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Smvsoft LLC

<p><b>Founding Engineer - Applied AI</b><br/>San francisco, CA (Full time)- In-Office</p><p>$180k-$230k per annum</p><p><b>NO C2C</b></p><p><b>About the Role</b></p><p>Hiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.</p><p>This is a deeply technical, high-impact role. You will be among the first technical hires and will own mission-critical systems end-to-end. The problems are ambiguous, the constraints are real, and the expectations are high. If you move fast from idea to production, care deeply about customer experience, and want to build foundational AI infrastructure for the world's most impactful industries, this role is for you.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training</li><li>Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems</li><li>Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments</li><li>Prototype rapidly, validate ideas with real users, and ship frequently</li><li>Influence engineering culture, architecture decisions, and the future of the product</li></ul><p><b>Requirements</b></p><p><b>Must-Have</b></p><ul><li>Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience</li><li>Strong familiarity with LLM architectures and agent research trends</li><li>Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&amp;B</li><li>Experience building production ML or AI systems</li><li>Solid practical experience with search and information retrieval</li><li>Moves fast from idea to production, with a genuine care for customer experience</li><li>Based in or willing to relocate to San Francisco, or an exceptional remote candidate</li></ul><p><b>Nice-to-Have</b></p><ul><li>2+ years in applied machine learning, backend engineering, or AI infrastructure</li><li>Experience working with machine learning over geometric data, including CAD</li><li>Track record of high-impact contributions or published papers at top-tier AI labs or teams</li></ul><p>Pay: $180,000.00 - $230,000.00 per year</p><p>Work Location: In person</p>

Founding Engineer - Applied AI

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.
 <br/>
 <br/>
 TLDR: this team leverages OpenAI technology to improve OpenAI, and you&rsquo;ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
 <strong>
  Backend Software Engineer
 </strong>
 with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI&rsquo;s support automation. This is a deeply technical and highly cross-functional role where you&rsquo;ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design eval pipelines that are reliable, reproducible, and extendable
  </li>
  <li>
   Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
  </li>
  <li>
   Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
  </li>
  <li>
   Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
  </li>
  <li>
   Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
  </li>
  <li>
   Own the full development lifecycle of new backend systems and internal platform capabilities
  </li>
  <li>
   Build with scale and maintainability in mind, while rapidly iterating on new ideas
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Great Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of backend engineering experience at product-driven companies (excluding internships)
  </li>
  <li>
   Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
  </li>
  <li>
   Experience designing and scaling distributed systems, APIs, or data processing pipelines
  </li>
  <li>
   Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
  </li>
  <li>
   Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
  </li>
  <li>
   Experience creating production evals and/or measuring performance of ML/LLM models at scale
  </li>
  <li>
   A pragmatic mindset. You&rsquo;re comfortable shipping iteratively while building toward a long-term vision
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Compensation Range: $230K - $385K
 <br/>
 <br/>
</div>


Backend Software Engineer (Evals)

HARVEY

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Engineering</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$161.3K &ndash; $241.9K &bull; Offers Equity &bull; Offers Bonus</li>
</ul><div><p><i>Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</i></p></div></div></div>
<br><div><h1 class="jobSectionHeader"><b>Why Harvey</b></h1>
<p>At Harvey, we&rsquo;re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.</p>
<p>This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.</p>
<p>Our team moves fast, takes ownership, and is deeply committed to the mission &mdash; operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.</p>
<p>At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.</p>
<p></p><h1 class="jobSectionHeader"><b>Role Overview</b></h1>
<p>Harvey is building the AI platform trusted by the world&rsquo;s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload.</p>
<p>We&rsquo;re looking for a Production Engineer to help build and operate Harvey&rsquo;s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You&rsquo;ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale.</p>
<p>In this role, you&rsquo;ll improve the reliability, scalability, security, and efficiency of Harvey&rsquo;s infrastructure platform. You&rsquo;ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You&rsquo;ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey&rsquo;s rapid growth.</p>
<p>At Harvey, we value Decisiveness, Simplicity, and the belief that Job&rsquo;s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.</p>
<p></p><h1 class="jobSectionHeader"><b>What You'll Do</b></h1>
<h2 class="jobSectionHeader"><b>Infrastructure Engineering &amp; Technical Leadership</b></h2>
<ul><li><p>Design, build, and operate the production infrastructure that powers Harvey&rsquo;s products and AI workloads.</p>
</li><li><p>Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.</p>
</li><li><p>Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost.</p>
</li><li><p>Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions.</p>
</li><li><p>Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely.</p>
</li><li><p>Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship.</p>
</li></ul><h2 class="jobSectionHeader"><b>Infrastructure Foundation &amp; Production Operations</b></h2>
<ul><li><p>Build and operate Harvey&rsquo;s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.</p>
</li><li><p>Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads.</p>
</li><li><p>Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth.</p>
</li><li><p>Operate and continuously improve Harvey&rsquo;s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation.</p>
</li><li><p>Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring.</p>
</li><li><p>Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.</p>
</li><li><p>Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.</p>
</li><li><p>Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform.</p>
</li><li><p>Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>What You Have</b></h1>
<ul><li><p>5+ years of software, infrastructure, site reliability, or production engineering experience.</p>
</li><li><p>Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.</p>
</li><li><p>Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability.</p>
</li><li><p>Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics.</p>
</li><li><p>Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi.</p>
</li><li><p>Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations.</p>
</li><li><p>Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response.</p>
</li><li><p>Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.</p>
</li><li><p>A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority.</p>
</li><li><p>Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders.</p>
</li><li><p>A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms.</p>
</li></ul><h2 class="jobSectionHeader"><b>Nice to Have</b></h2>
<ul><li><p>Experience supporting AI/ML or LLM infrastructure at scale.</p>
</li><li><p>Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.</p>
</li><li><p>Experience with multi-cloud infrastructure or hybrid cloud environments.</p>
</li><li><p>Experience building internal platforms or developer tooling that improves engineering velocity and production safety.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>Compensation</b></h1>
<p>$161,300 - $241,900 USD</p>
<p></p><h3 class="jobSectionHeader"><b>Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices </b><b>here</b><b>.</b></h3>
<p>#LI-AN2</p>
<p></p><p><i>Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.</i></p>
<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</p></div>

Senior Software Engineer, Production Engineering

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $120,000&ndash;$300,000 + Competitive Equity</p><h2 class="jobSectionHeader"><b>
About the Company</b></h2><p>
An early-stage, venture-backed FinTech building AI compliance analysts that automate AML, KYC, KYB, and transaction monitoring end-to-end for banks and fintechs. The product operates inside browsers, APIs, and internal systems the way a human analyst would, and is already live with financial institutions across multiple regions.</p><p>
Founded 2024 &middot; Seed stage &middot; Small team &middot; Industry: FinTech</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
A backend-leaning Member of Technical Staff building the end-to-end systems that power production AI compliance workflows &mdash; high-performance infrastructure, reliability, and backend architecture supporting mission-critical automation.</p><p><b>
What you'll be doing</b></p><ul><li>
Architect agent behaviors and build the backend systems behind production AI compliance workflows</li><li>
Build browser agents that navigate legacy systems, portals, and third-party platforms, interpreting unstructured data</li><li>
Process risk signals at the speed money moves &mdash; millions of transactions, sub-second decisions &mdash; via distributed inference, caching, queue orchestration, and self-healing data pipelines on AWS</li><li>
Contribute to an in-house deep-research pipeline that keeps LLMs from conflating similar entities</li><li>
Optimize ML pipelines and ship product features, owning problems vertically</li></ul><p><b>
Tech stack:</b> Python, AWS; browser automation, computer vision, LLM systems.</p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li>
Experience with backend development and/or ML, especially in Python and AWS</li><li>
Hands-on experience deploying software to production environments</li><li>
Strong communication skills and willingness to interact with clients</li></ul><h2 class="jobSectionHeader"><b>
Green Flags</b></h2><ul><li>
Experience with browser automation and computer vision</li><li>
Background with distributed inference and optimization on AWS</li><li>
Familiarity with LLM systems and deep research pipelines</li><li>
Experience building systems that process millions of transactions at scale</li><li>
Knowledge of compliance, AML, KYC, or financial crime domains</li><li>
Competitive coding background</li><li>
Contributions to open-source projects or personal projects on GitHub</li><li>
Prior experience as a founder or at an early-stage startup</li></ul><h2 class="jobSectionHeader"><b>
Red Flags</b></h2><ul><li>
Candidates from a pure data science background who lack strong technical skills</li><li>
Lack of hands-on experience deploying software to production</li><li>
Primarily academic or research experience without practical engineering work</li></ul><h2 class="jobSectionHeader"><b>
Why Join</b></h2><ul><li>
Build frontier AI agents in production, solving hard problems with no off-the-shelf answers</li><li>
Large, underserved market with real customer traction and measurable impact</li><li>
Small team with wide surface area &mdash; own features end-to-end across backend, ML, and product</li></ul><h2 class="jobSectionHeader"><b>
Details</b></h2><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site</li><li><b>
Compensation:</b> $120,000&ndash;$300,000 + equity</li><li><b>
Visa sponsorship:</b> H-1B, O-1, OPT</li><li><b>
Experience:</b> 1+ years</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Member of Technical Staff

Anthropic

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse &mdash; keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.</p>
<p>
Payments fraud is more externally coupled than most trust and safety work &mdash; you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints</li>
<li>Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting</li>
<li>Engineer fraud signals at scale &mdash; device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage &mdash; and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases</li>
<li>Own a portfolio of metrics &mdash; loss rate, dispute rate, authorization approval impact, and false-positive rate &mdash; rather than optimizing any single number</li>
<li>Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules</li>
<li>Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners</li>
</ul><h2 class="jobSectionHeader"><b>Minimum Qualifications:</b></h2>
<ul><li>Proficiency in Python, SQL, and data analysis tools</li>
<li>Experience building or operating fraud, risk, or abuse detection systems in production</li>
<li>Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications:</b></h2>
<ul><li>8+ years of industry software engineering experience, with a focus on payments fraud or risk</li>
<li>Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle</li>
<li>Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud</li>
<li>Understanding of fraud loss accounting &mdash; fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) &mdash; and why chargeback rate thresholds carry existential stakes</li>
<li>Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows</li>
<li>Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team</li>
</ul></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$320,000 - $485,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Staff+ Software Engineer, Financial Fraud

Serval

<div>
 <strong>
  <strong>
   Who We Are
   <br/>
   <br/>
  </strong>
 </strong>
 Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end &mdash; replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.
 <br/>
 <br/>
 At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don&rsquo;t just respond to requests &mdash; they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
 <br/>
 <br/>
 Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we&rsquo;re building the universal AI operations layer &mdash; a system of agents that sits across business functions and runs the workflows that keep modern companies moving.
 <br/>
 <br/>
 We&rsquo;re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.
 <br/>
 <br/>
 <strong>
  <strong>
   Role Overview
   <br/>
   <br/>
  </strong>
 </strong>
 As an Executive Assistant at Serval, you will act as a force multiplier for a member of our executive team. You will own scheduling complexity, coordinate logistics, streamline communication, and systematically remove operational friction so leadership can stay focused on the highest-impact priorities.
 <br/>
 <br/>
 This role has direct leverage on executive effectiveness. The right candidate will materially increase execution velocity and ensure leaders remain focused on what matters most. This is not a reactive administrative position &mdash; it requires anticipation, sound judgment, prioritization discipline, and operational rigor.
 <br/>
 <br/>
 You will gain visibility into company strategy, key initiatives, and growth decisions while playing a foundational role in scaling Serval's operations.
 <br/>
 <br/>
 <strong>
  <strong>
   What You&rsquo;ll Do
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Executive Support
  </li>
  <ul>
   <li>
    Own and optimize complex executive calendars, balancing competing internal and external priorities
   </li>
   <li>
    Triage inbound requests and safeguard leadership time using clear prioritization principles
   </li>
   <li>
    Coordinate domestic and international travel end-to-end, including dynamic adjustments
   </li>
   <li>
    Manage sensitive and confidential matters with discretion and sound judgment
   </li>
  </ul>
  <li>
   Operational &amp; Organizational Leverage
  </li>
  <ul>
   <li>
    Serve as a liaison across leadership, team members, candidates, and external partners
   </li>
   <li>
    Improve internal communication flow and organizational clarity
   </li>
   <li>
    Track initiatives, action items, and cross-functional dependencies to ensure follow-through
   </li>
   <li>
    Design and refine systems that increase executive and team-wide productivity
   </li>
  </ul>
  <li>
   Culture &amp; Office Support
  </li>
  <ul>
   <li>
    Support planning and execution of offsites, team events, and key leadership meetings
   </li>
   <li>
    Contribute to a structured, high-functioning in-office and virtual environment
   </li>
   <li>
    Assist with vendor coordination, subscriptions, asset management, and operational logistics
   </li>
  </ul>
 </ul>
 <strong>
  <strong>
   What You&rsquo;ll Need
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   2+ years supporting C-level executives or founders; startup experience strongly preferred
  </li>
  <li>
   Advanced calendar management skills with strong prioritization judgment
  </li>
  <li>
   Proactive operating style &mdash; you anticipate needs before they surface
  </li>
  <li>
   High attention to detail while managing multiple concurrent workstreams
  </li>
  <li>
   Clear, concise written and verbal communication skills
  </li>
  <li>
   Comfort operating in ambiguity and evolving priorities
  </li>
  <li>
   Strong discretion and professional judgment
  </li>
  <li>
   High technical fluency and enthusiasm for modern tools and workflows
  </li>
  <li>
   Excellent organizational and time-management discipline
  </li>
  <li>
   "No task is too small" mindset paired with strategic awareness
  </li>
  <li>
   Composed, professional presence in fast-moving environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Nice to Have
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Experience supporting executives in high-growth tech startups (Series A&ndash;C)
  </li>
  <li>
   Familiarity with modern productivity and collaboration tools (e.g., Notion, Slack, Ashby, Salesforce)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Impact: Be a key player in shaping the success of our product and company.
  </li>
  <li>
   Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.
  </li>
  <li>
   Culture: Join a culture that values innovation, ownership, accountability, and fun.
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $100K - $190K
 <br/>
 <br/>
</div>


Executive Assistant

SERVAL

<div><h1 class="jobSectionHeader"><b>Who We Are</b></h1><p>
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end &mdash; replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.<br>
<br>
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don&rsquo;t just respond to requests &mdash; they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.<br>
<br>
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we&rsquo;re building the universal AI operations layer &mdash; a system of agents that sits across business functions and runs the workflows that keep modern companies moving.<br>
<br>
We&rsquo;re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.
</p><p></p><h2 class="jobSectionHeader"><b>About the role:</b></h2><p>
Serval is hiring a Product Marketing Manager to own how Serval shows up in the market: how we position the product, how we equip sales to win, and how we translate a fast-moving roadmap into stories buyers care about. You'll sit at the center of product, sales, and marketing, and you'll be a founding voice on the PMM function as it scales.</p><p>
This is a builder role. You'll set the messaging foundation, run launches, and give the sales team the ammunition to close. If you want a defined playbook handed to you, this isn't the role. If you want to write the playbook, read on.</p><p></p><h2 class="jobSectionHeader"><b>
What You'll Do:</b></h2><ul><li><p>
Own positioning and messaging for Serval: the narrative, the value props, and the differentiation against legacy ITSM and other AI point solutions. Make it sharp, make it true, make it repeatable.</p></li><li><p>
Lead product launches from tiering to GTM plan to execution, coordinating product, sales, and demand gen so releases land with customers and not just in a changelog.</p></li><li><p>
Build the sales enablement layer: pitch decks, one-pagers, battle cards, demo narratives, objection handling, and competitive intel that reps actually use.</p></li><li><p>
Become the resident expert on our buyers [IT, security, and ops leaders] and their world: their pain, their alternatives, their buying process. Turn that into messaging that resonates.</p></li><li><p>
Drive competitive intelligence: track the landscape, build the battle cards, and arm the field to win head-to-head.</p></li><li><p>
Partner with demand gen and content on campaigns, webinars, and thought leadership that move pipeline, not just impressions.</p></li><li><p>
Support pricing and packaging work with market and win/loss insight.</p></li><li><p>
Create customer-facing proof: case studies, ROI narratives, and reference content that make the value undeniable.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What you'll need:</b></h2><ul><li><p>
5+ years in product marketing, ideally in B2B SaaS sold to technical buyers [IT, security, DevOps, or infrastructure].</p></li><li><p>
A track record of owning positioning and launches end to end, not just contributing slides to someone else's plan.</p></li><li><p>
Strong writing. You can take a complex, technical product and make it clear, credible, and compelling to a busy executive.</p></li><li><p>
Deep comfort partnering with sales. You've built enablement that reps chose to use because it helped them win.</p></li><li><p>
Analytical instincts: you ground messaging in research, win/loss, and data, and you can tell the difference between a story that sounds good and one that closes.</p></li><li><p>
Bias to action and comfort with ambiguity. You thrive when the category is undefined and the answer isn't in a template.</p></li><li><p>
Bonus: experience with ITSM, IT operations, identity/access, security, or AI/agent products.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p><b>
Impact</b>: Be a key player in shaping the success of our product and company.</p></li><li><p><b>
Growth</b>: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.</p></li><li><p><b>
Culture</b>: Join a culture that values innovation, ownership, accountability, and fun.</p></li></ul><p>
Compensation Range: $180K - $250K</p></div>

Senior Product Marketing Manager

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