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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: Speech & Voice AI Analyst 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) 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 Portuguese (Brazil) 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.

Location: Istanbul, Turkey Job Description P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our AI-powered network automation products and services enable mobile operators to accelerate digital network transformation through intelligent automation, advanced analytics, and closed-loop optimization, delivering superior network quality, greater operational efficiency, and readiness for 5G and beyond. Our solutions have been successfully deployed by 87 mobile network operators across 60 countries worldwide. We are looking for a Bids and Proposal Expert to join our challenging, multinational, and multicultural work environment. This is an opportunity to work with leading telecom operators worldwide and help redefine the mobile experience by contributing to our research and development efforts. Responsibilities Manage the end-to-end bid process for existing and prospective clients, ensuring complete, compliant, high-quality submissions are delivered on time and within budget. Coordinate the production of bid proposals, including P&L studies, contract responses, draft development, milestone tracking, final formatting, printing, binding, shipment, distribution, and archiving. Lead day-to-day bid activities, developing a strong understanding of client needs and clearly articulating how P.I. Works can address them. Work closely with core bid teams and engage subject matter experts as needed to develop accurate and compelling proposal responses. Analyze RFP requirements, evaluate compliance with company standards, and coordinate tailored responses with relevant stakeholders. Collaborate with Sales, Project Management, Finance, Legal, and other stakeholders to ensure timely and accurate completion of all bid-related components, including bid documents, forms, bid bonds, insurance requests, and final proposals. Support the department manager in driving continuous process improvements to strengthen competitive bids, enhance RFP response management, and maintain up-to-date databases, modular content, and proposal boilerplate materials. Requirements Bachelor’s degree in Engineering, Business Administration, Management, or a related field. 5–8 years of experience in bid management, proposal management, contracts, sales operations, or a similar function. Experience negotiating contract terms and supporting commercial discussions. Experience developing pricing schedules and coordinating commercial inputs. Experience in the telecommunications sector. Advanced proficiency in Microsoft Office applications. Excellent command of written and spoken English. Strong analytical, negotiation, communication, and presentation skills. Knowledge of risk and opportunity management. Ability to work effectively in a deadline-driven environment. Strong verbal and written communication skills, with the ability to engage stakeholders at all levels of the organization. Strong problem-solving skills and a proactive mindset. Collaborative team player with the ability to work independently when needed. Excellent time management skills, efficiency, and ability to work with minimal supervision.

Location: Bengaluru, Karnataka, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior Software Engineer Location: Bangalore, India · In-office · Hybrid Experience: 6–8 years About the Role We're hiring a Senior Software Engineer to own significant pieces of our product and platform end-to-end. You'll lead the design and delivery of complex systems, raise the engineering bar through reviews and mentorship, and partner across functions to ship reliable software at scale. This is a high-ownership role for an engineer who combines strong distributed-systems depth with sound design judgment and an AI-forward mindset. What You'll Do Own end-to-end delivery of features and services — from design through production operation. Design scalable, reliable distributed systems and drive key technical decisions. Debug and resolve production issues; improve reliability and performance. Raise code quality and design standards through thorough, constructive reviews. Mentor junior engineers and contribute to a strong engineering culture. Collaborate cross-functionally with product, design, and other teams. What We're Looking For 6–8 years of software engineering experience, ideally at scalable product companies. Proven ownership: end-to-end delivery, production debugging, and mentoring more junior engineers. Strong distributed systems and cloud engineering skills (AWS, GCP, or Azure). Solid code quality, testing, and design practices. A track record with measurable scale, reliability improvements, and architecture participation. Strong cross-functional collaboration and clear communication. A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily. Nice to Have Microservices / platform engineering experience. AI/LLM platform integrations. We are an equal-opportunity employer. We evaluate candidates on demonstrated skills and impact and welcome applicants from all backgrounds. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. The Role GiveWell is hiring a Senior Philanthropy Advisor to manage and advise a portfolio of our largest donors. This role will help shape our relationship strategy with donors giving seven- to ten-figure gifts and will have significant influence over how GiveWell’s philanthropy function grows and evolves. You will manage and advise a portfolio of our largest donors, serve as a leader within our philanthropy team, and be a thought partner to our senior leadership team. Why We’re Hiring Now Many of our donors are analytical, quantitative thinkers, and their deep engagement with our research makes our work better. We've built a philanthropy team to match. We take the time to understand what our donors value, we treat their giving as a true partnership, and we invest in learning our own research deeply so we can help donors do the same. We measure our relationships in years, not quarters. We face a historic opportunity to scale giving to high-impact causes and to save and improve lives around the world. To meet this moment, we are engaging a new generation of major philanthropists, while strengthening the partnerships model that has made our existing donor relationships so productive. We believe that deepening our philanthropic partnerships with our current and future major donors is one of the highest-leverage actions GiveWell can take to ensure significantly more funding for some of the world’s most cost-effective programs. What You’ll Do Build long-term, trust-based relationships with major donors that deepen donors’ understanding of GiveWell’s work. Proactively identify the insights, data points, and narratives from GiveWell’s research that are most relevant to major donor decision-making. Drive and lead team-wide initiatives and significant projects to make our work accessible, from learning journey design, playbooks, and systems to donor events and donor communications. Translate GiveWell’s research into original donor-facing content that makes our work accessible to analytically sophisticated, time-poor major donors. Serve as a strategic advisor to GiveWell’s leadership. Drive improvements to our philanthropy culture, systems, and processes to improve how our philanthropy function operates and scales. About You You understand how people translate their values into action. You're comfortable connecting with a wide range of people, from the donor who wants to deeply understand every assumption in our model to the donor who wants a high-trust, low-friction recommendation they can act on quickly, and everyone in between. Your background includes significant experience earning trust with discerning, analytic people, where you are a partner in somebody else's high-stakes decisions. You've experienced navigating this, not by telling them what to do, but by helping them think clearly and get the right information to support what they're trying to accomplish. You know how to help people navigate doubt and complexity. You are comfortable both bringing a clear point of view (for example, by saying, "Here's what I would do") and helping people strengthen their own judgment over time. You are excited by intellectually demanding work. You are ready to engage with complex global health topics, including our cost-effectiveness models, program evaluation, and evidence quality. You are driven to get up to speed and be ready to explain them clearly to audiences who will push back on our thinking. You are excited to engage with hard follow-up questions and people who will expect rigorous answers. While you don't need prior global health experience, you will need to demonstrate you can get up to speed quickly on complex quantitative subject matter and translate it rigorously and credibly. You bring high emotional intelligence, curiosity, and a clear sense of mission to your day-to-day work. You’re a collaborator who connects dots and builds relationships across teams. You bring depth of leadership experience, and you are comfortable supporting strategic decisions and rolling up your sleeves to build and shape our work. You are ready to bring adaptive energy to this work while being comfortable deeply explaining your reasoning and taking time to reach high-quality decisions where it matters. Strong candidates will have: A track record of managing sophisticated, high-stakes relationships—whether with major donors, ultra-high-net-worth clients, foundation officers, board members, or similarly discerning stakeholders in another field entirely. Exceptional relationship management skills, with high emotional intelligence, an advisory mindset, and the ability to hold a large amount of context about a person and synthesize it in real time. Interest in global health and development, and the ability to engage in complex research and ideas even without prior experience in the sector. Excellent communication skills, written and verbal—clear, tailored, and credible messaging for discerning stakeholders, including comfort producing original written content. Leadership skills to partner with senior staff and influence across teams collaboratively. Strong operational expertise: leading cross-team projects, building scalable processes, and translating strategy into action. Strong alignment with GiveWell’s mission and values, including truth-seeking, transparency, humility, and long-term trust-building. Who Tends to do well: People who enjoy building relationships and understanding what motivates the people they work with People who can engage thoughtful, analytical audiences and handle nuanced conversations Fast learners who can pick up complex, unfamiliar subject matter and enjoy translating it verbally and into written content Self-starters who take ownership and work well in a collaborative, evolving team People who are proactive and anticipatory—who reach out before the other person knows they need something People who are comfortable sitting with complexity and helping others navigate uncertainty People who are enthusiastic about GiveWell's mission and values Key Questions What are some of the reasons I might not like this role? You prefer research or analysis over building relationships with people You struggle with initiating challenging or direct conversations You  prefer highly structured environments with clear answers at all times You prefer to share information and let others draw conclusions, rather than offering their own synthesis and point of view What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. We'll share more specific details if we invite you to move forward to any of the following stages, but our current plan is: Screen with our Manager, Talent Acquisition Compensated 4-hour work trial (written) Interviews with our VP, Philanthropy and Senior Manager, Philanthropy Additional work trial (live interview) with our VP, Philanthropy and a Senior Philanthropy Advisor Final Onsite in our Oakland, California headquarters, where you’ll interview with members of our executive leadership team in person (we will cover your travel expenses). References Note that you don't need to submit a cover letter. We rely heavily on your resume and answers to the application questions below when we're making early decisions. We encourage you to spend time responding to the application questions thoroughly and carefully. Details Team: You'll report to our VP of Philanthropy. Compensation : NYC or the San Francisco Bay Area: $247,500 All other U.S. locations: $225,000 Location: This position is eligible to work fully remotely within the US. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC;. We'll cover relocation expenses for candidates who wish to move to one of these physical office locations. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Benefits : Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year One week all-office closure 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: United States Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Mexico (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking experienced professionals in Indian Finance and Financial Services to contribute to a cutting-edge AI benchmarking project. As a Subject Matter Expert, you will create and review high-quality, real-world financial scenarios that evaluate AI systems in Mexico-specific contexts. Your expertise will directly shape how AI understands and performs in India-compliant financial environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in Spanish/English reflecting finance practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native Spanish (Mexico) with strong professional English proficiency - 5+ years of experience in Finance or Financial Services (e.g., structuring, compliance, audit, risk, investment analysis) - Strong knowledge of Mexico's financial products and frameworks - Familiarity with regulatory environments - Ability to write and evaluate professional-grade financial content with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: Site Selection & Market Analysis Lead the end-to-end site selection process for new data center facilities. Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. Technical & Environmental Due Diligence Coordinate environmental, geotechnical, hydrological, and seismic assessments. Assess infrastructure availability (power, water, fiber) and future scalability. Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. Colocation Strategy & Vendor Management Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. Cross-Functional Collaboration Work with data center design and construction teams to validate site feasibility and development timelines. Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. Coordinate with public authorities, utilities, and permitting agencies as needed. Risk Assessment & Compliance Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. Ensure compliance with local regulations, zoning laws, and corporate standards. Maintain documentation for audits, reporting, and internal approvals. We expect you to have: Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. Strong understanding of data center power, cooling, and network requirements. Experience in evaluating colocation providers and negotiating leases/SLAs. Analytical skills in market research, cost modeling, and risk assessment. Ability to manage multiple simultaneous projects across regions. Excellent communication, negotiation, and stakeholder management skills. It will be an added bonus if you have: Experience with hyper-scale or large-scale data center development. Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. Understanding of permitting processes and environmental regulations. #LI-PD1 #LI-PD1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Prague, Czech Republic; Warsaw, Poland Are you a tax professional who looks at complex global regulations and sees a puzzle to solve? Do you want to move past repetitive compliance checklists to build a global tax strategy from the ground up, owning your decisions in a place that values substance over corporate protocol? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do As our product reach grows and international tax laws shift, managing indirect tax requires deep context and real ownership. We are establishing a dedicated global indirect tax function to handle our footprint across multiple office locations and the dozens of countries where we sell products and host events. In this role, you will act as the core expert shaping our global VAT, GST, US sales tax, and digital services tax strategies. Reporting to the Head of Group Tax, you will take full ownership of designing scalable compliance processes from scratch rather than just maintaining inherited workflows. You will collaborate directly with legal, procurement, marketing, and engineering teams to ensure our systems handle new commercial operations, like e-invoicing and real-time reporting mandates, smoothly. Your judgment will directly influence how JetBrains navigates changing legislation and mitigates financial risks worldwide. Day to day, you will: Lead global indirect tax operations, managing VAT, GST, digital services tax, US sales tax, consumption taxes, and customs duties across all global entities. Design and implement end-to-end tax workflows for digital services, physical goods, employee benefits, and intercompany transactions. Direct our response to ViDA, focusing on the deployment of electronic invoicing. Oversee compliance lifecycles, coordinate registrations, and manage external service providers across international jurisdictions. Evaluate and refine internal indirect tax controls and policies to support business growth. Advise internal product and operational teams on the tax implications of new commercial initiatives. Partner with technical teams to automate tax reporting and integrate compliance logic into our ERP systems. Monitor international tax updates, assessing their impact and leading the necessary system changes. Manage tax audits and direct communications with local tax authorities. Train internal stakeholders across departments on indirect tax compliance practices. What you’ll bring A problem-solving mindset that turns complex regulatory ambiguity into structured, clear processes. The autonomy to make decisions and full accountability for the results. Strong communication skills, with the ability to explain complex tax implications in plain language to non-tax colleagues. Cultural curiosity when working with cross-functional teams spanning different countries and backgrounds. A commitment to quality that avoids quick fixes in favor of stable, long-term operational workflows. What you’ll need Comprehensive experience in international indirect taxation, blending advisory or consultancy work with in-house operations for an international corporation. Deep technical command of international VAT frameworks, including EU VAT application rules. A proven track record of designing tax workflows or adapting business systems to new regional tax legislations. Experience managing cross-border tax audits and dealing directly with regulatory authorities. Fluency in written and spoken English. A practical understanding of tax automation tools and ERP system integrations. What success looks like Success means building a resilient global indirect tax function that keeps JetBrains ahead of international regulatory updates without stalling business momentum. You will earn the trust of leadership by translating shifting rules into reliable internal workflows, ensuring our e-invoicing and digital service operations remain compliant and fully integrated. Ultimately, you win when tax risks are minimized, internal stakeholders are unblocked, and our compliance processes scale invisibly alongside our products. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. We are an equal opportunity employer. We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. If this sounds like the right balance of challenge and autonomy for you, we would love to receive your application. #LI-HYBRID #LI-MH1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Shanghai, China Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. The Role As a Product Manager focused on Meta Systems for VALORANT Mobile, you will help shape the out-of-match experience that supports players before, between, and after every tactical fight. You will work on player-facing systems including, but not limited to, progression, social features, asset display, party-up experience, player identity, and other systems that deepen long-term engagement. Your goal is to ensure VALORANT Mobile does not only feel great in the round, but also gives players meaningful reasons to return, connect, express themselves, and grow over time. This role requires strong player empathy, structured product thinking, and the ability to translate ambiguous player needs into clear product direction. You will partner closely with Quantum Studio, our co-development partner, as well as Riot VALORANT teams, designers, engineers, publishing stakeholders, and other Riot partners to define feature goals, review implementation quality, and continuously improve the player experience through data, research, and product intuition. As a Rioter in China, you’ll join a team of culturally diverse professionals who share a passion for games and a commitment to putting players first. To support Riot’s collaborative culture in our China offices, we operate without traditional hierarchical titles. What matters here is ownership, autonomy, and impact, not what’s printed on your badge. Responsibilities: Drive the product direction and execution support for VALORANT Mobile meta systems, including progression, social, party-up, asset display, player identity, and other out-of-match player experiences. Partner closely with Quantum Studio to define product goals, feature requirements, user flows, experience principles, and acceptance criteria for new and existing meta system features. Review and refine Quantum Studio’s feature implementation throughout the development cycle, ensuring the final player experience is intuitive, polished, and aligned with VALORANT’s product quality bar. Use player behavior data, research insights, competitive references, and product intuition to identify opportunities that improve engagement, retention, social connection, and long-term player motivation. Collaborate with Riot VALORANT teams, publishing stakeholders, and other product owners to ensure meta system direction aligns with broader VALORANT product principles, version planning, live operations, and player needs. Support the planning and prioritization of meta system improvements across patches, balancing player impact, development cost, business goals, and delivery timelines. Act as the voice of VALORANT Mobile players in the meta system space, ensuring features serve both core tactical shooter players and broader mobile audiences. Monitor post-launch feature performance and player feedback, then build actionable optimization plans with Quantum Studio and relevant Riot stakeholders for future iterations. Contribute to cross-functional discussions on how meta systems connect with gameplay, monetization, content, social, and live service strategies. Required Qualifications: 5+ years of experience in product management, game operations, system design, or live service games, preferably with experience in mobile games. Experience owning or supporting player-facing systems such as progression, social, party, profile, collection, achievement, mission, onboarding, or other engagement-related systems. Strong product judgment and player empathy, with the ability to identify player needs and translate them into clear product requirements and experience improvements. Ability to work through moderately complex product problems, evaluate trade-offs, and propose practical solutions within defined constraints. Strong data literacy, with experience using engagement, retention, funnel, social, or feature usage data to evaluate product performance and guide iteration. Excellent cross-functional communication skills, with experience working closely with design, engineering, publishing, analytics, research, or external development partners. Experience working in a co-development or distributed team environment, including aligning stakeholders across different teams, cultures, or regions. Fluent in Mandarin and English. Desired Qualifications: Deep passion for competitive multiplayer games, tactical shooters, or mobile live service games. Experience working on meta systems for a major live service title, especially systems related to progression, social connection, player identity, or long-term engagement. Strong understanding of mobile player behavior and how meta systems support retention, session motivation, social play, and content discovery. Familiarity with VALORANT, its player motivations, competitive ecosystem, cosmetics culture, and overall product identity. Experience using player research, community feedback, and market references to shape product direction. Experience working with co-development partners, external studios, or large-scale distributed development teams on feature delivery and quality review. 职位介绍 作为 VALORANT Mobile 团队负责 Meta Systems 的产品经理 ，你将参与塑造玩家在每一场战斗前、战斗间隙以及战斗结束后的整体游戏体验。 你将负责的玩家体验系统包括但不限于局内外成长、社交功能、资产展示、组队体验、玩家身份表达，以及其他能够提升长期参与度的局外系统。你的目标是确保 VALORANT Mobile 不只是在对局内有出色的战术竞技体验，也能在对局外持续给玩家提供回归、连接、表达自我与长期成长的理由。 这个职位需要你具备强烈的玩家同理心、结构化的产品思考能力，以及将模糊玩家需求转化为清晰产品方向的能力。你将与我们的联合研发伙伴 Quantum Studio，以及 Riot VALORANT 团队、设计、工程、发行团队和其他 Riot 内部伙伴密切合作，定义功能目标，审核落地质量，并通过数据、研究与产品判断持续优化玩家体验。 在 Riot 中国办公室，你将加入一支由不同文化背景的专业伙伴组成的团队。我们共同热爱游戏，也始终坚持以玩家为中心。为了支持 Riot 在中国办公室的协作文化，我们不强调传统层级头衔。真正重要的是你所承担的责任、展现的自主性，以及最终创造的影响力。 职责描述 推动 VALORANT Mobile Meta Systems 的产品方向与落地支持，包括局内外成长、社交、组队、资产展示、玩家身份表达，以及其他局外玩家体验系统。 与联合研发伙伴紧密合作，定义新功能与现有功能的产品目标、功能需求、用户流程、体验原则和验收标准。 在开发周期中持续审核并优化联合研发伙伴的功能实现，确保最终玩家体验直观、精致，并符合 VALORANT 的产品质量标准。 结合玩家行为数据、用户研究、竞品参考与产品判断，识别能够提升参与度、留存、社交连接和长期玩家动机的优化机会。 与 Riot VALORANT 团队、发行团队以及其他产品负责人合作，确保 Meta Systems 的方向与更广泛的 VALORANT 产品原则、版本规划、运营节奏和玩家需求保持一致。 支持不同版本中 Meta Systems 优化内容的规划和优先级排序，在玩家影响、研发成本、业务目标和交付时间之间做出合理取舍。 代表 VALORANT Mobile 玩家在 Meta Systems 领域提出清晰观点，确保相关功能既能服务核心战术射击玩家，也能兼顾更广泛的移动端玩家群体。 追踪功能上线后的表现与玩家反馈，并与联合研发伙伴和相关 Riot 团队一起制定可执行的后续优化计划。 基本要求 拥有 5 年以上产品管理、游戏运营、系统设计或长线运营游戏相关经验，有移动游戏经验者优先。 曾负责或参与过玩家体验系统，例如成长、社交、组队、个人资料、收藏、成就、任务、新手引导或其他与玩家参与度相关的系统。 具备良好的产品判断力和玩家同理心，能够识别玩家需求，并将其转化为清晰的产品需求和体验优化方案。 能够处理具有一定复杂度的产品问题，评估不同方案的取舍，并在明确约束下提出务实可行的解决方案。 具备良好的数据理解能力，能够使用参与度、留存、转化漏斗、社交行为或功能使用数据来评估产品表现并指导后续迭代。 具备优秀的跨职能沟通能力，能够与设计、工程、发行、数据分析、用户研究或外部研发伙伴高效协作。 有联合研发或分布式团队协作经验，能够推动不同团队、文化或地区的相关方达成共识。 中英文流利。 加分项 热爱竞技多人游戏、战术射击游戏或移动端长线运营游戏。 有大型长线运营游戏 Meta Systems 相关经验，尤其是成长、社交连接、玩家身份表达或长期参与度相关系统。 深入理解移动端玩家行为，以及 Meta Systems 如何支撑留存、开局动机、社交游玩和内容发现。 熟悉 VALORANT，包括其玩家动机、竞技生态、皮肤文化和整体产品气质。 有使用用户研究、社区反馈和市场参考来制定产品方向的经验。 有与联合研发伙伴、外部工作室或大型分布式研发团队合作推进功能交付和质量审核的经验。

Location: Pasig City, Philippines Job Description: Help guide report strategy, help determine important safety concerns and review medical and medical safety content that will be included or discussed in the report, including but not limited to safety signals, health authority requests, safety-related literature, adverse event case reviews, benefit-risk assessments, and overall medical assessments and conclusions. Work in collaboration with contributing team members, particularly with the reports assigned to the Global Risk Assessment and Safety Physician. Review all stages of the report that are assigned during the report authoring process, record their recommended revisions, and indicate completion of their reviews in the corresponding systems. Key Responsibilities: Provide medical and scientific judgment in the evaluation of data pertaining to the efficacy and safety of Client products including, but not limited to, PBRER-PSURs and benefit-risk evaluations Review and contribute to strategy discussions, including determination of the important safety concerns and review of draft/final data, HA feedback topics, signals, and benefit-risk evaluation. Coordinate with Global Risk Assessment and Safety Physicians regarding PBRER steps and hand-offs and collaborate with other members of the report authoring team. Review the drafts and final reports as assigned and provide feedback, which may include pre-initial, drafts, drafts, final drafts, and final reports as assigned. Qualifications: Requirement: Licensed Medical Physician Experience in Drug Safety and Pharmacovigilance (PV) Concepts, regulatory requirements, research principles, and safety data analysis. 1-3 years of experience in pharmaceutical regulations and R&D processes. Technical Skills: the ability to analyze, interpret, and present complex data in a concise and understandable scientific manner, both orally and in written format, is essential. Attention to detail: diligence in record-keeping and records organization, ability to manage high workload and critical issues, computer literate and proficiency in MS Office applications. Internal and external networking skills: strong collaborative and interpersonal skills, results-oriented and ability to independently create and deliver, ability to thrive in a global, cross-functional environment. Data entry experience desired. Accountability for delivery of results. Decision making and problem-solving skills. Proactive approach/uses own initiative. Manages own work, able to prioritize, plan and organize work assignments and work under strict timelines Ability to follow guidelines, working practices etc. Experience of working with SOP/WI preferred

Location: Remote-Friendly, United States 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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Vientiane, Laos; Remote, Worldwide; Remote - Europe; Remote; Thailand Workplace: remote Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Lao - Based in: Worldwide, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: Ukraine Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for Technical Interviewers. Responsibilities: Conduct technical interviews and assessments for PHP developer positions to evaluate candidates' coding skills, problem-solving abilities, and understanding of Java concepts. Collaborate with recruitment teams to refine interview questions and techniques based on role requirements and industry trends. Provide detailed feedback and recommendations on candidates to hiring managers and HR teams to assist with hiring decisions. Stay updated with the latest Java technologies and updates to effectively assess candidates. Participate in creating and standardizing technical interview processes and training materials for interviewers. Requirements Proven experience as a Java developer with a strong understanding of PHP ecosystems and frameworks such as Laravel and Symfony. Previous experience in technical interviewing, mentoring, or teaching roles is highly advantageous. Excellent communication and interpersonal skills. Ability to provide constructive feedback and handle interviews professionally. Additional languages are a plus.

Location: Berlin Office Workplace: Hybrid About the role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Forward Deployed Engineer (Ops). You'll spend much of your time working directly with enterprise customers, acting as their trusted technical partner to investigate issues, guide best practices, and help them get the most value from Taktile's AI platform. You will work closely with Taktile’s Engineering, Product and Customer Success Teams, ensuring our customers derive maximum value from Taktile while enjoying a top-tier experience. If you're passionate about tech and AI, stay up to date on the latest AI developments, and have extensive experience with a Decision Platform, REST APIs, Python, and SQL, you'll thrive here.   What You’ll Do as a Forward Deployed Engineer (Ops) - Develop a deep understanding of the Taktile platform and the value it can unlock for our customers. - Support post-onboarding customers with technical problems and product inquiries, maximizing the full potential of our agentic AI workflows for complex decisioning. - Work with Product and Engineering to translate customer insights into product improvements, ensuring Taktile continues to solve real business and technical problems. - Leverage AI to create reusable collateral, best practices, tools, and automations that level up the Customer Success team. - Build strong relationships with Taktile's core users within customer teams. About you - You have 1–2 years of experience in a customer-facing technical role, partnering directly with enterprise customers to troubleshoot technical issues, advise on best practices, and deliver successful outcomes. Experience as a Solutions Engineer, Technical Account Manager, Forward Deployed Engineer, Customer Success Engineer, or Technical Consultant is preferred. - You are familiar with AI concepts including prompt engineering, large language models, and AI Agents. - You are curious and customer-centric, caring deeply about the Taktile platform experience. - You enjoy solving technical problems and finding innovative solutions to customer issues. - You have strong knowledge of APIs and data formats such as JSON and XML. - You are proficient in Python and SQL. - You have strong analytical skills and a hands-on mentality. - You communicate clearly in English with a wide range of customer profiles (engineers, business analysts, risk managers). - You enjoy working directly with customers and are confident leading technical conversations, asking thoughtful questions, and explaining complex technical concepts to both technical and non-technical audiences. - You are open to a hybrid work model and can work from our Berlin office at least three days per week. Ideal Qualifications (but Not Required) - You have a proven ability to navigate, query, and interpret complex systems and application logs. - You have acquired domain expertise in the financial services industry (banking, insurance, lending, payments, etc.). - You have the ability to work flexibly, with a willingness to occasionally work outside of standard business hours. What we offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage AI company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Develop deep expertise in prompt engineering and agentic AI architectures to automate institutions' most complex decisions. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at http://taktile.com/taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: Remote, Washington, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the Pacific Northwest. Technologies You’ll Use SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools. What You’ll Do Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria Design enterprise-grade data transformation and analytics architectures using dbt Partner with Sales to communicate the technical and business value of the dbt platform Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate Build trusted relationships with technical practitioners, data leaders, and executive stakeholders Guide customers through technical architecture, security, governance, and deployment considerations Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community Skills We’re Looking For 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling Strong understanding of modern cloud data warehouse, lake house, and analytics architectures Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams Bonus Skills​ Experience with dbt or analytics engineering Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $197,512.50 — $274,329.23 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role If you're passionate about solving complex technical problems and helping build trust between customers and engineering, this is the role for you. We're seeking a motivated Customer Reliability Engineer to join our team. You'll take ownership of our most complex, ambiguous customer escalations, solving issues where the root cause is not always obvious. You will work these issues to resolution or alternatively a fully-documented handoff that engineering can act on without delay. As a Customer Reliability Engineer, you'll partner closely with the Customer Success Team, Support Team, and Product/Engineering to close the gap between "customer has described a problem" and "engineering has what it needs to fix it." This role reports directly to the Customer Reliability Engineer Team Lead. Key Responsibilities Own high-severity, post-sales technical escalations from intake through resolution or engineering handoff. This includes deep-dive investigations and reproduction of difficult-to-isolate bugs. Get on calls with customers, pull logs, and communicate with the customer about leading theories. Build engineering handoff packages that require minimal follow-up questions: reproducible case, log evidence (timestamps, node IDs), version matrix, impact scope, what's already been ruled out, and a proposed engineering team to own the fix. File and track issues for confirmed bugs, keeping the ticket/issue link intact so engineering retains full customer context. Monitor for patterns across escalations to catch recurring or systemic issues early; translate what you learn into product improvements, tooling, and runbooks that raise the technical bar for the whole Support org. Partner with Support, CSE, and Product/Eng, while staying within this team's scope. What We Are Looking For 4+ years in a technical support or escalation role at a SaaS or infrastructure company, with demonstrated ownership of escalated/enterprise-tier accounts. A genuine problem-solver who gets energy from untangling hard, ambiguous technical issues Comfortable owning a live, high-stakes customer call: staying calm, building trust, and communicating clearly with a frustrated or technical customer under pressure. Hands-on networking experience in production or homelab environments: TCP/IP, routing, DNS, firewalls, NAT, VPNs, load balancers. Deep familiarity with overlay networking concepts — WireGuard, UDP hole punching, STUN — and comparable VPN/networking products. Code-level debugging capability: can read Go source, reason about goroutines/locks/channels, read pprof CPU/heap profiles, and understand network interface semantics. Comfortable with infrastructure concepts: cloud IaaS, CI/CD pipelines, containerized applications, and Kubernetes debugging. Strong systems administration skills as well as troubleshooting across Linux, macOS, and Windows. Track record of independently building reproducible test cases and clear, evidence-backed bug reports engineering can act on directly. Strong technical storytelling: able to distill highly technical, ambiguous issues into clear narratives for both engineers and non-technical stakeholders. Investigative mindset; curious to analyze root cause, and evaluate all options to get customers to the best solution Proficiency with programming/scripting in Go, Python, JSON Experience with packet-level analysis As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $115,000 — $144,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role If you're passionate about solving complex technical problems and helping build trust between customers and engineering, this is the role for you. We're seeking a motivated Customer Reliability Engineer to join our team. You'll take ownership of our most complex, ambiguous customer escalations, solving issues where the root cause is not always obvious. You will work these issues to resolution or alternatively a fully-documented handoff that engineering can act on without delay. As a Customer Reliability Engineer, you'll partner closely with the Customer Success Team, Support Team, and Product/Engineering to close the gap between "customer has described a problem" and "engineering has what it needs to fix it." This role reports directly to the Customer Reliability Engineer Team Lead. Key Responsibilities Own high-severity, post-sales technical escalations from intake through resolution or engineering handoff. This includes deep-dive investigations and reproduction of difficult-to-isolate bugs. Get on calls with customers, pull logs, and communicate with the customer about leading theories. Build engineering handoff packages that require minimal follow-up questions: reproducible case, log evidence (timestamps, node IDs), version matrix, impact scope, what's already been ruled out, and a proposed engineering team to own the fix. File and track issues for confirmed bugs, keeping the ticket/issue link intact so engineering retains full customer context. Monitor for patterns across escalations to catch recurring or systemic issues early; translate what you learn into product improvements, tooling, and runbooks that raise the technical bar for the whole Support org. Partner with Support, CSE, and Product/Eng, while staying within this team's scope. What We Are Looking For 4+ years in a technical support or escalation role at a SaaS or infrastructure company, with demonstrated ownership of escalated/enterprise-tier accounts. A genuine problem-solver who gets energy from untangling hard, ambiguous technical issues Comfortable owning a live, high-stakes customer call: staying calm, building trust, and communicating clearly with a frustrated or technical customer under pressure. Hands-on networking experience in production or homelab environments: TCP/IP, routing, DNS, firewalls, NAT, VPNs, load balancers. Deep familiarity with overlay networking concepts — WireGuard, UDP hole punching, STUN — and comparable VPN/networking products. Code-level debugging capability: can read Go source, reason about goroutines/locks/channels, read pprof CPU/heap profiles, and understand network interface semantics. Comfortable with infrastructure concepts: cloud IaaS, CI/CD pipelines, containerized applications, and Kubernetes debugging. Strong systems administration skills as well as troubleshooting across Linux, macOS, and Windows. Track record of independently building reproducible test cases and clear, evidence-backed bug reports engineering can act on directly. Strong technical storytelling: able to distill highly technical, ambiguous issues into clear narratives for both engineers and non-technical stakeholders. Investigative mindset; curious to analyze root cause, and evaluate all options to get customers to the best solution Proficiency with programming/scripting in Go, Python, JSON Experience with packet-level analysis As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $154,100 — $192,960 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .