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Location: San Francisco; Palo Alto PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: CIS; Baku; Serbia Workplace: remote ABOUT YOU   We are seeking a highly analytical and hands-on Senior FinOps Engineer to lead and mature our cloud and infrastructure financial management capabilities across GCP, AWS, and on-prem environments. As part of our talented infrastructure team, you will drive cost transparency, optimize cloud spend at scale, and partner with engineering, product, and finance teams to ensure that Xsolla’s global infrastructure is efficient, predictable, and aligned with business priorities.   The ideal candidate brings a deep technical understanding of modern cloud platforms (GCP / AWS) and experience working in Kubernetes-centric environments. You excel at turning complex usage patterns into actionable insights, influencing technical teams, and establishing a culture of cost accountability and data-driven decision-making. You balance tactical optimizations with long-term architectural improvements and know how to navigate both engineering conversations and executive discussions.   If you’re passionate about building scalable FinOps practices in a fast-growing, product-led company—and want to directly impact how we run and scale our global platform—we’d love to hear from you.   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. Responsibilities: Lead the cloud cost optimization strategy across GCP, AWS, and on-prem infrastructure, ensuring efficiency, transparency, and financial predictability Analyze compute, storage, networking, and Kubernetes resource usage to identify actionable cost-saving opportunities without compromising performance or reliability Build and maintain forecasting models, dashboards, and automated reporting that provide real-time visibility into cost drivers and trends across teams and services Develop and implement tagging/labeling standards, budgeting processes, and governance policies to enable cross-organizational accountability Collaborate closely with Engineering, Finance, and Product to guide workload placement, architecture decisions, and scaling strategies Drive adoption of FinOps best practices including rightsizing, reservation planning, autoscaling optimizations, multi-cloud efficiency, and cost-effective storage strategies Create and refine internal tooling, automation, and pipelines for cost monitoring, anomaly detection, and usage attribution across Kubernetes clusters, virtual machines and physical servers, located both in datacenters and cloud providers Advocate for a cost-aware culture by training engineering teams, running FinOps reviews, and communicating insights to both technical and non-technical stakeholders Stay up to date with the latest cloud pricing models, vendor offerings, and industry trends to continuously evolve Xsolla’s FinOps maturity Qualifications: 5+ years of experience in cloud infrastructure, platform engineering, SRE, or DevOps roles with a strong focus on cost optimization Hands-on experience with GCP (priority) and AWS; strong understanding of cloud pricing models, resource types, and cost management tooling Deep knowledge of Kubernetes resource allocation, autoscaling, workload placement, and cost attribution in distributed environments Proficiency with cloud cost tools (GCP Billing exports, BigQuery, AWS CUR, 3rd party cost monitoring tools (Kubecost, CloudHealth), cost monitoring features in observability tools, custom dashboards, etc.) Strong analytical and data-engineering skills, able to build dashboards, SQL-based pipelines, and forecasting models Experience driving cross-functional initiatives and influencing engineering, product, and finance stakeholders Excellent communication skills with the ability to translate technical concepts into business-focused recommendations Fluent in English (written and verbal) Nice To Have: GCP and/or AWS cloud certifications (on Professional level, preferable) Understanding of FinOps Framework practices or FinOps Certified Practitioner certification Prior experience in gaming, high-growth tech, SaaS, or multi-cloud platform environments Familiarity with chargeback/showback models, internal cost allocation systems, or multi-tenant architectureExperience with Terraform, Helm, or GitOps workflows in cost-related automation Background in data analytics, cloud architecture, or financial modeling The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth Note   This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the FinOps Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Georgia Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are seeking a dynamic and motivated Senior AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements. WHAT YOU WILL DO - Collaborate with cross-functional teams to design and build AI Agentic solutions. - Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production. - Take ownership of assigned tasks and deliver high-quality, maintainable code. - Manage backend tasks while contributing to frontend development. - Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge. - Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions. EXPERIENCE AND SKILLS YOU NEED TO JOIN US - Experience in full-stack development using mainly NodeJS (with TypeScript). - At least 1 year of experience in AI Engineering role. - Versatile in technology use, comfortable working across backend and frontend tasks. - Track record in staying current with AI and Agentic technologies, including best practices and architecture. - Openness to client collaboration, fostering clear communication and effective partnership. - Strong commitment to learning new technologies and swiftly adapting to new products and APIs. - Understanding of Retrieval-Augmented Generation (RAG) and its applications. - Familiarity with Multi-Agents concept, tools usage and MCP Servers. - Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic). - Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience. - Understanding of prompt design principles and an ability to create effective prompts. - Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP). - Basic experience with CI/CD pipelines and DevOps best practices. - Competence in REST API usage and efficient database integration. - Fluency in English language. IT WOULD BE GREAT IF YOU ALSO HAVE - Basic knowledge of machine learning principles. - Understanding Python source code. - Experience with React. - Experience with model fine-tuning and distillation. - Familiarity with LLM evaluation. - Experience with Model Context Protocol (MCP). - Experience with graph databases. - Familiarity with other programming languages and frameworks. - Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. We're looking for a Partnerships Lead, GSIs to build and scale Replit's relationships with the world's largest systems integrators. This is a high-impact, externally-facing role at the intersection of channel strategy, enterprise go-to-market, and ecosystem development. You'll own how Replit shows up for the EYs and Accentures of the world, building the programs, partnerships, and co-sell motions that turn GSI relationships into a meaningful revenue channel. AI-driven software development is reshaping how enterprises build, and GSIs are at the center of how that transformation gets delivered to their clients. This role is for someone who knows how GSIs work from the inside, their practice models, their incentives, their org structures, and who can build the trust and commercial frameworks needed to make Replit a go-to platform in their delivery stack. WHAT YOU'LL DO - Own and develop Replit's GSI Channel program strategy, building on the momentum of our Accenture partnership to recruit, enable, and scale additional GSI relationships (e.g., Deloitte, Cognizant, Infosys, Wipro, TCS, and others). - Serve as the primary relationship owner for key GSI partners, developing joint go-to-market plans, co-sell motions, and solution frameworks that drive pipeline and revenue. - Build and manage the partner enablement program, including training, certifications, and technical resources that equip GSI teams to position and deliver Replit-powered solutions to their enterprise clients. - Collaborate closely with Replit's Enterprise Sales team to identify and pursue co-sell opportunities, aligning GSI capabilities with customer needs for AI-driven software development. - Develop joint solution offerings with GSI partners that combine Replit's platform with partner delivery capabilities, targeting use cases in application modernization, developer productivity, and AI transformation. - Define and track partnership KPIs, including partner-sourced and partner-influenced pipeline, revenue, certifications, and customer outcomes. Regularly report progress to leadership. - Represent Replit at partner events, industry conferences, and executive briefings to deepen relationships and expand our partner ecosystem. - Negotiate partnership agreements, including commercial terms, co-marketing commitments, and joint investment plans. REQUIRED SKILLS & EXPERIENCE - 8+ years of experience in partnerships, channel sales, alliances, or business development, with a significant focus on GSI relationships. - Proven track record of building and scaling GSI or large SI partnerships at a high-growth technology company, ideally in developer tools, cloud infrastructure, or enterprise SaaS. - Deep understanding of how GSIs operate, including their practice models, delivery structures, go-to-market motions, and decision-making processes. - Experience developing joint solutions and co-sell motions with GSI partners that resulted in measurable pipeline and revenue growth. - Strong executive presence with the ability to build trust and credibility with senior leaders at GSI firms and within your own organization. - Highly collaborative, with experience working cross-functionally across Sales, Product, Marketing, and Customer Success teams. - Comfort operating in a fast-paced, early-stage environment where you will need to build processes and programs from scratch. - Excellent communication and storytelling skills, with the ability to articulate the value of AI-driven development to both technical and business audiences. - Bachelor's degree required; MBA or equivalent experience is a plus. BONUS QUALIFICATIONS - Join at a pivotal moment: Replit is defining a new category in AI-powered software development, and our GSI channel is a strategic growth lever. - Work alongside a world-class team passionate about making software creation accessible to billions of people. - Competitive compensation, including equity, comprehensive benefits, and flexible work arrangements. - Be part of a culture that values speed, ownership, and impact over process and politics. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: New York; Stockholm Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure: from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment. You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design. This is a hands-on, deeply technical role focused on real systems, not compliance or policy. WHAT YOU’LL WORK ON: Platform & Runtime Security - Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments) - Strengthen boundaries between customers, workloads, and internal systems - Identify and mitigate risks in distributed, dynamic compute environments Container & Orchestration Security - Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar) - Improve workload isolation, scheduling boundaries, and runtime protections - Evaluate tradeoffs in multi-tenant execution models Identity & Access Management - Design and improve authentication and authorization systems across services - Implement strong service-to-service identity and least-privilege access patterns - Improve access controls across infrastructure and internal systems Secrets & Key Management - Build and maintain systems for securely managing secrets, tokens, and credentials - Improve rotation, auditing, and access controls - Reduce secret sprawl and integrate secure patterns into developer workflows Cloud & Infrastructure Security - Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability - Improve network boundaries, service segmentation, and access controls - Embed security into infrastructure-as-code and deployment systems Engineering Partnership - Work closely with product and infrastructure teams to design secure systems from the ground up - Review architecture and code for security risks and provide actionable guidance - Identify patterns in risks and drive cross-cutting improvements YOU MAY BE A FIT IF: Core Experience - You have experience securing cloud-native infrastructure and distributed systems in production - You have a background in infrastructure, backend, or security engineering - You’ve worked in multi-tenant or high-scale environments Technical Depth - You have a strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar) - You’ve designed or secured isolation mechanisms in multi-tenant systems - You have a solid understanding of authentication, authorization, and service identity models - You have experience with secrets management and secure handling of credentials - You have a strong foundation in networking concepts (segmentation, service communication, access boundaries) Mindset - You have a builder mentality: you design and implement, not just review - You take a pragmatic approach to security in fast-moving environments - You’re comfortable working deeply with engineers and influencing system design NICE-TO-HAVE: - Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar) - Familiarity with kernel-level or low-level isolation primitives - Experience securing Kubernetes or similar orchestration systems in production - Background in developer infrastructure, compute platforms, or multi-tenant systems

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models toward higher throughput and lower latency, we’d love to hear from you! YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality, high-performance code - You’ve worked with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT) - You’re familiar with NVIDIA GPU architecture and CUDA - You have experience with ML performance engineering (tell us a story about boosting GPU performance: debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc.) NICE-TO-HAVE: - Familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc.)

Location: Hong Kong Top 3 Reasons To Join Us Competitive Salary Working on the latest tech for the insurtech market leader Shaping the future of the insurance industry About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global next-gen insurance platform for health, life, and P&C We work with insurance enterprise clients such as AXA, Bupa, MSIG, Marsh, Sun Life, Dai-ichi, and many more We have been recognized as the leading insurtech company by Fortune, Financial Times, CNBC, Statista, Asia Insurance Review and many others We're an international, diverse team of over 250 people with 40 nationalities and team members working remotely from all over the world We are backed by reputable VC funds and strategic institutional investors We have a global presence and clients in Asia, Europe, the Middle East, Africa, North America and Latin America We have built one of the fastest growing insurtech ecosystems with over 100K followers on LinkedIn We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are looking for a driven and strategic Business Development Manager to accelerate our growth globally. You will play a key role in identifying new opportunities, building strong relationships with industry stakeholders, and driving the end-to-end sales process for CoverGo’s platform within the insurance ecosystem. Identify, qualify, and develop new business opportunities across the insurance space Conduct thorough research on target clients to understand their business models, challenges, and opportunities Engage with senior stakeholders across prospective organizations (including insurers, consulting firms, and system integrators) to build strong, long-term relationships Lead discovery conversations to uncover client needs and position tailored solutions that demonstrate the value of the CoverGo platform Manage the full sales cycle, from prospecting and initial outreach to deal closure and handover for successful implementation Utilize sales tools (e.g., CRM platforms, data intelligence tools, and social selling channels) to build and maintain a high-quality pipeline Collaborate closely with internal stakeholders, including regional leadership, to ensure alignment on strategy and execution Represent the company at industry events, conferences, and networking opportunities to enhance brand visibility and generate leads What Success Looks Like Consistently building and maintaining a strong pipeline of qualified opportunities Establishing trusted relationships with key decision-makers across target markets Driving revenue growth through successful deal closures Contributing to the company’s expansion and market presence globally What We Need 3+ years of experience in B2B SaaS or technology sales, preferably within insurance or insurtech Strong understanding of insurance processes and supporting technologies (e.g., SaaS platforms, IT systems) Excellent communication and presentation skills in English, both written and spoken Fluency in Cantonese is required Fluency in Mandarin is a strong advantage Proven ability to manage complex sales cycles and consistently meet or exceed targets Experience using CRM systems (such as Salesforce or HubSpot) and sales intelligence tools (e.g., LinkedIn Sales Navigator, ZoomInfo) An existing network within the insurance industry—particularly in health insurance, managed care, or employee benefits—is a strong advantage Must be based in Hong Kong Why You'll Love Working Here Fully remote Flexible leave International environment Competitive remuneration package Performance bonus Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: United Kingdom; Bulgaria; Greece; Spain; Latvia; North Macedonia About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a highly skilled AI Automation Engineer to design, build, and optimize intelligent workflows and automation systems. This role is ideal for someone experienced in integrating AI tools (such as LLMs and APIs) into business processes, with a strong focus on operational efficiency and scalability. This is a remote AI engineering role offering the opportunity to work on cutting-edge automation projects in a fast-paced, high-growth environment. Key Responsibilities Design and implement AI-driven automation workflows using tools like Zapier, Make (Integromat), and custom APIs Integrate large language models (LLMs) such as OpenAI, Claude, or similar into business processes Build and maintain automation pipelines for sales, marketing, and customer support functions Develop scripts and backend logic (Python, JavaScript) to support scalable automation Optimize workflows for performance, reliability, and cost-efficiency Collaborate with cross-functional teams to identify automation opportunities Monitor and troubleshoot automation systems to ensure smooth operation Document processes and create scalable SOPs for internal use Requirements 2+ years of experience in automation engineering, AI integration, or workflow automation Strong experience with automation platforms (Zapier, Make, n8n, or similar) Hands-on experience with AI tools and APIs (e.g., OpenAI, Anthropic, Hugging Face) Proficiency in Python and/or JavaScript Experience with REST APIs, webhooks, and database integrations Familiarity with CRM systems (e.g., HubSpot, Salesforce) is a plus Strong problem-solving skills and ability to think in systems and processes Excellent written and verbal communication skills Experience working in remote, fast-paced environments Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Morocco We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English and Arabic (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: Espoo; Warsaw Workplace: Hybrid - Senior System Engineer (Ground Systems Hardware) - Location: Espoo, Finland / Warsaw, Poland - Department: Platform & Release Engineering - Reports to: Platform & Release Engineering Lead - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior System Engineer (Ground Systems Hardware), you’ll design and validate mission-critical ground hardware systems that enable ICEYE’s satellite operations, ensuring performance, reliability, and scalability across demanding environments. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design, integrate, and validate ground hardware systems at system level - Define and maintain hardware specifications, interfaces, and performance requirements - Conduct system modeling and identify design gaps and improvement opportunities - Own validation and acceptance testing, including test plans, setups, and final sign-off - Collaborate with product, systems, manufacturing, and operations teams to align designs with requirements - Ensure documentation accuracy, configuration control, and version management - Apply expertise in compute, power, and environmental systems to ensure reliability in operations - Drive continuous improvement of integration and testing processes WHAT WE’RE LOOKING FOR MUST HAVES: - 5 to 8+ years of experience in systems engineering for hardware-based products - Strong experience with virtualization technologies such as VMware, including vSAN and HCI - Strong networking knowledge including switches, VLANs, routing, and firewalls - Experience with storage systems such as Cloudian or Dell, including object storage concepts - Experience with server hardware platforms and rack-level design considerations - Strong background in hardware integration, validation, and environmental testing - Experience defining and managing technical specifications and system interfaces - Strong documentation, configuration management, and communication skills in English Nice to haves: - Experience with edge compute platforms and on-premise deployments - Familiarity with ruggedized hardware and environmental compliance testing - Experience with system modeling tools or requirements management systems - Understanding of ground systems, mission operations, or ISR architectures - Experience in satellite, earth observation, or defense systems APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Technical task - Technical panel interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Tbilisi, Georgia Workplace: remote Novakid is on a mission to build the best online education platform for kids worldwide. We’ve already got over 100,000 students and 4,500 teachers making learning awesome in over 15 countries in Asia, Europe and Latin America. But we’re not stopping there—we need your help to take things to the next level! We are looking for an experienced Product Analyst with strong SQL skills and solid experience in working with business data who can apply his/her expertise to help us grow. You will: Work closely with the acquisition team to support them with accurate, reliable, and timely data insights Own and drive growth of key acquisition funnel metrics Develop and maintain dashboards, perform ad-hoc analyses and deliver actionable insights to the acquisition team Ensure high quality of data collection and contribute to technical decisions that improve data pipelines and reporting systems Apply machine learning techniques to improve acquisition efficiency Collborte on development and evaluation of ML models (feature design, validation, interpretation of results) Use data-driven approaches to optimise user acquisitionSupport experimentation with advanced methods You have: 3+ years of relevant experience as a Product Analyst (preferably in a B2C or fast-growing company) Excellent SQL skills with hands-on experience in relational and columnar databases (we use Google BigQuery) Experience in building data models and data martsExperience with BI tools (Metabase, Tableau, PowerBI — we primarily use Metabase) Strong analytical mindset and good understanding of statistical methodsHands-on experience with A/B testing, from design to statistical evaluationKnowledge of Python for data analysis (pandas, numpy, scikit-learn, etc.) Experience applying ML in business contextsUnderstanding of causal inference / uplift modeling is a strong plus Good presentation and communication skills to explain findings clearlySolid English skills for business communication (B1+) What we  offer: Fully remote work. A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products. Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together.

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 As a Senior Mechanical Design Engineer on the Core Platform team, you’ll play a key part in turning ambitious, open-ended ideas into high-performing, real-world robotics solutions. Your work will span hands-on design, collaborative prototyping, and technical validation, driving innovation in mechanisms, and structures. You’ll develop detailed CAD models and documentation, ensure manufacturability and safety, and work closely with cross-disciplinary teams and vendors—all while adapting to rapidly evolving project needs. This is an opportunity for creative engineers who thrive on solving complex problems and shaping the future of robotic design. WHAT YOU’LL DO - Interpret Open-Ended Design Requirements: Help transform broad project requirements into detailed, pragmatic design specifications for new systems and components. - Collaborate Across Disciplines: Work with engineers from various disciplines to brainstorm, design, and develop prototype robots that meet challenging performance targets. - Innovate with Mechanisms and Structures: Design and refine innovative mechanisms, interfaces, and structures that elevate robot performance, from energy-absorbing crash protection to ergonomic robot coverings. - CAD Design & Documentation: Create and manage CAD models, engineering drawings, assembly documentation, and test plans for parts and assemblies. - Analysis and Validation: Perform necessary analyses on new designs, validate them through bench tests, and ensure that they meet all performance, safety, and manufacturability standards. - Troubleshoot and Implement Solutions: Identify and resolve design issues by determining root causes and implementing effective corrective and preventative measures. - Vendor Management: Collaborate with external vendors for components and assemblies that require outsourcing, ensuring that third-party designs meet Humanoid’s stringent requirements. - Adapt to Changing Needs: Stay flexible and responsive to changing project requirements while maintaining a team-first, collaborative mindset.   WHAT WE'RE LOOKING FOR - BSME with 5+ years of relevant experience - Experience designing high‑performance mechanical structures, motion mechanisms, and integrated systems, ideally in robotics or comparable high‑precision fields. - Advanced proficiency in CAD software (NX, SolidWorks, Creo etc.) with experience in FEA and topology optimization. We use Siemens NX. - Strong understanding of ASME drafting standards, including GD&T (Y14.5-2018). - Experience transitioning designs from early concepts (NPI, EVT, DVT) to production. - Familiarity with production processes such as casting, sheet metal, stamping, hydroforming, composites, and compliant energy-absorbing structures. - Experience designing lightweight, high-performance structures, compliant mechanisms, and flexible energy-absorbing designs. - Creative and collaborative thinking with a team-first mentality. 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 expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Hsinchu Workplace: hybrid Ajax Systems is expending and is looking for a Hardware Engineer to strengthen our team in Taiwan.   Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses of any scale. To date, the Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. As a Senior Hardware Engineer, you will not only design circuits but also serve as a technical cornerstone for our R&D in Taiwan. We are looking for an expert who brings strategic value: someone who can oversee complex system architectures, consult on cross-departmental optimizations, and mentor the team on high-performance design methodologies. You will be the bridge between innovative concepts and mass-scale manufacturing. Key Responsibilities Architecture & Design: Develop sophisticated schematic solutions and PCB layouts for new Ajax devices, ensuring high reliability and scalability. Strategic Optimization: Proactively identify opportunities for cost reduction and performance enhancement through component unification and innovative architectural shifts. Project Oversight: Lead complex hardware projects from initial concept through to mass production (10,000+ units/month), ensuring all technical risks are mitigated. Cross-Functional Consultation: Act as a subject matter expert for the firmware and supply chain teams to optimize the hardware-software interface and manufacturing yield. Prototype Lifecycle: Lead the “bring-up” process, debugging complex issues and defining rigorous testing protocols for design validation. Requirements Advanced Circuit Design: Expert-level calculation of circuit elements and high-fidelity simulations of device behavior. EDA Mastery: Professional proficiency in Altium Designer (experience with managed libraries and 3D modeling is preferred). Design for Excellence (DfX): Proven track record of designing for LVD/EMC compliance and mass manufacturing (DFM/DFT). Power Management: Deep expertise in designing both battery-powered and mains-powered (85–265 VAC) devices. Full Lifecycle Ownership: Experience preparing comprehensive production documentation (BOM management, Gerber files, assembly drawings) using Git for version control. Communication: Fluent English is required for technical documentation and international collaboration. Preferred Qualifications Supply Chain Leadership: Direct experience working with vendors and manufacturers for high-volume production. High-Speed Design: Advanced understanding of Signal Integrity (SI) and Power Integrity (PI). Experience with S-parameters, PDN impedance modeling, and TDR measurements. System-Level Thinking: Ability to write or review embedded software (C/C++, STM32) to facilitate deep-level debugging and hardware-software co-design. Regulatory Mentorship: Experience guiding products through global certifications (UL, CE, RED), beyond basic compliance.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London. In this role, you will work on teaching our robots to manipulate the world around them. This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work). WHAT YOU’LL DO - Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment. - Come up with data preprocessing strategies to improve the quality of collected data. - Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world. - Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions. - Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators. - Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience. - Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs. WHAT WE'RE LOOKING FOR - 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack. - Experience with neural network post-training. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. - Good familiarity with modern software engineering practices. - Ability to document experiments clearly and communicate trade‑offs crisply. Nice to have: - Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. - Experience applying RL to robotics problems. - Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: London, England 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: 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: Shenzhen / Dongguan / Guangzhou / Foshan Workplace: hybrid Ajax Systems is expending and is looking for a Senior/Lead Hardware Engineer to strengthen our team in China.   Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses of any scale. To date, the Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. As a Senior Hardware Engineer, you will not only design circuits but also serve as a technical cornerstone for our R&D in China. We are looking for an expert who brings strategic value: someone who can oversee complex system architectures, consult on cross-departmental optimizations, and mentor the team on high-performance design methodologies. You will be the bridge between innovative concepts and mass-scale manufacturing. Key Responsibilities Architecture & Design: Develop sophisticated schematic solutions and PCB layouts for new Ajax devices, ensuring high reliability and scalability. Strategic Optimization: Proactively identify opportunities for cost reduction and performance enhancement through component unification and innovative architectural shifts. Project Oversight: Lead complex hardware projects from initial concept through to mass production (10,000+ units/month), ensuring all technical risks are mitigated. Cross-Functional Consultation: Act as a subject matter expert for the firmware and supply chain teams to optimize the hardware-software interface and manufacturing yield. Prototype Lifecycle: Lead the “bring-up” process, debugging complex issues and defining rigorous testing protocols for design validation. Requirements Advanced Circuit Design: Expert-level calculation of circuit elements and high-fidelity simulations of device behavior. EDA Mastery: Professional proficiency in Altium Designer (experience with managed libraries and 3D modeling is preferred). Design for Excellence (DfX): Proven track record of designing for LVD/EMC compliance and mass manufacturing (DFM/DFT). Power Management: Deep expertise in designing both battery-powered and mains-powered (85–265 VAC) devices. Full Lifecycle Ownership: Experience preparing comprehensive production documentation (BOM management, Gerber files, assembly drawings) using Git for version control. Communication: Fluent English is required for technical documentation and international collaboration. Preferred Qualifications Supply Chain Leadership: Direct experience working with vendors and manufacturers for high-volume production. High-Speed Design: Advanced understanding of Signal Integrity (SI) and Power Integrity (PI). Experience with S-parameters, PDN impedance modeling, and TDR measurements. System-Level Thinking: Ability to write or review embedded software (C/C++, STM32) to facilitate deep-level debugging and hardware-software co-design. Regulatory Mentorship: Experience guiding products through global certifications (UL, CE, RED), beyond basic compliance.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — preferable to have someone near an office in NYC or San Francisco. This is a rare PM role with true vertical ownership across the full product lifecycle; from early-stage research and pre-training through to post-training and UX buildout through to GTM strategy and pricing - giving the right person a GM-like mandate to drive product decisions end-to-end in a way that's unique for a company of our scale. We’re looking for a passionate Product Manager to help us develop cutting-edge AI tools. This role is for someone who has a combination of strong technical or ML background and experience in product management. You have the ability to take the state-of-the-art AI systems our research team builds and turn them into impactful tools for our customers. You’ll deeply understand what users want, what’s possible to build, and what’s strategic for our business. You’ll be a bridge between our users and our internal teams so we ship products that have the most value for Runway’s creators. This role is a fundamental and critical part of the team for a market-defining company in its early stages. WHAT YOU’LL DO - Work alongside our research team to define new AI applications that solve customer needs and drive business value - Collaborate closely with engineering and design to productize research and continuously improve existing tools - Define and analyze metrics, talk with users weekly, and conduct A/B tests to discover use cases, validate pain points, and prioritize features WHAT YOU’LL NEED - 1+ years of direct experience with SQL, python, code generation tools, and version control best practices - 4+ years of product management experience - Familiarity with the current state-of-the-art ML capabilities and ML products - Experience working with fast-moving teams and building products from scratch - Passion for seeing research through from initial conception to ultimate application - Excellent written and verbal communication skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024