<p><a href="https://himalayas.app/companies/permitflow">PermitFlow</a> is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding <em>what can be built, where, and how</em>. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean-energy, and infrastructure development across the country.</p><p>Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. <a href="https://himalayas.app/companies/permitflow">PermitFlow</a> has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence.</p><p>As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining <a href="https://himalayas.app/companies/permitflow">PermitFlow</a> means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization.</p><p>We’ve raised over $90M, most recently completing our Series B, from top-tier investors including Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.</p><h3>The Opportunity</h3><p>We're looking for a <strong>Staff Analytics Engineer</strong> to build and shape the data foundation and intelligence layer powering <a href="https://himalayas.app/companies/permitflow">PermitFlow</a>'s next stage of growth.</p><ul>
<li><p>This is a high-impact, hands-on individual contributor role at the intersection of analytics engineering, data analysis, and strategic decision-making. You'll own problems end-to-end: architecting our data warehouse, building reliable dbt models and pipelines, establishing trusted metrics, investigating complex business questions, and translating your findings into insights that drive meaningful business outcomes.</p></li>
<li><p>You'll work directly with leaders and teams across Engineering, Product, Operations, and Customer Success. Rather than operating as a centralized reporting function, you'll partner closely with the business to understand its most important challenges, identify opportunities hidden in the data, and build the analytical capabilities needed to act on them.</p></li>
<li><p>This role requires both deep technical expertise and strong business intuition. You'll spend substantial time building in SQL and dbt, while also getting hands-on with Python, exploring data, developing analytical models, and presenting recommendations that influence how the company operates and grows. We want someone who understands that great analytics engineering isn't just about building reliable data models; it's about making better decisions possible.</p></li>
<li><p>We're also building an AI-native data function. You'll have the opportunity to rethink traditional analytics workflows using LLMs and emerging technologies, from automating complex analysis to enabling teams across the company to access and act on data more independently.</p></li>
</ul><p><strong>You'll have the technical ownership to shape our data architecture, the business exposure to influence company-wide decisions, and the autonomy to build capabilities that will compound in value as <a href="https://himalayas.app/companies/permitflow">PermitFlow</a> scales.</strong></p><h3>What You'll Do</h3><ul>
<li><p><strong>Build and own our data foundation:</strong> Architect, develop, and scale our data warehouse, dbt models, transformation pipelines, and core metrics. Establish reliable, well-structured data foundations that serve as the source of truth across the company. dbt will be a core part of your day-to-day work.</p></li>
<li><p><strong>Drive analytics from question to impact:</strong> Partner with cross-functional leaders to identify high-value opportunities, investigate ambiguous business problems, conduct deep-dive analyses, and turn complex data into clear insights and actionable recommendations.</p></li>
<li><p><strong>Build AI-powered analytics capabilities:</strong> Explore and implement LLM-powered workflows, AI agents, and automation to accelerate analysis, reduce manual work, improve data accessibility, and fundamentally rethink how teams interact with information.</p></li>
<li><p><strong>Establish technical standards and data quality:</strong> Set the bar for data modeling, architecture, testing, documentation, observability, and governance. Build scalable systems that produce trusted, consistent, and reliable data as the business grows.</p></li>
<li><p><strong>Influence strategic business decisions:</strong> Work directly with leaders across Operations, Customer Success, Product, and Engineering to define KPIs, evaluate business performance, identify operational bottlenecks, and uncover opportunities to improve efficiency, growth, and customer outcomes.</p></li>
<li><p><strong>Make data accessible across the organization:</strong> Develop intuitive dashboards, reporting systems, and self-service analytics tools that empower teams to answer complex questions independently and make faster, better-informed decisions.</p></li>
<li><p><strong>Shape our data strategy:</strong> Influence our long-term data architecture, tooling, technical roadmap, and operating model. Help define how a modern, AI-native data function should operate as <a href="https://himalayas.app/companies/permitflow">PermitFlow</a> scales.</p></li>
</ul><h3>What We're Looking For</h3><ul>
<li><p><strong>Deep analytics engineering experience:</strong> Significant experience in analytics engineering, data engineering, data analytics, or business intelligence, with a track record of independently owning complex, high-impact initiatives.</p></li>
<li><p><strong>Expert SQL and dbt skills:</strong> Exceptional SQL proficiency and deep, hands-on experience building production-grade dbt models, designing dimensional data models, and developing transformation workflows in modern cloud data warehouses.</p></li>
<li><p><strong>Strong engineering fundamentals:</strong> Proficiency in Python and experience building reliable, scalable data pipelines, analytical workflows, and data infrastructure.</p></li>
<li><p><strong>AI-forward mindset:</strong> Practical experience leveraging LLMs, AI agents, or AI-powered tools to improve analytics workflows, automate processes, or make data more accessible. You're curious about emerging technologies and excited to challenge traditional approaches.</p></li>
<li><p><strong>Full-stack data capabilities:</strong> You combine strong engineering fundamentals with genuine analytical depth. You're equally comfortable architecting data models, writing production-quality code, exploring datasets, and developing insights that inform business decisions.</p></li>
<li><p><strong>Exceptional analytical and business judgment:</strong> You know how to break down ambiguous problems, ask the right questions, identify meaningful patterns, and translate complex findings into clear recommendations with measurable business impact.</p></li>
<li><p><strong>Technical leadership and ownership:</strong> You've independently led complex, cross-functional initiatives from problem definition through execution. You can establish technical direction, influence architectural decisions, and raise the bar for engineering quality without relying on formal authority.</p></li>
<li><p><strong>Strong communication and influence:</strong> You can partner effectively with engineers, executives, and business operators. You're able to explain technical trade-offs, communicate analytical findings, and influence decisions through clear, compelling reasoning.</p></li>
<li><p><strong>A builder's mentality:</strong> You're proactive, resourceful, and energized by solving difficult problems in a fast-moving environment. You take ownership beyond your immediate responsibilities and care deeply about the outcomes your work creates.</p></li>
</ul><h3>Why Join <a href="https://himalayas.app/companies/permitflow">PermitFlow</a>?</h3><ul>
<li><p><strong>Build at an inflection point:</strong> Join a rapidly scaling, venture-backed company where you can shape foundational systems and influence the direction of the data function before it becomes entrenched.</p></li>
<li><p><strong>Own problems that matter:</strong> Work on complex, high-impact challenges that directly influence how the company operates, scales, and serves its customers.</p></li>
<li><p><strong>Define the future of AI-powered analytics:</strong> Help pioneer how LLMs and AI transform the way an organization accesses data, generates insights, and makes decisions.</p></li>
<li><p><strong>Work directly with leadership:</strong> Partner closely with leaders across the company, giving you meaningful visibility into business strategy and the opportunity to influence decisions at every level.</p></li>
<li><p><strong>Operate with autonomy and impact:</strong> Have the trust and ownership to take initiatives from initial idea to production, establish technical standards, and see your work translate into tangible business outcomes.</p></li>
<li><p><strong>Shape something from the ground up:</strong> Help build the data capabilities, technical culture, and operating model that will support <a href="https://himalayas.app/companies/permitflow">PermitFlow</a>'s next chapter of growth.</p></li>
</ul><p><strong>If you're excited about building the data foundation and intelligence layer behind an AI-native company, solving complex problems, and seeing your work directly shape how a business operates and grows, we'd love to meet you.</strong></p><h3>What We Offer</h3><ul>
<li><p>Competitive salary and meaningful equity in a high-growth company</p></li>
<li><p>100% company-paid base medical, dental, and vision coverage for employees + healthcare FSA</p></li>
<li><h3>401(k) savings plan</h3></li>
<li><h3>Unlimited PTO and paid family leave</h3></li>
<li><h3>Home office &amp; equipment stipend</h3></li>
<li><p>Daily in-office lunch and dinner provided</p></li>
<li><p>Commuter benefits (pre-tax transit and parking)</p></li>
</ul><p>Inside <a href="https://himalayas.app/companies/permitflow">PermitFlow</a>: The Team Transforming Construction Permitting</p><p><em><a href="https://himalayas.app/companies/permitflow">PermitFlow</a> provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law.</em></p><p><em>We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs.</em></p><h3>Compensation Range: $170K - $250K</h3><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Staff Analytics Engineer

<p><strong>Location:</strong> Remote, New York City, or Oakland, CA</p><p><strong>Role Type:</strong> Full-time</p><p><strong>Compensation</strong>:  $97,000</p><p><strong>Visa sponsorship:</strong> Not available</p><p><strong>Hires remotely in:</strong> United States</p><p><strong>Experience:</strong> 2+ years of full-time, professional work experience</p><p><a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> is thrilled to be hiring an impact analytics data analyst to join our team! The impact analytics team at <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> measures our interventions so we can more effectively improve outcomes for the justice-involved population. We’re looking for a data analyst to join our team to measure historical impact and estimate future impact to inform both our product strategy and partnerships with funders.</p><h3>About us</h3><p><a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> is creating safer, healthier communities by improving outcomes for people in the criminal justice system. We build technology to reduce the number of people in prison and to help criminal justice leaders embrace data-driven decision-making. </p><p>Using software tools and thoughtful product design, we’ve been able to safely and permanently reduce incarceration and improve outcomes. We work side-by-side with leaders of the criminal justice system, people in prison and on supervision, and ecosystem partners to build a better path forward. In addition to the revenue we earn from state partners, some of the most respected philanthropists and foundations support our work.</p><p>People who succeed at <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> lead with kindness and humility, assume good intent, learn from failure, and fix problems when they see them. They are excited to work arm in arm with government leadership and staff to improve outcomes. They are great listeners. They build deep relationships with and empathy for the people we work with and the people who our mission serves, even when those two groups feel at odds. </p><h3>About the role</h3><p>The Impact Analytics Data Analyst will work alongside the research and impact tracking leads to analyze the impact of <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a>’s products and interventions. They will build statistical models, communicate findings with stakeholders, and build reusable processes to facilitate repeated analyses. They will also contribute to aggregated metrics infrastructure and consult with other data analysts to design and measure experiments.</p><h3>Core responsibilities</h3><ul>
<li>Build statistical models using Python and SQL to quantify historical impact and estimate future impact of <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> interventions on the justice-involved population</li>
<li>Collaborate with <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a>’s growth and fundraising team to communicate impact analysis findings with stakeholders at a range of technical altitudes</li>
<li>Build automated workflows to continuously track <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a>’s progress in improving outcomes for the justice-involved population</li>
<li>Work closely with the impact tracking and research leads on the impact analytics team to inform data-driven product strategy at <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a>
</li>
<li>Define measures of product usage and impact in Python and SQL through <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a>’s aggregated metrics framework and Looker</li>
<li>Consult with the data analysis and data science team to develop experimental and quasi-experimental rollout analysis methodologies</li>
</ul><h3>Wild success</h3><p>One year into the role, you will have developed a model that estimates <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a>’s impact on the justice-involved population over the next several years. That model, alongside other impact evaluations you conduct, will have enriched both <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a>’s partnerships with funders and product strategy efforts with a more detailed understanding of how <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> interventions can improve outcomes for the justice-involved population.</p><h3>Minimum qualifications</h3><ul>
<li>Strong communication and collaboration skills, to help nurture a knowledgeable, data-oriented culture</li>
<li>Enthusiasm for working with internal and external partners from diverse backgrounds and worldviews, such as government staff, researchers, journalists, technical staff, and practitioners in criminal justice reform</li>
<li>Ability to inspect source data, reason about data models, examine results closely, and prepare data and analyses that are usable for various applications</li>
<li>2 or more years of practical experience exploring, analyzing, and processing complex datasets</li>
<li>Professional work experience using SQL to work with large datasets, including high proficiency writing efficient queries for more complex data extraction and transformation tasks</li>
<li>High familiarity with Python, specifically Pandas package, for tasks such as statistical analysis and data visualization</li>
</ul><h3>Preferred qualifications</h3><ul>
<li>Experience with statistical analysis, specifically forecasting and/or causal inference</li>
<li>Experience translating nebulous research questions into strategic analysis plans, executing those plans, and recommending future courses of action informed by analysis results</li>
<li>Experience working in a cross-functional organization that designs, builds, and launches products for users</li>
<li>Experience working with large datasets from the public sector, especially related to criminal justice</li>
<li>Familiarity with our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas</li>
</ul><h3>Compensation</h3><p>Compensation is standardized based on roles and responsibilities. This ensures equitable compensation and responsible stewardship of our resources. As such, we do not negotiate compensation offers. </p><p>The annual compensation for this role is: $97,000.</p><h3>What we offer</h3><ul>
<li>Effective, extremely thoughtful colleagues, working together on a mission that matters</li>
<li>90% medical, dental, and vision insurance coverage for you and your dependents</li>
<li>Flexible time off, including 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays per year</li>
<li>401(k) retirement plan with 5% company match and no vesting period</li>
<li>12 weeks of paid parental leave</li>
<li>Complimentary One Medical membership (availability based on location)</li>
<li>Partnership with Carrot to provide employees with inclusive fertility and family-forming benefits, as well as a small but growing number of hormonal health and gender-affirming care benefits</li>
<li>Monthly ClassPass credit for personal wellness</li>
<li>Free mental health support via Talkspace</li>
<li>Well-located offices in Oakland and Manhattan, with the flexibility to work remotely or go into either office as you choose</li>
<li>An annual company offsite and other ad-hoc gatherings</li>
<li>All the exhilarating challenges and stretch opportunities of a tech startup, combined with the mission-driven heart of a nonprofit</li>
</ul><h3>More about <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a>
</h3><p><a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> was an all-volunteer effort until early 2019, when Clementine, Andrew, and Joshua founded the organization. Since then, we’ve built an A-team of software engineers, designers, product managers and domain experts, from companies like Google, Apple, Dropbox, Opower, and Sidewalk Labs. <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> was part of Y-Combinator’s 2019 class and has received support from some of the most respected philanthropists and foundations, including Ford Foundation, Mackenzie Scott, Schmidt Futures, Arnold Ventures, Chan Zuckerberg Initiative, and the Mozilla Foundation.</p><p>Today, <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> works with (and earns revenue from) over 20 state partners - big and small, red and blue - and touches over 46% of the country’s incarcerated population. We have helped to get hundreds of thousands of people out of the criminal justice system, safely and equitably. In addition to partnering with state Departments of Corrections, <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> collaborates with and learns from partners – from organizations like the Correctional Leaders Association (CLA) to community based organizations and justice-impacted individuals, whose perspectives guide our work.</p><p>To learn more about how we do what we do, check out our 2025 Year in Review, read some press coverage, or watch our TED Talk. And if you’re really keen to see our work, you can dive into our Github :).</p><h3>An important note</h3><p>Lasting change is always built on diversity. <a href="https://himalayas.app/companies/recidiviz">Recidiviz</a> recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, sexual orientation, disability, age, veteran status, ancestry, citizenship, marital status, gender identity and all protected status as required by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a special need that requires accommodation, please let us know in your application. Even if you don't think you meet all the criteria above, drop your resume, and we'll take a look – you might be great for another role or another time!</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Impact Analytics Data Analyst

<div>
<strong>The Koch Internship Program (KIP) </strong>is a paid experiential learning program run by <a href="https://himalayas.app/companies/stand-together">Stand Together</a> Fellowships that offers professional development, leadership training, and meaningful work experience at non-profits tackling some of our nation's most pressing policy challenges all over the United States. Early-career professionals including undergraduate/graduate/law students and recent graduates are encouraged to apply. Eligible candidates will be geographically located in and authorized to work in the United States through the duration of the program. Successful candidates will interview with both our non-profit partner organizations and <a href="https://himalayas.app/companies/stand-together">Stand Together</a> Fellowships staff, so we strongly encourage you to begin the admissions process early!</div><div>The Empire Center is looking for a talented individual for our policy data analyst role. Working as a policy data analyst at the Empire Center provides a unique work experience at a leading state-based think tank.</div><div>The Empire Center is dedicated to making New York a better place to live and work by promoting public policy reforms grounded in free-market principles, personal responsibility, and the ideals of effective and accountable government. Through research papers, policy briefings, commentaries and conferences, the think tank seeks to educate and inform New York State policymakers, news media and the general public.</div><div>The Empire Center’s policy data analysts are paired with Empire Center researchers whose focuses include taxes, government transparency, education, energy and healthcare. Primarily, policy data analysts will work alongside researchers, providing data analysis and visualizations for projects in these areas.</div><div>A strong applicant will have experience with Tableau (or other data visualization software), Microsoft Excel, extremely strong attention to detail, and a proven record of working independently.</div><div>
<a href="https://himalayas.app/companies/stand-together">Stand Together</a> Fellowships believes that diversity in experiences, perspectives, knowledge and ideas fuels creativity, broadens knowledge, and helps drive success. Our admissions office treats all program participants and applicants with honesty, dignity, respect and sensitivity. We welcome all qualified applicants regardless of color, race, religion, religious creed, sex, gender or gender identity, gender expression, sexual orientation, national origin, citizenship, ethnicity, ancestry, age, physical disability, mental disability, medical condition, pregnancy (including medical needs which may arise from pregnancy, childbirth, or related medical conditions), military and veteran status, genetic information, marital or familial status, political affiliation, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. </div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

KIP Spring 2027 - Policy Data Analyst Intern - Empire Center for Public Policy

<div>
<p style="line-height: 1.2; margin-top: 12pt; margin-bottom: 12pt;"><span style="font-size: 10pt; font-family: Poppins, sans-serif;">The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.</span></p>
<p style="line-height: 1.2; margin-top: 12pt; margin-bottom: 12pt;"><span style="font-size: 10pt; font-family: Poppins, sans-serif;">Growlithe is a fast-moving squad within Spotify's Conversation Product Area, focused on bringing emerging Search and agentic experiences to life. We explore, define, build, validate, and optimize new ideas to help listeners discover the content they love. Our work spans personalized Search, music video discovery and ranking, audiobook Search expansion, and the foundations of more social Search experiences.</span></p>
<p style="line-height: 1.2; margin-top: 12pt; margin-bottom: 12pt;"><span style="font-size: 10pt; font-family: Poppins, sans-serif;">We're looking for a Senior Machine Learning Engineer to help shape the next generation of Search at Spotify. You'll work at the intersection of machine learning, personalization, and product development, turning complex challenges into intuitive discovery experiences for millions of listeners.</span></p>
</div><h3>What You&#x27;ll Do</h3>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Build and improve machine learning models that make Spotify Search more relevant, personalized, and engaging for listeners.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Develop and optimize ranking and backend retrieval systems that help listeners discover music, videos, audiobooks, and other content.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Explore emerging AI and agentic approaches to create more intuitive and conversational Search experiences.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Design, implement, and evaluate machine learning solutions, taking ideas from early experimentation through production.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Partner with engineers, product managers, designers, and researchers to identify opportunities and deliver meaningful improvements to Search.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Use experimentation, data analysis, and performance metrics to understand model behavior, validate hypotheses, and improve the listener experience.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Contribute to scalable machine learning infrastructure and engineering practices that support reliable, high-quality Search experiences.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Share knowledge, challenge assumptions constructively, and help shape the technical direction of machine learning within the squad.</span></li>
<h3>Who You Are</h3><div>

<li>You have experience building, deploying, and improving machine learning systems in production environments.</li>
<li>You have a strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization.</li>
<li>You are proficient in Python and comfortable working with modern machine learning frameworks and data processing tools.</li>
<li>You have experience and a desire to lean into backend engineering at Spotify scale.</li>
<li>You understand how to design and evaluate experiments, interpret model performance, and translate technical findings into product improvements.</li>
<li>You have experience working with large-scale datasets and understand the challenges of building reliable, scalable machine learning systems.</li>
<li>You are curious about emerging AI technologies, including large language models and agentic systems, and interested in their potential to improve discovery experiences.</li>
<li>You enjoy working across disciplines, communicating technical ideas clearly, and learning from different perspectives.</li>
<li>You are comfortable navigating ambiguity, taking ownership of complex challenges, and balancing experimentation with practical delivery.</li>

</div><h3>Where You&#x27;ll Be</h3><div>

<li>This role is based in Eastern Standard Time</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.</li>

</div><div>
<p data-pm-slice="1 1 []">The United States base range for this position is 184,049–262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.</p>
</div><div><br></div><div><span style="font-size: 11pt;">Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.</span></div>
<div>&nbsp;</div>
<div><span style="font-size: 11pt;">At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.</span></div>
<div>&nbsp;</div>

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