Job Description

👾 About the Job

Company : AdsGency AI

📍 Location : Onsite / SF Bay Area Preferred

💼 Employment Type : Full-Time

We’re AdsGency AI — a hacker-founded startup building autonomous, multi-agent systems to run digital advertising with zero human input.

Our product is a real-world application of AI agents that write ad copy, generate creatives, optimize budgets, launch campaigns, and learn from performance data — across Google, Meta, TikTok, and beyond.

Think : LLM agents that ship ROAS.

We move like hackers, build in public, and write code that automates the world.

You’ll be the architect of clarity across a fast-moving team of engineers, agents, and advertising logic.

This isn’t just about managing roadmaps or grooming backlogs — it’s about owning the bridge between real users and autonomous systems , ensuring every feature is scoped, shipped, and scaled with ruthless clarity.

You’ll work closely with founders, engineers, and GTM teams to define, prioritize, and ship agent-powered product experiences that generate real-world revenue.

• 🔍 Spec What Matters – Own and write clean, detailed specs that engineers want to build

• 🤖 Agent Behavior Design – Collaborate on how LLM agents think, respond, and take action inside live ad campaigns

• 🚦 Launch Planning & Feedback Loops – Define what’s “done,” coordinate releases, gather real usage data, and close the loop

• 📈 Use-Case Scoping – Work with clients and internal sales to define the right abstractions for each vertical (e.g. eCom vs SaaS)

• ⚙️ Infra Awareness – Partner with engineering to understand technical constraints and shape roadmaps accordingly

• 🧪 Test Agent Outputs in the Wild – Run experiments, track what breaks, and debug directly with the team

• 🧠 Translate Chaos into Roadmaps – Ruthlessly prioritize what matters and drop what doesn’t

✅ You’ve built or managed technical products — ideally involving LLMs, agents, or marketing automation

✅ You’re technical enough to read code, write SQL, or debug APIs — even if you don’t write prod code

✅ You’ve worked in fast-paced startups with no product babysitting required

✅ You can write docs, PRDs, and updates that are clear, useful, and bottom-line aware

✅ You’ve shipped messy v1s and polished v3s — and know when each is appropriate

✅ You thrive in ambiguity and take ownership from 0 to done

• You’ve run real ad campaigns and know what ROAS feels like

• You’ve worked on agent orchestration, prompt design, or AI tool interfaces

• You’ve written your own internal dashboards, scripts, or tools to unblock yourself

• You’ve been the calm in a shipping storm — and loved it

• You’ve served as product + ops + QA + support at once (and called it Tuesday)

• LLMs: OpenAI, Claude, HuggingFace, Ollama

• Backend: Python, FastAPI, Postgres, Redis

• Frontend: TypeScript, React

• Infra: AWS, Railway, Supabase

• Agents: LangGraph, CrewAI, Custom LLM pipelines

• Tracking: PostHog, Sentry, Linear, Slack logs

• Competitive salary + equity in a rocketship-stage AI company

• Founding-level influence on what we build, why, and for whom

• Direct exposure to real revenue, clients, and experiments that matter

• A hacker-first team that prefers async clarity over management fluff

• A seat at the table in defining agent-native product experiences

• A chance to build the product that builds the ads that build the growth

If you love turning vague goals into shipped impact — and want to define what “agentic product” even means — let’s talk.

👉 Send us your weirdest product spec, smartest tradeoff, or the wildest thing you shipped in under a week.

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