Logo
AdsGency AI

Engineering Manager

AdsGency AI, San Francisco, California, United States, 94199

Save Job

About AdsGency AI AdsGency AI is an AI-native startup building the multi‑agent automation layer for digital advertising. Our platform leverages LLM‑driven agents to launch, scale, and optimise ad campaigns across Google, Meta, TikTok, and beyond—removing humans from the loop and redefining performance marketing.

Position Engineering Manager (AI Systems)

Based onsite in San Francisco, City. Full‑time, relocation required. We sponsor OPT, CPT, STEM‑OPT, and Future H1B (no H1B Transfer).

Responsibilities Multi‑Agent Infrastructure

Drive design of our LLM agent orchestration system—communication, memory, autonomy, decision trees.

Ensure reliability, observability, and scalability of cross‑agent workflows.

Core Backend & APIs

Lead development of microservices powering campaigns, analytics, budgets, and user operations.

Own standards for reliability, integrations, and code quality across services.

Real‑Time Data & Optimization Pipelines

Manage teams building real‑time performance event pipelines (Kafka, PostHog, ClickHouse, Redis).

Oversee systems that support budget optimisation, agent feedback loops, and anomaly detection.

Platform Features & Frontend

Coordinate with full‑stack engineers to deliver polished Next.js dashboards, operator tools, and customer‑facing interfaces.

AI & Ad Integrations

Guide integration teams working with Google, Meta, TikTok, and emerging ad APIs.

Ensure multi‑agent workflows deliver measurable ROI and scale globally.

Technical Leadership

Run architecture reviews and own technical roadmaps.

Establish engineering processes prioritising speed, ownership, and craftsmanship.

Mentor, hire, and level‑up engineers during hypergrowth.

Our Tech Stack Backend & Infra:

Python, FastAPI, PostgreSQL, Redis, Kafka, Railway, AWS

Frontend:

React, Next.js, TypeScript, Tailwind

AI Layer:

OpenAI, Claude, LangChain, AutoGen, CrewAI, LangGraph

Data & Tools:

Weaviate, Qdrant, Supabase, PostHog, Sentry, Docker

Requirements Required

6+ years of engineering experience; 2+ years managing or tech‑leading teams.

Strong backend / infrastructure background (Python / FastAPI / Go).

Experience owning architecture in distributed systems or microservices.

Ability to give clear direction and unblock engineers quickly.

Strong execution mindset ‑ velocity is a competitive advantage.

Experience driving complex technical projects from zero to shipping.

Startup DNA: ownership, resilience, obsession with outcomes.

Ability to communicate crisply with product, founders, and operators.

Preferred / Bonus

Experience managing teams in AI, AdTech, or data‑heavy SaaS.

Understanding of LLM agent orchestration, LangChain, CrewAI, or LangGraph.

Familiarity with Google/Meta/TikTok Ads APIs.

Experience with real‑time analytics, budget optimisation, or ML ops.

Previous early‑stage or founding‑engineer experience.

Product‑minded engineering intuition – you know what to build and why.

Benefits

Competitive salary + significant equity.

Direct influence over company‑wide engineering culture & systems.

Work closely with founders and principal engineers.

Ship fast in a high‑autonomy environment with zero bureaucracy.

Build foundational systems that redefine how the world runs advertising.

Visa sponsorship (OPT, CPT, STEM‑OPT, Future H1B – no H1B transfer).

#J-18808-Ljbffr