Qualifications
What You Will Do:Design and implement intelligent AI systems capable of reasoning with large volumes of unstructured data. Deliver full-stack features based on direct user feedback. Enhance product usability and trustworthiness for engineers. Develop systems to automatically assess LLM outputs and refine reasoning capabilities through self-play. Build comprehensive ML pipelines, including data ingestion, feature generation, and embedding stores. Experiment with open-source and advanced LLMs to evaluate their potential applications. Create scalable infrastructure to support long-running, multi-step agents.
About the job
TierZero seeks a Founding Member of Technical Staff to join the team in San Francisco. This in-person position requires working from the SF headquarters at least three days per week.
Role overview
This role centers on close collaboration with a group of engineers who have collectively delivered over $10 billion in value during their careers. Expect to work side by side with teammates, sharing ideas and building strong connections in the office. The environment often shifts, so adaptability and comfort with changing priorities are important.
Key responsibilities
- Work directly with experienced engineers to design and build new products
- Prioritize customer needs and satisfaction in product decisions
- Develop solutions using large language models (LLMs), multi-cloud platforms (MCPs), cloud infrastructure, and observability tools
Requirements
- Minimum 5 years of professional engineering experience or a strong record of open-source contributions
- Experience in startups and familiarity with their unique challenges is a plus
Location
This position is based in San Francisco. In-office presence is required three days each week for collaboration.
About tierzero
At TierZero, we recognize that while AI has revolutionized code development, the deployment of that code still relies heavily on human speed. This gap presents a significant challenge for engineering teams. Our mission is to empower fast-moving engineering teams to effectively manage their production code, ensuring quick incident responses, comprehensive operational visibility, and the distribution of knowledge among all engineers. Having secured $7 million in funding from esteemed investors such as Accel and SV Angel, we are proud to support renowned companies like Discord, Drata, and Framer in optimizing their high-scale systems and building a robust infrastructure for AI-driven engineering.