--- title: 'Senior Algorithm Engineer – Quantitative AI Systems at Hellyeah AI' canonical: 'https://feeny.ai/job/senior-algorithm-engineer-quantitative-ai-systems-hellyeah-ai-shanghai-s1fqga1fz9fm' type: 'job' last_seen: '2026-09-08' --- # Senior Algorithm Engineer – Quantitative AI Systems at Hellyeah AI - **Company:** Hellyeah AI - **Location:** Shanghai, China - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-06 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/hellyeah/c0bb843a-058d-453e-bb94-3726498e3975 ## Job description ## About Hellyeah AI Hellyeah AI is building AI-powered solutions to help businesses make better decisions through advanced automation, data intelligence, and algorithmic systems. We are looking for a Senior Quantitative Engineer / Algo Engineer to join our engineering team and build the next generation of quantitative strategy infrastructure. The ideal candidate has experience from top quantitative trading firms, hedge funds, or financial technology companies, with strong expertise in algorithm development, quantitative research infrastructure, and large-scale backtesting systems. ## Responsibilities - Design, develop, and optimize quantitative trading strategies and algorithmic models - Build and maintain high-performance backtesting and simulation frameworks - Develop research infrastructure that enables rapid strategy iteration and validation - Collaborate with quantitative researchers to translate trading ideas into production-ready systems - Implement data pipelines, signal generation frameworks, and strategy evaluation tools - Improve the accuracy, scalability, and performance of simulation environments - Conduct strategy analysis, performance attribution, and model optimization - Ensure research results can be reliably transitioned into production systems ## Requirements - 5+ years of experience in quantitative development, algorithm engineering, or related fields - Experience working at leading quantitative trading firms, hedge funds, proprietary trading firms, or financial technology companies preferred - Strong experience building quantitative research platforms, backtesting engines, or trading infrastructure - Strong programming skills in Python and/or C++ - Solid understanding of algorithmic trading, quantitative strategies, and financial data systems - Experience with large-scale time-series data processing and performance optimization - Strong problem-solving ability and engineering mindset ## Preferred Qualifications - Experience with systematic trading strategies, factor models, or machine learning-based trading systems - Experience building low-latency or high-performance simulation systems - Background in mathematics, statistics, computer science, or related technical fields - Experience with market microstructure, execution models, or portfolio optimization ## 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. ## Why Work Here - **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. ## Sources 1. [hellyeahai.com](https://www.hellyeahai.com/) – Company homepage, product overview, case studies 2. [hellyeahai.com/capabilities](https://www.hellyeahai.com/capabilities) – Detailed capabilities and FAQs 3. [builtin.com/company/hellyeah-ai](https://builtin.com/company/hellyeah-ai) – Built In company profile, year founded, offices, job listings 4. [builtin.com/company/hellyeah-ai/jobs](https://builtin.com/company/hellyeah-ai/jobs) – Open positions list (15 jobs as of search date) 5. [jobs.ashbyhq.com/hellyeah](https://jobs.ashbyhq.com/hellyeah) – Official careers page (referenced but not provided in search results) ## Other roles at Hellyeah AI - [UI/UX Designer](https://feeny.ai/job/ui-ux-designer-hellyeah-ai-shanghai-d1gfmbmtc7vt) — Shanghai, China - [AI Engineer — Learn Engine: Platform & Simulation](https://feeny.ai/job/ai-engineer-learn-engine-platform-simulation-hellyeah-ai-san-francisco-t29zeyay4c7g) — San Francisco, CA - [AI Engineer — Learn Engine: Intelligence & Optimization](https://feeny.ai/job/ai-engineer-learn-engine-intelligence-optimization-hellyeah-ai-san-francisco-z8hxjeph10qg) — San Francisco, CA - [Senior User Acquisition Manager](https://feeny.ai/job/senior-user-acquisition-manager-hellyeah-ai-san-francisco-avb2189t1m6e) — San Francisco, CA - [Performance Creative Designer](https://feeny.ai/job/performance-creative-designer-hellyeah-ai-seoul-cdtcqgd2c0yb) — Seoul, South Korea - [Developer Relations Engineer](https://feeny.ai/job/developer-relations-engineer-hellyeah-ai-san-francisco-q3zmbg4ah8se) — San Francisco, CA - [Senior BD Manager](https://feeny.ai/job/senior-bd-manager-hellyeah-ai-san-francisco-kn2zfkgh0dsz) — San Francisco, CA - [Founding Head of GTM / Revenue](https://feeny.ai/job/founding-head-of-gtm-revenue-hellyeah-ai-san-francisco-9evws3yy8865) — San Francisco, CA - [Founding Head of Developer Growth](https://feeny.ai/job/founding-head-of-developer-growth-hellyeah-ai-san-francisco-hnxv6wdmq1fr) — San Francisco, CA - [Senior Tech Product Manager](https://feeny.ai/job/senior-tech-product-manager-hellyeah-ai-san-francisco-dqhk4evhd2w7) — San Francisco, CA