Consumer packaged goods like sauce, cookie, and lotion are used by every single human on the planet. However, developing those is insanely hard, manual, and complex. Turing solves this by purpose-built AI that helps to discover most optimal formulation, replacing 50-year old trial-and-error method.

$19.75 funded, backed by Y-combinator, Insight Partners, and elite angels like Eric Ries.

FACT : 50,000 food and beverage products you consume are harmful. We’re here to fix that by enabling CPGs to develop better, healthier and better options using our AI platform - world’s first. Your code impacts what 8 billion people eat daily. You’ll also be working with 1% top talent who goes beyond traditional statistical methods and LLM. Next release of GPT won’t kill us!. We Have a High-agency Culture

• Weekly Customer Value: Every week we ship something that customers can see and use
• Direct Customer Interaction: Engineers talk directly to customers, no translation layers
• Fast Decision Making: We debate Monday, decide immediately, execute Tuesday-Friday
• Results Over Process: We care about customer impact, not perfect engineering practices

We Should Talk If You’re

• You have a genuine curiosity about agentic product experiences and are excited about understanding the impact of AI on engineering users.
• You’re a previous founder or founding engineer. You have built something from scratch that people use or pay for.
• You’re unusually obsessed with hard problems. Your current skills or even what you've done before is less important than your ability to go all-in and accomplish anything that you set your mind to.
• You’re comfortable with ambiguity and adapting to dynamic priorities. You need to have good judgement to know when to let little fires burn and when to immediately jump in.

Let’s Not Talk If

• You’re not based in The Bay Area (we’ll be a team of three if you join so we’ll be sitting next to each other in Bay Area)
• You’re not willing to work six days per week (we take Sundays off)
• You’re not excited about using codegen tools like Cursor, Windsurf, Claude Code, etc.
• You’re not comfortable as IC role
• You’re not comfortable with ambiguity and rapid context-switching.
• You don’t like candor - receiving and giving direct, honest feedback.
• You need a well defined structure or career ladder.

What You’ll Do

• Own end-to-end development of AI-powered product features across backend, frontend, and deployment layers
• Integrate LLMs, internal embeddings, and structured data models into usable product experiences
• Translate ambiguous customer needs into clear UX + code
• Ideate, plan, deliver high quality software to consistently exceed customer expectations
• Support in defining engineering culture, standards, and roadmap
• Collaborate tightly with our ML team to make outputs trustworthy, not just accurate

Must-Haves

• Have 3+ years of full-stack or backend-heavy engineering experience
• Have LLM and/or ML integration experience (e.g., LangChain, vector DBs, prompt design, model outputs into product)
• Have shipped real products — ideally in vertical SaaS, internal tools, ML/analytics platforms, or enterprise software
• Can code, but also think in product — UX, value, users
• Have founder experience or took extreme ownership in a startup environment
• Want to work in-person with a small team to move fast and win together