Product Engineer

Lovefreedom Solution•San Francisco, CA

30d•Hybrid

About The Position

Our client is building an AI-powered platform that helps leading consulting firms manage and deliver complex enterprise ERP implementations. Their technology is already being used in live production environments supporting large-scale, mission-critical projects. Backed by a world-class founding team and significant venture funding, this is an opportunity to join an ambitious, fast-growing startup where ownership, execution, and innovation are highly valued. As a Product Engineer, you'll own the outcomes of your code. You'll work across the full stack, partnering directly with customers to solve real-world challenges and build products that drive measurable impact. The feedback loop is fast, the problems are meaningful, and the opportunity for growth is substantial.

Requirements

0-5 years of experience as a Software Engineer, Product Engineer, or Full-Stack Engineer.
Bachelor's degree in Computer Science or a related technical field.
Experience shipping products or features used by real customers (internships, startup experience, and meaningful side projects are welcomed).
Strong full-stack development skills.
Experience with: TypeScript, React, Python, FastAPI, SQL
Experience building AI or LLM-powered applications.
Strong ownership mentality and problem-solving skills.
Comfortable working in a fast-paced startup environment.

Nice To Haves

Experience at an early-stage startup.
Experience building B2B SaaS or ERP-adjacent products.
Founder experience, hackathons, open-source contributions, or ambitious side projects.
Experience gathering customer feedback and turning it into shipped product features.
Familiarity with cloud infrastructure and modern development practices.

Responsibilities

Build and ship full-stack product features from idea to production.
Develop data pipelines, AI/LLM integrations, agentic workflows, and customer-facing applications.
Partner directly with customers to understand pain points and translate feedback into scalable solutions.
Design, implement, test, deploy, and maintain production systems.
Build intuitive user experiences and scalable backend services.
Leverage AI tools to increase development velocity while maintaining engineering excellence.
Contribute to product direction and help shape the future of the platform.