Turing Labs Inc.

AI for R&D of consumer brands like P&G to develop better products

Hiring — 6 openYC-W20B2B -> RetailGrowth

What Turing Labs Inc. does

Developing a consumer product like Dove is complex, time-consuming, and expensive; companies like Unilever analyzes millions of data points to develop a blockbuster consumer product. Turing makes this process 10x more efficient. Turing's AI harnesses the data from several sources and helps to make a better decision about product development 10x faster.

6 open roles

Community Architect Intern
Palo Alto, CA, US / San Francisco, CA, USInternship$4K - $8K / monthlyVisa: US citizen/visa only
What the role involves

Remember that cereal you had this morning? The yogurt in your fridge? That protein bar in your backpack? There's a strong chance we touched its formula. We're Turing Labs - the company very few knows but most tastes every day. Backed by Y Combinator, Insight Partners, and Eric Ries, we're the silent force behind 50,000+ CPG products getting healthier without you even noticing. We're talking Kraft Heinz scale. Fortune 500 scale. "Your-mom-definitely-bought-this" scale. Now we're building something bigger: The Manhattan Project for food innovation. Your Mission (Should You Choose to Accept It): As our Community Architect, you'll be a movement builder, a narrative crafter, a professional mind-changer. Your targets? The busiest, most skeptical, most accomplished scientists on Earth. Your weapon? Pure intellectual seduction. Be at the forefront of building a movement! As a Community Engagement Intern, you will help create, cultivate, and energize a peer-driven network of specific technical experts to disrupt industry. The kind of conversations that reshape what 8 billion people eat. You'll Work Directly With: Founder and executive team Executives from companies whose logos are on your groceries We're Looking For: Someone who can make a tenured professor feel FOMO A natural debater who turns skeptics into evangelists Equal comfort discussing CRISPR and sourdough starters The kind of person who never takes no for an answer - think “I DO NOT LIKE GREEN EGGS AND HAM_”_ Previous experience making important people do things they didn't plan to do (debate team captain? Started a movement on campus? Convinced your university to divest from fossil fuels? Perfect.) Why This Isn't Your Average Internship: Your work impacts what millions eat tomorrow You're not fetching coffee; you're building the Illuminati of food innovation Real budget, real autonomy, real impact When you tell people what you did this summer, they literally won't believe you If interested, please send A 60-second video or 200-word written pitch: "How I'd convince dean of your college to join a food science community" One food product you wish existed but doesn't (bonus points for scientific feasibility) This description clarifies the focus on ongoing engagement and mission-driven community culture over one-off events, in line with how Handshake successfully built its expert network.

Forward Deployed Engineer
Palo Alto, CA, USFull-time1+ years$150K - $200K0.10% - 0.40% equityVisa: US citizen/visa only
What the role involves

We’re looking for a fantastic, high-agency problem solver to originate our forward deployed engineer team. Turing Labs is transforming product and R&D innovation across the Consumer Packaged Goods space and beyond. Our founders started Turing after seeing how 90% of CPG innovations fail due to slow, manual R&D cycles—we’re fixing that with math. Leveraging our own bespoke Machine Learning tools, modern LLMs, and traditional software, we’re building product experiences that users are able to leverage and trust while they invent the products of tomorrow. You’ll work directly with the founder, food science domain experts, ex-math professors, and our customers to help users solve problems and remove anything that blocks great ideas from becoming reality. If you think you’d be a good fit but don’t necessarily meet the profile below, **reach out and tell us why!** What you'll do: Embed deeply with customers, with an eye for both problem solving and productizing common issues. Identify and automate product insights to drive our company’s direction. Solve customer problems with our software, machine learning, and AI toolkit, and leverage our AI-assisted tooling and workflows to build custom software and agents on top of this core code where it falls short Within 15 days: understand one key problem facing a user and propose a fix; Within 30 days: deliver a custom implementation layer that solves a specific user problem the core tooling does not; Within 60 days: embed on-site with a customer for a week to watch, identify, and solve user problems we can’t see from our office. A good fit likely has: Experience in one or more of: forward deployed engineering, product, ML / AI, and food science / chemical engineering; as well as comfort having a semi-technical conversation about those fields in which you don’t have experience A knack for identifying and quantifying measurable outcomes. An uncanny ability to identify root causes vs surface level problems Excellent communication and candor. You’ll be directly communicating with customers, users, engineers, domain experts, etc. Proven high-ownership mindset: ability to work independently and be self-motivated, e.g. former founders or those that took extreme ownership in previous roles. This might not be for you if: You rely on central, rigid processes or heavy structure to identify problems. You prefer pure relationship / account management without technical implementation. It’s a bonus if you have: Specific education in chemistry, physics, machine learning, AI, etc Product / UX experience. You’ll be building things non-technical users touch, use, and rely on every day. About us: We are backed by $19.75M in funding from Y Combinator, Insight Partners, and elite angels like Eric Ries. Our core platform can’t be killed by the next release of ChatGPT. We are a small, elite team that is breaking new ground in how engineering work can be done and how problems can be solved. We operate with a high agency, high-speed culture: we trust you, we want you to build great things fast. This position is based in Palo Alto, CA with some travel expected.

Product Builder
Palo Alto, CA, USFull-time3+ years$150K - $200K0.10% - 0.40% equityVisa: US citizen/visa only
What the role involves

We’re looking for a fantastic, high-agency problem solver that is comfortable straddling the line between product and implementation. Turing Labs is transforming product and R&D innovation across the Consumer Packaged Goods space and beyond. Our founders started Turing after seeing how 90% of CPG innovations fail due to slow, manual R&D cycles—we’re here to fix that with math. Leveraging our own bespoke Machine Learning tools, modern LLMs, and traditional software and data models, we’re building product experiences that users are able to leverage and trust while they invent the products of tomorrow. You’ll work directly with the founder, food science domain experts, ex-math professors, and our customers to define and build our platform. If you think you’d be a good fit but don’t necessarily meet the profile below, **reach out and tell us why!** What you'll do: Engage deeply with real-world problems and own the complete lifecycle of creating novel, differentiating solutions E.g. build a new way for a chemist to express their expert knowledge into our optimization tool; communicate uncertain insights to a food scientist; build an agentic tool to facilitate communication between marketing and R&D Cut across dimensions and identify actual problems - not just complaints - blocking our customers from achieving their goals. Collaborate with the team to ideate, prototype, and deliver solutions to these problems that nobody else can. Leverage our AI-assisted tooling and workflows to iterate quickly and deliver real production code. Within 15 days: own identification of a small problem our users face today; Within 30 days: invent and deliver something that you created based on your conversations with our users, internal experts, etc; Within 45 days: improve our internal product processes and tooling to help the whole team deliver better results, faster. A good fit likely has: An aptitude for problem solving and learning. We don’t care exactly what you’ve done before, we care that you can go all-in and accomplish anything you set your mind to. An incredible ability to go deeper than the first layer to identify the core of the problem and suggest non-obvious solutions. 5+ years of experience “building” things that people actually use! Comfort integrating solutions at the edge of your knowledge: these solutions rely on machine learning, domain expertise, etc that no one person has all of. Proven high-ownership mindset: ability to work independently and be self-motivated, e.g. former founders or those that took extreme ownership in previous roles. Excellent communication and candor. You’ll be directly communicating with customers, users, engineers, domain experts, etc. It’s a bonus if you have: Experience or education in Machine Learning and AI. Experience or education in scientific computing, machine learning, data visualization and analytics, domain-specific tools, or similar. UX experience. You’ll be building things non-technical users touch, use, and rely on every day. About us: We are backed by $19.75M in funding from Y Combinator, Insight Partners, and elite angels like Eric Ries. Our core platform can’t be killed by the next release of ChatGPT. We are a small, elite team that is breaking new ground in how engineering work can be done and how problems can be solved. We operate with a high agency, high-speed culture: we trust you, we want you to build great things fast. This position is in person in Palo Alto, CA.

Sales / GTM Hacker
Palo Alto, CA / Sunnyvale, CA, US / San Francisco, CA, USFull-time1+ years$80K - $160K0.10% - 0.50% equityVisa: US citizen/visa only
What the role involves

What we do: AI that reformulates food products for the world's largest CPG companies. Quarters of R&D cycles → days. Not a future promise — signed Fortune 500 customers, real revenue. The role: Work directly with the CEO on GTM engine. Vertical ABM into Fortune 500 CPG — not volume outbound. Every touchpoint handcrafted. Every account matters. We walk into every meeting fully prepared — because of you Outbound gets replies from hard-to-reach, skeptical Fortune 500 buyers No deal dies from a missed follow-up or slow response Every prospect gets materials built for their exact situation Industry events turn into booked meetings and closed doors Partnership and referral channels producing warm introductions Multi-channel campaigns running — events, content, promotions, direct outreach Messaging tested and iterated weekly — keep what converts, kill what doesn't Deal team coordinated — AMs, integration specialists, everyone moving together Pipeline is tight, ruthlessly prioritized, and always current — zero surprises Within weeks, you're running discovery calls on your own By month 6, you own the full cycle — prospecting through close Market domination is the mindset. Second place doesn't exist here. This role is for someone who: Doesn't want to work on yet another voice ai agent company Gets energy from making a high-output person 3x more effective You want to learn enterprise sales sitting next to a founder in live deal cycles Thrives under a 10-month clock where every week matters Not for you if: You need a iron clad playbook, a marketing team, and a brand doing the work You think outbound means 100 generic emails a day You need predictable hours — we work 6 days a week and the bar is high You lean on experience over aptitude — slope matters more than resume here Measures their worth by job title

Senior Software Engineer - Former founder preferred
Palo Alto, CA / San Francisco, CA, USFull-time3+ years$130K - $210K0.10% - 0.40% equityVisa: US citizen/visa only
What the role involves

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 (not GPT wrapper) to discover most optimal formulation, replacing decades of trial-and-error. We’re pure-play vertical AI SaaS challenging legacy incumbents in trillion dollar industry. Your code will run inside the R&D pipelines of some of the largest CPG companies on the planet — billion-dollar brands whose products are on shelves in every country. 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. Your code will directly impact what 8 billion people eat and use every single day. Next release of GPT won’t kill us!. Why This Is Hard (and Interesting) You are building an product experience that translates ambiguous, highly complex, subjective matter expertise, and physical chemistry needs into solution for users who never had better tools than spreadsheets. This requires going far beyond traditional statistical methods and basic LLM calls. You will own the end-to-end development of AI-powered features across the backend, frontend, and deployment layers. You will build on our proprietary ML algorithms, LLMs, internal embeddings, and structured data models into product experiences that users actually trust. This is a zero-to-one build. You will ideate, plan, and deliver software that consistently exceeds customer expectations. You will collaborate tightly with our ML team to ensure outputs are not just mathematically accurate, but practically trustworthy in a lab. Who We Are We are backed by $19.75M in funding from Y Combinator, Insight Partners, and elite angels like Eric Ries. We operate with a high-agency culture: Customer Value: We talk less and ship something very fast that customers can see and use. Direct Customer Interaction: Engineers talk directly to customers. There are no translation layers or PMs shielding you from the user. Fast Decision Making: We debate on Monday, decide immediately, and execute crazy. Results Over Process: We care about customer impact, not performative engineering practices. We are a small, elite team. If you join, you will be part of the team, sitting next to the founder and tier 1 ML and software engineers in the Bay Area, working six days a week (we take Sundays off) to win. 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 are a 100x AI-Native Engineer. You not only wield AI coding tools (Claude Code, Codex, etc) to act as a force multiplier and ship at an impossible speed, but you also rethink and rebuild your processes end-to-end to stay at the bleeding edge of what’s possible. You’re a skilled engineer. You have the experience, judgement, and skillset to architect and implement the backbone of a modern, AI-native SaaS product. 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. You have excellent communication and candor. You’ll be communicating directly with customers, users, engineers and collaborating with us on key decisions. You are not a pay-me-to perform type person. You’re self-m

Amazon Web Services (AWS)PostgreSQLReactTypeScriptNatural Language ProcessingLangChain
Senior Software Engineer - Full Stack
Palo Alto, CA, USFull-time3+ years$150K - $200K0.10% - 0.40% equityVisa: US citizen/visa only
What the role involves

We’re looking for a fantastic, high-agency software engineer to join our team and push us forward. Turing Labs is transforming product and R&D innovation across the Consumer Packaged Goods space and beyond. We’re leveraging our own bespoke Machine Learning tools, modern LLMs, and traditional software and data models to build product experiences that users are able to leverage and trust while inventing the products of tomorrow. You’ll work directly with the founder, food science domain experts, ex-math professors, and our customers to define and build our platform. If you think you’d be a good fit but don’t necessarily meet the profile below, **reach out and tell us why!** What you'll do: Engage deeply with real-world problems and own the complete lifecycle of creating novel, differentiating solutions. Talk directly to customers. We want our best problem solvers as close to the users as possible. Support and continue to build out our backend traditional compute architecture (React, TypeScript, Bun, Elysia) as well as our agentic infrastructure (LangChain-based). Help us expand the horizons of what’s possible by combining machine learning, agentic AI, and traditional software approaches to solve problems no one approach can handle. Within 15 days: own implementation of a small feature; Within 30 days: Own end-to-end a major improvement to our agentic toolkit that makes product innovation better; Within 45 days: invent and deliver something that you created based on your conversations with our users, internal experts, etc. A good fit likely has: An aptitude for problem solving and learning. We don’t care exactly what you’ve done before, we care that you can go all-in and accomplish anything you set your mind to. 5+ years of software experience building real products/tools that people actually use. We’re trusting you to build a good nucleus! Proven high-ownership mindset: ability to work independently and be self-motivated, e.g. former founders or those that took extreme ownership in startups. An attitude of getting the most out of AI coding tools - not just as as a speed multiplier for coding, but as a backbone for rethinking processes, revolutionizing work roles, and achieving the impossible. Excellent communication and candor. You’ll be directly communicating with customers, users, engineers, domain experts, etc. It’s a bonus if you have: Experience or education in scientific computing, machine learning, data visualization and analytics, domain-specific tools, or similar. Experience interfacing with end users/customers. Devops knowledge. UX and/or product experience. You’ll be building things non-technical users touch, use, and rely on every day. About us: We are backed by $19.75M in funding from Y Combinator, Insight Partners, and elite angels like Eric Ries. Our core platform can’t be killed by the next release of ChatGPT. We are a small, elite team that is breaking new ground in how engineering work can be done and how problems can be solved. We operate with a high agency, high-speed culture: we trust you, we want you to build great things fast. This position is in person in Palo Alto, CA.

Amazon Web Services (AWS)ReactTypeScriptLLMsLangChain

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