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Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London. WHAT YOU’LL DO - Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. - Build and maintain robust CI/CD pipelines for both software and ML workflows. - Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. - Automate deployment, orchestration, and environment management using modern DevOps tooling. - Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. - Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. - Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. - Document infrastructure, workflows, and operational procedures clearly and thoroughly. WHAT WE'RE LOOKING FOR - Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. - Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. - Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). - Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). - Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. - Ability to design scalable, secure, and observable systems in fast-moving environments. - Strong debugging and problem-solving skills across distributed systems. - Excellent collaboration and communication skills, with experience working in cross-functional teams. - Understanding of security and compliance best practices for both software and ML systems. WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Berlin, Germany Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Sales & Partnership Manager to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. As a Sales & Partnership Manager, you play a decisive role in the next growth phase in a new, strategic and at the same time hands-on position. The role is ideal for a hungry, solution-oriented personality who takes responsibility, actively generates revenue and independently drives projects forward. Responsibilities: You expand the customer base and the project pipeline through the proactive identification and acquisition of strategically relevant opportunities. You are responsible for the entire sales process from inbound qualification through sales calls and proposal creation to negotiation, closing and handover to the project teams. You ensure daily sales operations and optimize existing structures as well as scalable frameworks. You lead the partnership strategy and implement it together with important partners such as Braze, MoEngage, Adjust or Appsflyer. You analyze existing workflows and develop more efficient processes for prospecting, qualification, follow-ups, reporting, deal flow and documentation. You represent the company at app trade fairs and relevant industry events. You take responsibility for the CRM (HubSpot), ensure a high data quality and develop automations as well as a reliable funnel. You work closely with the marketing team to synchronize sales and marketing strategies and strengthen lead generation. Proven experience in sales and in managing partnerships. Experience in mobile marketing, in mobile app technology or mobile martech, or you bring a strong background in the sales of B2B marketing services. Deep understanding of the mobile ecosystem and a strong interest in apps. Strong in acquiring customers, closing deals and independently managing the entire sales lifecycle. You bring an analytical and commercial way of thinking and have experience in driving revenue growth together with other teams. Experience with HubSpot or are able to quickly familiarize yourself and efficiently build processes as well as automations. You work independently, responsibly and with a clear hands-on mindset. You operate confidently at the intersection between marketing, consulting and leadership. You are a proactive, communicative personality who likes to contribute ideas and work in a collaborative environment. You speak German and English fluently and can communicate confidently with international teams and clients.

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. About the Opportunity You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture. What You’ll Be Doing Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Drive the implementation of AI Native capabilities in engineering workflows , including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. Build the knowledge augmentation layer for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities. Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance. Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 8+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities. Proficient in Java / Python , with solid coding skills, architectural thinking, and experience building complex systems. Strong understanding of LLM and AI Agent architectures , including task decomposition, tool use, context management, memory, execution loops, and exception handling. Hands-on experience with LangChain and LangGraph , and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code , Codex, Cursor , and Copilot . Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases. Good understanding of DevOps , CI/CD , Kubernetes , and cloud-native technologies , with strong cross-functional collaboration and execution skills. Nice to Haves Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs. Experience building enterprise engineering platforms, DevOps platforms, or AI platforms . Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes . 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Discl aimer: 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: Philippines; Argentina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a GoHighLevel Automation Engineer to design, build, and optimize marketing and sales automation systems. This is a highly technical, client-facing role ideal for someone experienced in CRM automation, funnel building, and workflow optimization within GoHighLevel. You’ll play a key role in improving lead conversion, automating outreach, and ensuring seamless customer journeys through data-driven automation strategies. Key Responsibilities Design and implement advanced workflows, triggers, and automation sequences in GoHighLevel Build and optimize high-converting sales funnels, landing pages, and pipelines Integrate GoHighLevel with third-party tools (Zapier, webhooks, APIs, etc.) Set up and manage CRM pipelines, lead scoring, and segmentation Automate email, SMS, and follow-up campaigns for inbound and outbound leads Monitor automation performance and continuously optimize conversion rates Troubleshoot system issues and ensure smooth automation operations Collaborate with marketing and sales teams to align automation strategies Document processes and create scalable automation frameworks Requirements 2+ years of hands-on experience with GoHighLevel (or similar CRM automation platforms) Strong understanding of marketing automation, sales funnels, and lead generation Experience with integrations (Zapier, APIs, webhooks) Familiarity with email/SMS marketing campaigns and automation logic Experience working with CRM systems and pipeline management Strong analytical and problem-solving skills Excellent communication skills for client-facing interactions Ability to work independently in a remote, fast-paced environment Experience in digital marketing agencies or SaaS environments Basic knowledge of HTML/CSS or funnel customization Experience with Facebook Ads, Google Ads, or paid media workflows Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Frankfurt am Main, Hesse Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are looking for a Compliance & AML Officer who will be accountable for the design, implementation, and ongoing oversight of both the regulatory compliance and AML/CTF frameworks for the newly established German Branch. The role carries dual responsibility: ensuring full adherence to MiFID II/MiFIR and BaFIN conduct and organisational requirements as applied in Germany, and maintaining a robust AML/CTF programme aligned with German AML regulations, EU requirements, and group standards. Key Responsibilities: Compliance Framework (MiFID II / MiFIR & BaFIN’s requirements) Act as the designated Compliance Officer (CO) under German regulatory requirements and MiFID II organisational obligations. Design and maintain the compliance monitoring programme. Monitor and ensure adherence to BaFIN and ESMA regulations. Review financial promotions, marketing materials, and client communications for compliance with applicable rules. Maintain the compliance risk register and prepare periodic compliance monitoring reports for senior management. AML/CTF Framework Act as the appointed Anti-Money Laundering Officer (AMLCO) under German regulatory requirements Develop, implement, and maintain AML/CTF policies, procedures, and controls. Ensure effective customer due diligence (CDD), enhanced due diligence (EDD), transaction monitoring, and suspicious activity reporting (SAR). Oversee AML risk assessments and ensure alignment with the firm’s risk appetite. Regulatory & Governance Serve as the primary point of contact with BaFin and FIU Germany on AML/CTF matters. Ensure compliance with German AML Act (GwG), EU AML Directives, and applicable EBA/ESMA guidelines. Lead regulatory reporting, audits, and inspections related to compliance and/or  financial crime. Provide regular reporting to senior management and the board on compliance AML risks and controls. Advisory & Oversight Advise senior management on Compliance and AML/CTF risks, regulatory developments, and control enhancements. Ensure effective escalation of Compliance and financial crime risks and incidents. Training & Culture Develop Compliance and deliver AML/CTF training programs across the Germany entity. Promote a strong compliance culture and awareness of Compliance and  financial crime risks. Coordination Collaborate with group Compliance, Risk, Legal, and Operations to ensure consistent application of regulatory compliance and AML standards. Align local AML practices with group frameworks while meeting German-specific requirements. Key Requirements: 5+ years of proven experience as  Regulatory Compliance Officer and/or AMLCO or senior AML function holder in Germany within a regulated financial services firm. Strong knowledge of MiFID II/MiFIR and BaFin applicable regulations. Deep knowledge of German AML law (GwG), BaFin expectations, and EU AML framework. Strong understanding of brokerage/trading or fintech business models. Experience dealing directly with regulators (including BaFin) and FIUs. Strong analytical, judgment, and stakeholder management skills. Fluency in German and English. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: Yerevan; Poland; Ukraine; Serbia; Valencia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Job Title: Director of Product Management Location: Remote Company: PlayStation Studios As the Director of Product Management, you will work as part of the central Live Services team, reporting to the Head of Product Management for Live Service games at PlayStation Studios. Your primary responsibility is to work as a subject matter expert, leading a small central team collaborating with European game studios and other partners (analytics, marketing, etc.) to help build, launch, and manage successful live service games, while helping studios to build out top-notch embedded capabilities. Responsibilities Work across multiple live and upcoming titles from PlayStation Studios, partnering closely with game studios and other partners to build capabilities and successfully launch and manage live service titles. Engage with game teams on everything from high-level product and commercial strategy to evaluating design specs and mockups, with a focus on product prioritization and roadmaps. Identify opportunities for product performance growth for various titles, influence key stakeholders, and drive initiatives to a successful outcome through strong relationships. Develop and share best practices to help game studios stand up and evolve their processes and capabilities. Define product strategy frameworks and standards for live service titles, tailoring approaches to the needs of individual games and studios. Define and evolve core KPIs in partnership with other publishing resources (analytics, research, marketing, etc), ensuring consistent measurement and actionable insights across titles. Establish and evolve live service operating rhythms (goal setting, performance reviews, experimentation, roadmap planning, decision trees) across titles. Partner with finance and forecasting teams to refine revenue models, ensuring assumptions align with product strategy and core KPIs. Manage, develop, and grow a small team of product management and live service design talent, leading and inspiring a highly skilled team. Connect development teams across PlayStation studios to the latest competitive research, analyze industry trends, and define best practices. Function as a conduit between multiple studios to foster knowledge sharing and deeper collaboration. Help define the processes and methodologies used centrally to level up our product management craft and improve the way we build and operate live service games. Qualifications & Skills Strong experience in product management and/or live service design focused on feature development and live operations. Proven track record working in complex, matrixed development/publishing organizations to deliver outsized results on successful live games. Seasoned people leader with an ability to manage, lead and inspire a highly skilled team. Demonstrated track record of success driving initiatives that positively impact core KPIs. Expert data fluency and track record of partnering with analytics, research, and insights groups. Experience with game economy and/or monetization modeling and experience with analytical tools (e.g. Looker, Tableau, etc.). Diverse development experience spanning different types of games, genres, and business models (F2P, paid, cosmetic economy, etc.). Expert ability to connect creative vision, analytics, and business goals – turning data into actionable product and design decisions. Deep understanding of industry trends and the competitive landscape, including player motivations and audience segments across genres. Ability to understand, conceptualize, and improve the design of game systems, features, and mechanics, providing recommendations to shape the direction of the product. Experience working across products at different development stages (incubation, live operations, etc.). Strong business and financial acumen, with experience driving revenue forecasting and KPI frameworks for live service products. Experience working with publishing partners (marketing, release management, store, etc.). Experience partnering with leadership/executives at a studio and publishing level. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: 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 role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - New York City WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation Annual OTE: $350,000 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.

Location: Raleigh, NC Workplace: Remote 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 Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$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.

Location: Charlotte, NC Workplace: Remote 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 Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$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.

Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. Without ever sacrificing craft or quality helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exempt - Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.  - United States  (all figures cited below in USD and pertain to workers in the United States) - Zone A: 232,000 - 290,000 - Zone B: 217,600 - 272,000 - Zone C: 204,800 - 256,000 - Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada) - 253,000 - 316,000 Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Director, Engineering  As a Senior Staff Machine Learning Scientist, you’ll:  - Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. - Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning. - Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences. - Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks. - Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems. - Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI. - Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team. - Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience You’ll thrive as a Senior Staff Machine Learning Scientist if you: - Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training. - Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred. - 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning. - Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models. - Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances. - Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code. - Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow. - Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization. - Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.   OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: 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. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: United Kingdom, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within the UK. Your new role As Senior Security Engineer, you will help Olo reduce identified risks, respond to adversarial attacks while maintaining the up-time of our systems, and implement the right strategic risk mitigation measures to safeguard the data of our clients and their customers while supporting innovation. You will also provide white glove service and support to internal and external stakeholders by addressing security questions and support issues as needed, and by mentoring other engineers in how to best provide support.  Additionally, you will help in the identification and prioritisation of future project initiatives based on risk, and execute on cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets through peering and informal training. How you’ll make an impact Lead improvements in detection and response capabilities, continuously optimising monitoring, alerting, and incident response processes. Mentor junior and mid-level engineers, setting a high standard in security practices and offering guidance for professional development. Participate actively in an on-call rotation, responding to escalated security incidents and coordinating effective resolutions. Demonstrate excellence in white-glove service delivery, ensuring security incidents are managed thoroughly and with professionalism. Define and collaborate on implementing leading security practices, ensuring strategies align with organisational security goals and industry standards. Take ownership of security project execution, prioritising tasks and aligning initiatives with team and company objectives. Use and optimise advanced security tools, including SIEMs and vulnerability scanners, to enhance detection, logging, and analysis capabilities. Conduct regular and detailed vulnerability assessments, identifying gaps in security controls and implementing mitigation strategies. Support compliance efforts, ensuring documentation, audits, and regulatory standards are met to maintain certifications and adherence to best practices. Collaborate with cross-functional teams, including development and IT, to integrate security best practices within architectural frameworks. Lead security awareness initiatives, educating technical teams on advanced security topics and secure coding practices. Stay informed on emerging security threats and technologies, continuously evaluating and integrating relevant tools or methodologies. Provide guidance for risk management processes, helping to establish and maintain effective risk identification and mitigation protocols. Develop and document security processes and procedures, ensuring consistency and readiness for both routine and high-stress security incidents. Support leadership with reporting by providing insights and data on incidents, vulnerabilities, project progress, and metrics to inform security decisions. Lead automation and process optimisation efforts by developing scripts and tools to automate repetitive security tasks as well as to enhance detection and response capabilities through the use of automation and integration of security tools. What will set you up for success Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent security experience). 5+ years of experience in security engineering and operations, including extensive experience in blue team operations, security architecture, DevOps, and general operations. Deep knowledge of information technology, evolving threats, attack patterns, incident response, and cybersecurity standards. Proven ability to develop and lead incident response, including remediation, mitigation, and regular status updates and reporting. Skilled in security event evaluation, discerning legitimate security incidents from false positives, incident investigation, countermeasures, and impact monitoring. Strong understanding of operating system, networking, and application hardening for Windows, macOS, and Linux, including virtualisation security. Experience deploying, maintaining, and administering security technologies like IDS, DLP, FIM, firewalls, SIEM, MFA, vulnerability assessment tools, web proxies, and WAFs. Experience with cloud providers and Infrastructure as Code (IaC) tools, such as Terraform, Ansible, or CloudFormation. Proficiency in AWS security best practices. Skills in automation, development, or scripting for enhanced security operations. Advanced knowledge of Application Security, modern web protocols, and Web Application Firewalls. Proficiency in email security protocols like SPF, DKIM, and DMARC. About Olo   Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com   Applicant Privacy Notice (United Kingdom)

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 You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture. What You’ll Be Doing Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Drive the implementation of AI Native capabilities in engineering workflows , including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. Build the knowledge augmentation layer for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities. Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance. Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities. Proficient in Java / Python , with solid coding skills, architectural thinking, and experience building complex systems. Strong understanding of LLM and AI Agent architectures , including task decomposition, tool use, context management, memory, execution loops, and exception handling. Hands-on experience with LangChain and LangGraph , and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code , Codex, Cursor , and Copilot . Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases. Good understanding of DevOps , CI/CD , Kubernetes , and cloud-native technologies , with strong cross-functional collaboration and execution skills. Nice to Haves Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs. Experience building enterprise engineering platforms, DevOps platforms, or AI platforms . Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes . 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: Argentina; Colombia; Mexico; Honduras; Brazil We are hiring a high-caliber Executive Assistant to work directly with a Principal in a fast-growing real estate investment and development company . This is not a traditional administrative role . It is designed as a stepping stone into an Operations Associate / Operations Manager path , with direct exposure to acquisitions, capital raising, construction, leasing, and asset management. You will play a key role in building structure, improving execution, and helping scale the business. Key Responsibilities Principal Productivity & Execution Run weekly time reviews and generate actionable summaries Track performance against an “ideal day” structure and identify gaps Review dashboards (Asana, time tracking) to surface priorities Send daily priority updates (tasks, decisions, follow-ups) Apply clear frameworks for prioritization, delegation, and scheduling Inbox, Calendar & Follow-Ups Manage calendar, meetings, and confirmations Maintain daily inbox organization (prioritize, delegate, clean) Track follow-ups and ensure nothing falls through the cracks Maintain and act on “waiting on others” lists Operations & Business Support Keep Google Drive and internal documentation structured and updated Maintain CRM hygiene (HubSpot) and investor follow-ups Support reporting, KPI tracking, and dashboard updates Assist with vendor coordination and project tracking Support property management workflows and leasing coordination Systems & Process Optimization Build and refine SOPs across operations (leasing, investor communication, onboarding, etc.) Maintain clear and usable documentation (Google Docs, Loom, checklists) Improve cross-team workflows (acquisitions → rehab → lease-up) Identify and implement simple system improvements and integrations Personal Support (Light) Track and review personal budget and expenses Support scheduling of personal and family activities Requirements 5–7 years of experience in EA, Operations, Chief of Staff, or similar roles Experience in real estate, PropTech, FinTech, or adjacent industries is highly preferred Proven experience building or improving systems and SOPs Strong ownership mindset with the ability to drive execution independently Excellent organization and attention to detail Strong written communication and documentation skills Proficiency with Google Workspace, Asana (or similar), and CRMs (HubSpot preferred) Comfortable blending business and personal executive support Availability during Pacific / Mountain Time working hours Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland; Budapest, Hungary Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Prague, Czechia; Brno, Czechia; Amsterdam, Netherlands; Eindhoven, Netherlands; Utrecht, Netherlands Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Lisbon, Portugal; Porto, Portugal; London, United Kingdom; Cambridge, United Kingdom; Manchester, United Kingdom Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Brussels, Belgium; Antwerp, Belgium; Munich, Germany; Berlin, Germany Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.