<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>ee567c88-186</externalid>
      <Title>SMB Account Executive, Industries</Title>
      <Description><![CDATA[<p>As a SMB Account Executive on Anthropic&#39;s Industries team, you&#39;ll drive adoption of safe, frontier AI by securing strategic deals with small and medium businesses across key verticals.</p>
<p>You&#39;ll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities.</p>
<p>You&#39;ll be part of Anthropic&#39;s innovative Industries team, focusing on sector-specific solutions within key verticals. The SMB team is pioneering a scaled sales approach that combines strategic automation with low-touch human engagement, allowing you to maximize productivity while delivering exceptional customer experiences.</p>
<p>Responsibilities:</p>
<ul>
<li>Drive revenue and win new business: Own a revenue target and all aspects of the sales cycle from prospecting to close, identifying high-potential opportunities and executing strategies to capture them</li>
</ul>
<ul>
<li>Service inbound demand efficiently: Respond to and qualify inbound leads using a combination of digital engagement and strategic outreach to maximize conversion rates and deal velocity</li>
</ul>
<ul>
<li>Execute strategic outbound campaigns: Identify and pursue target accounts using data-driven insights, deploying scaled outreach tactics while maintaining personalized engagement for key opportunities</li>
</ul>
<ul>
<li>Deliver exceptional customer experiences: Guide customers through evaluation and onboarding, recommending relevant use cases and ensuring successful Claude deployment across their organizations</li>
</ul>
<ul>
<li>Contribute to the SMB GTM strategy: Experiment with new sales tactics, share learnings with the team, and help refine our approach to serving the SMB segment effectively</li>
</ul>
<ul>
<li>Collaborate cross-functionally: Partner with Product, Marketing, Customer Success, and other teams to deliver value to customers and provide market feedback to shape our roadmap</li>
</ul>
<ul>
<li>Optimize for efficiency: Identify opportunities to automate or streamline workflows, leveraging modern sales tools to enhance productivity and scale your impact</li>
</ul>
<p>Requirements:</p>
<ul>
<li>2+ years of B2B sales closing experience, preferably in a PLG or high growth SaaS company, with a proven track record of exceeding quota in high-velocity sales environments</li>
</ul>
<ul>
<li>Experience with automation and tooling: Demonstrated ability to leverage sales technology, automation, or workflows to enhance productivity and improve sales outcomes</li>
</ul>
<ul>
<li>Builder mentality: &quot;Roll up your sleeves&quot; approach with enthusiasm for experimentation. Thrive in ambiguity and bring structure to evolving processes</li>
</ul>
<ul>
<li>Data-driven mindset: Strong analytical skills with ability to prioritize opportunities based on signals and insights, making strategic decisions about resource allocation</li>
</ul>
<ul>
<li>Excellent time management: Proven ability to manage multiple opportunities simultaneously with strong territory planning and account prioritization skills</li>
</ul>
<ul>
<li>Outstanding communication: Confidence presenting to various audiences and building rapport across organizational levels, from practitioners to executives</li>
</ul>
<ul>
<li>Technical aptitude: Comfort discussing technical products and solutions with both technical and non-technical stakeholders</li>
</ul>
<ul>
<li>Growth mindset: Highly coachable and adaptable, with genuine passion for continuous learning and improvement</li>
</ul>
<ul>
<li>Process excellence: Strong experience with CRM systems, pipeline management, and forecasting. Comfortable with structured methodologies while remaining flexible</li>
</ul>
<ul>
<li>Mission alignment: Passion for advanced AI systems and ensuring they are developed safely and deployed responsibly</li>
</ul>
<ul>
<li>Location: This role requires being in office 4x a week in one of our hubs</li>
</ul>
<p>Annual compensation range for this role is $222,800-$290,000 USD.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$222,800-$290,000 USD</Salaryrange>
      <Skills>B2B sales closing experience, Automation and tooling, Builder mentality, Data-driven mindset, Excellent time management, Outstanding communication, Technical aptitude, Growth mindset, Process excellence, Mission alignment</Skills>
      <Category>Sales</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/4931782008</Applyto>
      <Location>San Francisco, CA | New York City, NY</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>ed877cf7-715</externalid>
      <Title>Member of Technical Staff - X Money, Fraud and Payments</Title>
      <Description><![CDATA[<p>We&#39;re looking for an exceptional Software Engineer to focus on Fraud Engineering for a new payments platform serving 600 million+ monthly users. This high-priority role is responsible for protecting users and the platform from fraud, abuse, and risk. You&#39;ll play a key role in designing and implementing systems to detect, prevent, and mitigate fraud in real time,at scale.</p>
<p>Your work will be at the intersection of security, distributed systems, and product engineering, helping build trusted payments infrastructure from the ground up.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Design and implement fraud detection and prevention systems that operate at global scale and low latency</li>
<li>Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms</li>
<li>Collaborate with product, compliance, X Money, Fraud Prevention, and infrastructure teams to ensure a secure and seamless user experience</li>
<li>Monitor and analyze fraud trends, and proactively respond to new attack vectors</li>
<li>Define engineering standards around observability, reliability, and rapid response in fraud-related systems</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred</li>
<li>Skilled in distributed systems: You&#39;ve built resilient, high-throughput systems that operate under real-time constraints</li>
<li>Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles</li>
<li>Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges</li>
<li>Builder mentality: You&#39;re excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.</li>
</ul>
<p><strong>Bonus</strong></p>
<ul>
<li>Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems</li>
<li>Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems</li>
<li>Experience in fintech, trust &amp; safety, or adversarial system design</li>
<li>Comfortable working in a zero-to-one environment with rapid iteration</li>
<li>Experience with: Golang, Postgres, Kafka, Memcached</li>
</ul>
<p><strong>Compensation and Benefits</strong></p>
<p>$180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$180,000 - $440,000 USD</Salaryrange>
      <Skills>backend or systems engineering, fraud, risk, or abuse prevention systems, distributed systems, security-conscious, analytical and pragmatic, builder mentality, Golang, Postgres, Kafka, Memcached, real-time anomaly detection, machine learning for fraud, rule-based risk systems, AML/KYC regulations, chargeback flows, identity verification systems, fintech, trust &amp; safety, adversarial system design</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>xAI</Employername>
      <Employerlogo>https://logos.yubhub.co/xai.com.png</Employerlogo>
      <Employerdescription>xAI creates AI systems to understand the universe and aid humanity in its pursuit of knowledge. The company has a small, highly motivated team focused on engineering excellence.</Employerdescription>
      <Employerwebsite>https://xai.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/xai/jobs/4758524007</Applyto>
      <Location>New York, NY; Palo Alto, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>ff6b9fd1-8fc</externalid>
      <Title>Revenue Enablement Team Member</Title>
      <Description><![CDATA[<p>Join Eve&#39;s Revenue Enablement team as an early hire and take ownership of the new hire onboarding program and a rep&#39;s &quot;first 90 days&quot; and beyond. Architect and scale a world-class GTM Onboarding Engine, redesign existing resources into a structured, cohort-based program that reduces &quot;Time to Productivity&quot; through high-impact instructional content and role-specific playbooks.\n\nLead the evaluation, procurement, and implementation of Eve&#39;s first Learning Management System (LMS) and Content Management System (CMS) to centralize our training ecosystem. Build and execute formal certifications for the entire sales funnel, including Pitch, Discovery, Demo, and Pilot stages.\n\nCreate tailored readiness tracks for SDRs, AEs, and CSMs to ensure role-specific mastery and establish a feedback loop to identify and close skill gaps. Build a process to audit and update onboarding modules, certifications, and playbooks in real-time, ensuring that new hires are learning the most current Eve information from their first hour on the job.\n\nPartner with GTM leadership and internal Subject Matter Experts (SMEs) to standardize the &quot;Eve Way&quot; of selling and servicing, ensuring a consistent customer experience. Collaborate with Revenue Operations to define and report on key ramp metrics, such as Time to First Dial, Time to First Meeting, and Time to First Deal.\n\n5+ years of experience in Sales Enablement, specifically building onboarding programs at a high-growth SaaS company. Proven ability to create structure and process in a high-ambiguity, early-stage environment. Skilled in designing &quot;Active Learning&quot; curriculums that include scenario-based assessments and rigorous certification rubrics.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Sales Enablement, Onboarding Program Development, Learning Management System (LMS), Content Management System (CMS), Certification Development, Curriculum Design, Scenario-Based Assessments, Rigorous Certification Rubrics, GTM Leadership, Revenue Operations, Key Ramp Metrics, Time to First Dial, Time to First Meeting, Time to First Deal, AI Champion, Tech Stack Mastery, Low-Ego &amp; Proactive, Builder Mentality, Curriculum Design Expert, Strategic Evaluator, Excellent Facilitation, Sales Methodologies, BANT, MEDDPICC, Force Management</Skills>
      <Category>Sales</Category>
      <Industry>Technology</Industry>
      <Employername>Eve</Employername>
      <Employerlogo>https://logos.yubhub.co/eve.com.png</Employerlogo>
      <Employerdescription>Eve is a legal tech company targeting a total addressable market of over $500 billion.</Employerdescription>
      <Employerwebsite>https://www.eve.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/Eve/b449c147-d0e3-4020-b7a6-2cecb69ba19d</Applyto>
      <Location>London</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>79050943-8aa</externalid>
      <Title>SMB Account Executive, Industries</Title>
      <Description><![CDATA[<p><strong>About the role</strong></p>
<p>As a SMB Account Executive on Anthropic&#39;s Industries team, you&#39;ll drive adoption of safe, frontier AI by securing strategic deals with small and medium businesses across key verticals. You&#39;ll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Drive revenue and win new business: Own a revenue target and all aspects of the sales cycle from prospecting to close, identifying high-potential opportunities and executing strategies to capture them</li>
<li>Service inbound demand efficiently: Respond to and qualify inbound leads using a combination of digital engagement and strategic outreach to maximize conversion rates and deal velocity</li>
<li>Execute strategic outbound campaigns: Identify and pursue target accounts using data-driven insights, deploying scaled outreach tactics while maintaining personalized engagement for key opportunities</li>
<li>Deliver exceptional customer experiences: Guide customers through evaluation and onboarding, recommending relevant use cases and ensuring successful Claude deployment across their organizations</li>
<li>Contribute to the SMB GTM strategy: Experiment with new sales tactics, share learnings with the team, and help refine our approach to serving the SMB segment effectively</li>
<li>Collaborate cross-functionally: Partner with Product, Marketing, Customer Success, and other teams to deliver value to customers and provide market feedback to shape our roadmap</li>
<li>Optimise for efficiency: Identify opportunities to automate or streamline workflows, leveraging modern sales tools to enhance productivity and scale your impact</li>
</ul>
<p><strong>You may be a good fit if you have:</strong></p>
<ul>
<li>2+ years of B2B sales closing experience, preferably in a PLG or high growth SaaS company, with a proven track record of exceeding quota in high-velocity sales environments</li>
<li>Experience with automation and tooling: Demonstrated ability to leverage sales technology, automation, or workflows to enhance productivity and improve sales outcomes</li>
<li>Builder mentality: &#39;Roll up your sleeves&#39; approach with enthusiasm for experimentation. Thrive in ambiguity and bring structure to evolving processes</li>
<li>Data-driven mindset: Strong analytical skills with ability to prioritise opportunities based on signals and insights, making strategic decisions about resource allocation</li>
<li>Excellent time management: Proven ability to manage multiple opportunities simultaneously with strong territory planning and account prioritisation skills</li>
<li>Outstanding communication: Confidence presenting to various audiences and building rapport across organisational levels, from practitioners to executives</li>
<li>Technical aptitude: Comfort discussing technical products and solutions with both technical and non-technical stakeholders</li>
<li>Growth mindset: Highly coachable and adaptable, with genuine passion for continuous learning and improvement</li>
<li>Process excellence: Strong experience with CRM systems, pipeline management, and forecasting. Comfortable with structured methodologies while remaining flexible</li>
<li>Mission alignment: Passion for advanced AI systems and ensuring they are developed safely and deployed responsibly</li>
</ul>
<p><strong>Logistics</strong></p>
<ul>
<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience</li>
<li>Location-based hybrid policy: 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</li>
<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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</li>
</ul>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. 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&#39;re interested in this work.</strong></p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$222,800 - $290,000USD</Salaryrange>
      <Skills>B2B sales closing experience, Automation and tooling, Builder mentality, Data-driven mindset, Excellent time management, Outstanding communication, Technical aptitude, Growth mindset, Process excellence, Mission alignment, PLG or high growth SaaS company, CRM systems, Pipeline management, Forecasting</Skills>
      <Category>Sales</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic&apos;s mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/jobs</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/4931782008</Applyto>
      <Location>San Francisco, CA | New York City, NY</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>e6e7f38e-18f</externalid>
      <Title>Director, Business Partnering (People Team)</Title>
      <Description><![CDATA[<p><strong>Director, Business Partnering (People Team)</strong></p>
<p><strong>Location</strong></p>
<p>London</p>
<p><strong>Employment Type</strong></p>
<p>Full time</p>
<p><strong>Location Type</strong></p>
<p>Hybrid</p>
<p><strong>Department</strong></p>
<p>OperationsPeople</p>
<p>Synthesia is the world&#39;s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.</p>
<p>As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organisations.</p>
<p>Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia&#39;s VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.</p>
<p><strong><strong>About the role</strong></strong></p>
<p>We&#39;re looking for a Director of Business Partnering to continue to build and lead our People Partnering function. This is a strategic, high-impact role that will help shape the way our organisation scales during a period of hyper-growth.</p>
<p>You&#39;ll partner closely with our People Ops team and leaders across all divisions — Product + Engineering, Commercial (Sales, Marketing, CS), Operations, and G&amp;A — with a particular emphasis on strengthening our commercial partnering capabilities.</p>
<p>You&#39;ll be leading a phenomenal team of 3 People partners with a mandate to grow that team in order to support our fast growing organisation. We want to drive a People Partnering model that is:</p>
<ul>
<li>AI-first</li>
</ul>
<ul>
<li>Deeply data and insight-driven</li>
</ul>
<ul>
<li>Relentlessly business-oriented and strategic</li>
</ul>
<ul>
<li>Designed to scale globally</li>
</ul>
<p><strong><strong>What You&#39;ll Do</strong></strong></p>
<p>_Lead the People Partnering Function_</p>
<ul>
<li>Design and build the People Partnering model for a fast-scaling, product-led AI company.</li>
</ul>
<ul>
<li>Establish a strategic and consultative approach that ties People decisions directly to business outcomes.</li>
</ul>
<ul>
<li>Develop frameworks for organisation design, headcount planning, succession, talent management, and change management.</li>
</ul>
<p>_Support Hyper-Growth &amp; Organisational Scaling_</p>
<ul>
<li>Anticipate organisational needs ahead of growth.</li>
</ul>
<ul>
<li>Ensure we are set up to scale sustainably across regions and functions.</li>
</ul>
<ul>
<li>Partner on workforce planning, role design, and leadership capability building.</li>
</ul>
<p>_Partner with Senior Leaders Across the Company, together with People Partners_</p>
<ul>
<li>Act as a trusted advisor to executives in Commercial, Product &amp; Engineering, and Operations.</li>
</ul>
<ul>
<li>Bring rigour, insight, and challenge to leadership decision-making.</li>
</ul>
<ul>
<li>Translate business strategy into talent and organisation-scaling strategies.</li>
</ul>
<p>_Drive an AI-First, Data-Driven People Partnering Practice_</p>
<ul>
<li>Partner with our People Ops team to use insights, dashboards, AI tools, and predictive data models to inform decision-making.</li>
</ul>
<ul>
<li>Evaluate and implement AI-native processes that allow the People team to scale faster than headcount.</li>
</ul>
<ul>
<li>Champion experimentation and automation across the People Partnering function.</li>
</ul>
<p>_Be a Cultural Influence_</p>
<ul>
<li>Model Synthesia&#39;s values and help leaders embed them across rapidly expanding teams.</li>
</ul>
<ul>
<li>Contribute to a healthy, high-performance culture during a period of fast evolution.</li>
</ul>
<p><strong><strong>What We&#39;re Looking For</strong></strong></p>
<ul>
<li>Extensive experience in People Business Partnering roles, including partnering closely with commercial GTM teams.</li>
</ul>
<ul>
<li>Experience supporting high-growth tech or scaling organisations. Ideally have led function during hypergrowth: from 300-1000+ employees.</li>
</ul>
<ul>
<li>Ability to manage complexity across global regions, with a focus on UK, US, France and DACH regions.</li>
</ul>
<ul>
<li>Demonstrated ability to design and evolve org structures during rapid scale and leadership coaching.</li>
</ul>
<ul>
<li>A data-driven, structured problem-solver who uses insights, dashboards, and metrics in every recommendation.</li>
</ul>
<ul>
<li>A builder mentality — scrappy, adaptable, unphased by ambiguity, and able to switch between strategy and execution.</li>
</ul>
<ul>
<li>Clear, confident communication and executive-level influencing skills.</li>
</ul>
<p><strong><strong>Apply Now</strong></strong></p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$200 million Series E funding round, $4 billion valuation</Salaryrange>
      <Skills>People Business Partnering, commercial GTM teams, high-growth tech, scaling organisations, org structures, leadership coaching, data-driven problem-solving, structured problem-solving, insights, dashboards, metrics, builder mentality, scrappy, adaptable, unphased by ambiguity, clear communication, executive-level influencing skills, AI-first, deeply data and insight-driven, relentlessly business-oriented and strategic, designed to scale globally</Skills>
      <Category>Operations</Category>
      <Industry>Technology</Industry>
      <Employername>Synthesia</Employername>
      <Employerlogo>https://logos.yubhub.co/synthesia.io.png</Employerlogo>
      <Employerdescription>Synthesia is the world&apos;s leading AI video platform for business, used by over 90% of the Fortune 100. The company is headquartered in London, with offices and teams across Europe and the US.</Employerdescription>
      <Employerwebsite>https://www.synthesia.io/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.ashbyhq.com/synthesia/0e677449-dc0d-4aae-b987-9e7ac2aa3ee5</Applyto>
      <Location>London</Location>
      <Country></Country>
      <Postedate>2026-03-06</Postedate>
    </job>
    <job>
      <externalid>4f0d2105-8f4</externalid>
      <Title>Data Scientist</Title>
      <Description><![CDATA[<p>We&#39;re looking for a Data Scientist to join our team and help us build AI systems that fundamentally change how data science gets done. As a Data Scientist at Perplexity, you will be responsible for building AI agents that conduct full analyses autonomously, forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You will also be responsible for making the entire data warehouse AI-readable so any system can query it accurately.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$210K - $330K</Salaryrange>
      <Skills>Deep SQL expertise, Pipeline experience, Enough software engineering chops to be dangerous, Genuinely excited about AI, Builder mentality, Autonomy, Experience with dbt, Snowflake administration and optimization, You&apos;ve built Slack bots, internal CLI tools, or developer productivity tools that people actually used, Background in AI agent frameworks, Experience with BI tools, A/B testing and experimentation, Early-stage startup experience</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Perplexity</Employername>
      <Employerlogo>https://logos.yubhub.co/perplexity.com.png</Employerlogo>
      <Employerdescription>Perplexity is an AI company that builds an AI answer engine for the world. They are looking for a Data Scientist to join their team and help them build AI systems that fundamentally change how data science gets done.</Employerdescription>
      <Employerwebsite>https://jobs.ashbyhq.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.ashbyhq.com/perplexity/d680e788-14d3-43f6-8ce8-5df486ca32d0</Applyto>
      <Location>San Francisco</Location>
      <Country></Country>
      <Postedate>2026-03-04</Postedate>
    </job>
  </jobs>
</source>