Вакансии

Задачи: — Разработка и внедрение агентов на базе LLM, проектирование ML-компонентов платформы агентов. — Создание агентов, способных обрабатывать сложные multi-turn и multi-modal запросы пользователей. — Разработка систем маршрутизации задач, выбора инструментов и моделей, управление вызовами функций и оркестрация моделей внутри пайплайна. — Замена традиционных классификаторов LLM-пайплайнами и RAG-системами, трансформация старых архитектур в современные пайплайны с LLM, вызовом функций, планированием и рассуждениями. — Дообучение, настройка и интеграция моделей, оптимизация inference, работа с опенсорс-моделями и внутренними, включая fine-tuning, RL и адаптацию под платформу агентов. — Обеспечение быстрой и устойчивой работы агентов на продакшене, оптимизация inference и взаимодействие с инфраструктурой (Eagle, FP8, дистилляция, multi-dimensional parallelism). — Исследования и эксперименты с графами агентов и памятью, эксперименты с вызовами агентов, memory-подсистемами, симуляцией поведения, архитектурами reasoning и системами планирования. — Участие в разработке RL-моделей для обучения диалоговых агентов, постановка и реализация экспериментов с multi-turn reinforcement learning в масштабах Яндекса и Алисы. Требования: — Глубокие знания в Deep Learning и NLP. — Опыт работы с LLM и пайплайнами вокруг них (function calling, memory, RAG). — Опыт внедрения ML-систем в продакшен. — Системное мышление — от архитектуры до интеграции с инфраструктурой. — Владение Python и знакомство с PyTorch. — Готовность к кросс-функциональной работе с бэкендом и продуктовыми командами.

Location: Limassol; Cyprus; Belarus Workplace: hybrid About the Team   We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. Our Trading product line builds the trading terminal and toolset spanning options, CFD, FX, equities, and crypto. We operate across both regulated and offshore environments, which means part of our roadmap carries a compliance framework. Tasks: Own the direction's backlog end-to-end — from idea through post-release analysis Prioritize by numbers: a feature without a metric doesn't make it into the backlog Design experiments and analyze results, including the ones that don't work out Work hands-on with the domain: leverage, margin, stop-out, expirations, execution Requirements: 3+ years as a Product Manager or Product Owner in trading, brokerage, or fintech handling user funds Deep understanding of high risk instrument mechanics, not just the interface layer Comfortable pulling and analyzing data independently — SQL or confident BI tool usage Hands-on experience running A/B tests, with a clear grasp of the difference between "shipped" and "worked" Fluent in Russian and B2+ English Nice to have: Experience with MT5 or a proprietary trading platform Experience working under a regulator Track record of launching a product/instrument from zero What we offer: On-site work model in our office in Limassol Health insurance and mental health services 13th salary and 21 vacation days per year Catered lunches in the office Tuition reimbursement (kindergartens/schools) Training and Development opportunities Onsite Gym Corporate events and workshops Bonuses for special events (e.g., child's birth). With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.   Join us today, and let's shape the future of fintech together!   Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.   #LI-LR1

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Core owns the foundational journeys that define a user's relationship with OKX: account management, identity verification, moving and securing funds, and the risk, compliance, and customer support experiences that sit alongside them. It also covers the internal enterprise tools our support agents, PMs, and operations teams rely on every day to serve customers and run the business. These are among the most consequential surfaces in the product. They determine whether users feel confident enough to trade, whether they trust us with their assets and their data, and whether the teams behind the scenes can resolve issues quickly and well. AI is central to how Core works and what Core builds. On the product side, we design AI-powered support and assistant experiences that help millions of users get answers and resolve issues in real time. Internally, we are an AI-native team: we use AI to move faster, sharpen our thinking, and raise the quality of what we ship, and we design the AI-native tools our internal teams depend on. If you are excited to design with AI and to shape how AI shows up for both customers and colleagues, this is a place to do it at scale. As a designer on Core, you'll take ownership of these high-stakes experiences end to end. The problems are genuinely hard. You'll design across markets with fundamentally different regulatory requirements, from newly regulated regions to our established global user base, and your work will need to satisfy strict compliance and security standards while still feeling fast, clear, and reassuring. You'll partner closely with product, engineering, legal, and compliance, shaping requirements early rather than executing them late. This is work where the details carry real weight. If you want to influence how millions of users experience crypto at its most critical moments, and how the teams supporting them get their work done, Core is one of the most impactful places to do it at OKX. What You’ll Be Doing Own complex, high-stakes journeys end to end across account, assets, compliance, or support, taking them from problem definition to shipped, polished execution. Design AI-powered experiences, from customer-facing assistant and support flows to AI-native internal tools, thinking through how people and AI work together, and where trust, transparency, and control matter most. Partner with product, engineering, legal, compliance, and risk to define the real problem, then design solutions that balance regulatory and security requirements with a genuinely good user experience. Produce the full range of design artifacts as needed: user flows, journey maps, wireframes, high-fidelity designs, and interactive prototypes, backed by evaluative research. Work in an AI-native way, using AI to accelerate exploration, prototyping, and decision-making, and helping raise the bar for how the team designs. Shape the design vision for your area alongside UX Research, UX Writing, and product leadership, and influence the roadmap early rather than delivering to it. Raise the quality bar through design reviews, critique, and workshops, and bring rigor to ambiguous, high-consequence problems. What We Look For In You We hire against a shared set of competencies. Beyond craft, we look for how you think, decide, collaborate, and drive work forward. Craft and expertise. Deep design craft with a sharp eye for detail, and up-to-date knowledge of your field. You analyze problems methodically and turn them into simple, effective solutions you can execute end to end. Judgment in ambiguity. You cut to the root of a problem, make sound calls even with incomplete information, and find the optimal path rather than the obvious one. Core problems are rarely clean, and good judgment is what keeps users safe. Business and product sense. You understand how the business works and where it's heading, and you connect design decisions to strategy, metrics, and real outcomes, not just the screen in front of you. Collaboration and communication. You communicate with clarity and precision, build genuine trust with product, engineering, legal, and compliance, and give and seek feedback that raises the whole team's work. Partners see you as a collaborator, not a service function. Drive and curiosity. You ask why before you design, stay resilient when problems are hard or ambiguous, and keep pushing your craft and ideas forward. You question the brief rather than just building it. AI fluency. Genuine fluency and enthusiasm for AI. You already use AI tools in your own work, and you're excited to design AI-driven experiences, not just adopt the buzzword. Experience designing complex, multi-step flows, ideally in fintech, crypto, or another regulated or high-trust domain. 3+ years of experience shipping end-to-end design solutions in cross-functional teams at a tech company. Nice to Haves Experience designing AI or conversational interfaces, or a track record of using AI to change how you work as a designer. Interest in designing complex internal tools and operational workflows, not just customer-facing surfaces. Exposure to data-informed design. You're comfortable interpreting user insights, behavioral data, or A/B test results. Familiarity with design systems and the ability to scale consistency across platforms. Prototyping skills to bring ideas to life and communicate transitions or microinteractions. Experience working across time zones with distributed teams. You know how to stay aligned and communicate with clarity. A degree in design, HCI, or a related field. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:  We're seeking a Senior AI QA Test Automation Engineer to take a leading technical role in AI quality and test automation. You will work primarily with our AWS Bedrock AgentCore-based CX Agent Suite, a multi-agent customer-support system covering intent routing, FAQs, deposit-status queries, and human handoff. You will design and build the evaluation and QA tooling required to validate AI agents reliably, while also contributing to technical standards and best practices across QA.  This is a Senior Individual Contributor (IC) role with a strong technical and strategic focus. You'll work closely with QA leadership, Data Science, and Engineering to architect scalable AI evaluation systems, establish technical standards, and drive the evolution of our AI evaluation framework. Our current evaluation harness is based on DeepEval and is evolving towards a broader agentic evaluation architecture. You will have the opportunity to evaluate and prototype emerging agent-orchestration approaches, including Strands Agents, and contribute to architectural decisions around their adoption. The main responsibilities of the position include: Act as the primary technical enabler for QA, building scalable AI/ML frameworks, libraries, and tooling for the CX Agent Suite and beyond Design and build AI evaluation pipelines that assess the CX Agent Suite's multi-agent responses (Intent Detector, FAQ Agent, Missing-Deposits Agent) for accuracy, relevance, tone, hallucination rate, safety/guardrail compliance, and task completion — extending or replacing the current DeepEval-based evaluation harness Evaluate and prototype Strands Agents (or comparable agent-orchestration frameworks) for building self-evolving, autonomous QA agents, and drive the go/no-go decision on adoption Collaborate with QA, Data Science, and Engineering to integrate AI-driven testing into the existing GitLab CI/CD pipeline (dev → test → staging → prod), alongside Terraform-provisioned, EKS/AgentCore-hosted services Build resilient and adaptive automation that can detect and respond to changes in agent behavior, Bedrock Guardrails configuration, and routing logic Develop data-driven quality analytics, including root-cause analysis, quality trends, and intelligent test prioritization, leveraging existing observability and evaluation data from OpenTelemetry, CloudWatch, X-Ray traces, and LangFuse offline evaluation runs Lead research into emerging AI testing methodologies and mentor engineers through code reviews, workshops, and architectural guidance Main requirements: BSc/MSc in Computer Science, AI, or a related discipline 6+ years of hands-on experience in QA/Test Automation, with strong experience designing and maintaining automation frameworks 1+ years of experience applying AI/ML in software testing or QA process improvement, with a proven track record of bringing AI/ML solutions into production workflows Strong Python skills, with experience working in Python/AWS-centric technology environments; Java and/or TypeScript is a plus Hands-on experience with LLM evaluation techniques, including LLM-as-a-judge, human-in-the-loop evaluation, RAG, and multi-agent orchestration patterns Practical experience with DeepEval or comparable evaluation frameworks, along with familiarity with agent-orchestration SDKs such as Strands Agents Knowledge of LLM tooling, vector databases, and MLOps pipelines Experience integrating AI tooling into enterprise CI/CD environments, particularly GitLab, and working with containerized cloud-native environments such as Docker and Kubernetes/EKS Strong communicator, able to influence technical decisions and drive engineering standards across teams The following will be considered an advantage: Experience with autonomous QA agents or agentic orchestration frameworks for self-evolving test suites Experience with LLM observability tools such as LangFuse, LangSmith, or Arize, particularly for measuring probabilistic and adversarial robustness Knowledge of AI ethics, fairness, and bias detection for guardrail and model validation Experience with gRPC, WebSockets, and/or HTTP/2 Experience with AWS Bedrock, plus familiarity with GCP Vertex AI and/or Azure AI Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

Location: Boston, MA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.   ABOUT THE ROLE We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.   WHAT YOU'LL DO - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript - Engage directly with customers to understand their needs and translate them into actionable product improvements   WHAT YOU'LL BRING - Experience managing or tech-leading teams delivering complex full-stack products - Strong technical background in Go/Python and React/Typescript - Solid understanding of databases (Postgres, Redis and ClickHouse) - Proven ability to design high throughput data-intensive systems - Bias towards shipping quickly and learning from customers - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms   Annual salary range: $220,000- $270,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Задачи: — Разработка и внедрение автономных ИИ-агентов и генеративных моделей (LLM, мультимодальные системы) для ускорения проектирования, разработки и развертывания ERP-систем, а также создания интеллектуальных интерфейсов автоматизации — от генерации кода до обработки естественно-языковых запросов пользователей. — Создание ИИ-сервисов и автономных агентов для автоматизации бизнес-процессов. — Обучение и тонкая настройка LLM (Large Language Models) и других ML-моделей под задачи компании. — Анализ данных, разработка алгоритмов для прогнозирования, оптимизации и принятия решений. — Интеграция ИИ-решений в существующие продукты компании. — Участие в научно-исследовательских проектах, публикация результатов (при желании). Требования: — Опыт в работы в IT от 5-ти лет. — Опыт работы в области Machine Learning, Deep Learning или Data Science от 3-ех лет. — Знание Python и ряда библиотек для ML/DL таких как TensorFlow, Pandas, PyTorch, scikit-learn и др. — Опыт работы с NLP, LLM (GPT, Llama, Mistral и т. д.), RAG, автономными агентами. — Понимание принципов работы ERP-систем (желательно). — Умение работать с большими данными (SQL, NoSQL). — Знание методов обучения с подкреплением (RL) — будет плюсом. — Английский язык (уровень для чтения технической документации). Условия: — Официальное оформление и стабильный доход по ТК РФ. — Все льготы и преимущества работы в аккредитованной ИТ-компании. — Программа ДМС с первых дней. — Работа в офисе с гибким началом рабочего дня. — Московский офис в шаговой доступности от м. Динамо, оборудованный всем необходимым для комфортной работы и отдыха.

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

About TestGorilla: TestGorilla is a 100% remote company founded in 2020, building a skills-based talent discovery platform to replace reliance on resumes with scientific validation of skills. The company aims to place 1 billion people in their dream jobs and is currently scaling up. About the role: The Senior People & Talent Operations Partner owns People Ops as a product, including systems, compliance, and self-serve workflows that enable the People & Culture function to run efficiently. The role involves managing payroll, compliance, and HR systems across 35 countries, building AI/automation and self-serve layers, and working in a lean two-person team directly with the Head of People & Culture. The role requires autonomy, candid communication, empathy, structure, and organization. Responsibilities: — Uphold company behaviors and foster an inclusive, supportive culture. — Design, build, and maintain a smart, automated, AI-enabled people journey from pre-boarding to off-boarding. — Be the technical owner and orchestrator of the HR tech stack, ensuring tools are unified and integrated. — Own non-Finance payroll, invoicing, contract administration, and compliance across all operating countries. — Manage data privacy, recordkeeping, and the relationship with the Employer of Record (EOR) vendor. — Configure and troubleshoot hiring tools to enable hiring managers to run searches independently. — Maintain documentation for self-serve processes accessible to humans and AI agents. — Collaborate to maintain a balance between self-serve and human involvement in People processes. Requirements: — Passion for TestGorilla's mission. — Excellent written and verbal English communication skills. — Experience building and owning sophisticated automations (Zapier, n8n, Make.com) as part of an integrated HR tech stack. — Experience managing payroll, compliance, or HR operations across multiple countries, ideally with EOR or mixed entities. — Deep, hands-on HRIS experience; HiBob experience is a plus. — Product mindset focused on user feedback and iteration. — Experience working in high-autonomy, async-first, remote-only environments. — Ability to combine operational rigor with empathy and handle sensitive matters. — Opinionated, candid, with strong feedback and stakeholder management skills. — Typically 5+ years of relevant experience, but emphasis on ownership, impact, and progression. Bonus skills: — Experience with ATS or hiring platforms like Ashby, Greenhouse, or Lever. — Experience with EOR providers such as Remote, Deel, or Oyster. — HRIS implementation or migration experience. — Experience supporting teams through organizational change. Conditions: — Hired as an Individual Contractor. — Fully remote global team. — Competitive base pay €56,520 - €70,650 plus Share Appreciation Rights (SARs), no bonus. — Remote and flexible work with asynchronous hours. — Remote work budget €1,000 per year or up to €2,000 from day one for laptop purchase. — Learning and development budget of 3.5% per year with growth opportunities. — Caregiver support including paid parental leave and tailored return-to-work. — Unlimited and flexible time off policy. Application process: Candidates apply via the provided link and complete an AI-powered skills assessment. Hiring decisions are made by humans. Support and accommodations are available for assessments. Applications close September 20, with interviews following.

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 This is a sourcing-first role, not a deal-closing role. Baseten needs someone who can build and maintain deep relationships across the long tail of data center and powered land providers, well beyond the handful of large, well-known players that everyone in the market is already competing for. This coverage area is a key differentiator for Baseten's broader compute strategy, so we're looking for the best possible person in this specific lane rather than a generalist. You'll own the full lifecycle of a sourcing relationship — from first outreach to ongoing management — not just the introduction. WHAT YOU'LL DO - Build and maintain a comprehensive map of data center and powered land opportunities, with a particular focus on the long tail rather than the handful of major, oversubscribed players - Own the full sourcing lifecycle for each relationship — from identifying and reaching out to new providers, through negotiation support, to ongoing relationship management — not just the initial introduction - Develop and manage sourcing relationships across neoclouds, hyperscalers, brokers, and independent operators - Quickly and independently evaluate new sites and spaces to determine fit and priority - Prepare business cases and cost analysis to support new data center and powered land opportunities, partnering with Finance where needed - Maintain accurate records of suppliers, contracts, and commercial terms so the team has a reliable source of truth - Protect Baseten's standing relationships carefully — this role requires real judgment about not burning bridges with the very providers we depend on elsewhere - Feed market intelligence back into the broader Supply team, including regular updates on pricing and market developments, to support deal strategy and prioritization WHAT WE ARE LOOKING FOR - A sourcer at heart, not a dealmaker — someone who thrives on building and maintaining a large network of long-tail relationships rather than closing individual transactions - Strong project management instincts — you own the full lifecycle of a relationship, not just the handshake - Background in neocloud, hyperscaler, or brokerage environments where data center or land sourcing was part of the role - Ability to independently assess and prioritize opportunities without heavy hand-holding - Comfortable with commercial analysis — building business cases, tracking costs, and engaging in contract-level conversations with suppliers - Judgment and discretion in relationship management, given the sensitivity of sourcing from providers Baseten also depends on in other contexts NICE TO HAVE - Existing relationships across the data center and powered land brokerage community - Familiarity with the broader GPU/compute supply landscape and how it intersects with power and site availability - Experience managing supplier contracts or commercial records across multiple vendors or regions 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: 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 This role owns Baseten's relationships and market intelligence across hyperscalers and strategic neoclouds, including NVIDIA cloud partners. This is a technical and commercial role in equal measure: you'll evaluate capacity from the GPU to the data center, negotiate cost and terms with suppliers, and stay close enough to the market to develop and defend a real point of view on where it's heading. Given current market conditions, Baseten needs a much stronger pulse on this part of the market so we can track pricing, stay close to the right relationships, and move fast the moment more capacity is needed. This is a senior, experienced hire who will also help pair with and develop 1-2 junior to mid-level teammates covering the same space. WHAT YOU'LL DO - Build and maintain deep relationships across hyperscalers and strategic neoclouds (including NVIDIA cloud partners), working each organization from top to bottom rather than a single point of contact - Maintain a consistent, "top of mind" presence with key accounts so Baseten is positioned to move quickly when capacity needs arise - Evaluate capacity from the GPU to the data center — hardware generation, rack and node configuration, interconnect, power density, and cooling — so you know what a configuration will actually deliver, not just what the spec sheet claims - Live in compute pricing daily: track rates by GPU generation, region, and contract term to keep Baseten informed and competitive - Partner with the Deals function to negotiate terms — capacity commitments, deposits and payment timing, SLAs, and remedies — and bring agreements to close - Build and defend a view on where the hyperscaler and neocloud market is heading — supply coming online, platform transitions, and regional or policy shifts — and turn it into concrete relationship and sourcing decisions - Help mentor and pair with 1-2 junior to mid-level teammates building coverage in this same space WHAT WE'RE LOOKING FOR - A relationship-builder with a strategic mindset — this is not an enterprise sales role, and we're specifically not looking for a traditional seller's approach - Enough technical fluency with GPUs, racks, and data center infrastructure to evaluate what a supplier is actually offering, not just take their word for it - Market instinct — you follow pricing closely, form independent views, and can explain why a rate moved and what it implies going forward - Commercial judgment — comfortable with unit economics and contract structure, and know when a price implies something is wrong - Experience building and sustaining multi-level relationships within large, complex organizations - Strong judgment on when and how to escalate relationships to senior leadership for maximum impact NICE TO HAVE - Existing relationships within hyperscalers or major neocloud providers, including NVIDIA cloud partners - NVIDIA or OEM allocation relationships — experience managing allocation, forecasting, or partner standing directly with a chip vendor or tier-1 OEM - Comfort traveling to evaluate sites and infrastructure in person - Experience in a compute, GPU marketplace, or infrastructure-adjacent relationship or business development role 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: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products. Please bring with you: — Ability to apply your machine learning knowledge to solve real product problems. — At least seven (7) years of experience as a software engineer, with at least 2 years at senior level. — Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture. — Strong alignment with commercial success. — Pragmatism and bias towards action. — Comfort with fast iteration. Why join us? — We’re living the golden age of AI. — Our culture is focused on building and empowering people to work fast. — Serving 50,000+ customers including 50% of the Fortune 500. — Proprietary AI technology built in-house by world-class AI researchers and engineers. — Commitment to AI safety, ethics, and security. The hiring process includes: — Tech Recruiter Interview (30-40min) covering technical background and experience. — Delivery and Impact Interview (60min) deep dive into past projects and impact. — Technical Rounds including Work Scenario Round (75-90min) and System Design Technical Discussion (60min). — Leadership Retrospective (60min) discussing collaboration, growth, and role expectations. — Final debrief leading to offer or end of process. Other important info: — Preference for role based in-office or remote in UK, Germany, Switzerland or Ireland, with possible support for remote workers elsewhere in Europe. — Salary starts at EUR/GBP/CHF 120,000 base plus RSUs. — Full-time employment only, no contractors. — 25 days of leave plus local holidays.

What you’ll do Participate in the Master Class Program designed to pivot experienced professionals into Life Sciences Consulting. Own key workstreams on customer-facing engagements early in the program to create high-impact business solutions. Collaborate with team members at all levels of Veeva to accelerate consulting skills development. Contribute to building effective business and operational improvement strategies powered by Veeva’s industry insights and technology. Support initiatives focused on speeding drug development, launching treatments more effectively, and shaping optimal customer engagement. Who you are You are graduating with an advanced degree or have 3-5 years of industry experience. You are excited to pivot your career into consulting for the Life Sciences industry. You are eager to join a program with an anticipated start date of April 2027. Requirements Advanced degree or 3-5 years of industry experience in a relevant field. Interest in transitioning into Life Sciences Consulting through the Master Class program. Ability to contribute to customer-facing engagements and collaborate across teams. Benefits & perks Structured Master Class program designed to accelerate consulting skills development. Exposure to industry-leading software, data, AI, and consulting expertise. Team description Veeva Business Consulting combines deep domain knowledge with innovative technology to help Life Sciences companies work more efficiently and connectedly. The team focuses on speeding drug development, launching treatments, and shaping stakeholder engagement using Veeva’s industry insights and technology. Location France (Master Class program, anticipated start April 2027).

Location: London, UK Workplace: OnSite ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Accounting Channel is a key growth driver for the company, and we're looking for a founding Channel Partner Manager to help build our UK accounting-partner motion from the ground up. As an early member of the team in London, you'll have the opportunity to shape how Ramp partners with accounting and advisory firms across the region; building the relationships, go-to-market strategy, and repeatable motions that fuel long-term growth. This role is for someone who thrives in ambiguity, moves quickly, and takes ownership without being handed a playbook. You'll acquire and grow relationships with accounting and advisory partners, enable their teams, and generate revenue through client referrals. You'll also help us adapt Ramp's partner strategy to the commercial and cultural nuances of the UK markets. WHAT YOU'LL DO - Source, qualify, and conduct deep discovery with net-new accounting and advisory partners across the UK - Sign partners and build comprehensive go-to-market plans that create a scalable referral motion - Drive revenue for Ramp by generating and converting client referrals from accounting firms - Build relationships with multiple stakeholders within partner firms, from firm leadership to client-facing teams - Educate partners on Ramp's offering and clearly articulate the value we deliver to both their firms and their clients - Enable and onboard partner team members so they can confidently identify, position, and refer Ramp - Hold monthly and quarterly business reviews with key partners; use performance data and feedback to identify new growth opportunities - Adapt your approach to the cultural, commercial, and regulatory nuances of the UK accounting landscape - Work cross-functionally with marketing, growth, direct sales, and product and engineering to develop co-marketing opportunities, onboard referred clients, and inform the product roadmap - Become an expert in Ramp's product, features, and workflows - Build new (and improve existing) workflows, sales motions, and partner programs that contribute to the team's continued success - Own partner activity, pipeline, forecasts, and revenue targets with disciplined follow-through and CRM hygiene WHAT YOU NEED - AI fluency as a daily habit. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment - 4+ years of experience in partner sales, business development, partnership management, full-cycle sales, or channel partnerships - Strong discovery skills and a consultative approach to uncovering partner pain points and growth opportunities - A track record of consistently meeting or exceeding revenue targets and quotas - An entrepreneurial mindset and the ability to operate with high autonomy in a fast-paced, evolving environment - A strong bias for action, with a dedication to tracking performance and improving efficiency every day - Excellent written and verbal communication skills, including strong listening and stakeholder-management skills - Proven ability to build relationships with senior and day-to-day stakeholders, both externally and across the company - Ability to work five days per week from our London office, with willingness to travel across the UK NICE TO HAVES - Experience partnering with accounting firms in a consulting, sales, or partnerships capacity - Knowledge of the UK accounting and advisory ecosystem - Background or proficiency in accounting - Experience launching a new territory, vertical, or partner program - Experience in a direct sales closing role - Fluency in additional European languages - Prior CRM experience, preferably Salesforce - Fintech or financial-services sales experience BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Bucharest, Romania Workplace: hybrid Driving Revenue Growth & Strategic Client Expansion As a Client Partner, you will play a key role in driving commercial growth and expanding Aleph’s footprint in Romania, directly contributing to revenue generation, portfolio expansion, and long-term strategic client partnerships. This is a revenue-driven, commercially focused role responsible for owning a book of business, identifying new growth opportunities, and positioning Aleph as a strategic partner within the digital advertising ecosystem. About Aleph Aleph is a global leader in digital advertising and fintech, operating across 130+ high-growth markets. We provide the bridge between 55+ of the world’s leading digital platforms and local businesses, combining global scale with deep local execution. With 90+ offices worldwide, we empower our sales teams to drive growth through exclusive partnerships and localized expertise. ✨ Why Build Your Career at Aleph At Aleph, your work has real impact. You’ll join a fast-growing, innovative, and collaborative team that encourages initiative, creativity, and ownership. Here’s what makes Aleph unique: 🌍 Global exposure – collaborate with colleagues and clients across multiple countries. 💡 Creative culture – bring bold ideas, test new approaches, and shape strategies. 📈 Career growth – move across teams, take on new responsibilities, and expand your expertise. 🏢 Flexible work culture – we offer flexibility to balance focus and collaboration. 🎁 Well-being & growth – enjoy a benefits package designed to support your personal development and overall quality of life 🎯 What You’ll Do: Revenue Growth & Portfolio Expansion Sell digital Advertising solutions to both new and existing advertisers Proactively generate new leads, build a robust sales pipeline, and maintain accurate CRM records of all sales activities Consistently achieve sales targets while delivering a high-quality customer sales experience. Accurately forecast weekly, monthly, and annual revenue performance. Strategic Client Leadership Build and maintain a strong network of contacts across key verticals through industry events, outreach, and market engagement. Engage regularly with new and existing clients to understand campaign objectives, KPIs, and future marketing plans. Recommend tailored solutions from the product portfolio to help clients achieve their business and marketing goals. Lead onboarding processes for new clients, including guiding them through legal and compliance requirements. Market & Cross-Functional Impact Stay up to date with market trends and competitor activity to identify new business opportunities Introduce Aleph to new prospects and expand presence across target industries Collaborate closely with Client Solutions Managers (Account Managers) to ensure smooth campaign launches and execution Provide timely, actionable feedback to clients to optimize performance and strengthen relationships 🛠 What You Bring : 3+ years of Digital advertising experience, either in Business development, Account management or Ad Sales experience Comprehension of the local advertising ecosystem, including a comprehensive understanding of key players and stakeholders within the industry Strong commercial skills (responsible for direct revenue) Direct experience in paid search advertising, performance advertising and e-commerce You can work independently and set your own workflows to achieve sales targets You're fluent in Romanian and English. 🎯 How Success Looks As a Client Partner at Aleph, success means driving real business results for clients while making a measurable impact on the team and the company. You’ll know you’re thriving when: Clients trust you as a strategic partner, seeing tangible growth and measurable improvements in their campaigns and overall performance. You consistently hit or exceed your individual revenue and performance targets while contributing to the team’s collective goals. You identify opportunities for expansion, optimizing strategies and processes to deliver smarter, more efficient campaigns. You actively bring in new clients and business opportunities, closing deals that fuel both client growth and Aleph’s market expansion You actively collaborate, share knowledge, and bring innovative ideas that improve outcomes for clients and the team alike. 🚀 Ready to Make an Impact? If you’re excited to grow client relationships, drive business results, and shape the future of digital advertising, Aleph is the place to make it happen. Apply today and become part of a team that’s transforming client success locally and globally.  In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is RON 114,240. In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.   #ALEPH

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: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia If you want to build and own the systems that decide what JetBrains customers are entitled to use and bill them accurately for it, this is for you. You will focus on designing backend services, keeping complex commercial flows correct, and tackling hard distributed systems challenges on the critical path of every paid request. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do At JetBrains, the Cloud Platform department builds the underlying infrastructure that powers authentication, paid capabilities, usage metering, and accounting. Within this department, the Licensing & Billing team sits right at the center of our commercial model, turning what a customer buys into what they are actually allowed to use, and accounting for that consumption accurately enough to bill on. The complexity of our entitlement, quota, and metering systems continues to grow. In this role, you will own the correctness and evolution of these backend services, take full ownership of end-to-end data flows, tackle distributed consistency across unreliable upstream systems, and ensure revenue-affecting data migrations happen cleanly without taking services offline. Day to day, you will: Design, build, and operate backend services that decide what a customer is entitled to and what their usage costs. Own flows end to end, from ingesting licensing and purchase data from upstream systems to enforcing quotas and recording consumption. Evolve our domain model to handle new commercial structures, combining seat-based plans and usage-based models. Design integrations with external systems, ensuring correctness through idempotency, ordering, reconciliation, and eventual consistency. Plan and execute live data migrations using feature flags, dual writes, backfills, and verification at every stage. Build observability into our systems by defining invariants, metrics, and alerts to catch silent divergence before customers do. Design internal APIs with explicit focus on versioning, backward compatibility, and developer experience for other JetBrains teams. Improve system performance and reliability under continuous production load while decommissioning legacy subsystems. Write integration tests against real dependencies and maintain reliable test infrastructure. Investigate production incidents, find root causes, and follow through on lasting fixes. What you’ll bring An engineer’s dedication to accuracy, especially in domains where system errors have direct financial impact. Pragmatic judgment when designing distributed systems where correctness under unreliable delivery is the main constraint. A habit of trusting metrics, traces, and logs to understand production behavior rather than relying on assumptions. Comfort navigating and simplifying large existing codebases containing legacy decisions. Clear, direct communication skills to agree on API contracts across teams with different priorities. A focus on testing as an essential design tool rather than an afterthought. What you’ll need A proven track record of building and operating backend services on the JVM platform using Kotlin or Java. A solid working knowledge of relational databases, including transactions, isolation levels, locking, indexing, and live schema migrations (PostgreSQL preferred). A deep understanding of distributed systems patterns, such as idempotency, retry strategies, eventual consistency, and data reconciliation. Practical experience making live data migrations or system changes without downtime using feature flags and staged rollouts. Experience designing versioned, backward-compatible APIs for other engineering teams. Hands-on experience with event-driven architectures and message brokers like Kafka. The ability to diagnose, debug, and resolve production incidents in complex environments. Proficiency in both written and spoken English. What success looks like Success in this role means building a bulletproof entitlement and metering foundation that product teams can trust without hesitation. You will have successfully migrated live commercial systems to support new billing models without downtime or data divergence. Silent errors will be caught automatically by system invariants before affecting users, and internal teams will integrate seamlessly with your clean, versioned APIs. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role) Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-KT1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Tashkent Workplace: remote <Job Title> – <City or Country> (use Heading 3 Font and Bold) The Role: (Use Normal and Bold) Description use Normal The main responsibilities of the position include: Define and create country - specific marketing strategies. Develop and implement demand and lead-generation marketing & rollout plans for the Uzbek Market. Launch marketing campaigns as well as evaluate success and deliverables based on KPIs. Assist the Marketing and the Business Development functions to carry out market research during the country penetration stage, in respect to the country’s ethics, culture, customs, etc. Provide support for marketing events and exhibitions as required. Assist in the ongoing marketing activities as well as support the marketing team and other regional teams as necessary. Manage the regional marketing team and handle relevant delegated projects. Stay on top of current trends and best practices. Perform any other related tasks as assigned by the Business Development Manager. Main requirements: Degree in a marketing, advertising, communications or a business-related field. At least 4 years of experience in a similar role. Native Uzbek and Russian speaker and very good knowledge of English. Solid experience with managing teams. Excellent knowledge of marketing analytics and metrics features. Strong digital marketing skills. Strong project management skills will be considered an advantage. Outstanding communication and interpersonal skills. Highly organised and ability to multitask. Dynamic and target oriented. Benefit from: Attractive remuneration package plus performance related reward. Intellectually stimulating work environment. Continuous personal development and international training opportunities. The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Test your edge – Aptitude Assessment Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Get Closer – Second Interview with the Future Team Test your edge – Personality Assessment Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.