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Location: Dublin, Ireland Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters WHAT YOU'LL ACHIEVE - Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments, with review and mentorship from senior teammates as you ramp up. - Contribute to the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. - Build tooling and automation that speed up triage, enrichment, investigation, and detection authoring, including LLM-based workflows where useful. - Turn threat intelligence and adversary TTPs into detections, telemetry requirements, and response improvements. - Take part in investigations, incident response, and postmortems, and help turn what we learn into lasting fixes. - Help define and track metrics such as coverage, MTTD, and alert quality. - Join a shared on-call rotation for incident response. SKILLS YOU'LL NEED TO BRING - We're hiring across a range of experience levels. If you have some of these skills but not all, we'd still like to hear from you. - 3+ years of experience in detection engineering, security operations, incident response, threat hunting, or a closely related security or software engineering role. - Have written or tuned detections that run in production, and care about signal quality and cutting noise. - Working knowledge of at least one detection or query language (Sigma, KQL, SPL, YARA-L, EQL, or Panther), or strong SQL or Python skills and the drive to learn one quickly. - An understanding of how attackers operate (for example, MITRE ATT&CK), and the ability to use it to decide what to detect. - Hands-on experience with AWS, GCP, or Azure, ideally including identity and access logs. - Have used SIEM, EDR, or SOAR tools in any size of environment. - Write clearly in runbooks, design docs, and incident notes, and can own well-scoped projects end to end. NICE TO HAVE - Have led purple team, blue team, or adversary emulation exercises that improved detections or telemetry. - Experience running SIEM, EDR, or SOAR platforms at large scale. - Experience building or maintaining detection-as-code workflows (version control, CI, and tests for detections). - Experience applying LLMs or agent-style tooling to security workflows. - Experience securing AI-enabled systems or endpoint tooling. - Kubernetes or container detection experience. - Background in threat intelligence, malware analysis, or digital forensics. - Contributions to the security community through research, tooling, CTFs, or talks. - Experience at a high-growth startup or AI company. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated base salary range for this role is €75,000–€142,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE WorkOS has a strong bottom-up, developer-focused GTM motion. Our growth team sits at the center of it, running the campaigns, events, and demand programs that put WorkOS in front of technical buyers. As those programs have grown, so has the volume of work that makes them happen, and we're looking for a Growth Marketing Generalist to own it. This is a hands-on execution role. You'll work across campaign management, events, and content, taking programs from brief to live and getting the details right. One week that means running a developer event in San Francisco; the next, pulling together campaign assets. You'll get clear direction and real ownership. This is a great fit if you like variety, move fast, and want to build range across every part of a growth function. You'll work directly with the Growth lead and partner closely with sales, design, and product. You don't need to have marketed to developers before, though it's a plus. What matters is that you come from a technical or B2B software environment where you understood what the product did and who was buying it. RESPONSIBILITIES - Events and Field Marketing: Support with logistics and execution of our developer events, conferences, and dinners, including venue and vendor coordination, invite and registration flows, on-site support, and follow-up. - Project Management: Own timelines for creative assets and copy for growth programs (e.g. newsletter sponsorships), keeping designers and campaigns on schedule so deliverables are ready and submitted on time. - Copy and Content: drafting variations of email copy, social posts, invites, and event materials, keeping it clear and on-brand for a technical audience - Reporting: Track performance across programs and report on what worked, surfacing what we should do more or less of. - Measurement & Tracking: A clean tracking foundation across UTMs and campaigns so we can confidently measure performance. - Cross-functional Partnership: Work with sales on event follow-up and pipeline handoff, and with design and product on assets and messaging. - Continuous Learning: Build real knowledge of WorkOS products, our developer audience, and the AI-native companies we sell to. QUALIFICATIONS - Experience: a marketing role at a B2B software or technology company, ideally one selling to a technical audience. - Executional Strength: A track record of reliably shipping marketing work end to end, on time and with the details correct. - Project Management: Run several programs at once, keep track of the moving pieces, and follow through without needing to be chased. - Writing Ability: Clear writer who can adapt to a brand voice and write for a smart, skeptical, technical reader. - Events Experience: Hands-on experience running or supporting events, from small dinners to conferences. - Tooling: Comfortable in a modern marketing stack, including marketing automation or email tooling, a CMS, and analytics. - Domain Understanding: Enough technical context to understand what a developer tool does and why someone would buy it. - Self-starter: Previous startup experience, particularly in high-growth PLG organizations. - AI-Native: Hands-on experience building with AI-native tools, using LLMs, agents, and automation in your own marketing workflows. - Bonus: Experience marketing developer tools, infrastructure, or API products. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Australia Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Support team is at the heart of Attio’s customer experience — maintaining an exceptional 98% CSAT average over the past six months. We hold ourselves to an incredibly high standard at every stage of the customer journey, ensuring that every interaction reflects our commitment to clarity, care, and quality. As a Technical Support Specialist, you’ll be the trusted voice of Attio to our customers — helping them solve problems, unlock value, and feel supported every step of the way. You’ll troubleshoot technical issues, share product best practices, and act as the customer’s advocate across teams. This is a role for someone who thrives on problem-solving, loves getting into the details, and finds genuine satisfaction in turning a complex issue into a seamless experience. You’ll play a key role in maintaining the standards that make our customers love Attio — and help us set a new benchmark for excellence in B2B SaaS support. This is Attio’s first hire in the APAC region, offering a unique opportunity to help establish our presence in Australia. As such, we’re looking for a self-starter who’s comfortable working autonomously, taking ownership, and navigating ambiguity in a fast-paced environment. WHAT YOU'LL DO In this role, you’ll take ownership of the technical and operational processes that keep our customers successful. You’ll combine empathy, product expertise, and clear communication to deliver best-in-class support. Customer support excellence: Provide fast, high-quality support across email, chat, and video, maintaining strong CSAT and meeting SLAs across APAC hours. Advanced technical troubleshooting: Diagnose and resolve complex issues across Attio’s API (REST payloads, authentication, error handling), webhooks, SDKs, and integrations — identifying root causes rather than surface-level fixes. Multi-system debugging: Investigate issues spanning Attio and third-party platforms, interpreting logs, error outputs, and system behaviours to triage effectively before escalating to Engineering. Automation & workflow support: Advise on and troubleshoot customer-built automations (e.g. Zapier, Make, n8n), diagnosing failures and recommending improvements, while supporting equivalent builds within Attio’s native workflows. AI & integrations support: Troubleshoot MCP server connections and support customers integrating Attio into AI-powered workflows and toolchains. Autonomous regional ownership: Act as the primary technical support contact for APAC, independently managing a wide range of queries — from foundational product questions to complex technical investigations. Customer advocacy: Surface recurring issues, patterns, and product feedback from the APAC region, acting as the voice of the customer to Support, Product, and Engineering. Process and knowledge improvement: Contribute to Help Center content, internal documentation, and support workflows, continuously improving how we operate. Product mastery: Build deep expertise in Attio’s product, APIs, and integrations, staying ahead of new features to support customers with confidence. WHAT YOU’LL BRING We’re looking for a customer-obsessed problem solver who combines technical curiosity with empathy and a love for helping others succeed. Proven experience: 2+ years in a technical support or customer support role within SaaS, ideally in a startup or high-growth environment. Strong technical depth: Experience troubleshooting APIs, integrations, and workflows; comfortable working with logs, debugging issues, and understanding system behaviour. Automation experience: Familiarity with tools such as Zapier, Make, or n8n — either supporting customers or building automations directly. AI & modern tooling curiosity: Experience with AI-powered workflows and emerging technologies. Independent operator: Comfortable working autonomously, making decisions, and managing complex issues without constant oversight. Excellent communication: Able to explain complex technical concepts clearly and concisely, both written and verbally. Customer empathy: Strong instinct for understanding customer needs and delivering thoughtful, high-quality solutions. Curiosity and initiative: Proactive, detail-oriented, and motivated to continuously learn and improve. Collaborative mindset: Works effectively with Support, Product, and Engineering to deliver a seamless customer experience. WHAT WE OFFER - Equity in an early-stage tech company on an incredible trajectory - 12% Superannuation contribution - 25 days holiday plus local public holidays - Apple hardware - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) WHAT DOES THE HIRING PROCESS LOOK LIKE? Applicants can expect the following: - Initial Conversations - 30-minute introductory chat with a member of our Talent team - 30-minute track record interview with our Technical Support Specialist Manager - Core Interviews - Take-home technical exercise - 45-minute team panel interview to assess skills and collaboration style - 30-minute executive interview focused on impact and alignment with company goals - Final Stage - 30-minute closing conversation with our CEO - Offer call (if it’s a mutual fit)

About the role We’re hiring a Staff Product Manager to own the product experience for pre-boarding and onboarding — one of the highest-leverage moments in the employee lifecycle — across Deliveroo, DoorDash and Wolt.

We are looking for a Senior Jira Cloud Administrator with strong automation and integration skills to own our Atlassian Cloud ecosystem and connect it with the rest of our business tools. This role combines Jira Cloud administration with hands-on integration engineering.

About the Role Rain is hiring a Senior Product Manager to own cards — one of the most strategically important surfaces at the company. Cards are how stablecoins meet real-world spend, and this role will shape the product, platform, and growth decisions that define that experience for our partners and their end users.

подготовка регулярных выгрузок по продажам и ключевым коммерческим показателям; Выгрузка, ведение и план-факт анализ бизнес-плана: РТО, объём, цена, маржа, скидки,выявление причин отклонений;

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: India Workplace: remote Overview   We are looking for a Senior SDET to test the resilience and correctness of distributed backend systems supporting a high-stakes account provisioning and onboarding workflow. This role is focused on the execution of pre-approved, benign tracer/replay scenarios against staging endpoints, analysis of request/response behavior, and documentation of observable account/CID lifecycle and downstream state behavior. The ideal candidate has strong distributed-systems and API-testing experience and maintains disciplined technical evidence capture and traceability. This role is not intended to perform unrestricted adversarial testing. Testing activities will be limited to approved staging environments and pre-approved benign scenarios.   Project Details   • Title: Senior SDET • Rate: $13.5/hr • Start Date: 26 October • Duration: 5 Weeks • Commitment: 33 Hours per Week • Location: India (Remote) • Job Type: Freelance (with the possibility of full-time employment based on performance and project needs) Responsibilities • Analyze distributed system APIs to validate correctness, consistency, and failure handling across services involved in account creation, data persistence, and related record-linking • Execute pre-approved request variations and boundary-validation scenarios using sanitized tracer payloads against designated staging endpoints • Investigate system behavior under malformed, malicious, or unexpected inputs and document findings clearly • Capture complete request/response evidence, including HTTP status codes, latency, headers, and payload bodies, subject to approved data-handling requirements • Validate behavior of near-real-time inline checks (evaluated within milliseconds at the gateway) as distinct from longer-running background verification/risk pipelines (evaluated over minutes to hours), confirming each layer of defense behaves as expected • Verify data persistence, referential integrity, and correct linkage of related records/relationships written by backend services during processing • Execute controlled replay suites and compare expected versus observed API behavior • Correlate replay results with the API schemas and network evidence produced by the Middleware SDET • Document observable account/CID lifecycle behavior and downstream state changes for handoff • Capture and archive test logs and evidence in a structured, retrievable format to support audits and post-incident reviews • Collaborate with backend engineering teams to reproduce, isolate, and validate fixes for distributed-system defects • Contribute to test strategy for backend/middleware reliability, including failure-mode and chaos-style testing • Maintain traceability between test evidence, defects, and system requirements • Reconcile backend observations with the frontend FSM and middleware/API evidence produced by earlier workstreams Required Qualifications • Strong experience of 5-8+ years in testing distributed systems and analyzing inter-service API behavior • Hands-on experience with request payload tampering, fuzzing, or adversarial API testing techniques • Understanding of layered defense architectures, including the distinction between synchronous/inline validation and asynchronous/background verification processes • Familiarity with testing data persistence and relational/hierarchical integrity in backend data stores • Demonstrated discipline in test log archival, evidence capture, and structured documentation practices • Solid understanding of backend/middleware architecture, failure modes, and system boundaries • Familiarity with API testing tools and scripting for building custom fuzzing/tampering test cases • Strong analytical and investigative skills for root-causing complex, systemic defects • Experience executing controlled API replay or staging validation is strongly preferred • Experience correlating API responses with observable application/account lifecycle states is preferred • Experience supporting audit, compliance, or evidence-based reporting requirements is a plus #L1-CC1 Why join Welo Data?   ✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.   🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.   🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.     We can’t wait to meet you!     About Welo Data   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.

Location: India Workplace: remote Job Overview  Welo Global is hiring an SDET (Software Development Engineer in Test) to bring deep technical rigor to middleware-layer testing. This role requires strong technical expertise across gRPC-Web, Proto3, HTTP/2, JSON-RPC/REST, proxy-based traffic inspection, and API scripting. The primary responsibility is to observe and reconstruct the network interactions generated by the onboarding UI, including request/response structures, schemas, headers, identifiers, Enums, and client-injected parameters. This is primarily an API/network analysis and evidence-generation role rather than a conventional UI automation or regression-testing role. The resource will produce sanitized network evidence and controlled, benign tracer replay scripts for downstream backend validation. Project Details Title: SDET - API/Middleware Rate: $9.50/hr Start Date: 26th October Duration: 5 Weeks Commitment: 35 Hours per Week Location: India (Remote) Job Type:Freelance (with the possibility of full time employment based on performance and project needs in all opportunity) Responsibilities • Design, build, and maintain automated API test suites covering gRPC-Web, Proto3, HTTP/2, and JSON-RPC/REST-based services • Export clean, sanitized HAR/network evidence while maintaining traceability between UI actions and corresponding network requests • Map relevant schemas, headers, identifiers, routing information, and client-injected parameters • Use proxy tools such as Mitmproxy, Charles Proxy, and browser DevTools to inspect, intercept, and validate network traffic between client and server • Develop and maintain API automation scripts using Python, Postman, and cURL for functional and regression testing • Analyze protocol-level request/response behavior to identify defects related to serialization, encoding, and transport • Inspect and validate request payload structure, including system-level headers (e.g., auth tokens, routing identifiers) and internal/hidden parameters, ensuring correct handling under both valid and malformed conditions • Collaborate with backend and middleware engineers to define testable contracts and edge-case scenarios • Continuously improve test automation frameworks for reliability, speed, and maintainability • Document technical findings, automation coverage, and known protocol-level limitations Required Qualifications • Strong hands-on expertise of 3-5+ years with gRPC-Web, Proto3, HTTP/2, and JSON-RPC/REST protocols • Proficiency with proxy/traffic inspection tools including Mitmproxy, Charles Proxy, and browser DevTools • Solid scripting/programming skills in Python, with practical use of Postman and cURL for API automation • Experience designing and maintaining automated test suites for middleware or API-layer services • Working understanding of API request structure, including headers, auth tokens, and internal/system parameters, and how to test for their correct handling • Understanding of software engineering practices as applied to test automation (version control, CI integration, code review) • Strong debugging skills at the network/protocol level • Experience analysing browser-generated network traffic and reconstructing API behaviour is strongly preferred • Experience with HAR analysis, API schema reconstruction, or controlled API replay is strongly preferred • Ability to work within approved staging/test environments and follow defined data-handling and test-authorization requirements is required #L1-CC1 Why join Welo Data?   ✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.   🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.   🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.     We can’t wait to meet you!     About Welo Data   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.

Location: India Workplace: remote Overview   We are seeking a Lead SDET (Software Development Engineer in Test) to provide end-to-end technical governance across all QA layers - frontend, middleware, and backend - for a complex, multi-layered onboarding platform. This role owns the architecture of API contract testing and the data modeling of complex entity relationships (e.g., hierarchical/parent-child style structures), while ensuring that quality assumptions made at one layer (such as client-side validation) are independently verified at every downstream layer rather than trusted at face value. The ideal candidate combines strong technical leadership with the ability to set and enforce delivery governance across cross-functional teams.   Main Responsibilities   • Provide technical governance across frontend, middleware, and backend testing layers   • Establish and enforce QA delivery standards, evidence requirements, review processes, and quality gates   • Review frontend constraint dictionaries and FSM/state-model outputs for completeness and consistency   • Review API schema reconstructions, network evidence, and tracer replay outputs for technical quality and traceability   • Coordinate with QA Analysts, SDETs, and Test Operations Associates to align technical execution with delivery timelines   • Review test architecture decisions, validation approaches, and coverage strategies   • Coordinate dependency resolution, evidence rework, and cross-layer reconciliation throughout the engagement   • Act as the escalation point for cross-layer technical discrepancies and evidence-quality issues   • Compile and quality-check the raw technical evidence dossiers produced by the workstreams   • Identify evidence gaps, inconsistencies, or areas requiring rework before handoff to client stakeholders   • Report on delivery health, technical risks, evidence quality, dependencies, and unresolved gaps   • Prepare the technical evidence package for handoff to the client team responsible for final modelling and logic-gap assessment   • Support technical readout preparation by ensuring that findings are traceable to empirical evidence   Project Details   • Title: Lead SDET • Start Date: 26th October • Duration: 4 Months • Location: India (Remote) • Job Type: Contractual (with the possibility of a Full-time employment extension based on performance and project needs)   Qualifications   • Proven experience of 8+ years in a QA leadership role spanning multiple testing layers (frontend, middleware, backend)   • Demonstrated expertise in API contract testing architecture and governance   • Practical experience with knowledge graph or entity-relationship data modeling and its application to test/data traceability   • Strong understanding of layered system architectures and the importance of independently verifying quality at each layer rather than relying on upstream assumptions   • Strong track record of technical delivery governance, including setting standards and quality gates   • Excellent cross-functional leadership and stakeholder communication skills   • Deep technical grounding across QA disciplines (manual, automation, systems-level testing) to credibly guide teams at every layer   • Experience mentoring or managing SDETs and QA Analysts   • Experience leading complex multi-week technical QA, API validation, or security-assessment engagements is strongly preferred   • Experience establishing evidence/traceability models across complex technical workflows is preferred   • Familiarity with knowledge graphs, entity-relationship models, or structured technical dependency/evidence modeling is preferred; deep knowledge-graph engineering expertise is not required   • Ability to synthesize technical evidence into concise stakeholder-ready findings and handoff materials   #L1-CC1 Why join Welo Data?   ✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.   🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.   🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.     We can’t wait to meet you!     About Welo Data   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.

Анализ ключевых показателей эффективности подразделения, поиск точек роста; Выработка предложений по повышению эффективности продаж и продуктов;

Задачи: — Стратегическое планирование и управление полным циклом участия компании в тендерах (44-ФЗ, 223-ФЗ) — Формирование, развитие и мотивация команды тендерного отдела — Разработка и внедрение эффективных стратегий для повышения процента выигранных торгов — Анализ рынка, конкурентов и тендерной документации на предмет целесообразности участия — Контроль подготовки и подачи заявок на электронных торговых площадках (Сбербанк-АСТ, РТС-тендер, ЕЭТП) — Юридическое сопровождение тендерных процедур, взаимодействие с правовым отделом — Финансовое планирование бюджета отдела, контроль рентабельности проектов — Построение системы автоматизации и оптимизации тендерных процессов Требования: — Высшее образование (экономика, юриспруденция, менеджмент, государственное управление) — Опыт работы на руководящей должности в тендерном отделе от 3-х лет — Глубокие знания законодательства РФ в сфере закупок (44-ФЗ, 223-ФЗ) и антимонопольного права — Подтвержденный опыт успешного участия в торгах и заключения контрактов — Уверенный навык работы со всеми основными ЭТП и специализированным ПО (1С-Тендер, Power BI) — Сильные управленческие компетенции, лидерские качества, навыки ведения переговоров — Аналитический склад ума, стрессоустойчивость, ориентация на результат Будет преимуществом: — Наличие сертификатов CIPS, обучения по управлению закупками — Опыт участия в международных или ESG-тендерах Условия: — Удаленный формат работы — Оплата: оклад 120 000+ % с тендера

Задачи: — Разработка и оптимизация запросов SQL для создания отчетов на основе данных из базы данных PostgreSQL. — Понимание бизнес-требований и перевод их в технические требования и спецификации отчетов. — Визуализация и представление данных с помощью инструментов разработки отчетов, таких как Tableau, Power BI, JasperReports и других. — Тестирование и отладка отчетов для обеспечения точности данных и высокой производительности. — Сотрудничество с другими разработчиками и бизнес-аналитиками для определения оптимальных решений и создания интуитивно понятных отчетов. — Забота о безопасности данных и обеспечение соответствия политикам и требованиям конфиденциальности. Требования: — Опыт работы с PostgreSQL и глубокие знания языка SQL. — Опыт разработки отчетов с использованием инструментов разработки отчетов, таких как Tableau, Power BI, JasperReports или других. — Понимание бизнес-требований и способность перевести их в эффективные и интуитивно понятные отчеты. — Высокая визуализация и навыки работы с графиками и диаграммами для представления данных. — Умение оптимизировать запросы SQL для повышения производительности базы данных. — Опыт в тестировании и отладке отчетов для обеспечения точности и надежности данных.

- движок Unity. Очень важно иметь много свободного времени от 2-12ч в день.