Вакансии

Задачи: — Работа с вайбкодинг (vibe coding) и ИИ инструментами; — Настройка и поддержка бизнес процессов (Битрикс); — Обеспечение бесперебойной работы серверов; — Знание медицинских информационных систем. Требования: — Опыт работы не менее 2-х лет в сфере ИТ (участие в проектах внедрения, преимуществом будет опыт эксплуатации медицинских информационных систем); — Способность быстро учиться; — Ответственность и инициативность, умение самостоятельно принимать решения и нести за них ответственность; — Гибкость и адаптивность, готовность работать в условиях неопределённости и быстро менять планы; — Умение презентовать идеи; — Хорошие коммуникативные навыки, грамотная письменная и устная речь. Условия: — Плюс процент от реализации проектов; — Официальное оформление по ТК РФ; — Своевременная выплата заработной платы 2 раза в месяц, уровень заработной платы обсуждается с каждым кандидатом по итогам собеседования; — Комфортные условия труда; — Льготное медицинское обслуживание для сотрудников и членов семьи.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE The Head of Strategic Partnerships & Ecosystem will manage and grow Render's most critical technology partner relationships. This role involves building and executing a comprehensive partnerships strategy — spanning AI ecosystem integrations, hyperscalers and early bets on emerging platforms — that drives meaningful distribution and growth for Render. These partnerships touch nearly every part of Render — Product, Engineering, DevRel, and Business Development — and often involve senior stakeholders at some of the largest and fastest-moving companies in AI, so doing this well means coordinating closely across those internal teams and keeping Render's leadership regularly informed. The ideal candidate brings real technical depth in AI and developer tooling, paired with a proven background in partner management, strong relationship-building instincts, and the executive presence to engage with partner leadership at the highest levels. You should have a deep understanding of how to build and scale product-centric partnerships — from ecosystem integrations to platform-level bets — in a fast-moving, technical market. WHAT YOU'LL DO - Map Render's technology partnership landscape across AI labs, hyperscalers, and emerging developer products, and build the strategy for where Render has the strongest right to win. - Own outcomes for the partnerships portfolio — set clear milestones, timelines, and success metrics (e.g., ecosystem integration, developer adoption, joint launches, revenue impact) and hold yourself accountable to them. - Drive day-to-day partnership strategy and execution, taking deals from evaluation through negotiation, launch, and renewal, including commercial terms. - Partner closely with Product, DevRel, and Product Marketing to secure roadmap and staffing commitments, drive integration execution, and run co-marketing — and work with Finance and Legal to structure and manage commercial agreements. - Scope and lead our thinking on building out a Render Marketplace — including the value proposition to customers and key partners, product and engineering requirements, and commercial and financial terms. - Own ongoing relationship management for key partners — acting as their primary point of contact, running business reviews and planning sessions, driving expansion and renewal over time, and serving as their internal advocate at Render. - Bring operating rigor to the program: track and report on partnership performance, maintain clear documentation, and keep leadership updated on progress and upcoming launches. - Build out a team of partner managers as we scale. WHAT WE'RE LOOKING FOR - 6–10+ years of experience in strategic or technical partnerships, business development, or product-facing roles at technology companies — ideally where partnerships were critical during a period of hypergrowth. - A highly technical background is strongly preferred — former PM, forward-deployed engineer, or engineering experience, particularly within AI — so you can go deep with partner engineering and product teams on integration architecture, connectors, and protocols. - Demonstrated success managing and growing complex, high-impact partnerships across AI, cloud, or developer platform ecosystems. - Strong cross-functional operating skills, with experience working alongside Product, Engineering, DevRel, Legal, and Finance to execute complex initiatives. - Exceptional analytical skills, with the ability to use data to drive strategic decisions. - Outstanding communication, negotiation, and relationship-building skills, with the ability to engage at the executive level. - Strong bias for action — comfortable operating both independently and as part of cross-functional teams, in a fast-moving environment with evolving priorities. NICE-TO-HAVES - Hands-on experience with MCP, plugins, connectors, or app/marketplace ecosystems specifically. - Deep familiarity with the developer tools and infrastructure landscape, and a point of view on how emerging AI-native companies find distribution. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Principal Engineer, Data & Machine Learning San Mateo, CA Why PlayStation Data & Intelligence PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company. We are in the middle of a multi-year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is a connected intelligence layer where trusted context about players, content, partners and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people. This role helps shape how that is built across PlayStation. The Role We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence. This is one of SIE’s most senior individual-contributor roles. You will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against. This is a hands-on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk. What You’ll Own You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation: A single, reusable understanding of the player. The context, lifecycle and lifetime-value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case. Content and game understanding. Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences. Creator and partner intelligence. Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after. Unified measurement. Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next. Activation. Real-time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act. Semantic and conversational intelligence. A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust. Enterprise decision data. Decision-grade finance and supply-chain data that accelerates transformation programs across SIE. Trusted foundations and golden paths. Data contracts, certification, lineage, unified events and standard publish-to-consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one. What You’ll Do Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management. Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non-conforming designs. Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable. Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management. Lead the technical direction of our hardest cross-organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production. Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper. Partner with security, privacy, legal, governance and responsible-AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third-party and foundation models, and externally hosted AI services. Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape. Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning. Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost. Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists. Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry. What We’re Looking For 15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems. A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use. Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale. Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations. Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance. Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering. Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority. Outstanding written communication. This role leads through documents. Experience mentoring Staff, Principal or similarly senior technical professionals. Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience. Nice to Have Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem. Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale. Shared data or ML platforms serving multiple products and organizational domains. Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps. Experience translating research or emerging technology into production capabilities. Contributions to the field through open source, patents, publications, standards or conference talks. Why You’ll Love This Role Set the technical direction for data and intelligence across PlayStation. Own the architecture behind experiences reaching more than 100 million people. Report directly to the VP and sit on the organization’s leadership team. Build once, reuse everywhere: the mandate is to end duplicated work, not add to it. Work with strong Principal and Staff engineers, data scientists and product leaders across the company. Stay hands-on at the most senior IC level. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $304,200 — $456,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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! Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web , Figma helps entire product teams brainstorm , create, test, and ship better designs, together. From great products to long-lasting companies, we believe that nothing great is made alone - come make with us! Figma is looking for a Director, SMB Sales (EMEA) to join our growing Global Commercial organization. As Director of SMB Sales, EMEA, you'll lead a team of frontline managers and Account Executives responsible for helping growing businesses adopt Figma's Organization and Enterprise plans. Reporting to the VP of Commercial Sales, you'll play a critical role in scaling a high-volume, specialized sales motion while partnering closely with leaders across the Americas and JAPAC to drive consistency, share best practices, and evolve how we serve SMB customers globally. This is an opportunity to shape the next chapter of one of Figma's fastest-growing businesses, leading a talented team while influencing strategy across Sales, Marketing, Operations, Enablement, and Product. At Figma, we value leaders who think creatively, challenge the status quo, and build teams that consistently raise the bar for customer experience and business impact. This is a full time role that can be held from one of our EMEA hubs. What you'll do at Figma: Lead, develop, and inspire a team of frontline managers and Account Executives, building a high-performing culture focused on coaching, accountability, and customer impact. Scale the EMEA SMB business by driving operational excellence across forecasting, pipeline management, inspection, and execution against revenue goals. Partner with SMB leaders across the Americas and JAPAC to build a globally consistent sales motion, sharing best practices and raising execution standards across regions. Recruit, hire, and develop exceptional sales leaders while building a strong internal pipeline of future Mid-Market leaders and second-line managers. Coach managers through forecast reviews, pipeline inspections, deal strategy, call coaching, and performance management to improve both team execution and customer outcomes. Use data to identify opportunities, test new strategies, and continuously improve the SMB sales motion, including territory design, pipeline generation, productivity, and conversion. Partner closely with Operations, Enablement, Marketing, Solutions Consulting, Customer Experience, and Product to influence the evolution of the SMB business and improve how we serve customers globally. Serve as an executive sponsor for strategic customer opportunities while representing the voice of EMEA in the continued evolution of Figma's global SMB strategy. We'd love to hear from you if you have: 8+ years of experience leading SaaS sales organizations, including at least 4 years in sales management. You’ve managed frontline leaders and spent at least 2 years in a second-line leadership role. You’ve led distributed sales teams across multiple countries and understand the differences between EMEA markets. Comfortable balancing long-term strategy with the realities of day-to-day execution. Built and scaled teams of Sales Managers and Account Executives in a high-growth company. Ideally, you also have experience with SMB or Commercial SaaS sales, particularly in a product-led growth business. You know how to coach leaders, develop talent, and create inclusive teams that perform consistently. You’ve exceeded revenue targets while improving forecasting and building dependable sales processes. Confident using data to make decisions and have worked closely with Marketing, Operations, Enablement, Product, and other go-to-market teams. While it’s not required, it’s an added plus if you also have: Experience using or working with Figma, or other UX/UI experience Additional European language fluency (e.g. French, German, Spanish) Experience with Command of the Message or MEDDIC/MEDDICC sales methodology Background scaling teams across multiple EMEA markets simultaneously 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.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - Know when to go custom: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - Integrate third-party APIs and internal systems to sync events and information across disparate tools: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid OUR PURPOSE At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world. HOW YOU’LL MAKE AN IMPACT Accounts payable is broken for small businesses. Managing and paying a bill today means stitching together three or four different tools — capturing documents in one place, entering data in another, chasing approvals over email, and making the payment in a bank portal. It is manual, error-prone, and it takes hours every week from people who should be running their business. Xero’s bills and bill payment surface already serves over a million monthly active users globally: small business owners, the employees who keep their books, and professional bookkeepers working across dozens of clients at accounting firms. It runs on a system designed for a pre-agent world. As a Senior Product Manager on Bills, you will own the layer underneath that surface — the API contracts, the data-access model and the permission architecture that decide what a person or an agent is allowed to read, write and pay on a customer’s behalf. That applies inside Bills, and it applies through Xero’s integrations with Claude, Copilot and our open-source MCP server. You will set the vision alongside a principal engineer, argue the customer’s case inside technical decisions, decide what the interface should be, and lead a team of engineers through a replatform that never takes those million users offline. This is not a zero-to-one bet looking for users. The work already has them. What does not exist yet is the architecture underneath accounts payable that makes automated, agent-assisted and human-directed spend coherent, safe and trustworthy. That is the job. Your impact will be measured through customer, operational and commercial outcomes — including automation and straight-through processing rates, bill payment adoption and volume, activation and retention across owner and bookkeeper personas, platform and API reliability, and the pace at which the replatform lands without customer disruption. THE TEAM AND HOW THEY CONNECT You will join the Bills team — 20+ engineers, designers and product managers across Toronto, Vancouver and Pittsburgh — working across core AP workflows, platform APIs, AI experiences and bill payments. The team partners closely with payment and infrastructure vendors, and with cross-functional teams across North America, the UK, Australia and New Zealand. This is a global role, based in Toronto or Vancouver with flexibility to work remotely, and the team comes together in person regularly to collaborate and align on strategy. WHAT YOU’LL DO OWN THE ARCHITECTURE UNDERNEATH PAYMENTS - Develop the vision, strategy and roadmap for the API, data-access and permission layer that underpins bills and bill payments, in partnership with a principal engineer. - Define the contracts, data models and permission scopes that determine what any client — Xero’s own UI, a partner integration, or an AI agent — can read, write, approve and pay. - Decide where authority sits: what a person must confirm, what an agent may do unattended, what requires a second approver, and what can never be automated. - Sequence a replatform of a system serving more than a million monthly active users, with migration paths, dual-running periods and rollback plans that keep customers working throughout. - Own the cost and consequence of changing contracts that other teams and third parties depend on, including versioning, deprecation and breaking-change communication. - Identify opportunities to build reusable capabilities that serve Bills, the wider spend lifecycle and external developers, rather than isolated point solutions. REMOVE TOIL FROM THE END-TO-END ACCOUNTS PAYABLE WORKFLOW - Own products across the complete accounts payable journey: bill capture and understanding, coding and data extraction, approval routing, scheduling, payment execution, reconciliation and exception handling. - Build toward a world where bills arrive, get understood, get approved and get paid with minimal human toil, and where the entire spend lifecycle lives in one place. - Make Bill Pay the default way businesses pay through Xero, scaling bill payments across markets. - Identify valuable and differentiated customer problems, and frame clear solutions that can be tested, validated and delivered incrementally. - Ensure that platform complexity results in simple, understandable customer experiences rather than being passed through to the customer. BUILD FOR MULTIPLE PERSONAS WHOSE INTERESTS CONFLICT - Lead customer research across the distinct user types on this surface: business owners, in-house finance and admin staff, and professional bookkeepers and advisors managing many clients at once. - Design for the tension between them — the owner who wants a bill paid now, the bookkeeper who needs control and auditability, the firm that needs consistency across a client portfolio — and make the trade-off explicit rather than averaging it away. - Partner closely with Design and Engineering to create high-quality experiences across web, mobile and embedded surfaces, as well as programmatic ones. - Use customer data, qualitative insight and market intelligence to inform product strategy, prioritisation and roadmap decisions. SHIP AI AND AGENT CAPABILITIES CUSTOMERS CAN TRUST - Define how AI and agents participate in accounts payable: what they suggest, what they act on, what they escalate, and how the customer stays in control. - Own the quality bar for LLM-powered capabilities — evaluation sets, confidence thresholds, human-in-the-loop design, fallback behaviour and observable failure modes — and hold the line on it before launch. - Prototype your own ideas, including in code, rather than waiting for engineering capacity to test a hypothesis. - Shape how Xero’s accounts payable capabilities are exposed to external agent platforms, including our MCP server and integrations with Claude and Copilot. - Design for an error-intolerant workflow: this product moves real money, and a wrong answer costs a customer real money and real trust. NAVIGATE RISK, COMPLIANCE AND OPERATIONAL COMPLEXITY - Partner with Risk, Compliance, Legal, Security and Operations to build products that meet regulatory, security and operational requirements across markets. - Take responsibility for risks arising from authorisation and access control, financial crime, privacy and responsible data use, data accuracy, regulatory change and service availability. - Account for market-specific gating in payments and money movement — including US money transmission, UK FCA and open banking requirements, and Australian licensing and payment rails — when sequencing launches. - Lead trade-off decisions that balance customer experience, risk exposure, regulatory obligation, technical complexity and commercial outcome. - Treat operational processes, support tooling and exception management as part of the product, not an afterthought — including failed payments, duplicate bills, incorrect approvals, reversals and disputes. DRIVE STRATEGY, EXECUTION AND COMMERCIAL OUTCOMES - Develop and execute roadmaps that align customer needs, AP strategy, platform architecture and Xero’s broader business objectives, including the Melio acquisition and Xero’s North America growth agenda. - Establish clear product goals, success metrics and OKRs, and be accountable for moving them. - Take an active role in annual and quarterly planning, including funding, prioritisation and resourcing discussions. - Lead release and rollout strategy so that changes land safely and iteratively across customer cohorts and markets. - Monitor and interrogate customer, commercial and operational results, and lead interventions where outcomes are not meeting expectations. - Understand the economics of the product, including payment volume, adoption, pricing, processing cost, margin and revenue. - Make clear prioritisation decisions that balance immediate delivery against the long-term evolution of the platform. LEAD THROUGH CROSS-FUNCTIONAL INFLUENCE - Build strong relationships across Product, Engineering, Design, Risk, Compliance, Operations, Finance, Partnerships and Go-to-Market teams. - Create clarity on what is being built, why it matters, how it will work and when it will be delivered. - Hold your own in architecture and design reviews on data models, API contracts and migration sequencing, and bring a position rather than only questions. - Drive decision-making across complex stakeholder groups and act as tie-breaker when consensus cannot be reached. - Represent the products you own in senior leadership, product, architecture and payments forums, and in front of customers and partners. - Mentor and support other Product Managers, raising the standard of platform and AI product expertise across Xero. SUCCESS LOOKS LIKE - Bills arrive, get understood, get approved and get paid in Xero with materially less human effort than they require today. - There is a clear, documented and well-reasoned answer to what an agent is allowed to do with a customer’s money in Xero — and customers and partners trust it. - The API and permission layer underneath accounts payable is coherent, versioned and extensible, and new clients, markets and payment capabilities can be supported without duplication or rework. - The replatform progresses on a sequence the team believes in, with no material disruption to the million-plus customers using the surface every month. - Owners, in-house finance staff and professional bookkeepers each get an experience suited to how they actually work, and you can name the trade-offs you made between them. - AI-powered capabilities ship with defined evaluation criteria, measured quality, understood failure modes and appropriate human control — and improve after launch on evidence. - Bill Pay adoption, payment volume, automation rate, activation and retention are improving, and your contribution to that is clear. - Product risks and dependencies are identified early and managed in partnership with Engineering, Risk, Compliance and Operations. - Stakeholders understand the vision, strategy, roadmap and key trade-offs — and engineers come to you first when a decision needs making. - Other Product Managers are developing through your coaching and knowledge-sharing. - You demonstrate and amplify Xero’s values. WHAT YOU’LL BRING WITH YOU ESSENTIAL EXPERIENCE This role sits below the interface as much as in front of it, and the bar reflects that. You will bring: - Experience shipping below the UI. You have delivered changes to APIs, integration layers or shared services as part of delivering a wider product, and you know what it costs to change a contract other people depend on. Ideally you have owned a public or partner API through a breaking change. - Substantive AI product experience. You have shipped an LLM-powered capability that customers actually used, and you can talk about evaluations, failure modes and confidence thresholds unprompted — including what your product got wrong in production and what you did about it. You use AI aggressively in your own work and prototype in code. - Multi-persona B2B product experience. You have built a workflow serving several distinct user types whose interests conflict, and you can name a specific trade-off you made between two of them. - Error-intolerant domains. You have built products where a mistake costs money or carries regulatory consequence — payments, payroll, tax, treasury, lending, legal or clinical workflows. - Significant product management experience in a software development environment, across the full product lifecycle — typically five or more years in product, or comparable time as a founder, consultant or technical individual contributor in a payments and/or commerce domain. Deep accounts payable, bookkeeping, accounting or finance-team domain experience is a strong advantage but not a requirement, and experience with payment rails, regulatory-gated launches or fintech infrastructure is similarly valuable. Product experience confined to feature delivery on top of an existing platform, without direct involvement in the interfaces, contracts or data models underneath, is unlikely to be enough on its own for this role. PRODUCT LEADERSHIP - A strong track record of addressing customer needs through the innovative use of technology. - Experience developing successful product strategies, roadmaps and long-term plans — setting direction rather than receiving a spec. - Demonstrated ability to operate in technically complex and highly ambiguous environments, and to start before the problem is fully defined. - Strong product judgement and the ability to make decisions with incomplete information. - A track record of owning activation, retention, revenue or an equivalent metric and moving it — you can name the metric, the movement, and the trade-off you made to get it. - Self-direction under ambiguity, with minimal supervision required to define direction and drive outcomes. - Demonstrated ability to influence decisions at all levels of an organisation. TECHNICAL AND COMMERCIAL UNDERSTANDING - Ability to work as a peer with engineers and architects on platform design, APIs, data models, permission and authorisation models, system dependencies and technical trade-offs. - Understanding of migration and replatform sequencing in a live, high-volume system, and of the risks that come with it. - Strong understanding of how AI and agent systems are built and evaluated, including retrieval, tool use, evaluation design and the limits of model reliability. - Ability to translate customer and business needs into clear product requirements and technical specifications. - Understanding of product economics, including volume, cost, margin, pricing and revenue. - Experience evaluating third-party providers and making build, buy or partner decisions. - Familiarity with the regulatory, risk, security and operational considerations involved in moving money. CUSTOMER AND DATA ORIENTATION - Strong experience conducting customer research and converting insight into product decisions. - Ability to identify and clearly articulate complex customer problems — and to talk about users in the plural. - Experience developing MVPs, incremental solutions and experiments that validate product assumptions. - Strong analytical skills, using quantitative and qualitative data to make decisions. - Ability to establish meaningful success criteria and monitor ongoing performance. - Ability to translate complex information for technical, commercial, operational and executive audiences. CROSS-FUNCTIONAL LEADERSHIP - Demonstrated success working with diverse stakeholder groups across multiple engineering teams, geographies and third-party partners. - Ability to lead through influence across Product, Engineering, Design, Risk, Compliance, Operations, Finance and Go-to-Market. - Strong communication, facilitation and stakeholder-management skills, and comfort presenting to executives and to customers. - Ability to navigate difficult decisions, resolve ambiguity and create alignment across teams and geographies. - Willingness to disagree with an engineer, and to be disagreed with, in service of the customer. - Experience mentoring and coaching Product Managers and cross-functional team members. CRITICAL CAPABILITIES Love customer problems - Lead the use of customer research approaches and methodologies to generate meaningful insight across owner, in-house finance and bookkeeper personas. - Clearly define and articulate complex customer problems, including where personas conflict. - Develop incremental solutions and experiments that validate customer and product assumptions. - Ensure that platform and agent complexity results in simple, understandable and trustworthy customer experiences. Look to the future - Develop compelling product strategies and roadmaps that align customer, commercial and platform objectives. - Anticipate how immediate architectural decisions will constrain future agent capabilities, markets, partners and products. - Identify opportunities to create reusable capabilities rather than isolated point solutions. - Explore new technologies, models and business models that change how small businesses manage and pay their bills. Work the Xero way - Lead effective product prioritisation and decision-making. - Establish strong product and delivery practices within the team, without relying on a program manager to hold the plan. - Coordinate across products and teams to deliver end-to-end customer outcomes. - Ship iteratively, learn from outcomes and continuously improve the product. Demonstrate commercial acumen - Understand the markets, customer segments and competitive environment for accounts payable and bill payment. - Balance customer value, platform investment, risk and commercial outcome. - Define success criteria that reflect customer needs and product-market fit. - Use adoption, volume, cost, margin and revenue data to guide product decisions. Do it together - Create alignment across complex and diverse stakeholder groups. - Communicate a clear and compelling product narrative. - Build productive relationships across teams, functions, markets and geographies. - Mentor others and raise the standard of product, platform and AI expertise across Xero. Explore the data - Use data to understand customer behaviour, automation performance and operational outcomes. - Combine insight from customer research, product telemetry, support interactions and market trends. - Translate information into clear recommendations and decisions. - Establish measurement, evaluation and observability as core parts of product development. WHY THIS ROLE Most AI product roles are a bet on a zero-to-one that may never find users. This one is the opposite. More than a million people already do this work in Xero every month, and the mandate is to define how agents get to touch it. Xero has already put the pieces on the table: a US$2.5B acquisition of Melio, an open-source MCP server, a live Claude integration, and a new North America Product and Technology Hub. What does not exist yet is the architecture underneath accounts payable that makes it all coherent. That is what you would own. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is CA$167,400 – CA$209,200. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: United States; Europe Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is building the creative suite for the AI generation. Millions of creators and marketers already use our platform to generate speech, music, images, and video — and many of the world's best creators already talk about our products organically. It's time to turn that signal into a real program. We are looking for an Influencer Marketer to build our influencer program from zero to one. You will own the entire channel: strategy, creator sourcing and vetting, deal negotiation, briefs and creative direction, campaign execution around product launches, and measurement. This is not a coordination role — you will be the owner and operator of a channel we believe can become one of our biggest growth levers. We are looking for the top 1% of people in this industry. The right person has already taken an influencer program from nothing to something — with real numbers to prove it — and wants to do it again with more budget, a better product, and a faster team. You have sharp taste in creators and content, you negotiate deals that work for both sides, and you think about influencer spend the way a performance marketer thinks about paid: in terms of true incremental impact, not vanity metrics. WHAT YOU WILL DO - Design and build the ElevenLabs influencer program from the ground up: strategy, creator tiers, budget allocation, and operating playbook - Source, vet, and sign creators across YouTube, TikTok, Instagram, and X whose audiences match our creator, marketer, and developer segments - Negotiate and structure deals — flat-fee integrations, performance hybrids, long-term ambassadorships — and manage creator contracts with Legal - Write briefs that protect brand quality while giving creators room to be authentic, and give fast, decisive feedback on draft content - Plan and execute creator campaigns around product launches, feature releases, and cultural moments across ElevenLabs and ElevenCreative - Own measurement: work with our data team on attribution and incrementality (we already run a halo attribution model), and make continue/pause/scale calls on every creator and agency based on true ROI - Partner with paid marketing on whitelisting and amplifying top creator content, and with social to extend campaign reach - Build repeatable systems — sourcing pipelines, rate benchmarks, brief templates, reporting — so the program scales beyond you REQUIREMENTS - A proven track record of building an influencer program from zero to a meaningful, measurable channel — you can walk us through the before and after with real numbers - Experience negotiating and closing creator deals across YouTube, TikTok, Instagram, and/or X, including non-standard structures (performance hybrids, ambassadorships, usage rights) - Fluency in measurement beyond last-click: promo codes, UTMs, lift studies, incrementality, and the judgment to make budget calls when attribution is imperfect - Sharp creator taste — you can tell which creators will move the needle for a product like ours and which will just burn budget - Excellent brief-writing and creative feedback skills; you raise content quality without killing authenticity - Experience managing meaningful budgets and working cross-functionally with paid, social, product marketing, data, and legal - A genuine understanding of the AI and creative tools landscape — you follow the space, use the tools, and have informed opinions about where things are headed BONUS - Built or scaled an influencer program at a creative tools, AI, or developer-facing company (e.g., Canva, Adobe, Figma, Notion, Runway, or similar) - Managed 7-figure annual creator/sponsorship budgets - Experience on the agency or creator side of the table — you know how the other side negotiates - Built adjacent programs: ambassador, affiliate, or B2B thought-leader partnerships - Multilingual capabilities GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead the influencer and creator partnerships function as the program scales, building a team around you - Expand into broader creator/community growth ownership across ElevenLabs brands - Move into growth or brand marketing leadership as the Growth org evolves LOCATION This role is remote-first and can be executed from anywhere between the US East Coast and Europe, with the ability to collaborate across EST–CET timezones. If you prefer, you can work from our offices in London, New York, Madrid, Warsaw and many more. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: Galaxy is seeking a People Operations Manager, Global Payroll & HRIS to join our People team in a hands-on, execution-focused role supporting our global workforce. This position will initially join on a temporary-to-permanent basis and will play a critical role in two key areas: global payroll operations and the implementation of Workday, with a targeted go-live date of January 1, 2027. In your first three-six months, success will mean helping Galaxy deliver a clean and well-controlled Workday go-live, ensuring payroll readiness and data integrity, and establishing scalable processes that can transition into steady-state People Operations Leading up to go-live, this individual will partner closely with People, Payroll, Finance, Technology, external implementation partners, and other key stakeholders to support the successful implementation of Workday. This will include data validation and migration, business process design, testing, integrations, payroll readiness, documentation, and change management. At the same time, this person will help manage and strengthen Galaxy's global payroll operations, ensuring employees are paid accurately and on time and that payroll processes, controls, data, and vendor relationships can scale with the organization. Following implementation, the role will transition toward ongoing ownership and optimization of Workday and global payroll operations, including system administration, data integrity, reporting, process improvement, controls, and the employee experience. We're looking for someone who enjoys being close to the details while understanding the broader operational picture - someone who can identify an issue in a payroll reconciliation or employee record, work cross-functionally to resolve it, and then improve the underlying process so it doesn't happen again. What You’ll Do: Workday Implementation & HRIS Serve as a key People Operations partner for Galaxy's Workday implementation ahead of the January 1, 2027 go-live. Partner with internal stakeholders and external implementation resources to support requirements gathering, business process design, system configuration, integrations, and implementation activities. Coordinate and execute data preparation, cleansing, validation, and migration activities to ensure accurate employee and payroll data within Workday Develop and execute user acceptance testing (UAT), document results, identify issues, and partner with appropriate stakeholders through resolution. Support payroll parallel testing and other payroll-readiness activities ahead of go-live. Help establish scalable HRIS processes, controls, documentation, and governance. Develop process documentation, SOPs, training materials, and resources for People team members, managers, and employees. Support change management, training, and communications associated with the Workday launch. Following go-live, help manage ongoing Workday administration, including business processes, employee data, reporting, security/access, system updates, and issue resolution. Continuously identify opportunities to improve, automate, and scale People processes through Workday and other technologies. Global Payroll Support the end-to-end administration of payroll across Galaxy's global employee population, partnering with internal teams and third-party payroll providers as appropriate. Review payroll inputs and outputs to ensure employees are paid accurately, completely, and on time. Perform payroll audits, reconciliations, and variance analyses and proactively investigate and resolve discrepancies. Coordinate employee lifecycle changes impacting payroll, including new hires, terminations, compensation changes, bonuses, benefits deductions, leaves, and other employee changes. Partner with Finance on payroll funding, reconciliations, reporting, and related accounting requirements. Work with People team partners to ensure HRIS, payroll, benefits, and employee data remain aligned across systems and vendors. Support payroll compliance requirements across applicable jurisdictions and partner with internal and external subject-matter experts as needed. Manage day-to-day relationships with payroll vendors, escalating and resolving issues while holding partners accountable for service and accuracy. Maintain payroll calendars, controls, documentation, and standard operating procedures. Identify opportunities to standardize and strengthen global payroll processes as Galaxy continues to grow. People Operations Maintain a high standard of employee data accuracy and integrity across People systems. Produce and analyze People and payroll data to identify trends, discrepancies, and opportunities for operational improvement. Support employee inquiries related to payroll, HR systems, and People processes, providing a high level of service and discretion. Partner cross-functionally across People, Finance, Legal, Technology, and other teams on projects affecting employee data and operations. Support audits, compliance requests, reporting, and other People Operations initiatives as needed. Handle highly sensitive and confidential employee information with sound judgment and discretion. Support global payroll operations across multiple jurisdictions (e.g., US, UK, Ireland, Portugal, and EOR-supported countries), including timesheet approvals, payroll data prep, and coordination with in-country payroll vendors. Assist with new hire onboarding, employee data changes, transfers, and offboarding processes within Workday and related HR systems. Prepare reports, reconciliations, and ad hoc analyses to support payroll and people operations initiatives. Help document processes and maintain SOPs for HRIS, payroll, and people operations workflows. Respond to employee and manager inquiries related to payroll, HR data, and system access with a high level of accuracy and discretion. What We’re Looking For: 6+ years of relevant experience in People Operations, payroll, HRIS, HR technology, or a related field. Hands-on experience supporting payroll operations; global or multi-country payroll experience strongly preferred. Experience working with Workday or another enterprise HRIS; direct Workday implementation experience is strongly preferred. Experience participating in an HRIS implementation, migration, configuration, or significant system transformation is highly desirable. Strong understanding of the connection between HRIS data, payroll, benefits, Finance, and employee lifecycle processes. Demonstrated ability to reconcile complex datasets, identify discrepancies, and drive issues through resolution. Strong Excel skills and comfort working with large datasets, reporting, and analysis. Highly organized with exceptional attention to detail and the ability to manage multiple time-sensitive workstreams simultaneously. Strong project management skills and the ability to keep deliverables moving across multiple stakeholders. Comfortable operating in a fast-paced environment where processes may still be evolving. Takes ownership, works effectively both independently and collaboratively, and knows when to escalate issues. Strong written and verbal communication skills, including the ability to translate technical or operational issues for different audiences. Sound judgment and discretion when handling sensitive employee and compensation information. Bachelor's degree or equivalent relevant professional experience. Bonus Points: Experience with a Workday HCM and/or Payroll implementation, particularly involving a January 1 or year-start cutover. Experience supporting payroll across North America, EMEA, and/or APAC. Experience working with multiple local payroll providers or a global payroll platform. Familiarity with payroll integrations, data feeds, benefits integrations, and Finance/GL processes. Experience developing UAT scripts, executing parallel payroll testing, or supporting system cutovers. Experience building or improving payroll controls, SOPs, and audit processes. Experience in a high-growth, global financial services or technology organization. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $130,000 — $150,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

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 are looking for a Manager, Mid-Market Sales to join our dynamic team of creatives, engineers, marketers, and forward-thinking business folks. As our Manager Mid-Market Sales, you will lead a team of Account Executives in the NEMEA region responsible for continuing the growth of our Enterprise product. You will report directly to our Director, Commercial Sales. With this role you’ll be part of scaling NEMEA in a fast growing sales org. You’ll collaborate with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. This is a full time role that will be held from our London office. What you'll do at Figma: Create and manage a team of motivated and diverse individuals to foster an environment of success Participate in customer and prospect meetings Assist in continual training and development, including mentorship, hiring and career growth Help craft and further develop sales processes and initiatives Interview, hire and train new team members as we scale the business and company Deliver weekly forecast meetings and mentor Account Executives on strategies to help exceed their goals We’d love to hear from you if you have: 7+ years of sales experience (preferably within SaaS) with 3+ years of management experience Understanding of our technical and competitive landscape and ability to thrive in a constantly evolving environment Fluency in German Excitement for growing customer happiness and developing lasting customer relationships Proven track record of leading successful and consistent sales team. Outstanding coaching, writing, discovery and presentation skills While it’s not required, it’s an added plus if you also have: Additional years of management experience within a SaaS company Experience using or working with Figma, or other UX/UI experience Ability to thrive in a constantly changing and evolving environment Experience with Command of the Message or MEDDIC sales methodology 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.

Location: São Paulo, Brazil 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 an Executive Assistant to support (2) of Figma’s Sr. Directors, Sales - LATAM + DACH. This role strategically manages the day-to-day administrative and operational needs of the LATAM + DACH businesses, while also contributing significantly to projects and initiatives that help drive the company’s priorities. We are looking for an experienced Executive Assistant who has supported at a VP level in complex global markets. This is a full-time role based in our São Paulo hub and requires fluency in both Portuguese and English. What you’ll do at Figma: Manage Sr. Directors’ calendars, meetings, expenses, and business travel arrangements Brief and prepare Sr. Directors ahead of key meetings, calls, and events, including confidential reports and materials Coordinate Senior Management meetings, including agendas, materials, action items, and follow-up Lead planning and execution of monthly and quarterly meetings and in-person leadership offsites, coordinating content, slides, venues, and stakeholders Build executive materials using Figma, Figma Slides, and FigJam Act as a key liaison between Sr. Directors, their leadership teams, and the wider LATAM + DACH teams Work alongside the Sales EA team and greater EA team to provide some support for logistics of internal events, team offsites and external events Evolve and create processes for efficiency and global alignment We'd love to hear from you if you have: 4+ years of experience in an administrative or support role Fluent in both Portuguese and English, with strong communication skills across a wide range of stakeholders Thrive in fast-paced environments and adapt quickly to changing priorities and demands Expert at prioritizing, anticipating needs, and handling sensitive information with discretion and confidentiality Bring a positive, reliable approach and foster an inclusive environment where others can thrive While it’s not required, it’s an added plus if you also have: Previous experience supporting customer facing teams and/or sales Experience supporting senior leadership at fast paced SaaS companies 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. #LI-JB6 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.

Задачи: — работать с частью системы целиком, доводить её до прода — разбираться с возникающими проблемами в продакшне Требования: — 3+ года продакшн-опыта на Python — ежедневная работа с LLM и агентами, умение объяснить процесс — проактивность и умение дебажить чужой код в продакшне Условия: — зарплата до 2 500 $ (B2B) — полная удалёнка, гибкий график — оплата AI-тулинга (Claude Code или другие удобные инструменты) — интро-звонок, технический разговор, оффер

Location: Vienna, Austria Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Ever wondered what it's actually like to build a career at a company millions of developers rely on? Software Engineers at Sentry write real code on real projects that ship to production. No busywork, no "prove yourself first" purgatory. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK https://docs.sentry.io/?original_referrer=https%3A%2F%2Fsentry.io%2Fcareers%2F%3Fteam%3DEngineering%2B team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK https://blog.sentry.io/meet-sentrys-2025-summer-interns/#simon-1-16 and a faster AWS Lambda extension https://blog.sentry.io/meet-sentrys-2025-summer-interns/#martin-1-17 — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay https://github.com/getsentry/relay and Symbolicator https://github.com/getsentry/symbolicator) that process millions of events every minute. New grad hires are rad hires. Our onboarding is built to set you up for long-term success from day one — comprehensive training, dedicated mentorship, social events, and a built-in community of peers who started right alongside you. (There are also snacks. The good kind.) Many of our new grads started out as interns here first — read the stories https://blog.sentry.io/life-at-sentry/ from Sentaurs who liked it enough to come back full-time. IN THIS ROLE YOU WILL - Be matched with one of our SDKs https://sentry.io/platforms/, Product or Ingest teams, based on your interests and experience - Design, develop, and ship features and systems that drive real value to customers - Own projects end-to-end, from design through production - Receive ongoing feedback, coaching, and mentorship from your manager and teammates YOU'LL LOVE THIS JOB IF YOU - Want to be treated like an engineer from day one - Care about how software actually works - Are excited about where AI is taking software development and want to build in the middle of it - Want mentorship that's real, not scheduled - Like shipping things and seeing them used at scale QUALIFICATIONS - Recently completed or completing an undergraduate or graduate program in Computer Science or a related field - At least one previous internship or equivalent hands-on experience - Solid grasp of algorithms and data structures fundamentals - Comfortable using GitHub: branching, pull requests, code review, the works - Proficient in Python, JavaScript, or a similar dynamic language, picked up through internships, personal projects, or coursework - Can pick up a new language or framework quickly and run with it - Experience collaborating on an engineering project with a team (class, open source, work, it counts) - Available to start in 2027 and able to relocate to Vienna, Austria (we'll help get you there and cover housing) - Please note the following: - Visa sponsorship is considered on a case-by-case basis - This is a full-time position We are obliged by law to quote the minimum wage of EUR 43.456,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The base salary (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is EUR €80,000.00. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Vienna, Austria Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Ever wondered what it's actually like to intern at a company millions of developers rely on? Software Engineering Interns at Sentry write real code on real projects that ship to production. No fetch-the-coffee. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK https://docs.sentry.io/?original_referrer=https%3A%2F%2Fsentry.io%2Fcareers%2F%3Fteam%3DEngineering%2B team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK https://blog.sentry.io/meet-sentrys-2025-summer-interns/#simon-1-16 and a faster AWS Lambda extension https://blog.sentry.io/meet-sentrys-2025-summer-interns/#martin-1-17 — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay https://github.com/getsentry/relay and Symbolicator https://github.com/getsentry/symbolicator) that process millions of events every minute. This is a 12+ week hybrid technical internship https://sentry.io/careers/internships-and-early-careers/ that treats you like a full-time Sentry engineer — not just "an intern." You'll be paired with a manager and a dedicated team mentor, get access to social events, and wrap up the program with a final presentation to the Sentry team. Don't just take our word for it — hear it from the people who lived it. Our intern blog https://blog.sentry.io/life-at-sentry/ is full of stories from past Sentaurs about the features they shipped and the teams they joined, and more than a few of them liked it enough to come back as full-time new grads.   IN THIS ROLE YOU WILL - Be matched with one of our SDKs https://sentry.io/platforms/, Product or Ingest teams, based on your interests and experience - Design, develop, and ship a programming solution that drives real values to customers - Receive meaningful feedback, coaching, and mentorship from your manager and teammates   YOU’LL LOVE THIS JOB IF YOU - Want to be treated like an engineer, not "an intern" - Care about how software actually works - Are excited about where AI is taking software development and want to build in the middle of it - Want mentorship that's real, not scheduled - Like shipping things and seeing them used   QUALIFICATIONS - Currently enrolled in an undergraduate or graduate program in Computer Science or a related field - At least one previous internship or equivalent hands-on experience - Experience collaborating on an engineering project with a team (class, open source, work, it counts) - Solid grasp of algorithms and data structures fundamentals - Proficient in Python, JavaScript, or a similar dynamic language, picked up through internships, personal projects, or coursework - Can pick up a new language or framework quickly and run with it - Comfortable using GitHub: branching, pull requests, code review, the works - Available to start summer 2027 and able to relocate to Vienna (Austria) for the duration of the internship (we'll help get you there and cover housing)   We are obliged by law to quote the minimum wage of EUR 43.456,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The base salary (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is EUR €3,285.00 per month. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Remote USA Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Senior Site Reliability Engineer II, you’ll step up as the ultimate guardian of reliability across our critical product domains and services. You will architect high-performing platforms, turn complex systems into resilient superpowers, and collaborate directly with engineering leaders to set bulletproof standards. By keeping our systems seamlessly scalable, you directly power the AI-driven learning experiences used by millions around the globe. ⚡ THE DAY-TO-DAY - Master the Domain: Partner with engineering teams to set crystal-clear reliability objectives (SLIs/SLOs) and build long-term reliability roadmaps for core services. - Tackle High-Stakes Incidents: Lead cross-service incident responses during critical outages, guiding teams with confidence and translating chaos into clear, durable solutions. - Architect Resilient Futures: Drive the company-wide adoption of cutting-edge reliability patterns, deployment safety capabilities, and infrastructure scalability. - Elevate Observability: Build and refine advanced observability tools to catch issues before they reach production. - Champion Engineering Balance: Influence product design and system architecture to maintain the ultimate equilibrium between feature velocity and rock-solid reliability. - Empower the Team: Mentor senior engineers, elevate best practices, and play a pivotal role in recruiting top-tier talent to the SRE organization. 🧠 YOUR SUPERPOWERS - Battle-Tested Expertise: Bring 6–10 years of SRE, DevOps, or production engineering experience with hands-on mastery of complex distributed systems. - Cloud Architecture Wizardry: Command cloud infrastructure (AWS preferred), container orchestration, and Infrastructure as Code to keep modern platforms humming. - Engineering Precision: Craft clean, high-performing code in at least one major language alongside a knack for automating away repetitive tasks. - Incident Command Ready: Show a proven track record of steering large-scale incident management and driving high-impact reliability programs. - Cross-Functional Influence: Communicate effortlessly across engineering, product, and customer-facing teams to align tech goals with business impact. 🎁 BONUS POINTS - Next-Gen Automation: Advanced experience designing self-healing infrastructure patterns and zero-downtime deployment pipelines. - Mass-Scale Experience: Prior history scaling multi-tenant SaaS environments in rapid-growth markets. U.S. citizenship is required for this position because its duties require access to restricted federal customer environments that limit access to U.S. citizens. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Задачи: — Создание, разработка и управление масштабируемой инфраструктурой AWS. — Создание и поддержка эффективных CI/CD пайплайнов для оптимизации развертывания приложений. — Мониторинг и быстрое решение проблем с приложениями и инфраструктурой. — Взаимодействие с кросс-функциональными командами для обеспечения плавной интеграции и развертывания ПО. — Обеспечение соблюдения политик безопасности и лучших отраслевых практик. — Автоматизация процессов развертывания инфраструктуры и приложений. — Обеспечение устойчивости и доступности производственных систем. Требования: — Опыт работы более 5 лет в области облачных технологий, инфраструктуры или разработки ПО. — Глубокие знания AWS сервисов: EC2, S3, RDS, CloudFront, VPC, Lambda и др. — Владение инструментами Infrastructure as Code (IaC): Ansible, Terraform, AWS CDK. — Опыт работы с контейнеризацией и оркестрацией: Docker, Kubernetes (EKS/ECS). — Знание скриптовых языков: Python, Bash, Golang. — Опыт работы с CI/CD инструментами: Gitlab, Gitlab-CI, FluxCD(v2). — Хорошее понимание сетевых принципов и протоколов. — Знание Service Mesh, в частности Istio. — Опыт работы с инструментами мониторинга: Prometheus, VictoriaMetrics, AlertManager, Grafana. — Способность работать в динамичной, быстро меняющейся среде. — Отличные аналитические, проблемно-решающие и коммуникативные навыки.