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Location: United States, Los Angeles, CA 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. JOB PURPOSE: The Technical Program Governance team enables complex technical initiatives across PlayStation engineering organizations by creating clarity, alignment, and disciplined execution across organizational boundaries. As a Staff Technical Change Manager, you will lead the people, adoption, and organizational dimensions of complex technical change across engineering and technology organizations. You will work alongside technical leaders, architects, program managers, and delivery teams to understand what is changing, who is affected, what will be required of them, and how to move from awareness to sustained adoption. This is a technical change role. Success requires more than familiarity with software-development terminology or experience working near engineering teams. You must be able to understand systems, platforms, architecture, integrations, engineering delivery models, and technical dependencies well enough to identify meaningful change impacts, ask informed questions, and translate technical decisions into practical organizational action. This role offers the opportunity to build and shape change capability from the ground up. You’ll help define how change is led, scaled, and embedded across a growing technical organization, creating practical approaches that can evolve with the business rather than inheriting a fixed playbook. EXPERIENCE & QUALIFICATIONS: Essential Bachelor’s degree or equivalent Demonstrated experience leading complex, cross-functional organizational change within technology, engineering, digital, or technical environments. Strong technical fluency across modern software and technology environments. Able to understand systems, platforms, architecture, integrations, engineering workflows, and technical dependencies well enough to assess organizational impact and engage credibly with technical leaders.\ Proven ability to translate complex technical concepts and decisions into clear stakeholder impacts, adoption needs, communications, enablement plans, and practical actions. Deep practical knowledge of organizational change methods and tools, combined with the judgment to adapt, combine, simplify, or move beyond a methodology when the situation requires it. Experience developing end-to-end change strategies, including stakeholder analysis, impact assessment, readiness, communications, engagement, learning or enablement, adoption measurement, and reinforcement. Strong independent judgment and problem-solving skills, with a record of operating effectively in ambiguous environments where the change strategy, operating model, or path forward is still being created. Ability to influence senior technical and business leaders, facilitate difficult conversations, build alignment across competing priorities, and move decisions forward without direct authority. Experience using qualitative and quantitative signals to assess adoption, identify resistance or friction, test assumptions, and adjust strategy based on evidence rather than process compliance. Demonstrated ability to create reusable frameworks, playbooks, tools, and guidance and to coach others so change capability scales beyond the individual. Excellent written and verbal communication skills, including the ability to produce concise executive narratives while retaining enough technical substance for engineering audiences. Desirable Consulting or transformation advisory experience, particularly in environments requiring rapid context building, executive influence, and practical recommendations across multiple clients, organizations, or business units. Experience building or materially evolving a change capability in an organization where practices, roles, standards, and expectations were not already mature or consistently established.\ Experience supporting platform, infrastructure, cloud, architecture, developer tooling, enterprise systems, or other technically complex transformation work. Experience working directly with engineers, architects, technical program managers, product leaders, and senior technology executives. Background in the games, interactive entertainment, or large-scale technology industry. Formal change-management certification. KEY RESPONSIBILITIES & SCOPE FOR DECISION MAKING: Technical Change Strategy and Delivery Lead change strategy and execution for complex technical initiatives spanning multiple teams, organizations, technologies, or geographies. Build a clear understanding of the technical change itself, including affected systems, dependencies, operating models, workflows, roles, and decision points, before determining the appropriate change approach. Translate technical implementation plans into stakeholder impacts, readiness needs, adoption risks, engagement strategies, and measurable change outcomes. Embed organizational readiness into the design and delivery of major initiatives, helping ensure change is considered from the beginning and translated into sustained adoption, stronger execution, and measurable business impact. Identify adoption barriers early, frame the underlying problem, and drive practical interventions that address behavior, capability, process, structure, or incentives as appropriate. Define meaningful measures of readiness, adoption, and sustained use, and adjust strategy when evidence shows the current approach is not working. Technical Partnership and Organizational Judgment Partner closely with engineers, architects, technical program managers, product leaders, and subject-matter experts to understand technical decisions and their organizational consequences. Ask informed technical questions, challenge assumptions constructively, and surface dependencies or downstream impacts that may otherwise be missed in change planning. Operate as a trusted advisor to senior leaders, bringing clear recommendations, rationale, risks, tradeoffs, and expected outcomes rather than relying on escalation or waiting for direction. Demonstrate strong judgment about where and how change leadership can add value. Read the room, adapt to the audience and organizational context, and apply the right level of structure to accelerate outcomes without introducing unnecessary process. Use organizational context, stakeholder insight, and data to determine where leadership attention is required and where teams can move independently. Connect technical transformation to business and organizational outcomes so leaders understand not only what is changing, but why it matters and what successful adoption looks like. Capability Building and Scale Help build a practical, scalable technical change-management capability, including reusable frameworks, playbooks, templates, decision guides, and operating practices. Create lightweight approaches that can be used by program and technical leaders directly, reserving specialist change support for the work where it creates the most value. Coach leaders, TPMs, and cross-functional partners on stakeholder engagement, readiness, adoption planning, resistance, and reinforcement so change knowledge spreads through the organization. Use strong facilitation and organizational judgment to bring the right people together, navigate competing perspectives, and turn complex conversations into clear decisions, alignment, and action. Capture lessons learned and patterns across initiatives and use them to improve future change strategies, tools, and organizational practices. Leave teams more capable than you found them by building knowledge, confidence, and repeatable practices that continue beyond an individual initiative. KEY PERFORMANCE INDICATORS ·       Sustained adoption and organizational readiness for complex technical changes, demonstrated through measurable use, behavior change, or operating outcomes. ·       Quality and timeliness of change-impact identification, stakeholder strategy, risk management, and interventions across multiple initiatives. ·       Demonstrated technical credibility and effectiveness partnering with engineering, architecture, program, and senior leadership audiences. ·       Evidence that change approaches are adapted based on context, feedback, and data rather than applied mechanically. ·       Measurable growth in organizational change capability through reusable tools, coaching, knowledge sharing, and increased self-sufficiency of partner teams. ·       Senior stakeholder confidence in the clarity, practicality, and strategic value of change recommendations and execution. The individual will be measured on: Successful adoption and sustained impact of complex technical and organizational changes, with clear evidence that intended outcomes are understood, adopted, and embedded. Ability to identify where change leadership will have the greatest impact, applying sound judgment and the appropriate level of structure based on the audience, environment, risk, and desired outcome. Quality of strategic partnership with technical and business leaders, including the ability to build trust, navigate organizational dynamics, challenge constructively, and influence decisions. Effectiveness in translating complex technical change into meaningful organizational action, connecting technical direction with what teams need to understand, do differently, and sustain. Measurable improvements in organizational readiness and adoption, using meaningful indicators and feedback to identify barriers, adjust strategy, and improve outcomes. Growth of scalable change capability across the organization, including practices, approaches, and knowledge that enable leaders and teams to manage change more effectively without continued direct support. Ability to strengthen and evolve the organization’s approach to change, identifying opportunities to improve how change is led and building practical capabilities that can scale as the organization matures. Effectiveness operating independently in complex and ambiguous environments, bringing recommendations, exercising strong judgment, and driving work forward without requiring a predefined playbook. 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. $173,000 — $259,400 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 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: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and build a structured onboarding program for new Account Executives and Sales Engineers, with role-specific tracks - Deliver onboarding live and asynchronously: cohort sessions, workshops, certifications, and role-plays - Introduce what AI Fluency means at Sierra and how to incorporate it into daily sales activities (account research, call prep, call recaps, pipeline updates, etc.) - Make sure every seller can explain, demo and stand behind how Sierra uses AI, so they can speak credibly with customers who are learning to deploy AI themselves - Establish baseline ramp metrics (time to first meeting, first deal, quota attainment, SE readiness) and set targets for reducing them - Use AI tools to scale enablement itself: faster content creation, AI-driven role-play and call coaching, and self-serve answers to seller questions - Partner with Product, Marketing, Sales Leadership, and Sales Engineering to keep content accurate as the product and market change - Recruit subject-matter experts, including top sellers and SEs, to teach and coach in the program - Gather feedback from new hires and managers, and iterate on the program quarterly - Build the global program so it can be adapted for regional teams, including our London office WHAT YOU’LL BRING - 6+ years in sales enablement at a high-growth B2B software company, with hands-on onboarding or training experience and experience managing cross-functional programs - Experience designing and delivering onboarding for both quota-carrying sellers and technical sellers - Track record of prioritizing competing requests from senior stakeholders and saying no with data - Track record of tying enablement work to business outcomes, not just completion rates - Strong facilitator, comfortable teaching experienced sellers and executives - Willing to do the hands-on work in the early months, not just manage it, and comfortable building from scratch with limited process and few resources - Able to learn a technical product ([AI agents / enterprise software]) well enough to teach it credibly - Hands-on, daily use of AI tools in your own work, and experience teaching others to adopt new tools and change how they work EVEN BETTER… - Experience running sales kickoff or product launch enablement - Experience selling or supporting sales in AI, SaaS, or enterprise software - Familiarity with enablement platforms (e.g., [Highspot, Seismic, Salesforce, Gong]) - Experience running onboarding through rapid headcount growth, or handing a program to a successor OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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. The Editorial Publishing team is looking for a team member to write, edit, and review material that Anthropic publishes about its own systems, including model cards, risk reports, safety and security reports, and other technical material. You’ll have a front-row seat to some of the most consequential material a frontier AI lab produces, working cross-functionally with teams like Alignment, Interpretability, Safeguards, Policy, and Legal to produce rigorous reports on tight timelines. You’ll be describing model behavior, training environments, evaluation methods, and their limitations, and must be legible to both technical experts and general-public readers. The ideal candidate brings clarity and structure to complex writing and editing processes involving many stakeholders. Key responsibilities Write and edit technical public-facing reports and blogs for Anthropic Takes pieces from inception to publication on short deadlines Solicit input from partner teams across Anthropic, while preserving narrative clarity Minimum qualifications Strong alignment with our mission and experience working in AI safety Strong writing and editing skills, with a portfolio of published work that demonstrates an ability to explain technical subjects to non-specialist readers Familiarity with how frontier AI systems are trained, evaluated, and deployed A track record of shipping accurate, polished work on short deadlines and under pressure Ability to work with subject matter experts to understand technical concepts and fact-check assertions Strong judgement about how to incorporate legal, policy, and reputational considerations into the work Comfort taking ownership in a fast-moving environment where processes are still taking shape Preferred qualifications Experience writing or editing safety or security reports, postmortems, transparency reports, or similar public disclosures Experience as a technical writer or editor at a technology company or research lab Comfort working in a content management system (CMS) and publishing web content Experience using AI tools like Claude to streamline editorial processes 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 — $295,000 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. 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: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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. 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: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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. 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: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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. 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.

As a Senior Software Engineer, you'll be a key technical leader, driving the design, development, and maintenance of our core backend services. ● Lead System Architecture: Spearhead the architectural design of backend systems, ensuring they are secure, reliable, high-performance, and align with our long-term technical vision.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the team The Subscription Strategy & Performance team sets the strategic direction and performance bar for Wolt+ and Deliveroo Plus across EMEA. We sit within Subscription EMEA, whose vision is to build the best local-commerce membership programme in the region. The Strategy & Performance team owns the subscription strategy, planning rhythm, and performance, turning subscriber data into priorities, investment choices, and leadership-aligned strategies that other teams can act on. We work closely with other subscription teams and market teams. About the role We're looking for a Senior Associate to to own strategic projects and lead analyses that help define the strategy & goals for the team. You’ll partner closely with other subscription team members and local market teams to identify opportunities, align priorities and execute initiatives. You'll be expected to move fluidly between deep-dives, planning inputs, and stakeholder communication, and to be a trusted subscription counterparty on cross-functional projects. Success means you become the trusted counterparty for subscription related topics, leadership trusts your outputs, and your work helps to guide our priorities. Typical problems you'll own Where is subscription performance ahead or behind ambitions, what are the drivers and what interventions should we drive? How do we ensure we stay competitive and build a top class membership product across markets? What do customers value and how should we improve our product to be closer to our vision of a leading EMEA local-commerce membership programme? What you’ll be doing Identifying opportunities to improve subscription program performance across markets by analyzing gaps, doing opportunity sizing Building recommendations on levers to pull & product features to build to boost growth, improve profitability and build a winning subscription program Translating findings and recommendations into leadership communications: writing clear strategy documents and presenting recommendations, trade-offs Helping to set prioritization among investment choices when engineering, product and ops capacity is limited Helping to run the weekly operating & reporting cadence Exploring how AI and automation can speed up reporting, insight generation and recurring analysis workflows Our humble expectations 2+ years of experience in strategy & operations, strategy consulting, investments, or business operations - ideally with exposure to subscription/membership businesses, or consumer tech Commercial acumen: comfortable with consumer subscriber and marketplace dynamics; able to connect analyses to business implications and understand the consumer lens Analytical rigour: You go from question to query to narrative without needing a dedicated data engineer. You can read code, you’re comfortable with AI tools and master spreadsheets Bias for action and ownership: you bring structure to ambiguous problems and drive work to a finish, driving execution beyond recommendations Cross-functional influence: able to work with product, finance, legal, and local markets and align people around evidence Excellent written and verbal communication in English; you present trade-offs clearly to senior audiences Based in Helsinki or Berlin and comfortable with occasional cross-border travel as needed Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Edmonton, Alberta, Canada Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market. About the role The Operations Administrative Assistant is responsible for reporting, tracking, coordinating, and maintaining key projects within the manufacturing group. The role supports manufacturing operations through KPI reporting and ERP data management. The Administrative Assistant provides administrative, reation, reporting, procurement support and general office administration. The role also supports reception management, mail distribution, and acts as backup for key roles as required.porting and coordination support to the Edmonton leadership team. Responsibilities include ERP administration, timecard processing, document control, meeting coordination. In this role you will: Report on production KPIs and departmental metrics. Assist with ERP data management and reporting requirements. ERP timecard entry. Manage incoming and outgoing mail, enter production data and reports, prepare CAPEX documentation and presentations, and maintain office supplies. Support recruitment activities as directed by the Site Manager. Support key manufacturing priorities. Assist with ERP data management and reporting requirements. Produce month-end reports for the Site Manager. Provide administrative support for manufacturing as directed. Collaborate with manufacturing teams to achieve departmental objectives. Support supervisors and managers with reporting and administrative requirements. Provide backup for the Operations Technician, prepare weekly schedules, and coordinate overtime call-outs. Promote a culture of safety, quality, and continuous improvement. Perform other duties as assigned. Schedule: Monday to Friday schedule with work hours 7:00am to 3:30pm. You will have: Qualifications: Minimum Grade 12 diploma or equivalent. Post-secondary education is preferred. Office Administration Certificate and/or equivalent experience. Experience: Experience using Microsoft Office applications. Experience supporting manufacturing or industrial operations. Experience with reporting and administrative functions. Administrative assistant experience is an asset. Skills and Knowledge: Advanced data entry skills (Microsoft Office, Excel and Word and Power Point). Strong organizational and multitasking abilities. Ability to prioritize work and meet deadlines. Strong written and verbal communication skills. Knowledge of ERP systems and manufacturing reporting. Excellent customer service skills. Why join Bradken? We believe our people are our greatest asset. Keeping our team safe and healthy; physically and mentally has always been our top priority. We encourage and support dynamic and flexible work options to promote a healthy balance and let you get the most out of your time. Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions. We live by our values of Challenge , Customer and Communication – they drive us to constantly move forward , to adapt and to thrive . Bradken is one of the world’s leading solutions providers for mining equipment parts. We specialize in the innovative design and manufacture of cast and fabricated iron and steel products for the mining and resources sector, and we also expertly serve rail and transit, energy, structural and industrial casting and defence markets. We offer: Successful applicants will be eligible for the following on DAY 1 of Employment : Full Health, Dental, and Vision benefits Life and AD&D coverage Short-Term and Long-Term Disability coverage Paid Vacation Successful applicants will be eligible for the following after 90 days of employment: RRSP with a company match Employee Training and Education Reimbursement opportunities Other Benefits: This position qualifies for eligibility to receive annual bonuses. How we hire : Before commencing employment , you will be required to complete a background check and pre-employment medical. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer and we are committed to providing a diverse, inclusive, engaging and flexible en­vironment for our people because great things happen when individuals are given the opportunity to bring themselves into their work. All employment will be based on merit, competence, performance and business needs. *While we thank all applicants for their interest, only candidates in consideration for the role will be contacted.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Ecosystem Operations Manager at GitLab, you'll own the technology, processes, and operational infrastructure behind our channel, distribution, original equipment manufacturer (OEM), global systems integrator (GSI), and managed service provider (MSP) partnerships. You'll shape how our partners go to market, serving as the primary process owner for deal registration, partner programs, partner quote-to-cash, and partner attribution. You'll combine operational strategy with hands-on execution, using artificial intelligence (AI) to automate workflows and help ecosystem operations scale. What you'll do Design and govern end-to-end partner processes, including deal and referral registration, service attach, two-tier distribution, rules of engagement, and quote-to-cash. Partner with Deal Desk and Billing on resale, distribution, OEM, GSI, and MSP transaction workflows, and resolve complex registration, quoting, and billing escalations. Own operational execution of partner tiering, onboarding, certification compliance, not-for-resale (NFR) licenses, rebates, and incentives, including eligibility tracking, approval routing, and payments. Own and administer the partner technology ecosystem, including Impartner partner relationship management (PRM), Salesforce customer relationship management (CRM) partner objects, deal registration, and partner portals. Maintain system health and data integrity, and co-manage vendor roadmaps, renewals, and service-level accountability. Partner with Revenue Technologies and Systems to maintain integrations across partner platforms, Salesforce, enterprise resource planning (ERP), quoting, billing, and financial systems, including partner attribution and compensation data flows. Lead prioritization and user acceptance testing (UAT) for implementations, migrations, and platform enhancements with IT and Enterprise Applications. Own the ecosystem data model and work toward one standard partner attribution record across the customer lifecycle. Serve as a resource for Ecosystem Sales, partners, and internal teams on attribution, territory, and compensation-impacting data, and maintain reporting and dashboards as a single source of truth for partner pipeline, registration activity, and program performance. Lead ecosystem month-end close with Deal Desk, Compensation, Accounts Receivable, and Finance, covering opportunity corrections, partner splits, territory review, and reconciliation. Identify, build, and deploy AI agents to automate workflows such as deal registration routing, NFR provisioning, partner data quality checks, and reporting. Evaluate processes for opportunities to reduce manual effort, improve consistency, and shorten cycle times. Maintain the authoritative ecosystem process map, runbooks, and training materials. Support tool configuration, testing, and end-user training. Own channel price files and partner quoting for product launches and stock keeping unit (SKU) changes. Coordinate improvements with operational peers, IT, Finance, Product, and Legal through GitLab Work Items. What you'll bring Experience in business-to-business software-as-a-service channel or partner operations, with direct ownership of ecosystem workflows and the ability to work independently in a remote environment. Hands-on experience with Impartner or an equivalent PRM platform, including deal registration and partner portal administration. Strong working knowledge of Salesforce CRM, including partner objects, opportunity management, Flow, validation rules, reports, and dashboards. Deep familiarity with resale, two-tier distribution, deal registration, rules of engagement, partner discounting, and partner quote-to-cash, plus an understanding of OEM, GSI, and MSP transaction structures and operational requirements. Direct experience operating partner programs, including tiering, certification compliance, rebates, and incentives, with responsibility for execution and compliance. Experience designing and documenting complex operational processes for distributed teams, translating business needs into detailed system requirements and configuration, and leading user acceptance testing through release. Hands-on experience using AI tools and building agents to automate operational workflows, from evaluating opportunities to delivering working solutions. Experience resolving ambiguous operational escalations across systems, teams, and partner relationships, and aligning Deal Desk, IT, Finance, Compensation, Legal, and Sales around operational changes. About the team Our Ecosystem Operations team works closely with Systems, Revenue Technologies, Deal Desk, Ecosystem Programs, Enablement, Finance, Compensation, and Legal. We enable consistent execution across Ecosystem Operations Specialists and cross-functional partners. You'll also partner with the Senior Hyperscaler Operations Manager, who owns Amazon Web Services and Google Cloud operations, on shared systems, the ecosystem data model, and month-end close. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $104,800 — $176,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT MISTRAL AI At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Vibe, the AI assistant for life and work, and Forge, our platform to build frontier models We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, Dubai and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careersmistral.ai/careers http://mistral.ai/careers.     Role summary The Southern Europe Enterprise Sales organization is entering a rapid scaling phase. To support this growth, we are seeking a Chief of Staff to the VP of Revenue Europe South drive organizational effectiveness, strategic planning, and execution of high-priority cross-functional initiatives across the region. This is a strategic role offering exceptional exposure and global impact. You will work closely with the VP of of Southern Europe Enterprise Sales to structure the team, lead strategic projects, organize internal reporting, and liaise with other teams. This phase offers a unique opportunity to build a global perspective on partnership priorities while owning critical initiatives.     What You Will Do STRATEGIC LEADERSHIP AND PLANNING - Design and implement the next-stage Southern Europe Enterprise Sales operating model to support rapid headcount growth and expansion across the region (France, Italy, Spain, Portugal, and emerging markets). - Own annual planning, OKR orchestration, and executive performance reviews to improve alignment and execution discipline. - Drive company-level programs involving Sales, Partnerships,, Product, Marketing, Finance, and Operations (new market entries, enterprise account launches, sales plays). - Lead strategic projects to leverage AI for enhancing go-to-market effectiveness. OPERATIONAL EXCELLENCE - Drive preparation and follow-up of executive reviews, business performance tracking, and strategic decision-making processes. - Structure complex problems, define execution plans, and ensure delivery against business priorities. - Improve the GTM operating model, processes, and organizational effectiveness to support scaling. - Build scalable frameworks to support GTM growth and operational efficiency. CROSS-FUNCTIONAL COLLABORATION - Lead cross-functional strategic initiatives across the Partnership organization (Managed Service Providers, System Integrators, ISVs, …). - Facilitate alignment between Sales leadership and key internal stakeholders (Partnerships, Product, Finance, Marketing, etc.). - Serve as a point of escalation to resolve conflicts and drive decision velocity. - Collaborate with global teams to ensure consistency in execution across regions. PERFORMANCE AND IMPACT - Track and report on executive cadence effectiveness (QBRs, planning cycles, leadership rituals). - Monitor strategic initiative progress and execution quality. - Measure stakeholder satisfaction within the GTM leadership team. - Improve decision velocity and clarity across the organization.     ABOUT YOU - Education: Bachelor’s degree in Business, Marketing, Information Technology, or a related field. An MBA or advanced degree is preferred. - Experience: Minimum of 5 years in strategic operations, business development, GTM strategy, or consulting roles (e.g., Strategy Consultant at MBB/Tier-1/Tier-2, Business Operations, Chief of Staff, or Strategic Program Manager). - Executive Stakeholder Management: Experience working closely with C-level or senior leadership, high maturity in communication, influence and prioritization. Ability to operate with high autonomy and judgement - Scale and ambiguity mindset: Experience in fast-growing environments or high-pressure environments. Comfortable navigating ambiguity and evolving priorities - Industry Background: Experience in high-growth SaaS, AI, deeptech, or infrastructure industries. Exposure to AI, data, infrastructure, or developer-focused products is a strong plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. THE OPPORTUNITY As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap. WHAT YOU WILL DO - Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats). - Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team. - System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines. - Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system. - Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge. - Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences. WHAT WE ARE LOOKING FOR - Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain). - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred. - Core Technical Skills: Strong proficiency in Python and/or C/C++. - Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML. - Full SW lifecycle experience: Demonstrated experience in taking research into production at scale. - Technical Leadership Experience: Previous experience tech leading computer vision projects. COMPENSATION & BENEFITS The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. LOCATION & WORK MODEL This role is based in our San Francisco or Sunnyvale office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Europe; London Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE: We're looking for a Staff (L6) Product Designer to lead design for some of Synthesia's AI-native, agentic Sessions product surfaces. Sessions are the experiences where employees learn through conversation, companies lrun a survey at scale, and AI becomes a direct participant in how work gets done - not just a tool behind the scenes. This area is central to redefining what a video platform can be: moving upstream from content creation into workforce development, and making complex AI capabilities feel natural, trustworthy, and effective for everyday users. You'll operate as a senior IC: setting direction, influencing roadmap decisions, shaping bets with Product and Engineering leaders, and raising the craft bar. In practice, this role is about solving AI-native design problems, for example: - Designing real-time, conversational avatar experiences that feel engaging and natural - not robotic or gimmicky - for employees learning and practising skills at work. - Creating interaction patterns for AI-driven workflows that give users the right amount of control, transparency, and trust without overwhelming them with complexity. - Improving output quality through better structure, guidance, and feedback loops - helping users understand what the AI is doing, catch issues early, and iterate with confidence. - Working at the frontier where AI changes what "interaction" means, and the best patterns are genuinely still being invented. IN THIS ROLE YOU WILL: - Own major AI-native bets end-to-end, from problem framing to shipped outcomes and iteration. - Set a design vision for our "Sessions" surface, and influence adjacent product areas to stay coherent. - Partner closely with Product and Engineering to define what "great" looks like (principles, quality bar, success metrics) and then drive toward it. - Prototype and test interaction models quickly - including novel agentic and conversational patterns - and know when high-fidelity matters. - Raise the bar on craft: interaction design, UI quality, systems thinking, and consistency across AI-native experiences. YOU SHOULD APPLY IF YOU BRING: - Significant experience designing complex, high-usage product surfaces - ideally including AI-native products, agentic features, conversational interfaces, or products where the system takes meaningful autonomous action. - Strong craft in interaction design and visual design, and a track record of shipping work that measurably improves the product experience. - Comfort operating in ambiguity: you can turn unclear and fast-moving problem spaces into crisp direction, and you do not wait for perfect clarity. - Systems thinking: you understand how AI capabilities, model constraints, and product architecture shape what's actually possible in the UX - not just what looks good on a screen. - Excellent communication in design reviews and cross-functional decision-making contexts. - Experience designing workflows where trust, transparency, and user control are central - helping users feel confident in AI-driven outputs rather than confused or excluded. - A track record of tackling novel problems in maturing product spaces, and shaping the product from early-stage bets through to execution. - The ability to leverage feedback from users and customers to ensure the product continues to meet real needs - including enterprise users with high stakes around quality, compliance, and scale. AT SYNTHESIA WE EXPECT EVERYONE TO: - Put the Customer First - Own it & Go Direct - Be Fast & Experimental - Make the Journey Fun You can read more about this in this public Notion page: https://synthesia.notion.site/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2 BENEFITS - A flexible, remote friendly role based out of Europe or one of our hubs in London, Copenhagen, Munich, or Zurich. - 25 days of annual leave + public holidays in the country where you are based. - A generous referral scheme. - Work from home set up. - At Synthesia, you can work from anywhere (within reason) in the world for up to 60 days per year! - A huge opportunity for career growth as you’ll help shape a market-defining product.

Location: Manila, Philippines; Taguig, Philippines 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. We are looking for an Associate HR Analyst, to join the Human Resources team in Manila, supporting our APAC markets. This is an early-career position that plays a key operational role supporting our Regional HR Business Partners (HRBPs), ensuring our people processes run smoothly across multiple markets. You will work closely with the Regional HRBP, Total Rewards, Talent Acquisition (TA), People Service Delivery (PSD), and business leaders across the region, contributing to a seamless employee experience and helping turn people priorities into action. You will support key HR processes, provide insights and follow-up, and help ensure that our people practices are consistently and effectively delivered across the region in line with global guidelines. This role is designed for someone who thrives in fast-paced, ambiguous environments and is energized by problem-solving. It is a permanent, hybrid position based in Manila, with three days per week in the office. What You Will Do Hiring and Selection Support the Regional HRBP in submitting hiring requests to TA through Workday Share regular updates with the Regional HRBP on hiring status and flag any potential hiring risks or challenges Onboarding and Offboarding Coordinate and facilitate welcome meetings and inductions for new hires Ensure hiring managers take an active role in a standardized onboarding and induction template, and contribute to the onboarding process where necessary Conduct the scheduled check-in meetings with new employees and their managers; document key findings and flag risks to the Regional HRBP Track onboarding and offboarding processes: documentation, system updates, coordination with legal providers, and final payment follow-up Conduct the exit interview for voluntary resignations and analyze exit surveys to flag risks or challenges to the Regional HRBP Ensure all people movement events are processed accurately and on time in Workday HR Employee Support Act as a point of contact for complex HR queries related to employee relations, policies and procedures, performance, and compensation from employees and managers across APAC Collaborate with PSD on complex employee queries related to other HR topics such as time-off requests and balances, Workday challenges, and more Liaise with PSD on open Jira tickets and ensure timely resolution and follow-up Actively contribute to the FAQ and knowledge base for recurring questions to reduce query volume over time, in partnership with the broader HR team Engagement Plan Execution Support Support the execution of the APAC Engagement Plan (Career Path Program, Recognition Program, AI and Automation initiatives) Coordinate logistics for engagement activities: communications, scheduling, materials, and tracking Assist in collecting and organizing data for engagement surveys and post-program follow-ups HR Systems and Data Integrity (HRIS) Own the accuracy of Workday organizational structures: positions, attributes, reporting lines, and job profiles Perform regular audits to ensure all people movements (new hires, transfers, promotions, terminations) are correctly reflected in the system Cross-check open positions in Workday against workforce planning data and flag discrepancies to the Regional HRBP Coordinate with HR teams globally to resolve data inconsistencies Prepare HR reports on demand: headcount, open positions, engagement metrics, and data sanity checks Support the Regional HRBP with data preparation for leadership presentations and business reviews Maintain data hygiene across HR tracking tools (spreadsheets, Workday exports, dashboards) What We Are Looking For Background A degree in Human Resources (Human Resource Management), Labor Relations, Organizational Psychology, or a related field Experience 1 to 3 years of HR experience in dynamic, fast-moving environments (for example HR operations, HR generalist, or HRIS support) Experience with HRIS platforms (Workday experience is a strong plus, not a requirement) Exposure to multi-country HR operations is valued but not mandatory Skills Advanced English, written and spoken; most team communication is in English Google Workspace (Google Sheets, Docs, Slides): advanced level required AI tools literacy (familiarity with Claude or similar tools is a plus) Analytical mindset: comfortable working with data, spotting inconsistencies, and building clean reports What Will Set You Apart High tolerance for ambiguity: you don’t need everything to be defined to take action Dynamism: you shift context quickly and don’t lose quality when the pace picks up Comfort with uncertainty: you see change as the norm, not the exception Proactive communication: you flag issues before they become problems Discretion: you handle sensitive information with care and sound judgment Why Join Aleph Real impact across APAC: Your accuracy in Workday and your follow-through keep hiring, onboarding, and people movements running smoothly across multiple markets, and your insights help the Regional HRBP and business leaders decide what to do next. A clear path into HR business partnering: Learn the HRBP craft from the inside (employee relations, workforce planning data, leadership business reviews) with day-to-day exposure to the Director, HR Business Partners. Collaborative, supportive team culture: Work alongside Total Rewards, Talent Acquisition, and People Service Delivery colleagues in an English-speaking team that values proactive communication, discretion, and flagging issues early. Modern tools and AI-forward work: Build hands-on experience with Workday, Google Workspace, Jira, and AI tools, and help deliver AI and Automation initiatives as part of the APAC Engagement Plan. 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

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Sweden the Base compensation range for this role is SEK 686,000 - 824,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: San Francisco, CA Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an Account Executive, Federal - State & Local to drive new business and expand Figma’s presence across State & Local government agencies. As the first dedicated State & Local Account Executive at Figma, you will help define Figma’s initial go-to-market approach for State & Local government, establishing the strategies, process, and best practices that will guide future sales hires. This role requires proactive pipeline generation, strategic account management, and the ability to navigate complex State & Local buying processes. You will work closely with Design, Product, Engineering, and IT leaders to understand their priorities, demonstrate Figma’s value, and grow adoption across their organizations. This is an opportunity to help shape Figma’s State & Local sales strategy, learn from leading sellers, and build a strong network of cross-functional partners. This is a full-time role that can be held from our San Francisco hub or remotely within the Pacific US time zone. What you’ll do at Figma: Own a named book of State & Local accounts, driving acquisition, expansion, and retention to exceed quarterly and annual sales targets Build pipeline through outbound prospecting, territory planning, account mapping, partner collaboration, and public sector engagement Develop strategic account plans aligned with agency priorities, funding sources, budget cycles, and purchasing timelines Lead multi-stakeholder sales cycles, building executive sponsorship and internal champions while navigating security, accessibility, and SLED procurement requirements Partner with Solutions Engineering, Customer Success, Marketing, and channel teams to demonstrate value, advance opportunities, and drive adoption Win foundational government customers, establishing reference accounts and success stories that define Figma’s value across State & Local government Own RFP strategy and proposal execution, mobilizing internal stakeholders under tight deadlines to win competitive government bids Make accessible citizen experiences central to the value story, showing how Figma helps agencies modernize digital service delivery and better serve their communities We'd love to hear from you if you have: 8+ years of enterprise sales experience, including significant SaaS experience selling into State & Local government agencies Consistent success acquiring new accounts, expanding existing relationships, and exceeding sales targets, supported by proactive outbound prospecting and strategic territory development Experience managing complex sales cycles of six months or longer, with an understanding of SL budget cycles, procurement requirements, and reseller and channel partner ecosystems Demonstrated ability to build trust with executives, technical teams, and agency or institutional leaders, aligning solutions to organizational priorities through effective discovery, qualification, and value-selling Strong communication, negotiation, and account planning skills, with a structured sales methodology and the ability to manage competing priorities across a territory While it’s not required, it’s an added plus if you also have: Established relationships within the assigned SL territory and experience co-selling with resellers, systems integrators, or other public sector partners Understanding of public sector requirements for data privacy, accessibility, and security Demonstrated success in a changing environment or building an emerging sales motion, with certification or formal training in deal qualification and prospect discovery At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $165,000 — $190,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤹 OPERATIONS AT ALAN Behind Alan's performance lies an Operations team that is anything but back-office. At Alan, Ops is a strategic function: we define the vision, build the systems, and own the outcomes that make our insurance and healthcare products work at scale. As a Senior Ops & Product Builder, you will own some of the most critical and ambiguous challenges in the company. You will shape strategy, drive cross-functional alignment, and build solutions with lasting impact on Alan's P&L and member experience. You’ll be joining 80+ talented, committed, passionate Ops team members working globally on all our services. You’ll be among the team mates structuring this community. ⭐️ THE CHALLENGES We are looking for driven professionals and entrepreneurs with a strong operational background to disrupt the way we traditionally think about insurance or healthcare. Our goal is to delight our members everywhere as we keep on scaling and building new services in France and internationally. The job description is simple: you set the vision, make the hard calls, and own the outcome. Here are some examples of missions our team is covering that you could lead: - Saving millions through fraud detection: Building a detection capability with no playbook. Owning make-vs-buy decisions on tooling, balancing precision against member experience at scale, and managing the external surface. Partner negotiations, industry lobbying, and ecosystem-level fraud strategy. - Building a global recovery engine: Establishing a billing monitoring framework to identify gaps early on. Then building assets & partnerships to drive costs down : designing a global recovery system that adapts to local legislation to support Alan’s expansion. With millions invoiced every month and high growth, the impact on P&L is direct. - Scaling psychotherapy online sessions: Defining the operating model from scratch, making hard resourcing decisions under uncertainty, managing quality at scale, and driving international replication. Today: 80,000 sessions were delivered & 93% of users report reduced stress. - Reinventing healthcare expense payment: Challenging a key French health insurance item (Tiers Payant), owning complex supplier negotiations autonomously, and cutting the budget line by more than half while improving member satisfaction. ⭐️ IF YOU HAVE SOME OF THE FOLLOWING, YOU MAY BE A GREAT FIT ⭐️ - You have at least 10 years of professional experience in Operations management or entrepreneurship - You are fully fluent in English and Spanish or French or Dutch - You have a high level of structure and strong analytical skills (including Sql fluency for data analysis) - You independently own high-ambiguity, high-impact initiatives (typically >10M€/year business impact) - You excel at defining a clear vision and roadmap on your scope, lead product reviews, and drive make-or-buy decisions - You make hard prioritization calls with partial information and manage key external partnerships autonomously - You are a thought leader and implement innovative uses of AI and automation across crews - You are a strong mentor: you make the people around you better, and you drive significant community impact For this role we are looking to hire within the D-F https://alan.com/en/careers/a/salary-equity level range based out of France, Belgium or Spain. 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: United States; New York; San Francisco; Canada Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Our Talent Operations team runs the machinery behind hiring at ElevenLabs: the systems, workflows and data that help us hire exceptional people quickly. We’re hiring at pace, with 200+ open roles across 40+ countries, and Ashby sits at the centre of all of it. We're looking for a hands-on Ashby expert who can turn hiring priorities into clean, working setups, so recruiters and interviewers can focus on candidates rather than the tool. You’ll be the person the talent team trusts to get the system right, and to know when something is quietly going wrong. Talent Operations works from first principles. We don’t ask how hiring has always been done. We ask how to make it the best possible experience for candidates, hiring managers, recruiters and everyone involved. Automation and AI drive everything we do, because we’re scaling our talent function without scaling headcount at the same rate. The goal is to maximize the impact each person on the team can have. To start, your time will be split as ~60% Ashby build and administration, ~25% scheduling support and Talent Ops projects, and ~15% data and reporting. WHAT YOU’LL OWN - Ashby go-to: be the first point of contact for Ashby questions from recruiters, interviewers, and hiring managers. Write the how-tos so the same question doesn’t get asked twice. - Interview plans: build and customize interview plans, stages, feedback forms and scorecards. Update them as roles and processes change, keeping structure consistent so data stays comparable across teams. - Jobs and postings. End to end: take approved headcount to a live, accurate job and posting quickly. That covers hiring teams, approvals, custom fields, job boards and postings across locations. Keep every job accurate through to close and archive. - Data quality: own ATS hygiene, including stage mapping, source attribution, rejection and archive reasons, department and team structure, and stale applications. Spot problems before they show up in a report. - Process and projects: support Talent Ops on process changes, tooling rollouts and projects that help the function scale, plus interview scheduling support during busy periods (or until we roll out agentic scheduling). IN YOUR FIRST 6 MONTHS, YOU WILL: - Audit and standardize interview plans across ElevenLabs so pipeline data is comparable - Cut job setup time by templating common role types - Automate a manual workflow with AI or integration tooling - Improve interviewer capacity and assist with automating scheduling - Own 1-2 Talent Operations projects end to end REQUIREMENTS - Ashby Power User. Prior hands-on Ashby experience as an active, day-to-day user, including setting up jobs, postings, feedback forms, and interview plans. - Fast-paced Operations. Experience in recruiting operations or coordination in a fast-moving team. - Strong data hygiene instincts. Messy data bothers you, and you fix the root cause, not just the symptom. - AI native. Comfortable using AI tools to cut manual work and move faster. - Clear written communication. You can explain a system change to a hiring manager in two sentences. - Timezone: Able to work in United States timezone hours. BONUS: - Strong analytical and reporting skills. You’re confident building reports in Ashby and working with exported data in spreadsheets (pivots, lookups, basic formulas), and you can turn the numbers into a clear story about what’s working and what isn’t. - Scheduling at Scale. Interview scheduling at scale, including complex multi-timezone panels. - Project Management. Organized and able to run projects end to end with multiple stakeholders. YOU MIGHT BE A GREAT FIT IF: - You enjoy being the person who knows how the system actually works - You’d rather build a template once than do the same setup ten times - You’re comfortable moving fast without letting accuracy slip LOCATION This role is remote and can be executed globally, with a preference for United States timezones. If you prefer, you can work from our offices in New York or San Francisco. INTERVIEW PROCESS We are accepting applications through October 30, 2026. The Hiring Manager will review all applications and determine next steps. The interview process will be: - AI Interview - Meet the Hiring Manager - Case Study - Call with the Team - Final Interview #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.