Technical Product Manager

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.