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Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users. What you'll actually do - Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation. - Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions. - Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces. - Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions. - Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost. - Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer deterministic application behavior without investigating model uncertainty. - You prefer prototyping without owning evaluation, recovery, and production reliability. Nice to have - Production agents, workflow engines, or developer tools. - High-throughput systems with heavy traffic, large data volumes, or many long-running jobs. - Agent context management, memory, subagents, or parallel tool calls. - Sandboxed execution and scoped authorization. - Multimodal workflows involving images, video, or audio. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.

- Review the platform and provide prioritised recommendations. - Design key screens in Figma.

Location: Dakar, Senegal Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. In West Africa, people wait for symptoms to get worse, wait months for an appointment, and depend on a health system stuck in paper and manual processes. We exist to end that wait. Founded in 2022 in Senegal, Tanel is the first digital health insurer in francophone West Africa, operating in Senegal and Côte d'Ivoire. With 30,000+ members, a network of 1,200+ health facilities and 400+ pharmacies, and revenue multiplied by 7 in 2025, Tanel has proven real product-market fit. In 2026, Alan, Europe's prevention-first health insurer (€950M+ revenue, 1M+ members in France, Belgium, Spain and Canada), acquired Tanel to accelerate its expansion in Africa. Together, we are building the reference health insurer in francophone West Africa, aiming for $200M in revenue by 2030. 🚀 WHY JOIN NOW? Care is our members' first point of contact, and today it runs on the energy of a small, committed team: about 5 people across Dakar and Abidjan, answering members, HR admins and providers on WhatsApp, phone, email and the app. What got us here will not get us to the next stage: - Scale: our member base is set to grow several times over in the next 3 years. - Expansion: after Senegal and Côte d'Ivoire, we plan to open new countries in the coming years. - Integration: we are moving Care Africa onto Alan's ways of working (KPIs, rituals, playbooks) and, in 2027, onto Alan's tools and platform. - Performance: we need to structure our KPIs: what we measure, why, and how we act on it, from response times to member satisfaction. This is a rare chance to shape a Care organization from the ground up, with the backing of a Care Ops team that has already done it in several countries (France, Belgium, Spain, Canada). ⭐ THE ROLE As Care Ops for Alan Africa, you are the most senior Care person on the ground. You do not manage the team directly: our crew lead does. You own the transformation: how the team is organized, how it grows, how it performs, and how it converges with the rest of Alan. You are part of Alan's global Care Ops team, and you bring local reality into global decisions as much as you bring global practices to Africa. Your missions include: 1/ Design and roll out the target operating model - Turn Alan's Care model into a version that works for Senegal and Côte d'Ivoire: how agents split their time between members and improvement work, opening hours, weekends, service levels we commit to. - Define the team structure for the next 3 years: roles, tiers, one team or one per country. - Set up outsourcing where it makes sense, and manage the performance of our external partners. - Build the hiring plan with the crew lead and take part in recruitment, including final-round validation. 2/ Lead the integration with Alan - Bring Alan's KPIs, rituals and playbooks to the local team, and make sure they stick through training and follow-up. - Help the crew lead grow the team and coach agents into Care Experts who own improvement projects. 3/ Own operational performance, quality and tools - Structure our KPIs and reporting: what we measure, why, and how we review it every week, including member satisfaction on WhatsApp and phone. - Diagnose root causes behind delays, backlogs and member pain points, and turn them into concrete actions. - Make sure our tools (ticketing, WhatsApp, phone) are set up and fully operational, and lead the transition to Alan's stack with Product, so local needs are built in. - Provide the inputs (volumes, hours, productivity) that feed our staffing model and budget, and challenge the outputs. 4/ Be the bridge between local and global - Represent Care Africa in Alan's Care community: share what works, raise what doesn't, contribute to global projects. - Contribute to Care's strategic plan, for Africa and at global level. ⭐ YOU WILL EXCEL IN THIS ROLE IF YOU - Have 5+ years of experience in customer service or customer experience operations, including structuring, scaling or turning around a team. - Have led change in teams or functions you did not manage, and know how to earn buy-in rather than impose a playbook. - Are data-fluent: you set and track the right KPIs, read and challenge an analysis, and use numbers to make decisions. You do not need to build forecasting models. - Are fluent in French and work comfortably in English, written and spoken. - Know the West African context and adapt your approach to the people and the market you work with. - Are structured, autonomous and at ease with ambiguity: much is still to be defined, and you will help define it. - Care deeply about access to healthcare and want to have a real impact on members' lives. Strong pluses: experience in health, insurance or assistance; managing outsourcing partners; leading a CRM or tooling migration; running WhatsApp or phone-heavy support; speaking Wolof. 🎁 WHAT WE OFFER - Permanent contract, full time, based in our Dakar office, with regular trips to Abidjan. - A central role in a fast-growing African healthtech, backed by Alan's global Care team. - Comprehensive health insurance through Alan for you and your family. - All the tools you need to do your best work. - Learning and training opportunities: a flexible policy, budgets for books and conferences. - For this role, we are hiring within the C to E level range https://alan.com/en/careers/a/salary-equity (pay scale to confirm). 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES If this role excites you but you don't tick every box, we would love to hear from you. Everyone, including people from underrepresented groups, should feel free to apply: either we succeed, or we learn.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE You'll be one of the founding data scientist on Replit's Growth team, working with Product and Engineering leadership across acquisition, activation and recommender systems, and helping shape how Replit experiments. This role is for someone who doesn't wait to be asked. You spot problems and opportunities before anyone else does, bring a strong point of view, and push it until it changes what we build. YOU WILL: - Own data science for major growth areas, partnering with PMs and engineers from problem framing and sizing through launch and readout - Make fast decisions trustworthy: we ship weekly and need a decision within days, but retention takes weeks to show up. You'll design the experiments and metrics that close that gap; for example, variance reduction (CUPED), sequential testing, and short-term proxy metrics validated against long-term retention and revenue - Help set the experimentation standards teams rely on for Replit's highest-traffic surfaces: how metrics and guardrails are defined, and the checks that catch a broken test before it misleads anyone - Use quasi-experimental designs (difference-in-differences, synthetic control, regression discontinuity) where randomization isn't feasible, such as pricing changes and regional launches - Help define the data science behind an emerging personalization and recommendations workstream: problem framing, offline and online evaluation, and measuring incremental lift - Model the economics of a freemium, usage-based product: credit consumption, conversion, and how pricing and limits change behavior - Develop user and project segmentation from behavioral and content signals (e.g., embeddings and clustering) so growth analysis reflects what people are actually building - Partner with Data Engineering on a shared metrics layer and experimentation tooling REQUIRED SKILLS AND EXPERIENCE - 6+ years in data science, with significant time on growth or experimentation for high-scale prosumer, PLG, or self-serve products - Data science experience at a fast-growing startup, where you built metrics, datasets, and experimentation practices without much existing infrastructure - Deep expertise in experimental design and statistical inference, including reaching reliable decisions when readout windows are short and the outcomes that matter are slow - Experience establishing experimentation standards or platforms adopted by multiple teams - Expert SQL and Python - A track record of analysis that changed what a team shipped, and of influencing senior Product and Engineering leaders - Heavy, practical use of AI tools to move faster in your own work PREFERRED QUALIFICATIONS - Comfortable building your own datasets in dbt; - Pricing, packaging, or monetization analysis for usage- or credit-based products - International or mobile growth experience - MS or PhD in statistics, economics, computer science, or another quantitative field BONUS POINTS - Experience with multi-armed bandits or adaptive experimentation - Familiarity with developer tools, AI products, or creator platforms This is a full-time role based in our Foster City, CA office with an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Spanish (Mexico) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Spanish (Spain) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC,  Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in English (UK) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job Reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

• Опыт в продакт-менеджменте от 5 лет, желательно в data-heavy B2B SaaS. • Опыт создания и масштабирования продуктов измерения, аналитики или performance-маркетинга.

About Peec AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. Задачи: — Take ownership of complex frontend features end-to-end - from scoping and architecture to polished, high-quality delivery — Push the boundaries of what’s possible with modern frontend technologies and build pixel-perfect, visually refined UI that matches design specs down to the smallest detail — Collaborate closely with Product, Design, and Backend teams to translate ideas into elegant, performant user interfaces, ensuring a world-class user experience — Maintain high standards for code quality, accessibility, and performance through thoughtful reviews, testing, and best practices — Contribute to evolving our frontend architecture, component library, and design system to support rapid iteration at scale Требования: — 5+ years of professional frontend engineering experience, ideally in fast-paced startup or high-growth environments — Deep expertise in TypeScript, React, and modern frontend tooling - with a proven track record of shipping high-quality user-facing products — Experience contributing to, maintaining or building a shared component library or design system — A strong portfolio or GitHub showcasing frontend development expertise — Strong CSS knowledge, professional experience with TailwindCSS and semantic HTML — Exceptional attention to visual detail and a strong eye for design - capable of translating Figma designs into flawless, pixel-perfect interfaces — Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals — Some markers of excellence, which could also be non-work related, like having a high FIDE rating — Genuinely kind, collaborative and hard-working people who make the team better through empathy and openness Технический стек: — Languages: TypeScript, CSS — Frontend: React, Tailwind CSS, Firebase/Firestore Плюсы: — Background working on AI products, complex data-heavy UIs, or real-time applications — Familiarity with technologies like Firebase/Firestore and shaping efficient frontend–backend interfaces — Strong architectural ability to design clean, scalable frontend systems — Academic background in Computer Science or a related technical field Условия: — Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups — Regular team events and off-sites — Aggressive equity compensation package — Paid Dinner & Uber home when working late — The most beautiful office space and work environment in Berlin

Location: Lima, Peru Bradken Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees and more than 100 years of experience, our ability to adapt, innovate and evolve keeps us firmly positioned as global leaders in the wear solutions market. About The Role Bradken is seeking a Metallurgist to join our Technical Engineering Solutions (TES) Team based in Lima, Peru . Reporting to the TES Team Lead - Americas , you will provide metallurgical and materials engineering support to Product Development, Engineering and Manufacturing teams across the region. This is an excellent opportunity for an early-career professional looking to further develop their technical expertise while contributing to product improvement, failure investigations and quality initiatives that support our global mining customers. You will collaborate with cross-functional teams, support manufacturing operations, and contribute to the development and performance of Bradken's industry-leading wear solutions. What You Will Do Support Product Development teams by providing metallurgical and materials engineering advice. Assist with material failure investigations and help identify root causes and improvement opportunities. Prepare technical reports and communicate findings to internal stakeholders. Support manufacturing sites with technical and quality-related queries. Participate in quality audits and product validation activities. Contribute to material testing, product improvements and continuous improvement initiatives. Maintain and share metallurgical knowledge and technical documentation across teams. Collaborate with Engineering, Manufacturing and Product Development teams on technical projects. What You Will Bring A degree in Metallurgical Engineering, Materials Engineering or a related discipline. 2-4 years of experience in metallurgy, materials engineering, manufacturing or a similar technical environment. Exposure to steel, foundry, mining, wear materials or heavy industry environments will be highly regarded. Strong analytical and problem-solving skills. Ability to write technical reports and communicate findings clearly. A collaborative approach and willingness to learn from experienced technical professionals. Experience with Non-Destructive Testing (NDT) methods such as magnetic particles, ultrasonic testing, or liquid penetrant inspection (Highly desirable - A Plus to have) What Will Help You Succeed A genuine interest in metallurgy, materials performance and continuous improvement. Curiosity and a proactive approach to solving technical problems. Strong attention to detail and a commitment to quality and safety. Ability to work effectively with cross-functional teams and build positive relationships. Adaptability and eagerness to learn in a global engineering environment. This position is based in Lima, Peru, in a hybrid work arrangement (typically 2–3 days per week on-site). Your primary office space will be located at our corporate office in Surco . Depending on operational needs, you will also have the opportunity to visit and collaborate with multidisciplinary and global teams across our world-class facilities, including our Bradken Chilca world class foundry and Bradken Lima manufacturing plant. Why Join Us? At Bradken, we are committed to creating a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking, develop innovative solutions and continuously grow their careers. You'll be part of a global organization that values teamwork, learning and making a meaningful impact for our customers. We Offer Career progression and growth opportunities 100% covered private health insurance (EPS) Annual performance bonus Life and personal accident insurance provided by Bradken Short- and long-term disability coverage provided by Bradken Paid public holidays and vacation leave Training opportunities and education reimbursement A safety-first culture Learning and development opportunities An Employee Assistance Program for you and your family (Private Psychology Service 24/7) Our Hiring Process As part of our selection process, we may invite you to complete a one-way video screening at a time that works for you. This helps us provide a fair and consistent experience when working across locations and time zones. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: Berlin Office; Germany Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. ABOUT THE ROLE Your goal will be to build DACH into n8n's most predictable Enterprise sales region - developing a team of high-performing Enterprise AEs, instilling forecast and pipeline discipline, and creating a repeatable operating model that wins complex, multi-stakeholder deals To make that happen, you'll be hands-on in coaching, deal inspection, and team development day-to-day, while staying close enough to strategic deals and customer executives to raise the bar on how we qualify, forecast, and win. What you’ll be doing   DEVELOPING A HIGH-PERFORMING, PREDICTABLE DACH TEAM - Coach and develop a team of Enterprise AEs through structured 1:1s, field coaching, and deal reviews – raising both the floor and the ceiling on individual performance - Build a rigorous forecasting and pipeline management cadence that makes DACH's numbers predictable quarter over quarter, not dependent on late-quarter heroics - Create a repeatable operating model – clear playbooks, MEDDIC/MEDDPICC-based deal inspection, and coaching rhythms – DACH's execution shouldn’t rely on you personally driving every strategic deal - Hire, onboard, and scale the team over time, establishing career paths and succession plans as the region grows SETTING THE STRATEGY FOR THE DACH TERRITORY - Prioritize and run the DACH Enterprise territory with focus – balancing new logo pursuits with expansion plays where community signals are strong - Set the strategy for the team's most complex enterprise cycles, from discovery to close, staying close enough to coach without taking the pen - Elevate sales methodology adoption (MEDDIC/MEDDPICC), ensuring meticulous qualification, mutual action plans, and disciplined inspection of technical + business wins BUILDING A STRATEGIC, MULTI-THREADED SELLING MOTION - Build a strategic selling culture that shifts the team from “running opportunities” to multi-threaded, value-led enterprise execution - Orchestrate executive engagement across DACH accounts – aligning economic buyers, champions, and technical evaluators to keep momentum and unblock deals - Run high-quality deal reviews and QBRs that sharpen strategy, elevate coaching moments, and improve win rates, cycle time, and forecast accuracy   PARTNERING ACROSS THE BUSINESS - Collaborate cross-functionally (Solutions Engineering, Customer Success, Marketing, RevOps, Product) to refine messaging for technical buyers, strengthen the enterprise playbook, and remove friction in the sales process REQUIREMENTS MUST HAVES - 🏆 Enterprise sales leadership: 5+ years in frontline sales management, leading ICs through complex, multi-threaded enterprise deals - 🔎 MEDDIC/MEDDPICC mastery: Deep, practical command of MEDDIC/MEDDPICC and a track record coaching teams to adopt it with real inspection - 📈 Forecast & pipeline rigor: Track record running a disciplined forecasting and pipeline management cadence that makes revenue predictable, not reactive - 🧠 Strategic deal management: You’re fluent in qualification, mutual action plans, champion building, and executive alignment in longer-cycle deals - 🎙️ Executive presence: You confidently engage senior stakeholders, run tight meetings, and set a high bar for clarity, urgency, and outcomes - 🧑‍🏫 Coaching & talent development: You level up AEs through structured coaching, field observation, and actionable feedback - 🧩 Multi-stakeholder navigation: You’re skilled at aligning technical and economic buyers, de-escalating conflict, and maintaining deal momentum - 🇩🇪 DE location: You’re based in Germany and happy being on-site with customers - 🔧 Technical-buyer credibility: Experience selling into technical stakeholders and navigating evaluation-heavy sales motions NICE-TO-HAVES - 🖥️ Open-source / PLG experience: You understand how community and bottoms-up adoption influence enterprise outcomes and how to partner with that motion - 🌉 Developer / infra SaaS background: Experience in DevOps, SecOps, IT Ops, data, infrastructure, or adjacent categories - 💡 Scrappy startup mindset: You’ve scaled in environments where playbooks are evolving and you enjoy building structure without slowing teams down - 📊 Operational excellence: Strong instincts for clean forecasting, pipeline hygiene, and turning data into coaching and better execution n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

We're hiring a Channel Marketing Manager to own partner marketing end-to-end — from partner onboarding and enablement to demand generation and events — across MSP, reseller, and VAR motions, prioritizing effort based on revenue potential and business urgency rather than spreading evenly across all three.

— Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement. — Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django.

Location: Bassendean, WA Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market. About the role At Bradken, we are equipping the resource sector to sustainably advance society. We are currently seeking an experienced Mechanical Fitter to join our Maintenance team in a full-time, permanent position based in Bassendean. In this hands-on role, you will be responsible for carrying out mechanical maintenance, repairs, installations and preventative maintenance activities across our manufacturing operations, ensuring equipment reliability and operational efficiency are maintained to the highest standards. This role is ideal for a trade-qualified Mechanical Fitter who enjoys problem-solving, improving plant reliability and working within a collaborative maintenance team. You will contribute to the safe and efficient operation of our site by supporting maintenance activities, plant improvement initiatives and continuous improvement programs. In this role you will: Carry out mechanical maintenance, installation and repair activities across a range of manufacturing plant and equipment. Complete preventative maintenance tasks and breakdown repairs to maximise equipment availability and reliability. Follow scheduled maintenance work orders and effectively utilise maintenance management systems. Assist with planning and scheduling maintenance activities to support site operational requirements. Contribute to plant improvement projects, including equipment selection, installation and commissioning. Investigate equipment reliability and performance issues, recommending practical improvement solutions. Ensure all maintenance work is completed in accordance with statutory, engineering, quality and safety requirements. Support continuous improvement initiatives aimed at reducing costs, eliminating waste and improving maintenance effectiveness. Provide technical support and knowledge sharing across maintenance and operational teams. Promote a proactive safety culture through safe work practices and active participation in safety and environmental initiatives. You will have: Trade qualification in Mechanical Fitting or a related trade discipline. Experience working within a heavy manufacturing, industrial, foundry or similar environment. Strong mechanical maintenance and fault-finding capabilities. Ability to interpret technical drawings, specifications and engineering standards. Experience using precision measuring equipment and maintaining high quality workmanship standards. Knowledge of manufacturing processes, maintenance practices and quality systems. Strong problem-solving and analytical skills with a focus on equipment reliability and continuous improvement. Effective written and verbal communication skills and the ability to work collaboratively within a team environment. A strong commitment to safety, quality and environmental responsibility. A proactive and self-motivated approach with the ability to work independently when required. Why join Bradken? Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions. We offer: Full-time permanent role with long-term career opportunities. Company-funded Income Protection Insurance. Opportunity to transfer accrued sick/carer's leave to annual leave. Ongoing training and development, including formal upskilling and qualification pathways. Diverse and challenging work across a range of manufacturing plant and equipment. Supportive team environment within a global organisation committed to safety, innovation and continuous improvement If you're an experienced Mechanical Fitter looking to join a team that values safety, quality and continuous improvement, we'd love to hear from you. Apply now and submit your resume along with a brief cover letter outlining your relevant experience and what makes you the right fit for this opportunity.

Location: Bassendean, WA Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market. About the role At Bradken, we are equipping the resource sector to sustainably advance society. We are currently seeking an experienced First Class Welder to join our Manufacturing team in a full-time, permanent position based in Bassendean . In this hands-on role, you will be responsible for producing high-quality welds on mining wear products and heavy industrial components, ensuring all work is completed safely, accurately and to specification. Your expertise will play a critical role in delivering reliable solutions for customers across the global mining industry. This role is ideal for a trade-qualified welder who takes pride in precision workmanship, delivering exceptional weld quality and working within a fast-paced manufacturing environment. You will contribute to the safe and efficient manufacture and refurbishment of mining equipment while supporting continuous improvement initiatives and maintaining Bradken's high standards for safety, quality and performance. In this role, you will: Perform high-quality welding on mining wear products and components in accordance with engineering drawings, welding procedures and quality specifications. Execute a variety of welding processes while maintaining exceptional workmanship and weld integrity standards. Prepare, position and weld components to required tolerances and specifications. Conduct visual inspections of completed welds to ensure compliance with quality and customer requirements. Interpret engineering drawings, weld symbols and fabrication instructions to accurately complete production tasks. Carry out gouging, grinding and weld preparation activities to support efficient production outcomes. Identify and report weld defects, quality concerns and opportunities for process improvement. Work closely with Supervisors, Leading Hands and team members to achieve production targets and delivery schedules. Maintain welding equipment, tools and work areas in a safe and serviceable condition. Promote a strong safety culture by complying with all safety procedures and actively participating in continuous improvement initiatives. What you'll bring: Trade qualification as a First Class Welder, Welder, or equivalent fabrication trade qualification. Demonstrated experience performing high-quality welding within a heavy manufacturing, mining, engineering or industrial environment. Strong knowledge of welding techniques, welding procedures and weld quality requirements. Ability to interpret engineering drawings, welding symbols and technical specifications. Experience working with carbon steel, wear-resistant materials and heavy fabricated components. Excellent attention to detail with a focus on producing high-quality welds and minimising rework. Strong understanding of workplace health, safety and quality requirements. Ability to work effectively both independently and as part of a team. Proven commitment to continuous improvement, reliability and professional workmanship. Forklift, Dogging, Rigging or Working at Heights tickets will be highly regarded. Why join Bradken? Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions. We offer: Full-time permanent position with long-term career opportunities. Income Protection Insurance. Opportunity to transfer accrued sick/carer's leave to annual leave. Ongoing training and development, including formal upskilling and qualification upgrade pathways. Opportunity to work on large-scale mining wear solutions used across the global resources sector. Be part of a global organisation committed to safety, innovation and continuous improvement. Supportive team environment with opportunities to further develop your welding expertise and technical skills. If you're an experienced First Class Welder looking to join a team that values safety, quality and craftsmanship, we'd love to hear from you. Apply now and submit your resume along with a brief cover letter outlining your relevant experience and what makes you the right fit for this opportunity.

About the job: QV.AC is a general purpose AI assistant that runs locally on your devices, giving people real control over their data and AI usage without cloud dependency or data harvesting. The focus is on local, on-device, privacy-preserving AI connected across Tether's peer-to-peer ecosystem. Responsibilities: Engineering: — Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping. — Set and hold a high engineering bar for performance, reliability, and clean APIs. — Own the technical design of features and the API surface between the AI core and the app. — Ensure close collaboration with AI research and deep tech teams on code reviews, design, and anything involving models or inference. Product Partnership: — Work alongside product managers to turn vision and roadmap into scoped, buildable work. — Push back when scope and reality don't match and propose better paths. — Bring an engineering perspective to product decisions, especially regarding local AI model capabilities and limitations. — Help the team move fast using AI tools and quick prototypes to validate ideas before commitment. Leadership: — Create clarity around team goals and define success. — Mentor team leads to build strong operating systems, improve collaboration, and grow as leaders. — Lead by example: actively contribute when needed and step back when teams are ready to own their work. Mandatory Requirements: — Experience managing engineers or engineering leads who ship consumer products, ideally AI-powered apps. — Strong product sense to distinguish good features from busywork. — Intuition for applied AI and on-device constraints such as model size, latency, memory, battery, and the gap between demos and reliable features. — Heavy use of AI tools in own work and enthusiasm for experimenting with new models and capabilities. — Deep knowledge of JavaScript and React. — Initiative, curiosity, resilience, and ability to give and receive direct critique. Preferred: — Experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop apps, or open source. Work format: — Remote work from anywhere in the world. Additional information: — Recruitment scams warning and official application channels provided. — Official careers page: https://tether.recruitee.com/ — Communication only via official company emails ending with @tether.to or @tether.io. — No requests for payment or financial details during hiring. — Candidates encouraged to mention the word EXTOLL when applying to confirm they read the job post fully.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for a Sales Operations Manager to support our GTM organization by managing advanced models, improving our data structure, and strengthening our operational processes. Reporting to the Sr Director of Field Operations, this role will focus on target setting, quota creation, and reporting for our consumption based product suite. The ideal candidate is highly analytical, excels at translating complex business realities into structured models, and thrives in a fast-paced, data-heavy environment. What you'll be doing: Improve and maintain core models of our account base as it relates to consumption growth across the GTM organization. Partner with the larger Revenue Operations and Compensation team to manage monthly compensation updates and drive improvements in existing processes. Conduct deep-dive analyses on our customer product engagement to drive decisions around our product investment, GTM segmentation, and territory planning decisions. Work within Google BigQuery (SQL) to extract large datasets for reporting. Influence data orchestration between BigQuery, Google Sheets, and compensation tools to streamline calculations and execution of compensation. Manage exceptions directly with Sales. Independently execute ad-hoc reporting requests, delivering actionable insights What Makes You a Great Fit: 4+ years of experience in strategy and operations, consulting, business analytics, or compensation. Comfort working with large datasets and ambiguous problems, with the ability to distill key takeaways. Strong problem-solving skills – able to translate business challenges into structured models and insights. Excellent communication skills with executive audiences - explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis. Ability to work independently and drive analysis with minimal guidance. Expert-level Excel or Google Sheets modeling skills, including advanced formulas, pivot tables, and data visualization. Proficiency in SQL and data orchestration between BigQuery and GTM tools Experience with Salesforce reporting, dashboards, validation rules, and flows. Experience with compensation tools like Xactly, Apttus, or CaptivateIQ Bonus Points For: Previous experience in open source Experience with data visualization tools like Tableau or Looker. Grafana visualization as a plus Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $ 125,000 - $148 ,000 Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Merlimau,Malaysia About Bradken Bradken is a global leader in innovative wear solutions and custom-engineered products for the resources sector. For our more than 3,000 people, that global reach brings opportunities to share expertise, solve meaningful challenges and grow through new experiences. Together, we help the resources sector sustainably advance society. About the role We are seeking an experienced Senior Maintenance Engineer to lead and oversee maintenance reliability, plant improvement initiatives, and contractor management within our manufacturing operations in Merlimau. This role plays a critical part in ensuring the safe, reliable, and efficient operation of plant equipment through the effective execution of preventive, corrective, and condition-based maintenance programs. Working closely with Operations, Safety, Quality, and Engineering teams, you will drive continuous improvement initiatives, manage maintenance budgets and resources, and contribute to operational excellence across the site. If you thrive in a hands-on manufacturing environment and enjoy leading teams, solving complex technical challenges, and improving plant performance, this is an excellent opportunity to make a meaningful impact. In this role, you will: Lead preventive, corrective, and condition-based maintenance activities to maximise equipment reliability, safety, and operational efficiency. Coordinate maintenance resources, schedules, contractors, spare parts, and technical support to ensure timely execution of maintenance work. Drive a strong safety culture by ensuring compliance with Bradken's safety standards, environmental requirements, and contractor management processes. Analyse major equipment failures, lead root cause investigations, and implement sustainable corrective actions to improve plant performance. Lead plant shutdown planning, execution, and continuous improvement initiatives, including CAPEX projects, equipment upgrades, and reliability improvements. Manage maintenance budgets, inventories, documentation, and team performance while fostering a culture of accountability, quality, and continuous improvement. What you’ll bring: Bachelor’s degree in mechanical engineering, Electrical Engineering, Mechatronics Engineering, or a related engineering discipline. Proven experience in maintenance engineering within a manufacturing, foundry, heavy industry, or industrial plant environment. Strong knowledge of preventive maintenance, corrective maintenance, condition monitoring, and reliability improvement practices. Experience leading maintenance teams, managing contractors, and coordinating plant shutdowns or major maintenance activities. Demonstrated experience in root cause analysis, equipment troubleshooting, and continuous improvement projects. Familiarity with maintenance management systems (CMMS/EAM) and maintenance planning processes. Strong understanding of workplace safety, environmental compliance, and risk management principles. Excellent communication and stakeholder management skills with the ability to collaborate across multiple functions. Note: Applicants must have the legal right to work in Malaysia. Bradken is unable to provide visa or work permit sponsorship for this role . Why join Bradken? At Bradken, you’ll do work that matters. Whatever your role, your contribution helps solve real challenges for our customers and supports safer, more efficient and sustainable resource operations. You’ll join a team that values different perspectives, shares expertise and dares to challenge how things are done. We support your growth through hands-on experience, learning and development, and opportunities to work across functions and locations. Safety, respect and wellbeing come first, so you can do your best work and enjoy life beyond it. We offer: A safety-first culture Competitive pay and benefits Flexible work options, where the role allows Learning and development opportunities An Employee Assistance Program for you and your family Our hiring process As part of our selection process, we may invite you to complete a one-way video screening at a time that works for you. This helps us provide a fair and consistent experience when working across locations and time zones. If you need an adjustment or alternative format at any stage, please let us know. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.