Mentum is building an LLM-powered workflow automation tool for supply chain teams. Mentum is backed by Gradient Ventures (Google’s AI Fund), Y Combinator, and other leading investors.

About Mentum

Join Mentum

• Building an LLM workflow automation platform for supply chain teams.
• Innovative manufacturers across the renewable energy, automotive, and aerospace industries are using Mentum + advanced conversations for pilots with large enterprises.
• Massive market opportunity: $300 billion/ year opportunity, hundreds of thousands of potential customers with strong tailwinds from new regulations and geopolitics development.
• Second-time technical founder with background in fintech (200k+ transaction data processed /month), ML, worked at BlackRock’s AI hedge fund team.
• A unique opportunity for contributing to open-source code and product and community-led growth.
• We’re funded by Gradient Ventures (Google’s AI fund) and YC and 7+ years of runway.

About the role

What you’ll do:

• Tackle Complex Challenges: Work on intricate problems at the intersection of AI, supply chain, and workflow automation. This involves creating core building blocks, scaling scraper technology, and open-sourcing integrations.
• Lead Engineering Design: Architect and design critical components of our product and infrastructure.
• Hands-On Full-Stack Coding: Engage in fast-paced, iterative development, writing code that directly impacts our product.
• Strategize Engineering Decisions: Balance speed and technical debt to optimize our engineering strategy.
• Advance LLMs: Collaborate closely with the founders to enhance our LLM pipeline, ensuring it’s robust for production. Our pipeline includes an orchestrator, guardrails, context construction, model gateways, routers, agentic workflows, and more.
• Enhance ML Pipelines: Support the evolution of our ML pipeline, from preprocessing and feature engineering to finetuning and testing.
• Drive DevOps Excellence: Play a key role in orchestrating our workflow automation, setting up CI/CD pipelines, and maintaining uptime as we scale.
• Customer Collaboration: Partner with some of the brightest minds in supply chain—business leaders with technical expertise in mechanical, electrical, computer, analytics, and industrial engineering—to co-design the product.

Who you are:

• You have startup experience and a strong entrepreneurial spirit.
• You’re comfortable iterating fast, even if it means throwing away code.
• You’re excited about building at the bleeding-edge of AI and ML.
• You’ve built and scaled applications that are widely used.
• You have solid experience with GCP or AWS.
• You’re enthusiastic about interacting with customers to refine and enhance the product.
• You’re a versatile engineer who doesn’t shy away from frontend, backend, or ML challenges.
• You’re a fast learner, eager to pick up new skills and technologies.

Bonus Points:

• Academic or professional experience in AI with a solid grasp of first principles.
• A desire to grow into an engineering leadership role as the company scales.

Tech Stack:

• Typescript and javascript for frontend.
• Python and FastAPI for backend and ML.
• Prompt-engineering, regex, and more.
• GCP for infrastructure.

Location:

• San Francisco, CA. We are cultivating an in-person work culture; this role is based in-person (not remote or hybrid).
• Our offices are in front of Salesforce Park in a building full of AI YC startups! You will have great influence over the snacks we buy :)
• From an excerpt by Isaacson’s Musk biography: “In laying out the factory, Musk followed his philosophy that the design, engineering, and manufacturing teams would all be clustered together. “The people on the assembly line should be able to immediately collar a designer or engineer and say, ‘Why the f*** did you make it this way?’”

GCP, Typescript, Python, FastAPI, React, Docker.