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Artificial Analysis

<p></p><div><p><b>Job Description &ndash; Member of Technical Staff</b></p><p><b>
Location: </b>San Francisco (preferred), Sydney, Melbourne, Brisbane</p><p><b>
About Artificial Analysis</b></p><p>
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.</p><p>
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.</p><p>
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.</p><p><b>
The Opportunity</b></p><p>
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.</p><p>
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.</p><p>
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.</p><p>
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li><b>AI Benchmarking Product Development:</b> Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li><b>Strategic Analysis of AI:</b> Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li><b>Partner with Leading AI Companies:</b> Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li><b>Become AI-Native:</b> Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li><b>Company Strategy:</b> We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul><p><b>
What We&rsquo;re Looking For</b></p><p>
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.</p><p>
We hire MTS from three backgrounds. You should clearly fit one of these profiles:</p><p><b>
Strategy Consulting</b></p><p>
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.</p><p>
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.</p><p><b>
AI and Machine Learning</b></p><p>
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.</p><p>
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.</p><p><b>
Technical Product Management</b></p><p>
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.</p><p>
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.</p><p><b>
Across all three profiles, we require:</b></p><ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul><p><b>
Why Artificial Analysis?</b></p><ul><li><b>Shape how AI gets built: </b>The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li><b>Become a world expert in AI</b>: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li><b>Work with the most important players in AI</b>: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li><b>Join at a defining moment</b>: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li><b>Competitive compensation</b> including equity</li></ul><p>
1</p></div>

Member of Technical Staff

Goodfire

<div><div><h2 class="jobSectionHeader"><b>About Goodfire</b></h2>
<p>
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI&mdash;not by scaling alone, but by understanding the intelligence we're building.<br>
<br>
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.</p>
<p>
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap&mdash;we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.</p>
<p>
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world&rsquo;s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
We&rsquo;re searching for an Executive Assistant who will support our COO and Principal Investigator- someone who will make it their mission to protect their time and attention so they can stay focused on the highest-impact work. You&rsquo;ll own their calendar and inboxes, orchestrate travel and meeting logistics, assist with personal tasks, coordinate internal and external meetings, and partner closely with our Operations team to create an exceptional employee experience.</p>
<p>
The work is intense and fast-paced. We&rsquo;re looking for someone who can keep pace without ever lowering their standards for excellence. No two days will look the same and you&rsquo;ll face problems that don&rsquo;t come with a playbook. If you thrive in ambiguity, love bringing order to complexity, and find genuine joy in making helping people and an organization run better, we&rsquo;d love to hear from you!</p>
<h2 class="jobSectionHeader"><b>
Who you are</b></h2>
<p>
You care deeply, have an exceptionally high bar for quality, are relentlessly organized, have strong communication skills, and are energized by solving problems. You thrive in high-growth environments where priorities shift quickly, take pride in flawless execution, and treat every challenge, whether rescheduling a board meeting or sourcing last-minute catering, as an opportunity to do valuable and meaningful work. You also understand that strong executive support is built on strong relationships, so you have a desire to invest in earning trust across the organization to become a reliable partner to everyone in the organization.</p>
<h3 class="jobSectionHeader"><b>
Preferred qualifications</b></h3>
<ul><li>Experience working in a fast-paced, early-stage startup environment</li>
<li>Prior experience supporting C‑level executives in a venture‑backed startup</li>
<li>Comfort negotiating with vendors and managing complex calendars across time zones</li>
<li>Demonstrated success planning multi‑day off‑sites or customer events</li>
<li>Proficiency with modern productivity tools (e.g., Google Workspace, Notion, Slack</li>
</ul><h2 class="jobSectionHeader"><b>Our values</b></h2>
<p>
Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.</p>
<p><b>
Put mission and team first</b></p>
<p>
All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.</p>
<p><b>
Improve constantly</b></p>
<p>
We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.</p>
<p><b>
Take ownership and initiative</b></p>
<p>
There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we&rsquo;re building.</p>
<p><b>
Action today</b></p>
<p>
We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.</p>
<h2 class="jobSectionHeader"><b>
Where we work</b></h2>
<p>
We are hiring for this position in our San Francisco office who&rsquo;d be onsite 5 days a week.</p>
<h2 class="jobSectionHeader"><b>
What we offer</b></h2>
<p>
This role offers market competitive salary, equity, and competitive benefits.</p>
<p>
The expected salary range for this position is $100,000-$200,000.</p>
<p>
This role reports into Executive Operations.</p>
<p>
Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory &mdash; we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life&rsquo;s work with us, even if you believe you do not meet every single requirement, apply now.</p></div></div>

Executive Assistant

banking.TOP

<div>
 Who We Are
 <br/>
 <br/>
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 <br/>
 <br/>
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 <br/>
 <br/>
 We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
 <br/>
 <br/>
 <ul>
  <li>
   AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
  </li>
  <li>
   Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
  </li>
  <li>
   Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Achieve
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 <br/>
 <ul>
  <li>
   Partner with your team to prototype and ship an AI-powered product improvement
  </li>
  <li>
   Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
  </li>
  <li>
   Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
  </li>
  <li>
   Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
  </li>
  <li>
   Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
  </li>
  <li>
   Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
  </li>
  <li>
   Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Haves
 <br/>
 <br/>
 <ul>
  <li>
   You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
  </li>
  <li>
   You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
  </li>
  <li>
   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
   <br/>
   <br/>
  </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
 A Note on AI
 <br/>
 <br/>
 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 <br/>
 <br/>
 Equal Opportunity &amp; Accommodations
 <br/>
 <br/>
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 <br/>
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Software Engineer, Early Career (AI)

CLERA

<div><h3 class="jobSectionHeader"><b>About the role</b></h3><p>
Join a bootstrap, early-stage AI-powered recruiting startup as a founding engineer focused on building the intelligence layer that connects candidates with startup opportunities. You&rsquo;ll own recommendation systems, ranking algorithms, and LLM-powered matching to surface high-impact opportunities and drive outcomes for candidates and employers.</p>
<h3 class="jobSectionHeader"><b>What you'll do</b></h3>
<ul><li>Own the AI/ML stack, including recommendation systems and ranking algorithms.</li>
<li>Develop LLM-powered matching to improve candidate-role alignment.</li>
<li>Collaborate with cross-functional teams to translate product goals into production-ready features.</li>
<li>Deliver end-to-end features with ownership and rapid shipping to production.</li>
<li>Design and maintain production-grade data pipelines and services integrated with the stack.</li>
</ul><h3 class="jobSectionHeader"><b>What we're looking for</b></h3>
<ul><li>Strong computer science fundamentals and a track record of delivering end-to-end product features in a fast-paced startup environment.</li>
<li>Experience with Cursor, Supabase, Prisma, Typesense, LLM APIs, and trigger.dev in production-grade projects.</li>
<li>Proficiency with TypeScript and React.</li>
<li>Willingness to work in entrepreneurial, hacky environments and in a dedicated coworking/hackerhouse setup.</li>
<li>Open to a 6-day-per-week schedule and ready to contribute in a high-autonomy, early-stage context.</li>
<li>Demonstrates something outstanding about their profile (e.g., strong projects, active GitHub).</li>
</ul><h3 class="jobSectionHeader"><b>Compensation &amp; benefits</b></h3>
<ul><li>Salary range: 130,000 &ndash; 170,000 USD annually.</li>
<li>Visa sponsorship available.</li>
<li>Notes: compensation and benefits reflect an early-stage, high-growth environment.</li>
</ul><h3 class="jobSectionHeader"><b>Location</b></h3>
<p>
Primary location: San Francisco, CA, United States. On-site with a flexible, startup-friendly structure. Remote work policy: on-site</p></div>

Senior Founding Engineer (AI/ML)

Writer

<div><h3 class="jobSectionHeader"><b>About WRITER</b></h3><p>
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible &ndash; through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.</p><p>
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
About the role</b></h3><p>
As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.</p><p>
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.</p><p>
This is a hybrid role based out of our San Francisco, Chicago, Austin, New York City, Seattle, and London hubs.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
What you'll do</b></h3><ul><li><p>
Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions</p></li><li><p>
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges</p></li><li><p>
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape</p></li><li><p>
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation</p></li><li><p>
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations</p></li><li><p>
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment</p></li></ul><div><br>
</div><h3 class="jobSectionHeader"><b>
️ What you need</b></h3><ul><li><p>
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management</p></li><li><p>
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications</p></li><li><p>
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment</p></li><li><p>
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership</p></li><li><p>
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI</p></li><li><p>
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts</p></li></ul><p><b><br>
Benefits &amp; perks (US Full-time employees)</b></p><ul><li><p>
Generous PTO, plus company holidays</p></li><li><p>
Medical, dental, and vision coverage for you and your family</p></li><li><p>
Paid parental leave for all parents (16 weeks)</p></li><li><p>
Fertility and family planning support</p></li><li><p>
Early-detection cancer testing through Galleri</p></li><li><p>
Flexible spending account and dependent FSA options</p></li><li><p>
Health savings account for eligible plans with company contribution</p></li><li><p>
Annual work-life stipends for:</p><ul><li><p>
Wellness stipend for gym, massage/chiropractor, personal training, etc.</p></li><li><p>
Learning and development stipend</p></li></ul></li><li><p>
Company-wide off-sites and team off-sites</p></li><li><p>
Competitive compensation, company stock options and 401k</p></li></ul><p><i>
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</i></p><p>
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.</p><p>
Compensation Range: $131.8K - $185K</p></div>

AI deployment engineer (West)

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>San Francisco CA</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><p>The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation.</p><br>
<p><br>
<b>Key Responsibilities</b><br>
</p><p><br>
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
<br>
Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
<br>
Build and support AI agents, autonomous systems, and agentic workflows.
<br>
Deploy, monitor, and optimize AI models in production using MLOps practices.
<br>
Design and maintain data pipelines, data lakes, and data warehouses.
<br>
Monitor model performance, troubleshoot issues, and manage data/model drift.
<br>
Collaborate with business and technical teams to align AI solutions with organizational objectives.
<br>
Create reusable assets, demos, and proof-of-concepts to support innovation and business development.<br>
<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills and Experience
</b></h2></div><div><p>A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
<br>
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
<br>
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
<br>
Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.</p>
<p>GPT, Claude LLM, Stable Diffusion
<br>
LangChain
<br>
TensorFlow
<br>
PyTorch
<br>
Scikit-learn
<br>
RAG (Retrieval-Augmented Generation)
<br>
AI Agents &amp; Agentic Workflows
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API Development
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REST APIs
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JSON
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HTTP Requests
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Authentication &amp; Tokens
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Error Handling &amp; Debugging<br>
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</p></div></div></div><p>The base compensation range for this role in the posted location is $90,000- $160,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist/ AI Engineer

Faire

<div><div><p><b>About Faire</b></p>
<p>
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town &mdash; we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.</p>
<p>
We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</p></div><p><b>
About the role:</b></p>
<p>
As a Senior Enterprise Security Engineer, you will help protect Faire's corporate environment across endpoint, network, identity, and SaaS, and play a key role in how we govern the safe use of AI across the company. You will apply secure-by-default standards, champion zero trust, and turn strategy into practical controls, automation, and guidance that teams adopt. Working across leadership pillars, you will help shape our AI governance approach and own much of how it gets put into practice. This is a role for someone who is strong hands-on and ready to grow their scope and influence across IT, Engineering, Legal, People, Finance, and Product.</p>
<p><b>
What You'll Do:</b></p>
<ul>
<li>Help shape and operate Faire's AI governance program: acceptable-use standards, data protection for AI tools, vendor and model risk review, and safe patterns for AI-assisted work (including agent and MCP-based integrations).</li>
<li>Partner with IT teams to harden endpoint management, corporate infrastructure, identity services, and networking.</li>
<li>Design and implement controls that protect company information from unauthorized access, disclosure, or misuse.</li>
<li>Support and help run our endpoint detection and response platform, email security stack, and phishing simulation and awareness programs.</li>
<li>Build the guardrails and enablement that let teams experiment with AI quickly without creating new exposure, partnering with Engineering rather than duplicating their work.</li>
<li>Advise employees on securing endpoints, office AV, and network gear, and publish clear runbooks.</li>
<li>Build and deliver training that grows a culture of security, accountability, and practical awareness.</li>
<li>Track emerging threats, including AI-specific risks, and make recommendations to improve our posture.</li>
</ul>
<p><b>What It Takes:</b></p>
<ul>
<li>5+ years in enterprise security with hands-on experience.</li>
<li>Practical experience in at least two of these areas: endpoint security, network security, data security, security operations, threat management, AI governance and security.</li>
<li>Exposure to enterprise AI governance and security (e.g. AI platform management, AI tool or MCP security review, prompt guardrailing), with the interest and ability to grow into owning more of it.</li>
<li>Experience writing policies and processes and supporting audits for frameworks such as ISO 27001, SOX, and SOC 2 Type II.</li>
<li>Strong written and verbal communication.</li>
<li>Analytical, outcomes-driven mindset with a bias for action.</li>
<li>Ability to influence others through empathy and relationship-building.</li>
<li>A passion for programming and solving problems with code (Python, Ruby, or Go).</li>
</ul><h4 class="jobSectionHeader"><b>Salary Range:</b></h4>
<p>
San Francisco: the pay range for this role is $174,500 - $240,000 per year.</p>
<p>
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.</p><div><p><i>
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).</i><i> Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.</i></p><br>
<p><b>
Why you'll love working at Faire</b></p>
<ul>
<li><b>Move fast:</b> You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li>
<li><b>Equipped to scale:</b> We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li>
<li><b>Best in class:</b> Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li>
<li><b>Real rewards.</b> Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li>
<li><b>Belonging:</b> We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li>
</ul>
<p>Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.</p>
<p></p>
<p>Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.</p>
<p>
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)</p>
<p><b>
Privacy</b></p>
<p>
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)</p></div></div>

Senior Enterprise Security Engineer

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