Founding Agentic Growth Operator

Amplifier Health • San Francisco, CA

1d • Onsite

About The Position

Amplifier Health is building the frontier of clinical voice AI. We are developing foundational models (like Sona-2) that extract deep, actionable health biomarkers from human speech. We just completed our self-serve API, and we are moving into a massive Product-Led Growth (PLG) sprint targeting digital health platforms, developers, and specialized clinics. We don't need a traditional performance marketer who manually manages ad budgets and clicks buttons in campaign managers. We need a builder to construct the machine that clicks the buttons.

This role has real autonomy and requires real conviction. Your job is to take our PLG motion from "manual" to "agent-operated"—building fleets of AI agents that autonomously execute, optimize, and scale our developer and clinical marketing workflows around the clock. This is a zero-to-one builder role. You will not be managing external marketing agencies. You will be prompting models, wiring up APIs, and constructing the autonomous systems that drive our self-serve API adoption.

Requirements

• Performance Marketing DNA: This is your core. You deeply understand B2B SaaS growth metrics (CAC, LTV, conversion rates). You know how traditional paid media, funnels, and SEO work. If you don't understand the underlying marketing mechanics, you can't automate them.
• Technical Fluency & System Thinking: You must be a highly technical builder. You know your way around webhooks, JSON, and APIs (OpenAI, Meta, Google Ads, Stripe). You naturally think in IF/THEN automation logic (Make.com, Zapier, etc.).
• Extreme Ownership: You thrive in ambiguity, execute with imperfect information, and don't need a massive team or a 6-month roadmap to ship.

Nice To Haves

• AI-Assisted Coding: You use tools like Cursor, Claude, or GitHub Copilot to write the Python or JavaScript code you need to push past the limitations of no-code tools.
• Agentic Architecture Experience: You have hands-on experience building with modern LLM orchestration frameworks (LangChain, Vercel AI SDK, etc.) and understand tool-use, RAG, and prompt engineering.
• Evaluation Frameworks: Experience building automated evals to catch regressions and measure agent quality before things break in production.

Responsibilities

• Build the Marketing Machine: Build AI workflows from scratch that autonomously run growth: technical content generation, campaign launches, developer outreach, paid channel optimization (Google/Meta/LinkedIn), and creative A/B testing.
• Deconstruct the Funnel: Break down API adoption workflows into the pieces agents actually need: skills, tools, evals, guardrails, memory, and feedback loops.
• Design Self-Improving Loops: Agents should monitor their own outputs (e.g., API signups, CAC, conversion rates, ROAS), learn from outcomes, and get sharper over time. The bar: it works at 3am on a Sunday and is better by Monday.
• End-to-End Ownership: Own everything from identifying which PLG workflows to automate, to prototyping, to production deployment, to monitoring.

Benefits

• Competitive Base + Heavy Equity: We offer a competitive baseline salary to ensure your needs are met, but let's be clear: the real financial win here isn't a high W-2, it comes from the massive, early-stage equity package. You are being compensated like a founder to build true enterprise value.
• Standard Benefits: Comprehensive medical, dental, and vision coverage to keep you and your family healthy.
• Building at the Frontier: This is an incredibly rare opportunity to join a venture-backed startup that is building actual foundational models from the ground up. You aren't just slapping a UI over a thin OpenAI wrapper; you are working at the absolute bleeding edge of AI technology.
• Category Creation in Healthcare: You aren't optimizing ad spend to sell more generic B2B widgets. You are helping pioneer a completely new category of clinical diagnostics, pushing life-saving voice biomarker technology into the real world.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed