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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

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

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<br>
<br>
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<br>
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Washington D.C., DC, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>3 years of experience designing, scoping, executing, and delivering research and analysis projects.<br>
</li>
<li>Experience translating business problems into research questions and translating research findings and insights into marketing recommendations.<br>
</li>
<li>Experience managing qualitative, quantitative and measurement agencies.<br>
</li>
<li>Experience managing cross-functional or cross-team projects.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience using AI tooling to conduct or facilitate research and measurement.</li>
<li>Knowledge of Washington DC and the US political environment.</li>
<li>Knowledge of policy in international and multinational (e.g. EU) policymaking processes.</li>
<li>Demonstrated interest in AI and its impact on society.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
In order to build excellent products and tell great stories, we must first profoundly understand our audiences - what motivates them, why they think and behave the way they do, and what they think of our brands and products. The Consumer Apps Marketing Research and Insights team is at the heart of developing this understanding.<div><p>
As a Research Manager, you will be embedded within the Reputation Marketing team, and inform how Google builds its reputation with the priority audiences shaping the AI landscape (policymakers, scientists, voters, and more). In this role, you will utilize both traditional research methods and new AI tooling to help the Reputation team understand and respond to the changing AI landscape via sharp, insights-driven marketing and communications.</p><p>
Your primary focus will be partnering with the AI Responsibility team: conducting and synthesizing brand tracking, qualitative research, and real-time social analysis across a variety of core issue areas (science, health, government, economy, and more). Your role will be to identify the audiences that matter in shaping the narratives for each issue, understand how those narratives spread and solidify, and provide tactical recommendations for how the AI Responsibility team should react. Managing stakeholder relationships, staying informed on Marketing priorities, scoping syntheses/studies to support strategy discussions, and managing a measurement framework will be an integral part of your day-to-day work.</p><p>
As a secondary-priority, you will help manage the global policymaker sentiment tracker. Your key responsibilities include helping to improve the program&rsquo;s operations, synthesizing findings and connecting dots between other programs, and presenting findings to teams across Google.</p></div>
Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems-from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can-changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $116000 - $167000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Scope custom research from start to finish, including: designing an effective brief, managing Requests for Proposals (RFPs), onboarding research agencies, choosing a methodology, executing the study, and deploying insights and recommendations via compelling narratives in a variety of formats (decks, sites, emails, presentations, etc.).</li>
<li>Distill findings from a variety of sources into cohesive research narratives, ultimately delivering the underpinning insight that drives critical leadership decision-making.</li>
<li>Manage the global policymaker tracking program, synthesize insights from the research, and present to teams throughout Google.</li>
<li>Share research findings and insights via presentations in forums large and small, with everyone from junior to executive staff.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research and Insights Manager, Marketing, Reputation and AI Responsibility

<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&rsquo;re looking for a creative, high-agency content producer to help us tell internal stories about the people and work at Anthropic. In this role, you&rsquo;ll work closely with the Internal Editorial Lead to discover and share stories about the progress, moments, and people that define our culture through videos, audio, physical artifacts &mdash; whatever format makes the most sense for the material.</p>
<p>
We&rsquo;re looking for someone who is <i>extremely</i> creative: the work is wildly interesting, and the way we share it should be equally compelling. This person should be ambitious in their pursuit of thinking outside the box, willing to take risks, and not be precious about the final product being a little rough around the edges. (Turnaround times will be quick!)</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li>Work with the Internal Editorial Lead to identify the stories</li>
<li>Tell those stories in unexpected ways (e.g. through videos, in-office pop-up exhibits, podcast series)</li>
<li>Own the end-to-end content production process in-house</li>
</ul><h2 class="jobSectionHeader"><b>What We're Looking For</b></h2>
<ul><li>A knack for finding and building narratives</li>
<li>Experience producing content in different mediums (e.g. video, audio, physical artifacts)</li>
<li>Experience in high-trust, time-sensitive environments</li>
<li>Ability to move extremely quickly and fluidly</li>
<li>Based in San Francisco</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>
$295,000 - $345,000 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>

Internal Content Producer

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</p><h3 class="jobSectionHeader"><b>
About the Company</b></h3><p>
A fast-growing, venture-backed AI company building the training data and evaluation infrastructure that leading frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. One of the fastest-growing companies in its cohort.</p><p>
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: AI training data &amp; model evaluation infrastructure</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
A founding-level role at the intersection of technical execution and strategic leadership. You'll own high-impact initiatives end-to-end &mdash; from requirements through delivery &mdash; managing teams of engineers, data scientists, and ML specialists while shipping production code yourself, and interfacing directly with research teams at leading AI labs.</p><p><b>
What you'll be doing</b></p><ul><li>
Own end-to-end technical initiatives: scoping requirements, building solutions, managing experts through delivery, and shipping code yourself when it unblocks the team.</li><li>
Design and build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines across multiple concurrent lab contracts.</li><li>
Manage and mentor teams of software engineers, data scientists, and ML specialists; set technical direction and hold the bar for execution velocity.</li><li>
Interface directly with research teams at leading AI labs to translate their needs into technical specs and ensure delivery meets their standards.</li><li>
Debug production issues live under pressure; rapidly context-switch between hands-on engineering, team leadership, and strategic problem-solving.</li><li>
Support the founding team on the highest-impact work &mdash; internal tooling, major contracts, and hiring.</li></ul><p><b>
Tech stack:</b> Python; data pipelines, APIs, ML/AI tooling</p><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li>
CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects</li><li>
Manage teams of technical experts across software engineering, data science, and machine learning</li><li>
Build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines</li><li>
Drive technical and operational initiatives end-to-end: scoping requirements, building solutions, and managing technical experts</li><li>
Interface directly with engineering and research teams at leading AI labs</li><li>
Support founding team on high-priority technical projects and operational initiatives</li><li>
Proficiency in Python and production-quality code</li><li>
Experience with data pipelines, APIs, or ML/AI tooling</li><li>
Strong leadership experience and communication skills</li><li>
Ability to context-switch rapidly between technical and strategic work</li><li>
Intense work ethic, agency, and drive</li><li>
Competitive nature and track record of exceptional achievement</li><li>
Undergraduate degree from the U.S., Canada, or the U.K.</li></ul><h3 class="jobSectionHeader"><b>
Green Flags</b></h3><ul><li>
Background in software engineering, ML engineering, AI research, or computer science</li><li>
Experience at top tech company (FAANG, frontier AI lab) or quantitative trading firm</li><li>
Prior startup experience or founding experience</li><li>
Willingness to work long hours and weekends when projects demand it</li></ul><h3 class="jobSectionHeader"><b>
Red Flags</b></h3><ul><li>
Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.</li><li>
Struggles with ambiguity or lacks examples of owning large, complex projects.</li><li>
Only interested in remote work &mdash; role is strictly in-person.</li><li>
Can't articulate why they want to pivot into AI ops or join a startup now.</li><li>
No experience managing teams or unclear on motivating people toward execution.</li></ul><h3 class="jobSectionHeader"><b>
Why Join</b></h3><ul><li>
Direct access to the founding team on their highest-priority problems</li><li>
Exposure to leading frontier AI labs; work that powers major contracts</li><li>
Up to $300K total cash comp plus meaningful equity in a fast-scaling company</li></ul><h3 class="jobSectionHeader"><b>
Details</b></h3><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site &mdash; strictly in-person</li><li><b>
Compensation:</b> $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</li><li><b>
Visa sponsorship:</b> None available</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Strategic Projects Lead - Coding

Ontrac Solutions

<div><h1 class="jobSectionHeader"><b>Overview</b></h1>
<p>We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.</p>
<p>The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>GenAI Architecture &amp; Production Readiness</b></h3>
<p>Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.</p>
<p>Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.</p>
<p>Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.</p>
<p>Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.</p>
<p>Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.</p>
<h3 class="jobSectionHeader"><b>Banking Use-Case Delivery</b></h3>
<p>Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.</p>
<p>Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.</p>
<p>Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.</p>
<p>Troubleshoot and resolve complex issues across non-production and production environments.</p>
<p>Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.</p>
<p>Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.</p>
<h3 class="jobSectionHeader"><b>Governance, Risk &amp; Compliance</b></h3>
<p>Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.</p>
<p>Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.</p>
<p>Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.</p>
<p>Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.</p>
<p>Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.</p>
<h3 class="jobSectionHeader"><b>Organizational Influence &amp; Mentorship</b></h3>
<p>Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.</p>
<p>Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.</p>
<p>Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.</p>
<p>Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.</p>
<h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<p>7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.</p>
<p>2+ years of hands-on Python programming experience.</p>
<p>2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.</p>
<p>2+ years of experience with LLMs, prompt engineering, and RAG architecture.</p>
<p>2+ years of experience with vector databases, semantic search, and retrieval systems.</p>
<p>2+ years of experience with API-driven, cloud-native architectures.</p>
<p>2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.</p>
<p>Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.</p>
<h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<p>Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.</p>
<p>Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.</p>
<p>Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.</p>
<p>Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.</p>
<p>Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.</p>
<p>Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.</p>
<p>Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.</p>
<p>Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.</p>
<h2 class="jobSectionHeader"><b>Ideal Candidate Profile</b></h2>
<p>The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.</p>
<p>This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</p></div>

Principal AI 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 a Senior Media Manager at Anthropic, you will lead all paid media for our enterprise business and have key contributions for our broader brand media initiatives. You'll own how Anthropic and Claude reach the people who decide how organizations adopt AI, working within the Brand &amp; Integrated Marketing team to turn commercial objectives into paid media plans that reach executives and consumers at the moments that matter.</p>
<p>
In this role, you'll own the enterprise paid media strategy end to end, including channel mix, budget allocation, campaign architecture, and measurement, across paid social, programmatic, video, broadcast, audio, out-of-home, and trade and industry media. You'll develop a point of view on where our investment belongs and make the case for it with evidence in smart, strategic ways that can be applied to our entire media mix. You'll partner closely with Product Marketing, Growth, Sales, and Marketing Data Science, and you'll manage the agency, vendor, and platform relationships that bring the work to life, bringing both strategic judgment and hands-on rigor to the execution.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li>Own Anthropic's paid media strategy for the enterprise business, from channel mix and budget allocation through campaign execution and measurement</li>
<li>Lead paid media planning and buying across the full channel set (paid social, programmatic, video, broadcast, audio, out-of-home, print, and trade and industry media) reaching the executives and functional leaders who shape how their organizations adopt AI</li>
<li>Partner with brand marketing stakeholders to ensure media learnings drive better decisions across every initiative</li>
<li>Serve as the media point of contact for the enterprise business, partnering with Product Marketing, Growth, and Sales to translate commercial objectives into media strategy</li>
<li>Allocate and optimize the enterprise media budget across channels based on performance data, market dynamics, and strategic priorities</li>
<li>Develop an independent point of view on channel mix and audience strategy, and advocate for it with evidence rather than deferring to agency recommendations</li>
<li>Build a durable understanding of how business decision-makers consume media, and use it to challenge assumptions carried over from consumer planning</li>
<li>Manage agency, vendor, and platform partner relationships day to day, holding partners accountable for strategic alignment and execution quality</li>
<li>Work with Marketing Data Science to build the measurement frameworks that show whether our paid media worked: brand lift, reach and frequency modeling, attribution, and pipeline impact</li>
<li>Present media strategy, performance insights, and recommendations to marketing leadership and cross-functional stakeholders</li>
<li>Track the media landscape, emerging platforms, and competitive activity across the AI industry to identify opportunities before they are obvious</li>
<li>Build and refine planning, execution, and reporting processes that scale as the organization grows</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you</b></h2>
<ul><li>Extensive experience in paid media planning and strategy, including owning channel mix, budget allocation, and audience strategy for campaigns at meaningful scale on both B2B and B2C brands</li>
<li>Have planned and bought across both upper-funnel and lower-funnel paid channels, and understand how each behaves differently</li>
<li>Bring an independent point of view on where media investment belongs, and can defend it with evidence</li>
<li>Are highly analytical and comfortable using data to inform strategy, optimize campaigns, and demonstrate return on investment</li>
<li>Have managed media budgets and made real trade-offs between competing priorities</li>
<li>Are skilled at briefing agencies well and holding partners accountable for both strategy and execution</li>
<li>Can translate business objectives into actionable media plans, and communicate strategy clearly to technical and non-technical audiences</li>
<li>Work effectively in fast-moving, ambiguous environments and can balance longer-term planning with rapid iteration</li>
<li>Enjoy collaborating across marketing, product, and communications teams</li>
<li>Are excited about Anthropic's mission to develop AI that is safe and beneficial</li>
</ul><h2 class="jobSectionHeader"><b>Strong candidates may also have</b></h2>
<ul><li>Experience planning paid media against business decision-makers in enterprise software, B2B technology, or professional services</li>
<li>Familiarity with the media environments where business audiences actually spend time, including business news, trade and industry media, professional networks, and business podcasts</li>
<li>Background spanning both brand and performance marketing, with an understanding of how media strategy shifts across the funnel</li>
<li>Familiarity with marketing mix modeling, brand lift studies, multi-touch attribution, and other advanced measurement approaches</li>
<li>Experience connecting paid media performance to downstream pipeline and revenue outcomes</li>
<li>Experience with international media planning and navigating diverse market dynamics</li>
<li>Experience building media capabilities and processes at a high-growth company</li>
<li>Understanding of the AI industry landscape, including key audiences, competitive dynamics, and emerging use cases</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>
$255,000 - $320,000 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>

Senior Media Manager

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