systems where agents track performance metrics like signups, customer acquisition costs, conversions, and return on ad spend, enabling continuous improvement.
- Assume full responsibility for selecting automation targets, prototyping solutions, deploying in production, and ongoing oversight.
Qualifications
- Strong background in B2B SaaS performance marketing, including metrics like CAC, LTV, and conversion rates, with knowledge of paid media, funnels, and SEO.
- Technical proficiency in webhooks, JSON, APIs (e.g., OpenAI, Meta, Google Ads, Stripe), and automation tools like Make.com or Zapier, with logical systems thinking.
- Ability to operate in uncertain environments, deliver results with limited resources, and without extensive planning or team support.
- Familiarity with AI coding aids like Cursor or Claude for Python/JavaScript development beyond no-code platforms.
- Experience with LLM frameworks such as LangChain or Vercel AI SDK, covering tool integration, retrieval-augmented generation, and prompt design.
- Knowledge of automated evaluation methods to detect issues and assess agent performance in live settings.
Education
Unspecified
Benefits And Growth
- Competitive salary combined with substantial equity to align with founder-level impact and enterprise growth.
- Full medical, dental, and vision insurance for employee and dependents.
- Opportunity to contribute to cutting-edge AI foundational models in healthcare diagnostics.
- Chance to innovate in a new market segment for voice-based clinical biomarkers, influencing patient care advancements.