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Location: New York City Asana is building the platform for human and agent collaboration in the enterprise. With the launch of Agentic Work Management (AWM), AI is now a foundational part of that platform, and the shift brings a new class of problems with it. Customers need to trust agentic work, govern it, and see a return on it before they will scale it. Many of the opportunities that matter most for customers sit between our suite of AI products, rather than inside any particular one—which is where you come in. This role sits in our AI Platform Group on a small, fast-moving team with a deliberately broad mandate: work across the boundaries other product teams operate within, identify the cross-cutting problems and opportunities that no single team owns, and build leveraged solutions that create scalable, differentiated value for our customers. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Work directly with enterprise customers and prospects to discover the challenges they face when managing agentic work in Asana, and bring back what you learn to inform your roadmap. Discover and quickly validate new, high-leverage opportunities, then work cross functionally to deliver end-to-end solutions, fast. Consistently choose leverage over local wins: pick the problems whose solutions compound across Asana's AI products rather than improving a single surface in isolation. Help set the standard for what Asana invests in versus not as the AI capability landscape shifts, piloting new capabilities and accelerating their adoption and integration into our AI products. Decide which of our existing convictions are worth pursuing (if at all), and in what order: AI ROI measurement and reporting, AI governance, monitoring, and administration, building new capabilities for managing complex, cross-functional agentic workflows. About you Senior IC product management experience in enterprise SaaS, with a track record of shipping complex products end to end. Hands-on experience building or shipping an AI-first product, with working fluency in how AI actually gets deployed and hosted: model providers, inference hosting choices, evals and quality measurement, fine-tuning and data privacy trade-offs. A platform instinct. You can see where a capability built once serves several products, and you would rather build that than the point solution, even when the point solution ships sooner. Energized rather than stalled by ambiguity and greenfield problems. You're comfortable being handed an outcome and a wide problem space rather than a specification. Strong prioritization and sequencing instincts. You can hold several plausible directions at once and still make a clear call on which one to invest in first. A track record of working directly with enterprise customers to unblock deals and drive revenue, and of influencing teams that don't report to you. Thrive on a small team where the PM is expected to prototype, run their own discovery, and work shoulder to shoulder with engineering. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000-$230,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: London, UK About Anthropic Anthropic’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. About the role As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met Manage relationships with AV integrators and vendors to ensure project success Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity with control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Role Specific Location Policy: This role will be based in our London office This role is expected to be in office 75% of the time This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £210,000 — £250,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you'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. Your safety matters to us. 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—visit anthropic.com/careers directly for confirmed position openings. How we're different 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 — advancing our long-term goals of steerable, trustworthy AI — 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. 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 & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’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. About the role As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met Manage relationships with AV integrators and vendors to ensure project success Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity with control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Role Specific Location Policy: This role will be based in our San Francisco office This role is expected to be in office 75% of the time This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you'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. Your safety matters to us. 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—visit anthropic.com/careers directly for confirmed position openings. How we're different 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 — advancing our long-term goals of steerable, trustworthy AI — 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. 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 & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are seeking an experienced and dynamic leader to build ElevenLabs' public sector business across France. The Public Sector Partnerships Lead will identify and build relationships with government institutions across France, bridging the gap between government and our GTM team to drive adoption of ElevenLabs' products and grow government into a strong, durable revenue stream for the company. The role also involves building strategic partnerships with policymakers, industry associations, and coalitions, as well as monitoring regulatory developments and supporting policy campaigns and impact initiatives. In this role, you will: Drive government adoption and revenue (primary) - Identify government partnership opportunities across France — from healthcare and education to transport, public banks, and other state-owned enterprises — and bridge the gap between government institutions and the GTM team to drive adoption and deployment of ElevenLabs' products. - Build and maintain a wide network of relationships across French government institutions — spanning ministries, agencies, établissements publics, and SOEs — not limited to regulatory or policy counterparts. - Promote government adoption of ElevenLabs products and services in partnership with the GTM team. Build strategic partnerships (secondary) - Build and maintain strong relationships with policymakers, regulators, industry associations, and civil society groups. - Represent ElevenLabs at conferences and industry events, advancing the company's public policy goals. Monitor and advise on policy (tertiary) - Lead ElevenLabs engagement with government bodies and officials across France, with a focus on AI governance, safety, copyright, privacy, transparency, data protection, competition, and/or digital rights. - Monitor, analyze, and advise on emerging regulations impacting the company — including EU-level developments given France's influence in shaping EU AI policy. - Support the development of internal policies by our Legal, Safety, Security, and other teams. - Provide strategic counsel to company leadership on regional policy trends and their business implications. - Define and implement policy campaigns and impact initiatives that advance company objectives. Who you are: - You're genuinely interested in the future of AI and emerging technologies, bringing curiosity and enthusiasm to your role. - You stay up-to-date on AI regulation and industry trends, and are eager to apply this expertise to cutting-edge products. - You thrive in a fast-paced, dynamic startup environment, working cross-functionally with teams across the organization to support and scale a growing business. - You're comfortable working independently and handling ambiguity, excelling in situations where you must make informed decisions quickly. - You bring a proactive, solution-oriented approach to each project, focused on moving the business forward. What you bring: Primary requirements - 10+ years' experience in public and private sector (in-house, firm) roles, with a track record of building relationships with government that led to commercial or technology-adoption outcomes — not solely policy or regulatory roles. - A wide, current network of contacts across French government institutions — spanning ministries, agencies, établissements publics, and SOEs, including in healthcare, education, and transport. Prior government or grands corps experience is a plus but not required if network breadth is strong. - Experience identifying and opening doors for technology partnerships with government institutions is strongly preferred. - Contacts or experience navigating EU institutions or other major European markets is a plus. Also required - Strong knowledge of the French and EU AI policy landscape, including general AI governance, safety, copyright, privacy, transparency, data protection, competition, and digital rights. - Demonstrated success in designing, advocating for, and influencing policy outcomes, as well as coalition building. - Public policy experience across France. - Exceptional written and verbal communication skills, including when briefing government officials and other policymakers. - Fluency in English and French. Location This role is located in France. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Role Overview As a Senior Software Engineer within our Platform team, you will help build and operate the platform underpinning our exchange and trading systems. You will adapt and evolve our infrastructure and platform standards to support a highly available, low-latency exchange, partnering closely with exchange engineers and engineering leads to enable rapid innovation without compromising stability or security. This role requires a balance of deep hands-on software engineering and systems thinking. You will build tools, services and automation that support the exchange—from load-testing environments and mock integrations to monitoring and automated recovery. You will own projects from ideation to production and help operate the platform as the exchange goes live. The balance of coding and infrastructure work varies by project, but you should be comfortable independently developing new software as well as improving existing systems, championing best-in-class platform standards and mentoring mid-level engineers. On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality. Responsibilities Design, build and maintain software tools, services and automation that solve complex infrastructure, reliability and developer experience challenges. Design, build and maintain highly available cloud-native infrastructure, ensuring the platform scales reliably with our growing user base. Build and optimize CI/CD pipelines and developer tooling to eliminate friction in the software delivery lifecycle. Develop load-testing environments and supporting software, including mock services and integrations. Implement team-level standards for AI-augmented development, using effective prompting and validation practices to increase velocity without sacrificing code quality. Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and assist in tracking team productivity metrics. Implement and maintain platform security safeguards and compliance standards to protect the integrity of the firm’s systems. Contribute to the system observability roadmap by implementing monitoring, tracing, alerting and automation to improve operational reliability. Partner with product and engineering teams to translate technical requirements into scalable platform solutions. Mentor junior and mid-level engineers, participate in the on-call rotation, lead incident response for team-owned services and deliver engineering improvements that prevent recurring incidents. Skills 5+ years of experience in software, backend or platform engineering, with a track record of delivering production software and building scalable, cloud-native environments. Strong software development skills, including the ability to independently design, build, test and deploy services or substantial tools from scratch. Deep hands-on Kubernetes experience, including operating production workloads, troubleshooting failures, and designing for high availability and efficient scaling. Strong hands-on experience with AWS and infrastructure as code using Terraform. High proficiency in Java and Python; Go is a plus. You should be comfortable bridging the gap between infrastructure and application logic. Understanding of distributed systems and the trade-offs between low latency, high availability, scalability and operational complexity. Experience building mature CI/CD pipelines and working with observability tools such as Prometheus, Grafana or Datadog. Strong proficiency in using AI collaborators such as Claude Code, Cursor or GitHub Copilot to ship production code and improve personal development workflows. Ability to evaluate AI-generated code for security gaps or architectural errors and implement rigorous testing strategies. Proven ability to take ownership of complex projects in a fast-paced environment, proactively identifying improvements and balancing speed with architectural health. Strong communication skills and the ability to collaborate effectively with distributed engineering and product teams. Preferred Qualifications Experience in high-growth startup environments. Experience with financial systems, exchanges, real-money transactions or regulatory compliance. Background in building internal developer tools, CLI applications or infrastructure automation services. Experience developing load-testing environments, mock services or automated recovery systems. Experience leading small project groups or “squads” within a larger team. Depending on the role, your interview and onboarding e xperience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. #LI-Remote #LI-AL1 By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Role Overview As a Staff Software Engineer within our Platform team, you will help define the technical direction of the platform underpinning our exchange and trading systems. You will lead the design and evolution of our infrastructure and platform standards to support a highly available, low-latency exchange, partnering closely with exchange engineers and engineering leads to enable rapid innovation without compromising stability or security. This role requires a balance of deep hands-on software engineering, systems thinking and technical leadership. You will lead complex projects that support the exchange—from load-testing environments and mock integrations to monitoring and automated recovery. You will turn ambiguous requirements into practical designs, own delivery from ideation to production and help operate the platform as the exchange goes live. The balance of coding and infrastructure work varies by project, but you should be comfortable independently developing new software as well as improving existing systems, setting platform standards and mentoring engineers across experience levels. On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality. Responsibilities Lead the design and development of software tools, services and automation that solve complex infrastructure, reliability and developer experience challenges. Define and evolve the architecture of highly available cloud-native infrastructure, balancing performance, reliability, security and cost as the platform grows. Set technical direction for CI/CD pipelines and developer tooling, remaining hands-on in delivering improvements to the software delivery lifecycle. Lead the development of load-testing environments and supporting software, including mock services and integrations. Establish and evolve standards for AI-augmented development, using effective prompting and validation practices to increase velocity without sacrificing code quality. Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and help teams evaluate the impact on quality and productivity. Guide the design and implementation of platform security safeguards and compliance standards to protect the integrity of the firm’s systems. Shape the system observability roadmap and lead improvements to monitoring, tracing, alerting and automated recovery. Partner with exchange, product and engineering leads to resolve architectural trade-offs, align priorities and deliver scalable platform solutions. Mentor engineers across experience levels, lead technical design discussions and raise engineering standards across teams. Participate in the on-call rotation, lead incident response for team-owned services and drive engineering improvements that prevent recurring incidents. Skills Significant experience in software, backend or platform engineering, with a track record of leading complex technical projects and delivering production software and scalable, cloud-native environments. Deep software development expertise, including the ability to independently design, build, test and deploy services or substantial tools from scratch and guide others through complex implementation decisions. Deep hands-on Kubernetes experience, including designing and operating production environments, troubleshooting complex failures, and establishing patterns for high availability and efficient scaling. Strong hands-on experience with AWS and infrastructure as code using Terraform, including making architectural decisions across complex environments. High proficiency in Java and Python; Go is a plus. You should be comfortable bridging the gap between infrastructure and application logic. Deep understanding of distributed systems and the ability to make and explain trade-offs between low latency, high availability, scalability and operational complexity. Experience shaping CI/CD and observability approaches, with hands-on knowledge of tools such as Prometheus, Grafana or Datadog. Strong proficiency in using AI collaborators such as Claude Code, Cursor or GitHub Copilot to ship production code and improve engineering workflows. Ability to evaluate AI-generated code for security gaps or architectural errors and establish rigorous testing and validation practices. Proven ability to turn ambiguous problems into a clear technical direction and deliver improvements across team boundaries, balancing immediate needs with long-term architectural health. Strong communication skills, including the ability to explain complex technical decisions, influence without formal authority and collaborate effectively with distributed engineering and product teams. Experience mentoring senior engineers and building alignment around technical standards and architectural decisions. Preferred Qualifications Experience in high-growth startup environments. Experience with financial systems, exchanges, real-money transactions or regulatory compliance. Background in designing and building internal developer platforms, tools, CLI applications or infrastructure automation services. Experience developing load-testing environments, mock services or automated recovery systems. Experience leading technical initiatives spanning multiple teams or evolving platform architecture through significant growth or change. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. #LI-Remote #LI-AL1 By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Europe - Remote About the role In this role you will be responsible for ensuring the quality of every release that goes out. Sporty isn’t like other organisations that just see QA as a blocker - we give our QA team members the power you need to do your job, including deciding what is ready for launch and what needs more work. You will be acting as a Hybrid QA Lead with the skills you bring in on both Manual testing and automation processes. Our Stack Programming language: Python DB: MySQL / Mongo DB DevOps: AWS / Jenkins / K8S Web: Selenium / Playwright/ Postman Mobile: Appium / Android Studio / XCode What you'll be doing Lead and mentor a talented development team, fostering a collaborative, high-performance culture Provide technical leadership and ensure best practices in software development Drive the Testing lifecycle from requirements gathering to deployment, ensuring timely delivery of high-quality solutions Conduct regular code reviews, offering constructive feedback to improve the team’s skills and output Manage team members' performance and career development Track and record product issues and analyse the problems through various tools, giving feedback to relevant personnel to make corrections Write test plans / test cases and output test reports according to feature requirements Share test-related information with other team members Create automated Web / Mobile / API test cases Track and analyse automated tests to improve test efficiency Develop automated tests and test frameworks Improve our Continuous Integration pipeline Help automate all aspects of the software engineering process What you'll bring Minimum of 4+ Years within a relevant role Minimum 8 years of experience in software testing 2+ years of experience in a leadership role, with experience in mentoring, performance reviews, work allocation Solid understanding of testing types: unit, integration, end-to-end, regression, stress/performance, and API testing Experience with Web / Android / iOS and API manual testing Experience with web debugging and API testing tools (Chrome DevTools, Postman) Working knowledge of relational databases preferably MySQL Strong experience with Python Experience with Automation testing knowledge with REST APIs Experience in test automation for mobile apps (Android and iOS) Experience in Automation testing for web apps (Selenium/ Playwright) Docker and Kubernetes experience would be advantageous Experience in developing and running a Continuous Integration system Familiarity with Jira / Jenkins would be advantageous Even better if you have Working knowledge of NoSQL databases, preferably MongoDB BS / MS in Computer Science, Information Systems, Electrical Engineering What’s in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview process Remote video screening with our Talent Acquisition Team Offline Take home assignment Remote video interview with Team Members (60 Mins) Final discussion with the hiring manager (60 mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours. We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.

Location: Poland Company Background Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem. Project Description The project focuses on developing and maintaining an enterprise integration layer that connects the client’s operational platforms, cloud services, and corporate applications across a complex business environment. The specialist will help enable secure, reliable, and scalable communication between in-house and SaaS systems, supporting the automation and consistent flow of business data across the organization. Technologies MuleSoft / Azure Integration Services / UiPath / Workato REST, SOAP APIs Python, PowerShell, Bash ETL Event-driven architectures Azure Service Bus / AWS SQS / Kafka What You'll Do Build, test, deploy, and support integrations across enterprise systems, including ERP, HRIS, FinOps, ITSM, and in-house operational platforms; Design and implement scalable and secure data flows using MuleSoft, REST/SOAP APIs, event-driven patterns, ETL pipelines, and middleware platforms; Establish integration standards, reusable patterns, and governance practices to reduce point-to-point integrations and technical debt; Collaborate with HR, Finance, IT, cloud, and infrastructure teams to translate business requirements into technical integration solutions; Develop automation scripts and pipelines using Python, PowerShell, and Bash to streamline data transfers, system events, and operational workflows; Build and maintain CI/CD pipelines for reliable, testable, and auditable integration deployments; Implement monitoring, alerting, and observability for integration pipelines, troubleshoot data flow issues, and maintain technical documentation; Connect master data management and FinOps data flows with enterprise applications while supporting data accuracy, latency, and governance requirements; Support routine administration of enterprise systems, including user access updates and maintenance of system records; Contribute to preparing enterprise data for future AI/ML use cases; Job Requirements 7+ years of experience in enterprise integration engineering, systems architecture, or a related technical role, with progressively increasing scope; Solid experience with iPaaS or middleware platforms, such as MuleSoft, Azure Integration Services, UiPath, or Workato; MuleSoft experience is preferred; Hands-on experience designing and implementing REST and SOAP API integrations across heterogeneous enterprise systems; Experience integrating ERP, HRIS, ITSM, and/or FinOps platforms in a multi-cloud environment; Proficiency in scripting and automation using Python, PowerShell, and/or Bash; Working knowledge of ETL patterns, event-driven architectures, and message queue systems; Strong understanding of data security, access control, and zero-trust integration principles; Ability to translate ambiguous business requirements into concrete and well-documented technical designs; Experience collaborating across engineering, infrastructure, and business stakeholder groups; Nice To Have Experience working in data center, critical facilities, or industrial/OT environments, or the ability to rapidly learn domain-specific operational systems; Hands-on experience with FinOps tooling, such as Apptio or Azure Cost Management, and cost data pipelines; Experience administering enterprise back-office business systems, such as NetSuite, Coupa, Rippling, BlackLine, or Ironclad; Experience integrating Rippling, ADP, or comparable HRIS platforms with downstream financial and operational systems; Familiarity with ServiceNow or comparable ITSM platforms and their integration capabilities; Experience using AI-powered agentic coding tools and IaC technologies, such as Terraform or Bicep; Exposure to AI/ML pipeline architectures and data preparation workflows for intelligent operations; Experience with Agile and DevOps practices at scale; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Belgrade; London Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking. We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking or production ranking systems. Responsibilities - Push search quality forward through models, data, evaluation, infrastructure, or any other leverage available. - Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely. - Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate. - Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring. - Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity. - Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome. Qualifications - Deep understanding of search or recommender systems and their evaluation. - Proven ownership of a large-scale production ranking system or a substantial class of quality problems. - Strong machine learning and software engineering skills across data, models, serving, and monitoring. - Ability to drive ambiguous, cross-team problems without continuous task decomposition. - Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.

Location: Belgrade; London Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking. We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking or production ranking systems. Responsibilities - Push search quality forward through models, data, evaluation, infrastructure, or any other leverage available. - Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely. - Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate. - Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring. - Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity. - Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome. Qualifications - Deep understanding of search or recommender systems and their evaluation. - Proven ownership of a large-scale production ranking system or a substantial class of quality problems. - Strong machine learning and software engineering skills across data, models, serving, and monitoring. - Ability to drive ambiguous, cross-team problems without continuous task decomposition. - Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.

Location: Dublin, Ireland Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a In-Year Segmentation & Parenting Operations to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities In-Year Segmentation Management • Review and process in-year segmentation requests in accordance with approved business rules. • Validate eligibility, supporting evidence, and policy compliance for all submitted requests. • Assess segmentation impacts and ensure requests meet established thresholds and governance requirements. • Escalate complex or exception-based cases for appropriate review and approval. Parenting & Enrollment Remap Operations • Manage customer parenting corrections and enrollment remap requests. • Validate customer hierarchy structures and revenue attribution impacts. • Review account relationships to ensure correct ownership and reporting alignment. • Execute approved changes within established service level agreements (SLAs). Case Management & Quality Assurance • Maintain accurate case records and audit-ready documentation. • Review supporting documentation including proof of alignment, proof of execution, account ownership evidence, and system validations. • Perform quality reviews to ensure consistency and compliance across all requests. • Identify and resolve data discrepancies or policy conflicts. Stakeholder Collaboration • Partner with Sales Operations, Business Sales Operations (BSO), Finance, GSOC, and regional stakeholders. • Communicate case status, findings, and recommendations to requestors and business partners. • Support policy interpretation discussions and exception reviews. • Participate in operational reviews, office hours, and governance discussions. Reporting & Analytics • Monitor request volume, backlog health, turnaround times, and SLA performance. • Develop and maintain reports, dashboards, and operational metrics. • Analyze trends and identify opportunities for process improvement. • Support operational planning and business reviews with data-driven insights. Process Improvement & Automation • Identify opportunities to improve operational efficiency and scalability. • Support automation initiatives and system enhancements. • Contribute to testing, user acceptance validation, and deployment of new tools and capabilities. • Assist with process documentation and standardization efforts. Knowledge Management • Maintain process documentation, standard operating procedures, and training materials. • Support onboarding and training of new team members. • Share best practices and lessons learned with the broader operations team Strong analytical skills and ability to work with large datasets Very detail-oriented, process-driven, and comfortable following defined business rules/policies Experience in operations / business operations / sales operations / customer account operations Experience handling account segmentation, customer/account hierarchy, ownership structures, or reporting alignment Ability to validate requests against eligibility criteria, supporting evidence, policies, and governance requirements Experience with case management and maintaining accurate, audit-ready documentation Strong data quality / validation skills identifying discrepancies, incorrect mappings, hierarchy issues, or policy conflicts Ability to manage work against SLAs, turnaround times, and operational deadlines Experience working with cross-functional stakeholders, especially Sales Operations, Finance, Business Operations, or similar teams Strong written/verbal communication for explaining case status, findings, recommendations, and exceptions

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid is looking for an experienced PR Manager based in London to lead our public relations, influencer, and event strategy globally, with a focus on the UK, US, and Europe. This is a hands-on role for someone with a strong existing network of media, industry, and influencer contacts, particularly in the US, who can turn Humanoid's story into consistent, high-quality coverage and get Humanoid in front of the right audiences at the right events.   What You’ll Do - Build and maintain strong relationships with media outlets, journalists, editors, and influencers, with a particular focus on the US market. - Secure interviews, features, product announcements, and bylined articles in relevant Tier-1 and Tier-2 media outlets. - Oversee the creation of press releases, media kits, articles, social content, and thought leadership materials. - Identify and secure speaking opportunities at conferences, forums, and industry events, and support company spokespeople in preparing for them. - Prepare company spokespeople for public appearances, media interviews, and press engagements. - Monitor and manage Humanoid's public image and reputation, and lead the response to any reactive or crisis communications. - Support and help shape the company's social media presence, ensuring consistent and authentic messaging across platforms. - Track performance metrics and refine PR strategy based on insights and coverage results.   What We're Looking For - More than 3 years of relevant experience in public relations, communications, or media relations (e.g. PR manager, press officer, communications lead, agency account lead, or similar). - Extensive network of Tier-1 and Tier-2 media contacts, event organizers, and bloggers across the business, financial, tech, AI, and robotics sectors, with strong, active relationships in the USA (UK and Europe a plus; investor connections a plus). - Excellent interpersonal and written communication skills. - Ability to perform well under pressure and against tight deadlines.   What We Offer - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and customer success planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re a builder who loves helping customers solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Drive workflow adoption and value realization for a book of named accounts, ensuring customers expand their use of Notion and as a result, Notion sees high NRR - Partner closely with the Solutions Consultant on account strategy for expansion and renewal, including owning the renewal opportunity for flat and at-risk customers - Shape customer outcomes, strengthen executive and team-level partnerships, and contribute directly to predictable revenue through retention, renewal, and expansion impact - Design and deploy workflows that solve specific business problems as a build-beside partner to the customer, translating goals into durable systems in Notion - Partner with Solutions Consultants on account strategy, customer planning, and identifying and qualifying expansion opportunities within existing accounts - Co-define, build, and manage against customer success plans that help every customer achieve their desired objectives and realize measurable value - Learn Notion’s product and the broader AI ecosystem inside and out so you can be the best build-beside partner for customers navigating new ways of working - Innovate and iterate on Outcomes Architect programs that retain and grow customers while mitigating churn or contraction risk SKILLS YOU'LL NEED TO BRING: - Experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment - Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans - Technical fluency and genuine comfort building live in software—you can co-design, configure, and troubleshoot with customers in the room - Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy - Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems - You’re obsessed with AI, constantly building with the newest tools and learning new ways of working - Fluency in English and Italian NICE TO HAVES: - Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software - Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path - Familiarity with usage-based or consumption-based models and the ability to connect adoption patterns to commercial outcomes - Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams - Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €94,000 - €105,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a highly skilled and customer-focused professional to join our team as a Senior Solutions Architect specializing in Cloud infrastructure and MLOps . As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines. You’re welcome to work remotely from Singapore. Your responsibilities will include: Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI Act as a single point of expertise of customer scenarios for product, technical support, marketing teams Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.) We expect you to have: 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL) Excellent communication skills Customer-centric mindset It will be an added bonus if you have: Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow) Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) #LI-DNI Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is building the next generation of customer identity and authentication. This role is a hands-on engineering position inside Information Security, focused on designing and shipping core CIAM capabilities that protect customers and support growth. You will build and operate backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work closely with partner engineering teams and ensure identity features are delivered with strong security fundamentals, reliability, and operational rigor. • What you'll do You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. Design, build, and operate core CIAM backend services that support customer registration, authentication, authorization, account lifecycle, and profile management for B2C and B2B platforms. Implement and extend identity standards such as OAuth 2.0, OIDC, SAML, and SCIM in code, ensuring correctness, scalability, and clean integration patterns. Develop backend APIs and services in Python and Kotlin that expose identity capabilities to web, mobile, and partner applications. Integrate CIAM platforms with internal systems, including user data stores, messaging, fraud signals, and downstream customer platforms. Own secure authentication and account flows end to end, including MFA, step-up authentication, device binding, consent, and adaptive authentication logic. Automate CIAM infrastructure and deployments using Infrastructure as Code and CI/CD pipelines, treating identity as a core platform service. Monitor, debug, and optimize CIAM services for performance, resilience, and abuse detection in high-scale environments. • What we look for Strong experience designing and implementing CIAM systems, with deep, hands-on knowledge of OAuth 2.0, OIDC, SAML, and SCIM beyond basic configuration. 5+ years of professional backend software engineering experience Strong production experience in Python or a similar backend language Experience designing APIs, automation frameworks, and distributed systems Hands-on experience building and maintaining CI/CD pipelines Experience with GitHub-based development workflows and Buildkite or similar build systems Experience with cloud-native development, preferably AWS Hands-on experience extending and integrating CIAM platforms such as Okta, Auth0, Ping Identity, ForgeRock, or Azure AD B2C using custom code, hooks, and APIs. Solid understanding of backend and distributed systems fundamentals, including API design, data modeling, latency, error handling, and observability. Experience with Infrastructure as Code and automation tools such as Terraform, plus CI/CD pipelines for deploying backend services. Strong security fundamentals applied through engineering, including access control models, token handling, encryption, MFA, and privacy by design. Clear communication skills and the ability to work closely with product, frontend, mobile, and security teams while owning backend identity services. Familiarity with tools such as Cursor and other AI-augmented development environments Base Pay Grade - P Equity Grade - USA 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $181,000 - $241,000 This posting is for an existing vacancy #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is building the next generation of customer identity and authentication. This role is a hands-on engineering position inside Information Security, focused on designing and shipping core CIAM capabilities that protect customers and support growth. You will build and operate backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work closely with partner engineering teams and ensure identity features are delivered with strong security fundamentals, reliability, and operational rigor. • What you'll do You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. Design, build, and operate core CIAM backend services that support customer registration, authentication, authorization, account lifecycle, and profile management for B2C and B2B platforms. Implement and extend identity standards such as OAuth 2.0, OIDC, SAML, and SCIM in code, ensuring correctness, scalability, and clean integration patterns. Develop backend APIs and services in Python and Kotlin that expose identity capabilities to web, mobile, and partner applications. Integrate CIAM platforms with internal systems, including user data stores, messaging, fraud signals, and downstream customer platforms. Own secure authentication and account flows end to end, including MFA, step-up authentication, device binding, consent, and adaptive authentication logic. Automate CIAM infrastructure and deployments using Infrastructure as Code and CI/CD pipelines, treating identity as a core platform service. Monitor, debug, and optimize CIAM services for performance, resilience, and abuse detection in high-scale environments. • What we look for Strong experience designing and implementing CIAM systems, with deep, hands-on knowledge of OAuth 2.0, OIDC, SAML, and SCIM beyond basic configuration. 5+ years of professional backend software engineering experience Strong production experience in Python or a similar backend language Experience designing APIs, automation frameworks, and distributed systems Hands-on experience building and maintaining CI/CD pipelines Experience with GitHub-based development workflows and Buildkite or similar build systems Experience with cloud-native development, preferably AWS Hands-on experience extending and integrating CIAM platforms such as Okta, Auth0, Ping Identity, ForgeRock, or Azure AD B2C using custom code, hooks, and APIs. Solid understanding of backend and distributed systems fundamentals, including API design, data modeling, latency, error handling, and observability. Experience with Infrastructure as Code and automation tools such as Terraform, plus CI/CD pipelines for deploying backend services. Strong security fundamentals applied through engineering, including access control models, token handling, encryption, MFA, and privacy by design. Clear communication skills and the ability to work closely with product, frontend, mobile, and security teams while owning backend identity services. Familiarity with tools such as Cursor and other AI-augmented development environments Base Pay Grade - P Equity Grade - USA 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: London Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.   The individual in this role will manage teams in LON themselves while also facilitating.   Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community   Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives   Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites     Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for building inclusive, diverse, and high-performing teams Preferred - Experience at companies focused on AI/ML, search, or large-scale consumer applications - Previous experience as a site lead, office lead, or similar multi-team leadership role - Background in building infrastructure for LLM training or inference - Contributions to open-source infrastructure or AI infrastructure projects - Experience scaling teams from 0 to 20+ engineers - Active involvement in the London or European tech community - MBA or advanced technical degree What Success Looks Like: 30 Days - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure - Established relationships with key stakeholders across engineering, product, and leadership - Initial hiring plan and culture strategy for London site established - Help the Search, API, AI and Infra teams build out their hiring pipelines   90 Days - Core infrastructure team established and ramping in London - Clear technical roadmap and priorities defined for London-based teams - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) - London office actively participating in company-wide infrastructure initiatives   1 Year - London site operating as a high-functioning hub with 15-30+ engineers - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability - Strong talent brand established in London market with healthy hiring pipeline - London recognized internally as a strategic site contributing to Perplexity's technical leadership   Why Join Perplexity - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company - Work on cutting-edge AI infrastructure challenges at massive scale - Shape the culture and technical direction of an entire office - Competitive compensation including equity - Comprehensive benefits package - Flexible work environment - Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid)  Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: London Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.   The individual in this role will manage teams in LON themselves while also facilitating.   Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community   Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives   Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites     Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for building inclusive, diverse, and high-performing teams Preferred - Experience at companies focused on AI/ML, search, or large-scale consumer applications - Previous experience as a site lead, office lead, or similar multi-team leadership role - Background in building infrastructure for LLM training or inference - Contributions to open-source infrastructure or AI infrastructure projects - Experience scaling teams from 0 to 20+ engineers - Active involvement in the London or European tech community - MBA or advanced technical degree What Success Looks Like: 30 Days - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure - Established relationships with key stakeholders across engineering, product, and leadership - Initial hiring plan and culture strategy for London site established - Help the Search, API, AI and Infra teams build out their hiring pipelines   90 Days - Core infrastructure team established and ramping in London - Clear technical roadmap and priorities defined for London-based teams - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) - London office actively participating in company-wide infrastructure initiatives   1 Year - London site operating as a high-functioning hub with 15-30+ engineers - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability - Strong talent brand established in London market with healthy hiring pipeline - London recognized internally as a strategic site contributing to Perplexity's technical leadership   Why Join Perplexity - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company - Work on cutting-edge AI infrastructure challenges at massive scale - Shape the culture and technical direction of an entire office - Competitive compensation including equity - Comprehensive benefits package - Flexible work environment - Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid)  Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.