About Warden

Safeguarding AI Transformation in HR

Join Warden AI and build the independent oversight layer for AI in HR. Explore open roles across the US, UK and EU and help make AI hiring fair and compliant.

We’re building the independent oversight layer for AI decision-making systems. <br><br>Our mission is to help organizations integrate AI responsibly and compliantly by monitoring the behavior of AI systems. Through third-party audits, compliance checks, and transparent evidence trails, we help reduce risk, strengthen trust, and protect consumers from flawed or unfair AI.

Today, our focus is on HR and HR Tech, where AI adoption is accelerating. <br><br>We work with HR tech vendors and enterprise talent teams to evaluate AI decisioning, meet regulatory requirements, and provide clear, legal-grade assurance to customers and candidates.
<br><br>Warden AI is growing quickly across the US, EU and UK. Our customers include leading HR technology platforms such as Greenhouse, Sense, Juicebox, and Alex.&nbsp;

About Warden AI

Gallery

Private health insurance in the US and the UK, so you and your family can get the care you need.

Health cover

401(k) retirement plans for the US and workplace pension and salary sacrifice schemes in place for the UK.

401(k) retirement plans

Time together in our Austin HQ and London offices, with room to work from home.

Flexible working

Life at Warden AI

<html><head></head><body><div>
<div><strong>About Warden AI</strong></div>
<div>Warden AI helps HR Tech vendors, staffing firms, and employers prove and improve the fairness, accuracy, and compliance of their AI hiring systems. In a fast-changing regulatory environment, organizations need a trusted partner to validate their AI, and Warden is quickly becoming the default solution.</div>
<div>&nbsp;</div>
<div>In 2025, Warden grew from 4 to 40 customers. In 2026, we’ve already more than doubled ARR and are growing faster every quarter. That growth is driven not just by market demand, but by something rarer: a genuine network effect. Customers want to promote working with Warden because it helps them win their own deals.</div>
<div>&nbsp;</div>
<div><strong>About the role</strong></div>
<div>We're hiring a Senior Applied Scientist / Data Scientist to run highly defensible bias audits of high-stakes AI systems, used everywhere from startups to industry-leading enterprises. These audits carry real weight with regulators, courts, customers and candidates, and the methodology behind them has to hold up. The role spans AI system evaluation, rigorous statistical analysis, synthetic data generation, and an applied understanding of hiring and selection procedures.</div>
<div>&nbsp;</div>
<div>You'll join a team with deep expertise in behavioral and social sciences, evaluation methodology, and structured bias testing. You'll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within real product goals and constraints, built through meaningful, hands-on experience shipping at startup speed.</div>
<div>&nbsp;</div>
<div>You will report to the CTO and work closely with the founders and product team across hands-on analysis, methodological design, and strategic thinking. As one of a small number of data hires, you will have high agency to shape both how our analytical function evolves and the scope of your own role as we grow.</div>
<div>&nbsp;</div>
<div><strong>What you’ll do</strong><br>Here are a few examples of things you might be working on:</div>
<div>
<ul>
<li>Set and uphold rigorous statistical methodology. Define the statistical tests, fairness metrics, sampling strategies, and evaluation frameworks we rely on, and embed the checks and validation patterns that keep our analytical work accurate, reproducible, and defensible.</li>
<li>Translate regulations and standards into practical tests. Work with our policy experts to translate legal requirements, guidance, and emerging HR and AI standards into clear, practical audit methodologies.</li>
<li>Design the foundations for audit execution. Create the datasets, test frameworks, workflows, and analysis patterns that enable consistent, efficient, and high-quality audits, and help establish the data partnerships that inform our synthetic data generation and audit methodology.</li>
<li>Analyze and interpret audit results. Assess what results do and don't show given uncertainty and limitations, and shape how findings are presented to customers through our reports and dashboards, including actionable insight like pointing to the likely source when an audit fails.</li>
<li>Support key high-stakes conversations. Bring technical authority on data, methodology, and statistical defensibility to stakeholder discussions, including with customers' own data science, legal and compliance teams.</li>
<li>Document and defend our methodology. Write the accessible explanations, white papers and industry reports that let regulators, customers and outside experts scrutinize our approach and trust the results.</li>
</ul>
</div>
<div>&nbsp;</div>
<div>
<div><strong>What you should bring</strong></div>
<ul>
<li>6+ years in a commercial, high-performing product organization doing applied statistics and data science - not solely academic or research-lab experience.</li>
<li>Strong statistical and probabilistic reasoning, with hands-on fluency in confidence intervals, hypothesis testing, power analysis, experimental design, causal inference, and Bayesian modeling.</li>
<li>Experience designing evaluation methodologies - including black-box and counterfactual approaches - and the test datasets behind them, with good judgment on realism and validity limits.</li>
<li>Practical familiarity with evaluating AI systems and their failure modes, across classic ML models, LLM-based systems, and AI agents.</li>
<li>Fluency in Python for statistical analysis, data preparation, and reproducible evaluation workflows.</li>
<li>A rigorous approach that values evidence, clarity, and defensibility, producing analysis that stands up to scrutiny.</li>
<li>Comfort with open-ended problems and the ability to bring structure where none exists.</li>
<li>Clear, responsible communication, with the ability to adapt complex ideas for different audiences, and a collaborative, high-agency way of working with colleagues across the company and with customers.</li>
</ul>
</div>
<div>Nice to have, not required:&nbsp;</div>
<div>
<ul>
<li>Background in HR analytics / I/O psychology / Psychometrics (selection processes, adverse impact analysis, etc)</li>
<li>Familiarity with AI and hiring regulation, especially translating its requirements into testable criteria.</li>
<li>First-hand experience with how modern agentic AI systems are built and their behavior emerges</li>
<li>Experience with explainability for black-box systems (surrogate modeling, behavioral analysis, etc)</li>
</ul>
</div>
<div>&nbsp;</div>
<div><strong>This role isn’t for you if…</strong></div>
<div>
<ul>
<li>You've only worked in academic or research settings and haven't applied statistics to real commercial product decisions.</li>
<li>You prefer narrow, well-scoped analytical problems over work that spans statistics, regulation, product, and customer context.</li>
<li>You need complete information before acting, rather than exercising judgment under uncertainty and evolving guidance.</li>
<li>You'd rather follow established methods than create structure from ambiguity; defining and refining our evaluation process is core to the job.</li>
<li>You're uncomfortable owning the quality bar and being the one who decides whether an analysis is defensible enough to publish.</li>
<li>You prefer to stay behind the scenes rather than join high-stakes customer conversations where clarity and statistical judgement matter.</li>
<li>You'd rather avoid external scrutiny of your work; ours is shared with enterprise stakeholders and the wider ecosystem, including in public-facing materials.</li>
</ul>
</div>
<div>&nbsp;</div>
<div>
<div><strong>What we offer:</strong></div>
<ul>
<li>£100-120k+ base salary + meaningful equity in a rapidly growing business</li>
<li>Private health insurance</li>
<li>33 days holiday (incl. bank holidays)</li>
<li>Hybrid working model (3 days/week in our London office)</li>
<li>Learning and Development budget of £500 per year</li>
</ul>
</div>
<div>&nbsp;</div>
<div><strong>Interview process</strong></div>
<div>Our interview process involves the following stages:</div>
<div>
<ul>
<li>Initial screen (30min) - Intro call to align on your background and the role.</li>
<li>Founder screen (40min + 40min) - CEO: how you act, decide, and adapt, and how that translates into a high-agency, fast-moving startup environment. CTO: your fit against the role's requirements, from statistical rigor to product instinct.</li>
<li>Take-home task - Short analytical case study, designed for 2-3 hours, drawn from the challenges we face; it sets up the on-site case review.</li>
<li>On-site interview (50min + 50min) - A collaborative case review, and an evaluation scenario, reasoning through its design and uncertainties.</li>
<li>Reference checks &amp; Offer - We move quickly from references to a clear offer.</li>
</ul>
If you have any specific questions or want to talk through reasonable adjustments ahead of or during the application, please contact us at any point at hiring@warden-ai.com.</div>
<div>&nbsp;</div>
<div><strong>Equal opportunities for everyone</strong></div>
<div>Diversity and inclusion are a priority for us, and we are making sure we have lots of support for all of our people to grow at Warden AI. We embrace diversity in all of its forms and create an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of supporting the responsible adoption of AI systems.</div>
<div>&nbsp;</div>
<div>We’re an equal-opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status or disability status.</div>
</div></body></html>

Senior Applied Scientist / Data Scientist

<html><head></head><body><div>
<div><strong>About Warden AI</strong></div>
<div>&nbsp;</div>
<div>Warden AI helps HR Tech vendors, staffing firms, and employers prove and improve the fairness, accuracy, and compliance of their AI hiring systems. In a fast-changing regulatory environment, organizations need a trusted partner to validate their AI, and Warden is quickly becoming the default solution.</div>
<div>&nbsp;</div>
<div>In 2025, Warden grew from 4 to 40 customers. In 2026, we’ve already more than doubled ARR and are growing faster every quarter. That growth is driven not just by market demand, but by something rarer: a genuine network effect. Customers want to promote working with Warden because it helps them win their own deals.</div>
<div>&nbsp;</div>
<div><strong>About the role</strong></div>
<div>&nbsp;</div>
<div>We are hiring a Full-stack Product Engineer to help build and evolve the core product experiences of Warden’s AI assurance platform. The role spans frontend product development and backend services, turning complex analytical and audit workflows into clear, reliable software that customers can trust.</div>
<div>&nbsp;</div>
<div>You will join an existing engineering team and report to the CTO, working closely with product, data, and customer-facing teams. A strong candidate will bring a solid background in TypeScript and React, helping strengthen the team’s full-stack product development capabilities, particularly across TypeScript, React, and Next.js, while contributing to backend systems in Python. Your work will have visible impact on product quality, usability, and reliability across the platform.</div>
<div>&nbsp;</div>
<div>As one of our early product engineering hires, you will help shape how this role grows over time and take on more responsibility across product development as we scale.</div>
<div>&nbsp;</div>
<div><strong>What you’ll do</strong></div>
<div>&nbsp;</div>
<div>Here are a few examples of things you might be working on:</div>
<div>
<ul>
<li><strong>Build end-to-end product features</strong>, e.g. design and implement new dashboards, workflows, and UI components that help customers understand and act on AI audit results.</li>
<li><strong>Lead on frontend experiences</strong>, e.g. develop polished, accessible interfaces, working closely with product and design to get details right.</li>
<li><strong>Contribute to backend services</strong>, e.g. extend services that power audits, reports, and internal tooling, and wire them cleanly into the frontend.</li>
<li><strong>Translate product requirements into working software</strong>, e.g. break down loosely defined problems, propose pragmatic solutions, and iterate quickly based on feedback.</li>
<li><strong>Improve product quality and reliability</strong>, e.g. fix bugs, reduce edge cases, improve performance, and strengthen type safety and test coverage.</li>
<li><strong>Collaborate cross-functionally</strong>, e.g. work closely with data scientists, solutions engineers, and founders to ship features that solve real customer problems.</li>
<li><strong>Continuously improve the codebase</strong>, e.g. refactor areas you touch, improve developer ergonomics, and contribute to shared patterns and conventions.</li>
</ul>
</div>
<div>
<div><strong>What you should bring</strong></div>
<ul>
<li><strong>A self-starting, get-it-done attitude.</strong> You’re comfortable with ambiguity, take ownership, and move from idea to working software without needing constant direction.</li>
<li><strong>Strong TypeScript and React experience.</strong> You’ve shipped real, user-facing features and care about code quality, usability, and maintainability. Experience with Next.js is a plus.</li>
<li><strong>Full-stack mindset. </strong>You’re happy working across the stack and don’t see frontend and backend as rigid silos.</li>
<li><strong>Experience shipping production software.</strong> You’ve worked on systems that real users depend on and understand the importance of reliability, performance, and maintainable code.</li>
<li><strong>Pragmatic trade-off decision making. </strong>You know when “good enough” is the right choice to move fast, and when to slow down to build something more robust.</li>
<li><strong>Product-oriented thinking. </strong>You care about usability, clarity, and customer impact, not just “getting something to work.”</li>
<li><strong>Startup mindset.</strong> You thrive in fast-paced, early-stage environments, are excited to wear multiple hats, navigate ambiguity, and bring structure where needed.</li>
<li><strong>Curious about AI, compliance, or HR Tech. </strong>Experience in any of these is a plus, but not required.</li>
</ul>
</div>
<div>
<div><strong>This role isn’t for you if…</strong></div>
<ul>
<li><strong>You’re looking for a frontend or UI engineering role.</strong> This is a product engineering role that involves reasoning about systems, data, and trade-offs across the stack.</li>
<li><strong>You have limited frontend product experience. </strong>Attention to detail and a strong focus on usability and customer experience are core parts of this role, not optional extras.</li>
<li><strong>You’re primarily interested in backend or infrastructure work. </strong>This role requires leading product experiences end-to-end, from backend logic and data flows through to the customer-facing UI.</li>
<li><strong>You need very detailed specifications before starting work.</strong> You’ll often help shape solutions rather than just implement them.</li>
<li><strong>You don’t enjoy collaborating closely with non-engineers.</strong> Product, data, and customer context are core to the role.</li>
<li><strong>You prefer highly mature processes and tooling.</strong> We’re still building many of these, and you’ll be helping shape them as we grow.</li>
<li><strong>You want a narrow, fixed remit.</strong> Priorities shift, and we focus on the highest-impact work, even when it’s not squarely within a defined role.</li>
</ul>
</div>
<div><strong>What we offer</strong></div>
<ul>
<li>£100-120k+ base salary + meaningful equity in rapidly growing business</li>
<li>Private health insurance</li>
<li>33 days holiday (incl. bank holidays)</li>
<li>Hybrid working model (we spend 3 days/week in our London office)</li>
<li>Learning and Development budget of £500 per year</li>
</ul>
<div><strong>Interview process</strong><br>Our interview process involves the following stages:</div>
<div>
<ul>
<li><strong>Initial screen (30min)</strong> - Intro call to align on your background and the role.</li>
<li><strong>Founder screen (40min + 40min)</strong> - CEO: how you act, decide, and adapt, and how that translates into a high-agency, fast-moving startup environment. CTO: your fit against the role's requirements, from technical skills to product instinct.</li>
<li><strong>Take-home task</strong> - Practical task to demonstrate product development proficiency</li>
<li><strong>On-site interview (50min + 50min)</strong> - Final interview including task review and a system design exercise</li>
<li><strong>Reference checks &amp; Offer </strong>- We move quickly from references to a clear offer.</li>
</ul>
If you have any specific questions or want to talk through reasonable adjustments ahead of or during application please contact us at any point at hiring@warden-ai.com.</div>
<div>&nbsp;</div>
<div><strong>Equal opportunities for everyone</strong></div>
<div>&nbsp;</div>
<div>Diversity and inclusion are a priority for us, and we are making sure we have lots of support for all of our people to grow at Warden AI. We embrace diversity in all of its forms and create an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of supporting the responsible adoption of AI systems.</div>
<div>&nbsp;</div>
<div>We’re an equal-opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status or disability status.</div>
</div></body></html>

Senior Product Engineer

<html><head></head><body><div>
<div><strong>About Warden AI</strong></div>
<div>&nbsp;</div>
<div>AI is increasingly making decisions that shape people's lives, and there is still no reliable way to know which systems deserve trust. Warden is building that trust infrastructure: the independent testing, standards and certification that let organizations demonstrate their AI is fair and compliant.</div>
<div>&nbsp;</div>
<div>We started where the stakes are most personal: who gets hired. Today we audit AI hiring and HR systems for bias, and help vendors and employers map those results to emerging regulation, working with more than 60 HR Tech vendors including leading platforms like Greenhouse and Ashby, alongside a growing number of staffing firms and enterprise employers. In just a few years we have become the de facto standard in the category.</div>
<div>&nbsp;</div>
<div>We are ten people, doubling in revenue every six months, with net revenue retention of 130%+, and deliberately profitable-minded rather than growth-at-all-costs.</div>
<div>&nbsp;</div>
<div><strong>About the role</strong></div>
<div>&nbsp;</div>
<div>Our engineering team is a small group of senior engineers who build everything from the pipelines that run our audits to the dashboards and reports customers rely on. Those audits carry weight with regulators, courts and enterprise buyers, so the systems behind them must be reliable and secure, and their results defensible.</div>
<div>&nbsp;</div>
<div>As Head of Engineering, you'll lead and manage the team day to day, own engineering end to end, from architecture and delivery to security, and represent engineering to customers and auditors. It's a player-coach role, split roughly evenly between building and leading. You'll write production code yourself, and you'll also shape designs, hold a high bar in code review, and coach engineers through hard problems rather than solving them for them.</div>
<div>&nbsp;</div>
<div>Beyond running the team, you'll shape how it works, at a time when AI is changing how software gets built. We're looking for someone with the ambition to rethink what engineering looks like at Warden, so the team's capability keeps pace with both a fast-growing business and what AI makes possible.</div>
<div>&nbsp;</div>
<div><strong>What you'll do</strong></div>
<div>&nbsp;</div>
<div>Hands-on engineering</div>
<ul>
<li>Spend around half your time writing production code, from our audit pipelines to the platform and infrastructure behind them</li>
<li>Prototype new tooling and AI workflows yourself before rolling them out to the team</li>
<li>Take on work that unblocks the team, while keeping yourself off the critical path</li>
</ul>
<div>Technical direction</div>
<ul>
<li>Lead architecture decisions with the team, and own how the platform evolves as a whole</li>
<li>Keep our platform and infrastructure reliable, secure and scalable, and own incident response</li>
<li>Hold a high bar for quality, so our audit results are reproducible and defensible</li>
</ul>
<div>Planning and delivery</div>
<ul>
<li>Work with company leadership on a realistic roadmap, balancing new features against platform investment and technical debt</li>
<li>Lead day-to-day delivery, coordinating closely with our data and audit operations teams</li>
<li>Give company leadership clear visibility into progress, risks and trade-offs</li>
</ul>
<div>Team leadership and hiring</div>
<div>
<ul>
<li>Manage and develop every engineer, and shape the team's culture</li>
<li>Lead engineering hiring, from defining roles and setting the bar to running interviews</li>
<li>Grow the team's impact by rethinking its processes and tooling as AI changes what's possible</li>
</ul>
</div>
<div>Security and compliance</div>
<ul>
<li>Lead our ISMS and certification work, including our ISO 27001 and SOC 2 Type II audits</li>
<li>Ensure our systems and engineering practices meet our regulatory and contractual obligations, from privacy and security to how we use AI</li>
<li>Represent engineering in customers' security reviews and due diligence</li>
</ul>
<div><strong>What success looks like in your first 90 days</strong></div>
<div>
<ul>
<li>You understand our platform and how our audits work well enough to lead customer onboardings end to end</li>
<li>You've shipped code to production and taken a high-impact architecture decision from proposal to implementation with the team</li>
<li>You're the first point of contact for engineering and lead day-to-day delivery, keeping the team and company leadership clearly informed</li>
<li>Every engineer has had a growth conversation with you and knows what they're working toward</li>
<li>You're running key parts of our ISMS and have handled a customer security review on your own</li>
<li>You've developed an ambitious view of how AI can change the way we build software, and have started putting it into practice with the team</li>
<li>You've set next quarter's priorities with company leadership, and everyone understands the product and technical trade-offs</li>
</ul>
</div>
<div><strong>What you should bring</strong></div>
<div>
<ul>
<li><strong>Deep technical expertise.</strong> You've operated at staff+ level or equivalent in an engineering organization with a genuinely high bar.</li>
<li><strong>Technical and people leadership.</strong> You've set a team's technical direction and owned its delivery as tech lead, and line-managed engineers who got better because of you.</li>
<li><strong>Experience of real growth.</strong> You've helped an engineering team through fast growth at a successful startup or scale-up, including hiring and building processes that kept working without you.</li>
<li><strong>Enterprise B2B experience.</strong> You've built products for enterprise customers and earned the trust of their technical and security teams, from integration to due diligence.</li>
<li><strong>Product and business judgment.</strong> You think in business outcomes, aim effort at what matters most, and make sound calls with incomplete information, explaining them clearly to engineers and non-engineers alike.</li>
<li><strong>High agency.</strong> You don't wait for permission or full clarity. You take on problems nobody assigned you, adapt fast when things shift, and see work through to done.</li>
<li><strong>Ambition with AI.</strong> You've already changed how a team works with AI, beyond individual productivity, and have strong ideas about where it goes next.</li>
</ul>
</div>
<div><strong>This role isn't for you if…</strong></div>
<div>
<ul>
<li>You're looking for a management role where you no longer write code.</li>
<li>You'd prefer to stay hands-on and not manage people.</li>
<li>You want to focus on strategy and architecture, without day-to-day delivery.</li>
<li>You want to focus on day-to-day delivery, without setting and owning the technical direction.</li>
<li>You're looking to run an established engineering org, not build one.</li>
<li>You prefer to stay behind the scenes, away from customers and auditors.</li>
<li>You'd rather build features than invest in the people, processes and tools that expand what the team can deliver.</li>
</ul>
</div>
<div><strong>What we offer</strong></div>
<div>
<ul>
<li>£120-140k base salary + meaningful equity in a rapidly growing business</li>
<li>Private health insurance</li>
<li>33 days holiday (incl. bank holidays)</li>
<li>Hybrid working model (3 days/week in our London office)</li>
<li>Learning and Development budget of £500 per year</li>
</ul>
</div>
<div><strong>Interview process</strong></div>
<div>We move quickly, and we aim to make this a thoughtful, structured experience. It is as much about you assessing us as the other way around.</div>
<div>
<ul>
<li><strong>Initial screen (40 min).</strong> Intro call to align on your background and the role.</li>
<li><strong>Founder screen (40 min).</strong> How you act, decide and adapt, and how that translates to a high-agency, fast-moving startup.</li>
<li><strong>Take-home task.</strong> Practical task to demonstrate product development proficiency.</li>
<li><strong>On-site interview (50 min + 50 min).</strong> In-person interview including the task review and a system design exercise.</li>
<li><strong>Reference checks and offer.</strong> We move quickly from references to a clear offer.</li>
</ul>
If you have any specific questions or want to talk through reasonable adjustments ahead of or during the application, please contact us at any point at hiring@warden-ai.com.</div>
<div>&nbsp;</div>
<div><strong>Equal opportunities for everyone</strong></div>
<div>&nbsp;</div>
<div>Diversity and inclusion are a priority for us, and we are making sure we have lots of support for all of our people to grow at Warden AI. We embrace diversity in all of its forms and create an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of supporting the responsible adoption of AI systems.</div>
<div>&nbsp;</div>
<div>We're an equal-opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status or disability status.</div>
</div></body></html>

Head of Engineering

<html><head></head><body><div><strong>About Warden AI</strong></div>
<div>&nbsp;</div>
<div>AI is increasingly making decisions that shape people's lives, and there is still no reliable way to know which systems deserve trust. Warden is building that trust infrastructure: the independent testing, standards and certification that let organizations demonstrate their AI is fair and compliant.</div>
<div>&nbsp;</div>
<div>We started where the stakes are most personal: who gets hired. Today we audit AI hiring and HR systems for bias, and help vendors and employers map those results to emerging regulation, working with more than 60 HR Tech vendors including leading platforms like Greenhouse and Ashby, alongside a growing number of staffing firms and enterprise employers. In just a few years we have become the de facto standard in the category.</div>
<div>&nbsp;</div>
<div>We are ten people, doubling in revenue every six months, with net revenue retention of 130%+, and deliberately profitable-minded rather than growth-at-all-costs.</div>
<div>&nbsp;</div>
<div><strong>About the role</strong></div>
<div>&nbsp;</div>
<div>Every audit we run asks whether an AI hiring system treats people fairly, and the answer has real consequences. Vendors use it to win enterprise deals, employers use it to support their compliance work, and when we find a problem, it can change what a client builds next. Delivering each audit well matters as much as the methodology behind it.</div>
<div>&nbsp;</div>
<div>As AI Audit Manager, you'll run audits of everything from resume screeners to AI interviewers. You'll own each one from scoping through onboarding and integration to presenting results and explaining what the standard requires, working closely with our data and engineering teams. When a result needs explaining, especially one a client didn't hope for, you'll be the person they turn to.</div>
<div>&nbsp;</div>
<div>You'll be the first person on our audit operations team, and the runbooks, processes and habits you put in place will become how the team works as it grows. You'll also see better than anyone where audits get bogged down in manual work, and partner with our engineering team to streamline it, so the team keeps pace with a fast-growing business.</div>
<div>&nbsp;</div>
<div><strong>What you'll do</strong></div>
<div>&nbsp;</div>
<div>Audit delivery</div>
<ul>
<li>Lead new clients through onboarding, tailoring each audit to their system and getting them to their first results</li>
<li>Work with clients' teams to gather requirements and get their integration with Warden live and reliable</li>
<li>Run our audit cycle across all clients, chasing missed uploads and fixing broken runs before they cause delays</li>
<li>Own first-line analysis when an audit is flagged, finding the cause in the data and bringing in the data team, who review and sign off every result before it goes to the client</li>
</ul>
<div>Client relationships</div>
<ul>
<li>Join prospect calls to scope the audit, explain our methodology and answer questions about how it works</li>
<li>Be every client's first point of contact, whether their question is about integration, results or methodology</li>
<li>Present results clearly to engineers, HR leaders and legal teams alike</li>
<li>Explain what comes next, from what earning the Warden Assured mark requires to how a re-audit works once a client has addressed a flagged result</li>
</ul>
<div>Processes and tooling</div>
<ul>
<li>Make our audits repeatable, from runbooks and sales checklists to client intake forms and documentation</li>
<li>Shape our internal tools and audit pipeline as their main user, working with engineering and data on what gets built next</li>
<li>Track key metrics like onboarding time and audit turnaround, and keep company leadership informed, escalating early when something goes wrong</li>
<li>Share what you learn from clients across the company, from methodology and product to sales and marketing</li>
</ul>
<div>&nbsp;</div>
<div><strong>What success looks like in your first 90 days</strong></div>
<ul>
<li>You've supported sales on prospect calls and led several new clients through onboarding to their first results</li>
<li>You own the audit cycle, and every client knows you're their first point of contact</li>
<li>You've taken a flagged audit from first-line analysis through to explaining the outcome to the client</li>
<li>You've put runbooks, checklists and client intake forms in place for the most common work</li>
<li>Your input has driven tooling improvements that measurably speed up how we deliver and debug audits</li>
<li>You're tracking our key delivery metrics, and have used them to set next quarter's priorities with company leadership</li>
</ul>
<div><strong>What you should bring</strong></div>
<ul>
<li><strong>An analyst's mindset.</strong> You have a good feel for data. You can read a distribution, spot outliers and explain what a confidence interval says about a result, and you know when to dig deeper and when to bring in specialists.</li>
<li><strong>Technical fluency.</strong> You're at ease with data formats, integrations and troubleshooting, and you use scripts and AI to solve most problems yourself.</li>
<li><strong>Experience working with clients.</strong> You've worked directly with clients or external stakeholders and been the person they brought their questions to. You can explain technical findings in plain language.</li>
<li><strong>A process mindset.</strong> You've built repeatable processes from scratch, you measure how well they work, and you're always looking for the next manual step to remove.</li>
<li><strong>Organization under load.</strong> You keep many clients, audits and deadlines moving at once without anything slipping.</li>
<li><strong>Ownership.</strong> You take on problems nobody has assigned yet, pick up new audit types and tools quickly, and see things through.</li>
</ul>
<div><strong>This role isn't for you if…</strong></div>
<ul>
<li>You're looking for a purely client-facing role, without the data and technical work.</li>
<li>Working with data, from spotting what's unusual to judging how far to trust a result, feels outside your comfort zone.</li>
<li>You'd find it hard to keep many clients and deadlines moving at the same time.</li>
<li>You'd prefer to join a team with established processes rather than build them.</li>
<li>You need clear instructions before you can get started.</li>
<li>You're comfortable with repetitive manual work and don't feel the urge to fix it.</li>
</ul>
<div><strong>What we offer</strong></div>
<ul>
<li>£60-90k base salary + meaningful equity in a rapidly growing business</li>
<li>Private health insurance</li>
<li>33 days holiday (incl. bank holidays)</li>
<li>Hybrid working model (3 days/week in our London office)</li>
<li>Learning and Development budget of £500 per year</li>
</ul>
<div><strong>Interview process</strong></div>
<div>&nbsp;</div>
<div>We move quickly, and we aim to make this a thoughtful, structured experience. It is as much about you assessing us as the other way around.</div>
<ul>
<li>Initial screen (40 min). Intro call with CPTO to align on your background and the role.</li>
<li>Founder screen (40 min). Call wit CEO on how you act, decide and adapt, and how that translates to a high-agency, fast-moving startup.</li>
<li>Written exercise. Practical task relevant to the role's requirements.</li>
<li>On-site interview (50 min + 50 min). A review of your task, and a scenario based interview.</li>
<li>Hiring manager interview, reference checks and offer. We move quickly from references to a clear offer.</li>
</ul>
<div>If you have any specific questions or want to talk through reasonable adjustments ahead of or during the application, please contact us at any point at <a href="mailto:hiring@warden-ai.com">hiring@warden-ai.com</a>.</div>
<div>&nbsp;</div>
<div><strong>Equal opportunities for everyone</strong></div>
<div>&nbsp;</div>
<div>Diversity and inclusion are a priority for us, and we are making sure we have lots of support for all of our people to grow at Warden AI. We embrace diversity in all of its forms and create an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of supporting the responsible adoption of AI systems.</div>
<div>&nbsp;</div>
<div>We're an equal-opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status or disability status.</div></body></html>

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