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Location: United States (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. The Opportunity Grafana Labs is looking for a Sales Operations Manager to support our GTM organization by managing advanced models, improving our data structure, and strengthening our operational processes. Reporting to the Sr Director of Field Operations, this role will focus on target setting, quota creation, and reporting for our consumption based product suite. The ideal candidate is highly analytical, excels at translating complex business realities into structured models, and thrives in a fast-paced, data-heavy environment. What you'll be doing: Improve and maintain core models of our account base as it relates to consumption growth across the GTM organization. Partner with the larger Revenue Operations and Compensation team to manage monthly compensation updates and drive improvements in existing processes. Conduct deep-dive analyses on our customer product engagement to drive decisions around our product investment, GTM segmentation, and territory planning decisions. Work within Google BigQuery (SQL) to extract large datasets for reporting. Influence data orchestration between BigQuery, Google Sheets, and compensation tools to streamline calculations and execution of compensation. Manage exceptions directly with Sales. Independently execute ad-hoc reporting requests, delivering actionable insights What Makes You a Great Fit: 4+ years of experience in strategy and operations, consulting, business analytics, or compensation. Comfort working with large datasets and ambiguous problems, with the ability to distill key takeaways. Strong problem-solving skills – able to translate business challenges into structured models and insights. Excellent communication skills with executive audiences - explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis. Ability to work independently and drive analysis with minimal guidance. Expert-level Excel or Google Sheets modeling skills, including advanced formulas, pivot tables, and data visualization. Proficiency in SQL and data orchestration between BigQuery and GTM tools Experience with Salesforce reporting, dashboards, validation rules, and flows. Experience with compensation tools like Xactly, Apttus, or CaptivateIQ Bonus Points For: Previous experience in open source Experience with data visualization tools like Tableau or Looker. Grafana visualization as a plus Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $ 125,000 - $148 ,000 Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *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 | New York City, NY | Seattle, WA 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. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment Influence the future roadmap of Product teams from a data systems perspective Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building a Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables. 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: $320,000 — $405,000 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: Dubai, United Arab Emirates Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About The Team The UAE is one of our fastest-growing and most exciting markets. As Deliveroo continues to expand, we become a major revenue channel for partners across restaurant, grocery, and retail - aside from providing the best support, we are consultants that use data-driven insight and industry knowledge to help our partners grow in their industry. Our Account Management team oversees partner relationships - they are a passionate, dynamic group of team players that work well together and cross-functionally with other departments, and of course, they're fun. We are looking for a Retail Account Manager to join our UAE New Verticals Team. This is a great opportunity to become a critical member of one of the fastest-growing divisions at Deliveroo and drive impact across our most exciting vertical. 'Deliveroo Shopping' (Retail) covers a wide range of categories from gifts, electronics, beauty, and stationery to pet accessories. About The Role In this role, you will manage relationships with a number of our top National and SMB Retail/Non-food partners across a small variety of categories. You will be responsible for onboarding, maintaining, and growing the partnerships as well as being the day-to-day contact between partners and Deliveroo, communicating their needs to internal teams. You will be helping new partners to launch and succeed on the platform and grow existing business on the Deliveroo platform, developing the ‘best-in-class’ value proposition for our customers within a new and exciting area of our business. What You’ll Be Doing Here’s what your day-to-day might look like: Manage the relationship with our top Retail/Non-food partners, becoming the expert in this space as we scale Driving partner performance by owning your portfolio’s business growth through proactive reporting, weekly/monthly/quarterly meetings and reviews, analysis, improvement projects, and identifying growth opportunities. You will work with both internal and external stakeholders to drive change and devise solutions to ensure issues are addressed, and your accounts continue to grow. Managing marketing and promotional planning for our Retail/Non-Food partners as they scale on the platform. Ensuring that we are developing an ongoing attractive value proposition for customers, including selection, promotions, pricing, and service levels. Working closely with compliance, legal, and operations to ensure best practices Owning the execution of site roll-outs as we scale the proposition, mapping our gaps in coverage for partner expansion Representing Deliveroo across your partner’s organisation, and ensuring that our internal stakeholders are supporting where appropriate. What You'll Need To Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: 3-4 years of experience in an account management, business development/new business, or commercial role. Experience in working within the Retail and/or Pharmacy industry is required Experienced negotiator with the ability to drive mutual value for both partners and Deliveroo Partner obsessed, with effective relationship building, organisation, and communication skills, whether face to face, through video, phone, or email. Confident working with and analysing data - able to cut through the noise to understand what performance improvements will help grow your Retail partners, in order to make clear and actionable recommendations. Able to create ideas and strategies to drive the growth of our joint business with our partners, with a willingness to trial at pace. Collaborative team player who is able to get the best out of the people around you. Able to work effectively with all levels of Deliveroo. Experience working in a dynamic, high-growth company is preferable Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders, and more, brought together by a shared drive to make things better. Working here, you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Singapore 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 You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications Have 5+ years of relevant experience Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware. RESPONSIBILITIES: - Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data. - Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions. - Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for accuracy, power, memory, compute, and latency. - Partner closely with Firmware and Hardware teams to integrate algorithms into production firmware, validate execution on target hardware, and resolve differences between prototype and embedded performance. - Define performance metrics and rigorous validation plans, combining offline evaluation, lab-based experiments, real-world data analysis, and on-device testing to assess algorithm accuracy, reliability, and efficiency. - Collaborate with Data Science, Software, Product, and domain experts to translate research findings into production-ready capabilities, investigate post-deployment performance gaps, and drive continuous algorithm improvement. QUALIFICATIONS: - 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus. - Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware. - Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. - Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and data science partners. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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 We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business Represent ANZ priorities to regional and global leadership, and keep local execution aligned with global strategy Act as an executive sponsor for key customers and communicate Anthropic's trust and safety principles with credibility Minimum qualifications 15+ years of overall experience selling technology products to enterprise organisations across ANZ market 5+ years of people management experience leading sales teams in the digital native and/or startup segment Proven success in consumption-based technology sales, such as cloud, API or usage-based SaaS Experience building a business or team from the ground up in Australia and/or New Zealand Track record across both customer acquisition and account growth Strong network and credibility in the ANZ startup and digital native ecosystem Ability to explain technical products clearly to founders, engineers and executives Preferred qualifications Background at Google, AWS or a similar cloud or SaaS company Experience selling AI, machine learning or developer-focused products Experience co-selling with cloud partners and working with channel Experience hiring and scaling a team through rapid growth Familiarity with the ANZ regulatory and data-privacy landscape 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: 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. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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: $405,000 — $485,000 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: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Learning Design and Enablement Manager will join the Enterprise Learning & Development team within the People organization to build applied learning experiences that strengthen leadership, professional, and Artificial Intelligence (AI) capabilities. You’ll translate business needs into practical, scenario-based learning that supports lasting behavior change, scalable enablement, and measurable business impact. Reporting to the Manager of Enterprise Learning & Development, this role is remote in the United States and Canada and will help build the capabilities 1Password needs to deliver on its mission. How we’re using AI today On the People team, we’re using AI intentionally and responsibly as part of how our work gets done. We’re building a shared foundation of AI confidence and capability with the belief that innovation happens best when we learn and experiment together. From drafting communications and synthesizing feedback to automating workflows across the employee lifecycle, we’re embedding AI into our day-to-day operations and the way we collaborate cross-functionally, helping us move quickly and create space for the human moments that matter most. This is a remote opportunity within Canada and the US. What we're looking for: • 7+ years of experience in instructional design, learning design, or a related learning and development role, with experience translating capability needs into practical learning solutions. • Experience designing scenario-based learning grounded in real business workflows and focused on behavior change rather than one-time knowledge transfer. • Ability to identify patterns across stakeholder needs and create reusable frameworks, content, and learning experiences that can scale across teams. • Experience embedding measurement and evaluation into learning solutions, along with the ability to connect learning outcomes to business impact. • Working knowledge of instructional design methods such as Analysis, Design, Development, Implementation, and Evaluation (ADDIE), Design Thinking, backward design, or comparable approaches. • Strong project management, facilitation, communication, and independent decision-making skills, with the ability to turn ambiguous needs into clear solutions and manage multiple priorities. • Experience building workplace AI capability, designing leadership programs across multiple leadership levels, or using emerging learning technologies and AI-enabled tools. What you can expect: • Design and develop applied learning solutions based on identified capability needs, using real business scenarios and workflows. • Partner with functional enablement leads, subject matter experts, and cross-functional stakeholders to integrate learning into existing programs and team practices. • Lead the design and development of leadership capability programs for front-line, mid-level, and senior leaders, facilitating selected sessions as needed. • Create learning experiences that help people use AI thoughtfully and effectively, with an emphasis on judgment, critical thinking, responsible application, and evaluating outcomes. • Develop reusable frameworks, practices, measurement approaches, and resources that strengthen learning delivery and effectiveness across the organization. • Build evaluation into each solution, use learner and stakeholder feedback to improve programs, and maintain learning materials so they remain current and relevant. USA-based roles only: The annual base salary for this role is between $119,000 USD and $173,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $106,000 CAD and $154,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote, Massachusetts, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking to hire a Sales Director to join the Revenue Team in Boston, MA. This person will be responsible for building out our enterprise customer base. The ideal person will be a proactive and curious member of our growing Sales team, identifying new business with prospects and growth opportunities for clients. A certain level of foresight and knowledge working with intrinsic sales cycles will take this individual confidently into the future of dbt Labs. What You'll Do Own the full sales cycle from lead to ongoing utilization for enterprise prospects Organize POC implementations of dbt Cloud Enterprise Win 20 new dbt Cloud Enterprise customers per year (after ramp) Lead and contribute to team projects that develop our sales process Work with product to build and maintain the dbt Cloud enterprise roadmap Become an expert in SQL, dbt, and enterprise data operations Be an active member of the dbt open source community Skills We’re Looking For 6+ years closing experience in technology sales, with 2+ years of experience in enterprise sales. Ability to understand complex technical concepts and develop them into a consultative sale Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization (individual developer up to CTO) The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams Ability to operate in an ambiguous and fast-paced work environment A passion for being an inclusive teammate and involved member of the community Experience with SQL or willingness to learn Bonus Skills​ Prior experience in analytics, ETL, BI, and/or open-sourced software Knowledge of or prior experience with dbt The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $142,486 — $178,107.75 USD OTE (On Target Earning) $284,972 — $356,215.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Zürich, CH 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 Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly Review incident response metrics and procedures, and drive improvements Work across security and engineering teams Take part in an on-call rotation Minimum qualifications Experience handling security incidents and investigating anomalies as part of a team Working knowledge of EDR, SIEM, SOAR, or similar security tooling A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Proficiency with a scripting language such as Python and query languages such as SQL Strong communication and collaboration skills Able to lead projects with little guidance Able to pick up new languages and technologies quickly Preferred qualifications 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience Security operations or investigations involving large-scale Kubernetes environments Experience analyzing attack behavior and prototyping high-quality detections Experience with threat intelligence, malware analysis, infrastructure as code, or forensics Experience contributing to a high-growth startup environment 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: Beijing Workplace: OnSite ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is Beijing based. TEAM You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising Midcore game in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become. ROLE As a Product Manager for one of our Midcore Studio, you will be at the heart of the game's evolution. You will work closely with a multidisciplinary team of engineers, artists, and product experts to design, test, and refine features that keep our players engaged and entertained. - Develop and iterate on game mechanics and features that enhance the core gameplay loop - Analyze player behavior, game metrics, and feedback to identify opportunities for improvement - Collaborate with engineers and artists to bring level designs and features to life - Structure, run, and monitor A/B tests to validate design decisions and optimize player experience - Balance game difficulty curves to ensure appropriate challenge and retention across all levels - Stay up-to-date with the hybrid-casual and midcore game market, analyzing competitor games and emerging trends - Contribute to the product roadmap and strategic direction - Work iteratively, rapidly prototyping ideas and incorporating feedback from the team and data PROFILE - 4+ years of professional experience in game design, product specialist, product Manager, or similar role in the mobile gaming industry - Strong passion for mobile midcore and hybrid-casual games, with a deep understanding of what makes them engaging and successful - Analytical mindset with the ability to interpret data, identify trends, and make data-driven design decisions - Understanding of player psychology and what drives engagement, retention, and satisfaction in midcore games - Strong communication skills and ability to clearly articulate design ideas to cross-functional teams - Iterative mindset with the ability to rapidly test, learn, and improve designs based on feedback - Fluent in English - Bonus: Experience with Unity or game development tools, knowledge of A/B testing methodologies, experience shipping successful mobile games - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work BENEFITS: - Competitive salary - Benefits according to the country you reside in

Location: Remote - Europe Workplace: Remote P2P.org http://P2P.org is the largest institutional staking provider with a TVL of over $10B and a market share exceeding 20% in restaking. We are continually focused on researching and improving our infrastructure to extract maximum APR while enhancing security. For instance, in ETH and SOL, our NRR is on average 10% higher than the market, and in DOT, it's 20% higher. We also place significant focus and resources on launching new networks such as TON, Avail, Monad, Babylon, Story, Berachain, and others, along with yield products. From restaking, where we are the largest operator with a 20+% market share, to yield aggregators on stablecoins. Our clients include BitGo, Copper, Crypto.com http://Crypto.com, Ledger, ByBit, Bitget, OKX, HTX, Bitvavo, SBI, and others, who choose us for our client-centric approach and extensive product line from unified API to widgets and custom dApps. We are also actively expanding our product line, exploring RWA, data, yield, and service products for banks, exchanges, custodians, and wallets. P2P.org http://P2P.org unites talented individuals globally. Despite our distributed team, we share a passion for decentralized finance - a fairer system for all. We code, learn, create, and connect to shape finance's future. P2P.org http://P2P.org boasts a strong reputation and network. We prioritize customer satisfaction and, as tech enthusiasts, develop innovative solutions that bolster our brand. RESPONSIBILITIES - Turn marketing priorities into plans with clear budgets, timelines and success metrics. - Own execution and personally run campaigns in your strongest channels, using LLMs and automation. - Manage contractors and internal contributors: set priorities, write briefs, review work and address underperformance. - Coordinate with Product and Sales to clarify requirements and resolve blockers. - Track spend, lead quality and pipeline contribution. Recommend what to improve, scale or stop. - Identify where specialist contractors are needed and manage their delivery. REQUIREMENTS - Strong execution skills in at least one marketing channel, with verifiable examples of campaigns you personally ran and results you achieved. We welcome different channel specializations. - At least 4 years of substantive marketing experience, including independently owning B2B marketing initiatives. Be ready to explain your contribution, decisions and measurable results. - Strong communication and stakeholder management skills, including influencing without formal authority and challenging requests constructively. - Experience managing contractors or agencies and leading people or small teams. - Solid marketing fundamentals: tracking, segmentation, positioning, messaging, channel selection and conversion funnels. - Practical analytical skills: interpreting campaign and CRM data, assessing acquisition economics and understanding attribution limitations. - Regular use of LLMs in marketing work, with sound judgment when reviewing their output. - Ability to prioritize and deliver with limited supervision, learn complex products and make informed budget decisions. - Strong written and spoken English. At P2P.org http://P2P.org we have a team of experts with their own unique approach and ownership culture. Together we gain experience and make dreams come true! - Fully remote - Full-time contractor (Indefinite-term Consultancy Agreement) - Competitive salary level in $ (we can also pay in crypto) - Paid vacation and sick leave - Well-being program - Mental Health care program - Compensation for education, including foreign language & professional growth courses - Equipment & co-working reimbursement program - Overseas conferences, community immersion P2P.org http://P2P.org is committed to providing equal opportunities. All applicants will be considered without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, veteran status, or disability.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We're looking for an entrepreneurial, strategic and data-driven Senior Product Marketing Manager to help Flo bring its newest features to our 70 million users. Reporting to the Director of Product Marketing and working closely with the Product and Marketing teams, you'll bring new products and features to the people who need them, from positioning and launch through to growth If you thrive in fast-paced environments, can pivot quickly between projects, and are always ready to roll up your sleeves to make things happen, this is a rare opportunity to shape how product marketing works at one of the world's leading health apps. You’ll help define the ways of working, standards and tools that make product marketing central to how Flo builds and grows. This role is a good fit if you enjoy building something from the start, aligning stakeholders from all functions behind a common goal, and working on products that make a real difference to women's health. Your Experience Must have: 6+ years in Product Marketing for consumer digital products, ideally mobile apps or subscription businesses. Proven track record taking products from concept to marketing, working closely with stakeholders throughout the development process. A track record of testing messaging with data, such as user research, A/B tests or creative tests, and acting on what you learn. The confidence to influence senior product and marketing leaders, and to back your recommendations with evidence. Clear, structured writing: you can set out a strategy that a whole team can act on. Comfort with ambiguity and building new products and processes from scratch. Experience working with Product teams from discovery onward: shaping requirements, pricing and packaging, or in-product experiences like onboarding and paywalls. Nice to have: Experience marketing to US consumers. Experience in healthcare, digital health or another regulated industry. A background in, or strong interest in, women's health. What you'll be doing You'll be responsible for: Own the go-to-market strategy for top priority products, and lead the plan through launch and beyond. Define positioning and messaging: who the product is for, why it matters to them, and how we talk about it. Test your thinking in data-driven ways through user research and in-market experiments. Shape the product from the start. You'll bring customer, market and competitor insight into product decisions, and help set the bar for when a product is ready to launch publicly. Plan and lead launches with Product, Marketing, Legal, Medical, and other stakeholders. Brief and partner with all Marketing teams, including paid acquisition, creative, lifecycle and CRM, brand, social and ASO, so every channel tells the same clear story. Make messaging clear, credible and compliant. You'll work with our Medical and Legal experts to communicate health products responsibly. Measure what works. You'll own adoption and launch metrics for your products, work with analysts on results, and keep improving. Help build the function. You'll shape the templates and ways of working that make product marketing effective across Flo. Annual Salary Range (range may vary based on skills and experience) From £88,000 #LI-Hybrid #LI-AJ1 How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: IN - Jaipur About the role The Technical Lead – Quality Assurance is a senior technical leader responsible for driving end-to-end quality strategy, governance, and execution across assigned products or programs. This role combines deep hands-on expertise with leadership capabilities to ensure high-quality software delivery, strong automation adoption, and alignment with business and customer expectations. Operating across the Software Development Life Cycle (SDLC), the QA Technical Lead partners closely with Product, Engineering, and Client Delivery teams to define testing strategies, improve efficiency, and ensure robust validation of complex business workflows. The role plays a critical part in strengthening quality practices, reducing risk, and enabling predictable, high-quality releases. This position also focuses on building team capability, mentoring QA engineers, and driving innovation through automation, AI-driven testing, and continuous improvement initiatives. Deliverables and Performance Measures Define and execute end-to-end QA strategy aligned with product, business, and customer requirements Lead test planning, execution, regression cycles, and defect triage across projects and releases Ensure validation of complex, end-to-end business workflows including underwriting, policy servicing, and rule-based calculations Drive risk-based testing approaches to prioritize critical functionalities and reduce production defects Establish and enforce QA standards, frameworks, and best practices across teams Monitor and analyze quality metrics such as defect leakage, test coverage, and execution efficiency Lead root cause analysis (RCA) and implement corrective actions to improve product quality Provide technical oversight for test automation across UI, API, and integration layers Drive automation-first strategy, increasing coverage and reducing manual effort Integrate QA processes with CI/CD pipelines to enable faster and more reliable release cycles Collaborate with Engineering, DevOps, and Product teams to ensure environment readiness, data setup, and release validation Act as a subject matter expert (SME) for system architecture, integrations, and configuration-driven implementations Present quality metrics, release readiness status, and risk assessments to stakeholders Mentor and develop QA team members, improving technical and domain capabilities Foster cross-functional collaboration to ensure alignment between QA, Development, Product, and Client Delivery Drive adoption of AI-driven testing practices, including intelligent automation and efficient regression strategies What Will Make You Successful 5-8 years of experience in Quality Assurance / Quality Engineering roles Strong experience in leading QA teams and managing end-to-end quality delivery Deep expertise in QA methodologies, test strategy, and automation frameworks Strong domain knowledge in Life Insurance and Annuities Experience with tools such as Selenium, Katalon, Jira, TestRail, Jenkins, and API testing tools Hands-on experience integrating QA with CI/CD pipelines and DevOps practices Strong understanding of system architecture, integrations, and complex workflows Experience in risk-based testing, defect management, and root cause analysis Proven ability to analyze quality metrics and drive continuous improvement initiatives Strong problem-solving and decision-making skills with attention to detail Excellent communication and stakeholder management skills Demonstrated ability to mentor and develop high-performing QA teams Experience leveraging AI tools for testing, automation, and productivity improvements is a plus High ownership mindset with the ability to operate in a fast-paced, delivery-driven environment Where We See This Role Going: We are committed to being a driving force in the innovation of the insurance market and that means that we help our employees stay on top of current trends and technologies, and progress within our company. This position can move into the following roles. Manager, Quality Assurance Senior Manager, Quality Assurance We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Dublin, IE 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 Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that bring our work to customers. We’re looking for a Recruiter, GTM to join our Talent team in Dublin and own full-cycle recruiting across our Go-To-Market organization, with a particular focus on Applied AI. This is a full-cycle individual-contributor role. You’ll partner with Applied AI and GTM leaders to define what great looks like, build pipelines in markets where these roles are still new, and close candidates who have competing offers. Some of the roles you’ll run won’t have an established market benchmark, so you’ll help build the playbook as well as follow it. Priorities shift quickly, and you’ll have real ownership of the searches you run. Key responsibilities Own full-cycle recruiting for Applied AI and broader GTM roles across EMEA, with a focus on London, Paris and Munich, from intake through offer and close Run intake sessions that scope the role, calibrate the bar, and challenge hiring managers where expectations don’t match the market Screen candidates against the JD with enough technical judgment to separate strong from merely well-presented Source and engage active and passive candidates, building diverse and competitive pipelines in markets where talent is scarce Run structured, rigorous and candidate-centric interview processes that uphold Anthropic’s hiring bar Work with the broader Talent team, People Partners and Compensation to structure offers and guide candidates to close Own pipeline health, tracking conversion, calibration and time-in-stage, and use the data to give hiring managers clear recommendations Help build and document the Applied AI and GTM hiring playbooks as the team scales Minimum qualifications 4+ years of full-cycle recruiting experience, with a track record of closing strong candidates in competitive markets Demonstrated experience recruiting GTM or customer-facing roles in the UK and European markets, with working knowledge of local talent dynamics, compensation norms and employment practices Strong stakeholder partnership: you build trust quickly with senior hiring managers in fast-moving environments Willingness and ability to build technical depth quickly enough to run credible intake sessions and screens for Applied AI roles Proven ability to maintain quality under volume pressure and manage multiple searches at once Comfort with ambiguity and with building something new rather than running an established playbook Self-starter who works autonomously while staying aligned with global hiring strategy Genuine interest in Anthropic’s mission and an understanding of the role recruiting plays in achieving it Preferred qualifications Experience hiring technical customer-facing talent (Solutions Architects, Forward Deployed Engineers, Sales Engineers, or Applied AI/ML-adjacent roles) at an AI, SaaS or high-growth technology company Experience recruiting across Sales, Partnerships or Marketing in addition to technical GTM roles Experience scoping roles that have no established market benchmark Experience hiring across multiple EMEA markets, including the UK, France and Germany Familiarity with Greenhouse or similar ATS platforms Additional European language skills (French or German especially) 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: €125.000 — €170.000 EUR 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: Kazakhstan Workplace: Remote 🌍 Remote | UTC+8 | Core collaboration hours: 13:00–19:00 Manila Time Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll build the interfaces and shared component library that power multiple Salmon products, with a direct hand in performance, accessibility, and reliability. What you'll do: - Work across a shared design system, theming, and localization layer used by multiple product teams - Collaborate closely with design, backend, and platform teams to ship user-facing features end-to-end - Operate in a codebase with generated API typings, CI/CD pipelines, and active error monitoring and analytics What you'll own: - Build and maintain user interfaces in React and Next.js across multiple products. - Build reusable UI components and contribute to the shared component library - Integrate frontend applications with REST and GraphQL APIs using generated typings - Optimize rendering performance and bundle size to improve user experience - Write and maintain unit and integration tests to protect product reliability - Contribute to code reviews and help evolve frontend best practices What makes you a strong fit: - Strong experience with React and TypeScript - Solid understanding of Next.js fundamentals: routing, SSR, ISR, and data fetching - Proficiency in modern state management using Redux Toolkit and RTK Query - Experience with component-driven development and design system principles - Familiarity with build tools (Webpack, Vite) and CI/CD fundamentals - Solid understanding of web performance fundamentals, with a track record of optimizing production applications and writing comprehensive tests What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Fully remote work with core collaboration hours from 13:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Georgia; European Union Workplace: Remote 🌍 Remote | UTC+8 | Core collaboration hours: 13:00–19:00 Manila Time Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll build individual Android features end-to-end in Kotlin, working closely with product, design, and backend teams to ship reliable, user-facing functionality. What you'll do: - Work within a Kotlin/Jetpack Compose codebase, shipping through GitLab with automated release trains every 3 weeks - Collaborate daily with designers, product managers, backend engineers, and QA to define and deliver features - Operate inside a modern app architecture (MVI + Clean) with dependency injection and reactive data flows What you'll own: - Develop and implement individual features from scratch with high-quality, maintainable code - Integrate RESTful APIs into the Android app using OkHttp - Conduct code reviews, give feedback, and refactor code to uphold quality standards - Troubleshoot and resolve issues surfaced by users or through testing - Partner with QA to ensure proper test coverage and release quality What makes you a strong fit: - 4+ years of Android development experience with Kotlin - Strong knowledge of Android SDK and Jetpack Compose - Experience with modern app architecture (MVI + Clean principles) and dependency injection (Dagger) - Solid experience integrating RESTful APIs (OkHttp) and working with coroutines and Kotlin Flow - Practical experience writing Unit/Integration tests (Mockito, JUnit) - Comfortable with Git-based workflows and structured release cycles (GitLab, release trains) What we offer: Ownership and flexibility - Fully remote work with core collaboration hours from 13:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Moldova Company Background Our client is a market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and delivers measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare. Project Description The project focuses on deployment, automation, and infrastructure operations for the client’s hosted contact center automation platform. The DevOps Deployment Engineer will work with technically complex environments, supporting application installations, upgrades, releases, hot fixes, and service packs across development, testing, and production. The role involves close collaboration with DevSecOps, development, QA, and operations teams to improve deployment processes, maintain CI/CD pipelines, support infrastructure automation, and ensure reliable monitoring, alerting, and logging for production environments. Technologies AWS Docker, Kubernetes Terraform Ansible Jenkins Gerrit, Bitbucket Linux / Windows Python / Shell / PowerShell Grafana / ELK What You'll Do Collaborate with the DevSecOps team to build, automate, and support deployment pipelines and IaC solutions; Help plan and coordinate product releases, hot fixes, and service packs across development, test, and production environments; Improve deployment processes and tools to make releases faster, more reliable, and easier to scale; Support the implementation and maintenance of monitoring, alerting, and logging solutions to help ensure system health and performance; Work closely with development, QA, and operations teams to investigate and resolve deployment issues; Create and maintain clear deployment documentation, runbooks, and best-practice guides to support consistent delivery and knowledge sharing; Keep up with DevOps, cloud infrastructure, and automation trends, and bring practical ideas to the team; Follow company’s policies and procedures in all aspects of the role; Job Requirements 1+ years of experience in DevOps or a similar role, ideally with focus to deployment automation and infrastructure management; Experience writing scripts or automations using Python, Shell, PowerShell, or similar languages; Hands-on experience with container technologies such as Docker and orchestration platforms such as Kubernetes; Familiarity with one or more cloud platforms, including AWS, Azure, or Google Cloud Platform, preferably AWS; Working knowledge of configuration management tools such as Ansible, Puppet, or Chef; Understanding of CI/CD principles and experience with tools such as Jenkins, GitLab CI/CD, CircleCI, or similar platforms; Strong problem-solving skills and the ability to troubleshoot issues in distributed environments; Clear communication and collaboration skills, with the ability to work effectively in a team-oriented environment; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.