software engineer

backend engineer - ai Jobs in San Francisco

backend engineer - ai

early career software engineer – applied ai Jobs in San Francisco

early career software engineer – applied ai

early software engineer Jobs in San Francisco

early software engineer

member of technical staff - machine learning engineer, agi autonomy Jobs in San Francisco

member of technical staff - machine learning engineer, agi autonomy

software engineer ai integrations

Asana

<div>
 The AI Integrations team is looking for an experienced software engineer to empower builders with the context and tools to deploy powerful workflows across people and apps. The team owns making workflows across apps powerful by using AI, context from third-party systems and our automation engine.
 <br/>
 <br/>
 This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 AI Studio is Asana&rsquo;s flagship AI product, our no-code automation engine platform that empowers teams to integrate AI-driven automation directly into their workflows, powering the world&rsquo;s largest companies&rsquo; important workflows. The AI Integrations team is a critical part of this product as workflows are accomplished by not only Asana but also other tools such as Slack, Gmail, Confluence, and many more.
 <br/>
 <br/>
 Our team sits at a unique intersection of product, platform, and ecosystem. We aim to build integration product features that delight end users with important context from their third-party systems. We also aim to build a platform for other developers to expose their integrations and relevant data to drive powerful AI workflows. You&rsquo;ll be solving customer problems with new product launches, and be a platform force multiplier for other Asana engineers, our customers, and the developer ecosystem.
 <br/>
 <br/>
 Our full-stack team is composed of integration experts and AI engineers who have worked across many different Asana product features. We move quickly and deliberately to unlock new features for our customers and own our integration product experiences end to end.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with a talented team of software engineers using cutting-edge AI models such as Claude 3.7, GPT-4.5, and o1.
  </li>
  <li>
   Collaborate with product to build develop robust, intuitive integrations in Asana&rsquo;s AI Studio.
  </li>
  <li>
   Design and implement reusable patterns in our backend platform, enabling internal and external developers to build and scale integrations within AI Studio quickly.
  </li>
  <li>
   Enable LLM-powered automation by integrating AI-driven actions into third-party tools such as Slack, Gmail, and Confluence, optimizing workflow efficiency.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You might thrive in this role if you:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience, working across the stack within large, well-maintained codebases.
  </li>
  <li>
   Are comfortable diving into third-party APIs and their documentation and understand their nuances.
  </li>
  <li>
   Have worked on full-stack building features that involve both UI and backend development.
  </li>
  <li>
   Are an excellent communicator and cross-functional collaborator.
  </li>
  <li>
   Engage with their teammates in a spirit of openness and curiosity.
   <br/>
   <br/>
  </li>
 </ul>
 At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
 <br/>
 <br/>
 <strong>
  What We&rsquo;ll Offer
  <br/>
  <br/>
 </strong>
 Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
 <br/>
 <br/>
 For this role, the estimated base salary range is between $171,00 - 209,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
 <br/>
 <br/>
 In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
 <br/>
 <br/>
 We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
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 <br/>
 <ul>
  <li>
   Mental health, wellness &amp; fitness benefits
  </li>
  <li>
   Career coaching &amp; support
  </li>
  <li>
   Inclusive family building benefits
  </li>
  <li>
   Long-term savings or retirement plans
  </li>
  <li>
   In-office culinary options to cater to your dietary preferences
   <br/>
   <br/>
  </li>
 </ul>
 These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
 <br/>
 <br/>
 <strong>
  Join Asana&rsquo;s Talent Network
 </strong>
 to stay up to date on job opportunities and life at Asana.
 <br/>
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</div>


Software Engineer, AI Integrations

Arcade

<div>
 <strong>
  About Arcade
  <br/>
  <br/>
 </strong>
 Arcade is building the world&rsquo;s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we&rsquo;re building the infrastructure to make that real.
 <br/>
 <br/>
 We&rsquo;ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
 <br/>
 <br/>
 Arcade is headquartered in San Francisco&rsquo;s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We&rsquo;re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we&rsquo;re building fast.
 <br/>
 <br/>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 As a Software Engineer at Arcade, you will work across our backend and AI systems to power the real-time, intelligent workflows that bring generative creation to life. You will own critical infrastructure, from model orchestration to caching layers to inference pipelines, and partner closely with AI research, product, and design to launch entirely new user experiences.
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 <br/>
 This role is for systems-minded builders who care about performance, reliability, and clarity. You will move quickly, work collaboratively, and ship ambitious products that define new creative possibilities. You&rsquo;ll be joining a fast-moving, highly technical team where engineers ship bold ideas quickly and own them end-to-end.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build scalable backend systems for model execution, prompt orchestration, agentic workflows, and real-time inference
  </li>
  <li>
   Own infrastructure for core user actions, including API design, job queues, caching, observability, and deployment
  </li>
  <li>
   Collaborate across AI research, product, and design to bring new capabilities into production
  </li>
  <li>
   Build core primitives for text-to-product creation, such as model pipelines, tool integrations, retrieval flows, and evaluation frameworks
  </li>
  <li>
   Continuously improve performance, latency, and stability across inference-heavy systems
  </li>
  <li>
   Contribute to a high-trust, high-velocity engineering culture
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We're Looking For Engineers Who
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have strong backend and infrastructure foundations and enjoy building fast, reliable systems
  </li>
  <li>
   Have experience owning production systems that interact with real users or real-world data
  </li>
  <li>
   Are excited about generative AI and have worked with LLMs, agent frameworks, vector search, or multimodal tools
  </li>
  <li>
   Move quickly from prototype to production and thrive in high-agency environments
  </li>
  <li>
   Care about product quality and user experience, even when working deep in the stack
  </li>
  <li>
   Bring energy, taste, and humility to everything they do
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A background in Computer Science, Engineering, Physics, Mathematics, or a similar field
  </li>
  <li>
   Must be available to start sometime between January and August 2026
  </li>
  <li>
   Experience building and scaling backend systems in production
  </li>
  <li>
   Proficiency with Python and backend frameworks such as Django or FastAPI
  </li>
  <li>
   Familiarity with cloud infrastructure tools like GCP, Kubernetes, Docker, and Pub/Sub
  </li>
  <li>
   Hands-on experience with LLM pipelines, model orchestration, or prompt tooling in production or personal projects
  </li>
  <li>
   Strong debugging, performance tuning, and system design skills
  </li>
  <li>
   Bonus: experience at early-stage startups, with generative AI products, or in creative tooling
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional
  <br/>
  <br/>
 </strong>
 Competitive compensation
 <br/>
 <br/>
 Lunch provided daily
 <br/>
 <br/>
 Company events
 <br/>
 <br/>
 Arcade is an equal opportunity employer. We&rsquo;re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
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</div>


Software Engineer

Wonderschool - a16z & Goldman

<div>
 <strong>
  About Wonderschool
  <br/>
  <br/>
 </strong>
 Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
 <br/>
 <br/>
 We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You&rsquo;ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.
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 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
  </li>
  <li>
   Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
  </li>
  <li>
   Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
  </li>
  <li>
   Debug and troubleshoot technical issues to ensure platform stability.
  </li>
  <li>
   Stay current with emerging technologies and best practices in software engineering and AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
  </li>
  <li>
   Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
  </li>
  <li>
   Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  </li>
  <li>
   Basic understanding of cloud platforms like Google Cloud Platform and AWS.
  </li>
  <li>
   Excellent communication skills and ability to work in a collaborative, in-person environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
  </li>
  <li>
   Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
  </li>
  <li>
   Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Compensation: Expected salary range is $100K&ndash;$120K annually, based on experience and location.
  </li>
  <li>
   Health Benefits: 100% coverage for employee premiums and 80% for dependents.
  </li>
  <li>
   Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
  </li>
  <li>
   Parental Leave: Competitive policies eligible after six months of employment.
  </li>
  <li>
   Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.
   <br/>
   <br/>
  </li>
 </ul>
 Wonderschool&rsquo;s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.
 <br/>
 <br/>
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
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 <br/>
 The first five years of a child&rsquo;s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.
</div>


Early Career Software Engineer – Applied AI

TechTree

<div>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Delve automates compliance for hundreds of fast-growing startups &mdash; companies like Lovable, 11x, and Wispr Flow rely on Delve to eliminate busywork and ship securely. Backed by Insight Partners, General Catalyst, and Y Combinator, Delve recently raised a $32M Series A and is rapidly scaling its engineering team. Our founders and engineers come from OpenAI, Stanford, MIT, and Berkeley, united by the goal of automating tedious work at scale.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Seeking a New Grad/Early Software Engineer to ship features, contribute to AI systems, and work across the stack with mentorship from senior engineers. Must relocate to SF and work in-person.
 <br/>
 <br/>
 We&rsquo;re looking for a New Grad/Early Software Engineer &mdash; someone technically sharp, hungry, and ready to learn fast. You&rsquo;ll ship production-grade features alongside senior engineers, contribute to AI-powered systems, and work across the stack (React, TypeScript, Node.js).
 <br/>
 <br/>
 Expect autonomy, live mentorship from ex-OpenAI engineers, and the chance to build impactful products from day one.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ship features across the stack with mentorship from senior engineers
  </li>
  <li>
   Contribute to AI-driven product features in production
  </li>
  <li>
   Rapidly prototype ideas, test with users, and iterate fast
  </li>
  <li>
   Write clean, maintainable code and own small projects end-to-end
  </li>
  <li>
   Work in-person daily with a high-context, fast-moving team
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s in CS or related field from Stanford, MIT, Berkeley, Harvard, or Northeastern
  </li>
  <li>
   Strong coding skills in Python or TypeScript
  </li>
  <li>
   Evidence of independent projects, hackathon wins, or open-source contributions
  </li>
  <li>
   SF-based or willing to relocate (in-person, 5 days/week)
  </li>
  <li>
   Green-carpet GitHub candidates / &ldquo;cracked&rdquo; engineers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Python
  </li>
  <li>
   TypeScript
  </li>
  <li>
   React
  </li>
  <li>
   Node.js
  </li>
  <li>
   AI-driven product development
  </li>
  <li>
   Prototyping
  </li>
  <li>
   Clean code writing
  </li>
  <li>
   Project ownership
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   100% medical, dental &amp; vision coverage (for you; partial for dependents)
  </li>
  <li>
   401(k) with employer match
  </li>
  <li>
   Unlimited PTO + federal holidays
  </li>
  <li>
   GrubHub stipend + all meals covered in-office
  </li>
  <li>
   Gym membership covered
  </li>
  <li>
   Frequent team dinners, events, and off-sites
  </li>
  <li>
   The opportunity to eliminate busywork for humanity
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Team members
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   founders and engineers from OpenAI, Stanford, MIT, and Berkeley
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Salary:
 </strong>
 150000 - 250000 USD
</div>


Early Software Engineer

Cognition

<div><h2 class="jobSectionHeader"><b>We are an applied AI lab building end-to-end software agents.</b></h2><p>
Software is how the modern world runs&mdash;but there's not enough of it, and too much of what exists isn't good enough. Banks and governments still run COBOL from the 1970s. Budgets go to technical debt and maintenance instead of the features customers actually want. The bottleneck has always been the same: engineering talent is scarce and expensive, and budgets only stretch so far.</p><p>
AI agents make it possible to build more software, faster, at higher quality&mdash;and Cognition is at the center of that shift. We built Devin, the first AI software engineer, and we're working with some of the world's largest enterprises to fundamentally expand what their engineering organizations can deliver. We went from $1 to $X00M in revenue in a year, and are backed by some of the world&rsquo;s top investors, including Founders Fund, General Catalyst, Lux Capital, and 8VC.</p><p>
Your job is to tell that story.</p><p>
You'll shape how Fortune 500 CTOs, CIOs, and engineering leaders understand this moment&mdash;why AI agents matter now, what's actually possible, and why they should partner with Cognition. You'll translate a fast-moving technical landscape into narratives that are clear, precise, and compelling.</p><p><b>
You'll work across two areas:</b></p><p><i>
Enterprise Narrative &amp; Thought Leadership</i></p><ul><li><p>
Build the frameworks and language that help executives understand AI agents</p></li><li><p>
Develop content for keynotes, executive briefings, and convenings with leaders at the world's largest organizations</p></li><li><p>
Communicate Cognition's point of view on the market</p></li></ul><p><i>
Enterprise Product Marketing</i></p><ul><li><p>
Deeply understand enterprise buyers&mdash;segment by industry, persona, and use case</p></li><li><p>
Build the core collateral to communicate value: decks, talk tracks, case studies, customer stories, launch narratives</p></li><li><p>
Lead how we bring enterprise products to market</p></li></ul><p><b>
You should be:</b></p><ul><li><p>
An exceptional writer who can hold a busy executive's attention - ROI-focused, honest, and concise</p></li><li><p>
Obsessed with deeply understanding the buyer: enterprise technical leaders selecting partners who can actually deliver ROI amid great organizational and technical complexity</p></li><li><p>
A systems thinker who can distill technical and business complexity into actionable frameworks and operate at different levels of abstraction</p></li><li><p>
Genuinely curious about technology and able to stay current in a landscape that moves weekly. Technical degree is a bonus, but not required.</p></li><li><p>
Comfortable owning projects end-to-end, from strategy to execution</p></li></ul><p><b>
Ideal Profile</b></p><ul><li><p>
6+ years of experience total; 2-3+ years in a role that required translating technical complexity into business or real-world outcomes (e.g. marketing, bizops, product, deployment strategy, journalism, policy)</p></li><li><p>
Experience marketing AI, developer tools, data infrastructure, or complex technical products to enterprise buyers is a plus</p></li><li><p>
Experience working with executives - either as a chief of staff, in corporate strategy, or in a marketing role with exec-level stakeholders.</p></li><li><p>
Eagerness to work hard</p></li><li><p>
Based in SF or NYC</p></li></ul><p>
You&rsquo;ll be one of the first marketing hires at Cognition, helping to build the function from scratch.</p></div>

Enterprise Product Marketing Manager

Train With Ellie

<div><div><div><b>About </b><b>Owner.com</b></div><div>
Owner is the AI growth system for local restaurants.<br>
</div><div></div><br>
<div>Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts.<br>
</div><div></div><br>
<div>Owner is like having an army of engineers and marketers on your side, just like the big chains.</div><div></div><div><br>
 <b>Our vision</b></div><div>
We&rsquo;re starting by helping independent restaurants succeed online.</div><div></div><div><br>
But it&rsquo;s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive.</div><div></div><div><br>
Once we nail the solution for restaurants &ndash; we&rsquo;ll scale it into every other local business type.</div><div></div><div><br>
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age.</div><div></div><div><br>
Read our Series C memo here<br>
 </div><div></div><br>
<br>
<div><b>Our traction</b></div><div>
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website.</div><div></div><div><br>
More importantly, we&rsquo;ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees.</div><div></div><ul><li><br>
<b>Our team</b></li></ul><div>
Our team is now in the low hundreds. We&rsquo;ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe.</div><div></div><div><br>
We&rsquo;ll be scaling even faster in 2026 to keep pace with our customer growth.</div><div></div><div><br>
 <b>Where we work</b></div><div>
Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location!</div><div></div><div><br>
 Why we&rsquo;re looking for you</div><div>
We&rsquo;re looking for a Device Lab Engineer to build and run Owner&rsquo;s device testing lab for our new POS product line. This lab will be the source of truth for validating hardware and software combinations across tablets, routers, card readers, printers, and other peripherals, and ensuring every release works across the real-world matrix our restaurants depend on.</div><div></div><div><br>
You&rsquo;ll be our first dedicated lab hire: an individual contributor who can bring structure, speed, and confidence to a fast-moving hardware + software environment. This role sits at the intersection of product engineering, QA, and operations &mdash; and will help define the standard for what &ldquo;ready to ship&rdquo; means for Owner POS.</div><div></div><div><br>
This is a hybrid role located in San Francisco, California.</div></div>
<div><div><h3 class="jobSectionHeader"><b> The impact you will have</b></h3><ul><li><ul><li>
Own the device lab end-to-end: procure, provision, organize, and maintain a fleet of POS tablets, networking equipment, payment devices, printers, and related peripherals.</li><li>
Define and execute device validation plans across changing variables including: hardware models and revisions device configuration and provisioning states OS versions and patch levels Owner POS application versions peripheral firmware and connection types (USB, Bluetooth, Wi-Fi, Ethernet)</li><li>
Build and maintain a testing matrix that captures supported and in-progress combinations; continuously expand coverage as we add new devices and markets.</li><li>
Create and evolve SOPs for hardware/software testing, device setup, troubleshooting, and re-qualification when any variable changes.</li><li>
Run regression and acceptance testing for POS releases, peripheral integrations, and OS/firmware updates; clearly document results and risks.</li><li>
Investigate and root-cause device issues by reproducing bugs in the lab, isolating variables, and partnering with engineering to land fixes.</li><li>
Partner cross-functionally with POS Engineering, Mobile/Backend, Payments, Support, and Product to drive lab priorities and release readiness.</li><li>
Improve lab efficiency over time, including lightweight automation for repeatable test flows, inventory tracking, and device health monitoring.</li><li>
Help define lab strategy as we scale: what to standardize, what to automate, and what future hires or tooling will be needed.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>&#9989; What we&rsquo;re looking for</b></h3><ul><li><ul><li>
3+ years in device, hardware, systems, or integration testing - ideally in POS, payments, mobile, IoT, or consumer electronics.</li><li>
Hands-on experience testing integrated hardware + OS + application + peripherals in real device environments (not just simulators).</li><li>
Experience using or administering Mobile Device Management (MDM) solutions to provision, configure, secure, and maintain fleets of tablets/devices (e.g., Esper, Microsoft Intune, VMware Workspace ONE (AirWatch), Jamf, Kandji, SOTI MobiControl, Scalefusion, or Hexnode, or similar).</li><li>
Comfortable with device provisioning, OS flashing/updating, firmware management, and peripheral bring-up.</li><li>
Experience building test automation for hardware/device workflows (even small scripts or harnesses).</li><li>
Track record of defining, documenting, and maintaining SOPs for test labs or hardware/software validation processes.</li><li>
Strong instinct for building clear test matrices, prioritizing risk-based coverage, and spotting gaps before they ship.</li><li>
Strong debugging skills: logs, repro steps, variable isolation, and communicating findings clearly to engineers.</li><li>
Organized, detail-oriented lab operator who can manage inventory, keep environments consistent, and maintain high signal test results.</li><li>
Ability to thrive in ambiguity and build new functions from zero to one.</li></ul></li></ul></div></div><br>
<div></div>
<div><div><h3 class="jobSectionHeader"><b>
 Pay and benefits</b></h3><ul><li><ul><li>
The estimated base salary range for this role is $190,000 - $230,000 plus a generous pre-IPO equity package</li><li>
Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks!</li></ul></li></ul></div></div><div><div><br>
</div><div><b>
 Notice - Employment Scams</b></div><div>
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.</div><div>
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as &quot;phishing&quot; or &ldquo;spam&rdquo; and do not respond.</div></div></div>

Senior Device Lab Engineer

Stealth Startup

<div>
 <p>
  Based in San Francisco, we're an early-stage startup using advanced AI agents to meaningfully speed up clinical research. Our technology engages directly with patients &mdash; guiding them through qualification, enrollment, and long-term participation &mdash; helping research teams eliminate enormous operational waste and address one of the biggest chokepoints in drug development.
 </p>
 <p>
  After bootstrapping our way to several major enterprise wins, we closed a multi-million dollar seed round backed by well-known investors. We&rsquo;re now assembling a small, exceptional engineering team to take the platform to the next level.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;ve Already Built
  </strong>
 </p>
 <p>
  Our AI agents currently manage
  <strong>
   100K+ patient interactions each month
  </strong>
  , including:
 </p>
 <ul>
  <li>
   Guiding people to appropriate studies based on clinical criteria
  </li>
  <li>
   Collecting and verifying required study information on an ongoing basis
  </li>
  <li>
   Offering round-the-clock support to reduce participant drop-off
  </li>
  <li>
   Continuously adapting based on real-world trial outcomes
  </li>
 </ul>
 <p>
  We spent months working inside research sites to understand the day-to-day reality of the problem, and that groundwork has helped us expand quickly across the clinical research ecosystem.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;ve Accomplished (Pre-Funding)
  </strong>
 </p>
 <ul>
  <li>
   🚀 Rapid month-over-month growth, including multiple six-figure contracts
  </li>
  <li>
   💼 Largest active agreement exceeds $600K annually
  </li>
  <li>
   🥇 Over a 90% success rate in commercial evaluations &mdash; we&rsquo;ve never been displaced by a competitor
  </li>
  <li>
   🧬 Multiple pilots underway with top-tier pharmaceutical organizations
  </li>
  <li>
   📈 Pipeline grows consistently via word-of-mouth from current partners
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Be Building
  </strong>
 </p>
 <ul>
  <li>
   Systems that coordinate a large network of AI agents across hundreds of concurrent studies
  </li>
  <li>
   Machine learning models that match patients to trials based on real clinical outcomes
  </li>
  <li>
   Multi-channel communication layers (voice, SMS, email) powered by LLMs
  </li>
  <li>
   Integrations with older healthcare systems that lack modern APIs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who You Are
  </strong>
 </p>
 <p>
  We&rsquo;re looking for founding engineers who want to own massive parts of the product, thrive in high-velocity environments, and are excited to help reinvent how clinical research operates.
 </p>
 <p>
  If you want to make a measurable impact on how quickly breakthrough therapies reach patients &mdash; while working at a company with real traction and a massive mission &mdash; we&rsquo;d love to connect.
 </p>
</div>


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