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Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You’ll collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Qualifications: - Significant experience developing high-performance audio or machine learning inference systems. - Proficiency with programming languages such as C++ and Python. - Hands-on experience with deep learning models for audio, speech, or language applications. - A bias for action and a strong results-oriented mindset. It is a big plus if you also have considerable experience with: - GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs - Have experience with duplex real-time streaming architectures. - Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries). - Have experience with inference framework like vLLM, SGLang, Tensort-LLM, or custom distributed inference systems - Sequence modeling (e.g., transformers for audio/speech) and end-to-end audio pipeline optimization Working location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including: - model architecture and MoE routing optimization - decoding and inference-time algorithm improvements - software/hardware co-design for GPU acceleration - performance optimization without compromising model quality Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Key Responsibilities: As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production. Qualifications: - Have a PhD in Machine Learning or a related field - Understand LLM architecture, and how to optimize LLM inference given resource constraints - Have significant experience with one or more techniques that enhance model efficiency - Strong software engineering skills - An appetite to work in a fast-paced high-ambiguity start-up environment - Publications at top-tier conferences and venues (ICLR, ACL, NeurIPS) - Passion to mentor others Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Job Responsibilities: As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Qualifications: - 5+ years of experience writing high-performance, production-quality code - Strong programming skills in C++ or Python (Rust/Go also welcome) - Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) - Ability to diagnose and resolve performance bottlenecks across the model execution stack - A strong bias for action — you ship fast, measure impact, and iterate It’s a big plus if you have experience with: - GPU programming, CUDA, or low-level systems optimization - Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) - Scaling performance-critical distributed systems (e.g., computation, search, storage) Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 — $560,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Home based - Worldwide 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. We are hiring junior engineers to work across the breadth of our Ubuntu Engineering organisation -  engineers who care deeply for quality, performance and resilience in software, engineers who are just as comfortable designing and engineering new software as they are packaging, integrating, testing and shipping the incredible catalog of open source software provided by the Ubuntu repositories. Our engineers integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments. The four key teams that ship Ubuntu are Foundations : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities Server: leading the design, evolution and future of our Ubuntu Server distribution Desktop: driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter Debcrafters: a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today Bring your existing expertise and learn new skills by working on one of the most prolific pieces of open source software. As an engineer working on Ubuntu you could work on any or all of the following categories: Development : design, build and ship new foundational systems software and applications in Rust, Go, Flutter, and Python Architecture : engineer the integration of open source from boot firmware to cloud applications deployment Packaging : a combination of Debian and Snap packaging to ship software in the distribution Automation : build and maintain the machinery responsible for building, testing and shipping Ubuntu Distro Engineering : the maintenance and evolution of a Linux distribution and its repositories If you have skills in those areas, or you have other skills you believe could contribute to Ubuntu, and you're keen to get started building your career in open source, then this is the role for you. Our junior career path caters for both new graduates and early careers engineers. At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies. Location : We have remote roles open in every time zone. The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are: Designing, building and shipping software in Rust, Go, Python and C/C++ Packaging, integrating, testing and uploading open source software to the Ubuntu repositories Debugging issues, then designing and delivering robust solutions Authoring and improving technical and community documentation Contributing to upstream and neighboring open source projects Collaborating as part of a globally distributed team Continuously learning and progressing their technical and professional skills What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Drive and a track record of going above and beyond expectations A passion for open source software Experience with Rust, Go, Python, Flutter or C/C++ Professional written and spoken English Excellent communication and interpersonal skills Ability to travel twice a year, for company events up to two weeks each Nice-to-have skills Familiarity with Linux distributions Familiarity with system debugging tools and techniques Familiarity with automation tooling and CI/CD systems Experience contributing to open source projects 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 recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. 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 Team Member Assistance Program & Wellness Platform 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 on a daily basis. 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. Canonical has been a remote-first company 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.

Location: Jackson, United States As Production Shift Manager you will have full accountability and oversight of the shift manufacturing operation. You will be direct supervisor of all shift production associates with dotted line supervisory responsibilities for QC and Maintenance team members on shift. Your mission will be to lead your team to success by meeting the business objectives while ensuring every team member finds fulfillment in their contribution to the success of our organization. This entails ownership of the shift performance. There are two components to this position: Operational – Supervision of daily tasks and activities. Tactical – Development of action plans and project leadership. You will have an active role in creating the road map to success by contributing to the development of strategies to support our goals. Safety is our number 1 priority. The Production Shift Manager will be a safety advocate and ensure that all plant activities and tasks are conducted in a manner that is in compliance with all safety policies and protocols. You will see that all day to day activities and processes are carried out in compliance with our policies and procedures so daily objectives and expectations are met. Clearly define and approve the duties and responsibilities of all personnel. Ensure that all equipment is properly maintained and safe to operate. Maintain the required staffing level to meet production requirements. Ensure production schedule meets customer requirements. Ensure that all personnel’ s training is current. Ensure that housekeeping is in compliance with our standards. You will be given the opportunity to make a difference by leading continuous improvement projects in the areas of safety, quality, efficiency, lean manufacturing, process engineering and people development. What you will bring: Strong leadership abilities. Sense of urgency. Winning mindset. Passion to drive excellence. Decisiveness Motivation to make a difference. Ability to create an environment in which team members feel valued, heard, trusted and empowered. Desire to foster learning and development to enable team members to reach their potential. Education and Work Experience Requirements: Bachelor’s degree or equivalent experience. A minimum of 5 years of experience in a manufacturing environment . A minimum of 3 years in a leadership role. Must have strong problem solving/analytical skills. Experience with continuous improvement tools (lean, 5S, six sigma, SPC, RCA, PDCA) strongly desired. Must have strong computer skills.

Location: Delhi, India; Bangalore, India; Ahmedabad, India; Pondicherry, India; Cebu City, Philippines; Davao City, Philippines; Makati, Philippines; Iloilo City, Philippines; Manila, Philippines; Taguig, Philippines; Quezon City, Philippines; Mirpur, Bangladesh; Bangkok, Thailand Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Oracle ERP/Fusion Technical to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Experience: Minimum 5 years in Oracle Applications and Oracle Fusion. Technical Skills: Oracle ERP Database tables, Fusion Analytics Tables (FAW), Oracle Fusion Tables (BIVO) Oracle Finance, HRMS, SCM, and Payroll modules Oracle Business Intelligence Cloud Connector Database Functions, Procedures, Views, and Materialized Views Advanced SQL calculations (Oracle SQL) Fusion Web Services Fusion Bursting Reports and Fusion Dashboards Fusion Page Composer Fusion Integration with UCM Additional Skills: Prototyping, designing, and requirement analysis Design methodology and project documentation Business requirement understanding and data model development Power BI experience (added value) Familiarity with secondary tools like Microsoft Azure, SQL Data Warehouse, Visual Studio , etc.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world, providing high-touch support to the businesses building on Claude. You’ll take the cases that need more than a help article: understanding how a customer has built on our platform (their integrations, their authentication and identity setup, their use of the models) and then investigating, diagnosing, and resolving their most complex technical needs. You’ll partner with engineers to get to the bottom of things, and with account teams to keep the customer’s trust while you do. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, turning what you learn from each case into documentation, tooling, and product feedback so the whole team gets sharper. This is a role for someone who wants their technical depth to matter to real businesses, and who cares as much about how we systematically support customers at scale as about the case in front of them. Responsibilities Provide high-touch support to our most strategic customers, communicating clearly and empathetically with a wide range of user personas, context-switching between guiding an executive through an incident and providing critical product knowledge to an admin in need of help within the same hour Serve as an escalation point for our most complex technical issues: reproducing customer issues, utilizing logs and traces, and providing solutions alongside engineers Troubleshoot SSO, SAML, and OAuth authentication flows, and the integration surface where our products meet a customer’s infrastructure Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Manage on-call tasks for high-urgency user issues with extreme ownership Respond to user support cases with a variety of complexity, from questions from individuals to complex API debugging for large businesses Become an expert in all Anthropic products, and delight in the hunt when something doesn’t behave as expected Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates Operate in ambiguity, making informed decisions even in never-before-seen situations Prioritize critically and comfortably adapt to an ever-evolving product landscape Minimum qualifications Several years of technical product support experience at a high-growth tech company, including hands-on API debugging, ideally on a tier-two, escalated, or priority support team Experience supporting enterprise or strategic accounts: exec-level communication, escalation management, and working shoulder-to-shoulder with account and engineering teams Fluency with APIs and technical SaaS products; you read technical docs with ease and can reason about someone else’s architecture from a handful of clues Experience troubleshooting SSO, SAML, and OAuth authentication flows A demonstrated ability to thrive in fast-paced, reactive situations while hitting core support metrics (CSAT, SLA, and the like) Strong user empathy and mastery of the support case lifecycle; you read between the lines, get to the heart of the need, and resolve it fast Crisp but kind written communication and a deep care for detail Persistence and curiosity: you’re energized by tracking down a bug, and more energized by fixing it for every similar user going forward A deep sense of ownership, genuine interest in Anthropic’s products, and enthusiasm for helping build the team Preferred qualifications While not required, we're particularly excited about candidates with one or more of these specializations: Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) SQL proficiency for querying logs and investigating issues Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts Experience supporting government or public sector customers, including compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams We’re hiring across a range of experience levels to build depth in both technical capabilities and enterprise support. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $131,040 — $210,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Yerevan, Armenia Description We are seeking a highly analytical and data-driven Digital Analytics Manager to lead our digital tracking, performance measurement, and insight-generation efforts across products and regions. This role will be responsible for ensuring reliable data infrastructure, analyzing digital user journeys, evaluating marketing performance, and producing actionable insights that directly impact acquisition, engagement, and retention strategies. The ideal candidate will play a vital role in shaping a data-first marketing culture and enabling smarter decision-making across all digital touchpoints. Responsibilities Own and manage digital analytics tools such as GA4, GTM, Google Search Console, Yandex Metrica, Looker Studio, etc. Build and maintain scalable tracking infrastructure across platforms (casino, sportsbook, fast games, mobile, web) Define and implement tagging strategies, UTM structures, event tracking, and data layers in collaboration with developers Monitor and improve accuracy of user behavior tracking, conversion funnels, traffic sources, and performance attribution Analyze campaign, promotion, and tournament performance by evaluating metrics such as bet count, user count, GGR, bounce rate, CPA, LTV, retention Design and automate dashboards and reporting solutions for different department Conduct behavioral analysis to support segmentation, targeting, lifecycle optimization, and user experience improvements Collaborate with teams to support A/B tests, UX experiments, and feature adoption tracking Benchmark competitor and market data to inform marketing initiatives and product strategies Ensure full compliance with data protection regulations (GDPR/local laws) across all analytics implementations Requirements Bachelor's or master's degree in Marketing, Data Analytics, Statistics, or a related field Minimum 2–4 years of hands-on experience in digital/web analytics or marketing analytics roles Advanced proficiency with GA4, GTM, SQL, Looker Studio, BigQuery, or similar tools Experience with behavioral analytics platforms Strong understanding of marketing attribution models, funnels, cohort analysis, user segmentation, and retention metrics Experience building automated dashboards and reports for cross-functional teams Familiarity with digital marketing performance metrics (CTR, CPA, ROI, FTDs, NGR, etc.) Excellent collaboration skills with both technical (developers) and non-technical (marketers) stakeholders Knowledge of affiliate tracking, mobile attribution, or fraud detection tools is a strong plus

Location: Dubai, United Arab Emirates; Cairo, Egypt; Riyadh, Saudi Arabia; Manama, Bahrain; New Delhi, India Müller's Solutions is seeking a knowledgeable and experienced Temenos Technical Lead to join our team. In this role, you will be responsible for overseeing the technical aspects of Temenos implementations and ensuring the successful delivery of projects. You will work closely with project managers, business analysts, and developers to design, develop, and integrate Temenos solutions that meet client requirements. Your leadership will be essential in guiding the technical team and ensuring adherence to best practices. Responsibilities: • Lead the technical design and implementation of Temenos solutions, ensuring alignment with business objectives. • Collaborate with stakeholders to gather requirements and translate them into technical specifications. • Oversee the development and integration of Temenos modules to deliver a seamless banking experience. • Conduct code reviews and provide mentorship to developers, ensuring high-quality code and adherence to architectural standards. • Manage technical documentation, including system architecture, design specifications, and technical guides. • Troubleshoot technical issues and provide solutions in a timely manner. • Stay current with industry trends, best practices, and advancements in Temenos technology. Requirements Requirements: • Bachelor's degree in Computer Science, Information Technology, or a related field. • Proven experience as a Technical Lead or in a similar role, with a focus on Temenos products. • Strong understanding of Temenos functionalities, database concepts, and application development. • Proficiency in programming languages and technologies relevant to Temenos solutions. • Excellent leadership and communication skills, with the ability to work collaboratively across teams. • Strong analytical and problem-solving abilities, with a focus on delivering quality solutions. • Experience with project management methodologies and tools. Preferred qualifications: • Certifications related to Temenos technologies. • Experience with agile methodologies and cloud-based implementations. • Familiarity with financial industry standards and practices.

Location: Cairo, Egypt; New Delhi, India; Manama, Bahrain; Dubai, United Arab Emirates; Riyadh, Saudi Arabia As a Temenos Administrator at Müller’s Solutions, you will be responsible for overseeing the configuration, maintenance, and optimization of our Temenos banking software environment. Your expertise will be critical in ensuring that the application meets our diverse business needs while maintaining high performance, security, and reliability. You will collaborate with cross-functional teams to manage system enhancements, support users, and troubleshoot issues as they arise. Key Responsibilities: Manage and administer the Temenos banking system, focusing on user access, security, and configuration settings. Monitor system performance and ensure availability, conducting regular health checks and addressing any issues proactively. Collaborate with IT and business teams to implement system upgrades, patches, and enhancements. Conduct user training sessions and provide support to ensure effective utilization of the Temenos platform. Develop and maintain system documentation, including configuration guidelines and troubleshooting procedures. Troubleshoot and resolve technical issues, working closely with the support team and vendors as necessary. Stay updated with the latest Temenos releases and best practices to continuously improve system performance. Requirements Requirements: Bachelor's degree in Computer Science, Information Systems, or a related field. 3-5 years of experience in administering Temenos software or similar banking applications. Strong understanding of the Temenos architecture and its modules. Experience in system configuration, user management, and troubleshooting. Excellent analytical skills and the ability to work under pressure to resolve technical issues. Ability to communicate effectively with technical and non-technical stakeholders. Relevant certifications in Temenos or related fields are highly desirable. Preferred Qualifications: Familiarity with database management and SQL. Experience with integration tools and techniques within the banking domain. Understanding of ITIL processes and service management. Experience in project management methodologies. Proven ability to train and mentor junior staff in technical roles. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions, a forward-thinking technology consulting firm, is seeking a knowledgeable BMC Helix Process & ITSM Analyst / Workflow Engineer to join our dynamic team remotely. With a strong commitment to delivering exceptional IT service management solutions and optimizing business processes, Müller's Solutions provides organizations with the tools and expertise needed to achieve operational excellence and improved service delivery across various sectors. In this role, you will focus on analyzing, designing, and implementing workflows and processes within the BMC Helix ITSM platform. Your expertise will enhance the functionality and user experience of our IT service management tools, ensuring effective alignment with business objectives and industry best practices. Key Responsibilities: Analyze existing processes and workflows within the BMC Helix ITSM platform to identify opportunities for improvement and optimization. Design and implement efficient workflows that streamline IT service management processes, enhancing overall productivity and service quality. Collaborate with stakeholders to gather requirements and ensure that solutions align with organizational needs and objectives. Conduct training sessions and develop comprehensive documentation to support users in effectively leveraging workflow tools. Monitor and evaluate the performance of implemented workflows, making adjustments and enhancements as necessary. Stay updated with the latest industry trends, technologies, and best practices related to ITSM and workflow management. Requirements Bachelor's degree in Computer Science, Information Systems, or a related field. 3-5 years of experience in IT service management, specifically with BMC Helix or similar ITSM platforms. Strong understanding of workflow design, process mapping, and optimization techniques. Proficient in analyzing business requirements and translating them into technical specifications. Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders. Proven problem-solving skills and a proactive approach to identifying and resolving issues. Ability to work collaboratively in a remote, fast-paced, team-oriented environment. Certifications in ITIL or other ITSM methodologies are a plus.

Location: Prague, Czechia D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer’s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Our ambition is to catalyse innovation capability by supporting priority teams to develop truly customer-centred products and services. We are developing an end-to end approach that provides design, design thinking, agile and lean approaches to product development. We are looking for a Talent Acquisition Coordinator (Spanish & Italian Speaking) to support our key projects designing innovation tools, training and experiences. ! This role lasts initially until the end of May 2026 with expected extension, where only a full-time cooperation is available as form of cooperation. Key Responsibilities Create and manage offer letters in local languages Initiate and monitor employment checks including drug and medical screenings, ensuring timely completion and escalation of discrepancies Complete and maintain all relevant documentation related to background checks or offer rescinds Handle sensitive candidate data in compliance with internal policies and confidentiality standards Coordinate communication between Talent Acquisition Business Partners, Hiring Managers, and candidates to ensure smooth pre-boarding processes Support administrative activities and contribute to the overall efficiency and compliance of the Global TA Coordination team Maintain accurate records and ensure alignment with company standards and timelines Requirements Minimum 1 year of coordination or administrative experience in Human Resources or Talent Acquisition Experience in pre-boarding processes such as contract generation, global mobility, or visa coordination is an advantage Familiarity with HR systems such as Workday preferred Strong attention to detail and accuracy in documentation and reporting Excellent organizational, problem-solving, and communication skills Proficiency in Microsoft Office, with advanced Excel skills preferred Ability to work effectively in a fast-paced, evolving, and remote environment Proven ability to manage multiple stakeholders and adapt to change University degree strongly preferred Fluency in English, Italian, and Spanish Candidates must declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA? If you believe you are a good match for this role, or any other opportunities for which D-ploy is currently staffing, then we are very keen to speak with you. You can apply though a variety of channels, including our website www.d-ploy.ch or by reaching our directly to our recruitment team recruiting@d-ploy.ch.

Location: Stamford, Connecticut, United States About the Role iCapital is looking for a Client Delivery Specialist Associate to join the Data Solutions team. This role will set up and maintain the financial software applications we utilize, assist clients with issues, work on special projects, and help with ad-hoc tasks associated with building an innovative company. This role is a mix of finance and technology. Responsibilities Financial reporting and data aggregation tools: Analyze and explain portfolio performance results. Conduct account level reconciliation, including research and resolution of all breaks, cancels, and corrects. Perform analysis of private equity and hedge fund statements for input into the system Work with clients and partners to resolve data issues. Develop and strengthen client relationships: Help manage client onboarding, client account setup and training and day-to-day support and issue management. Software maintenance and setup: Perform system setup and configuration, new client setup, new financial account and asset set-up and classification. Assist in data feed management. Create custom reports based on client-specific needs. Liaise with the vendor partners for enhancements, and system and data issues. Work as part of a team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Establish operational effectiveness through the development and adoption of policies, procedures, and controls. Assess and act upon client and company needs proactively. Qualifications 3-5 years of experience in a related field Bachelor's degree from an undergraduate program Excellent customer service skills and the ability to foster and maintain effective relationships Strong understanding of financial instruments Experience with RIA/Wealth management policies, procedures, and client service Experience working with wirehouses or custodians Organized and self-motivated with the ability to prioritize tasks and meet deadlines Highly attentive to detail and accuracy while maintaining an organized approach to duties and responsibilities Comfortable with technology, software tools, and applications: Able to learn new software quickly Experience with Addepar, Black Diamond, Axys, APX, Orion, Archway, Solovis, Masttro, or similar wealth management platforms Experience with planning tools such as eMoney, MoneyGuidePro, or similar software Strong MS Excel and PowerPoint skills Basic knowledge of database concepts, and any type of programming Working knowledge of Photoshop, HTML design, and/or similar tools Knowledge of various financial products and indices, particularly: Liquid investments such as Equities, Bonds, ETFs, Mutual Funds, SMA/UMA Alternative investments Performance reporting calculations and methodologies Portfolio management and rebalancing How Family Offices, RIAs, and investment advisors work Critical thinker, that possesses strong problem-solving skills and can summarize information clearly and concisely, both written and verbal Collaborative and able to thrive in a team environment while working independently Able to learn quickly and adapt to an expanding environment Benefits The base salary range for this role is $75,000 to $85,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re building Fin's Scaled Customer Success team to reach more customers, provide consistent high-impact outcomes, and lean even harder into what makes us unique: our AI-powered products (especially Fin) and deep domain expertise. As a Scaled Customer Success Manager, you’ll be the customer’s trusted guide—helping them adopt and embed Fin's suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably. If you’re excited by working at the intersection of AI, product adoption, and operational excellence—and you want to help define how scaled CS works in practice—this is your role. What will I be doing? Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support. Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments—leveraging technology, automation, digital content, and smart touchpoints. Own implementation and onboarding conversations for your customers, ensuring they are being set up for success from Day 1. Monitor usage & health signals proactively—identifying risks, opportunities, and expansion paths; drive intervention where needed. Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion. Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training. Help define what “Scaled CS” means here: you’ll be a builder—defining processes, tools, metrics, and models for what high volume, high value looks like. What skills do I need? 3-5 years of experience in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement. Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them. Comfortable discussing technical topics such as APIs, integrations, and workflows—not an expert, but confident engaging with customers on technical questions and guiding them to resources. Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders). Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results. Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them. Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders. Bonus skills & attributes Interest in consumption or usage-based SaaS models. Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools. Experience in operations, scaling CS / onboarding / customer education / digital engagement programs. *Proof of eligibility to work in the United States is required. The OTE range for candidates within the Greater Chicago Area is $135,300 - $161,550. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Colombia; Brazil We are looking for a driven and design-minded Software Developer with experience in Java programming and a scripting language (Bash, Python, or Go), for our Rocky Linux based Fidelis cybersecurity platform and appliances. The ideal candidate has experience writing Java using Spring Boot and Hibernate/JPA, and strong SQL skills with relational databases. Fidelis Security is a growth-oriented company that provides organizations with a robust, comprehensive portfolio of products, services, and expertise to combat today's sophisticated advanced threats and prevent data breaches. Our commercial enterprise and government customers around the globe can face advanced threats with confidence within our Network Defense and Forensics Services, delivered by an elite team of security professionals with decades of hands-on experience, and our award-winning Advanced Threat Defense Products, which provide visibility and control over the entire threat lifecycle. As a Software Developer you will: Develop and enhance cybersecurity platform services: design, implement, and maintain robust backend features and system components in Java (Spring Boot + Hibernate/JPA). Build RESTful APIs and data flows; design schemas, manage migrations, and write efficient SQL for relational databases. Write and maintain automation and tooling in Bash, Python, and/or Go for builds, deployments, diagnostics, and test harnesses. Operate on Rocky Linux servers; troubleshoot across OS, networking, JVM, and database layers; daily development in IntelliJ or Eclipse. Participate in peer code reviews, knowledge sharing, and SCRUM meetings; collaborate using the Agile software development lifecycle. About 85–90% of the programming for this role is in Java and SQL; the rest is scripting (mostly Bash and Python/Go). Requirements Strong experience developing applications using Java, with a strong understanding of object-oriented programming principles (concurrency, collections). Hands-on with Spring Boot and Hibernate/JPA. Experience building RESTful APIs and writing unit/integration tests. Strong SQL and data modeling; hands-on with relational databases (e.g., MariaDB, PostgreSQL, MySQL, etc.). Knowledge of TCP/IP networking fundamentals. Comfortable working in Linux (preferably Rocky/CentOS/RHEL): shell, system services, logs, performance troubleshooting. Good scripting skills in Bash and Python (bonus: Go). Working knowledge of Git and CI/CD practices; IDEs: IntelliJ or Eclipse. BSCS or MSCS (or related technical field) with 5–6+ years of experience developing and supporting multithreaded applications in a Linux/Unix environment. Bonus Skills Linux networking tools (iptables, ipset, ebtables), routing/bridging/VLANs, and packet capture/analysis. Active Directory integration experience (AD/LDAP/Kerberos), Windows domain concepts, service accounts/GPOs. Cloud APIs: experience automating or integrating with AWS, Azure, Google Cloud, and/or OCI (SDKs/CLIs for compute, storage, networking, IAM). vSphere/ESXi for VM lifecycle management (provisioning, snapshots, virtual networking). VirtualBox experience, especially using the VBox CLI (vboxmanage) for automation. Containerization & orchestration: Docker and Kubernetes; event streaming: Kafka. Experience with Bitbucket or GitLab (repos, merge requests, CI pipelines, permissions). Cybersecurity domain experience (threat detection, hardening, threat research). Experience working on Agile software development projects.

Location: Libreville, Gabon We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaison. The Support & Implementation Engineer will be responsible for enterprise solutions implementations and support services for incidents or issues. The position will require close collaboration with other technical support and engineering teams at different levels. Responsibilities Implement and install solutions at customer's infrastructure platforms. Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers. Act positively and respond promptly to the customer’s requests/tickets. Prepare, review and ensure the accuracy of technical documentation. Conduct Preventive / Corrective Maintenance visits. Perform any other job-related duties related to work. Requirements Bachelor's Degree in Information Technology, Engineering/Science, Computer application, or any related field. At least 2 years experience in a similar field. Good command of the English language (Speaking, writing, and presentation). Good command of the Frensh language (Speaking, writing, and presentation). Willing to travel and work extra hours when needed. Experience in database engines (Oracle, MS-SQL, and PostgreSQL). Experience in operating systems (Linux and MS Windows). Developed knowledge in cloud Infrastructure Orchestration Tools (Ex. Kubernetes, HashiCorp Nomad). Working experience in application servers (Ex. Apache Tomcat, Oracle WebLogic, IBM WebSphere). Knowledge and acquired skills of DevOps techniques including (CI/CD, Helm, Ansible). Knowledge in Directory Services (AD & LDAP). Professional effective communication, verbal and written. Customer oriented mentality. Excellent personal skills. Details oriented and a team player. Initiative and self-managed. Time management and result oriented. Experience in one or more of the below is a plus: Experience in large enterprise environments with emphasis on payments, remittance solutions. Experience in Cloud Computing, Virtualization Technologies, Storage, Network Infrastructure. Implementation experience of High Availability & Disaster Recovery, Backup & Recovery Strategies. Knowledge of PKI Infrastructure and Certificate Authorities. Knowledge of database engines (MySQL and NoSQL Databases). Knowledge of server and client operating systems (Linux Distros, MS Windows). Knowledge in Object Storage management. Knowledge of Security Authentication and Authorization Solutions (HashiCorp Vault and Keycloak). Knowledge in Cloud-based Solution Infrastructure (AWS, Azure, Google Cloud, OCI, IBM).

Location: London Workplace: OnSite About Clarity We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com http://Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform What you’ll actually do 50% Build — design & ship - Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls. - Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting. - Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift. - Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. - Alerting & scoring: Severity/impact ranking, de‑noising, suppression/cool‑downs, routing, and feedback loops. 25% Architect & scale - Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. - Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. - Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. - Participate in on‑call for your area and drive root‑cause analysis with crisp follow‑ups. 15% Collaborate - Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams). - Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase - Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit - Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️ - AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). - 7–10 years building production ML/back‑end systems; 2+ years leading while coding. - Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). - Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines. - LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift). - Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. - Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points - DevOps wizardry; GPU/accelerator experience. - Multimodal pipelines (text + voice + screenshots). - Prior experience in contact center/CX analytics or novelty/anomaly systems. - Founder or founding engineer experience