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Location: Berlin, Germany Agents are authoring entire data systems. The bottleneck is no longer writing pipelines, but understanding, governing, and trusting what they produce. dltHub provides the infrastructure that enables data teams in large enterprises and scale-up companies to run their data stack autonomously. Our open-source Python library, dlt, offers agents and developers transparent, composable building blocks for data ingestion (schema inference, normalization, incremental loading, and data contracts), designed from the start for the AI era. Built on dlt, dltHub is the AI-native data engineering platform for teams of humans and agents: a managed layer over any warehouse that lets both your team and their agents generate, validate, and manage high-quality data at scale. As we grow, product communication and sales collateral are critical for our success. We are hiring a Product Marketing Manager to lead building the bridge between our customers and our product team. Mission of the Role Make dltHub as compelling to business leaders as it is to engineers, and drive enterprise opportunities through a strong message, launches, and enterprise-level communication. What you'll actually work on Product Launches. You own the process and delivery of our product launches and ensure we communicate our product vision and new product capabilities consistently to a growing audience. We launch new products every few weeks. Recent examples include the public preview of Transformations , a companion post for practitioners , dltHub Pro , dltHub for Teams , and our vision for an autonomous data platform . Enterprise communication. You ensure we are speaking with one voice and represent our brand consistently in everything we say and do. You take ownership of our website communications. Customer collateral. You take our customer success stories and blueprints, like the ontology and semantic layer , to the next level of excellence. These come from engagements with our customers and our Solutions Engineering team. You interview the customer and write them. Content marketing. You coordinate our content marketing creation and distribution efforts. Work with our content writers. Plan the schedules and ensure that the content speaks our language The link between Product and GTM. You align stakeholders, drive the launch schedule, and close gaps in messaging, sales enablement, and launch readiness. Coordinate our product marketing activities and keep the team aligned. What success looks like: In 90 days, you run launches end to end, and our story is consistent across the website, sales collateral, and decks, with messaging that speaks directly to business buyers. In 6 months, you've built a repeatable process that trains sales on that story, and we can see it working (e.g. in win rate with business buyers & deal velocity) Ongoing, you own the marketing plan: one lean, visible roadmap where everyone can see what we're doing, why, and in what order. Requirements You can write clearly about technical subjects. Your style is clear and not full of marketing talk. Please read the post on the Transformations launch and the page at dlthub.com/security . If you think you can do better, you are the person we're looking for. You have been targeting US enterprise customers and are therefore familiar with what a senior technical stakeholder actually reads. Our customers are the lead personnel regarding data platforms and the people who approve decisions on their behalf, both in the US and in the EU. You can talk with a data engineer about pipelines, schemas, and warehouses without being one. You do need to understand what our product does. You've carried out launches from start to finish, which involved you choosing the audience, deciding on the message, and selecting which assets were worth developing, before building most of them yourself. You need to be able to keep agents in control and build agentic workflows while ensuring our external presence conveys a human touch. You have a basic understanding of data workflows. This probably isn't for you if You rely on a formal brief and a kickoff meeting before getting started, this role is not for you. While you'll have access to design support, you're expected to independently draft the first version of the post, the page, and the deck without waiting for a request ticket. You want to own strategy and hand execution to someone else. You can't work from our Berlin office regularly. Benefits We organize our work around each person's autonomy and efficiency, with set hours for communication and for deep work. We are an office-first company that also offers plenty of room for deep work and working from home. Dedicated meeting-free days let the team focus on their most important work. We cover your Berlin public transportation ticket. We are deeply committed to your personal and professional growth, and as such, we allocate an annual budget for learning and development. We offer regular subsidized team lunches and Urban Sports Club membership. We have an ESOP scheme available to employees, taking into account their impact on the product and the company.

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports;

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As Director, Analytics Engineering, you’ll lead the roadmap, architecture, and team responsible for the trusted data foundations that power 1Password’s business. You’ll shape how data is modeled, tested, documented, governed, and made available to teams across Marketing, Finance, Product, Analytics, and Data Engineering, while staying close to the technical work when it matters. By building reliable data foundations for Artificial Intelligence (AI), you’ll help advance 1Password’s mission to create a safer, simpler digital future. Reporting to the VP, Data Analytics, this role is remote within the United States and Canada. How we’re using AI today On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision-making across 1Password. AI helps us move faster and sharpen our thinking, from summarizing context and pressure-testing assumptions to turning complex inputs into clear executive-level narratives. We bring AI into our work thoughtfully, improving repeatable workflows while staying accountable for the accuracy, confidentiality, and controls behind every output, creating space to focus on judgement, strategic partnership, and meaningful business outcomes. This is a remote opportunity within Canada and the US. What we're looking for: • Significant experience in data engineering, analytics engineering, or data architecture, including experience leading and developing teams. • Strong Structured Query Language (SQL) and dbt experience, including advanced data modeling, incremental processing, testing, documentation, and multi-environment deployment. • Deep knowledge of dimensional modeling, such as Kimball or star schema approaches, applied in complex Business-to-Business (B2B) Software as a Service (SaaS) environments. • Experience with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift, including decisions related to performance, cost, and scale. • Experience establishing semantic layer strategies and trusted metric definitions across an organization. • Ability to translate complex business priorities into a clear data platform roadmap and communicate effectively with senior stakeholders. • Experience with Continuous Integration and Continuous Delivery (CI/CD), orchestration tools such as Airflow, Dagster, or Prefect, and AI-assisted analytics engineering workflows. What you can expect: • Own the vision, roadmap, and execution for 1Password’s analytics engineering function, including core data models, semantic layers, Business Intelligence (BI) tooling, and pipeline infrastructure. • Hire, manage, and develop analytics engineers while establishing clear career ladders, leveling expectations, and performance practices. • Set standards for data modeling, testing, documentation, code review, deployment, and data quality. • Stay close to the technical work by reviewing complex dbt models, optimizing SQL, and helping troubleshoot high-priority pipeline issues. • Serve as a senior technical partner on data modeling and metric governance, ensuring definitions are consistent, trusted, and well documented. • Partner with leaders across Data Engineering, Analytics, Finance, Marketing, Product, and Go To Market (GTM) teams to turn business needs into a prioritized roadmap. • Build governed, reliable data foundations that support company-wide decision-making, AI initiatives, and Generative BI experiences. USA-based roles only: The annual base salary for this role is between $204,000 USD and $306,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $200,000 CAD and $300,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. RESPONSIBILITIES - Set technical direction for your team and guide architecture decisions across the enterprise platform. - Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. - Shape roadmaps with product and design, applying strong technical judgment and product intuition. - Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely. - Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt. - Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Work with Perplexity’s co-founders to deliver enterprise engineering priorities. QUALIFICATIONS - Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers. - Domain expertise in at least one of the following areas: - Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries. - Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI. - Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems. - Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability. - Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable. - Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively. - Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent. - Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions. - Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus. - 8+ years of engineering experience, with at least 4 of those years as an engineering manager.

Location: Germany Workplace: Hybrid WHY INTEGRATIONS ENGINEERING AT LANGFUSE Your work puts Langfuse into developers’ hands. Our SDKs are downloaded 26M+ times per month, and for many developers the first thing they touch is an integration — a few lines of code that connect their favorite framework to Langfuse. When that experience is seamless, they’re wow’ed. When it’s not, we might have lost them. You’ll own that critical first impression across 40+ framework integrations. You’ll live at the frontier of LLM application development. The AI framework ecosystem moves fast — new agent frameworks, orchestration libraries, and model providers emerge every week. You’ll be among the first to instrument them, giving you unmatched exposure to how cutting-edge AI applications are built. The developers you serve are some of the most ambitious software engineers in the world, and working closely with them will make you an expert on LLM engineering yourself. Everything you build is open source and immediately visible. All Langfuse integrations are MIT-licensed. When you ship a new integration or improve an existing one, thousands of developers benefit the same day — and they’ll tell you about it in GitHub issues, on Twitter, and in our community channels.   WHAT YOU’LL DO - Build and maintain framework integrations. Langfuse integrates with 40+ frameworks and model providers: OpenAI SDK, Vercel AI SDK, LangChain, LlamaIndex, Pydantic AI, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, LiveKit, and many more. You’ll own these integrations end-to-end — from initial implementation to ongoing maintenance as frameworks evolve. When a new framework gains traction, you’ll be among the first to instrument it. - Design new integration patterns for emerging frameworks. When a framework or a new agent orchestrator appears, you’ll evaluate it, design the right instrumentation approach (callback handler, decorator, OTEL auto-instrumentation, or a combination), build the integration, write the docs, and ship it. You’ll develop strong opinions on what makes a great integration experience. - Contribute to the core SDKs. While integrations are your primary focus, your work will surface needs in our Python and TypeScript SDKs. You’ll contribute improvements to the core SDK when your integration work demands it — whether that’s a new hook point, better context propagation, or performance optimizations. - Write documentation and integration guides. At Langfuse, docs are part of our core product. When you ship a new integration, the guide ships with it. You’ll own the integration docs, quickstart tutorials, cookbooks, and migration paths that help developers get started in minutes. - Be a voice in the developer community. You’ll engage with framework communities, respond to integration-related GitHub issues, write blog posts about new integrations, and be present in our Slack/Discord channels. You’ll build relationships with framework maintainers and represent Langfuse in the broader AI developer ecosystem. WHAT WE’RE LOOKING FOR - Passionate about the LLM ecosystem. You’ve built real applications with frameworks like LangChain, Pydantic AI, Vercel AI SDK, LlamaIndex, or similar — or you have a deep willingness to go deep and get your hands dirty with every major framework in the space. You’re excited about this ecosystem, not just familiar with it. - Strong in Python and/or TypeScript. You write clean, reliable code. You don’t need to be a systems-level performance expert, but you care about code quality and understand that integrations run inside other people’s production systems. - Product-minded engineer. You think about the developer who’s going to use your integration at 11pm trying to ship a feature. You obsess over the getting-started experience: how many lines of code does it take? Is the error message helpful? Does the docs example actually work? - Self-directed and motivated. You know how to develop conviction about what to build and how to ship it. You don’t wait for detailed specs — you investigate the framework, talk to users, and propose the right approach. - Excited about open source and developer community. You genuinely enjoy talking to developers about their integration challenges, writing clear documentation, and contributing to open source projects. - Thrives in a small, accountable team. Your output is visible and matters. You’re comfortable owning outcomes, not just tasks. CS or quantitative degree preferred, but not required. We care far more about what you’ve built and your hunger to learn. BONUS POINTS - Experience with OpenTelemetry internals or observability instrumentation - Contributions to popular open source projects, SDKs, or developer tools - Experience building developer tooling, CLIs, or client libraries - Former founder or early startup experience - Active presence in AI/ML developer communities (blog posts, talks, open source)   No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   PROJECTS YOU COULD OWN - Build and ship a Langfuse integration for an emerging agent framework (e.g., OpenClaw, new OTEL-based instrumentation) - Design the integration pattern for a new category of AI tools (e.g., voice agents via LiveKit/Pipecat) - Create comprehensive quickstart cookbooks that get developers from zero to traced in under 5 minutes - Work with the OpenTelemetry community to improve GenAI semantic conventions - Maintain and upgrade our most popular integrations (OpenAI, LangChain, Vercel AI SDK) as those frameworks ship breaking changes   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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 OKX is building out its equities and tokenized securities business. This is a post-trade and brokerage systems product role — you will own the layer that sits between our users and the securities markets: order management, execution, settlement, asset servicing and reconciliation. We have strong crypto product and engineering talent. What this role brings is depth in brokerage architecture and securities market structure: how these systems are built, why they are built that way, and what breaks at scale. You will be the internal authority on that, and your judgment will shape decisions that are expensive to reverse. What You’ll Be Doing Own the brokerage core — order management, execution and routing, instrument lifecycle and trading status, settlement and reconciliation. Shape account, custody and clearing architecture , along with the operating model required to run it. Own corporate actions and asset servicing end to end , in both conventional and on-chain form. Define how securities risk and margin frameworks coexist with those of a 24/7 digital asset market. Bring market structure, execution quality and regulatory requirements into product decisions early , before they become blockers. Set the standard for rigour — write PRDs precise enough to build from, and lead alignment across engineering, risk, legal, compliance and treasury. What We Look For In You Domain Depth 5+ years in post-trade or brokerage systems product management. We strongly prefer candidates from internet and licensed brokerages — Futu, Tiger, Interactive Brokers, Robinhood, Webull, Longbridge — as well as clearing firms and brokerage infrastructure providers. Architectural perspective. You have a clear view of where responsibility belongs across the order, execution, clearing, settlement, asset servicing and ledger layers, and of what goes wrong downstream when a boundary is drawn in the wrong place. Depth across the order and execution path. Order types and parameters, state machine design, idempotency across an external execution boundary, cancel/replace and partial-fill semantics, timeout and exception recovery. This is the core craft of the role. End-to-end ownership of at least one area beyond the order path — clearing and settlement, corporate actions and asset servicing, margin and risk, securities lending, or position and cash reconciliation. Commercial and historical perspective. You understand how a brokerage actually earns, how each revenue line constrains the systems beneath it, and why the industry made the structural choices it did. Ways of Working Strong technical intuition. You are comfortable discussing system architecture and data flows with engineers. You do not need to be a developer, but you think with the rigour of one. You design for the exceptions — the halted symbol, the timed-out counterparty, the partial fill, the corporate action mid-flight — not just the order that goes through. You run programs, not just write specs. You produce rigorous PRDs independently, drive alignment across engineering, risk, legal, compliance and treasury, and own the full lifecycle from requirements through post-launch review. You write precisely , and can make complex mechanics legible to technical and non-technical audiences alike. High agency. You are comfortable taking an open question all the way to a shipped, reconciled system, and making calls with incomplete information. Proficiency in Mandarin is required to communicate effectively with internal engineering and product stakeholders in the China-based R&D center. Nice-To-Haves Product experience with margin financing or securities lending. Exposure to tokenized securities, digital asset custody, or on-chain settlement. Experience integrating with broker-dealer or clearing APIs, as either the integrator or the provider. Hands-on experience with multi-jurisdiction regulatory frameworks — SEC/FINRA, MiFID II, or equivalent. A track record of launching a brokerage product in a new market from zero. Fluency in English to support communication with global product and business stakeholders. Genuine curiosity about what happens when securities markets meet 24/7 markets. 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 OKX is building out its equities and tokenized securities business. This is a post-trade and brokerage systems product role — you will own the layer that sits between our users and the securities markets: order management, execution, settlement, asset servicing and reconciliation. We have strong crypto product and engineering talent. What this role brings is depth in brokerage architecture and securities market structure: how these systems are built, why they are built that way, and what breaks at scale. You will be the internal authority on that, and your judgment will shape decisions that are expensive to reverse. What You’ll Be Doing Own the brokerage core — order management, execution and routing, instrument lifecycle and trading status, settlement and reconciliation. Shape account, custody and clearing architecture , along with the operating model required to run it. Own corporate actions and asset servicing end to end , in both conventional and on-chain form. Define how securities risk and margin frameworks coexist with those of a 24/7 digital asset market. Bring market structure, execution quality and regulatory requirements into product decisions early , before they become blockers. Set the standard for rigour — write PRDs precise enough to build from, and lead alignment across engineering, risk, legal, compliance and treasury. What We Look For In You Domain Depth 5+ years in post-trade or brokerage systems product management. We strongly prefer candidates from internet and licensed brokerages — Futu, Tiger, Interactive Brokers, Robinhood, Webull, Longbridge — as well as clearing firms and brokerage infrastructure providers. Architectural perspective. You have a clear view of where responsibility belongs across the order, execution, clearing, settlement, asset servicing and ledger layers, and of what goes wrong downstream when a boundary is drawn in the wrong place. Depth across the order and execution path. Order types and parameters, state machine design, idempotency across an external execution boundary, cancel/replace and partial-fill semantics, timeout and exception recovery. This is the core craft of the role. End-to-end ownership of at least one area beyond the order path — clearing and settlement, corporate actions and asset servicing, margin and risk, securities lending, or position and cash reconciliation. Commercial and historical perspective. You understand how a brokerage actually earns, how each revenue line constrains the systems beneath it, and why the industry made the structural choices it did. Ways of Working Strong technical intuition. You are comfortable discussing system architecture and data flows with engineers. You do not need to be a developer, but you think with the rigour of one. You design for the exceptions — the halted symbol, the timed-out counterparty, the partial fill, the corporate action mid-flight — not just the order that goes through. You run programs, not just write specs. You produce rigorous PRDs independently, drive alignment across engineering, risk, legal, compliance and treasury, and own the full lifecycle from requirements through post-launch review. You write precisely , and can make complex mechanics legible to technical and non-technical audiences alike. High agency. You are comfortable taking an open question all the way to a shipped, reconciled system, and making calls with incomplete information. Proficiency in Mandarin is required to communicate effectively with internal engineering and product stakeholders in the China-based R&D center. Nice-To-Haves Product experience with margin financing or securities lending. Exposure to tokenized securities, digital asset custody, or on-chain settlement. Experience integrating with broker-dealer or clearing APIs, as either the integrator or the provider. Hands-on experience with multi-jurisdiction regulatory frameworks — SEC/FINRA, MiFID II, or equivalent. A track record of launching a brokerage product in a new market from zero. Fluency in English to support communication with global product and business stakeholders. Genuine curiosity about what happens when securities markets meet 24/7 markets. 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: Brisbane, Australia VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 100 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Years on from its humble beginnings in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. About the role VALD is building the world’s largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners to objectively assess patients’ progress and make more accurate, data-informed treatment decisions. We are looking for someone who has hybrid experience in data engineering and data analysis to help shape the future of the VALD Data Lakehouse. In this role, you will Serve as a data product owner for business-facing dashboards and insights tools - ensuring they align with stakeholder needs and drive measurable impact. Partner with Commercial, Product, and Customer Success teams to gather requirements, define key metrics and build reliable, trusted datasets that power self-serve analytics and business decisions. Design, develop, and own dashboards that track client engagement, retention, renewals - delivering clear, actionable insights to the Commercial and Customer Success teams. Build and maintain scalable analytics pipelines in Azure Databricks to support client-facing and internal reporting across the commercial function. Apply best practices in analytics engineering and dimensional modelling to create scalable, well-documented data models for use across reporting and forecasting tools. Work with the business to continuously improve data generation processes across key domains including product usage, client health, and commercial performance. What we are looking for Our ideal candidate has: Has a strong passion for improving business outcomes and delivering measurable value through data Brings proven experience as an Analytics Engineer, building trusted, scalable data models on platforms such as Azure Databricks and Azure SQL (or similar) Partners with, and effectively manages stakeholders to translate business questions into clear, actionable data solutions Is highly proficient in Spark SQL, PySpark, and T-SQL (or similar) for transforming and modelling data to support commercial analytics use cases Designs and delivers high-quality semantic models and dashboards (Databricks, Power BI or similar), with a strong focus on metric definition and usability Has deep experience with dimensional (Kimball) data modelling to support analytics at scale Champions data quality, governance, and Master Data Management (MDM) to ensure consistency, accuracy, and trust across data assets Why VALD? You will be working in a fast-paced, dynamic company that has a culture around the belief that anything is possible with hard work, creativity, dedication, and good timing. We have a range of benefits we offer to our team, such as: The opportunity to work in a company that is redefining allied healthcare. Working with a range of high-performing individuals and teams across a range of disciplines. Working with contemporary tooling on industry first applications. Casual work attire. Chefs that prepare you delicious fresh breakfast and lunch. An on-site barista to make your coffee just as you like it. A team gym, masseuse, and access to physiotherapy and exercise physiology services. Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Apply now We can't wait to meet you and discuss what a career with VALD could look like for you! Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results. Salary: Up to $175,000 / year

Location: Metn, Lebanon Head of AI Transformation The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers' lives easier while continuously improving internal systems to deliver faster and at the best cost. If you're excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we'd love to hear from you. About the Role Are you ready to make AI leverage a company's defining competitive advantage? As a Head of AI Transformation at Toters, you'll transform how we build software, unlock every function to build with AI, and compound our proprietary data and intelligence into product and business outcomes. The role sits above day-to-day line management and is accountable for outcomes, cross-org alignment, and unblocking. You'll own direction, standards, and outcomes, while delivery is co-owned with our platform and area teams. In this role, you will: Your mandate spans four workstreams. AI-native software development Own the strategy and operating model for AI across planning, development, review, testing, and release. Take our internal AI development harness to maturity across every engineering team, and define reusable AI workflows for our main types of engineering work. Own AI governance: guardrails, code review policy (including reducing human review load where AI review quality supports it), validation standards for AI-generated code, and cost and usage visibility per team. Deliver velocity with safety, measured by cycle time, review load, defect trends, and cost per unit of output. Everyone is an AI builder. Grow our internal AI building platform beyond engineering, activating domain experts across Product, Operations, Finance, and Commercial as builders. Shape a Forward-Deployed Engineering function that finds high-value opportunities across the business and lands them as working AI solutions. Build a compounding intelligence layer of shared context, prompts, patterns, and learnings that makes every new build faster than the last. Drive adoption, measured by live use cases, functions actively building, and time from idea to working tool. AI-native internal tooling Make the AI-native path the default for building internal and admin tools, with the traditional engineering queue as the exception. Partner with our admin platform and Design System teams so AI-built tools compose with shared foundations rather than fragmenting them. Free up engineering capacity, measured by engineer-hours per month, moved from low-complexity internal requests to strategic work. AI-powered customer features Enable product teams to ship customer-facing AI features, partnering with our Applied AI platform on personalization, semantic search and recommendations, fraud intelligence, and intelligent spend. Set the bar for production AI: evals, guardrails, degradation paths, and measurable business attribution for every AI feature. Deliver shipped product impact: AI features live across multiple product domains with attributable gains in conversion, retention, or efficiency. Across all workstreams Drive alignment with engineering, product, and business leaders, and clear the blockers that slow adoption. Act as Toters' technical reference on AI, guiding architecture decisions and evaluating tools, models, and vendors. Mentor engineers and builders across the company to raise AI fluency and engineering excellence. Report progress, trade-offs, and results clearly to leadership. Key Qualifications Bachelor's degree in Computer Science or a related field, or equivalent practical experience. 10+ years of software engineering experience, including several years setting technical direction across multiple teams at Staff or Principal level. Hands-on experience building and shipping production LLM systems: retrieval, agents and tool use, evals, and guardrails. Deep, daily experience with AI-assisted development tools, and a track record of driving their adoption across engineering teams. Strong system design and backend foundations, with the depth to review architecture across services, data, and infrastructure. Experience defining engineering standards, governance, or operating models and getting them adopted at organization level. A data-driven approach to measuring engineering productivity and business impact (e.g., DORA metrics, A/B testing). Proven ability to influence without authority across engineering, product, and business functions. Strong English communication skills and the ability to explain AI trade-offs to technical and non-technical audiences. Nice to Have Production ML experience in personalization, search and recommendations, or fraud detection. Experience enabling non-engineers to build with AI or low-code tools. Experience managing LLM cost, usage, and vendor strategy at scale. Experience as a Tech Lead Manager or leading a small engineering team. Familiarity with PHP (Laravel), PostgreSQL, Redis, and AWS. Previous experience with food delivery, e-commerce, or on-demand platforms. Public work on AI engineering: talks, writing, or open-source contributions. Why Toters? Define how a high-growth company builds with AI, with company-wide scope and direct backing from leadership. Flexible work environment with hybrid-friendly roles. Opportunity to lead impactful initiatives and shape technical strategy. Collaborate with talented engineers while growing your career. Strong culture of mentorship, collaboration, and continuous learning. Direct impact on products used by thousands of customers every day. Competitive compensation package. Exclusive discounts on Toters orders. First-class medical insurance.

Location: Athens, Greece We are looking for a Senior Backend Engineer (Python) to join a technically demanding project involving data-intensive processing, system integration, and semantic technologies. You will play a key role in taking ownership of an existing codebase, stabilising it, and evolving it in line with project requirements. This role is ideal for an experienced engineer who is comfortable working with complex systems and understands data-driven architectures . What You'll Do: Analyse, understand, and take ownership of an existing Python-based backend; Refactor and enhance backend components with a focus on maintainability and performance; Implement and maintain data processing pipelines and integration logic; Collaborate closely with data/semantic engineers on RDF/SPARQL-driven workflows; Contribute to architecture reconstruction and technical documentation; Support deployment, configuration, and troubleshooting activities; Ensure code quality through reviews, testing, and best practices. Requirements 3+ years of professional experience in backend development; Strong proficiency in Python; Experience with: Apache Airflow and AWS; Data-intensive or integration-heavy systems; APIs, batch processing, and backend services; Configuration-driven systems (XML / JSON / YAML); Solid understanding of: Software architecture and design patterns; Debugging and working with legacy codebases; Experience working in complex, multi-stakeholder projects (EU or public-sector projects is a plus). Nice-to-Have: Familiarity with Semantic Web technologies (RDF, SPARQL, OWL); Experience with data modelling or knowledge-based systems; Exposure to DevOps practices (CI/CD, containerisation); Experience contributing to or maintaining technical documentation (e.g. AsciiDoc, Antora). Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( SBEP/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Yerevan, Armenia Problem Space Logistics operations today are still largely: manual reactive fragmented across tools running on incomplete or late data full of conflicting constraints under real-time decision pressure driven by evolving business rules a mix of legacy and new systems Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game. We’re building a system that: ingests real-time operational data, structured and unstructured supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t adapts to constantly changing constraints What You’ll Work On AI in production. Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding. The seams. Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop. Trust. Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets. Ownership. Owning features end to end, from problem framing with product to running them in production. Design Principles keep things simple before scalable prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must optimize for change, not perfection (models, prompts and providers will change) measure AI behaviour, don’t trust vibes avoid “framework-driven architecture” accept that some parts will be ugly, temporarily Tech Stack .NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools How We Build AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day. You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it. What We Expect Strong, senior-level .NET engineering Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems, including when not to use AI Preferring ownership over comfort Strong Plus Having shipped LLM/AI features to production and kept them running Experience with evals, prompt/version management or AI observability Python for prototyping and data work Logistics or other real-time operations domain experience What You Won’t Find Here over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development AI demos that never reach production wrapping a chatbot around a problem and calling it solved

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior/Staff Product Engineer to join our Embodied AI team. Working alongside the group's GM, Product leader, and robot learning engineer, you'll own how the product reaches customers, build the integrations that make it native to their simulators and deployment stacks, and influence the roadmap. You've turned capabilities into products. You've shipped developer-facing products and watched adoption turn on details nobody planned for. You know that a capability isn't a product until someone outside the building has used it without help, and you're passionate about the work that sits between the two. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial engineer who loves to build and is energized by making the people around them, researchers and customers alike, more effective. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Build the Product Surface - Own how autonomy teams experience our work: the APIs, UIs, packages, and documentation. - Make Our World Native to the Customer's - Turn scans and reconstructions into reliable, interoperable assets that work in customers' simulation tools and workflows, including packaging, metadata, semantic labels, object structure, and selectable variants. - Turn Prototypes Into Capability - Partner with reconstruction, mapping, localization, and research teams to transform prototypes and pipeline outputs into production-grade services and user experiences. - Deliver at Scale - Design and operate backend systems for accounts, organizations, sites, scans, assets, processing jobs, permissions, asynchronous workflows, storage, and data access. - Make It Work - Work directly with customers and internal users to integrate our technology, diagnose failures, improve reliability, and close the gap between intended and actual product behavior. - Influence the Roadmap - Work alongside the group's GM, Product leader, and robot learning engineer to shape what we build and when. What You'll Bring - 6+ years of software engineering experience; Bachelor's degree in Computer Science or a related field, or equivalent practical experience. - Significant experience building and operating production web applications and backend services, with strong fundamentals in API design, data modeling, testing, observability, and reliability. - Shipped developer-facing products — including the documentation and reference code external engineers actually used — and worked with 3D asset formats or comparable binary formats to production depth: you can say what the conventions were, where they broke, and what it cost you. - Proficient in Python and TypeScript, comfortable working across frontend and backend, and able to take a feature from product requirements through to running it in production. - Experience designing asynchronous workflows, long-running jobs, external integrations, and data-intensive systems. Nice to Have - Experience working with robotics simulators or toolchains such as Isaac Sim, Isaac Lab, or MuJoCo, or OpenUSD. - Built products for geospatial, 3D, computer vision, graphics, robotics, or spatial computing. - Worked on visualization or asset-management experiences with React, Next.js, or Three.js. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Confident and credible with customers. You can read an autonomy engineer's training config, find why our asset didn't load, and explain the fix in their terms. - Fluent in other people's ecosystems. You'll spend much of your time learning new tools and stacks. You're quick to learn the customer's language, and you can point to something you shipped in a world that was foreign to you a quarter earlier. Compensation & Benefits The base salary range for this role is $207,000 - $265,000, and your offer within it will reflect your experience and the scope you take on. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Poland; Romania; Slovenia; Slovakia; Greece; Portugal Intetics Inc. , a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and "all-things-digital" solutions, is looking for an AI Developer (LLM / RAG / Agentic AI) to join its innovative team. Project Responsibilities Design, build, and maintain LLM-based agents in production environments, both customer-facing and internal. Build MCP servers on top of existing databases and production systems, and orchestrate multiple internal and external MCP servers under a unified agent framework. Design and implement memory, context management, and RAG architectures for production use. Establish evaluation frameworks, handle edge cases, and continuously improve agent performance after release. Work within architectures that combine databases, APIs, interfaces, agents, and orchestration applications. Develop AI solutions using Amazon Bedrock and/or Microsoft Foundry. Collaborate with cross-functional teams to deliver scalable and reliable AI-powered products. Candidate's Portrait We are looking for a hands-on AI Engineer (Middle+ to Senior level) who has successfully delivered AI agents into production and can clearly explain implementation challenges, failure cases, and optimization approaches. The ideal candidate is passionate about AI, actively explores new tools and models, and has a proven track record building intelligent systems beyond experimentation. 1.5-2+ years of hands-on experience with LLMs and AI agents in production environments. Strong background in Machine Learning, Python development, or Data Science. Self-driven, innovative, and continuously learning emerging AI technologies. Must-Haves 6+ years of overall experience in IT as a Software Engineer, ML Engineer, or AI Engineer. Hands-on production experience with Amazon Bedrock and/or Microsoft Foundry (Azure AI Foundry, Azure OpenAI). Proven experience building and deploying LLM-based agents to production, including customer-facing conversational AI and internal workflow automation agents. Strong experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, or OpenAI Agents SDK . Deep MCP expertise, including building MCP servers on top of existing databases and systems, integrating external MCP servers, and orchestrating multiple MCP services under a single agent. Strong experience with production-grade RAG, memory, and context engineering, including: Embeddings Chunking strategies Hybrid search Reranking Vector databases Short-term and long-term agent memory Practical experience implementing agentic patterns such as: ReAct Planner-Executor Reflection Router Supervisor Multi-Agent Systems Human-in-the-Loop Experience with LLM evaluation, guardrails, monitoring, and iterative optimization based on production usage and failure analysis. Strong understanding of system architecture involving databases, APIs, agents, and orchestration applications. Hands-on experience with Docker and CI/CD pipelines. Nice-to-Have Experience in fintech, trading, investing, brokerage, or cryptocurrency-related products. Background in regulated industries with strong requirements around compliance, data protection, and AI output auditability. Broader AWS or Azure cloud expertise beyond AI services. Experience with LLM evaluation and observability platforms such as LangSmith, Langfuse, Ragas , or custom evaluation pipelines. Advanced practical expertise with modern agentic AI development tools and rapid prototyping approaches.

Задачи: — Участие в операционной деятельности команды: дейли-митинги, спринт-планирования, ретроспективы, проведение демо для заказчика; — Контроль соблюдения сроков и качества результатов по всем активным проектам; — Проектирование и внедрение LLM решений: NER/классификация/обогащение, semantic search и RAG пайплайны, подготовка датасетов, fine tuning, улучшение метрик; — Ведение проектной документации в соответствии с принятыми стандартами и регламентами компании. Требования: — Опыт DS/ML (3+ лет) и общий опыт в IT около 6 лет, с фокусом на end-to-end внедрения AI/ML решений; — Опыт оценки трудозатрат для комплексных AI-проектов; — Инструменты управления: Jira, Confluence или аналоги для трекинга задач, ведения документации и управления бэклогом; — Понимание полного жизненного цикла ML-проекта: сбор данных, разметка, обучение, валидация, деплой, мониторинг; — Понимание принципов работы LLM, GenAI, RAG и агентных систем — на уровне, достаточном для оценки рисков; — Понимание принципов MLOps: CI/CD для моделей, версионирование данных, автоматизация пайплайнов; — Высокий уровень владения языком Python и опыт разработки production решений и интеграций с корпоративными системами; — Практика работы с корпоративными базами данных (PostgreSQL, ClickHouse, Vertica или аналогичными) и построением витрин/ETL (Airflow, Kafka и т.п.). Условия: — работа в аккредитованной IT-компании (льготная ипотека и проч.); — оформление по ТК РФ и его полное соблюдение (оплачиваемые отпуска, больничные); — ДМС со стоматологией с первых недель работы (а не после испытательного срока).

Location: Russia; Moscow; Perm Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about. The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs: minting and gifting; trading on our Bazaar marketplace; Merkle-based reward airdrops; gas sponsorship; an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. Responsibilities The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale The smart account and permissioning model, evolved to meet both product and compliance needs The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to MPC -based custody Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams Engineering standards in the Web3 domain Production escalations in the wallet and account abstraction domain WHAT YOU WILL DO Design and evolve the ERC -4337 user operation lifecycle (prepare → sign → submit → confirm), EIP -7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable Define EIP -1193 / EIP -6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents Write RFCs and design docs; review critical code, contracts and designs Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans Create leverage for the engineering org through documentation, tooling and mentorship Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively REQUIRED Experience 8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets Designing or operating a production smart wallet or account abstraction system serving real users and real value Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place Account abstraction and smart wallets ERC -4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules ( ERC -7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts ( ERC -6492) EIP -7702 and the post-Pectra landscape: EOA delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions) Building on or extending production smart account implementations; modular account standards ( ERC -7579 / ERC -6900) Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation; ERC -7710 / ERC -7715 Signature schemes and wallet interfaces: EIP -712 typed data, ERC -1271 contract signatures, WebAuthn / passkey (P-256) signers; EIP -1193, EIP -6963, EIP -5792 batched calls, ERC -7677 paymaster interfaces Smart contracts and EVM Solidity and the EVM : reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, RPC and indexer semantics Backend Go: idiomatic code, concurrency patterns, performance profiling TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result Data and infrastructure PostgreSQL: schema design, query optimization, migrations at scale Kubernetes: deploying, operating and debugging services Asynchronous messaging and event-driven design (Kafka or NATS ): consumer groups, at-least-once delivery Git, CI/CD Security Key management in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and DoS Leadership Leading multi-quarter technical initiatives across teams Influencing architecture and standards beyond your immediate team RFCs and design docs that stand on their own and are actionable without you in the room AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English English at C1 level Nice to Have Hands-on experience with ZK Stack and zk -rollups Hands-on experience with embedded and ecosystem wallet and AA infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy MPC / threshold custody, social recovery or guardian-based recovery in a consumer product NFT and token infrastructure at scale: ERC -721 / ERC -1155 / ERC -20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security or identity projects, including authoring or reviewing ERC / EIP standards Compliance requirements for crypto consumer products: KYC / AML , geofencing, MiCA , SOC 2, ISO 27001, GDPR data minimization, audit logging Identity and auth integration for wallet derivation: OAuth 2.0 / OIDC , JWT verification, token scoping Platform or infrastructure engineering: building systems other engineers build on Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI Gaming industry experience: platforms for game developers, publishers or players How We Work Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We work across time zones, so a design has to stand on its own. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible)

Semantics Innovations — технологическая IT-компания, которая специализируется на разработке, тестировании и внедрении программного обеспечения для цифровой экономики и финансового сектора.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Manager to join our Product team. You will own Vercel's networking and CDN product areas. Networking includes the service mesh, Perimeter, VPC connectivity, and Microfrontends. CDN includes the caching layer, traffic security through WAF and DDoS mitigation, domains, and general ingress. You will set direction for how applications and services connect securely, how traffic enters Vercel, and how content is delivered quickly and reliably around the world. You will report to the Product Lead and will be located in San Francisco, CA (hybrid). If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the product vision, strategy, and multi-year roadmap across Vercel's Networking and CDN product areas Evolve existing Networking and CDN products (service mesh, Perimeters, Ingress, caching layer, Traffic security, WAF, DDoS mitigation, Domains) by defining new features and designing new product surfaces. Define pricing for new products or features. Partner with Engineering on the performance and reliability. Work directly with Enterprise customers and the field on connectivity, networking, performance, and security requirements that block adoption or scale What you need You've built and shipped networking, CDN infrastructure, service mesh, or private connectivity products You have the technical depth to reason about service-to-service networking, VPC connectivity, HTTP caching semantics, cache invalidation, TLS, DNS, and global request routing You have experience with Layer 7 security products such as WAF, DDoS mitigation, or bot management You understand the networking and routing challenges of composing independently deployed services into applications You have owned multiple connected products and set direction that other product teams built against You have experience working directly with Enterprise customers on networking, connectivity, and security requirements You have experience using usage, reliability, and performance data to drive roadmap decisions Bonus if you Have worked at a cloud provider or on a serverless, container, or edge compute platform Have an engineering background or have operated production network infrastructure Have worked on products where incident response and postmortems are a regular part of the job Have experience with compliance and security requirements in enterprise procurement Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

ASOS.com — британский онлайн‑ритейлер модной одежды, обуви, аксессуаров и косметики. Размер команды — 1k-5k, инвестиции — £587.5M. Технологии и инструменты: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen/CrewAI, Python или C#/.NET. Фаундеры компании: Nick Robertson, Andrew Regan, Quentin Griffiths, Deborah Thorpe. В компании работают русскоговорящие сотрудники.