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Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Grafana Labs is looking for a Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across the Central USA region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. Responsibilities Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests Requirements 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal In the US, the OTE compensation range for this role is $260,000 - $300,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Высшее техническое/технико-экономическое образование, от 3 лет опыта SQL-разработки. Обязательно отличное знание PostgreSQL (кандидаты без него не рассматриваются), SQL.

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your mission The Guardrails service empowers organizations to confidently deploy autonomous agents by embedding protection mechanisms that govern agent behavior, data access, and decision boundaries. Through policy enforcement, monitoring, and adaptive controls, we help safeguard users and systems while maintaining the agility and intelligence that make agentic automation transformative. Our mission extends beyond UiPath Agents — we're evolving Guardrails into a scalable, platform-wide capability that brings consistent governance and protection across the broader UiPath ecosystem. By combining innovation, security, and user trust, we enable customers to explore the full potential of automation with confidence and control WHAT YOU'LL DO AT UIPATH - Plan, design, develop, and test software systems or applications for enhancements and new features, including cloud-based tools. - Collaborate with cross-functional teams across UiPath to design and engineer product areas and services. - Ensure technical deliverables meet expectations for quality, security, scalability, modifiability, extensibility, and testability. - Contribute to the establishment of effective and agile engineering practices. - Identify performance bottlenecks and bugs; implement solutions to address them. - Plan feature development, design system components, and contribute to the engineering roadmap. - Maintain code quality, organization, and automation. WHAT YOU'LL BRING TO THE TEAM - 5+ years of experience in a software engineering role using high-level languages (C#, C++, Java, Python, Rust, etc.) - Strong grasp of object-oriented programming and architectural design patterns. - Knowledge of multithreading, synchronization, and asynchronous programming. - Solid understanding of data structures and algorithms. - Ability to write well-tested, high-quality code. - Familiarity with the latest versions of .NET and C# features. - Experience with other languages and technologies: C++, NodeJS, JavaScript, Angular, XAML. - Cloud services experience with one or more of: Azure (preferred), AWS, GCP. - Experience with data processing platforms and ETL/ELT pipelines (e.g. Snowflake, Azure Data Factory, Databricks, Spark, dbt). - Familiarity with modern data warehousing concepts, dimensional modeling, and analytics engineering best practices. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Reporting directly to our Head of UKI, Harvey's Enterprise Sales Manager for UKI will lead and coach high-performing Account Executives selling into corporate legal departments across UK and Ireland. You will own delivery against ambitious revenue targets while rolling up your sleeves to work directly with prospective Enterprise customers. We are looking for a self-starter who can build pipeline and a team from a small base, navigate ambiguity, operate in a fast-paced environment, and make fast, clean personnel decisions. Ideal candidates will have experience scaling enterprise sales teams in net new logo environments, outstanding communication skills, and an instinct for understanding what legal buyers actually care about. WHAT YOU'LL DO - Recruit, ramp, and lead a team of consultative, solution-based enterprise Account Executives selling into corporate legal departments across UKI. - Own the team's pipeline build as a weekly operating discipline - not a quarterly scramble - including outbound cadences, territory planning, and qualified pipeline coverage targets. - Be accountable for revenue, forecast accuracy, and the rigor of deal qualification across the team. Inspect deals, don't just take them on faith. - Personally engage in top accounts and complex deals as a player-coach, modeling the qualification, multi-threading, and executive engagement you expect from your team. - Work cross-functionally with Product, Legal Engineering, Marketing, and Customer Success to build effective sales processes tailored to the in-house legal buyer. - Build and iterate on the EMEA enterprise in-house playbook, documenting what works so it can be repeated and scaled. - Cultivate a culture of ownership, urgency, and development - attracting top sales talent and making fast, evidence-based personnel decisions when performance is off track. WHAT YOU HAVE - 10+ years of tech sales experience and 5+ years of people management experience. - A track record of building net new logo pipeline and revenue — not just managing an inherited book of expansion business. - Experience training and coaching a high-performance enterprise sales team selling complex, multi-stakeholder deals into corporate legal departments, financial services, or comparable professional services buyers. - Experience operating in an early-stage, high-growth environment where you built the motion - processes, cadences, and team — from a small base. - Strong communication skills with the ability to clearly articulate AI concepts and business value to General Counsels, Chief Legal Officers, and legal operations leaders. - Demonstrated qualification rigor and forecasting discipline - comfortable inspecting deals at the metric, economic buyer, and decision criteria level, and willing to disqualify aggressively. - A bias toward action on people decisions: comfortable having direct performance conversations early and making clean calls when the evidence is there. - Demonstrated passion for Harvey's mission and a strong point of view on how AI changes the work of in-house legal teams. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-RC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Ukraine; Poland; Georgia; Moldova; Armenia Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Software Engineer (.NET/C#) to enrich its team with a skilled professional. Project ​Developing the application for working with laboratory equipment. Work within the client's team, and full participation in the team means high level of responsibility and initiative. Responsibilities Design, develop, and maintain cloud-based using Microsoft .NET and C#. Collaborate closely with a multi-disciplinary, international team to deliver high-quality software solutions. Ensure adherence to clean code principles and contribute to elegant and pragmatic software designs. Participate in all stages of the software development lifecycle, including requirement analysis, architecture design, coding, testing, and deployment. Lead or contribute to the implementation of new features, enhancements, and bug fixes. Work with Docker, Kubernetes, or similar containerization tools to deploy scalable applications (experience in these technologies is a plus). Collaborate in a multi-site setup, ensuring smooth communication and alignment across teams. Requirements 5+ years of professional software engineering experience. Strong programming skills and software engineering fundamentals. Experience developing applications using C# and .NET . Experience building and maintaining modern software applications, including web and/or desktop solutions. Experience with REST APIs, data access technologies, relational databases, and industrial communication technologies such as OPC UA. Familiarity with cloud technologies and modern software deployment practices. Experience with Azure DevOps , including source control, work item management, and CI/CD pipelines. Experience working in Agile/Scrum development environments. Strong analytical and problem-solving skills. Ability to work effectively both independently and as part of a collaborative team. Strong communication skills and ability to work with technical and non-technical stakeholders. Experience with Blazor Experience with modern web, cloud, and data technologies such as Angular, React, Azure, MongoDB, or similar technologies is a plus. Domain familiarity with laboratory, scientific, industrial, or automation software is a plus. Strong verbal and written communication skills in English.

- Опыт автоматизации тестирования на Python от 5 лет; - Отличное понимание pytest и фикстур, опыт автотестов ui и api;

💎 JoSpace ищет FullStack-разработчика для создания backend на Python и frontend на TypeScript и React для AI-продуктов. Предстоит строить RAG-системы и AI-агентов, интегрировать LLM API и ежедневно работать с Claude Code, Cursor, Codex и OpenCode в реальной кодовой базе.

As a Commercial Account Executive, you'll play a key role in driving new business growth by acquiring net-new customers for Gong Foundations. You will own and manage the full sales cycle, with 100% focus on outbound prospecting.

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO   THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money), Will Guidara (former co-owner of Eleven Madison Park and author of Unreasonable Hospitality)   THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, and Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours.   THE ROLE As Arca's Head of Tax, you'll build our tax practice from zero — the first tax hire, with a blank page and a mandate to make tax a proactive part of clients' financial life. Tax is where most of our clients feel the most friction, feel the most uncertain, and get the least help. A scramble for documents every spring, a preparer who sees one year at a time, and a wealth advisor who's never quite looped in. We think tax should be continuous, coordinated with the rest of the plan, and done ahead of the deadline instead of after it. You're here to build an AI-native tax practice from day one including the document gathering process, return preparation and review, client projection/planning before a client thinks to ask, and more. You'll design what the agents do, where a professional's judgment has to step in, and ensure end-to-end quality. This is a hands-on role involving return preparation, directly helping clients on their most complex situations, partner closely with our wealth advisors so tax and investment advice move as one, and own the service as a business: pricing, revenue, capacity, and the team you'll hire behind you. Most of your time goes to two things: doing the tax work and designing the platform that does it better, sitting next to the engineers who build it.   WHAT YOU’LL OWN - The tax practice. What we offer — starting with individual returns (1040s) and year-round planning, projections, and notices, and expanding to business returns (S-corps and other entity returns) for clients who own businesses — who it's for, and the standard every engagement is held to. You set the scope, the service model, the quality bar as well as selecting vendors (core tax return software in particular) to enable the business. - An AI-native tax process. End-to-end design of how tax work gets done at Arca — document collection, data normalization, preparation, review, filing, and post-filing. You'll work side by side with engineering and product to build it, and be the domain authority on every workflow. - Clients. You prepare, review, and own returns for clients whose situations take real expertise: stock options and RSUs, business income, S-corp owners, rental real estate, and multi-state filings. You explain tax in plain English and give clients confidence their needs are handled. - Partnership with our wealth advisors. Tax and investment advice as one plan, not two silos. You work with advisors on tax-loss harvesting, Roth conversions, charitable strategy, equity comp exercise timing, and withholding and estimated payments — and build the playbooks so advisors know when to bring you in. - Risk, compliance, and quality. Preparer standards, Circular 230 obligations, data security, engagement letters, review protocols, and an audit trail for every AI-assisted step. - The team. Hiring the preparers, reviewers, and specialists who come after you, and deciding which work we keep in-house versus partner on.   EXAMPLE PROBLEMS YOU’D WORK ON These are the kinds of questions the first year of this practice has to answer. - Tax season without the scramble. We already manage client accounts and know most of their financial picture. What does it take to have 80% of a return assembled before a client uploads a single document — and how do agents chase the remaining 20% seamlessly? - Where the agent stops and the professional starts. An agent can reconcile a 1099-B in seconds. It probably shouldn't be the one deciding how to treat a messy ISO disqualifying disposition. Drawing that line, and building a review layer that makes AI-prepared work more reliable than the traditional kind, is the core design problem. - Tax as a year-round signal. A client gets a bonus, sells a rental, or exercises options in July. How does the platform notice, rerun the projection, and get the right recommendation in front of the advisor while there's still time to act? - One plan, two disciplines. Every rebalance has a tax consequence, and every tax decision changes the investment plan. Designing how tax and wealth advice move together, inside one system, is what makes the model work.   THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You're a licensed tax professional. Active CPA license required, with 8–15+ years in individual and high-net-worth tax experience at a top firm, family office, or planning-focused practice. You've prepared and reviewed complex 1040s yourself and signed off on others' work. Equity compensation, rental real estate, and multi-state are familiar ground, and you're comfortable with the business returns that come with owner-clients: S-corps, partnerships, and C-corps. - You're a change agent. You've stood up a practice, introduced a new service line, or materially improved ways of operating. You take initiative, operate independently, and have driven impact and results. - You're AI-pilled. You already use AI in your work and have strong opinions on which parts of the tax process it should own. You don't need to write code; you need to know exactly what's slow, what's error-prone, and what a great system would do instead — and enjoy working next to the engineers who build it. - Clients and advisors trust you. You can sit with a client and make a complicated situation feel simple, and you see wealth advisors as partners. Experience working alongside a wealth management or RIA practice is a big plus. - You hold a high bar because of what's at stake. This is people's money, their filings, and their standing with the IRS. "Good enough" means something different when a mistake shows up as a notice in someone's mailbox. - You're someone people actually want to be in the room with. This is a small team, one office, five days a week, working on problems that don't have clean answers. Kind, direct, and low-ego, you can give candid feedback without being a jerk, and you're genuinely energized by this environment.   WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - You're the first. No legacy process, no inherited tools, no one else's practice to fix. Whoever takes this on defines tax at Arca. - The clients are already here. We have real advisors and over $1B in client assets on the platform, and more firms and advisors joining. You're building a practice with demand on day one. - The platform is live. Agents already do real work for our advisors. You get to extend a working system into tax rather than wait for one to be built. - Tax is the next chapter. As Arca expands from wealth management into tax, estate planning, insurance, and beyond, tax is the first step. The patterns you set become the template for every service line after it. Benefits: Medical, dental, and vision insurance, a 401(k), and more.

разрабатывать и дорабатывать масштабируемые высоконагруженные высокопроизводительные приложения; выбирать технологии и паттерны проектирования для реализации, определять форматы хранения и передачи данных;

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ ABOUT THE ROLE Docker's Forward Deployed Engineering (FDE) team embeds senior engineers inside our most strategic customers to solve their hardest deployment, integration, and adoption problems. FDEs then bring what they learn back to Docker Product and Engineering so that every customer benefits. As the Principal Technical Program Manager for FDE, you define what good looks like for the organization and run the business that delivers it. You define the standards for how FDE plans, commits, delivers, and measures quality. You own the operating rhythm, track commitments Docker has made to customers, the commitments Docker Engineering has made to FDE, and the timelines and resourcing behind them. This is a senior role that works with stakeholders across the business to drive outcomes for Dockers most important customers. FDE is where Docker proves it can deliver for the customers that matter most while the technology around us changes quickly. You will set the standard for how a small team of senior engineers earns and keeps the trust of customers, and you will make what they learn useful to the whole company. The practices you establish will become the model for how Docker engages with its largest, most complex customers. _______________________________________________________________________ RESPONSIBILITIES DEFINE WHAT GOOD LOOKS LIKE - Define the FDE delivery standards, engagement model, and quality bar, and write them down so engagements are consistent across customers, regions, and engineers. - Decide which metrics matter for FDE, set targets, and revise them as the team learns. - Turn lessons from each engagement into reusable practice and product improvements. RUN THE FDE BUSINESS - Give executives a clear account of what is on track, what is at risk, what decision is needed, and from whom. - Own FDE capacity management and staffing plans with FDE leadership and recruiting: which engineers are aligned to which customers, where the gaps are, where and when to hire to stay ahead of demand. OWN CUSTOMER AND ENGINEERING COMMITMENTS - Instrument every commitment Docker has made to FDE customers, and every commitment Docker Product and Engineering teams have made to FDE. - Track commitments, map dependencies across teams, and surface risks early enough to act on them. - Negotiate and confirm dates with teams that run on their own planning processes, and hold them to those dates. INFLUENCE ACROSS DOCKER - Represent FDE with Product and Engineering leadership. Make sure customer needs are well defined using data, and that product decisions map to achievable FDEs action. - Improve the internal processes that slow collaboration between Field, Product, and Engineering, and bring those improvements to the wider company when they work. - Present FDE results and risks to Docker executives and customer stakeholders. LEAD THE PROGRAM PRACTICE - Set priorities for junior TPMs, define the reporting FDE needs, and mentor them in program management practice. - Choose the tools and standards FDE uses to track work. - May need to take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of technical program management experience, including 4+ years at Staff level or above, supporting customer-facing engineering, professional services, or field engineering teams. - A track record of delivering commitments on schedule for enterprise customers, including contractual or executive-visible deadlines. - Experience defining standards, quality bars, and operating processes that other teams adopted. - Experience running dependencies across many engineering teams that you do not manage, and getting reliable dates from them through influence. - Strong technical background in cloud platforms, containers, and modern software delivery. You can read a design, challenge an estimate, and tell a real blocker from a vague one. - Experience choosing metrics and setting targets, including working with incomplete data and deciding what is good enough to act on. - Executive communication skills, with the ability to deliver difficult news early and clearly to customer stakeholders, Docker leaders, and engineers. - High agency and comfort working autonomously in a distributed, remote-first company where processes are still being defined. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Occasional travel to customer sites and to Docker team gatherings. BONUS QUALIFICATIONS - Prior experience supporting a Forward Deployed Engineering, Professional Services, Solutions Engineering, or Customer Engineering organization. - Familiarity with the agentic AI ecosystem, including coding agents, Model Context Protocol (MCP), and enterprise requirements for security and governance of AI workloads. - Experience with regulated or compliance-driven customers in financial services, healthcare, government, or similar sectors. - Experience at a developer tools, infrastructure software, or platform company. - Familiarity with Docker products, Kubernetes, and cloud-native development platforms. WHAT SUCCESS LOOKS LIKE - FDE has written delivery standards, a quality bar, and KPI targets that FDEs, Field, Product, and Engineering all know and use. - Every customer commitment and every Docker engineering commitment to FDE has an owner and a date, and strategic customer deadlines are met. - FDE operating reviews run weekly, produce decisions, and close their actions. - FDE capacity, hiring, and customer alignment are planned ahead of demand. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.   United States: $162,505 - $254,650 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Без коммерческого опыта — ок, но за плечами должна быть практика: пет-проекты, CTF, разборы семплов, свои утилиты под Windows. - Знакомство с MASM, LLVM -.NET / C# для assembly loader'ов Писать боевой инструментарий под Windows: loader'ы, payload'ы, пост-эксплуатацию.

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Content Strategy Lead for Executive Programs, you will own what Anthropic brings to the table when we sit down with senior leaders from our most strategic customers. That covers Executive Briefings, Customer Advisory Boards, Executive Councils, and the other small-room gatherings where a C-level audience meets with our leaders, product teams, and researchers. You will set the content strategy across these programs, build the library of modules and the bench of speakers, and lead the team that keeps our content fresh as our models and products evolve. This role works cross-functionally with Product & Solutions Marketing, who owns positioning and messaging across industries and products, and customer programs which owns each program's operations, intake, and customer experience. You own the layer in between: turning Anthropic's product, research, and policy story into sessions built for an executive audience, deciding who is best placed to deliver them, and designing interactive formats and demos that work for customers building on the frontier. The right candidate has a product marketing or narrative background, has built content for C-level customer audiences at an enterprise technology company, and has managed a team. Key responsibilities Set and execute the content strategy across Executive Briefings, Customer Advisory Boards, Executive Councils, and other gatherings of strategic customers: the themes for the year, the narrative that connects them, and how content differs by program, audience, and purpose. Build and maintain an evergreen library of content modules that program leads and account teams can assemble into an agenda without starting from scratch. Modules span product and roadmap, research, safety and policy, industry and use-case sessions, demos, and discussion guides. Keep the library current. Set a refresh cadence tied to model and product launches, retire what is stale, maintain a pipeline of net-new content modules, and make sure nothing in front of a customer executive is out of date. Identify, recruit, develop and certify speakers from Anthropic's executive, product, research, and go-to-market teams. Maintain the cross-program roster, shape each speaker's session, and prepare them for the room. Design the experience, not only the presentation. Choose the format that fits the audience and the goal, whether that is a working session, a live demo, a conversation with a researcher, or a peer discussion among customers. Partner with program leads on agendas for the highest-priority engagements, tailoring modules to the customer's objectives. Set the standards and templates that let every other engagement meet the same bar. Work with Product & Solutions Marketing, Product, and Research so that executive-level content is ready when a launch happens, not weeks after. Capture what customers say in these rooms, including themes, objections, and requests. Route it to Product, Research, Marketing, and go-to-market leadership, and use it to improve the content. Measure what works, including session feedback, module usage, and speaker performance, and work with program leads to connect content to program outcomes. Hire, manage, and develop the team responsible for executive program content, and set its quality bar. Use Claude to scale the work: build workflows that tailor modules to a customer's industry and priorities so a customized session does not require a rebuild. Minimum qualifications Built content for C-level customer audiences in executive briefings, advisory boards, executive councils, or similar programs. Built a content system that other people rely on, such as a module library, a session catalog, or a speaker program, and kept it current through frequent product change. The technical fluency to work directly with researchers and engineers, understand what they have built, and explain it accurately to a business executive. Experience coaching senior executives and technical experts as speakers, including giving direct feedback on their material. Judgment about format: you know when a room needs a presentation, a demo, or a facilitated discussion, and you can design each one. Experience managing people, including hiring and developing a team. A high bar for writing. You can draft an executive session narrative yourself and improve one written by someone else. Genuine interest in AI and in helping the world's largest enterprises adopt it responsibly. Preferred qualifications 12+ years in product marketing, executive content, or executive customer programs at a B2B technology company. You have owned positioning and messaging for a technical product and know how to adapt it for different audiences. Experience at a company where the product changes quickly and content has a short shelf life. Hands-on experience using AI tools to produce or tailor content. Experience facilitating executive discussions, not only preparing others to lead them. Worked with customers in regulated industries such as financial services, healthcare, or the public sector. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Atlanta, GA (Hybrid) The Position CallRail is seeking an Inside Sales Representative (ISR) to join our high-performing Small Business (SMB) sales team. As a key driver of growth, you'll help small businesses discover how CallRail's solutions can support their success while contributing to the continued expansion of our customer base. In this role, you'll engage exclusively with warm inbound leads—SMB prospects who have expressed interest in CallRail or started a free trial. Rather than cold calling, you'll focus on conducting consultative product demonstrations, identifying customer challenges and goals, and showcasing the value of CallRail's suite of solutions. Your success will come from building strong relationships, delivering a seamless buying experience, and converting interested prospects into long-term customers. What You'll Do You will conduct product demos for SMB prospects and convert them to free trials Implement net new leads with CallRail’s suite of products and convert them to customers Uncover business initiatives and pain points to map back to our solutions Research and understand various lines of business and personas Sell on Value and Return on Investment vs. technical functionality What You'll Need Proven track record of exceeding quota as an Account Executive or SDR 1 year of software sales experience as an Account Executive or SDR; strong preference for marketing technology sales Experience with high volume SMB sales is a huge plus Amazing written and verbal communication skills Expertise in solution-selling, account planning, and forecasting/pipeline management Experience with Outreach is a plus Proficiency using Salesforce.com and Google Suite Can work as part of a team and/or independently Knows how to navigate a fast-paced environment BA/BS strongly preferred If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid model, with in-office days on Mondays, Wednesdays, and Thursdays. Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks.

Location: Remote (US) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team As a Product Designer on Growth, you’ll turn ambitious ideas into meaningful experiences that move the business forward. More than 4 million Canadians trust Wealthsimple with their money. Your job is to grow that number by designing the experiences that turn clients into our biggest advocates. You’ll partner with Product, Engineering and Marketing to rethink our referral strategy, support our highest visibility campaigns, and lead 0 to 1 social features from the ground up. You'll help define and lead our entire growth domain, rethink how people discover and share Wealthsimple, and create experiences that make our products more valuable as our community grows. It’s an opportunity to shape a brand new product area, move fast, and turn great ideas into measurable impact. What you’ll do - Build the loops that fuel growth. Design experiences that turn discovery into acquisition, engagement into advocacy, and happy clients into our strongest growth channel, driving new clients and net deposits. - Help define Social at Wealthsimple. Explore and shape new ways for people to connect with their financial lives, from profiles and discovery to creators and sharing investing activity. - Reinvent referrals. Rethink how people invite others to Wealthsimple, including seamless, real-world experiences like QR-based invites. - Make big ideas tangible. Shape high-visibility campaigns like Monthly Millionaire and Match, creating experiences that reach millions of Canadians and give people a reason to engage. - Experiment your way to impact. Prototype, launch, measure, learn, and iterate. Know when to double down, when to pivot, and when to move on. - Own the experience end-to-end. Move fluidly from discovery and strategy to interaction design, polished visuals, and thoughtful micro-interactions. - Shape what we build next. Partner closely with Product and Engineering to turn ambiguous problems into clear opportunities, influence roadmaps, and bring ambitious ideas to life. Skills you bring - Growth design experience. You’ve designed consumer experiences across acquisition, activation, engagement, or retention, and can point to the impact your work made. - An experimentation mindset. You’re comfortable with A/B testing, funnels, and product metrics. You use data to sharpen your instincts, challenge assumptions, and make better decisions. - A point of view on social. You’re curious about what makes products engaging, shareable, and trustworthy, and understand how social experiences can create sustainable growth. - Exceptional product craft. You bring strong UX and visual design skills, particularly in consumer mobile experiences, and care about the details that make a product feel intuitive and delightful. - A bias for action. You’re comfortable with ambiguity, move quickly without sacrificing quality, and would rather test a thoughtful idea than debate it endlessly. - Strong collaboration skills. You communicate clearly, work naturally with Product, Engineering, and Marketing, and can bring others along with your thinking. - Curiosity about money. You’re interested in how people think about, interact with, and build wealth, and want to make that experience better. Depending on your level - Senior Product Designer: You’ve independently led high-impact growth initiatives from problem definition through launch and iteration, balancing strong craft with measurable outcomes. - Staff Product Designer: You’ve led complex, ambiguous initiatives, established direction for new product areas, and influenced product strategy and roadmaps across teams. Apply with a portfolio that shows: - Growth experiences you’ve designed and the metrics they moved. - How you navigate ambiguity, identify the right problem, and make design decisions. - How you translate a strong product idea into an intuitive and polished experience. - How you use AI. From shipping your own code changes to prototyping and research. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for an Enterprise Account Executive, Acquisition based in Spain who will be responsible for prospecting and closing new business across Iberia . You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. What You’ll Be Doing Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 5+ Years of experience in infrastructure technology sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Fluent in English & Spanish. Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Rewards In Spain, the OTE compensation range for this role is EUR 170,000 - EUR 220,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Berlin Office; Netherlands; Portugal; Germany; Austria; Lithuania; Ireland; Denmark; Belgium; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. As our portfolio is expanding, we're looking for an additional Customer Success Manager for our Guided segment. You will serve as the primary post-sales partner for a portfolio of approximately 30 enterprise accounts across the EMEA region, guiding customers from onboarding through scaled adoption and long-term expansion. You’ll run a strong operating cadence across customer engagements — including kickoffs, success planning, executive business reviews, adoption reviews, and renewals — helping customers translate product usage into measurable business outcomes and clear ROI. You will proactively manage customer health, identify risks before they become blockers, and drive resolution across technical and business stakeholders. In addition, you’ll help design scalable playbooks and programs that improve customer outcomes across the broader customer base. Working closely with Support, Solutions Engineering, Product, and Sales, you’ll turn technical success into durable revenue growth by driving adoption, renewals, and expansion opportunities that contribute to strong enterprise net revenue retention. WHAT YOU’LL BE DOING - Own a portfolio of n8n enterprise customers, acting as the primary post-sales partner across onboarding, adoption, and renewal - Lead customer kickoffs and success planning, aligning stakeholders on goals, timelines, responsibilities, and measurable outcomes - Drive onboarding and enablement across technical and business audiences, accelerating time-to-value and unblocking implementation challenges - Establish a strong operating cadence (health checks, executive syncs, QBRs), using customer data and adoption insights to guide priorities and decisions - Monitor customer health and product usage signals to proactively identify risks, manage escalations, and maintain stakeholder alignment - Quantify and communicate business value throughout the customer lifecycle, building ROI narratives tied to adoption, efficiency gains, and business impact - Identify and progress expansion opportunities (upsell/cross-sell), partnering with Account Executives on account strategies that drive customer growth - Partner closely with Support, Solutions Engineering, and Product teams to resolve blockers quickly and deliver a seamless customer experience - Provide structured, actionable feedback to Product and Engineering, representing customer needs and helping shape roadmap priorities REQUIREMENTS 🤝 Enterprise Customer Success experience: You’ve managed a portfolio of enterprise SaaS customers and can confidently run kickoffs, onboardings, stakeholder alignment, and QBRs end-to-end. 💻 Technical fluency: You can engage credibly with IT and engineering stakeholders across topics like APIs, integrations, authentication, environments, and automation architecture, and know when to escalate. 💼 Commercial acumen: You’ve supported renewals and expansion opportunities (upsell/cross-sell), with a track record of driving retention and growth outcomes. 📊 Value & outcomes mindset: You’re comfortable translating product usage into measurable business outcomes, ROI, and executive-ready narratives. 🧭 Operational rigor: You run a structured operating cadence, manage competing priorities effectively, and keep stakeholders aligned with strong follow-through. 🗣 Clear, high-trust communication: You communicate clearly with both technical builders and executive stakeholders, and you’re known for building durable customer relationships. 🤝 Cross-functional collaboration: You partner effectively with Sales, Support, Solutions Engineering, and Product to unblock customers and improve the customer journey. 🌱 Builder mindset in ambiguity: You thrive in fast-moving environments, take ownership, and enjoy building processes as the company scales. 🤖 Automation + AI curiosity: You’ve used automation, AI tools, or workflow platforms before and can bring ideas that improve customer value realization. NICE-TO-HAVES 🚀 Startup/scale-up experience: You’ve operated in high-growth environments and enjoy “building the plane while flying it.” 🎓 Technical or STEM education: Degree or equivalent experience in a technical field such as Computer Science, Engineering, or similar. 🧩 Familiarity with n8n or similar platforms: Experience with workflow automation, integration, or iPaaS platforms will help you ramp quickly. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.