AI Engineer — Learn Engine: Platform & Simulation at Hellyeah AI (San Francisco, CA)

Hellyeah AI· San Francisco, CA·2d ago

Role details

Work type

Onsite

Employment

Full-Time

Job description

Build the tools that do not exist yet — a campaign simulator, a creative intelligence engine, an experimentation platform. This is invention work, not integration work. Every tool you build becomes a product moat that competitors cannot easily replicate. You will work alongside the intelligence engineer to create a closed-loop optimization system that gets smarter with every dollar spent.

Must Have: Has built platform/tooling systems that unlock new capabilities for users, not just internal plumbing.

Strong TypeScript or Python with fast production shipping ability.
Experience with browser automation, screen capture, simulation, or experimentation infrastructure.
Strong product instincts for turning messy data and workflows into usable tools.
AI-first development workflow with high implementation velocity.

Nice to have: Simulation engine / Monte Carlo / probabilistic modeling experience

Computer vision or image analysis (for creative intelligence)
Ad-tech or growth engineering background
A/B testing or experimentation infrastructure experience
Experience with Mastra, Langchain, or LLM orchestration frameworks

Own the platform and simulation layer of Learn Engine. Build the campaign simulator, experimentation infrastructure, screen-capture and creative-intelligence pipelines, and client-facing data products that let operators model outcomes before spending real money. This role owns tooling, infrastructure, simulation fidelity, and productized research surfaces — not the optimization policy itself.

Why work at Hellyeah AI

Culture: Engineers are empowered to think like founders, with a strong emphasis on autonomy, creative problem-solving, and high standards for technology and product design.
Work policy: Hybrid (mix of remote and on-site) with two offices in the United States. Remote options are available for some roles.
Team & pace: Fast-paced, client-facing environment. The company is early-stage (founded 2026) with a small but growing team, offering significant impact per employee.
Tech stack: AI-native, agentic frameworks, prompt engineering, big data systems (Postgres, Parquet, ETL/ELT), and integrations with major ad and CRM platforms.

About Hellyeah AI

Company Overview

One-liner: Hellyeah AI is an AI-native growth engine that provides autonomous digital workers to accelerate marketing teams by executing campaigns across paid media, content, lifecycle, and creative channels from a single command layer.
Entity Type: Private (early-stage startup, year founded 2026, no public funding round disclosed)
Headquarters: United States (two offices; specific city not publicly available)
Founded: 2026
Founders: Not publicly disclosed

Core Business

Primary industry: AI-driven marketing technology (Martech / Growth Marketing)
Target customers: B2B, primarily lean marketing teams of 5–25 people, as well as growth teams at mid-market and enterprise companies
Mission / purpose: Build AI agents that research, create, launch, and learn—compounding growth knowledge so that every campaign starts from what was learned before, never from zero.

Products & Services

AIMA (AI Marketing Agent): The orchestration layer that accepts goals via CLI, SDK, or WhatsApp and routes them to specialized agent clusters. Acts as the central command for all growth workflows.
Agentic Marketing: Autonomous end-to-end campaign execution—targeting, creative, spend, and optimization—without requiring human input at each step.
AI Performance Marketing: Real-time ROAS optimization across Meta, Google, LinkedIn, and TikTok, including bid, audience, and creative updates.
SEO / GEO Content Engine: AI agents that research, write, and publish search-optimized and generative-AI-optimized content at scale.
Lifecycle Automation: Behavior-triggered personalization for email, SMS, and in-app push.
Creative Generation & Testing: Autonomous ad copy, image, video, and landing page generation with continuous A/B testing; winners ship automatically.
Influencer & Creator Marketing: Quantitative ROI tracking and management of influencer campaigns.
Forge (Execution Layer): Six autonomous growth systems handling data pipelines, creative A/B testing, compliance screening, and influencer management.
Mutation (Intelligence Layer): Real-time audience intelligence and attribution that agents use to decide where to spend next and when to iterate creative.

All products are accessible via CLI, SDK, web console, or even WhatsApp, and integrate with existing stacks (Meta, Google, TikTok, Klaviyo, CMS, etc.). Spend caps, approval gates, and an immutable audit log are built in.

Market Standing

Valuation / Market Cap: Not publicly available
Key Metric: Not disclosed (revenue and total funding are not publicly reported; the site mentions a $50,000/month spend cap for customers but this is not a company metric)
Notable Investors / Partners: Not publicly disclosed
Growth Signals: Founded in 2026, the company already lists 15 open positions on Built In, indicating rapid headcount growth. Multiple case studies (six real customers) are featured on the website. The platform supports ISO 27001, GDPR, CCPA, DPFA, and HIPAA-ready compliance—suggesting enterprise traction.

Competitive Advantages

AI-native agent architecture: Unlike traditional marketing dashboards that require manual configuration and optimization, Hellyeah agents autonomously research, create, launch, and learn—compounding results over time.
Full-stack integration: Operates across paid, organic, lifecycle, creative, and influencer channels from a single command layer, with an open SDK for custom HTTP APIs.
Compounding memory: All outcomes are stored in a queryable Postgres + Parquet database; winners are promoted, losers pruned, and lessons written back to become the starting point for the next campaign.
Vendor lock-in prevention: Users can export the entire growth memory and take it elsewhere.
Spend control and audit: Immutable audit log, spend caps, and approval gates ensure budget safety and compliance.

Strategic Focus

Developer-first adoption: The CLI and SDK are the source of truth; the web console is a thin viewer. The company is hiring a Founding Head of Developer Growth to drive adoption among developers and build community.
Scaling the agent layer: Continued investment in the Learn Engine (intelligence & optimization, platform & simulation) and core ad platforms to improve campaign automation and intelligence.
Customer expansion: Targeting both lean teams and larger enterprises, with a focus on cross-channel execution and autonomous optimization.

Sources

hellyeahai.com – Company homepage, product overview, case studies
hellyeahai.com/capabilities – Detailed capabilities and FAQs
builtin.com/company/hellyeah-ai – Built In company profile, year founded, offices, job listings
builtin.com/company/hellyeah-ai/jobs – Open positions list (15 jobs as of search date)
jobs.ashbyhq.com/hellyeah – Official careers page (referenced but not provided in search results)

Job description

Why work at Hellyeah AI

Application questions