clinical research intern Jobs in San Francisco

clinical research intern

ai/ml intern

ai ml intern

Loop

<div>
 
 About Loop
 
 
 
 Loop is on a mission to unlock profits trapped in the supply chain (https://loop.com/article/unlock-profit-trapped-in-your-supply-chain) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder.
 
 
 Loop&rsquo;s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop.
 
 
 Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.
 
 
 
 About The Role
 
 
 
 Loop is growing its AI team and you&rsquo;ll have the opportunity to build both AI models and features that directly impact Loop&rsquo;s business. Loop is positioned to disrupt the incumbent freight audit and pay market, and is one of the companies leading the AI services wave, utilizing AI to automate complex back-office workflows and tasks. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. The range of work here is broad, you can work on everything from training and deploying in-house multimodal LLMs, scaling our inference infrastructure, or building out and shipping agentic workflows. In doing so, you&rsquo;ll have the opportunity to define how the AI and broader Loop team will grow.
 
 
 
 What you will work on
 
 
 
 Our primary focus has been on document extraction and understanding, where we utilize multimodal LLMs, including our own in-house foundation model, to extract, normalize, and link data together into our domain model. As Loop&rsquo;s customers rely on Loop to ingest and normalize highly accurate data, we hold ourselves to a high standard to build models with a very high level of accuracy. In tandem, Loop&rsquo;s machine learning platform requires a high degree of reliability and scalability, and we expect our training and inference volume to scale several orders of magnitude in the coming year. Going forward, Loop will expand its AI capabilities, expanding into other areas such as workflow automation and audit, where we will utilize agents to tackle these problems.
 
 
 This role spans multiple domains:
 
 
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 ML modeling &ndash; training, evaluating, and deploying models.
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 AI engineering &ndash; utilizing and orchestrating API LLM models to build agents to solve business problems at Loop.
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 Backend engineering &ndash; building out frameworks to enable AI agents at scale.
 
 
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 Qualifications
 
 
 
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 1+ years of hands-on experience in deep learning frameworks (e.g., PyTorch, Tensorflow, etc.) or shipping agents to production.
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 Solid understanding of fundamental ML algorithms, especially multimodal LLMs.
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 Experience fine-tuning LLMs and deploying them to production or building out agentic systems.
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 Ability to ship high-quality code to production.
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 Experience in cloud environments (AWS, Google, Azure).
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 Strong communication skills and willingness to collaborate in a cross-functional team environment with domain experts.
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 Keep up to date with the latest AI research.
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 Ability to work in a fast-paced environment.
 
 
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 </ul>
 
 Compensation
 
 
 
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 Base pay 130k - 200k
 
 
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 Benefits &amp; Perks
 
 
 
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 Premium Medical, Dental, and Vision Insurance plans
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 Insurance premiums covered 100% for you
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 Unlimited PTO
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 Fireside chats with industry leading keynote speakers
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 Off-sites in locales such as Napa and Tahoe
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 Generous professional development budget to feed your curiosity
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 Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships
 </li>
 </ul>
</div>

AI Engineer

Samba TV

<div>
 
 
 Samba is a media intelligence company. We know what the world is watching, reading, and thinking about &amp;mdash; in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it&rsquo;s the most interesting data asset on the planet, because it&rsquo;s the most culturally relevant.&nbsp;
 
 
 
 
 
 
 
 
 
 
 ABOUT THE ROLE
 
 
 
 
 
 
 We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products.&nbsp;
 
 
 
 
 
 The role requires a deep, first-principles understanding of data science and machine learning &amp;mdash; not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role &amp;mdash; you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions.
 
 
 
 
 
 You will work closely with Data Engineering, Product, and go-to-market teams.
 
 
 
 
 
 
 
 
 
 WHAT YOU'LL DO
 
 
 <ul>
 
 <li>
 
 
 
 Write and own production-quality Python code end-to-end &amp;mdash; well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets
 
 
 
 </li>
 
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 Design, build, and deploy measurement models and statistical frameworks that power Samba&rsquo;s campaign measurement, reach/frequency estimation, and cross-platform attribution products
 
 
 
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 Apply the right statistical and ML technique to the right problem &amp;mdash; drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage &amp;mdash; and clearly articulate the reasoning behind your choices
 
 
 
 </li>
 
 <li>
 
 
 
 Build and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods &amp;mdash; counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation &amp;mdash; to advertising and viewership measurement problems
 
 
 
 </li>
 
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 Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready
 
 
 
 </li>
 
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 Lead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team
 
 
 
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 Mentor junior Data Scientists through code review, pairing, and structured technical feedback &amp;mdash; raising the team's technical floor
 
 
 
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 Communicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients
 
 
 
 </li>
 
 </ul>
 
 
 
 
 
 WHO ARE YOU
 
 
 <ul>
 
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 5-7 years of professional data science experience &amp;mdash; hands-on, delivery-focused, and measurable in shipped models and production systems
 
 
 
 </li>
 
 <li>
 
 
 
 Expert-level Python &amp;mdash; clean, modular, testable, production-ready code is your standard, not your aspiration
 
 
 
 </li>
 
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 Advanced PySpark and Databricks &amp;mdash; comfortable building and optimizing data pipelines and ML workflows on billion-row datasets
 
 
 
 </li>
 
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 Deep, first-principles command of statistics and ML &amp;mdash; you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions
 
 
 
 </li>
 
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 Solid grasp of experimental design &amp;mdash; A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate
 
 
 
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 Fluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production
 
 
 
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 Hands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes
 
 
 
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 Strong ownership mindset &amp;mdash; you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding.
 
 
 
 </li>
 
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 Clear communicator &amp;mdash; able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership
 
 
 
 </li>
 
 </ul>
 
 
 <ul>
 
 <li>
 
 
 
 Experience with multi-touch attribution (MTA) or multi-channel attribution modeling &amp;mdash; understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives
 
 
 
 </li>
 
 <li>
 
 
 
 Hands-on experience with Causal ML methods &amp;mdash; counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation &amp;mdash; applied to advertising or media measurement outcomes
 
 
 
 </li>
 
 <li>
 
 
 
 Direct exposure to TV or digital viewership data &amp;mdash; ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT)
 
 
 
 </li>
 
 <li>
 
 
 
 Familiarity with the measurement
 
 
 
 </li>
 
 <li>
 
 
 
 t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks)
 
 
 
 </li>
 
 <li>
 
 
 
 Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field &amp;mdash; or equivalent depth demonstrated through work
 
 
 
 </li>
 
 </ul>
 
 
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
 &nbsp;
 
 
 
 
 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
 .
 
 
 For residents of the EU , Samba Inc. is the data controller.
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 Samba expects to offer a base salary between
 
 $150,000 - $180,000 USD
 
 per year for roles to be performed in San Francisco or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
</div>

Data Scientist

AWARE HEALTH

About Aware HealthEvery day, 50% or more of the workforce show up to work with pain, joint stiffness, muscle strain, or other physical impairments due to musculoskeletal (MSK) and orthopedic conditions. Too often, these conditions are misdiagnosed and treated passively with opioids, injections or costly surgeries. These expensive and risky treatment methods can often be avoided altogether with more modern approaches to preventing, diagnosing and treating MSK pain.At Aware Health, our mission is to empower individuals to reach their goals through compassionate care, accurate diagnostics and precision treatment. We are a team of learners and collaborators driven by results and integrity. Our AI-powered platform ensures patients get the right care&mdash;avoiding inappropriate and frequently unnecessary tests, drugs, and surgeries.We are growing rapidly and looking for ambitious candidates who are excited to embrace the challenges of a startup environment while improving the health of millions of people.About the JobWe are looking for a highly-motivated and hands-on Director of Engineering with experience working in a fast-paced startup environment and a track record of building reliable, scalable systems that power AI-driven experiences. Flexibility, proactivity, and a healthy sense of urgency are vital to this role. You will work closely with our cross-functional teams to design, engineer, and deliver technology solutions.You will need expertise in software engineering and system design, with proficiency in Golang (our main backend), and TypeScript. You have solid experience working with AI toolsets, LLMs, inference engineering, and building AI-powered solutions. Our tech stack includes Golang, TypeScript, Python, Postgres, BigQuery, LangChain, AWS, GCP, and AI/ML models.This is not a pure management role, and we are specifically looking for someone with the experience to manage development workflows and infrastructure decisions while remaining actively involved in the codebase and day-to-day technical execution. Your ability to be hands-on is important &mdash; we are a small but mighty engineering team, and everyone is responsible for delivering code, with the assistance of AI coding tools. That being said, you will be responsible for managing the quality and maintainability of our code, and minimize AI slop.Our culture is ambitious yet humble, and we care greatly about the impact we make. This is not a remote role&mdash;we are hiring only in the San Francisco Bay Area (or relocation) as we value in-person collaboration, requiring three days per week from our downtown San Francisco office. While we prioritize well-being, we are not a 9-to-5 culture, and at times critical deadlines may require extra effort. We balance high-impact work with time to recharge.We are looking for smart, driven people. Please consider applying if you believe you are a strong candidate, even if you don't check off all our requirements below.Direct applicants only &mdash; we are unable to respond to recruiters or agencies.Key Responsibilities:<ul><li>Design, build, and maintain software and technology systems across the full stack, with an emphasis on backend and core platform services</li><li>Lead and mentor a small team of software engineers</li><li>Manage development lifecycles, release cadence, and engineering productivity</li><li>Collaborate closely with product, clinical, customer success, and sales to prioritize requests, translate into requirements, and deliver solutions</li><li>Be hands-on (in a hybrid role) delivering code, technical design, and product features in addition to engineering leadership</li><li>Build orchestration layers that connect data sources, services, models, and downstream product capabilities</li><li>Build clean, well-structured GraphQL and RESTful APIs</li><li>Assist with security compliance and technical safeguards</li><li>Be an advocate and driver for agentic workflows and AI automation that amplify our humans and drive efficiency</li></ul>Required Qualifications:<ul><li>Energized to work in ambiguous, fast-paced startup cultures, operates with a sense of urgency, and isn't discouraged by being in an environment where we don't have it all figured out yet</li><li>Expertise with Golang, TypeScript, SQL and database schemas</li><li>Experience managing cloud-based production environments and infrastructure</li><li>Hands-on experience building with LLMs (Anthropic, OpenAI, HuggingFace, etc)</li><li>Hands-on experience building with agentic frameworks (LangGraph/LangChain, Crew, etc)</li><li>Solid understanding of event-driven architectures and distributed systems</li><li>Genuine excitement about AI and its possibilities &mdash; with an open and curious mindset that drives experimentation, creativity, and trying new things</li><li>4+ years of experience working as a software engineer or similar role, with 2+ years leading/managing software engineering teams</li></ul>Bonus Qualifications:<ul><li>Experience in Python including managing production Python environments/infrastructure</li><li>Experience implementing safety guardrails, security, and/or compliance requirements</li><li>Experience with crafting agentic memory solutions, building autonomous &quot;always-on&quot; agentic workflows, and post-training LLM models</li><li>Experience with machine learning and deploying/training AI/ML models</li><li>Some preference for candidates with a background in digital health</li></ul>Benefits:<ul><li>Early equity stake in a fast-growing startup (pre Series A)</li><li>Medical (PPO, HMO, HDHP), dental and vision</li><li>FSA administration</li><li>Life Insurance</li><li>Short/long term disability</li><li>Employee Assistance Program (EAP)</li><li>Commuter benefits</li><li>401K</li><li>On-site gym</li></ul>How to ApplyDirect applicants only &mdash; we are unable to respond to recruiters or agencies.This is not a remote role, and requires 3 days a week in our San Francisco office.Answer the following questions in your cover letter (this should go without saying, but these days it's worth mentioning: best to write your own responses rather than using AI-generated answers):<ul><li>Tell us in 2-4 paragraphs about a relevant recent project you led, where you had an outsized impact on. Tell us about your team, but give details on your direct contributions, and not just what the team did as a whole.</li><li>Tell us in 2-4 paragraphs about a project you successfully delivered, but encountered challenges working with cross-functional teams. Tell us what those challenges were, and how you resolved them. Include lots of details, to help us gauge your ability to work with internal teams, lead through challenges and still deliver results.</li></ul>We are an Equal Opportunity Employer - We celebrate diversity and believe it is the key to creating vibrant, healthy communities. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability status, sexual orientation, gender identity, military, protected veteran status or other status protected by law.Pay: $180,000.00 - $200,000.00 per yearWork Location: In person

Director of Engineering

OpenAI

About the Team
 
The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely.
 
The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting.
 
About the Role
 
We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems.
 
You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity.
 
In This Role, You Will
 
Lead and grow a high-performing Trust & Safety Data Engineering team.
 
Define the roadmap and technical strategy for Trust & Safety data systems.
 
Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring.
 
Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting, evaluation, and production inputs.
 
Establish ownership, documentation, data quality standards, monitoring, and operational rigor for critical datasets and workflows.
 
Reduce dependence on sensitive raw logs by building structured alternatives with appropriate access controls, retention, deletion semantics, and governance.
 
Partner with Trust & Safety, Product, Policy, Privacy, Data Science, Engineering, and Data Platform on launch readiness, operational systems, and safety measurement.
 
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
 
You Might Thrive in This Role If You
 
Have led data engineering teams that build and operate production data systems at scale.
 
Experience in trust and safety, integrity, abuse prevention, fraud, investigations, risk operations, safety systems, privacy, or adjacent domains.
 
Are deeply technical and comfortable with data architecture, modeling, pipelines, reliability, privacy, and operational tradeoffs.
 
Have experience with large-scale data systems such as Spark, Airflow or similar orchestration systems, distributed storage, batch/streaming pipelines, and modern warehouse patterns.
 
Think of data as a product: reliable, documented, governed, observable, discoverable, and designed for repeated use.
 
Can create clarity in ambiguous problem spaces and make principled tradeoffs quickly.
 
Have a strong track record partnering with senior stakeholders across engineering, data science, operations, policy, privacy, product, or executive teams.
 
Have hired, developed, and retained senior engineers.
 
Are motivated by building systems that make frontier AI products safer and more trustworthy.
 
Nice to Have
 
Experience supporting ML systems through feature engineering, training data, labels, model evaluation, or production model pipelines.
 
Experience with launch readiness, monitoring, alerting, incident response, semantic layers, metrics governance, or executive-facing reporting.
 
Workplace & Location
 
This role is based in our San Francisco HQ. We offer relocation assistance to new employees.
 
Please note: this role may involve work related to sensitive or concerning safety, abuse, fraud, or user-risk domains. Strong discretion, judgment, and resilience are essential.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$385K – $490K + Offers Equity

Technical Lead Manager, Data Engineering, Trust & Safety

<div>
 
 About Zip
 
 
 
 Zip is the AI platform for enterprise procurement &mdash; built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before.
 
 
 The world&rsquo;s most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they&rsquo;ve saved over $8 billion and processed over $500 billion in spend. Zip&rsquo;s team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA.
 
 
 Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups.
 
 
 We&rsquo;re looking for a passionate
 
 Software Engineer, Frontend (Mid-level to Senior)
 
 to help us build beautiful, performant, and scalable user-facing experiences. In this role, you&rsquo;ll take ownership of our core frontend architecture and ship features that have a direct and immediate impact on our customers.
 
 
 You'll collaborate closely with a highly skilled, cross-functional team that values thoughtful design, fast iteration, and clean, maintainable code. Our engineers have a high degree of autonomy and are trusted to take features from concept to production, all while contributing towards improving our frontend practices as a company.
 
 
 
 You will
 
 
 
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 Design and build highly reliable and resilient products and features.
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 Work closely with cross functional product and customer-facing teams to understand requirements and ship thoughtful solutions.
 </li>
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 Write high-quality, extensible, and maintainable code.
 </li>
 <li>
 Design and build scalable frontend applications and components.
 </li>
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 Design and build APIs to drive existing and new features for a web-based application.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience in modern web app development
 </li>
 <li>
 BS or higher, in Computer Science or technical field
 </li>
 <li>
 Proficiency in React, TypeScript, browser APIs, and performance optimization
 </li>
 <li>
 Experience with web application and API development in production environments. At Zip, our stack includes Python, Typescript, React, and GraphQL.
 </li>
 <li>
 Experience with industry standard build, test, deploy tools. At Zip, we work with: Kubernetes, Spinnaker, Jenkins, Segment, Github Actions, Datadog, Bugsnag and Fullstory.
 </li>
 <li>
 Ability and interest to quickly learn new frameworks and architecture patterns as needed
 </li>
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 Experience working at a small company with diverse responsibilities is a bonus, but not required.
 </li>
 <li>
 Exposure to AI-driven automation or interest in working with AI/ML teams to build intelligent workflows.
 
 
 
 </li>
 </ul>
 The salary range for this role is $150,000 - $220,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.
 
 
 
 Perks &amp; Benefits
 
 
 
 At Zip, we&rsquo;re committed to providing our employees with everything they need to do their best work.
 
 
 <ul>
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 📈 Start-up equity
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 🦷 100% health, vision &amp; dental coverage options
 </li>
 <li>
 🍽️ Catered breakfast, lunch, &amp; dinner
 </li>
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 🌴 Flexible PTO
 </li>
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 🏋️&zwj;&female;️ ClassPass membership
 </li>
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 🚍 Monthly commuter benefit
 </li>
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 🚠 Team building events &amp; happy hours
 </li>
 <li>
 💻 Home office stipend
 </li>
 <li>
 🛜 Phone/internet reimbursement
 </li>
 <li>
 🍼 Paid parental leave
 </li>
 <li>
 🧑&zwj;🧑&zwj;🧒&zwj;🧒 Fertility stipend
 </li>
 <li>
 💸 401k plan
 </li>
 <li>
 🤖 Unlimited AI token usage
 
 
 
 </li>
 </ul>
 
 We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
 
</div>

Software Engineer, Frontend (All Levels)

nclouds

<div>San Francisco...This AWS Role Is For You.

If you thrive in the field, build trust quickly with AWS sellers, and know how to turn AOs into revenue, this is the role built for you. We&rsquo;re looking for a Senior Account Executive with AWS Partner Sales experience to represent nClouds. This is not an inside sales role, it&rsquo;s a true field motion where success is earned through presence, relationships, and execution.

As an AWS Premier Tier Services Partner, nClouds wins by being side-by-side with AWS AEs, DMs, and PSMs to identify opportunities, build pipeline, and deliver outcomes that matter. You&rsquo;ll collaborate directly with AWS field teams, drive the full co-sell cycle from AO close, and help customers accelerate their journey on AWS.

If the AWS field knows your name, you&rsquo;re trusted in the ecosystem, and you're looking for a high-impact role with the autonomy to win, let&rsquo;s talk.

Qualifications &amp; Requirements

Candidates must meet the following criteria to be considered:
<ul>
<li>Mandatory AWS Ecosystem Experience</li>
<li>Direct experience working with AWS -either as an AWS employee or in a sales role for an AWS Consulting or ISV Partner, with proven collaboration across AWS Start-up, SMB, or Enterprise segment sales teams</li>
<li>Existing AWS field relationships, including with AWS Account Executives and Partner Sales Managers (PSMs)</li>
<li>Strong understanding of the AWS co-sell motion, including ACE registration, AO lifecycle, and familiarity with AWS funding programs</li>
<li>Demonstrated ability to generate AOs and convert them into booked revenue through consistent engagement, follow-up, and joint customer interaction</li>
<li>Must have AWS technology sales experience, ideally in consulting or professional services within the AWS ecosystem</li>
<li>Proven ability to earn trust and build long-term relationships with AWS sellers and customer executives</li>
<li>Strong knowledge of AWS-based Data, Analytics, AI/ML, and Cloud Transformation solutions</li>
<li>Excellent communication, negotiation, and executive presentation skills; ability to represent nClouds as a trusted AWS Premier Partner</li></ul> 


Location &amp; Presence Expectations
<ul>
<li>Must be based in, or able to commute regularly to the San Francisco, Los Angeles, and Seattle AWS hubs.</li>
<li>Expected to be onsite in AWS offices at least 2 days per week to collaborate with AWS and internal teams (with flexibility for remote work for the remainder)</li>
<li>Ability to travel up to 50% for AWS, customer, and industry engagements</li>
<li>Candidates without prior AWS or AWS-partner experience will not be considered.</li></ul></div>

Senior Account Executive

Pallet

<div><div>About Pallet
Pallet is building AI Agents to transform logistics &mdash; a $12 trillion global industry. We've raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we've achieved 700% revenue growth and are just getting started.

Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down &mdash; from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.

As logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company in logistics.

Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech.</div>
$195,000 - $265,000 
Full-time / Onsite (5 days/week)

About The Role

Pallet is building AI infrastructure for logistics: systems that coordinate real warehouses, freight networks, and supply chains. We're looking for a founding engineer to build the security and platform foundations of the company from the ground up.

This is a hands-on software engineering role. You will write production code, design infrastructure, and establish the systems that make Pallet secure, reliable, and scalable. The decisions you make today will become the defaults the company operates on for years.

Security at Pallet is not a separate function or compliance layer. It is a design constraint embedded directly into the systems we build. We want someone who naturally asks:
<ul>
<li>What happens when this fails?</li>
<li>Who should have access to this?</li>
<li>How do we reduce the blast radius?</li>
<li>Can we eliminate this problem entirely?</li>
<li>And then builds the answer.</li>
</ul>
You'll work alongside engineers who trained production AI systems at Scale AI, built logistics infrastructure that powers millions of deliveries at DoorDash, and scaled financial tooling used by thousands of businesses at Rippling. Small team. High ownership. Large surface area.

What You'll Do
<ul>
<li>Build and maintain the core platform services that power Pallet's AI systems and developer workflows</li>
<li>Design and implement authentication, authorization, secrets management, and access control systems</li>
<li>Build infrastructure that operates reliably across regions and environments with clear isolation boundaries and disaster recovery capabilities</li>
<li>Improve observability, monitoring, and operational tooling so engineers can confidently understand and debug production systems</li>
<li>Develop internal platforms and abstractions that allow product engineers to move quickly without compromising security or reliability</li>
<li>Partner with AI and product engineering teams to support model training, evaluation, and inference infrastructure</li>
<li>Identify systemic risks and eliminate entire categories of operational, security, and reliability problems</li>
<li>Own projects from architecture through production rollout</li>
</ul>
Who You Are
<ul>
<li>6+ years of software, backend, infrastructure, or platform engineering experience</li>
<li>Strong software engineering fundamentals and a track record of shipping production systems</li>
<li>Experience building security-sensitive systems, including authentication, authorization, secrets management, or infrastructure security</li>
<li>Strong understanding of cloud infrastructure, containers, networking, and distributed systems</li>
<li>Experience designing platforms, tooling, or abstractions that other engineers depend on</li>
<li>Comfortable moving from a blank document to a production deployment with minimal oversight</li>
<li>High ownership and strong engineering judgment</li>
<li>You write code every day and want to continue doing so</li>
</ul>
Nice To Haves
<ul>
<li>Experience at an early-stage startup where you helped define foundational technical decisions</li>
<li>Experience building multi-region or highly available systems</li>
<li>Experience supporting AI/ML infrastructure or model-serving platforms</li>
</ul>
Our tech stack
<ul>
<li>Database: PostgreSQL</li>
<li>Backend: Node.js + TypeScript, Encore for server-side development and managed DevOps, hosted on GCP</li>
<li>LLMs: OpenAI, Anthropic, Google (foundation models), Browserbase (browser automation)</li>
<li>Frontend: React + TypeScript, hosted on Vercel</li>
</ul>
Interview Process
<div>
<ul><li>Intro Chat with Head of Talent (30 mins)</li></ul>
<ul><li>Technical Screen + Meet and Greet with an Engineer (60 mins)</li></ul>
<ul><li>Executive Chat - Nilkanth, CTO (30-45 mins)</li></ul>
<ul><li>Final Interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours)</li></ul>
</div>
Compensation

The estimated salary range for this role is $195,000 &ndash; $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.<div>
Our Benefits

We invest in our people the same way we invest in our product: seriously.
<ul><li> Health, Vision, and Dental benefits</li>
<li>️ Flexible PTO</li>
<li>➕ Life Insurance and Accidental Insurance</li>
❤️&zwj;<li> Short-Term Disability Coverage</li>
<li> Generous salary and equity for all staff</li>
<li> 401k option; helping you save for the future</li>
<li> Yearly learning and development stipend</li>
<li> Commuter benefits for Bay Area employees</li>
<li> Uber ride stipend if you ever have to work late in the office</li>
<li> Remote office home stipend to get you comfy in your space</li>
<li> Daily catered lunches provided</li>
<li>✈️ Onboarding trip to San Francisco HQ if you work remotely</li>
<li> Monthly happy hours</li>
 Annual Company Offsites; our last one was in Palm Springs CA
</ul>
Workplace Policy

We are an in-person company. Our offices in San Francisco and New York City are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other.

Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to San Francisco for their first week to onboard and meet the team, and we cover the full trip. Most remote employees visit once a year after that, with all travel, lodging, and meals on us.

Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. No surprises.

Equal Opportunity

Pallet is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.

Candidate Privacy Notice

Please review Pallet's Candidate Privacy Notice here.

Accommodations

Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.

If you need any assistance or accommodations due to a disability, please contact us at peopleops@pallet.com.</div></div>

Security Platform Engineer

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