TL;DR: If you:
have grown P&L from 0→10 in a complex industry;
have one foot in AI and another in aerospace & defense;
are a hard-charging leader who likes to move fast, drive performance, and deliver results…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
About the opportunity:
You will build our aerospace & defense business from the ground up and be responsible for its P&L growth. You will own the end-to-end customer journey, growth, and strategic partnerships. You will be responsible for building P-1 Defense, our FOCI-mitigated subsidiary. You will work closely with the CEO and the rest of the leadership team on go-to-market strategy and the product roadmap. You'll have significant autonomy and the opportunity to build a category-defining business around engineering AI.
In this role you will have primary responsibility for business development and sales, marketing and comms, partnerships, infrastructure and compliance, security, customer success, growth, and P&L realization, and significant but shared responsibility with other members of the leadership team for product definition and forward-deployed engineering.
About the role:
Build and execute the strategy for P-1 AI's expansion into aerospace & defense, including customer acquisition, partnerships, market positioning, and long-term growth.
Own the P&L for the aerospace & defense business, including revenue targets, growth initiatives, budgeting, and operational performance.
Build relationships with engineering leaders, executives, program managers, and government stakeholders across aerospace & defense primes, startups, and government customers.
Identify, negotiate, and manage strategic partnerships that accelerate customer acquisition, program execution, and data access.
Work closely with customers and forward deployed engineers to translate real-world engineering problems into product requirements and new capabilities for Archie.
Stand up the people, processes, and systems required to operate in regulated defense environments, including ITAR, NISPOM, and other industrial security requirements.
Build the foundations of P-1 Defense, including team structure, customer workflows, and operating rhythms as the business scales.
About you:
You've owned P&L for a business unit, startup, or major program.
You've taken products, programs, or books of business from 0→1 (and ideally 0→10) and know how to create momentum where none previously existed.
You've negotiated and closed complex deals involving multiple stakeholders and long sales cycles.
You can credibly engage with engineers, operators, executives, and government customers without changing who you are in the room.
You've built and maintained senior relationships across defense primes, government organizations, or strategic industry partners.
You’re fluent in modern AI and have relationships across the AI ecosystem.
You move with exceptional urgency, autonomy, and a strong bias toward action.
You're eligible for a US government security clearance. An existing clearance is a plus.
Location:
Role can be remote (US only). Preference for DMV or SF Bay Area. Relocation support available.
Benefits:
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
","descriptionPlain":"TL;DR: If you:\n\n\n\n - have grown P&L from 0→10 in a complex industry;\n\n - have one foot in AI and another in aerospace & defense;\n\n - are a hard-charging leader who likes to move fast, drive performance, and deliver results…\n\n\n… you should apply for this role!\n\n\n\nAbout P-1 AI:\n\nAt P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.\n\n\n\nAbout the opportunity:\n\nYou will build our aerospace & defense business from the ground up and be responsible for its P&L growth. You will own the end-to-end customer journey, growth, and strategic partnerships. You will be responsible for building P-1 Defense, our FOCI-mitigated subsidiary. You will work closely with the CEO and the rest of the leadership team on go-to-market strategy and the product roadmap. You'll have significant autonomy and the opportunity to build a category-defining business around engineering AI.\n\n\n\nIn this role you will have primary responsibility for business development and sales, marketing and comms, partnerships, infrastructure and compliance, security, customer success, growth, and P&L realization, and significant but shared responsibility with other members of the leadership team for product definition and forward-deployed engineering.\n\n\n\n\nAbout the role:\n\n - Build and execute the strategy for P-1 AI's expansion into aerospace & defense, including customer acquisition, partnerships, market positioning, and long-term growth.\n\n - Own the P&L for the aerospace & defense business, including revenue targets, growth initiatives, budgeting, and operational performance.\n\n - Build relationships with engineering leaders, executives, program managers, and government stakeholders across aerospace & defense primes, startups, and government customers.\n\n - Identify, negotiate, and manage strategic partnerships that accelerate customer acquisition, program execution, and data access.\n\n - Work closely with customers and forward deployed engineers to translate real-world engineering problems into product requirements and new capabilities for Archie.\n\n - Stand up the people, processes, and systems required to operate in regulated defense environments, including ITAR, NISPOM, and other industrial security requirements.\n\n - Build the foundations of P-1 Defense, including team structure, customer workflows, and operating rhythms as the business scales.\n\n\n\nAbout you:\n\n - You've owned P&L for a business unit, startup, or major program.\n\n - You've taken products, programs, or books of business from 0→1 (and ideally 0→10) and know how to create momentum where none previously existed.\n\n - You've negotiated and closed complex deals involving multiple stakeholders and long sales cycles.\n\n - You can credibly engage with engineers, operators, executives, and government customers without changing who you are in the room.\n\n - You've built and maintained senior relationships across defense primes, government organizations, or strategic industry partners.\n\n - You’re fluent in modern AI and have relationships across the AI ecosystem.\n\n - You move with exceptional urgency, autonomy, and a strong bias toward action.\n\n - You're eligible for a US government security clearance. An existing clearance is a plus.\n\n\n\nLocation:\n\nRole can be remote (US only). Preference for DMV or SF Bay Area. Relocation support available.\n\n\n\nBenefits:\n\nCompetitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO."},{"id":"cfbb66d3-0088-4f31-a63f-d5bed860ce10","title":"Founding Product Designer","department":"Core Engineering","team":"Core Engineering","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-07-29T03:03:21.436+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/P-1%20AI/cfbb66d3-0088-4f31-a63f-d5bed860ce10","applyUrl":"https://jobs.ashbyhq.com/P-1%20AI/cfbb66d3-0088-4f31-a63f-d5bed860ce10/application","descriptionHtml":"TL;DR: If you:
have designed products that made complex technical work feel simple, fast, and almost obvious;
want to invent the interaction model for AI agents that do real engineering work, not chatbots that answer questions;
are equally comfortable talking to mechanical engineers, watching users struggle, and turning ambiguity into beautiful product surfaces;
want to be the first product designer at a fast-moving Series A company building toward engineering ASI…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
About the opportunity:
This is a rare chance to define the product experience for a new category: AI agents that participate in real engineering work. Archie needs to understand goals, ask smart clarifying questions, use engineering tools, show his work, collaborate with humans, and earn trust inside high-stakes industrial workflows.
As our founding product designer, you will turn that capability into a product that feels legible, powerful, and inevitable. You will work directly with the CEO, AI engineers, product engineers, and design partners to shape the core interaction patterns, product architecture, and visual language of P-1 AI. Our design principles include: functionalism, density, explicitness, anti-minimalism, verbosity over opacity, and a timeless, unfashionable aesthetic.
About the role:
Design the core user experience for Archie, including how engineers assign work, review results, inspect reasoning, compare alternatives, and share work back and forth with an AI teammate.
Turn messy design-partner conversations into product flows, wireframes, prototypes, and crisp product decisions.
Sit with users as they try Archie on real engineering tasks, watch where they get confused or skeptical, and redesign the experience until it clicks.
Create prototypes that make abstract AI capabilities concrete for customers, investors, recruits, and internal teams.
Build P-1 AI’s product design system, including interaction patterns, information hierarchy, visual language, and reusable components.
Partner with frontend and AI engineers to ship product quickly, then tighten the experience through repeated cycles of user feedback.
Help decide what Archie should expose, what it should hide, when it should ask for help, and how it should communicate uncertainty in high-trust engineering workflows.
About you:
You have designed products for technical users where the underlying domain was complex, ambiguous, and/or expert-driven.
You can show a portfolio artifact where you personally turned a confusing workflow into a product experience that feels clear and powerful.
You are strong at interaction design, product architecture, prototyping, and visual craft.
You are comfortable working from first principles when there is no existing product category to copy.
You like spending time with users, especially when the feedback is messy, technical, or contradictory.
You can move between low-fidelity sketches, polished mockups, written product thinking, and implementation details without losing momentum.
Location:
Remote (US/Canada) or San Mateo, CA. Remote employees spend one week out of six working together on-site in our San Mateo office. Relocation support available.
Benefits:
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:
Initial screening call (30 mins)
Biographical/behavioural interview (45 mins)
Portfolio review and design interview (60 mins)
Customer strategy interview (30 mins)
CEO interview (30 mins)
TL;DR: If you:
can rapidly prototype, integrate, and ship AI systems into production;
love turning messy real-world problems into elegant technical solutions;
have built something remarkable, at work or outside of it…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
About the opportunity:
Our Forward Deployed Engineers serve as the technical lead for each customer deployment, making key technical decisions on architecture, data integrations, and user experience for specific customer missions. On a daily basis, you will build end-to-end AI solutions, take them into production, and support our customers solving real-world physical engineering problems with novel AI capabilities.
About the role:
Work with customers over the entire Archie product lifecycle: Lead discovery sessions, translate engineering challenges into AI use cases, design how Archie integrates into each workflow, and provide post-deployment support to ensure customer success.
Design, implement, and refine customer integrations: Connect Archie to engineering data sources and tools, iterate until it delivers measurable value.
Fine-tune and evaluate AI systems in production environments: Identify, collect, and prepare customer data to fine-tune models. Source evaluation criteria and questions from customer sessions to validate improved engineering capability.
Collaborate with engineering teams: Work closely with subject matter experts and AI specialists to develop novel AI systems capable of executing critical customer engineering tasks.
Diagnose and resolve critical issues in live deployments: Drive root-cause analysis and implement durable improvements across the organization.
About you:
Experience shipping data-driven or AI systems to production (Python experience strongly preferred).
A physical engineering background (automotive, aerospace, electrical, mechanical, etc.).
Can rapidly build integrations between disparate customer systems.
Comfortable working directly with customers and technical leaders.
Have integrated or extended AI systems. Bonus points for engineering or scientific domains!
Delivered solutions in secure enterprise environments.
Handled live production troubleshooting and customer incident response.
Location:
Remote (US/Canada) or San Mateo, CA. Remote employees spend one week out of six working together on-site in our San Mateo office. Relocation support available.
Benefits:
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:
Introductory call (30 mins)
Biographical/behavioural interview (45 mins)
Technical interview (60 mins)
CEO interview (30 mins)
TL;DR: If you:
have a demonstrated track record of turning ambitious AI ideas into products people actually use;
move effortlessly between research and engineering;
have shipped something extraordinary, at work or outside of it;
are relentlessly curious about how things work…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
About the opportunity:
We're building toward engineering ASI, and every capability we ship moves us closer. You'll work on the fundamental systems that allow Archie to reason, learn, and operate in complex engineering domains—taking ideas from whiteboards and papers all the way to production deployments.
About the role:
Develop agentic engineering reasoning through methods ranging from structured representation to formal methods to solve real engineering design problems.
Build, improve and maintain our agentic harness and its tool integrations.
Ground the quality of your work by regularly running evaluations and tests.
Analyze production traces to identify failure modes and investigate customer-reported bugs.
Collaborate with research scientists to identify gaps in current model capability, help develop custom models and transition them into the core product.
Stay up-to-date with new agentic frameworks and capabilities, and bring promising ideas into reality.
About you:
Experience transitioning AI research prototypes into delivered products.
Deep learning experience with strong fundamental understanding about machine learning, large language models, and agentic harnesses.
Fluent in Python and common agentic frameworks (for example LangChain).
Experience building physical systems (Aerospace, Mechanical, Robotics, other).
Location:
Onsite in San Mateo, CA. Relocation support available.
Benefits:
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:
Initial screening call (30 mins)
Biographical/behavioural interview (45 mins)
Technical interview (60 mins)
CEO interview (30 mins)
TL;DR: If you:
obsess over how intelligent systems learn, adapt, and improve over time;
have a track record of exceptional research or engineering achievement;
move effortlessly between papers, experiments, and production code;
turn half-baked ideas into working systems…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
About the opportunity:
We’re seeking an exceptional AI Research Scientist to join our small team of elite researchers and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.
About the role:
Research and develop approaches for continual learning, fast adaptation, memory formation, knowledge retention, and transfer learning in large-scale AI systems.
Own the full development pipeline from data generation to evaluation to product integration.
Contribute to both research strategy and technical implementation—this is a hands-on role. Have ownership over your own applied research stream.
Investigate topics such as continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation.
About you:
A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
Have conducted research in one or more areas such as continual learning, lifelong learning, meta-learning, online learning, reinforcement learning, memory systems, model adaptation, transfer learning, or related fields.
Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.
Creative approach to bringing definition and solutions to under-specificed challenges.
Are excited by fundamental questions around how intelligent systems acquire, retain, and use knowledge over time.
Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.
Take a high-ownership, “make it work” approach to problem solving.
Publications in top-tier venues.
Location:
Onsite in San Mateo, CA. Relocation support available.
Benefits:
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:
Initial screening call (30 mins)
Biographical/behavioural interview (60 mins)
Technical interview (75 mins)
CEO interview (30 mins)
TL;DR: If you:
think deeply about how machines reason about the physical world;
have a track record of exceptional research or engineering achievement;
move effortlessly between papers, experiments, and production code;
love difficult problems with no obvious solution…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
About the opportunity:
We’re seeking an exceptional AI Research Scientist to join our small team of elite researchers and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.
About the role:
Research and develop new approaches for spatial reasoning, geometric understanding, physical reasoning, and structured world modeling in large-scale AI systems.
Own the full development pipeline from data generation to evaluation to product integration.
Contribute to both research strategy and technical implementation—this is a hands-on role. Have ownership over your own applied research stream.
Investigate topics such as 3D reasoning, geometric representations, multimodal reasoning, world models, simulation, and physical intuition.
Stay on the edge of what’s possible and bring promising ideas into reality (e.g. following the literature, attending conferences, etc).
About you:
Have conducted research in one or more areas such as spatial reasoning, geometric deep learning, 3D vision, multimodal reasoning, world models, robotics, simulation, or related fields.
Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.
Creative approach to bringing definition and solutions to under-specificed challenges.
Are fascinated by how intelligent systems perceive, represent, and reason about the physical world.
Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.
Take a high-ownership, “make it work” approach to problem solving.
As a bonus, you may have:
A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
Publications in top-tier venues.
Experience working with CAD data, point clouds, meshes, simulation environments, or other geometric representations.
Location:
Onsite in San Mateo, CA. Relocation support available.
Benefits:
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:
Initial screening call (30 mins)
Biographical/behavioural interview (60 mins)
Technical interview (75 mins)
CEO interview (30 mins)
TL;DR: If you:
are insatiably curious about industrial customer engineering use cases;
enjoy acting as the conduit between customer use case discovery and rapid product feature building;
have owned complex AI deployments for enterprise customers;
are technically fluent, commercially minded, and know how to grow customer accounts…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training datasets and environments that create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included several AI luminaries from Anthropic and Nominal alongside our existing angel investors from Google and OpenAI.
About the opportunity:
As a AI Deployment Manager, you will own the discovery, success, and growth of P-1 AI’s customer relationships.
Our industrial customers are introducing an entirely new kind of worker into their engineering organizations: an AI engineer. There is no playbook for this yet and we want you to help build it.
You'll work with customers to find where Archie can have the most impact, then work alongside our FDEs to make those deployments successful.
About the role:
Own the day-to-day success of deployments, working with customers and FDEs to unblock issues, manage priorities, and make sure Archie is delivering peak value.
Capture customer feedback and emergent use cases in formal specifications to directly drive feature implementation and product development.
Serve as a voice of the customer in internal product roadmapping and prioritization discussions.
Drive customer expansion by finding the next teams and use cases for Archie within existing accounts and across industry.
Spend considerable time on-site with customers and key stakeholders.
About you:
Experience in customer-facing roles with direct responsibility for AI deployments to enterprise customers.
Equally comfortable diving into the technical details of a customer use case or engineering tool use pattern, and how it translates into commercial value for a customer.
Thrive in a face paced environment, preferably with experience at a fast-growing startup.
Willingness to spend approximately 25% of time at customer sites, increasing to 50-60% during discovery, deployment, and other critical phases.
Direct experience and domain knowledge in data center engineering, automotive, or aerospace and defense is a plus.
Location:
Remote (US/Canada) or in-office in San Mateo, CA. Remote employees spend one week out of six working together in our San Mateo office. Relocation support available.
Compensation & Benefits:
Competitive base salary, material performance based variable bonus, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:
Introductory call (30 mins)
Biographical/behavioural interview (45 mins)
Case study interview (60 mins)
CEO interview (30 mins)
Full Stack Super SWE
TL;DR: If you:
have an aggressive approach to AI-assisted development and are constantly pushing the limits of coding agents;
build excellent backend systems and understand what performant, well-structured frontend code looks like;
are comfortable owning architecture, backend, frontend, deployment, and reliability when the problem demands it;
are motivated by the goal of building superintelligence for engineering…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We are backed in our mission by some of the top venture investors and AI luminaries.
About the opportunity:
You'll build the product experience that sits between frontier AI systems and demanding technical users, solving interaction problems that simply didn't exist before agentic AI. Every feature you ship will directly shape how engineers work with AI in the physical world.
About the role:
Build the core product platform upon which Archie is built and shipped to customers.
Responsible for end-to-end product features that may span architecture, back end, front end, and reliability.
Develop and adopt state of the art best practices for using coding agents in the team's development workflow.
Work closely with our forward deployed engineers, AI researchers, fellow SWEs, and founders to rapidly prototype, test, and iterate on entirely new product concepts.
Ship continuously, respond to feedback from customers, and refine the product through rapid iteration.
About you:
SWE heavyweight that can work across architecture, infrastructure, back end, front end, and everything in between.
Taken products or significant features from concept through production and can clearly explain the engineering decisions made along the way.
Take deep pride in the product you put out.
Always experimenting with the latest AI products to optimize your workflow for efficiency and code caliber.
Have public proof of talent through products, open-source work, personal projects, technical writing, or other artifacts you've created.
Thrive in fast-moving environments where ownership is high, ambiguity is normal, and shipping quickly matters.
Location:
Remote (US/Canada) or San Mateo, CA. Remote employees spend one week out of six working together on-site in our San Mateo office. Relocation support available.
Benefits:
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:
Initial screening call (30 mins)
Biographical/behavioural interview (45 mins)
Technical interview (60 mins)
CEO interview (30 mins)
TL;DR: If you:
Have yourself designed complex physical systems;
Can translate customer workflows into a coherent, scalable product;
Have a rigorous understanding of AI models, agents, evals, and failure modes;
Have taken an AI product from early capability to sustained use;
Are as happy and capable being hands-on, as you are building and leading a team;
Share our vision of an AI engineer for the physical world…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
About the opportunity:
This is one of the most impactful roles in the company. You will work alongside the CEO to refine and translate the product vision for Archie into an actionable roadmap and strike the delicate balance between vision-driven and customer-driven product development. You must bring to the role a thorough understanding of how complex physical products are designed today, as well as a nuanced perspective on the capabilities and limitations of modern AI models and harnesses. You will be a key driver of our product strategy and execution, and as such you must be a true believer in our mission to build an engineering ASI for the physical world.
About the role:
Continuously map our ambitious vision into a focused product strategy and feature roadmap.
Embed with customers, understand their workflows, and inject customer use cases into the product roadmap.
Develop feature specifications and requirements alongside the engineering teams.
Work alongside engineering leaders to drive overall product architecture.
Lead product from emerging AI capability to trusted, sustained use in real engineering environments, setting a rigorous bar for performance, evals, reliability, and graceful failure modes.
Build and lead a world-class product team—while staying deeply hands-on with discovery, design, and delivery.
About you:
You have intimate familiarity with engineering design for some class of complex systems. If the complex systems align with our target product verticals: data center cooling and power systems, automotive, aerospace and defense—so much the better.
You are deeply embedded in the AI ecosystem and have a thorough understanding of how modern AI works, its limitations, and its failure modes.
You’ve taken an AI product from early capability to sustained customer adoption.
You love the 0->1 part of the journey, being hands on, attracting top talent, and motivating a team.
You share our conviction that AI building the physical world will be beneficial and transformative for the human experience.
Location:
Remote (US/Canada) or in-office in San Mateo, CA. Remote employees spend one week out of six working together on-site in our San Mateo office. Relocation support available.
Benefits:
Competitive salary, bonus, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:
Introductory call (30 mins)
Biographical/behavioural interview (45 mins)
Case study interview (60 mins)
CEO interview (30 mins)