Вакансии

Требуется специалист на позицию Senior AI/ML Engineer. Требуемые навыки: — Python — OpenCV — Deep Learning — Компьютерное зрение — Agentic systems — FastAPI — Langgraph — DeepEval — Langfuse — vLLM Вакансия предполагает полный рабочий день с возможностью удалённой работы.

Задачи: • Формировать AI-стратегию и roadmap бизнес-направления. • Находить наиболее перспективные точки применения AI. • Самостоятельно запускать первые прототипы и AI-пилоты. • Быстро проверять гипотезы и показывать первые измеримые результаты. • Создавать AI-агентов, RAG-решения и AI-автоматизации. • Формировать и приоритизировать портфель AI-инициатив. • Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования. • Переосмысливать бизнес-процессы с учетом возможностей AI. • Работать с руководителями бизнес-направлений и защищать AI-инициативы. • Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах. Требования: • 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation. • Практический опыт запуска AI/ML или технологических продуктов. • Сильное понимание LLM, Generative AI, AI Agents и RAG. • Способность самостоятельно собрать работающий AI-прототип. • Product mindset и ориентация на быстрый результат. • Стратегическое мышление и способность формировать AI-roadmap. • Умение связывать технологии с конкретным бизнес-эффектом. • Опыт работы с руководителями и топ-менеджментом. • Высокая самостоятельность и ответственность за результат. AI-инструменты и технические навыки: • Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM. • Работа с LLM API, Prompt Engineering, Tool/Function Calling. • Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов. • Практическое понимание RAG, embeddings, vector databases. • Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов. • Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов. • Опыт работы с n8n, Make или другими инструментами автоматизации. • Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных. Кого мы ищем: • Не классического бизнес-аналитика или координатора. • Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой. Главный результат: • Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What you'll do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage. Develop end-to-end solutions across the tech stack, setting the example for engineering excellence, and provide mentorship and direction that fosters continuous improvement and innovation in the team. Partner with Security, Compliance, and Legal teams to ensure adherence to data protection standards, and champion high availability and fault tolerance through comprehensive monitoring, alerting, and incident response practices. Drive architectural decisions and roadmap planning that ensure efficiency, scalability, and high performance, and evaluate build-vs-buy trade-offs, integrating vendor solutions where appropriate. Collaborate with data scientists and machine learning teams to evolve infrastructure that supports advanced analytics and AI initiatives, serving as a key contributor to strategy, tooling, and platform enhancements for ML-related workloads. Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success, and establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity. What you need 8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level. Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks. Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services. Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information. Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels. A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization. A Master's degree in Computer Science, Engineering, or a related field is preferred. Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Sales Enablement Specialist to support the day-to-day enablement needs of our Go-To-Market (GTM) organization. Reporting to the Head of Sales Enablement, you will manage core enablement systems, run role-specific new hire onboarding, organize and execute trainings, build the reporting that shows how enablement is landing with the field, and help keep the enablement team operating smoothly. This is a great role for an enablement practitioner who enjoys variety — one day you’re pulling a Gong and Mindtickle report — translating data to strategic action, the next you’re running a live onboarding session with new hires, and the next you’re partnering with Marketing on a launch. If you’re organized, resourceful, and energized by helping the sales team succeed, this role is for you. RESPONSIBILITIES Systems & Administration - Own day-to-day administration of Mindtickle and other enablement systems: content, users, assignments, and reporting. - Keep enablement systems organized, up to date, and easy for the field to navigate. - Troubleshoot access and content issues, and act as the go-to point of contact for tool support. New Hire Onboarding & Ramp - Build and run role-specific onboarding programs for new Sales and GTM hires, from curriculum design through live facilitation. - Meet regularly with new hires throughout ramp to check progress, answer questions, and be their go-to guide through onboarding. - Directly train new hires on core systems and processes (e.g., Salesforce, Mindtickle, Gong, and sales workflows) as part of onboarding. - Arrange and coordinate subject matter experts from Sales, Product, and other teams to support onboarding training and education needs. - Maintain onboarding curricula and materials, updating them as products, tools, and processes evolve. - Track new hire progress and readiness, flagging gaps to managers and enablement leadership. Sales Insights & Reporting - Build, monitor, and maintain reporting on enablement program participation, completion, and effectiveness across Mindtickle and other systems. - Partner with Sales leadership to translate Gong call analytics and other field data into actionable insights on rep performance, messaging adoption, and skill gaps. - Use enablement and conversation intelligence data to identify where the GTM team needs more support, and recommend enablement programs to close the gaps. - Present reporting and insights to enablement and Sales leadership to inform program priorities. Training & Program Execution - Organize and execute ongoing sales enablement trainings, workshops, and certifications for the field. - Handle logistics for enablement programs: scheduling, communications, materials, and follow-up. - Create sales enablement content as needed — quick-reference guides, updates, and job aids. Cross-Functional Support & Operations - Work cross-functionally with Marketing, Product, and other stakeholders to support enablement needs. - Support the operational backbone of the Enablement team: calendars, budgets, and program tracking. - Gather feedback data to help the team continuously improve programs. QUALIFICATIONS Required - 2+ years of experience in sales enablement, sales operations, learning & development, or a related role, ideally in SaaS. - Hands-on experience administering an LMS or sales enablement platform (Mindtickle strongly preferred). - Experience supporting or running onboarding programs for a sales or GTM team, including live facilitation. - Experience building or interpreting reporting on enablement participation, completion, and program effectiveness. - Familiarity with conversation intelligence platforms such as Gong (or similar), and using call data to surface coaching and enablement insights. - Strong organizational and project management skills — you can juggle multiple programs and deadlines. - Comfortable creating content, including documents, guides, and presentations. - Excellent communication skills and a service-minded, “how can I help” approach to the field. - Ability to work cross-functionally with Marketing, Product, and Sales leadership. Strongly Preferred - Direct experience administering Mindtickle and Gong (or a similar sales engagement/conversation intelligence platform). - Experience designing or facilitating live or virtual sales training sessions. - Familiarity with sales methodologies such as Command of the Message or similar frameworks. - Comfort working with reporting or BI tools (e.g., Excel, Google Sheets, Tableau, Sigma) to build enablement dashboards. - Exposure to containerization, DevOps tooling, or developer platforms (Docker experience a significant plus). WHAT TO EXPECT We believe in setting people up to win. Here’s what great looks like in this role: FIRST 30 DAYS — LEARN & LISTEN - Ramp on Docker’s products, GTM motion, and current enablement programs and systems. - Shadow onboarding sessions and get hands-on in Mindtickle and Gong. - Build relationships across Sales, Marketing, Product, and the Enablement team. FIRST 90 DAYS — TAKE OWNERSHIP - Own day-to-day Mindtickle administration and at least one full onboarding cohort, including live sessions and 1:1s with new hires. - Stand up an initial enablement reporting view covering participation, completion, and Gong-based insights. - Independently execute a training or certification program for the field. FIRST YEAR — DRIVE IMPACT - Be the trusted owner of enablement systems, onboarding, and reporting, with new hires ramping faster and leadership relying on your insights. - Run trainings and programs independently and be seen as a dependable Enablement partner. - Use enablement and Gong data to proactively recommend where the GTM team needs more support. Docker does not offer visa sponsorship for this role.   Compensation & Equity Canada: CA$135,100– CA$193,000 + equity United States: $97,300 – $139,00 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

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. Grafana Labs is looking for a Senior Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across the West region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. Responsibilities Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests Requirements 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal In the US, the OTE compensation range for this role is $260,000 - $300,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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. *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: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a technically-minded product designer who is excited to shape how design, code, and AI-powered workflows come together at Figma. In this role, you'll improve how Figma understands production code and design systems, design workflows that move from design to code and back again, and extend Figma's agentic capabilities into developer tools and the places teams already work. You'll turn ambiguity into clarity alongside engineers, PMs, and researchers, bringing simplicity and craft to complex technical problems as we help define the future of how software is made. This is a full-time role that can be held from our London hub or remotely within the UK. What you'll do at Figma: Shape and prototype new workflows that bring design and production code closer together, including AI-powered experiences that connect Figma with the tools teams already use to build Contribute to overall strategy and decision-making about product direction Help deliver and refine clear storytelling around product needs and opportunities Work cross-functionally with product management, engineering, UX writing, data science, and research peers Create and iterate on flows, prototypes, and high-fidelity visuals, as well as provide thoughtful feedback for others doing the same so you can all do your best work Design and ship high-quality features and product improvements in Figma's core product surfaces Contribute to our design org's culture by participating in design critiques, mentoring peers, and sharing best practices across teams We'd love to hear from you if you have: 3+ years of experience designing UX and UI for software products of similar scale and complexity Strong visual craft and attention to detail across composition, typography, layout, interaction design, and prototyping Proven ability to independently drive end-to-end design processes from discovery through launch, balancing user needs, technical constraints, and business goals Ability to guide decision-making through structured thinking, clear design rationale, and user-centered research Experience designing technically complex products, ideally developer tools or extensible platforms, with an understanding of software development workflows, APIs, and systems; experience prototyping and evaluating AI-powered or nondeterministic interactions is a plus While it's not required, it's an added plus if you also have: Familiarity with web technologies like HTML/CSS, AI coding tools such as Codex, Cursor, or Claude Code A strong understanding of advanced Figma features like Auto Layout, Variables, and Components Hands-on experience building with web technologies, APIs, CLIs, MCP, model evals, or other tools used to create developer and AI products A history of working on canvas-based interfaces or tools that support creative workflows Prior work involving design systems, like creating, maintaining, or contributing to a design system At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale. The Arango Contextual Data Platform connects...

Location: San Francisco, California 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: This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. You’ll build the systems that let any knowledge worker leverage fast, scalable databases without having to become a DBA. You’ll be a hands-on technical leader, helping set the architectural direction and roadmap as we take a new product from early alpha to general availability. You’ll work directly with early customers to shape foundational technical and product decisions. Then, together, we’ll work on scaling as adoption and workloads grow. This is a backend-leaning role with work spanning the stack. You might build the systems that provision and manage a fleet of customer Postgres instances, design how user-defined schemas evolve safely, or make complex queries execute efficiently. You’ll also follow those systems into the product: improving how a table loads, how users understand a slow operation, or how an agent safely works with their data. You’ll help shape the architecture and the product together. Some problems call for a better abstraction, others for a better default, and others for rethinking what we ask the user to do in the first place. You’ll work with teammates and customers to find those answers, ship practical solutions, and evolve them as usage grows. Our stack includes Postgres, Go, TypeScript, Node.js, and React. ABOUT THE TEAM: The people who understand a business best aren’t always the people who can build its software. A support lead knows how tickets should be triaged. An operations manager knows how inventory should move. But turning that knowledge into a reliable system often means finding an engineer, provisioning a database, and building an application. We’re building database infrastructure for everyone else. We want everyday knowledge workers to bring their data into Notion, connect it, and build workflows around it. And do so with the power of a real database (Postgres!) and the approachability of a tool they already know. AI agents make that opportunity even bigger: helping people build and operate systems they couldn’t have created on their own. For our team, this is much more than putting a friendly interface on Postgres. It means making hard database problems disappear from the user’s workflow without sacrificing correctness, performance, or flexibility. How do you let someone reshape a live database as easily as editing a document? Make the right indexes exist without asking someone to become a DBA? Let a weekend experiment grow into a company’s system of record without anyone having to rearchitect it? WHAT YOU'LL ACHIEVE: - Take a new product from alpha to general availability. Work with early customers to understand what matters, iterate on feedback, and help shape what we ship. - Make real customer workloads fast. Improve query execution, indexing, and client data loading so performance holds up as datasets grow and workflows become more demanding. - Build systems businesses can trust with their data. Make schema changes, concurrent writes, permissions, and recovery reliable enough for customers to build essential workflows on top. - Make powerful capabilities approachable. Turn database provisioning, migrations, and indexes into a reliable, easy-to-use product experience that gives people the power of a database without the burden of managing one. - Build for the customers who come next. Automate database provisioning and fleet operations, strengthen observability, and evolve the architecture so we can serve many, many customers. SKILLS YOU'LL NEED TO BRING: - Production relational database experience (e.g., Postgres or MySQL). You’ve made decisions about schemas and indexes, analyzed database performance, and debugged issues involving transactions, locking, or concurrency. Your experience goes beyond accessing a database through an ORM. - Engineering experience and technical leadership. You bring 10+ years of experience building and operating production software, with a track record of setting technical direction and leading complex, cross-team initiatives from concept through delivery. You identify the most important problems to solve, turn ambiguous goals into a technical strategy, and align engineers and partner teams around a practical plan. You stay hands-on while helping others make better decisions through design reviews, mentorship, and clear technical guidance. - Strong backend engineering fundamentals. You’ve built services that need to remain correct under concurrency and failure. You can reason about retries, partial failures, consistency, and the trade-offs involved in reliable reads and writes. - A systematic approach to performance. You use query plans, traces, profiles, and experiments to find bottlenecks and verify improvements. You’re willing to follow a problem across storage, services, and client code rather than stopping at a team boundary. - Product judgment. You’re interested in who will use what you build, not just how it works. You can turn a customer’s problem into a technical approach and recognize when a better default or simpler workflow would solve it more effectively. - Willingness to work across the stack. You bring backend depth, but you’re comfortable learning unfamiliar systems and working in client code when that’s what delivering a good experience requires. - Fluency with AI-assisted engineering. You use AI to accelerate exploration, implementation, and testing while taking responsibility for understanding and validating the result. NICE TO HAVES: - Experience managing fleets of databases or building database platforms, including provisioning, upgrades, backups, and recovery. - Deep Postgres expertise, such as advanced query optimization, performance tuning, or workload isolation for large datasets and high-concurrency workloads. - Experience building query layers, sync engines, change-data-capture pipelines, permission systems, or other reusable data abstractions. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $234,000 – $352,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: Twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $175,000 – $250,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Metro Manila; Armenia; Bangkok; Kazakhstan; Georgia; Da Nang Workplace: OnSite 📍 Manila, Philippines | Relocation required Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll build Salmon's digital employer brand engine — getting the specific talent we want to hire onto our radar and converting online attention into qualified candidates. What you'll do: - Turn Salmon's EVP into targeted campaigns for the segments we actually want to hire — Engineering, Data, Product, across local and global markets — and run them across LinkedIn, Telegram, Instagram, TikTok, Reddit, and the other channels where that talent spends time. - Build digital funnels end to end — audience segmentation, campaign mechanics, landing pages, lead capture, retargeting, and conversion — using AI and automation to run research, content, and reporting faster and more scalably. - Turn strong employees into digital ambassadors and grow Salmon's presence in the online communities where target talent already spends time — and work with Recruiting on candidate quality, objections, and funnel drop-off to keep improving hiring conversion. What you'll own: - Own the digital employer brand strategy and execution across priority markets and talent segments, activating the EVP across every candidate-facing touchpoint. - Run LinkedIn organic and paid — audience targeting, testing, optimisation, and reporting — and build presence in relevant Telegram channels and professional groups. - Build platform-native employer brand presence on Instagram (incl. Threads), TikTok, Reddit, and niche communities where talent researches careers, companies, and relocation. - Develop employee digital advocacy: identify the right ambassadors, shape content with them, and help them build a credible external voice. - Design talent-marketing funnels, campaign landing pages, and candidate journeys from first interaction to recruiter handoff — and keep career-site and job-board presence fresh and converting. - Manage online reputation and brand mentions across search, communities, and review platforms — and own the analytics that tie digital activity to qualified candidate outcomes, from reach through to hire. What makes you a strong fit: - Strong experience in employer brand, talent/recruitment marketing, digital or growth marketing, or audience development — with the ability to build positioning and campaigns for specific audiences. - Deep understanding of digital channels and their mechanics, especially LinkedIn organic and paid, and how audiences behave differently across platforms. - Proven ability to build and optimise digital funnels and performance — not just run a content calendar — connecting digital activity to candidate quality and hiring outcomes. - Hands-on experience with UGC and employee advocacy, plus creating or launching landing pages and lightweight journeys with no-code tools or a CMS. - AI-native: you use AI tools, agents, and automation by default to scale research, content, analytics, and repetitive work. - An owner, builder, and strong executor who takes a direction from 0 to 1 and keeps tuning it — works hands-on, decides on data, and re-prioritises quickly. English C1. What we offer: OWNERSHIP AND FLEXIBILITY - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene HEALTH AND TIME OFF - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila RELOCATION AND FAMILY SUPPORT - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 GROWTH AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We’re looking for a Software Engineer to join our Platform team. You will build the observability systems that give Vercel visibility into how we build, ship, and operate our systems. Core Platform owns Vercel’s reliability, resilience, and engineering velocity. We’re looking for engineers to create observability for everything from cost attribution to deployment velocity, alongside the logs, metrics, and traces necessary to optimize how Vercel builds its systems. This is a role with a wide breadth where we quickly develop critical systems and improve the entire Vercel code base. You will report to Eric Larson, Engineering Manager, Platform and will be located onsite, hybrid, or remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. What you'll do Design and build high-scale, internal observability systems (metrics, logs, and traces) that give engineering and the business visibility into Vercel's own infrastructure. Build cost attribution and chargeback tooling so spend can be accurately mapped to the parts of the business driving it, reducing reliance on third-party tools like Datadog. Partner with Backend and Platform teams to instrument services for compliance, auditing, and record-keeping requirements. Evaluate, integrate, and help operate observability infrastructure across our existing vendors and the CNCF ecosystem. Ship pragmatic, high-leverage visibility quickly that drives improvement in how we build, deploy, and operate our systems. Work closely with Backend and Platform engineers to scale observability infrastructure to the throughput and cardinality of Vercel's full production traffic. What you need Proficient in TypeScript, with backend/infrastructure experience. Hands-on experience with Go, Rust, or Zig in production systems. Experience with distributed computing systems at scale. Experience with cloud infrastructure, including object storage. Familiarity with observability tooling and concepts (Datadog, Grafana, New Relic, Splunk, or CNCF-based stacks such as Prometheus-compatible backends). Bonus if you Have contributed to or worked closely with CNCF observability projects. Built, scaled, and improved internal developer platforms. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000-$312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

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 position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. 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. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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 position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. 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. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  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: San Francisco, California 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 This is an opportunity to serve as a key partner and advisor on Notion’s Business Operations team, working primarily with our Engineering, Product, & Design teams. Business Operations is a cross-functional team that partners with senior leaders across the company, focusing on high-impact strategic projects and analysis. In this role, you’ll work hand-in-hand with leadership to identify, structure, and act on the most challenging strategic and operational questions impacting our business. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Build trusted relationships with cross-functional leaders to define and implement strategy across all Notion products, driving increased value to our users and our business - Structure complex, ambiguous strategic problems for the Notion leadership team, defining clear hypotheses and building detailed business cases and quantitative models that will inform and influence our approach - Work closely with cross-functional leaders to define and manage key drivers of business performance, identifying areas of opportunity and incorporating them into your work - Develop a comprehensive understanding of our competitive positioning by using, assessing, and developing insights about peer businesses to inform your recommendations - Deeply understand Notion customers and the broader market landscape to uncover insights that inform your recommendations - Create scalable solutions that combine a broad vision for what is possible with an understanding of the practical demands that constrain them SKILLS YOU'LL BRING - 5+ years of strategy experience, including 2+ years of experience in management consulting or a related field - Excellent quantitative and financial modeling skills, with the attention to detail and quality bar required for decisions that affect products and the business - Outstanding executive-level written and verbal communication skills; can operate independently with senior stakeholders and manage relationships, deliverables, and timelines with minimal supervision - Genuine enthusiasm for and proficiency with AI tools; we use AI across the board to move faster and work smarter, and you do too - Hands-on fluency with modern AI tools such as Notion AI, Claude, ChatGPT, or similar; you actively experiment with new models and workflows and use judgment to apply them responsibly - Data self-sufficiency, including working knowledge of SQL and the ability to access, assess, and synthesize relevant data without relying on outside support - Comfort working in a high-growth, constantly changing environment with passion and enthusiasm NICE TO HAVES - Prior experience in strategy and operations in B2B SaaS businesses - Experience with pricing & packaging, especially for AI products Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $175,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Переводить бизнес-задачи в архитектурные и технические решения — Развивать AI-продукты, интеграции, новые каналы и источники данных — Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику — Декомпозировать разработку на проверяемые задачи для AI coding agents — Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений — Отвечать за стабильность, безопасность и конечный результат Требования: — Опыт промышленной разработки от 3 лет — Бэкграунд в аналитике данных, BI или системном анализе — Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами — Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов — Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP — Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования — Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации — Системное мышление, самостоятельность и ответственность за продукт целиком Будет преимуществом: — Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification) — Опыт создания evals, guardrails и контроля качества AI-ответов — Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями Условия: — Конкурентную заработную плату (обсуждается индивидуально) — Профессиональный рост и участие в масштабных проектах — Работу в крупном холдинге с активной цифровой трансформацией — Сильную ИТ-команду и поддержку руководства — Необходимость краткосрочного приезда в солнечный Ташкент для оформления

Задачи: — Переводить бизнес-задачи в архитектурные и технические решения — Развивать AI-продукты, интеграции, новые каналы и источники данных — Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику — Декомпозировать разработку на проверяемые задачи для AI coding agents — Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений — Отвечать за стабильность, безопасность и конечный результат Требования: — Опыт промышленной разработки от 3 лет — Бэкграунд в аналитике данных, BI или системном анализе — Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами — Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов — Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP — Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования — Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации — Системное мышление, самостоятельность и ответственность за продукт целиком Будет преимуществом: — Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification) — Опыт создания evals, guardrails и контроля качества AI-ответов — Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями Условия: — Конкурентную заработную плату (обсуждается индивидуально) — Профессиональный рост и участие в масштабных проектах — Работу в крупном холдинге с активной цифровой трансформацией — Сильную ИТ-команду и поддержку руководства — Необходимость краткосрочного приезда в солнечный Ташкент для оформления

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Задачи: • Проектирование и разработка сложных Агентных и AgenticRAG систем. Обеспечение воспроизводимости и отказоустойчивости • Разработка решений начиная от прототипа, заканчивая выводом в промышленную эксплуатацию • Определение ML SysDes решения с учетом разрешенного технологического стека • Участие в валидации и автомониторинге моделей, проведение A/B тестирования Требования: • Высшее образование в сфере компьютерных наук, физ-мата, прикладной математики и информатики. Приветствуются дипломы ведущих технических и научных ВУЗов (МФТИ, МГУ, Сколтех, ВШЭ, ИТМО, МИФИ и др.) • Знание мат. статистики, классического ML, NLP, опыт в постановке и интерпретации экспериментов • Опыт e2e-разработки ML/AI-пайплайнов (в т.ч. RAG-пайплайнов) и проектировании архитектуры AI решений • Умение переводить бизнес-постановку задачи в ML-постановку • Высокий уровень владения Python и SQL • Знание фреймворков, библиотек, алгоритмов машинного обучения: XGBoost, CatBoost, PyTorch, TensorFlow, Transformers • Знание принципов построения RAG, VisionRAG и AgenticRAG систем • Знание архитектур нейронных сетей: RNN, LSTM, трансформеры (BERT, BART, T5) • Знание агентных архитектур (ReAct, Multi-agent и др.) • Знание фреймворков для работы с LLM (LangChain, LangGraph и др.) • Знание веб-фреймворков (FastAPI, Flask), контейнеризации (Docker) • Понимание жизненного цикла моделей (CRISP-DM) Условия: • Гибкий гибрид (обсуждаем индивидуально) • Современный IT-офис вблизи Москва-Сити с фитнес-залом • Ипотека с выгодой для сотрудника и льготные условия кредитования • Бесплатная подписка СберПрайм+ • Скидки на продукты компаний-партнеров • ДМС с первого дня и льготное страхование для близких • Корпоративная пенсионная программа • Обучение за счет компании: онлайн курсы в онлайн-школе Сбера и неограниченный доступ к библиотеке, обучение в Корпоративном университете, тренинги, митапы и возможность получить новую квалификацию • Крупнейшее DS&AI Community — более 600 DS банка, регулярный обмен знаниями, опытом и лучшими практиками, интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний, дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира