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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $185,800 — $260,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Baku, Azerbaijan; Batumi, Georgia; Belgrade, Serbia; Bishkek, Kyrgyzstan; Bratislava, Slovakia; Bucuresti, Romania; Budapest, Hungary; Erevan, Armenia; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Limassol, Cyprus; Vilnius, Lithuania; Ljubljana, Slovenia; Lviv, Ukraine; Città Vittoriosa, Malta; Għaxaq, Malta; Nicosia, Cyprus; Odesa, Ukraine; Paphos, Cyprus; Pilsen, Czechia; Poland; Poznan, Poland; Praha, Czechia; Singapore; Skopje, North Macedonia; Sofia, Bulgaria; Tallinn, Estonia; Tashkent, Uzbekistan; Tbilisi, Georgia; Toshkent, Uzbekistan; Warsaw, Poland; Zagreb, Croatia; Dnipro, Ukraine Workplace: remote TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully. With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset. Join us as a PR Manager and this fully remote position, you’ll enjoy a fast-paced, ever-changing work environment. Key Responsibilities: Develop and execute PR strategies to build brand awareness and ensure messaging consistency across all channels. Plan and create social media content, primarily for LinkedIn (and other relevant platforms). Write engaging articles, press releases, speeches, and other PR materials. Coordinate and manage webinars , from planning to execution. Prepare speeches and talking points for leadership. Maintain a consistent brand voice across all marketing and communication efforts. Oversee and schedule social media posts, monitoring engagement and reporting performance. Support basic visual content creation using tools such as Canva or Figma. Collaborate with internal teams to align PR activities with business goals. Must-Have Qualifications: Strong written and verbal communication skills in English (native or near-native proficiency). Proven B2B tech PR experience. Experience in social media management (especially LinkedIn). Skilled in content planning and execution. Experience in speech preparation and messaging development. Ability to create compelling press releases and articles. Basic design skills for creating visuals and social media assets. Highly energized , proactive, and self-driven personality. Nice-to-Have Qualifications: Experience in podcast creation . Understanding of SEO and content marketing fundamentals. Experience working in international markets . Knowledge of additional social media platforms: Facebook, Instagram, TikTok. Familiarity with graphic design tools (e.g., Canva, Figma). Previous experience as a PR Manager in a recruitment agency is a strong plus. What We Offer: A collaborative, innovative, and fast-paced environment. Opportunities to take ownership of impactful projects. International exposure and the chance to shape our brand voice.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Forward Deployed Engineer on Notion’s Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale. WHAT YOU'LL ACHIEVE - Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation. - Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion. - Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. - Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization. - Work directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem. - Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments. - Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers. - Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling. - Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices. SKILLS YOU'LL NEED TO BRING - 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role. - Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts. - Hands-on experience with APIs and data integration. - Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan. - Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration. - Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively. - A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale. NICE TO HAVES - Experience working in professional services, preferably in a startup or high-growth environment. - Experience deploying AI agents autonomously in complex coding or business workflows. - Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration. - Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up. - Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling. - Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions. - Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches. - Strong track record of successful enterprise customer implementations. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $175,000 - $240,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite  A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Join our Retail Trading team and you will be working alongside a high-performing team to deliver comprehensive and timely market information to millions of retail users. You will leverage your expertise to design and build easy-to-use applications with distinguishable precision, speed, and insights. In this role, you’ll also contribute to the evolution of our architectural foundations, ensuring that our solutions remain reliable, scalable, and adaptable in a rapidly evolving market. What You’ll Be Doing Design, develop, and maintain high-quality backend systems for market analysis in a fast-paced, dynamic environment. Collaborate closely with product managers, frontend engineers, and infrastructure teams to deliver scalable and efficient solutions. Continuously improve system reliability, scalability, and maintainability through thoughtful design and engineering best practices. Actively participate in code reviews, architecture design discussions, and technical planning sessions. Contribute to team culture by sharing knowledge, writing documentation, and mentoring other engineers. What We Look For In You 10+ years of backend development experience in internet-scale environments, with strong system design and engineering capabilities. Proficient in Java, with solid computer science fundamentals and a commitment to clean, maintainable code with strong attention to code quality, with an emphasis on readability, scalability, and maintainability. Experience designing and leading the development of complex, consumer-facing systems. Background in building internet-scale growth or operations platforms (e.g., content operations, user engagement, or growth automation systems). Familiar with mainstream middleware and infrastructure components such as MySQL, Kafka, Elasticsearch, and Redis. Experienced in microservices architecture design and knowledgeable about service governance frameworks (e.g., Nacos, Sentinel, Gateway) and containerization technologies (e.g., Docker, Kubernetes). Strong understanding of multithreading, network models, and JVM memory architecture. Nice to Haves Product-minded, with the ability to assess value and prioritize from a user's perspective. Highly self-motivated, curious, and growth-oriented. Strong alignment with company values and a willingness to lead by example. A genuine interest in the cryptocurrency industry and belief in its long-term potential. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you.   WHAT YOU'LL ACHIEVE - Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy - Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers - Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff - Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running - Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion   SKILLS YOU'LL NEED TO BRING - Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels - Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response - Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations - Passion for AI/ML and understanding of API-first or consumption-based business models - High-activity mindset with the discipline to prioritize based on signal and data, not just volume - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. - Fluency in Japanese and ideally business level in English   NICE TO HAVES - Experience with Salesforce, Outreach, or similar GTM tooling - Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software - Background in a high-velocity, metric-driven outbound environment with clear pipeline targets By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: United States; Canada Workplace: Remote NOTE: This position can be remote in Canada or the United States. We are hiring talented Full Stack Software Engineers for our Control Plane team. The team focuses on great user experience, seamless, automated, and scalable cloud infrastructure deployment, and lifecycle management. We build and maintain the Cloud Console—a sophisticated web application that lets users manage organizational resources such as database services and user access, run queries through a powerful SQL IDE, explore data with interactive dashboards, and monitor system performance. If you’re excited about creating robust cloud platforms, this team could be a great fit. What will you do? - Design and deliver a scalable, highly available, resilient, and secure cloud-base infrastructure. - Collaborate with cross-functional teams to define, design, and ship application features. - Ensure the performance, quality, and responsiveness of applications and infrastructure. - Identify and correct bottlenecks and fix bugs. - Help maintain code quality, organization, and automation. - Participate in code reviews and contribute to a culture of continuous improvement. About you: - 6+ years of software engineering experience, including 3+ years in cloud computing (AWS, Azure, or GCP) or platform engineering. - Strong proficiency in Typescript, Node.js and React. - Familiarity with RESTful APIs and JSON. - Understanding of fundamental design principles for scalable applications. - Proficient understanding of code versioning tools, such as Git. - Excellent communication and collaboration skills. Preferred Qualifications: - Experience with ClickHouse - Knowledge of CI/CD pipelines - Previous experience in developing analytics or data-intensive applications Nice to Have: - Experience with Auth0, or similar integrations - Monorepo experience (Yarn workspaces, TurboRepo, Nx) - Previous work on developer tools, IDEs, or BI platforms - WebSocket/real-time features PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Bangkok, Thailand Company Overview CXM Group was established in 2015 primarily as an institutional liquidity provider. CXM is a highly regulated and fast-growing global Fintech group with multiple regulatory licenses, including FCA and Mauritius, spanning global presence with 20+ offices in London, New York, Dubai and Southeast Asia with a 250+ multinational team. Your Role: - Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions. - Coordinate with risk dept on leverage changing request, or any escalated trading issues -Communicate with TL and sales on regular basis to perform specific IB request or re-organizing network structure -Liaising with technology provider on any complex situation dispute - Cross checking with PSP on funding issues - Managing internal ticketing on any feedback or issues arise within the dept -Performing financial checks on any transaction or transfer within the system - Collecting appropriate information of any complaint on technical perspective -Performing KYC validation and responsible for opening, amending, reviewing and exiting clients according to established policies and procedures. - Contributing continuous improvement to enhance the operational efficiency and effectiveness of fraud operation processes. Requirements -A bachelor’s degree in business or related field.-A minimum of 2 years of experience in business analysis or a related field in Brokerage Backoffice. -Exceptional analytical and conceptual thinking skills. -Advanced technical skills. -Great attention to minute details, meticulously excellent to numbers and procedures. -Fundamentally analytical and conceptual thinking skills. -Experience creating detailed reports and giving presentations. -Competency in Microsoft applications including Word, Excel, and Outlook. -A track record of following through on commitments. -Excellent planning, organizational, and time management skills. -Experience in a stock-broking business, in either IT or back office operations would be a significant advantage Benefits Competitive Salary along with KPI Bonus Night Shift Allowance Growth Opportunities Collaborative Team

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re looking for experienced engineers who have shipped applied AI systems to production and want to define what the agent-native future looks like. We are building intelligence into the core of Linear, enabling the product to orchestrate coding, proactively move work forward, and power-up every software team. You’ll work closely with product and design to transform foundation models into structured, reliable workflows embedded deeply in the core of Linear. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Build AI-powered product features that feel native, fast, and delightful to use - Work with product and design to prototype and iterate on intelligent workflows and user interactions - Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more - Optimize prompts, fine-tune model behavior, and evaluate performance - Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience as teammates. - Contribute to the architecture for AI-integration infrastructure that’s reliable and privacy-aware What we're looking for - 5+ years of experience building customer-facing products at a high-quality software company - Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL) - Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product - Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right - Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution - High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped - Thrives in a remote, async-first environment with a lean, high-output team - Experience at a startup or a company with a genuinely high engineering bar Our tech This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale. - Agentic workload system utilizing temporal, operating at production scale - Proprietary websocket data sync framework built for speed and offline support - React, MobX, styled-components on the frontend - Extensive, widely used, GraphQL API and SDK - Node, Postgres, Temporal, and Redis in the backend - Hosted on Google Cloud with k8s - GitHub, Slack, Notion What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - Read Me https://linear.app/readme a story about our mission - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - Crafting quality that endures https://www.youtube.com/watch?v=pCil7YNhNCU Config keynote by our Co-founder & CEO, Karri Saarinen - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - First Round Capital: The Unsung Ingredient: Taste https://review.firstround.com/stripe-square-linear-product-taste/ - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role Overview Nebius is seeking an experienced Security Analyst - Tier 2 for its Security Operations Center (SOC). This role is a hands-on position built for depth, serving as the investigative core of the SOC, focused on evidence and grounded conclusions. This role reports to the SOC Manager, under the Detection and Response function within the CISO Office. You are welcome to work in our offices in Tel Aviv, Israel. Key Responsibilities Investigate escalated security alerts across endpoint, identity, cloud, email, and network layers. Determine scope, impact, and root cause using EDR, SIEM, and supporting telemetry. Escalate suspected incidents to the Incident Response team and complex investigations to Tier 3. Provide structured feedback to relevant stakeholders on detection or prevention quality, false-positive patterns, and coverage gaps discovered during investigations. Contribute to and refine SOC runbooks, triage guides, and investigation procedures. Review Tier 1 escalations, coach on handoff quality, and act as the analytical reference during triage. Document investigations to a standard that supports handoff, quality review, and lessons learned. Participate in the on-call rotation, acting as the investigative point of contact outside business hours. Required Qualifications: Experience Around 5-7 years of hands-on security operations experience, with proven depth in alert investigation. Experience taking investigations to a clear verdict, including confirmed incidents. Technical Expertise Strong working command of EDR platforms and SIEM-based investigation, including writing and adapting queries independently. Solid understanding of attacker techniques, with the ability to map findings to MITRE ATT&CK in analysis and reporting. Investigation capability across at least two of: endpoint, identity, cloud, email, or network domains. Windows and Linux internals at the depth required for log and artifact analysis: processes, authentication flows, and persistence mechanisms. Solid networking fundamentals: TCP/IP, DNS, HTTP/S, and the ability to interpret network telemetry. Scripting ability (Python or similar) for analysis at scale, and familiarity with SOAR platforms. Certifications such as BTL2, OSDA, or CDSA are an advantage. Leadership & Communication Intellectual honesty, clearly distinguishing important and vague data, what is known, what is assumed, and what is still unknown. Collaborative escalation habits, hands off with context and stays available to support what comes next. Structured written communication, writing investigation notes that tell the story on their own. Fluent in English, written and verbal, comfortable working with international teams and stakeholders. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: These roles are home based in the EMEA time zone. You will be expected to be located in this region. The role entails Lead the product development lifecycle, reviewing the priorities and goals for your product Collaborate with cross-functional teams such as engineering, design, marketing, and sales Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings Oversee the work of a product line, ensuring consistency in strategy and execution across different teams Facilitate collaboration and resolve conflicts within different teams and across other departments What we are looking for in you Exceptional academic results at high school and university Understanding of Linux and the wider open source software community Understanding of computer architecture, application development, datacenters, cloud or devices Passion to write about technologies and the tech landscape A strong work ethic, and personal interests aligned with the open source movement Curiosity, and the habit of continuous learning A strong sense of ownership Problem solving and the ability to innovate Outstanding communications skills in English, both verbal and written For more senior positions, product management experience in the software industry Ability to manage multiple projects or product lines while maintaining focus on key priorities Demonstrated leadership in aligning diverse teams and driving consensus around product strategies Willingness to travel internationally up to 4 times a year for company events up to two weeks long Additional skills that we value Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive) Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband Familiarity with telco networking - RAN, Core, CPE Experience in leading distributed teams across different time zones Demonstrated ability to foster collaboration and innovation in team settings What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: These roles are home based in the EMEA time zone. You will be expected to be located in this region. The role entails Lead the product development lifecycle, reviewing the priorities and goals for your product Collaborate with cross-functional teams such as engineering, design, marketing, and sales Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings Oversee the work of a product line, ensuring consistency in strategy and execution across different teams Facilitate collaboration and resolve conflicts within different teams and across other departments What we are looking for in you Exceptional academic results at high school and university Understanding of Linux and the wider open source software community Understanding of computer architecture, application development, datacenters, cloud or devices Passion to write about technologies and the tech landscape A strong work ethic, and personal interests aligned with the open source movement Curiosity, and the habit of continuous learning A strong sense of ownership Problem solving and the ability to innovate Outstanding communications skills in English, both verbal and written Ability to manage multiple projects or product lines while maintaining focus on key priorities Willingness to travel internationally up to 4 times a year for company events up to two weeks long Additional skills that we value Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive) Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband Familiarity with telco networking - RAN, Core, CPE Experience in leading distributed teams across different time zones Demonstrated ability to foster collaboration and innovation in team settings What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Moldova Project Description We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure. Technologies SQL (PostgreSQL, MySQL or similar) Python (or another scripting language) Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus What You'll Do Assist in the design, development, and maintenance of scalable data pipelines; Support data integration from various sources (databases, APIs, flat files); Help ensure data quality, consistency, and reliability; Collaborate with data analysts and data scientists to understand data requirements; Participate in code reviews and contribute to technical documentation; Monitor and troubleshoot data workflows, resolving issues as they arise; Job Requirements 1+ years of practical experience or relevant internship in a data-focused role (preferred); Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience); Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server); Familiarity with at least one programming language (preferably Python); Understanding of ETL concepts and data warehousing fundamentals; Eagerness to learn new technologies and best practices in data engineering; Strong problem-solving skills and attention to detail; Effective communication and teamwork abilities; English level: Intermediate+ or higher; 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; English courses; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Bangalore Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: With flexible, distributed-first ways of working, you'll have the support to do your best work, wherever you are. Wrike commits to its customers that their data is monitored around the clock. Our Security Operations Center delivers on that promise through a hybrid model with a 24/7 managed detection partner (Rapid7)—and our analysts are the core drivers who handle escalations, conduct deep-dive investigations, and execute immediate action. As an L2 SOC Analyst , you will play a pivotal role in our security rotation: monitoring and triaging security alerts, responding to escalations from our MDR partner, investigating incidents end-to-end, and continuously maturing our detection capabilities to protect Wrike and our customers. Your Impact: Alert Triage & Escalation: Monitor, triage, and investigate security alerts and events, including direct escalations from our 24/7 MDR partner (Rapid7). Incident Containment & Forensics: Assess risk and impact of potential incidents, conducting end-to-end investigations (log analysis, endpoint forensics, scoping) and taking swift remediation actions. On-Call Coverage: Participate in the SOC on-call rotation to guarantee round-the-clock escalation coverage. Detection Engineering & Tuning: Continuously refine and tune detection rules to minimize false positives and identify genuine threats faster. Proactive Threat Hunting: Contribute to threat hunting initiatives across endpoints, identity providers, SaaS platforms, and cloud environments. Process Improvement: Help document, refine, and optimize SOC playbooks, runbooks, incident reports, and operational escalation workflows. Your Qualifications: Experience: 2–3+ years of hands-on experience in a SOC or security monitoring environment (alert triage, incident investigation, and response). Technical Proficiency: Hands-on experience with SIEM platforms (Rapid7 InsightIDR or similar) and EDR/antimalware tooling for endpoint investigations. Core Knowledge: Strong understanding of network security fundamentals, common threat vectors, and attack frameworks (MITRE ATT&CK). Problem-Solving & Communication: Sharp logical thinking and analytical skills paired with advanced written and verbal English communication abilities. Availability: Ability and willingness to participate in an on-call rotation, including occasional nights and weekends. Standout Qualities: Hybrid Model Experience: Prior experience collaborating directly with an MDR or MSSP partner in a hybrid SOC environment. Extended Tooling Expertise: Hands-on familiarity with tools such as Splunk, Wazuh, Microsoft Defender for Endpoint, Crowdtrike, Okta, Google Workspace, AWS, or GCP. Advanced Capabilities: Previous experience in active threat hunting, detection engineering, or task automation using Python/Bash. Industry Certifications: Relevant security certifications (e.g., Security+, CySA+, GCIH, GCDA, or vendor-specific certifications). Team Dynamics: You will join a highly collaborative, vigilant, and supportive Security Operations Center team. In this role, you will work closely with internal incident responders, cross-functional IT and infrastructure teams, and directly alongside analysts from our 24/7 MDR partner (Rapid7). The team culture values transparent communication, continuous learning, and collective ownership of security outcomes. Our Work Style: We operate in a dynamic, hybrid security model utilizing modern cloud-first security tooling. Tech Stack & Tools: Rapid7 InsightIDR, EDR/XDR platforms, Okta, Google Workspace, AWS/GCP, and custom Python/Bash automation scripts. Methodologies: Framework-driven incident response aligned with MITRE ATT&CK, structured playbooks, and continuous threat-hunting cycles. What Makes Us Different: Unlike traditional SOC environments burdened by endless repetitive alerts, our hybrid model leverages an MDR partner to offload initial noise. This allows our L2 Analysts to focus on complex investigations, high-impact threat hunting, and genuine detection engineering. Benefits & Perks: 18 calendar days of paid vacation 12 days of National & Festival holidays (10 fixed, 2 flexible) Sick Leave Compensation (5 Paid Uncertified Sick Days) Menstrual Leave: Twelve (12) days per calendar year. Women employees are eligible for up to 1 day of menstrual leave per month. Parental Leave: 26 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Group Medical Insurance (Employees + Dependents) Term Life Insurance (Rs 50,00,000) Personal Accident Insurance (Rs 50,00,000) Monthly Broadband / Internet Reimbursement (INR 1500) Hybrid Working Model + Complimentary Lunch & Snacks Your recruitment buddy will be Nandini Singh , Recruiter. #LI-NS2 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Mexico Office; Sao Paolo; Brazil Office; Mexico City Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. As a Payment Methods Specialist / Senior Payment Methods Specialist, you will be central to the development, launch, and optimization of Alternative Payment Methods (APMs) across diverse global markets. This role demands a blend of deep payment expertise and strong technical understanding to ensure every integration is robust, stable, and delivers maximum value for our merchants and their customers. You will operate at the intersection of product, technology, and operations, partnering closely with Engineering to define how payment methods are designed, how they perform, and how they scale within the Unlimit ecosystem.   Core Responsibilities: End-to-End Payment Method Lifecycle Management: Lead the full lifecycle of APMs: from initial research and planning through integration, launch, continuous monitoring, and optimization. Ensure the reliability and efficiency of each payment method, aligning them with critical business and market requirements. Cultivate strong relationships with external payment partners and internal cross-functional technical teams. Product Delivery & Technical Collaboration: Contribute to the creation of detailed requirements, functional flows, and acceptance criteria for new APM integrations. Collaborate directly with Engineering to ensure integrations adhere to best practices and meet operational demands. Utilize your understanding of APIs, callbacks, and payment flow architecture to guide solution discussions and accelerate delivery. Coordinate dependencies across teams (Engineering, QA, Operations, Compliance) to achieve smooth and timely releases . Performance, Monitoring & Optimization: Analyze key performance indicators such as success rate, conversion, latency, declines, and transaction errors. Work with Engineering and Support to investigate issues and identify root causes . Proactively use monitoring tools (dashboards, logs, alerts) and data insights to detect problems and drive platform improvements . Identify opportunities to refine user journeys and reduce payment friction . Market and APM Expertise: Maintain up-to-date knowledge of global APM trends, provider capabilities, and regulatory shifts . Evaluate new payment opportunities, providing recommendations based on market fit, merchant demand, and technical complexity. Understand country-specific consumer payment behaviors and leverage these insights in product decisions. Cross-Functional Enablement: Develop clear internal documentation, flow diagrams, and guides for Engineering, Operations, Support, and Commercial teams. Partner with Sales and Marketing to articulate the value proposition of payment methods to merchants. Drive go-to-market efforts for new launches, ensuring complete organizational alignment. Compliance and Quality Assurance: Collaborate with Compliance, Legal, and Risk teams to ensure every payment method adheres to all applicable rules, regulations, and licensing requirements . Ensure solutions are operationally sound, scalable, and aligned with core platform standards. Requirements: Experience: 5+ years in payments, fintech, product delivery, or a related field (6+ years for Senior Specialist). Payment Fundamentals: Solid understanding of online payment mechanisms , including basic payment flows, settlement, notification systems, and API integrations. Engineering Partnership: Proven experience working closely with engineering teams and actively contributing to technical solution design. Analytical Skillset: A strong analytical mindset with proficiency in interpreting data, identifying trends, and using insights to make data-driven decisions. Collaboration: Highly organized, collaborative, and capable of managing multiple stakeholders and driving results across various teams. Communication: Excellent ability to communicate complex ideas, translating seamlessly between business needs and technical specifications. Adaptability: Comfortable thriving in a fast-paced, rapidly evolving technological environment. We Offer: Competitive compensation package based on experience. Comprehensive paid vacation, sick leave, and holidays. Standard Monday–Friday work week. Modern, fully-equipped office environment.A multicultural team and excellent opportunities for professional growth and learning. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. SECURITY ENGINEER Security Engineering builds the foundations that let Sierra deliver powerful AI agents while protecting customer data and trust. We partner across product and platform to make security, privacy, and safety core product capabilities and secure defaults. WHAT YOU’LL DO Our work spans several security domains. You’ll go deep where your strengths and interests are strongest, with opportunities to explore new areas alongside the team. Build the Foundations of Trust. Design and ship systems and controls that make Sierra secure by default — spanning product security, infrastructure security, enterprise security, identity, and detection and response. You’ll work across all layers of our platform to identify risk, strengthen architectures, and build durable defenses. Own Cross-Cutting Systems. Partner with product, platform, and infrastructure team to threat model designs, review code and architectures, and implement and evolve Sierra’s security primitives. You’ll make pragmatic design trade-offs between usability, performance, reliability, and security. Find and Reduce Real Risk. Identify vulnerabilities, investigate suspicious behavior, and improve detections and response workflows across applications, cloud infrastructure, identity, endpoints, and internal systems. Turn what you learn into systemic fixes and controls that prevent entire classes of issues. Automate and Scale Security Workflows. Create developer-friendly tooling to reduce risk and friction — whether through automating security checks in CI/CD, building secure paved paths, improving vulnerability discovery, or instrumenting high-signal detection and response.     WHAT YOU’LL BRING Deep Security Expertise. Strong security fundamentals and depth in at least one domain, such as product security, platform or cloud security, enterprise security, identity, detection and response, or offensive security. You can apply that expertise across unfamiliar systems and emerging threats. Product and Platform Mindset. You care about building secure, scalable systems that enable, not block, innovation. You work closely with teams across Sierra to make trade-offs clear and help them move quickly without sacrificing trust. Software Engineering and Systems Thinking. You’re comfortable reading and writing code, understanding how production systems fit together, and building pragmatic software solutions to security problems. You can reason about system design and contribute to APIs, services, and security controls, with an eye toward reliability and maintainability. Curiosity and Ownership. You take ambiguous, cross-cutting problems from first principles to production and go deep when needed: threat modeling a distributed system, tracing an authorization decision across services, or following an investigation from weak signal to root cause. You define the problem, align partners, build the solution, and own it in production.     EVEN BETTER IF… - You’ve worked across more than one of product security, infrastructure security, enterprise security, detection and response, or offensive security. - You’ve built security frameworks, platforms, or solutions that engineers and responders rely on to prevent, detect, investigate, and remediate security issues at scale. - You have exposure to AI systems or care about designing secure-by-default LLM applications and agentic systems. - You think like an attacker — you naturally ask “what could go wrong?” when reviewing designs or investigating systems. You’ve found or fixed real security issues in production. - You thrive in 0→1 environments, where foundational systems have to balance speed, reliability, and trust. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.