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Location: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Center Strategy & Commercial Management Specialist Sony Interactive Entertainment is seeking a Data Center Strategy & Commercial Management Specialist to support the ongoing evolution of SIE’s global colocation footprint. This role sits within the Technical Operations department of the Global Developer Future Technology Group (GDFT), the organization responsible for building and operating the data center infrastructure that underpins PlayStation’s Cloud Gaming, Broadcast, and Developer Platform services worldwide. Our colocation environments host critical workloads ranging from real-time game streaming to content distribution, developer build systems, and testing environments. The successful candidate will lead the strategic planning, commercial management, and capacity management of SIE’s global colocation estate, ensuring infrastructure availability aligns with business growth, resilience, performance, and cost objectives. This role is responsible for translating business growth forecasts into practical colocation capacity, power, and infrastructure strategies across existing and future sites. The role combines commercial leadership, provider management, infrastructure planning, and technical coordination across a complex global environment. This is not a facilities operations role; however, the successful candidate must possess strong technical literacy in colocation infrastructure, including mechanical and electrical resiliency models, power and cooling constraints, and operational dependencies, in order to support informed commercial, contractual, and strategic decisions. Responsibilities: Colocation Strategy & Capacity Planning – Translate business growth forecasts and platform requirements into short-, mid-, and long-term colocation capacity strategies across existing and future sites, accounting for scalability, resiliency, performance, and regional demand. Commercial Management – Own the commercial strategy and lifecycle of SIE’s global colocation footprint, including renewals, expansions, exits, commercial obligations, and strategic capacity planning across multiple providers and regions. Commercial Negotiations – Lead commercial negotiations with colocation providers for renewals, expansions, new capacity acquisitions, and related commercial agreements in partnership with internal legal and procurement teams. Provider Relationship Management – Develop and manage strategic relationships with colocation providers, ensuring effective oversight of contractual obligations, service delivery, commercial commitments, escalations, and operational performance. Infrastructure Planning Coordination – Partner with operations, engineering, product, and business intelligence teams to translate deployment forecasts into actionable power, space, and capacity requirements across the global estate. Colocation Sourcing & Market Analysis – Support colocation sourcing activities including market assessments, provider evaluations, regional capacity analysis, commercial benchmarking, and expansion planning. Vendor & Contract Oversight – Manage contract governance, service-level oversight, commercial risk, and compliance requirements across a diverse global provider ecosystem. Commercial Analysis – Support sourcing and capacity decisions through commercial analysis, provider benchmarking, market comparisons, and evaluation of colocation pricing, terms, and service offerings. Lifecycle Governance – Maintain oversight of key commercial and operational milestones, including lease events, capacity commitments, renewals, expansions, migrations, and decommissioning activities. Performance & KPI Management – Define, monitor, and report on operational and commercial KPIs to drive accountability, transparency, and continuous improvement across the colocation estate. Executive Reporting & Governance – Develop reporting and governance frameworks that provide clear visibility into capacity, commercial exposure, provider performance, risk, and strategic opportunities. Market & Industry Awareness – Maintain awareness of colocation market trends, regional supply dynamics, pricing movements, provider capabilities, and industry developments to support strategic decision-making. Regulatory & Sustainability Alignment – Ensure infrastructure planning and commercial decisions align with environmental, sustainability, regulatory, and compliance requirements across multiple global regions. Decision-Making & Strategic Recommendations – Operate effectively in environments with evolving or incomplete business forecasts, providing infrastructure and commercial recommendations that balance growth, risk, timing, and cost considerations. What We’re Looking For: 7+ years of experience in colocation strategy, data center commercial management, infrastructure sourcing, capacity planning, or related disciplines within large-scale global environments. Demonstrated experience leading commercial negotiations with colocation providers, including renewals, capacity expansions, pricing negotiations, SLAs, and contractual commitments. Strong understanding of colocation commercial constructs, including leases, service orders, SLAs, power commitments, contractual obligations, and provider governance models. Experience managing colocation provider relationships across multiple regions, with understanding of market dynamics, supplier capabilities, and commercial models. Strong understanding of colocation infrastructure, including power, cooling, resiliency, and capacity constraints, with the ability to connect technical considerations to commercial and business outcomes. Experience translating business or deployment forecasts into actionable infrastructure capacity, power, and space strategies. Experience supporting colocation sourcing activities including provider evaluations, market analysis, commercial assessments, expansion planning, and capacity negotiations. Experience evaluating colocation commercial proposals, pricing structures, service offerings, and contractual terms to support infrastructure and capacity decision-making. Strong analytical and organizational skills, with the ability to manage complex datasets, contractual obligations, lifecycle milestones, and regional planning assumptions across a global footprint. Experience developing governance processes, KPI frameworks, and executive-level reporting for infrastructure, commercial, or capacity management functions. Excellent communication and stakeholder management skills, with the ability to influence technical, operational, financial, legal, procurement, and business stakeholders across multiple levels of the organization. Self-motivated, detail-oriented, and comfortable operating within a fast-paced, globally distributed environment. Ability to operate effectively at both strategic and tactical levels, balancing long-term infrastructure strategy with day-to-day commercial and operational priorities. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $184,500 — $276,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: £265,000 — £375,000 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 | New York City, NY 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 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: United States Remote Workplace: Remote ABOUT THE TEAM Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them. YOUR MISSION You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us. WHAT YOU'LL DO - Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience - Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making. - Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment. - Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it. - Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship. - Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building. - Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is. - Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work. - Design agentic experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does. - Talk with users every week and bring what you learn back into the work. - Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions. - Share what you learn across the product organization so other teams can adopt the practices that work. WHAT YOU'LL BRING - 7+ years in product management, including shipping at least one AI product from concept to real users. - Recent hands-on experience building agentic or LLM-based products, including what went wrong and what you changed. - Technical fluency to design and read evals, and to work as a peer with engineers and ML engineers on context management, latency, reliability, and failure modes. - Sound judgment on model decisions: comparing models, routing across them, adopting new ones, and deciding when fine-tuning or a custom model is worth it. - Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices change margin. - A record of launching, rebuilding, changing direction, and killing ideas based on evidence - Comfort making high-stakes decisions with incomplete information, and being candid about the tradeoffs. - Experience owning outcomes while partnering with expert engineering and design leaders as true counterparts. - Experience creating structure where no playbook exists. - Experience with collaboration or productivity software. - Experience with forward-deployed or customer-embedded product work. - Experience with agent interoperability, including MCP. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Remote - USA Workplace: Remote SOLUTIONS ARCHITECT Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. Total Compensation: • Base Salary Range: $160,000-$185,000 • Offers Commission: 75/25 OTE • Offers Equity AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Manila Workplace: remote ELEKS Customer Support Office is looking for a Field Applications Engineer in Philippines.     ABOUT CLIENT Our client is a US-based technology company developing innovative software solutions for industrial automation and manufacturing environments. Its platform provides Git-based source control, real-time visibility into industrial operations, and advanced backup and recovery capabilities for automation systems. The company helps industrial organizations modernize their engineering workflows, improve operational reliability, and securely manage automation assets across complex OT environments. REQUIREMENTS 3+ years in Field Applications Engineering, Controls Engineering, Technical Support, or a similar customer-facing role Hands-on experience deploying and installing software on premises at industrial customer sites Strong experience with OT networking and network deployment, including connectivity, segmentation, and secure access; understanding of the Purdue model Practical experience with PLCs, HMIs, and industrial automation systems, including troubleshooting vendor software such as Rockwell Studio 5000 or Siemens TIA Portal Strong troubleshooting skills across controls, software, hardware, and networks; familiarity with industrial communication protocols Experience with Python, SQL, or another programming or scripting language Clear communication with technical and non-technical stakeholders; ability to work across Controls, IT, Cybersecurity, and Engineering teams Excellent written and spoken English RESPONSIBILITIES Lead on-premises deployments and installations of industrial automation software at customer sites Configure and troubleshoot OT network connectivity, infrastructure, and integration with existing industrial systems Ensure deployments align with the Purdue security model and OT network security best practices Troubleshoot PLC vendor software, industrial communication issues, and integration challenges Serve as the primary technical point of contact for deployed customers, providing troubleshooting and ongoing technical support Diagnose and resolve software, hardware, networking, and backup-related issues Collaborate with Product and Engineering teams to address complex technical issues and customer-specific integration requirements Conduct customer training sessions, technical workshops, and on-site enablement activities Support technical discovery, product demonstrations, and pilot deployments for prospective customers Provide recommendations on secure OT network access, system reliability, and backup and recovery practices Maintain technical documentation, troubleshooting guides, and deployment procedures Work closely with Customer Success, Support, Sales, and Engineering teams to ensure successful deployments and customer satisfaction

Location: United States Workplace: remote ELEKS Customer Support Office is looking for a Field Applications Engineer in the USA.     ABOUT CLIENT Our client is a US-based technology company developing innovative software solutions for industrial automation and manufacturing environments. Its platform provides Git-based source control, real-time visibility into industrial operations, and advanced backup and recovery capabilities for automation systems. The company helps industrial organizations modernize their engineering workflows, improve operational reliability, and securely manage automation assets across complex OT environments. REQUIREMENTS 3+ years in Field Applications Engineering, Controls Engineering, Technical Support, or a similar customer-facing role Hands-on experience deploying and installing software on premises at industrial customer sites Strong experience with OT networking and network deployment, including connectivity, segmentation, and secure access; understanding of the Purdue model Practical experience with PLCs, HMIs, and industrial automation systems, including troubleshooting vendor software such as Rockwell Studio 5000 or Siemens TIA Portal Strong troubleshooting skills across controls, software, hardware, and networks; familiarity with industrial communication protocols Experience with Python, SQL, or another programming or scripting language Clear communication with technical and non-technical stakeholders; ability to work across Controls, IT, Cybersecurity, and Engineering teams Excellent written and spoken English RESPONSIBILITIES Lead on-premises deployments and installations of industrial automation software at customer sites Configure and troubleshoot OT network connectivity, infrastructure, and integration with existing industrial systems Ensure deployments align with the Purdue security model and OT network security best practices Troubleshoot PLC vendor software, industrial communication issues, and integration challenges Serve as the primary technical point of contact for deployed customers, providing troubleshooting and ongoing technical support Diagnose and resolve software, hardware, networking, and backup-related issues Collaborate with Product and Engineering teams to address complex technical issues and customer-specific integration requirements Conduct customer training sessions, technical workshops, and on-site enablement activities Support technical discovery, product demonstrations, and pilot deployments for prospective customers Provide recommendations on secure OT network access, system reliability, and backup and recovery practices Maintain technical documentation, troubleshooting guides, and deployment procedures Work closely with Customer Success, Support, Sales, and Engineering teams to ensure successful deployments and customer satisfaction

Location: Remote-Sao Paulo; Remote-Mexico City Workplace: Remote LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION The Senior Business Analyst (Sr. BA) helps lead complex, cross-functional automation initiatives and drives high-value automation opportunities across the enterprise for Banking and Financial Services Customers. This role operates with a high degree of autonomy and serves as a strategic advisor to business stakeholders, ensuring automation solutions deliver measurable business outcomes aligned to enterprise objectives. The Sr. BA goes beyond documenting processes — they identify transformational automation opportunities, influence solution design decisions, shape change adoption strategies and contribute to reusable assets and best practices that elevate UiPath’s internal automation maturity.   WHAT YOU'LL DO AT UIPATH Strategic Opportunity Identification & Business Case Development - Proactively identify and evaluate high-value, cross-functional automation opportunities aligned to enterprise strategy. - Assess feasibility, complexity, scalability, and ROI of automation initiatives. - Define and quantify business cases with measurable outcomes (cost savings, efficiency gains, risk reduction, quality improvement). - Act as a trusted advisor to stakeholders in prioritizing automation initiatives. - Contribute to building and sustaining a robust automation pipeline. Complex Process Analysis & Solution Shaping - Lead end-to-end discovery for complex processes, including detailed As-Is and scalable To-Be designs. - Collaborate with Solution Architects to influence high-level solution architecture decisions. - Ensure requirements are complete, scalable, and aligned to enterprise architecture standards. - Serve as a quality gate for functional documentation (PDD validation and requirement clarity). - Anticipate downstream impacts across systems, integrations, and operating models. Stakeholder Leadership & Influence - Lead workshops with senior stakeholders to shape automation vision and solution direction. - Communicate automation sources of value in business terms tailored to executive audiences. - Navigate ambiguity and resolve complex scope or requirement conflicts. - Act as the primary liaison between business stakeholders, Solution Architects, and Developers. - Guide and mentor junior Business Analysts when applicable. Delivery Oversight & Cross-Functional Collaboration - Partner with Solution Architects and Developers through design, testing, and deployment phases. - Facilitate alignment on scope, acceptance criteria, and business validation. - Independently manage analysis deliverables across multiple initiatives. - Proactively identify risks, interdependencies, and mitigation strategies. - Support Agile ceremonies and facilitate stand-ups as needed. Change Management & Adoption Strategy - Design and implement change management strategies to drive sustainable automation adoption. - Develop stakeholder communication plans that promote “automation-first” mindset. - Identify adoption barriers and implement mitigation strategies. - Ensure business readiness for deployment and post-implementation transition. Platform & Industry Expertise - Maintain strong knowledge of UiPath platform capabilities and emerging automation technologies. - Leverage enterprise application expertise (e.g., Salesforce, Workday, NetSuite, Concur, Coupa, etc.) to identify integration opportunities. - Stay current on automation trends and recommend innovative use cases. - Promote reuse of automation components and blueprint patterns. Knowledge Contribution & Continuous Improvement - Identify and document reusable solutions and process blueprints. - Contribute to best practices, methodologies, and industry points of view. - Develop internal case studies and success stories to promote automation impact. - Drive continuous improvement in BA practices and documentation standards. WHAT YOU'LL BRING TO THE TEAM - 8+ years of experience in business process analysis, operations consulting, or automation initiatives. - Experience working within the Banking and Financial Services Industry - Demonstrated experience in complex, cross-functional process transformation. - Experience with enterprise applications such as Salesforce, Workday, NetSuite, Concur, Coupa, etc. - Strong analytical and conceptual problem-solving skills. - Proven ability to influence senior stakeholders. - Experience working in global, cross-functional environments. - Bachelor’s or Master’s degree in Computer Science, Engineering, MIS, Business, Finance, Accounting, or related field. - Strong English speaking and writing skills are required. Preferred: - Knowledge of UiPath and Agentic technologies. - UiPath Business Analyst certification (Professional level preferred). - Experience in Agile methodologies and JIRA or equivalent collaboration tools. - Experience designing change management strategies. #LI-KS6 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco Bay Area, California, United States; San Francisco, California, United States 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. Nebius is looking for a community-focused professional to join our global startup team as Startup Community Manager. In this role, you will lead community engagement and activation across Nebius' venture capital ecosystem, developing programs that connect investors, founders, and high-potential AI startups. Your mandate is to build relationships with VC platform and community teams, working alongside Nebius' VC Alliances team to activate priority venture partnerships through meaningful programming and portfolio engagement. You will lead partner outreach, develop curated programming, and bring together the right mix of investors and portfolio founders through intimate dinners, roundtables, and other community experiences that create value for the broader startup ecosystem. This role sits at the intersection of startup community development, ecosystem partnerships, and program activation, working closely with internal teams to expand Nebius' reach among high-potential AI companies. This position is based in the San Francisco Bay Area. Our San Francisco office is available for collaboration, but regular office attendance is not required. Your responsibilities will include: Lead Community Engagement & Ecosystem Activation Build and manage relationships with VC platform and community teams to identify opportunities for portfolio engagement and collaborative programming. Partner with Nebius' VC Alliances team to activate priority venture relationships through targeted community initiatives. Develop a repeatable engagement model that strengthens Nebius' connections with VC-backed founders and startup communities. Lead Community Programming & Ecosystem Activations Design and execute curated programs, including founder dinners, investor roundtables, and portfolio gatherings, in collaboration with venture ecosystem partners. Own end-to-end program development, including partner coordination, audience prospecting, invitation strategy, execution, and follow-up. Create high-value experiences that bring together the right mix of investors and portfolio companies while serving the needs of the startup ecosystem. Drive Portfolio Engagement & Startup Ecosystem Growth Identify and engage high-potential VC-backed startups aligned with Nebius' priority industries and customer profiles. Collaborate with Venture ecosystemand Sales teams to facilitate portfolio introductions and continued founder engagement. Surface emerging startup opportunities and ecosystem insights to inform Nebius' broader startup strategy. Measure Community Impact Track and report on community partner engagement, portfolio company participation, program performance, and startup pipeline influence. Use partner feedback and engagement insights to continuously improve programming and strengthen community activation. We expect you to have 3–5+ years of experience in startup ecosystem development, community building, strategic partnerships, or event programming. Experience working with venture capital platform teams, startup founders, or VC-backed startup communities, ideally within AI or enterprise technology. Demonstrated ability to build and manage relationships through proactive outreach and ongoing engagement. Experience designing and executing curated founder, investor, or executive-level programs. Strong audience development, relationship management, and organizational skills. Ability to operate independently in a fast-moving, cross-functional environment. A strong interest in AI, emerging technologies, and the venture capital ecosystem. It will be an added bonus if you have Existing relationships with Bay Area VC platform teams and startup founder communities. Experience managing VC portfolio engagement or investor-focused community programs. A track record of translating ecosystem engagement into meaningful startup relationships and business opportunities. Familiarity with AI infrastructure, cloud computing, or developer tools. Key employee benefits in the US: #LI-LG1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $140,000 — $170,000 USD 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: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a hands-on technical professional who enjoys working directly with enterprise infrastructure and helping colleagues solve IT problems within Galaxy's Data Center team. At Galaxy’s Tier 4 AI data center in Afton, Texas, you will work closely with Site Reliability Engineering and Network Engineering to deploy and maintain high-density GPU compute and high-performance networking infrastructure. You are comfortable troubleshooting servers, physical connectivity, Windows and macOS endpoints, and day-to-day employee technology issues. You follow documented procedures, communicate clearly, and are eager to grow your networking, systems administration, and infrastructure engineering skills. What You'll Do: Site Reliability Engineer (SRE) works to execute infrastructure deployments, maintain server and network hardware, troubleshoot physical connectivity, and support data center reliability. It also serves as an on-site IT support resource for Windows and macOS devices, endpoint management, account administration, and general technical troubleshooting . Key Responsibilities: Network Cabling & Connectivity Install, label, route, and maintain copper and fiber optic cabling. Troubleshoot physical connectivity involving cables, transceivers, patch panels, and switch ports. Perform basic copper and fiber connectivity testing using appropriate tools. Assist Network Engineering with physical-layer troubleshooting, equipment installation, and connectivity changes. Document cabling issues, port assignments, equipment connections, and rack elevations. Escalate complex network issues with clear troubleshooting findings. Onsite IT & End-User Support Provide Tier 1 and basic Tier 2 support for hardware, software, operating systems, account access, and connectivity. Provision, configure, deploy, troubleshoot, and maintain Windows and macOS laptops, desktops, and endpoint devices. Assist with device enrollment, configuration, application deployment, and compliance through MDM platforms such as Microsoft Intune. Support user accounts, password resets, access troubleshooting, and basic group management in Active Directory and Microsoft Entra ID. Troubleshoot Microsoft 365 applications, including Outlook and Teams. Support onboarding and offboarding, including device preparation, access, and equipment recovery. Install and troubleshoot printers, peripherals, conference room equipment, and on-site technology. Maintain device assignments, asset inventory, and endpoint lifecycle records. Track, document, and resolve IT support requests through the ticketing system. Infrastructure Reliability & Operational Support Respond to infrastructure alerts, hardware failures, and onsite incidents under SRE and Network Engineering direction. Perform routine equipment inspections and basic infrastructure health checks. Assist incident investigations by gathering information and performing on-site diagnostics. Follow change management, maintenance windows, and documented SOPs/MOPs. Document completed work, troubleshooting, and infrastructure changes. Collaborate with engineering teams and vendors to resolve technical issues. Participate in scheduled maintenance, including occasional after-hours work. What We’re Looking For: 1–3 years of experience in data center infrastructure, IT support, desktop support, or a related technical role. Hands-on experience installing, cabling, maintaining, or troubleshooting physical servers, switches, or enterprise IT equipment. Familiarity with racks, structured cabling, fiber optics, and basic data center hardware maintenance. Experience supporting and troubleshooting Windows and macOS. Familiarity with endpoint management or MDM solutions, preferably Microsoft Intune. Basic experience with Active Directory and/or Entra ID user account and access management. Understanding of IP addressing, Ethernet, DNS, DHCP, and basic connectivity troubleshooting. Experience troubleshooting end-user hardware, software, and peripherals. Familiarity with IT ticketing, technical documentation, and inventory management. Ability to follow technical instructions and engineering direction accurately. Strong communication, organization, collaboration, and problem-solving skills. Bonus Points: Experience in enterprise and/ or colocation data centers. Familiarity with enterprise server platforms. Exposure to networking equipment. Experience with fiber optics, transceivers, and/ or high-speed links. Experience with Intune enrollment, configuration profiles, compliance policies, and/ or application deployment. Experience with Microsoft 365 administration and/ or endpoint security tools. Basic familiarity with Hypervisor virtualization, VM management, and self hosted enterprise storage. Exposure to cable certification, fiber testing, and/ or network diagnostic tools. Familiarity with infrastructure monitoring, asset management, and/ or documentation platforms. Basic PowerShell, Bash, or Python scripting experience. Experience with employee onboarding, device lifecycle, and/ or IT asset tracking. Familiarity with IT change management and incident response. OSHA 10-Hour or OSHA 30-Hour Outreach Training completion (construction or general industry); current training card preferred. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (14) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and daily meals Smart, entrepreneurial, and fun colleagues Employee Resource Groups Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Manager, Business Development, you won’t just manage a pipeline—you’ll be the strategic engine driving Docebo’s next era of global growth in the AI-powered learning space. You will mentor, champion, and inspire an ambitious team of outbound pioneers, transforming aggressive targets into collective victories and career-defining milestones. Partnering shoulder-to-shoulder with sales, marketing, and executive leadership, you’ll architect modern engagement playbooks that open doors to premier global brands. If you’re energized by the thrill of coaching rising stars, challenging conventions, and making an indelible mark on an industry leader, this is your launchpad. ⚡ THE DAY-TO-DAY - Coach & Inspire the Team: Guide, mentor, and elevate a high-performing team of Business Development Representatives, fostering an inclusive, collaborative culture where continuous learning and shared wins thrive. - Architect the Growth Engine: Design and execute high-converting outbound business development strategies that captivate prospective enterprise buyers, unlock new market territories, and accelerate revenue pipeline. - Forge Cross-Functional Alliances: Collaborate in lockstep with Sales, Marketing, and Product teams to align go-to-market initiatives and engineer seamless, high-converting lead handoffs. - Decipher the Data: Dive deep into team analytics—from lead generation volume and conversion velocities to bottom-line revenue impact—leveraging actionable data to pivot tactics and drive decisions. - Champion Strategic Relationships: Cultivate lasting rapport with key executive prospects, partners, and internal stakeholders, serving as an executive sponsor for high-value enterprise pursuits. - Relentlessly Elevate Processes: Identify workflow bottlenecks, deploy modern sales enablement tools, and embed scalable operational best practices that supercharge day-to-day team efficiency. 🦸 YOUR SUPERPOWERS - Proven Leadership Prowess: 6+ years of relevant experience in business development, highlighted by a track record of successfully leading, coaching, and developing high-performing teams in a dynamic SaaS environment. - Target-Crushing Track Record: A proven history of consistently meeting and exceeding ambitious pipeline generation and revenue targets while inspiring teams to achieve their personal best. - Sales Tech Mastery: High proficiency with modern sales enablement tools, including Salesforce, Gong, and LinkedIn Sales Navigator. - Sharp Analytical Acumen: Natural fluency with pipeline metrics and data, with the proven ability to track team performance and translate analytics into winning tactical adjustments. - World-Class Communication: Exceptional interpersonal, coaching, and stakeholder-management skills, capable of building rapport with C-level prospects and motivating teams across the organization. - Empathetic Leadership: A servant-leader mindset dedicated to nurturing an inclusive, high-trust environment where every team member is empowered to bring their unique strengths to work. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Replit enables people to build software with AI. The systems underneath that experience must support safe production changes, measurable reliability, and predictable performance as usage grows. This Engineering Manager will lead SRE across observability, incident management, load testing, performance engineering, cloud cost and capacity, and rollout infrastructure. You'll lead and grow an existing team that builds and operates production platforms and works hands-on across application and infrastructure boundaries. This is a software-building leadership role, not simply an incident-management function. You'll help teams ship safely, understand production behavior, and remove performance bottlenecks through concrete engineering improvements. You should be comfortable going deep on a rollout failure or performance investigation while developing technical leaders and sustainable ownership across a distributed team. WHAT YOU'LL DO - Observability. Build and operate metrics, logs, traces, and alerting capabilities. Help teams establish meaningful SLOs and use production telemetry to diagnose problems and verify improvements. - Incident Management. Own incident tooling and practices, coordinate cross-team response, and turn incident reviews into engineering improvements that reduce recovery time and repeat failures. - Load Testing. Build and maintain load/failure testing capabilities. Validate critical paths under expected demand, quantify headroom, and test recovery and production readiness with service owners. - Performance Engineering. Lead deep engagements with internal teams on SLOs and end-to-end performance. Use profiling, telemetry, and load tests to identify bottlenecks and deliver improvements with service owners—not just recommendations. - Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools—including Replit—to prototype and automate. Apply rigorous review and verification to AI-generated changes. - Build and grow a high-ownership engineering team. Coach engineers, develop technical leaders, manage performance, and hire against agreed needs. Make distributed collaboration, mentoring, and backup coverage deliberate rather than relying on a few permanent escalation points. - Measure outcomes and close the loop. Track rollout safety, recovery time, repeat incidents, critical-path latency/throughput, test coverage, and improvements arising from cost/capacity analysis. Agree success measures and continuing ownership with partner teams. WHAT YOU'LL BRING - Demonstrated engineering management. You have led and developed engineers, made prioritization and performance decisions, hired thoughtfully, and delivered through a team—not only acted as its strongest individual contributor. - Software-oriented production systems depth. You have built and operated distributed systems or reliability platforms and can reason across deployment behavior, Kubernetes, telemetry, service dependencies, and recovery mechanisms. - Safe-change and performance judgment. You have led consequential migrations or incidents and used measurement to diagnose reliability or performance problems. You can distinguish symptoms from causes and validate fixes under realistic conditions. - Platform-product and cross-team judgment. You can build capabilities other teams adopt, lead hands-on engagements without absorbing every service's operations, and make clear tradeoffs among reliability, performance, engineering effort, and cost. NICE TO HAVE - Experience with GitOps or progressive-delivery platforms such as Harness, ArgoCD, or Kargo. - Experience with observability, profiling, load-testing, and failure-testing systems, including OpenTelemetry or comparable tooling. - Experience with cloud cost attribution, capacity planning, and provider coordination, particularly on GCP. - Experience growing distributed teams and using AI tools to increase engineering output while preserving production safeguards. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. The Role: This is an exciting opportunity to join and help grow Galaxy’s data engineering team in Mumbai at the start of building a next-gen, real-time, cloud-native analytics platform which is powered by kdb+ technology and AI-driven analytics. You will be working in a collaborative startup-like environment with data assets that span digital and traditional finance products, services and markets. Responsibilities: Ensure stability and quality of real-time ingestion processes Build and support kdb Insights (or KDB-X) modules, packages and pipelines processing billions of real-time messages daily Develop performant queries and functions to support business activities across various trading desks Build SRE tools focusing on proactive detection of performance bottlenecks across the platform’s core q, Python and Java processes running 24x7 in AWS Required Qualifications: 5+ years of core kdb+/q development Practical experience in developing, deploying and supporting large-scale kdb+ platforms, preferably in AWS Hands-on experience with kdb Insights, including advanced usage of microservices and development of packages, pipelines and UDAs (user-defined analytics) Hands-on experience with Kubernetes services in AWS Development experience using Python data processing libraries and PyKX Preferred Qualifications: Exposure to building Datadog dashboards with kdb metrics Experience with integrating kdb+ with enterprise lakehouses, specifically Databricks Experience using AI coding agents in development, testing, release and SRE lifecycles Experience in working with crypto products, markets and data What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology. What You’ll Do: Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales Operate Kafka as the message broker powering cross-team event-driven architecture Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS Support dbt for transformations and Airflow (or similar) for orchestration across the platform Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements Troubleshoo t production issues and drive the fixes Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: Bachelor’s or Master’s degree in Computer Science , Engineering, or related field 5+ years building data or platform engineering systems in production Strong coding skills in Python or Java Experience operating production data platforms on AWS and supporting downstream teams who build on them Hands-on with Kubernetes and Terraform Experience running Kafka (or a similar broker) in event-driven systems Working knowledge of Databricks/Spark, dbt, and Airflow Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server) Comfortable with CI/CD, testing frameworks, and observability tooling Bonus Points: Experience with d ashboarding technologies Experience with streaming engine ( flink , kdb ) Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support Experience in Crypto What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: United Kingdom - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. Security Engineer, Governance, Risk & Compliance (EMEA) The role: GRC work is at its best when it makes security clearer, more consistent, and easier to operate. As a Security Engineer focused on Governance, Risk & Compliance, you’ll help maintain and improve Chainguard’s compliance and risk programs while building the experience and judgment to take on broader ownership over time. You’ll work closely with experienced security and GRC partners to support SOC 2 Type II and ISO 27001 audit readiness, keep evidence and controls organized, help manage risk and remediation work, and improve the systems and processes behind our compliance program. This is an earlier-career, hands-on role. You don’t need to have led an audit or built a GRC function before. We’re looking for someone with strong organizational habits, good judgment, curiosity, and a willingness to learn. You’ll have clear areas of responsibility, regular opportunities to work cross-functionally, and support from teammates as you grow your expertise. Chainguard is building the secure foundation for software development and deployment. You’ll contribute to that mission by helping our security practices remain effective, measurable, and worthy of our customers’ trust. What you’ll do: Support audit readiness activities for SOC 2 Type II, ISO 27001, and other security assurance initiatives. Coordinate evidence collection with teams across Security, Engineering, Legal, HR, Product, and other functions. Help maintain security policies, standards, procedures, control descriptions, and supporting documentation. Assist with control testing, risk assessments, gap analysis, and remediation tracking. Keep compliance and risk information accurate and up to date in GRC platforms such as Vanta. Help translate auditor, customer, and internal security requests into clear next steps for the right stakeholders. Track action items, follow up on dependencies, and communicate status, risks, and blockers clearly. Identify opportunities to simplify and improve GRC workflows through better documentation, automation, and use of modern tooling. Develop and maintain repeatable processes, checklists, runbooks, and evidence-collection practices. Support customer security reviews, questionnaires, and third-party risk activities as needed. Learn Chainguard’s systems and security practices well enough to ask useful questions, identify inconsistencies, and escalate potential risks with clear context. Partner with senior members of the Security and Governance, Risk & Compliance teams on projects that improve Chainguard’s security posture. What we’re looking for: 2+ years of experience in information security, GRC, compliance, audit, risk, IT, or a related field; equivalent practical experience is welcome. Experience supporting audits, control activities, risk assessments, security questionnaires, or compliance programs. Strong organizational and project coordination skills, with the ability to manage details across multiple workstreams. Clear written and verbal communication skills, including the ability to explain requests and findings to both technical and non-technical stakeholders. A structured, detail-oriented approach to documentation, evidence management, and follow-through. Curiosity about how technology and security controls work, with the confidence to ask questions and investigate unfamiliar topics. Comfort working with spreadsheets, documentation systems, ticketing tools, and GRC platforms. An interest in improving repetitive processes through automation, better tooling, or clearer workflows. A collaborative, team-first approach and the ability to work effectively with colleagues across regions and functions. Comfort working in a fast-moving environment where priorities and processes continue to evolve. Nice to have: Experience with SOC 2, ISO 27001, NIST, or another security or assurance framework. Familiarity with GRC platforms such as Vanta, Drata, or similar tools. Experience with control testing, risk registers, remediation plans, or policy management. Exposure to cloud environments, SaaS applications, software development practices, or security operations. Familiarity with third-party risk management or customer security reviews. Experience improving workflows with automation, integrations, or lightweight scripting. Why you’ll love it here: We take security seriously without making it unnecessarily complicated. At Chainguard, you’ll: Learn by doing: Work on real security and assurance programs with support from experienced teammates. Challenge the status quo: Help simplify processes, improve tooling, and find better ways to get important work done. Collaborate across borders: Partner with colleagues across EMEA and the broader Chainguard organization. Grow your scope: Build the technical judgment and program-management skills needed to take on increasingly complex security initiatives. Win together: We share context, assume good intentions, and value collective success over individual heroics. Bring your whole self: We do serious work, but we also believe humor, curiosity, and enjoying the people you work with make the work better. Base Salary Range $89,000 — $105,000 USD About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: France; Germany (remote); Spain Workplace: Remote OUR VISION We aim to become the most beloved financial Operating System for French SMEs and Accounting Firms — and soon, European ones. We help entrepreneurs get rid of time-consuming accounting and financial tasks while giving them access to the information they need to make better decisions for their business. ABOUT US Pennylane is one of the fastest-growing Fintechs in France — and soon in Europe. In five years, we have: - 💻 Built a groundbreaking accounting and financial platform for SMEs and accounting firms - 💰 Raised €225 million from leading investors, including Sequoia - 👨‍👩‍👧‍👦 Grown from 7 co-founders to more than 850 Pennylaners - 🌍 Built an international and remote-friendly environment with more than 25 nationalities - 🤝 Earned the trust of thousands of customers and accounting firms - 🚀 Reached more than 700,000 SMEs and 4,500 accounting firms in France WHY THIS POSITION IS CRITICAL TO OUR MISSION At Pennylane, Product is at the heart of how we create value for our customers. We are now making a major bet on AI: not only to automate existing workflows, but also to fundamentally change how people interact with their financial software and extend what the product can do. Our AI ecosystem is being built across several complementary layers: - A shared AI platform, or “harness”, that provides the foundations required to run reliable agents: context, memory, tools, skills, loops, guardrails and observability - Studio Coworker, a conversational product experience that helps users analyse information and take action inside Pennylane - Autopilot, which automates accounting and financial workflows to reduce manual data entry - Studio Builder, the product you will own, enabling users to build and deploy personalised apps, automations and agents on top of Pennylane Studio Builder is our most ambitious AI product initiative. The idea is simple but powerful: give customers the ability to extend Pennylane according to their own needs, without requiring them to build everything from scratch. Users should be able to describe what they want to achieve and rely on AI to create, configure and deploy the right experience directly within Pennylane. This could unlock a new way to use financial software: more personalised, more extensible and increasingly capable of adapting to every company’s specific workflows. As Senior Product Manager, AI, you will shape this product from the ground up. You will define the vision, understand where AI can create genuine customer value and turn a highly complex technical ambition into a simple, useful and scalable product experience. You will join one of the key teams shaping the future of Pennylane. You can also read more about Pennylane’s position at the intersection of AI, accounting and financial software in The New York Times https://www.nytimes.com/2026/10/23/business/dealbook/pennylane-ai-accounting-france.html. WHAT YOU WILL OWN THE VISION AND STRATEGY FOR STUDIO BUILDER You will define how Studio Builder should help customers create, personalise and extend Pennylane. You will identify the most valuable use cases, understand where customers struggle today and establish a clear product strategy that balances ambition, usability and technical feasibility. THE END-TO-END BUILDING EXPERIENCE You will own the experience through which customers: - Define what they want to build - Configure the relevant data, context, tools and actions - Test and iterate on their app, automation or agent - Deploy it within Pennylane - Monitor its usage and improve it over time THE FOUNDATIONS OF AN EXTENSIBLE AI PRODUCT You will work closely with the AI platform team to ensure that Studio Builder makes the underlying capabilities of Pennylane accessible and useful to customers. This includes thinking deeply about how users interact with: - Context and memory - Tools and skills - Agent loops and workflows - Guardrails and permissions - Reliability and observability - Deployment and iteration A CLEAR PRODUCT OUTCOME You will define the metrics that matter and establish how we measure success. Depending on the stage of the product, this may include: - Activation and adoption of Studio Builder - Number and quality of apps, automations or agents created - Successful deployment and repeated usage - Customer value generated through personalised workflows - Reliability, trust and user satisfaction - Expansion of Pennylane’s product capabilities through customer-built experiences HOW YOU WILL CONTRIBUTE AS A PRODUCT MANAGER You will work in a highly collaborative environment with Engineering, Product Design, AI specialists and other Product Managers. You will: - Lead continuous discovery with SMEs, accountants and internal users - Turn complex customer problems into clear product opportunities - Define the product vision, strategy, roadmap and OKRs - Explore and validate new ideas through prototypes, experiments and MVPs - Work closely with engineers and designers from problem discovery through implementation and iteration - Make AI concepts understandable and valuable for non-technical users - Build strong product narratives and communicate them clearly to customers, stakeholders and leadership - Balance long-term product ambition with pragmatic, incremental delivery - Collaborate with the teams building the shared AI platform, Studio Coworker and Autopilot - Develop strong product principles for building AI-powered experiences at Pennylane - Measure the impact of what you ship and use those learnings to guide future decisions - Influence without authority across a complex, fast-growing organisation This is a hands-on product role. You will not only define what should be built — you will actively explore, prototype, test and help make the product tangible. You will also have the opportunity to shape how Product at Pennylane approaches AI: how we build AI products, how we explain their value and how we create experiences that customers can trust. WHAT YOU CAN EXPECT DURING YOUR FIRST MONTHS WITHIN ONE MONTH - You will learn about Pennylane, our customers, our product and our vision during onboarding - You will build a strong understanding of the accounting and financial workflows we support - You will familiarise yourself with our AI ecosystem, including the shared AI platform, Studio Coworker, Autopilot and Studio Builder - You will meet key stakeholders across Product, Engineering, Design and AI - You will speak with customers and internal users to understand the problems Studio Builder should solve - You will develop an initial view of the product opportunity and its main risks WITHIN THREE MONTHS - You will have defined a clear view of the most important customer problems and use cases - You will have contributed to or shaped the Studio Builder product strategy - You will have identified the first key opportunities and product bets - You will have worked with Engineering and Design on initial prototypes or MVPs - You will have established the first product metrics and discovery routines - You will have started building strong relationships with the teams working on the wider AI ecosystem WITHIN SIX MONTHS - You will be autonomous in defining and steering the Studio Builder roadmap - You will have shipped meaningful product improvements or a major product milestone - You will have created a strong understanding of what drives adoption, value and trust in the product - You will have established a clear and repeatable approach to building AI-powered product experiences - You will have influenced how other teams think about and use AI capabilities across Pennylane AND BEYOND As Studio Builder scales, you will have the opportunity to: - Shape a new product category within Pennylane - Expand the platform to support increasingly advanced customer-built experiences - Influence the broader AI product strategy - Help establish product principles, methods and best practices for AI at Pennylane - Mentor other Product Managers and contribute to the growth of our Product organisation - Grow towards a broader product leadership role or continue developing as a senior individual contributor WHAT DO WE DO TO MAKE YOUR WORK LIFE EASIER? 🏢 You can work remotely from anywhere in Europe, as long as your contract allows you to. 📈 You will receive company shares to enjoy a piece of the success story you are building with us. 🏡 You will have a budget to improve your home workspace, as well as a monthly allowance to work from a coworking space. ⛹️ Through our partner Gymlib, you will have access to 8,000 fitness spaces in Europe and more than 300 wellness activities. 🇬🇧 You will have access to Busuu to improve your English or French. 💻 You will receive the latest Apple equipment. 🎉 You will be part of a vibrant social community, with sports activities, afterworks, company seminars and regular opportunities to spend time together. And if you are based in France: 🏢 You can work from home, from a coworking space or from our office in central Paris. 🏝 You will receive 10 additional days off on top of the standard 25 days. 🍜 You will receive lunch credits through a Swile card. 🏥 You will benefit from Alan Blue healthcare coverage for yourself and your family. We are working on providing these additional benefits to people based outside France as well, but the details may vary depending on the country and contract. WHAT DOES THE RECRUITMENT PROCESS LOOK LIKE? - You will first have a general conversation with a Talent Acquisition Manager — 45 minutes - You will then speak with a member of the Product team to discuss your experience and assess your fit with our Product culture — 45 minutes - You will complete a live case study focused on an AI or product-building problem with members of the Product and Engineering teams — 1 hour 15 minutes - You will have a final conversation with Product leadership — 60 minutes We move fast. You can expect the recruitment process to take between 15 and 25 days in total. WHO ARE WE LOOKING FOR? - Proven experience as a Product Manager working on AI-powered products, developer tools, platforms, workflow automation, SaaS or other complex B2B products - Experience taking a product or product area from 0 to 1, with the ability to turn an ambitious vision into a concrete and focused roadmap - Strong understanding of how AI products are built and used, including experience with concepts such as agents, LLM-powered workflows, tools, context, memory, evaluation or guardrails - Excellent product sense and a strong ability to identify where AI can create genuine user value — rather than simply adding AI for its own sake - A hands-on and pragmatic mindset: you are comfortable prototyping, testing ideas, analysing data and working closely with engineers and designers - Strong user research skills and the ability to build conviction through direct conversations with customers - Excellent communication skills: you can explain complex technical topics simply and create a compelling product narrative - Strong strategic thinking combined with a bias towards action and delivery - Ability to work effectively in ambiguity and navigate complex technical, organisational and customer problems - Ability to influence without authority and build alignment across Product, Engineering, Design and leadership - A strong interest in the future of software, automation and extensible product platforms - Experience in fintech, accounting or financial software is not required, as long as you are curious about our industry and comfortable with complexity - French is not mandatory, but it would be a strong advantage - Nice to have: experience with agent platforms, developer ecosystems, low-code/no-code tools, workflow automation, open platforms or product-led growth This role is for you if you want to build a new kind of product — one that allows customers to extend their financial software through AI and helps define how AI products should be built at scale. 🇫🇷 Données personnelles Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇬🇧 Personal Data Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇩🇪 Personenbezogene Daten Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇪🇸 Datos personales Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement

Location: Chicago, Illinois; NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? As a Principal Customer Success Manager, you’ll partner with some of our largest and most complex enterprise customers to help them transform customer service with AI. You’ll work with executive sponsors, Support leaders, and cross-functional teams to connect Fin’s capabilities to business priorities and guide customers from strategy and implementation through adoption, measurable value, and renewal. You’ll own the success strategy for a portfolio of strategic enterprise customers, navigating complex organizations, multiple stakeholder groups, and evolving business needs. This is an opportunity to advise senior leaders, influence how global businesses deploy AI, and help shape the playbooks and best practices for our growing Customer Success team. Responsibilities Own the health, success strategy, and retention of a portfolio of strategic enterprise customers, partnering closely with Account Management on renewal plans. Build relationships across executive sponsors, operational leaders, technical teams, and frontline users. Develop multi-threaded stakeholder maps and ensure alignment across decision-makers and teams. Lead executive conversations, strategic planning, QBRs/EBRs, and success-plan reviews that connect Fin’s roadmap and performance to customers’ business priorities. Drive measurable value realization by tying Fin’s outcomes to customer goals such as cost savings, team capacity, customer experience, and service quality. Make progress and ROI clear to executive sponsors. Develop and prioritize customer-specific AI and automation roadmaps, aligning business objectives, operational readiness, technical dependencies, and measurable milestones. Guide complex enterprise implementations and adoption programs, including requirements gathering, process mapping, and documentation of workflows across teams, systems, or regions. Partner with Solutions Engineering, Product, Support, and other internal teams to translate customer requirements into effective Fin solution designs. Advise on configuration, knowledge strategy, integrations, and prompt design. Monitor leading indicators such as Fin resolution rate, involvement, CSAT, adoption breadth, and stakeholder engagement. Identify risks early and lead mitigation plans that protect customer outcomes and renewals. Analyze usage and performance data to identify optimization opportunities, close resolution gaps, and uncover expansion use cases. Maintain deep knowledge of Fin’s evolving capabilities and the AI-agent market, using that expertise to advise customers and position solutions against alternatives. Represent the Voice of the Customer internally, translating enterprise customer needs into actionable product feedback and influencing our solutions strategy. Mentor other CSMs and contribute to the playbooks, operating practices, and standards of a growing enterprise Customer Success team. What skills do I need? 8+ years of customer-facing experience in enterprise Customer Success, strategic account management, management consulting, strategy, or a related advisory role. Demonstrated experience working with large enterprise clients, including complex organizations, senior stakeholders, and multi-team or cross-functional programs. A track record of building executive relationships and influencing decisions across a range of customer stakeholders, from C-suite leaders to operational and technical teams. Demonstrated success driving adoption, retention, process improvement, and measurable business outcomes for enterprise customers. Experience with business process mapping, requirements analysis, solution design, or complex technology implementations. Strong commercial judgment and the ability to connect product performance and customer outcomes to ROI, renewal strategy, and expansion opportunities. Strong technical acumen and a genuine interest in AI, automation, and agent-building. Coding experience is not required. Ability to simplify complex problems and communicate clearly with both executive and technical audiences. Excellent prioritization and program-management skills, with the ability to manage competing priorities across a strategic customer portfolio. Self-motivated, adaptable, and curious, with the judgment and ownership to operate effectively in a fast-changing environment. A collaborative team player who can influence across functions, advocate for customers, and help elevate the work of the broader team. The OTE range for candidates within the New York or San Francisco Bay Area is $222,300- $247,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). The OTE range for candidates within the Greater Chicago Area is $200,070 - $222,300. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. What you'll do: • Collaborate closely with Finance, IT and internal stakeholders to understand business objectives, and define project scope, goals, deliverables, resource requirements and milestone schedules for finance-related initiatives. • Lead cross-functional teams, including developers, QA engineers, system administrators and business analysts, to deliver IT projects on time, within scope and within budget, from kickoff through go-live and handover to support. • Establish project governance: project charters, RACI, steering committees, decision logs and clear escalation paths, so ownership and decisions are never ambiguous. • Build and maintain integrated project plans, managing the critical path, dependencies and milestones across several workstreams and teams. • Implement project management frameworks (Agile, Scrum, Kanban or hybrid approaches) to streamline workflows, adapting them to fixed finance deadlines such as month-end, quarter-end and audit dates. • Identify manual, repetitive Finance processes and deliver AI-driven process automation: define the business case, success metrics and controls, run pilots, and track adoption and measured savings. • Conduct risk assessments, anticipate blockers, and deploy prompt mitigation or escalation strategies, maintaining risk, issue and dependency logs, including data quality, security, access- control, AI-use and regulatory risks specific to financial data and multi-country operations. • Prepare regular status reports, track KPIs, and maintain transparent communication with leadership, Finance stakeholders, clients and vendors. • Monitor project expenditure, forecast resource allocation, and manage third-party vendor relationships, including statements of work, acceptance criteria and escalations. • Work directly with engineers and architects on integrations between finance and business systems, data flows, testing, environments and releases, and challenge technical estimates when needed. • Run the change request pipeline, release planning, cutover and go-live coordination, and post- implementation reviews, and capture lessons learned. • Develop and deliver training materials and workshops so Finance and IT stakeholders can adopt new solutions and automations. • Stay informed about industry trends and emerging technologies, including AI, and apply that knowledge to improve finance operations and delivery practices. What we are looking for: • Bachelor's degree in Information Technology, Computer Science, Engineering, Finance, Business Administration or a related field. A master's degree is a plus. • Proven experience (5 to 8 years) managing IT projects, including technical or digital transformation projects delivered end to end as the accountable lead. • Strong project management skills, with the ability to manage multiple projects and workstreams in parallel, plan critical paths and dependencies, and track delivery through KPIs and risk, issue and dependency logs. • Experience setting up and running project governance, including charters, RACI, steering committees, change control and post-implementation reviews. • Hands-on experience with Agile, Scrum, Kanban and Waterfall, and ability to run hybrid delivery. PMP strongly preferred; PRINCE2, CSM or PSM valued. • Experience owning project budgets and forecasts and governing external development or integration vendors, including statements of work and acceptance criteria. • Hands-on experience delivering AI-driven process automation, for example with LLM-based assistants, document and data extraction, RPA or low-code workflow platforms, including assessing which processes are good automation candidates, defining controls and managing pilots through to adoption. • Experience delivering projects for Finance or other regulated, numbers-driven functions, such as reporting and analytics, treasury or payments integrations, and payables and receivables tooling, with an understanding of month-end close, controls and audit needs. • Strong technical knowledge of the SDLC, cloud and infrastructure, APIs and system integrations, databases and data pipelines, and testing and release management. • Proficiency in Jira, Confluence and Microsoft Project, and advanced Excel and PowerPoint for budget tracking and reporting. • Exceptional communication and presentation skills, with the ability to convey complex information to Finance, IT and executive stakeholders, plus leadership without direct authority, negotiation and conflict resolution. • Fluent English. Why join Aleph: Visible, business-critical impact: your projects shape how Aleph’s Finance function closes the books, pays and gets paid across 130+ markets. You’ll have direct visibility to IT and Finance leadership. Real AI automation, not slideware: you will take AI-driven process automation from business case to pilot to measured savings. That builds one of the most in-demand skill sets in finance technology. Room to grow: multi-country, multi-entity programmes, e-invoicing and compliance changes give you the breadth to grow toward programme and portfolio leadership. A collaborative, inclusive team: you’ll work alongside Finance, engineering and architecture colleagues who value clear ownership, open communication and different perspectives, in a hybrid set-up based in Madrid. At the centre of digital advertising: Aleph partners with TikTok, Amazon, Google and nearly 55 other platforms, so the finance technology you deliver supports one of the world’s fastest-moving industries. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 50,000 EUR. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role.   #ALEPH Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH