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Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
 
 
 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
 
 
 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
 
 
 
 About The Role
 
 
 
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
 
 
 There are multiple openings across various teams: GTM, Core Product, and Finance.
 
 
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Design and manage database architecture and data models
 </li>
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 Build and maintain ETL/ELT pipelines and orchestration workflows
 </li>
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 Create and manage new data integrations across internal and external systems
 </li>
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 Own business reporting: datasets, dashboards, metrics, and self-serve analytics
 </li>
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 Ensure data quality, observability, governance, and documentation
 
 
 </li>
 </ul>
 
 Requirements For The Role
 
 
 
 <ul>
 <li>
 4+ years in a data engineering, data science, or full-stack data role
 </li>
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 Expert on SQL and Python (required)
 </li>
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 Experience with data modeling, warehouse architecture, and BI-oriented schema design
 </li>
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 Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
 </li>
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 Experience building or maintaining BI reporting (Metabase a plus)
 </li>
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 Experience developing scalable backend heavy applications
 </li>
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 Strong knowledge of statistics and experimentation
 </li>
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 Based in SF or NYC
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>

Data Engineer

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Cybersecurity Expert
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $1,750&ndash;$2,150 per completed task
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated outputs related to threat analysis, vulnerability assessment, and security architecture recommendations.
 </li>
 <li>
 Create realistic scenarios based on cybersecurity workflows such as incident response runbooks, threat hunting queries, and penetration testing reports.
 </li>
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 Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy and SIEM alert triage.
 </li>
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 Provide structured feedback on AI accuracy in areas such as cybersecurity frameworks (NIST CSF, MITRE ATT&amp;CK) and threat intelligence standards (STIX/TAXII).
 </li>
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 Collaborate asynchronously with research teams to refine evaluation frameworks for cybersecurity AI.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 3+ years of professional experience in cybersecurity at an enterprise organization, MSSP, consultancy, or government/defense environment.
 </li>
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 Background in areas such as SOC analysis, incident response (DFIR), penetration testing, threat intelligence, or security architecture.
 </li>
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 Strong analytical thinking and ability to translate security operations into structured evaluation tasks.
 </li>
 <li>
 Clear written communication and attention to detail.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Professional certifications like CISSP, CISM, CEH, OSCP, GIAC certifications, Security+.
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 Task Completion Pay: Competitive and based on task quality.
 </li>
 <li>
 Performance Bonus: Weekly bonus incentive for top performers.
 </li>
 <li>
 Hourly Opportunity: Transition to hourly compensation for sustained quality.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Cyber Security Analyst | Upto $2150 Part-time

OpenAI

About the Team
 
The Codex Cloud Apps team builds cloud-native agentic products that reimagine how software is created, reviewed, deployed, and operated. We own end-user experiences such as ChatGPT Sites, Code Review, and future agentic automation products that allow individuals and organizations to delegate increasingly complex work to AI.
 
Our team sits at the intersection of product, engineering, design, and research. We work directly with customers and internal teams to discover entirely new workflows enabled by AI agents, then rapidly turn those ideas into production products used by millions of users and enterprises around the world.
 
About the Role
 
In this role, you'll help define what AI-native software products look like. You'll build experiences that allow users to collaborate with AI agents, automate complex workflows, and create entirely new classes of applications that weren't previously possible.
 
You'll work across product design, backend systems, frontend experiences, enterprise features, and model capabilities to ship products quickly, learn from real-world usage, and continuously improve how people use agents in the cloud.
 
In this role, you will: 
Design and build end-to-end agentic product experiences across web, desktop, mobile, APIs, and integrations.
 
Work directly with customers to understand how individuals and organizations adopt AI agents, and translate those insights into product direction.
 
Build products such as AI-powered code review, application generation, workflow automation, and future agentic experiences.
 
Partner closely with research teams to transform new model capabilities into usable, reliable customer-facing features.
 
Design enterprise-ready capabilities including identity, governance, permissions, compliance, auditability, and analytics.
 
Prototype quickly, ship frequently, and use product telemetry and customer feedback to guide iteration.
 
Help define entirely new interaction patterns between humans and AI agents to accomplish tasks together.
 
You might thrive in this role if you: 
Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production to refinement.
 
Strong product instincts and a track record of turning ambiguous ideas into successful products.
 
Experience building developer tools, SaaS products, workflow systems, collaboration tools, or AI-powered products.
 
Experience working closely with users and customers and translating feedback into product improvements.
 
Familiarity with modern AI-assisted development workflows and agentic software systems.
 
Experience with enterprise software concepts such as identity, permissions, governance, compliance, and integrations.
 
Comfort working across frontend, backend, APIs, data models, and product design.
 
Enjoy fast-moving 0→1 environments and are excited by defining entirely new categories of software.
 
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
 
$230K – $325K + Offers Equity

Software Engineer, Codex Cloud Apps

LawnStarter

<div>About LawnStarter
LawnStarter is the nation's leading on demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We are expanding beyond lawn care to become the one stop shop for all home services. Becoming the most discovered, cited, and trusted brand in our category is how we get there.
About the Growth Team
Growth owns the full acquisition funnel across our brand portfolio. Some of the most recognized names in outdoor services, reaching millions of homeowners every year. SEO and organic discovery are foundational to how customers find us, and this role leads the team responsible for making that happen at scale. You will report directly to the CMO and operate at the intersection of content, technical SEO, product, and the emerging world of AI powered search.
The Challenge
The game changed. Rankings are no longer the prize. Recommendation is. When a homeowner asks ChatGPT, Claude, Perplexity or Google AI who to hire, our job is to be the answer. Not page one. The answer.
That takes two bets running together. First, brand presence across every surface where homeowners and machines form trust. PR, journalists, creators, community platforms, review sites, Reddit, Nextdoor, partner ecosystems. Authority comes from the network, not from the page. Second, exposing first party data nobody else can publish. Pricing patterns. Completion times. Regional demand. Marketplace outcomes. That is the kind of original, expert evidence AI systems reward and that commodity SEO can no longer produce.
We have a talented team and strong brand equity. What we need is the leader who already operates this way and has the results to prove it. Not one we have to convince.
The Role
You will own organic search and AI discovery across our brand portfolio. You set the vision, the roadmap, and the standards for how we compete in a world where Google, ChatGPT, Perplexity, and AI Mode are all becoming primary discovery surfaces.
The team is small by design. One SEO analyst. A lean research and editorial group that produces data driven studies and guides. A no code publishing platform that gives you direct control of thousands of pages. Several strategic functions sit intentionally unowned and waiting for you to define. AI visibility tracking. Editorial direction. Content pruning. Expert sourcing strategy. You decide what to keep, what to retire, and what to build. We are scaling leverage, not headcount.
This is a strategic, high visibility role. You will shape company wide priorities, partner with engineering, data, product, design, and executive leadership, and be the internal authority on where organic discovery is heading and what it takes to win.
What makes this role different.<ul><li>
You are building a new playbook, not optimizing an old one. The opportunity requires fresh thinking about how technical SEO, content, structured data, and AI visibility work together in 2026 and beyond.</li><li>
Multiple major brands, millions of users, real revenue stakes. Organic drives a meaningful share of our business. The decisions you make here compound across our entire brand portfolio at scale.</li><li>
AI Search is the frontier. Google AI Overviews, ChatGPT, Perplexity. You are not just optimizing for blue links anymore. This role requires genuine expertise in how LLMs and answer engines discover, evaluate, and cite content.</li><li>
You have leverage. A small internal core, a no code publishing platform that gives you direct control of thousands of city, near-me, service, and informational pages (including schema markup and meta data), and first party data nobody else in the category can publish. No engineering dependency. No sprint queues. Move at the speed of a hypothesis. Direct what is here. Build what is missing. Decide what to add.</li></ul>
What You'll Own<ul><li>
Organic strategy across our brand portfolio. The vision, roadmap, and standards for how our brands compete in organic search and AI powered discovery.</li><li>
AI Search visibility. Establishing our brands as cited, authoritative sources in Google AI Overviews, ChatGPT, Perplexity, and emerging conversational search surfaces. Through answer first content architecture, entity authority, and structured data that AI systems can discover, extract, and trust.</li><li>
Technical SEO and architecture. Large scale technical infrastructure, Core Web Vitals, structured data, crawl efficiency, and the product architecture decisions that drive organic performance.</li><li>
Content strategy and production. Directing the editorial work that produces the pages, guides, studies, and resources that rank, get cited, and convert.</li><li>
Team leadership and hiring. Assessing the current core, making the talent calls that need to be made, and building the team you need for the new direction.</li><li>
Cross functional partnership. Working closely with Engineering, Analytics, and Data to build the technical and measurement foundation organic needs to operate at scale.</li></ul>
Problems to Solve
Recovering and growing traffic at scale One of our brands has seen significant traffic decline. Rankings that used to sit in positions 3 to 5 have slipped to page 2. Diagnosing the root cause is the first order of business. Whether the driver is algorithm shifts, content quality, technical debt, AI Search cannibalization, or some combination, the recovery plan needs to address it. The answer will not be simple, and it will not be found by outsourcing it to a framework.
Winning in AI powered discovery The rules of organic visibility are being rewritten in real time. Google AI Overviews, ChatGPT, and Perplexity are becoming primary discovery surfaces for the queries that matter most to us. Most brands are still figuring out how to show up in these environments. How do you build a structured, repeatable approach to AI Search visibility and turn it into a competitive advantage before others catch up?
Going from defense to offense For the last several years it has felt like we have been playing defense as the landscape shifted around us. The old playbook worked until it didn't. This role flips the posture. Go back on offense. Dominate the next era of organic discovery across more verticals than before. How do you go from reacting to leading in the first 90 days?
Defining how to measure AI Search Traditional SEO has clear signals. Rankings, impressions, clicks. AI Search visibility is murkier, but the signals are there if you know where to look. Log data, crawler activity, and emerging tooling can surface a lot, but not all are wired up yet. How do you build a measurement approach that turns raw signals into a reliable view of AI Search visibility, one you can actually use to make decisions and demonstrate progress? 
Requirements 
Who You Are
Sees around corners. You have been building for where search is going, not where it has been. You followed the AI search shift before it was conventional wisdom and you can articulate, specifically, what it means for a business like ours. This is unlikely to be a good fit if you are still primarily optimizing for the 2020 version of SEO or treat AI search as a future concern.
Understands external visibility as foundational. You recognize that in the AI era, authority comes from being repeatedly cited and mentioned across external networks. Journalists, creators, review platforms, industry directories, communities. You have built external earned media strategies and understand how to navigate those ecosystems. You see this as core SEO strategy, not bolt on marketing work. This is unlikely to be a good fit if you view SEO as primarily on site optimization or if you see earned media and PR as separate from organic search strategy.
Understands organic as a revenue driver, not just a traffic channel. You operate with a business mindset. You tie organic initiatives to CAC, acquisition, and revenue impact, not just impressions and clicks. You can speak the language of payback periods, cohort economics, and margin contribution. Organic is foundational to how we grow, and you see your job as compounding revenue value across the entire brand portfolio, not maximizing traffic at any cost. This is unlikely to be a good fit if you are satisfied with organic metrics that don't connect to downstream business outcomes.
Diagnoses fast, acts faster. You use data to find the signal in the noise, make a call, and move. You are not the person who needs six more weeks of research before forming a hypothesis. You know the difference between analysis that unblocks action and analysis that substitutes for it. This is unlikely to be a good fit if you are known for thorough research that rarely translates into a clear recommendation.
Builds and elevates teams. You have led at scale before and made the hard talent calls when they were needed. You are also comfortable starting small and building the team you need around you. You develop leaders, not just contributors, and you create an environment where people know what great looks like. This is unlikely to be a good fit if you prefer to inherit a big team rather than build one.
A company wide evangelist. You don't just own SEO. You sell the vision for it. You can explain the AI Search opportunity to a CFO as clearly as you can explain it to a technical SEO. You influence roadmaps, secure investment, and get cross functional partners excited about organic. This is unlikely to be a good fit if you prefer operating within your lane and leaving the advocacy to others.
Technically fluent and willing to ship. You can get into the weeds on structured data, crawl budgets, and Core Web Vitals, and you know when to. You also know when to step back and set direction. With a small team, the line between executing and leading blurs. You are comfortable on both sides of it. This is unlikely to be a good fit if you need a big team underneath you to do the work.
AI native. You use AI tools daily. For research, content, analysis, and workflow acceleration. More importantly, you understand how LLMs and generative AI work well enough to build an AI Search strategy grounded in how these systems actually discover and evaluate content. This is unlikely to be a good fit if your AI knowledge is surface level or limited to using ChatGPT for drafts.
This Role Is NOT<ul><li>
A pure IC role. You will execute alongside the team and roll up your sleeves on the work that needs doing. With a small core and several functions unowned, you cannot delegate everything from day one. But you also own the direction, the hiring, and the standards. If you only want to ship the work yourself and report up, this is too broad. If you only want to set strategy and never touch the work, this is too in the weeds.</li><li>
A single brand role. You own SEO and AI Search across our entire brand portfolio. Every brand matters. If you would prefer to go deep on one and treat the others as secondary, this isn't the right fit.</li><li>
A research and recommend role. We don't need more analysis of what competitors are doing. We need a clear point of view on where we are going and the execution to get there. If you are most comfortable staying in research mode, this role will frustrate you.</li><li>
A role waiting on engineering. Our no code web publishing platform migration puts production pages directly in marketing's hands. Thousands of organic city and near-me pages, partner pages, all of it. If slow execution has been your constraint before, it won't be here. What you will need is the judgment to use that speed well.</li></ul> 

Benefits 
<ul><li>
Base salary. $170,000 to $190,000 USD.</li><li>
Equity. Organic discovery is foundational to how we grow. The value you create compounds across our entire brand portfolio and every channel downstream. We want you invested in that long term outcome.</li><li>
Healthcare. Medical, dental, and vision.</li><li>
Fully remote. Work from anywhere in the US.</li><li>
Flexible PTO. Focused on outcomes.</li></ul>
LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.</div>

Director of SEO and Agentic Search

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

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

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:
 
 
 <ul>
 <li>
 ML modeling &ndash; training, evaluating, and deploying models.
 </li>
 <li>
 AI engineering &ndash; utilizing and orchestrating API LLM models to build agents to solve business problems at Loop.
 </li>
 <li>
 Backend engineering &ndash; building out frameworks to enable AI agents at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1+ years of hands-on experience in deep learning frameworks (e.g., PyTorch, Tensorflow, etc.) or shipping agents to production.
 </li>
 <li>
 Solid understanding of fundamental ML algorithms, especially multimodal LLMs.
 </li>
 <li>
 Experience fine-tuning LLMs and deploying them to production or building out agentic systems.
 </li>
 <li>
 Ability to ship high-quality code to production.
 </li>
 <li>
 Experience in cloud environments (AWS, Google, Azure).
 </li>
 <li>
 Strong communication skills and willingness to collaborate in a cross-functional team environment with domain experts.
 </li>
 <li>
 Keep up to date with the latest AI research.
 </li>
 <li>
 Ability to work in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 Base pay 130k - 200k
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks
 
 
 
 <ul>
 <li>
 Premium Medical, Dental, and Vision Insurance plans
 </li>
 <li>
 Insurance premiums covered 100% for you
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 Fireside chats with industry leading keynote speakers
 </li>
 <li>
 Off-sites in locales such as Napa and Tahoe
 </li>
 <li>
 Generous professional development budget to feed your curiosity
 </li>
 <li>
 Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships
 </li>
 </ul>
</div>

AI Engineer

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