Qureos Mentor

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>
We're seeking a strategic communications professional to join our team and drive external storytelling for the engineering and infrastructure work behind serving Claude. This role will be the primary external comms partner to the teams responsible for how Claude performs in production, including capacity, reliability, and engineering.</p>
<p>
In this role, you'll craft compelling narratives that make Claude's inference and reliability work accessible and credible to developers, customers, and the press &mdash; across launches, milestones, and the steady drumbeat of updates in between. You'll build messaging frameworks for technical topics without losing the substance, and lead the communications response when an engineering issue needs a coordinated, cross-functional response. You'll also coach engineering and product leaders to be effective spokespeople.</p>
<p>
The ideal candidate is a creative storyteller with strong proactive and reactive muscle, has a genuine curiosity about how systems perform and the judgment to navigate nuanced, technical topics. You should be able to move fast, think critically, and collaborate across a wide range of technical and non-technical teams. You'll sit on the Product Communications team, working day to day with engineering and product leaders.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Own external comms for Claude's inference and reliability story across launches, milestones, and the steady drumbeat of updates</li>
<li>Carry both the high-altitude narrative for Claude's engineering work and the technical translation that makes it credible</li>
<li>Develop messaging frameworks for technical topics that need to land with developers, customers, and press without losing the substance</li>
<li>Lead comms when a technical or engineering issue needs a coordinated cross-functional response</li>
<li>Partner closely with the product organization on decisions that impact users and our brand, bringing those considerations into the room early and often</li>
<li>Coach engineering and product leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between</li>
<li>Have strong instincts for how messaging will land across audiences and channels and the judgment to adjust strategy accordingly</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you:</b></h2>
<ul><li>Have 8&ndash;12 years of experience in communications focused on infrastructure, engineering, or technical products</li>
<li>Are highly online and fluent in where technical conversations happen, from developer forums to X to Hacker News</li>
<li>Are genuinely curious about how customers actually experience performance, capacity, and reliability</li>
<li>Have experience in communications focused on infrastructure, engineering, or technical products</li>
<li>Write with discipline and accuracy around complex technical concepts and sensitive topics</li>
</ul><h2 class="jobSectionHeader"><b>Strong candidates may also:</b></h2>
<ul><li>Have a deep understanding of both traditional media channels and the emerging platforms where technical communities engage</li>
<li>Be high-agency and low-ego, with a bias to action</li>
<li>Have existing relationships with reporters and analysts covering AI, engineering, or developer ecosystems</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><div><b>
Annual Salary:</b></div><div>
$255,000 - $320,000 USD</div></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>

Communications Lead, Infrastructure and Engineering

<div>
 <strong>
  About Anthropic
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an Analytics Engineer, you will be an early member of the Data Science &amp; Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company&rsquo;s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
  </li>
  <li>
   Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
  </li>
  <li>
   Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
  </li>
  <li>
   Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
  </li>
  <li>
   Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
  </li>
  <li>
   Influence the future roadmap of Product and GTM teams from a data systems perspective
  </li>
  <li>
   Become an expert in our organization&rsquo;s data models and the company's data architecture
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Good Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
  </li>
  <li>
   A passion for the company's mission of building helpful, honest, and harmless AI.
  </li>
  <li>
   Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
  </li>
  <li>
   Expertise in SQL and Python to transform data into accurate, clean data models.
  </li>
  <li>
   Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
  </li>
  <li>
   A bias for action and urgency, not letting perfect be the enemy of the effective.
  </li>
  <li>
   A &ldquo;full-stack mindset&rdquo;, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
  </li>
  <li>
   Experience building an Analytics Data Engineering (or similar) function at start-ups.
  </li>
  <li>
   A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Minimum education:
 </strong>
 Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience
 <br/>
 <br/>
 <strong>
  Required field of study:
 </strong>
 A field relevant to the role as demonstrated through coursework, training, or professional experience
 <br/>
 <br/>
 <strong>
  Minimum years of experience:
 </strong>
 Years of experience required will correlate with the internal job level requirements for the position
 <br/>
 <br/>
 <strong>
  Location-based hybrid policy:
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 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/>
 <strong>
  Your safety matters to us.
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  How We're Different
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 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.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process.
</div>


Analytics Data Engineer

<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>
As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by delivering the analysis and analytics infrastructure that shape how Finance &amp; Strategy (F&amp;S) understands Anthropic's business. In this unique company, technology, and moment in history, your work will directly inform how leadership navigates one of the fastest-growing businesses in the world.</p>
<p>
This is a role spanning data analysis, business intelligence and analytics engineering, partnering closely across several cross functional teams including Data Engineering, Data Science &amp; Analytics, and Finance &amp; Strategy. You will produce high-impact, high-visibility analyses that answer leadership's most pressing questions about the financial trajectory of the business&mdash;revenue drivers, margin dynamics, compute economics, customer segments, and the forces shaping our P&amp;L. You'll also build the datasets, pipelines, and BI foundations that make those insights possible at scale and ensure every number the executive team sees is one they can trust. You've worked in cultures of excellence in the past and are eager to apply that experience to both the craft of analysis and the rigor of building durable data systems as our company goes through a phase of rapid growth.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul>
<li><p>Deliver high-impact analyses and deep dives that surface key insights about Anthropic's financial performance directly to finance and executive leadership</p>
</li>
<li><p>Build and maintain canonical datasets, dashboards, and scaled reporting solutions that provide real-time financial visibility across the company</p>
</li>
<li><p>Partner with Finance &amp; Strategy teams (Product, Compute, GTM, and Corporate) to answer their most important questions and streamline recurring analytical workflows</p>
</li>
<li><p>Establish analytics engineering and BI best practices for F&amp;S, including data management, governance, and reporting standards</p>
</li>
<li><p>Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines supporting finance and accounting analytics</p>
</li>
<li><p>Champion data-informed decision making across the organization</p>
</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you:</b></h2>
<ul>
<li><p>Have 6+ years of hands-on experience spanning data analysis, business intelligence, and/or analytics engineering, ideally with exposure to Finance &amp; Strategy, Data Infrastructure and Analytics Engineering</p>
</li>
<li><p>Are highly proficient in SQL and Python for analysis, data manipulation, ETL/ELT, and automation</p>
</li>
<li><p>Have a track record of producing analyses that have meaningfully influenced business or leadership decisions</p>
</li>
<li><p>Have extensive experience with data visualization and using Claude / AI tools for data analysis and BI</p>
</li>
<li><p>Have experience with cloud platforms (AWS, GCP) and modern data stack tools (dbt, Airflow, etc.)</p>
</li>
<li><p>Have hands-on experience working with financial systems and building downstream data models from these systems</p>
</li>
<li><p>Excel at translating complex business questions into both sharp analyses and durable technical solutions, and can communicate effectively with technical and non-technical stakeholders, including executives</p>
</li>
<li><p>Are detail-oriented with a deep commitment to data accuracy</p>
</li>
<li><p>Thrive in fast-paced environments, can manage multiple priorities while maintaining high-quality deliverables</p>
</li>
<li><p>Operate with an ownership mindset, taking projects end-to-end from ambiguous question to trusted answer and seeing them through to impact</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Strong candidates may have:</b></h2>
<ul>
<li><p>Championed AI driven analytics and financial analysis within their organizations</p>
</li>
<li><p>Prior experience in high-growth technology companies or startups</p>
</li>
<li><p>Strong financial acumen with deep understanding of finance principles</p>
</li>
<li><p>Knowledge of statistical analysis and advanced analytics techniques</p>
</li>
<li><p>Familiarity with data governance best practices and experience implementing data quality frameworks</p>
</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><div><b>
Annual Salary:</b></div><div>
$270,000 - $320,000 USD</div></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>

Analytics, Finance & StrategyNew

Join Anthropic and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Anthropic

About Company

Communications Lead, Infrastructure and Engineering

Analytics Data Engineer

Analytics, Finance & StrategyNew