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Location: Ghent, Belgium D-ploy is a dynamic IT and Engineering Solutions company operating across the EMEA region, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We are committed to delivering reliable and efficient services to our clients through strong partnerships and a people-focused culture. We are looking for an experienced Business Analyst to support a Microsoft 365 data classification and information protection initiative within an international, highly regulated environment. This role is ideal for someone who combines strong business analysis skills with a solid understanding of information governance, data protection and Microsoft 365 collaboration tools. You will work closely with business stakeholders, technical specialists and compliance teams to translate data protection policies into practical business processes, technical requirements and user-friendly solutions, ensuring that security measures are effectively implemented and adopted across the organization. Key Responsibilities Gather, analyze and document business requirements related to data classification, information protection and secure collaboration. Translate data classification policies into clear business requirements for sensitivity labels, encryption, sharing permissions and Data Loss Prevention (DLP) controls. Define and document processes for classifying and labelling new and existing files, documents and SharePoint sites. Collaborate with business stakeholders and key users to identify sensitive information, high-risk content and potential compliance gaps. Identify and document business scenarios and exceptions involving external collaboration, partner access, mobile devices and Microsoft Copilot. Develop test scenarios and test cases for proof-of-concept activities, coordinate User Acceptance Testing (UAT) and consolidate findings to support implementation decisions. Define key performance indicators (KPIs) to measure adoption, compliance and technical effectiveness, including reporting requirements and data sources. Work closely with technical teams, cybersecurity specialists and information governance stakeholders to ensure alignment between business requirements and technical solutions. Support change management and user adoption initiatives by contributing to training materials, user guides, FAQs and stakeholder communications. Requirements What We're Looking For 4+ years of experience as a Business Analyst, including projects related to compliance, information governance or data protection. Proven involvement in at least one Microsoft 365 information protection or secure collaboration project. Good working knowledge of Microsoft Purview sensitivity labels and Data Loss Prevention (DLP) from a business and process perspective. Experience translating data classification, information governance or data protection policies, such as GDPR or GxP, into practical business processes and controls. Strong experience gathering and documenting business requirements, designing processes and facilitating stakeholder workshops. Experience developing test scenarios, writing test cases and coordinating User Acceptance Testing (UAT). Ability to define KPIs and reporting requirements using tools such as Excel, Power BI or monday.com. Experience working in regulated industries, preferably pharmaceuticals, life sciences or similar environments. Excellent communication, documentation and stakeholder management skills. Fluency in English. Valid criminal record extract, not older than three months, required. Nice to Have Microsoft SC-401 or previous SC-400 certification. Experience with change management methodologies such as Prosci. Familiarity with monday.com or similar project management and reporting platforms. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Dallas, United States; Texas City, United States Location: Remote, U.S. (Dallas-Fort Worth area preferred) Employment Type: Full-Time Travel: Approximately 20% domestic travel required About the Opportunity Join a fast-growing clean-energy technology company developing advanced thermal energy storage solutions for commercial, industrial, and mission-critical facilities. This role will focus on integrating high-impact chilled-water and cooling-plant systems that help improve data center capacity, energy efficiency, resiliency, and grid stability. We are seeking a Senior Mechanical Systems Engineer with strong HVAC, hydronic, and chilled-water expertise to lead mechanical integration projects from design through commissioning across the United States. What You’ll Do Lead the mechanical design and integration of thermal energy storage and chilled-water systems. Develop and review P&IDs, hydronic piping layouts, equipment arrangements, valve schedules, and controls integration interfaces. Perform hydraulic and pipe-stress analyses and support code-compliant engineering documentation. Integrate systems with chillers, cooling towers, heat exchangers, pumps, and BAS/BMS platforms. Collaborate with data center operators, MEP firms, contractors, design engineers, controls integrators, and commissioning teams. Support site surveys, startup, commissioning, and functional testing activities. Provide technical input for presales efforts, proposals, and RFP responses. Create or apply automation tools, such as Python or Excel/VBA, to improve engineering analyses and documentation. Partner with global R&D and product teams to refine system designs and deployment methods. Mentor junior engineers as the engineering team expands. What We’re Looking For Bachelor’s degree in Mechanical Engineering; PE license preferred. 5+ years of experience in HVAC, chilled-water systems, or energy infrastructure. Strong knowledge of hydronic systems, thermodynamics, cooling plants, and BAS/BMS integration. Experience coordinating work across mechanical, controls, and electrical disciplines. Proficiency with AutoCAD, Revit, Plant 3D, or similar design tools. Familiarity with commissioning, startup, and field-execution processes. Ability to travel domestically up to 20% of the time. Requirements Bachelor’s degree in Mechanical Engineering; PE license preferred. 5+ years of experience in HVAC, chilled-water systems, or energy infrastructure. Strong knowledge of hydronic systems, thermodynamics, cooling plants, and BAS/BMS integration. Experience coordinating work across mechanical, controls, and electrical disciplines. Proficiency with AutoCAD, Revit, Plant 3D, or similar design tools. Familiarity with commissioning, startup, and field-execution processes. Ability to travel domestically up to 20% of the time. Preferred Qualifications Experience in data centers or other mission-critical facilities. Exposure to thermal energy storage systems. Familiarity with data-center cooling architectures, including air-side and water-side economization. Experience with industrial refrigeration or low-temperature glycol systems. Knowledge of ASHRAE, ASME B31.3, IPC, NEC, and applicable U.S. building codes. Experience with hydraulic or pipe-stress analysis software, such as Pipe-Flo or AutoPIPE. Familiarity with energy/load modeling tools, including TRACE or HAP. Experience using Python, VBA, Dynamo, or AI tools to automate engineering workflows. Experience preparing technical narratives, proposals, or RFP responses. Background in retrofit projects, operational facilities, or fast-growth environments. Benefits Work on advanced clean-energy infrastructure supporting the fast-growing data center market. Combine hands-on field execution with sophisticated engineering design. Contribute to high-visibility, mission-critical projects with meaningful environmental impact. Build a path toward technical leadership within a growing engineering organization. Receive a competitive compensation package including base salary, bonus potential, benefits, and stock options. Military veterans are encouraged to apply; leadership and field-operations experience are highly valued.

Location: Argentina; Brazil; Costa Rica; Chile; Colombia; Mexico About Huzzle At Huzzle, we connect exceptional B2B sales professionals with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Job Type: Full-time Job Summary We are looking for a proactive, results-driven SDR to help build and scale the outbound lead generation engine for a fast-growing tech company. Both founders of the team started their careers as SDRs, so they deeply value this role and its impact on the organization. This isn't a role for someone who just wants to hit volume targets; we are looking for a strategic prospector who takes ownership of the entire top-of-funnel process. You will be responsible for identifying high-quality leads, crafting tailored messaging, and booking meetings that turn into long-term customers. Key Responsibilities Research, identify, and add high-quality, relevant leads to the CRM within the SaaS, E-commerce, and Customer Service sectors. Build and manage multiple outbound campaigns targeting different customer segments and decision-maker personas. Develop personalized messaging and multi-channel outreach sequences across email, LinkedIn, and cold calling. Own the full execution of campaigns, including outreach cadence, follow-ups, and ongoing optimization. Proactively engage prospects to book qualified meetings with relevant decision-makers. Track campaign performance and maintain meticulous CRM records to ensure full visibility into the sales funnel. Report regularly on conversion rates, outreach activity, and pipeline influence. Requirements Experience: Mid-level experience in Sales Development or Lead Generation. Industry Knowledge: Must have a background in SaaS/Tech, E-commerce, and Customer Service industries. Core Skills: Expertise in Lead Generation, Appointment Setting, LinkedIn Outreach, and Lead Qualification. Location: Based in Latin America. Schedule: Ability to work Pacific Time (PT) hours with a mandatory overlap between 10:00–14:00 PT. Language: Full professional fluency in English. Mindset: A "builder" mentality with a sense of urgency and a focus on quality over sheer volume. Benefits 🎯 Performance-based incentives tied to SQL generation 🚀 Professional growth within a mature sales organization 🛠️ Opportunity to work autonomously with modern sales tools 💰Commission structure with high earning potential 🧠 Professional autonomy and independent work environment

Location: Abu Dhabi, United Arab Emirates; Dubai, United Arab Emirates We are looking for a skilled and reliable Motorcycle / Bike Mechanic to maintain, service, and repair motorcycles for a VIP private family in Abu Dhabi, UAE. The ideal candidate must have strong technical knowledge of motorcycles, excellent troubleshooting skills, and the ability to maintain vehicles in excellent working condition. Key Responsibilities Perform routine maintenance, servicing, and repairs on motorcycles. Diagnose mechanical, electrical, and engine-related issues. Inspect brakes, tires, suspension, transmission, and other components. Conduct oil changes, tune-ups, and preventive maintenance. Ensure all motorcycles are safe, clean, and ready for use. Maintain service records and monitor spare parts and tools. Handle urgent repairs and ensure high standards of workmanship and confidentiality. Requirements Requirements Proven experience as a Motorcycle Mechanic or Bike Technician. Strong knowledge of motorcycle engines, mechanical systems, and electrical components. Ability to diagnose faults and perform repairs independently. Experience servicing premium or high-performance motorcycles is an advantage. Good attention to detail, reliability, and professional conduct. Willingness to work in a private household environment. Benefits Monthly Salary: AED 3,000 plus free accommodation.

Location: Lagos, Nigeria The MIS Specialist will be responsible for operational reporting, data analysis, performance monitoring, and management insights across the Contact Centre. This role will ensure that accurate and timely data is available to monitor operational performance, identify trends and gaps, support staffing decisions, and improve overall customer experience and Contact Centre efficiency across Inbound Calls, Live Chat, Email, and social media. Requirements Key Responsibilities Operational Reporting & Data Management Prepare and deliver daily, weekly, monthly, and ad-hoc operational reports. Consolidate, validate, and reconcile data from multiple systems to maintain a single source of truth. Monitor and report on key performance indicators, including FCR, CSAT, NPS, AHT, Service Level, and Productivity. Automate recurring reports and streamline processes to reduce manual reporting activities. Performance & Customer Contact Analysis Analyze contact center performance by channel, team, agent, and issue type to uncover trends and performance gaps. Investigate significant anomalies and performance drops through root cause analysis to assess operational impact. Provide actionable insights and data to Team Leads and Managers to support coaching, performance management, and incentive calculations. Business Intelligence & Management Insights Develop and maintain dashboards that provide executive visibility into performance, workforce efficiency, and service delivery. Translate operational data into strategic management insights, highlighting emerging risks and opportunities for improvement. Prepare management reports and presentations for strategic stakeholder reviews. Support business cases, budgeting, and capacity planning through forward-looking data insights. Stakeholder Collaboration & Continuous Improvement Collaborate cross-functionally with internal teams to obtain and validate operational data. Translate stakeholder requirements into practical analytical and reporting solutions. Support initiatives involving new products, channels, or systems by providing impact assessments and workforce forecasts. Recommend and drive improvements to reporting processes and operational workflows based on data findings. Workforce Management & Planning Forecast contact center demand and determine staffing requirements based on historical trends, seasonality, and customer volumes. Develop and maintain staffing plans, shift schedules, and capacity models across all operational channels. Monitor staffing levels against actual demand to identify capacity gaps, overstaffing, or understaffing, and recommend adjustments. Track key workforce metrics, including occupancy, utilization, shrinkage, absenteeism, attrition, and schedule adherence. Qualifications & Experience 3–5 years' relevant experience in Contact Centre Analytics, Workforce Management, Operations Analytics, or Business Intelligence. Experience working in a high-volume Contact Centre environment, with an understanding of workforce planning and operational performance. Experience supporting multiple customer service channels, such as Voice, Email, Live Chat, and social media. Experience in fintech, banking, telecommunications, e-commerce, or another customer-focused industry is an advantage. Technical Skills & Core Competencies Advanced Microsoft Excel skills (Pivot Tables, XLOOKUP, Power Query) and proficiency in Power BI or equivalent dashboard tools. Experience using Contact Centre, CRM, telephony, or Workforce Management (WFM) systems. Solid understanding of Contact Centre operations, workforce metrics, KPIs, and forecasting methodologies. Strong analytical, problem-solving, and stakeholder communication skills, with the ability to translate data into actionable business insights.

Location: Buenos Aires, Argentina; São Paulo, Brazil; Bogotá, Colombia We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite an Intermediate Test Engineer with hands-on experience in both manual and automated testing to join our dynamic team. In this role, you’ll work across UI and backend/integration testing, validate new features, and use your understanding of the product to identify issues and help ensure smooth releases of new functionality. 🟩 What's in it for you: Work on a modern, evolving payments platform for a major global fintech client Leverage your experience in both manual and automated testing across UI and backend/integration layers Collaborate with product, engineering, business, and client teams across the U.S., Latin America, and India ✅ Is that you? 3-5 years of hands-on QA experience, with a strong background in both manual and automated testing Hands-on experience with test automation using C#/.NET Solid experience with UI testing, including Playwright or similar UI automation tools Experience with API testing using Postman or similar tools Experience with backend and integration testing Experience testing end-to-end functionality and identifying defects independently Strong understanding of QA fundamentals and best practices Ability to work effectively with limited or incomplete documentation Ability to adapt quickly to changing product requirements and priorities Strong analytical and problem-solving skills Strong communication and cross-functional collaboration skills Proactive and autonomous approach to work Upper-Intermediate English level Desirable: Familiarity with Datadog for reviewing errors, failures, and system logs Knowledge of GCP and Harness Experience working with Jira and Confluence Familiarity with GitHub Copilot or similar AI-powered tools 🧩 Key responsibilities and your contribution In this role, you’ll contribute to delivering reliable, high-quality functionality through manual and automated testing as the product continues to evolve. Execute manual test scenarios for new features, primarily across the UI Perform API and backend/integration testing as needed Build and maintain automated tests using C#/.NET Perform end-to-end testing as requirements and features evolve Analyze product functionality and user flows to identify issues and bugs Review errors, failures, and system logs in Datadog Use product knowledge and QA experience to verify functionality independently with minimal documentation Work with product, engineering, business, and client teams to clarify requirements and resolve issues Participate in bi-weekly release activities and provide support during late-night releases Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Serbia; Azerbaijan; Moldova; Cyprus; Spain We are looking for an organized, detail-oriented, and reliable HR Operations Specialist (russian & english) to join our team. In this role, you will be responsible for ensuring smooth day-to-day HR administrative operations, maintaining clean employee data, managing time tracking, supporting payroll preparation, and leading internal HR communications. If you thrive in an international remote environment, enjoy structuring operational processes, and have hands-on experience with modern HR tools, we would love to hear from you! Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone) non flexible - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key Responsibilities Employee Lifecycle & Records Administration: Maintain accurate and up-to-date employee profiles and documentation in our HR system (Workable). Support administrative processes across the entire employee lifecycle (onboarding, internal transfers, terminations, and status changes). Ensure document compliance and structured digital archiving. Time Tracking & Attendance: Track and monitor working hours, absences, and leave records via Uattend. Coordinate with department managers and employees to resolve any time tracking or timesheet discrepancies. Payroll Preparation Support: Consolidate and prepare monthly/bi-weekly payroll input data (working hours, leaves, status updates) for the Finance/Payroll team. Help resolve payroll-related data discrepancies to ensure accurate and timely processing. Internal HR Communications: Draft and distribute clear, timely company-wide announcements on HR policies, procedural updates, organizational changes, and lifecycle events. Serve as a reliable point of contact for employee inquiries regarding HR procedures. HR Reporting & Process Optimization: Maintain HR operational databases and prepare periodic HR reports. Assist in refining operational workflows, HR templates, and administrative standards. Requirements Experience: 2+ years of experience in HR administration, HR operations, or payroll support. Education: Bachelor’s degree in HR, Business Administration, or a related field (HR certifications are a plus). Languages: Fluent Russian and English (C1+ level) with strong written and verbal communication skills. Software & Tools: Experience with HRIS & ATS platforms (e.g., Workable ). Experience with time-tracking systems (e.g., Uattend ). Proficiency in Google Workspace / MS Office (especially spreadsheets/Excel). Familiarity with task management tools (e.g., ClickUp , Asana). Core Competencies: Exceptional attention to detail and process discipline. Strong organizational and time management skills. Ability to work independently in a remote environment. High commitment to data privacy and confidentiality. Benefits Fully remote work (you can be located anywhere in the world) 8.30 am - 5 pm, NY (EST zone) non flexible. Competitive compensation package (will be discussed with successful candidates). Benefits: paid vacation days + sick leave. Exposure to US market business operations and strategic projects. Dynamic environment with opportunities for professional growth.

Location: Kazakhstan; Thailand; Vietnam; Serbia; Georgia; Uzbekistan We are looking for a Python Developer to join a team that develops an internal analytics platform and builds AI solutions to automate the work of analysts and data engineers. You will work on backend services and analytics tools, integrate LLMs into existing products, and gradually take part in developing AI agents. This role is not only about AI development. It also includes regular backend tasks and working with frontend features. What You Will Do Develop and improve Python backend services for the internal analytics platform. Build features for analytics tools, admin interfaces, and services for data engineers. Integrate LLMs with databases, APIs, and analytics interfaces. Take part in developing AI agents for data analysis, generating SQL from natural language requests (Text2SQL), and automating routine tasks. Work on frontend features using React. Design APIs and integrations, take part in architecture discussions, and help choose technical solutions. Adapt open-source solutions to the platform's needs, write tests, and take part in code reviews. Requirements More than 3 years of commercial experience in Python backend development. Experience with React or a willingness to learn it quickly. Experience building backend services, APIs, and integrations between systems. Knowledge of SQL and experience with relational databases, such as PostgreSQL. Understanding of application architecture, design principles, and common development patterns. Interest in LLMs and AI agents, understanding of the basic principles behind language models, and willingness to use them to solve practical problems. Active use of AI tools in development and the ability to critically evaluate their results. Ability to work independently, take a structured approach to solving problems, and learn existing codebases and new technologies. Nice to Have Experience integrating LLMs through APIs or using AI frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen. Familiarity with vector databases such as pgvector, ChromaDB, or Qdrant. Experience with analytical databases and data warehouses such as ClickHouse, Greenplum, or Vertica. Familiarity with S3-compatible object storage, such as Ozone S3. Experience building admin interfaces, internal tools, BI solutions, or analytics dashboards. Experience with Docker, CI/CD, and service monitoring tools. Experience adapting and extending open-source solutions. English Proficiency: сonversational English at B1 level or above. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: emergingtravel.com/career/hr-policy

под руководством ментора разрабатывать и поддерживать оркестрацию агентов на LangGraph: реализовывать узлы графа, работать с состоянием и условными переходами. писать и улучшать скиллы и инструменты (tools) для агента: интеграция с внешними HTTP API, валидация результатов по JSON Schema, простые ReAct-подграфы.

Ответственность за качество ИИ-решений: определение критериев приёмки, контроль качества и принятие окончательного решения о допуске релизов в промышленную эксплуатацию. Развитие EvalOps: автоматизированные прогоны, регрессионные проверки, встраивание в CI/CD;

Опыт разработки агентов на Langraph по паттерну ReAct; Опыт разработки ML-моделей от 3 лет.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Infrastructure team builds the foundational inference systems that sit at the core of Figma’s AI products. Our team is responsible for ensuring products like Figma Make and Figma Agent are highly reliable, easily observable, and can seamlessly leverage the latest cutting-edge models. Our team owns critical production services like our AI gateway, metering systems, and trace infrastructure, as well as our strategy for hosting first-party models. This role is an opportunity to join a rapidly-growing team at the ground floor and directly contribute to our core AI platform. We’re looking for a hands-on engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build best-in-class AI features. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products. Partner with engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution. Hire, coach, and develop senior and staff engineers to scale the team. Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency. Build an inclusive team and culture through thoughtful team-building and hiring practices. We’d love to hear from you if you have: 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space. 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor. Experience working on production AI systems. A proven track record of motivating, mentoring, and growing experienced AI engineering leads. Demonstrated experience learning new AI technologies quickly building technical depth in a new domain. Experience building and scaling engineering teams and org structure as they grow. While it’s not required, it’s an added plus if you also have: Experience building AI agents, agent harnesses/loops, or LLM/agent tooling platforms. Experience building high-scale production infrastructure (e.g., traffic/inference systems, metering, anti-abuse and billing systems). A background in adjacent platform domains, like recommendation systems or networking. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United Kingdom; United States; Poland; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on the data infrastructure that powers our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the systems that make world-class data possible. You will thrive in this role if you enjoy:   - Building large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models. - Training models used in our data processing pipelines, such as classifiers, quality filters, and labeling models. - Designing data curation strategies such as deduplication, quality scoring, labeling, and augmentation that measurably improve model performance. - Creating tooling and infrastructure that lets researchers explore and train on massive datasets quickly and reliably.   REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring:   - Experience building data-intensive systems, ideally in support of machine learning training pipelines. - Strong engineering skills in distributed data processing at scale (e.g., Kubernetes, or custom pipelines over large datasets). - The capacity to autonomously evaluate how data quality, composition, and curation affect model outcomes, and to build the tooling to measure it.   Bonus: Experience building or operating web crawlers.   LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United States; Bulgaria; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Every model we train runs on infrastructure this role owns. We operate NVIDIA GPU clusters across bare metal and rented capacity, and we're looking for an engineer to join our small research infrastructure team and make that compute fast, reliable, and boring - in the best sense. When the clusters just work, research moves faster. Your impact is measured directly in training throughput and researcher velocity. This is a builder-operator role with real breadth: one week you're writing automation that eliminates a whole class of manual work, the next you're benchmarking a new provider's InfiniBand fabric or on-site bringing new hardware online. You'll have unusual scope and autonomy - we're a lean team where decisions are made by the people closest to the problem. WHAT YOU’LL BE DOING - Operate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades, capacity planning - Build automation that keeps the fleet healthy without human intervention — node health checks, automated draining and remediation, burn-in pipelines for new capacity - Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE) - Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast - Build and maintain high-performance storage for datasets and checkpoints - Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs — and fix the class of problem, not just the instance - Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs - Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors - Keep clusters secure by default: access control, network isolation, secrets REQUIREMENTS - Have run large-scale Linux server or GPU environments in production and enjoy both building and operating - Know the NVIDIA stack well — drivers, CUDA, NCCL, DCGM — or have deep systems experience and learn hardware stacks fast - Are comfortable with bare-metal environments, server hardware, and high-speed networking - Write solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform - Are happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong - Like owning real scope end to end and being the person others rely on - Don't consider any task above or beneath you — datacenter trips included NICE TO HAVE - Experience supporting ML training workloads from the infra side (distributed training failure modes, checkpointing patterns) - Experience evaluating and working with GPU cloud providers - Parallel filesystems (WEKA, VAST, etc) or large-scale object storage - BMC/IPMI/Redfish automation, PXE provisioning at scale - Power and cooling awareness for dense GPU deployments LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Kazakhstan; Armenia; Georgia Workplace: Remote 🌍 Remote | +8 UTC | Core collaboration hours: 12:00–6:00 PM Manila Time Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia’s fintech moment starts here. About the role: You’ll lead Card Technology projects from requirements to handover, coordinating business and technical teams, external vendors, and our local team. What you’ll do: - Lead Card Technology projects from first requirements to delivery, across business and technical teams. - Work with external vendors on integrations and testing, and resolve issues with them as they come up. - Stay in daily contact with the local team on operational and technical topics in a distributed setup. What you’ll own: - Own project scope, dependencies, and timelines across several parallel projects. - Run the requirements process: structure how business needs are gathered and turn them into clear inputs for technical teams. - Lead vendor work on integrations, test plans, and escalations through to resolution. - Surface risks early and agree how to handle them with business and technical teams. - Report project status to internal stakeholders and manage their expectations. - Hand projects over to operations and technical teams in a state they can run. What makes you a strong fit: - English level B2+ - 3+ years of experience as a Project Manager - Experience running several parallel projects, with strong scope and stakeholder management - Experience working with external vendors and handling escalations - Experience working with distributed teams - Proactive, and able to work independently What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have Proficiency in Python or TypeScript, with experience shipping working software end to end Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval Experience designing integrations with third-party APIs, data sources, and services The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role A track record of building reusable internal tools, templates, or self-service assets that other teams adopted Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks Experience building always-on or scheduled agentic systems that automate internal workflows Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information Front-end or product design skills that help demos feel polished and intuitive Experience supporting product launches or running launch-readiness programs A history of turning field feedback into concrete product input that influenced a roadmap A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Canada; Toronto, Ontario Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. This is not a plug-and-play role with a pre-written playbook. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents. By translating customer challenges into reusable platform capabilities, you will play a central role in establishing our FDE function from the ground up, defining what success looks like, and shaping the future of AI-first learning. 🛠️ THE DAY-TO-DAY - Build the Blueprint: Thrive in extreme ambiguity. You won't just follow operational rituals—you'll create them. You’ll define how our FDE team operates, set internal playbooks, and figure out the technical roadmap as you navigate uncharted territory alongside our clients. - Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration. - Architect Custom AI Agents: Design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub. - Drive Platform Evolution: Translate hands-on customer insights into foundational platform enhancements, turning bespoke client solutions into scalable features for our broader ecosystem. - Own the Product Lifecycle: Take full ownership from discovery and system architecture to production deployment, monitoring, and iterative optimization. - Build the Discipline: Shape the founding FDE team culture, operational rituals, and internal playbooks while defining our technical roadmap and cross-functional org design. 💪 YOUR SUPERPOWERS - Full-Stack Craftsmanship: 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products. - Agentic AI Expertise: Prior experience building, fine-tuning, or deploying agentic AI systems and LLM-powered applications in production environments. - Product-First Mindset: A strong customer-centric focus with the confidence and communication skills to engage directly with enterprise stakeholders. - Founder Mindset & Ambiguity Tolerance: You don't wait for clear specs or structured hand-offs. You are energized by undefined problems, comfortable making high-stakes decisions with partial information, and obsessed with taking complete ownership from zero to one. - Rapid Prototyping Agility: Proven ability to quickly build prototypes, experiment boldly, and iterate based on real-world usage and customer feedback. - Modern Tech Fluency: Proficiency in our core tech stack, including frontend (React, TypeScript) and backend development (Next.js, TypeScript). - Systems Architecture: Strong architectural background with solid experience navigating distributed systems, AWS, Kubernetes, and LLM providers. - Ecosystem Familiarity: Experience using modern engineering tooling like GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools. 💬 OUR INTERVIEW PROCESS - Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. - Step 2: A 60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity. - Step 3: A hands-on technical deep dive and architecture discussion with key stakeholders. - Step 4: A final conversation focused on culture fit, team dynamics, and cross-functional alignment. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote USA Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. This is not a plug-and-play role with a pre-written playbook. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents. By translating customer challenges into reusable platform capabilities, you will play a central role in establishing our FDE function from the ground up, defining what success looks like, and shaping the future of AI-first learning. 🛠️ THE DAY-TO-DAY - Build the Blueprint: Thrive in extreme ambiguity. You won't just follow operational rituals—you'll create them. You’ll define how our FDE team operates, set internal playbooks, and figure out the technical roadmap as you navigate uncharted territory alongside our clients. - Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration. - Architect Custom AI Agents: Design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub. - Drive Platform Evolution: Translate hands-on customer insights into foundational platform enhancements, turning bespoke client solutions into scalable features for our broader ecosystem. - Own the Product Lifecycle: Take full ownership from discovery and system architecture to production deployment, monitoring, and iterative optimization. - Build the Discipline: Shape the founding FDE team culture, operational rituals, and internal playbooks while defining our technical roadmap and cross-functional org design. 💪 YOUR SUPERPOWERS - Full-Stack Craftsmanship: 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products. - Agentic AI Expertise: Prior experience building, fine-tuning, or deploying agentic AI systems and LLM-powered applications in production environments. - Product-First Mindset: A strong customer-centric focus with the confidence and communication skills to engage directly with enterprise stakeholders. - Founder Mindset & Ambiguity Tolerance: You don't wait for clear specs or structured hand-offs. You are energized by undefined problems, comfortable making high-stakes decisions with partial information, and obsessed with taking complete ownership from zero to one. - Rapid Prototyping Agility: Proven ability to quickly build prototypes, experiment boldly, and iterate based on real-world usage and customer feedback. - Modern Tech Fluency: Proficiency in our core tech stack, including frontend (React, TypeScript) and backend development (Next.js, TypeScript). - Systems Architecture: Strong architectural background with solid experience navigating distributed systems, AWS, Kubernetes, and LLM providers. - Ecosystem Familiarity: Experience using modern engineering tooling like GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.