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Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Remote - US About the Job: As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily. This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture. You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. Responsibilities: Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction ( CUPED , Winsorization), power analysis. Ensure statistical correctness across all experiment types. Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. Drive the platform roadmap with product, design, and data science. Shape what we build, not just how. Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams. Mentor engineers and raise the team's bar for statistical rigor and system design. Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting. Qualifications: 10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services. Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction ( CUPED ), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs. Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or RL -based allocation. Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar. Expertise in Go, Python, or similar for backend services and statistical computation. Experience with event-driven architectures, data pipelines, and large-scale data processing. Cloud environments (AWS, GCP) with infrastructure-as-code. Technical leadership: setting direction, breaking down complex problems, influencing across teams. Ability to translate statistical concepts for product and engineering audiences. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350* Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,0202** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: US, Boston, MA 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 design robots in simulation before building them in hardware. As a Robotics Simulation & RL Engineer, you will help design and validate future generations of our robotic platforms - including bipedal and wheeled systems - using physics simulation and reinforcement learning. You will develop tools to determine whether a robot design can perform real-world tasks before committing to hardware. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies. A key responsibility of this role is owning and validating the canonical robot models (URDF and simulation assets) used across simulation and control stacks. WHAT YOU’LL DO - Design and evaluate new robot platforms using physics simulation - Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits - Use reinforcement learning to stress-test robot designs and explore capability limits - Own and maintain URDF models of current and future robot platforms - Maintain the CAD → URDF → simulation pipeline - Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness - Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout - Collaborate with mechanical, control, and perception teams to guide platform design decisions WHAT WE'RE LOOKING FOR - M.Sc http://M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control, or a related field - Strong foundation in robot kinematics and dynamics - Experience with robot simulation environments (MuJoCo, Isaac Sim, Gazebo, or similar) - Experience with reinforcement learning in robotics or physics-based simulation - Experience working with URDF or similar robot description formats - Strong programming skills in Python and/or C++ - Experience training RL locomotion or manipulation policies Nice to have: - Experience with legged, humanoid, or wheeled robots; - Experience with whole-body control or torque-controlled robots; - Experience with simulation-driven hardware design; - Experience building large-scale RL training pipelines. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the target base salary range is $200K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Beijing, China Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for an Account Executive — Gaming/Adtech Sales who is relationship-driven, commercially sharp, and deeply immersed in China's gaming and digital advertising ecosystem to join our Revenue & Partnerships team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the full sales cycle — from prospecting and pitching through to close — across a diverse book of gaming advertisers and publishers across China and the broader APAC market. Strong commercial acumen and communication skills are essential, along with experience in digital advertising sales, performance marketing, or gaming monetization within the Chinese market. The ability to build enduring client relationships grounded in trust, navigate China's complex and fast-moving digital advertising landscape, and manage multi-stakeholder deal structures will be key to your success in this role. If you're passionate about the intersection of gaming and advertising technology and love building innovative ad solutions that help game developers grow their player base and revenue across the world's largest gaming market, we would love to hear from you! Responsibilities: Own the full sales cycle for gaming ad sales accounts across China and the APAC region — from prospecting and outreach through pitch, negotiation, and close, with a strong focus on relationship cultivation consistent with Chinese business practices Build and maintain strong, trust-based, long-term relationships with game developers, publishers, and advertising agencies, acting as the primary point of contact for Xsolla's ad monetization solutions in the Chinese market Identify and develop new business opportunities by leveraging existing networks, attending industry events, and proactively targeting key accounts within China's gaming and advertising ecosystem Develop tailored account plans and pitch materials that align client goals with Xsolla's product offerings, including offerwall, rewarded ads, and performance-based monetization tools, localized appropriately for the Chinese market Collaborate cross-functionally with global product, marketing, and partner success teams to ensure client campaigns are delivered effectively and meet performance targets Monitor campaign performance, provide clients with regular reporting and insights in both Mandarin and English, and proactively recommend optimizations to maximize results and retention Maintain accurate and up-to-date records of all sales activities, pipeline status, and account details in CRM (Salesforce) Represent Xsolla at key gaming and ad tech conferences and trade events across China and APAC (e.g., China Joy, Game Connection Asia, Pocket Gamer Connects, WePlay Expo) Provide market intelligence on advertiser trends, competitor activity, platform developments, and emerging opportunities across China's gaming and digital advertising markets Qualifications and Skills: 3+ years of experience in digital advertising sales, ad tech, gaming monetization, or a closely related field within the Chinese market Proven track record of meeting or exceeding sales targets and managing a full sales cycle, including experience navigating China's relationship-driven (guanxi-based) enterprise sales environment Strong understanding of performance advertising models (CPI, CPA, CPM) and the mobile gaming ecosystem, with familiarity with China's major publishers and platforms (Tencent, NetEase, miHoYo, ByteDance/TikTok, Bilibili, Kuaishou, Baidu) Native or business-level proficiency in Mandarin Chinese, with strong working proficiency in English — the ability to operate fluently across both languages in client-facing and internal communications is essential Excellent interpersonal and presentation skills with a strong understanding of Chinese business culture, including relationship-building norms, hierarchy, and enterprise decision-making dynamics Proficiency in CRM software (Salesforce preferred) and standard sales tooling, as well as familiarity with Chinese business communication platforms (WeChat, DingTalk) Strong organizational skills with the ability to manage multiple accounts simultaneously and adapt quickly to China's rapidly evolving regulatory and platform environment Based in or willing to relocate to Beijing, China; eligible to work in China without visa sponsorship Nice to Have: Experience working with offerwall, rewarded video, or user acquisition advertising products within the Chinese mobile gaming space Established network within China's games industry — publishers, studios, ad agencies, or platform partners (WeChat Mini Games, Douyin, Kuaishou, Huawei AppGallery, TapTap) Familiarity with mobile game monetization metrics (ARPU, LTV, ROAS, D7/D30 retention) and China-specific monetization trends such as gacha mechanics, battle pass models, and live-service content strategies Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (中华人民共和国个人信息保护法 — PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws, including the PIPL, the Cybersecurity Law (网络安全法), and the Data Security Law (数据安全法), and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com

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: Dubai, United Arab Emirates AHS is seeking a highly experienced and detail-oriented Head of Audit to lead our internal audit function. In this pivotal role, you will be responsible for overseeing all auditing activities, ensuring compliance with regulatory requirements, identifying risks, and enhancing internal controls across the organization. The Head of Audit will work closely with senior management and the board to promote strong governance and risk management practices. Key Responsibilities Develop and implement the internal audit strategy, plans, and programs aligned with organizational objectives. Lead and manage the internal audit team to conduct audits across various departments and projects. Evaluate the effectiveness of internal controls, risk management processes, and governance structures. Identify operational, financial, and compliance risks, providing actionable recommendations for improvement. Coordinate with external auditors and regulatory bodies as required. Prepare and present audit reports to senior management and the board, highlighting key findings and follow-up actions. Ensure adherence to auditing standards, policies, and procedures. Drive continuous improvement in audit methodologies and tools to enhance audit effectiveness. Provide guidance and training on audit best practices throughout the organization. Requirements Bachelor’s degree in Accounting, Finance, or a related field; CPA, CIA, or equivalent certification preferred. Minimum 8 years of experience in internal audit with at least 3 years in a leadership role. Strong knowledge of auditing standards, risk management, and corporate governance. Excellent analytical, communication, and report-writing skills. Proven ability to manage audit teams and complex audit projects. High ethical standards and commitment to confidentiality and integrity. Proficiency with audit software and Microsoft Office Suite. Experience in the real estate or construction industry is a plus. Ability to work independently and collaboratively with cross-functional teams.

Location: Mexico; Colombia Looking to start your career in recruitment and gain real, hands-on experience in a fast-growing international company? At Avomind, we connect exceptional talent with some of the world’s most exciting high-growth companies. From startups to global organizations, we help build teams across business, strategy, analytics, and commercial roles in Europe, the Americas, and Asia. We’re looking for a Talent Acquisition Intern who wants more than an internship — someone ambitious, curious, and eager to learn how global recruitment really works in practice. You’ll be exposed to the full recruitment lifecycle and work closely with experienced recruiters in a fast-paced, international environment. For high performers, this internship can be a pathway into a full-time role at Avomind . Requirements What you will do: Source and engage candidates globally using LinkedIn and other platforms Conduct initial screening conversations with candidates Learn how to evaluate profiles and identify strong talent for different roles Support interview coordination across time zones and stakeholders Maintain and update candidate data in our ATS Gain exposure to market mapping and recruitment strategy Help improve candidate experience through clear communication and follow-ups Support employer branding and talent acquisition projects What we are looking for: Students or recent graduates in HR, Business, Psychology, or related fields Strong interest in recruitment, people, and global business Excellent communication skills in English (additional languages are a plus) High motivation, curiosity, and willingness to take ownership Comfortable working in a fast-paced, international environment Interest in LinkedIn sourcing or talent research is a plus, but not required Benefits Why Avomind? Real, hands-on experience in global recruitment from day one Direct mentorship from experienced talent acquisition professionals Exposure to international clients, roles, and markets A fast-paced environment where your work has real impact Strong learning curve in sourcing, interviewing, and talent strategy Opportunity to grow into a full-time role based on performance A clear path to build a career in recruitment, HR, consulting, or business

Location: Tashkent, Uzbekistan Job Overview We are seeking an experienced Finance Controller / Finance Manager to oversee financial operations for our growing real estate business in Tashkent, Uzbekistan. The ideal candidate will have a strong background in real estate finance, excellent analytical skills, and hands-on experience with accounting software. Key Responsibilities Manage and oversee all financial operations, including budgeting, forecasting, and reporting Prepare monthly, quarterly, and annual financial statements Monitor cash flow, expenses, and financial performance of real estate projects Ensure compliance with local financial regulations and company policies Handle audits, tax filings, and financial risk management Collaborate with senior management for strategic financial planning Maintain accurate financial records using accounting software Optimize financial processes and cost efficiencies Monitor the financial performance of residential, commercial, and mixed-use development projects. Prepare project feasibility studies, financial models, investment analyses, and project cash flow forecasts. Track project costs, construction expenditures, development budgets, and project profitability. Support land acquisitions, project evaluations, and investment decision-making processes. Work closely with project development, construction, sales, and executive management teams. Manage relationships with banks, lenders, auditors, and external stakeholders. Support fundraising activities, project financing, and treasury management where required. Requirements Minimum 5+ years of experience in Finance, Accounting, or Financial Management. Mandatory experience within a Real Estate Development company. Experience managing finances for residential, commercial, or mixed-use development projects. Strong understanding of project accounting, development budgets, project cash flow management, and feasibility analysis. Experience with ERP/accounting systems such as Oracle, SAP, Zoho, QuickBooks, Microsoft Dynamics, or similar. Strong knowledge of financial reporting, budgeting, forecasting, and financial controls. Experience working with project financing, banking relationships, and treasury management is highly preferred. Fluency in English is mandatory. Russian or Uzbek language skills will be considered a strong advantage. Experience working in Uzbekistan, Central Asia, or emerging markets is highly preferred. Benefits Competitive salary package and commissions Opportunity to work with a growing real estate company Professional growth and leadership exposure Dynamic and collaborative work environment

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 product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Lead the product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions. Design AI Agent capabilities for engineering scenarios , including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation. Drive the integration of AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms to deliver a unified end-to-end product experience. Establish mechanisms for product effectiveness evaluation, user feedback, and continuous optimization , and support the product’s scale-up from pilot validation to broad adoption. 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 ToB products, platform products, or intelligent product solutions. Must have an engineering background , such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams. Strong understanding of DevOps , engineering productivity, software delivery processes, and quality systems , with the ability to abstract and productize complex workflows. Solid understanding of AI Agent product design , with the ability to design for task execution, workflow orchestration, result validation, and delivery closure. Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of Claude Code , Codex, Cursor , and Copilot , as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations. Strong structured thinking, cross-functional collaboration, and execution skills; experience with engineering platforms, DevOps platforms, platform products, or intelligent products is a plus. Nice to Haves Experience with products related to AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows . Experience building engineering platforms, DevOps platforms, or platform products from 0 to 1 or from 1 to N. Hybrid background of engineering-to-product transition , or contributions to open source, communities, or public thought leadership in AI or engineering productivity. 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: 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: Riyadh, Saudi Arabia Müller's Solutions is seeking a meticulous and experienced Hospitality Auditor specializing in Hotels, with expertise in both Hotel Operations and IT. As a key member of our team, you will be responsible for evaluating and ensuring the effectiveness of operational processes and IT systems within the hospitality sector, particularly in hotels. Your assessments will help enhance compliance, operational efficiency, and risk management, supporting the delivery of superior guest experiences. Key Responsibilities: Conduct comprehensive audits of hotel operations, including front desk, housekeeping, food and beverage, and other service areas to ensure adherence to company policies and industry standards. Perform IT audits focused on hotel management systems, POS systems, network security, data integrity, and compliance with IT protocols. Identify operational inefficiencies, control weaknesses, and potential risks, providing actionable recommendations for improvement. Collaborate with hotel management and IT teams to implement audit recommendations and enhance process compliance. Prepare detailed audit reports and presentations for senior management outlining findings and corrective actions. Stay updated on industry best practices, regulatory requirements, and emerging technologies relevant to hotel operations and IT systems. Hotel operations and financial controls Supporting functions (HR, engineering, maintenance, H&S) IT systems supporting hotel operations Operational efficiency and compliance Requirements Bachelor's degree in Hospitality Management, Information Technology, or a related field. Minimum 5 years of experience in hospitality auditing, hotel operations, or IT auditing within the hotel industry. Strong knowledge of hotel operational processes and IT systems used in hospitality. Proficiency in audit methodologies, risk assessment, and compliance standards. Excellent analytical, organizational, and report-writing skills. Ability to communicate findings clearly to diverse stakeholders. Detail-oriented with a commitment to maintaining high standards. Relevant certifications such as Certified Internal Auditor (CIA), Certified Hospitality Auditor, or IT audit certifications are a plus. Bilingual professional (Arabic and English) with experience in the Hajj and Umrah sector. Extensive experience in capital project audits and IT application reviews. Strong background in the hospitality industry Familiar with regulatory requirements of the Ministry of Tourism and the Capital Market Authority (CMA). Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.