Conveyor aims to automate and eliminate the misery from B2B customer security review and RFP processes, which are time-consuming and mentally taxing for those involved.
Requirements
- Strong software engineering foundations, building and shipping products. Your designs should be performant, maintainable (for years, not months), and evolvable.
- Recent experience in the AI/ML space, and specifically LLMs. Familiarity with key concepts, frameworks, tools and technologies. Experience evaluating different approaches and technologies, prompt engineering, evals and observability, RAG flows, search technologies, agent frameworks, etc.
- Able to perform both research/analysis and production software development work
- Curiosity and Continuous Learning: You are up to speed on developments in the fast-paced AI/ML world, and constantly thinking about how to apply new technologies and offerings to our real-world problems.
- Bias for action: Startup mentality, get things done, fast iterations, strong problem-solving and decision-making capabilities.
- Product Sense: You seek to understand the features you're working on, and actively propose positive changes. Collaborate with product and design to inform roadmap decisions.
- Ownership: Strong sense of ownership and accountability, honor commitments and be transparent about challenges.
Responsibilities
- You will analyze our AI quality and performance, propose and experiment with new technologies and ideas, then implement and improve Conveyor products.
- You will define and implement metrics and processes to evaluate and improve AI quality.
- You'll autonomously manage and own individual project priorities, deadlines, and deliverables.
- You’ll scope and implement project-level solutions with minimal guidance.
- You’ll collaborate and pair frequently with teammates and peers.
- You'll inform the product roadmap and implementation decisions based on feasibility.
- You'll ensure that our product is maintainable, meaning that other engineers are able to contribute new functionality easily, and without frequent technical debt.
Other
- 8+ years of experience in technical leadership roles, with a focus on AI/ML technologies in recent years.
- Strong preference for experience in startup environments.
- Bias for action: Startup mentality, get things done, fast iterations, strong problem-solving and decision-making capabilities. Previous experience in a small startup (or as a founder) is highly preferred.
- Team Player: You have excellent communication skills (verbal and written), enjoy collaborating with others and mentoring team members.
- Deliver Legendary Customer Experience: You have experience building and scaling products that delight real users.
