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Location: Canada Wide - Excluding Quebec; British Columbia Workplace: Hybrid ABOUT THE ROLE Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization. This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous improvement. You will work across generative AI, applied machine learning, retrieval, and agentic systems while establishing reusable architectures and engineering standards for complex production implementations. ABOUT THE TEAM AI Enablement helps Safe Software adopt AI effectively and responsibly. The team builds shared capabilities, platforms, and engineering standards while enabling departments to deliver AI solutions aligned with common security and governance practices. WHAT YOU'LL BE DOING - Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production, spanning data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement. - Architect and build agentic and multi-agent systems, including orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery. - Design and build enterprise knowledge and retrieval systems across structured and unstructured data, using data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval. - Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools. - Establish automated testing, evaluation, and observability practices covering task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression. - Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions. - Create reusable architectures, libraries, and engineering standards, and provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration. - Evaluate emerging Large Language Models, frameworks, and platforms and make evidence-based adoption recommendations. QUALIFICATIONS, SKILLS, AND COMPETENCIES WHAT WE'RE LOOKING FOR - 8+ years across software engineering and AI/ML, including 3+ years building and operating AI/ML systems in production at scale. - Strong software engineering skills, particularly in Python or comparable backend technologies. - Experience developing, adapting, fine-tuning, evaluating, deploying, and monitoring AI or machine learning models. - Applied AI experience in enterprise use cases such as chatbots, workflow automation, RAG, intelligent document processing, recommendation systems, or decision support. - Strong understanding of generative AI, LLMs, retrieval systems, agent-based architectures, and applied machine learning. - Experience with production data pipelines, APIs, model-serving infrastructure, testing, security, reliability, and observability. - Ability to explain complex technical decisions and tradeoffs to engineering teams and business stakeholders. NICE TO HAVE - Experience with agent and workflow orchestration tools such LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. - Experience with vector databases, semantic or hybrid search, embeddings, and reranking. - Experience with platforms such as Databricks, Snowflake, Amazon Bedrock, Microsoft Foundry/Azure AI, or equivalent. - Familiarity with MCP, A2A, self-hosted or open-weight models, and hybrid AI architectures. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab’s Enablement & AI organization helps revenue teams build the knowledge, skills, tools, and confidence they need to sell GitLab effectively and deliver better customer outcomes. The team partners across Sales, Customer Success, Solutions Architecture, Partnerships, Product, Marketing, and Operations to turn business priorities—including product launches, new GTM motions, and AI adoption—into scalable programs, practical content, training, onboarding, and accreditations. It’s a high-impact, cross-functional team focused on improving field productivity, strengthening customer-facing capabilities, and measuring enablement’s contribution to business growth. This role supports GitLabs Public Sector team and reports to the Vice President, Enablement & AI. Candidates located in the DC Metro preferred but not required. What You'll Do Develop and lead the successful execution of sales enablement programs to ensure internal and external Public Sector (PubSec) customers and partners are equipped with content, resources, tools and training to effectively differentiate and sell the GitLab solution across Federal, State, Local, and Education (SLED) markets. Partner with Public Sector field leadership to identify needs, build out plans, and tailor/deliver content, customized to the nuances of federal, state, local, and education buying environments and procurement cycles. Scope and build new enablement content, including programs focused on product knowledge, skill development, onboarding, leadership development, and many other areas, specifically for the Public Sector business. Collaborate with the enablement content and operations teams, along with other SMEs, to identify and develop core sales training and enablement curriculum customized for Public Sector, including compliance-specific content, for various internal and external audiences. Ensure alignment of sales enablement activities with key internal and external events, such as new product releases, campaigns, and essential industry trade shows and conferences relevant to the Public Sector community. Leverage Salesforce, Clari, Claude and other tools to deliver training to the Public Sector team and educate them on how to use specific tools in support of federal contracting and deal processes. Develop sales training job aids, supporting materials, and assessments to enhance field effectiveness across the Public Sector, including Deal Desk and compliance-related guidance. Measure and report on the effectiveness of sales enablement investments and the programs conducted, with attention to leading and lagging indicators tied to Public Sector business outcomes. Determine opportunities for improving the sales learning experience and identify innovative techniques for delivery within a Public Sector context. What You'll Bring Demonstrated progressive experience in a SaaS or software sales enablement role, preferably with expertise in DevOps and/or Open Source, with required experience supporting Public Sector, Federal, or SLED go-to-market teams in a government or regulated industry context. Working knowledge of Public Sector procurement, compliance, and contracting requirements (e.g., FedRAMP, DAP, air-gapped/on-prem deployment considerations, federal account routing). Ability to continuously meet due dates and execute on projects with positive impact from stakeholders. Experience building relationships with sales leaders and their teams within Public Sector or Federal organizations. Working knowledge of sales training technology and methodologies; demonstrable experience with sales enablement concepts, practices, and procedures. Relevant experience preparing, developing, and executing sales effectiveness strategies, tactics and action plans tailored to Public Sector buying cycles. Ability to quickly understand technical concepts and explain them to audiences of varying technical expertise (sales team, customers, channel partners, and internal support partners). Strong ability to interact and influence effectively with field sales professionals and management. Exceptional written/verbal communication and presentation skills. Team player with strong interpersonal skills, skilled at project and change management and cross-functional collaboration. Ability to thrive in a fast-paced, unpredictable environment. Ability to travel if needed for events such as team offsites or training. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,000 — $220,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Frontend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Product & Engineering Execution: Partner closely with cross-functional partners in product, design, and platform engineering to execute on product strategy and build novel, user-centric media features. Full-Lifecycle Development: Drive the complete development lifecycle—from technical design and architectural proposals to implementation, unit/integration testing, experimentation, performance analysis, and deployment. Quality & Velocity: Move fast while maintaining high quality standards through thorough code reviews, detailed design doc evaluations, and constructive feedback on product specs and UI mocks. Mentorship & Engineering Standards: Help establish developer workflows, champion best practices, and mentor junior and mid-level engineers to elevate technical excellence across the team. Who You Are Product-Minded Engineer: You bridge the gap between technical metrics and user experience, understanding how low-level optimizations impact real-world user engagement and product quality. Pragmatic Builder: You strike the right balance between rapid iteration and architectural rigor, delivering scalable solutions without getting bogged down by unnecessary processes. Effective Collaborator: You excel in communicating complex technical concepts clearly to both technical and non-technical stakeholders. Continuous Learner: You have a deep curiosity for emerging technologies and actively keep up with modern industry trends, standards, and performance optimizations. Technical Qualifications Frontend Expertise: Strong proficiency in modern web stacks, including JavaScript, TypeScript, React, and Next.js, with a proven track record of translating complex designs into responsive, production-grade applications. API & System Design: Demonstrated experience designing, building, and maintaining robust APIs using protocols such as REST, GraphQL, gRPC, HTTP, or Thrift basics. Education: Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Product & Engineering Execution: Partner closely with cross-functional partners in product, design, and platform engineering to execute on product strategy and build novel, user-centric media features. Full-Lifecycle Development: Drive the complete development lifecycle—from technical design and architectural proposals to implementation, unit/integration testing, experimentation, performance analysis, and deployment. Quality & Velocity: Move fast while maintaining high quality standards through thorough code reviews, detailed design doc evaluations, and constructive feedback on product specs and UI mocks. Mentorship & Engineering Standards: Help establish developer workflows, champion best practices, and mentor junior and mid-level engineers to elevate technical excellence across the team. Who You Are Product-Minded Engineer: You bridge the gap between technical metrics and user experience, understanding how low-level optimizations impact real-world user engagement and product quality. Pragmatic Builder: You strike the right balance between rapid iteration and architectural rigor, delivering scalable solutions without getting bogged down by unnecessary processes. Effective Collaborator: You excel in communicating complex technical concepts clearly to both technical and non-technical stakeholders. Continuous Learner: You have a deep curiosity for emerging technologies and actively keep up with modern industry trends, standards, and performance optimizations. Technical Qualifications Frontend Expertise: Strong proficiency in modern web stacks, including JavaScript, TypeScript, React, and Next.js, with a proven track record of translating complex designs into responsive, production-grade applications. API & System Design: Demonstrated experience designing, building, and maintaining robust APIs using protocols such as REST, GraphQL, gRPC, HTTP, or Thrift basics. Education: Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200 — $229,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Colombia We are looking for a Risk Data Scientist . We're launching a new business line in Colombia and looking for someone to become the first dedicated Data Scientist in our Risk team, building the function from the ground up as part of this launch. This is a rare opportunity to shape a function from scratch rather than optimize what someone else already built: you'll be working with a fast-growing dataset, designing the full lifecycle of ML models used in real credit decisions, and setting the technical foundation that the rest of the Risk data science function will be built on. Day-to-day responsibilities: Design, build, and own end-to-end machine learning models supporting risk decisions — from feature engineering and model development to deployment, monitoring, and retirement Build predicting models for adjacent functions (e.g., churn/attrition prediction on issued loans, reserve calculations) Establish and maintain a managed lifecycle for ML models in production — ensuring models remain stable and reliable as data volume grows Collaborate closely with Risk Analysts, Portfolio Managers, and Risk-tech strategy teams on model implementation The ideal candidate: 3+ years of hands-on, production-level Data Science experience Hands-on experience across the full ML model lifecycle: development, deployment, monitoring, and decommissioning Experience in banking or financial services strongly preferred, with an understanding of how risk decisions are embedded in financial products Strong foundation in ML algorithms, feature engineering, and model development Proficient in Python, SQL, Airflow, Git, BI / Streamlit Education: Mathematics, Physics, Computer Science, or a related STEM field from a top technical university Comfortable working independently and owning problems end-to-end B1 or higher English level for effective communication with an international team Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: San Francisco Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Customer Success team is integral to how we build, grow, and deliver value. We help customers adopt Attio quickly, integrate it smoothly, and unlock lasting impact. With technical fluency and deep empathy, we guide teams through complex use cases, share insights that shape the product, and turn great onboarding into long-term success. We’re looking for a Solutions Engineer who’s resourceful, committed, and deeply curious — and wants to help reinvent how millions of people work. WHAT YOU'LL DO - Become an expert in all areas of Attio’s product and how it’s deployed across industries and departments - Guide our highest-value customers through pre-sales, post-sales, and ongoing customer lifecycle stages as their main technical point of contact by - Architecting custom solutions spanning Attio’s data model, no-code workflow builder, API, reporting engine, and integrations with other GTM products - Leading demos, trainings, and technical solutioning sessions with customers on Zoom and occasionally in person - Consulting on general RevOps and GTM-tech best practices - Partner with Account Executives during the sales process to close our largest new business deals - Independently manage customer’s post-sale onboarding - Serving as the relationship owner for our top accounts - Internally, serve as a voice of and advocate for our customers across our product, engineering, and marketing teams, contributing your expertise in how our customers use Attio, and how Attio fits into the broader sales-tech ecosystem, to company strategy WHAT YOU'LL BRING - 2+ years B2B SaaS experience independently managing the technical side of customer relationships pre- or post-sale - Expertise architecting SaaS software deployments for clients across varied industries and use cases, and comfort working with APIs, no-code development platforms, and data model across a variety of SaaS products - Deep technical understanding of the B2B tech ecosystem, ideally in GTM Tech - Familiarity with fast-growing startups, and adaptability to work in a hybrid role that spans sales, onboarding, and success WHAT DOES THE HIRING PROCESS LOOK LIKE? 1. 30-minute introductory phone call with a member of our Talent team 2. 30-minute interview with our Head of Customer Success 3. 45-minute technical case interview 4. Two 30-minute interviews with relevant stakeholders and Mock Demo exercise 5. 30-minute closing conversation with a member of our Executive Leadership Team 6. Offer stage

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Autonomy Engineer focused on Spatial Intelligence to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments. WHAT YOU'LL DO - Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments - Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings. - Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integrating them for ultra-low latency performance on edge hardware - Bridge the gap between conceptual research and physical reality by implementing state-of-the-art 3D representations that track and interpret the environment state - Collaborate with cross-functional teams to bridge the gap between large-scale model training and reliable robot integration. - Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap. WHAT WE'RE LOOKING FOR - Exceptional software engineering skills with a proven track record of shipping complex ML systems into production. - Strong background in 3D scene understanding and the design of efficient spatial data structures. - Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures). - Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems. - High-impact individual contributor capable of taking projects from conceptual research to high-performance robot code. - Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. 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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX, or SF Bay Area or NYC About the role Cloudflare's Digital Marketing team is building a unified, signal-driven demand engine. It recognizes accounts at the web edge, acts on real-time intent, and turns anonymous traffic into high-velocity pipeline. That engine relies entirely on getting the right intent to the right place at the right time, and that handoff needs an owner. We're hiring a Senior Lead Management Specialist to reimagine new ways to get BDRs and AEs richer buyer intelligence, faster, in a repeatable and scalable way—moving beyond traditional lead routing into real-time, signal-driven journey orchestration. You will design a standard lifecycle and intelligence model that sales teams can trust, giving regional field teams the agility to run local campaigns while automatically equipping reps with the exact context needed to close deals faster. You'll bridge the gap between digital engagement and sales execution, working alongside the Engine team to leverage Cloudflare's internal orchestration platform (Cloudflare OS) to automate manual queue management, list uploads, and lead routing. You'll report directly to the Senior Director of Digital Marketing and serve as the operational partner to Field Marketing, Regional Sales Leaders, Sales Operations, and BizApps. You will be the single point of accountability for how leads are processed, enriched, routed, and governed across Cloudflare's revenue engine. The person we're looking for respects operational rigor and is energized to build high-velocity journey automation. If you can make sure no lead gets left behind today while building the signal-driven journey routing of tomorrow, we want to talk to you. What you'll do Architect & Run the Journey Operations Engine Own the end-to-end lead lifecycle, routing algorithms, and queue architecture, ensuring 100% of qualified leads and intent signals are processed without delay or data drop. Monitor lead-flow integrity continuously across platforms (Marketo, Salesforce, LeanData), writing automated health checks, error logging, and alert triggers to resolve bottlenecks before they impact sales. Refactor legacy batch campaign operations into automated, real-time, event-driven routing logic. Drive Automation via Cloudflare OS Treat operational tech debt as bugs to be resolved through code, API integrations, webhooks, or programmatic rules engine builds. Design extensible routing frameworks that give regional field marketing teams the agility to run local campaigns while maintaining strict global system standards. Own Governance, Lifecycle Logic & Data Architecture Own the lead scoring, account-to-lead matching, lifecycle states, and routing logic as a version-controlled source of truth. Partner with Data Engineering and BI teams to optimize schema, identity resolution at the web edge, and account telemetry hygiene across the MarTech stack. Define and govern logic change controls, API integration standards, and SLA tracking across marketing and sales systems. Empower Sales Front Lines & Partner Cross-Functionally Automate the delivery of buyer intent telemetry (e.g., intent topics, event participation) directly into sales-facing views to accelerate sales outreach. Serve as the senior systems counterpart to Field Marketing leaders, Sales Development (BDR/SDR), Sales Operations, and BizApps to streamline GTM handoffs. Establish a continuous feedback loop with Sales to measure lead quality, velocity, and stage conversion performance. First-Year Outcomes Zero Lead Leakage & Sub-15 Minute Routing: Eliminate dropped, stuck, or misrouted leads across regional queues, ensuring 100% of qualified leads and intent signals reach the correct rep within 15 minutes. Context-Rich Handoffs for Reps: Automate the delivery of buyer intent telemetry to increase initial sales engagement and conversion rates. Rapid Campaign Processing & SLA Enforcement: Achieve a 24-hour processing standard for all regional events, webinars, and field campaign lists through Cloudflare OS automation workflows. Transparent Account Journey Visibility: Deploy clear, self-serve account-level engagement tracking within Salesforce so sales teams can identify active, high-intent target accounts prior to formal form fills. Shorter Sales Cycles & Increased Pipeline Velocity: Measurably reduce conversion timelines through automated lead prioritization and streamlined handoff workflows. Skills, Knowledge, and Experience 7–10 years of experience bridging B2B marketing operations with systems engineering, revenue operations, or MarTech architecture. Deep mastery of enterprise MarTech and CRM platforms—specifically Marketo, Salesforce, and advanced lead routing engines (e.g., LeanData) . Strong engineering aptitude with practical experience using APIs (REST/SOAP), Webhooks, SQL, or scripting (Python, JavaScript, or Bash) to interface with platforms and automate data flows. Demonstrated ability to design state logic, lifecycle state transitions, and complex routing architectures with software-level change management discipline. Proven track record of automating manual MOPs workflows (list imports, campaign provisioning, enrichment) through workflow engines or custom scripts. Strong command of data governance, SLA monitoring, data layer schema, and account-to-lead matching models. Experience partnering directly with Field Marketing, BDR/SDR managers, Sales Ops, BizApps, and Data Engineering teams. A systems-thinking mindset—you view marketing operations as an engine of connected microservices and default to automating the repeatable. Bonus Points Experience building on internal orchestration platforms, worker nodes (e.g., Cloudflare Workers), or IPaaS environments. Exposure to server-side tracking, edge technologies (e.g., Zaraz), CDPs, and account-based intent platforms (Demandbase, 6sense). Working knowledge of global compliance frameworks (GDPR, CCPA) implemented programmatically across data pipelines. Compensation Compensation may be adjusted depending on work location. For San Francisco Bay Area based hires: Estimated annual salary of $138,000 - $190,000. For New York City based hires: Estimated annual salary of $132,000 - $182,000. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Leads employee compensation programs to ensure pay practices are competitive, equitable , and aligned with organizationa l objectives . Owns salary structure, job classification standards, financial modeling, and end-to-end administration of merit and bonus cycles. Develops compensation policy and partners with senior HR and Finance leadership on compensation decisions. Sets reporting standards, designs training, and leads process improvement across the function. Leads participation in external compensation surveys, resolves job matching discrepancies, and recommends competitive positioning strategy across pay levels. Owns the company's salary structure, determining changes to pay grades and range spread/midpoints and presenting them for approval. Reviews and approves job classifications, resolves escalated classification decisions, and establishes classification standards for the team. Oversees the integrity of job and pay records within the HRIS and establishes audit protocols to prevent errors, duplicates, and classification inconsistencies. Analyzes compensation data across the organization to identify systemic pay equity or compression issues and recommends corrective action plans. Reviews and resolves escalated compensation requests and establishes guidelines for how requests are evaluated. Owns the financial models used to project the cost of merit, market, and promotional guidelines, and presents recommendations directly to senior HR and Finance leadership. Leads the merit and bonus planning cycle end-to-end, designs manager guidelines and audit protocols, and resolves discrepancies between planned and actual compensation expenditure with Finance. Defines the compensation reporting standards used across the function and presents analyses directly to senior leadership. Develops and owns compensation policies, procedures, and program guidelines, and determines the policy response to new federal and state compensation regulations. Designs the training curriculum on compensation cycles and pay administration and delivers sessions to senior HR and business stakeholders. Leads process improvement initiatives across compensation workflows, standardizing and automating job pricing, merit cycle, and reporting processes. Requirements: Bachelor's degree in Human Resources , Business Administration, Finance, Economics, or a related field; or an equivalent combination of education and experience. Progressive experience in compensation analysis, salary administration, job analysis/evaluation, and market pricing, including experience presenting to senior leadership. Experience with human capital management system, compensation management system, spreadsheet software with advanced functions (e.g., nested lookup functions and pivot tables), market pricing data aggregation software, and business intelligence or reporting tools. Certified Compensation Professional (CCP) designation preferred. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $117,000 — $180,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Munich, Germany 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 As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Public Sector A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Leads employee compensation programs to ensure pay practices are competitive, equitable , and aligned with organizationa l objectives . Owns salary structure, job classification standards, financial modeling, and end-to-end administration of merit and bonus cycles. Develops compensation policy and partners with senior HR and Finance leadership on compensation decisions. Sets reporting standards, designs training, and leads process improvement across the function. Leads participation in external compensation surveys, resolves job matching discrepancies, and recommends competitive positioning strategy across pay levels. Owns the company's salary structure, determining changes to pay grades and range spread/midpoints and presenting them for approval. Reviews and approves job classifications, resolves escalated classification decisions, and establishes classification standards for the team. Oversees the integrity of job and pay records within the HRIS and establishes audit protocols to prevent errors, duplicates, and classification inconsistencies. Analyzes compensation data across the organization to identify systemic pay equity or compression issues and recommends corrective action plans. Reviews and resolves escalated compensation requests and establishes guidelines for how requests are evaluated. Owns the financial models used to project the cost of merit, market, and promotional guidelines, and presents recommendations directly to senior HR and Finance leadership. Leads the merit and bonus planning cycle end-to-end, designs manager guidelines and audit protocols, and resolves discrepancies between planned and actual compensation expenditure with Finance. Defines the compensation reporting standards used across the function and presents analyses directly to senior leadership. Develops and owns compensation policies, procedures, and program guidelines, and determines the policy response to new federal and state compensation regulations. Designs the training curriculum on compensation cycles and pay administration and delivers sessions to senior HR and business stakeholders. Leads process improvement initiatives across compensation workflows, standardizing and automating job pricing, merit cycle, and reporting processes. Requirements: Bachelor's degree in Human Resources , Business Administration, Finance, Economics, or a related field; or an equivalent combination of education and experience. Progressive experience in compensation analysis, salary administration, job analysis/evaluation, and market pricing, including experience presenting to senior leadership. Experience with human capital management system, compensation management system, spreadsheet software with advanced functions (e.g., nested lookup functions and pivot tables), market pricing data aggregation software, and business intelligence or reporting tools. Certified Compensation Professional (CCP) designation preferred. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Munich, Germany 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 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 As an Applied AI Architect on the Partnerships team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: New York, New York Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Partnership Proposals Lead at Via, you'll craft persuasive, exceptionally-written proposals that forge new partnerships with cities, transit agencies, and other public transit providers. Working with members of Via’s Strategy and executive leadership teams, you will develop a deep understanding of our customers' needs and goals, become an expert in Via’s unique positioning as a technology partner, and own high-quality written proposals for transformative mobility services. Partnership Proposals Leads gain wide-ranging experience in Via's products and services; no specific experience in technology or public transit services is required. What You'll Do: Hone your strategic thinking skills by coordinating with Via’s Partnerships, Expansion, and Finance teams to develop strategies for winning high-stakes, competitive procurements. Become an expert in Via’s technology and product offerings, absorbing complex, sometimes technical specifications and distilling information into clear, easily-digestible prose for both internal and external audiences. Write, review, and copy-edit comprehensive long-form narrative proposals for potential partners. Generate compelling original content by ascertaining an audience’s needs and deploying your familiarity with Via’s technology and operational capabilities, transit norms, and the latest innovations from across the industry. Lead competitive procurements from beginning to end -- through evaluation, creation of exceptional proposal content, review, and submission. Conduct rigorous research by analyzing news stories, new service announcements, scopes of work, city histories, and other forms of information and synthesizing findings into insightful commentary. Skillfully manage communications with potential partners over the phone and email. Support senior team members during interviews and launches with cities and transit agencies. Who You Are: You’re meticulous and thoughtful. You can pay attention to every detail in a complex project while, at the same time, relating each of them to the big picture in a coherent way. You can see the forest and the trees. You have a minimum of 4 years of experience with a record of achievement in roles that require extensive and impeccable written communication. This could take many forms: graduate theses and dissertations, business proposals, policy memos, creative non-fiction, or journalism, to name a few. If you've won awards for your writing, that's a plus! You’re passionate about having an impact and are excited about advancing Via's mission to build more efficient, sustainable, and equitable transit systems. You’re excited about urban studies, environmental studies, accessibility, equity, and public governance. You have exceptional judgment and strategic intuition. You know when to push and when to compromise when crafting a persuasive narrative. You’re a collaborative, on-task project manager. You keep things moving through strong, clear communication and can manage multiple stakeholders across a single project. You're a reliable, motivated self-starter. You enjoy fast-paced environments, aren’t deterred by setbacks or pivots, and thrive in roles requiring a very high degree of responsibility. You’re data-savvy and believe in evidence-based arguments. You excel at crafting compelling narratives using a wide range of quantitative and qualitative metrics. You’re an academic high-achiever, preferably in the humanities or social sciences where you practiced qualitative analysis and long-form writing (undergraduate degree required; advanced degree preferred). What We Offer: All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data Salary Range: $115,000-$160,000 Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of world-class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. - Genuine interest in Financial Services and improving the end customer experience. Experience in financial technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (fair lending, PII handling, etc.) are a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is looking for an enthusiastic Senior Embedded Engineer to join our Software Organization as part of the Embedded Engineering team. You will work with Hardware, Signal Processing, Manufacturing and Product teams to develop and deliver against Hardware and Software roadmaps. The Embedded team’s mission is to build and deploy stable, accurate, and power efficient firmware platforms for all our in house developed devices via a seamless 24/7 connection and interaction between our mobile apps. At Whoop, the Embedded team is at the intersection of the Hardware and Software domains, bridging the gap between the physical and the digital world. As a Senior Embedded Engineer you will collaborate with a diverse group of the industry’s best and brightest engineers in supporting current products, as well as developing new cutting edge products that help our members achieve their health and fitness goals with industry leading monitoring and data analysis. RESPONSIBILITIES: - Develop and test firmware in C for WHOOP’s product line, including features optimized for low-power performance. - Take ownership of complex firmware features and ensure they meet performance, power, and reliability goals. - Debug and resolve challenging issues across software, hardware, manufacturing, and system integration. - Define, write, and maintain clear technical requirements and documentation. - Participate in code reviews to ensure clarity, correctness, and adherence to coding standards. - Design and improve firmware self-tests, validation tools, CI workflows, and internal development tools. - Support electrical development by evaluating components, bringing up drivers, and contributing to hardware design discussions. - Leverage AI as a development tool and share learnings with the team. - Collaborate with Electrical, Signal Processing, Mobile, and Manufacturing teams to validate designs and refine interfaces. - Mentor teammates by providing guidance on design, implementation, and debugging. - Identify opportunities to improve performance, power efficiency, stability, and reliability across the firmware platform. QUALIFICATIONS: - Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or a related field. - 5+ years of embedded firmware development experience. - Excellent problem-solving and analytical skills, with the ability to resolve ambiguous issues independently. - Excellent interpersonal, written, and verbal communication skills, with experience mentoring and collaborating across teams. - Strong experience with electronics debugging tools such as oscilloscopes, multimeters, power supplies, and logic analyzers. - Proficient with device driver development and 32-bit RISC architectures such as ARM Cortex. - Proficient in C/C++ programming. - Strong understanding of electrical engineering fundamentals, with proficiency in reading schematics and hardware specifications. - Experience working with operating systems (OS) and real-time operating systems (RTOS). - Strong understanding of system communication protocols such as I2C, SPI, USART/UART, and BLE. - Experience with version control using git and modern CI/CD workflows. - Experience with unit, integration, and functional testing for embedded systems. - Experience with Agile software development practices. - Experience working on high-volume consumer electronics products preferred. - Willingness to act as both a team player and a technical leader. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. Also check out our AI studio blog here. https://engineering.prod.whoop.com/ai-studio/   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

About the Role We are looking for a smart, technically curious, and customer-focused Smart Office Support Engineer to help maintain and support our modern workplace technologies. This role combines traditional IT support with smart office systems, including access control, video conferencing, and security technologies. You do not need a long list of certifications or years of experience. We value intelligence, problem-solving ability, willingness to learn, and excellent customer service skills above all else. Responsibilities: End-User IT Support · Provision, configure, and deploy laptops and workstations for employees. · Support users with hardware, software, and connectivity issues. · Install and maintain operating systems, applications, and security updates. · Troubleshoot Microsoft Windows and productivity tools. · Provide onsite and remote support to employees. Smart Office Systems · Support and troubleshoot CCTV, Face Recognition and Access Control systems, Video Conferencing solutions · Routine morning systems checkup · Coordinate with vendors, service providers, our own expert team when necessary. Documentation · Maintain accurate documentation of systems, procedures, and support activities Required Skills & Qualities · Genuine interest in technology and learning new systems. · Good communication skills and professional customer service attitude. · Ability to explain technical concepts to non-technical users. · English proficiency, Russian- and Greek- abilities would be nice · Driving license and own car for extra mobility when needed Technical Requirements Experience with some of the following is desirable: · Microsoft Windows administration. · Active Directory user management. · Laptop and desktop hardware support. · Basic networking concepts (IP addressing, DNS, DHCP, Wi-Fi). · Video conferencing platforms and meeting room systems. · Access control, Face ID, or CCTV systems. · Mobile device support. Nice to Have · Ability to diagnose issues methodically rather than relying solely on documentation. · Experience supporting users in a corporate environment. · Exposure to enterprise IT systems. · Experience with ticketing systems. · Knowledge of cybersecurity best practices. We offer · Competitive salary · Professional and international working environment · Opportunity for professional growth and development · Best office in Paphos · 21 days of paid annual leave · 40 working hours of paid sick leave per year · Public holidays in accordance with the Cyprus Public Holiday calendar

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: We are looking for experienced backend engineers to join our team which mainly develops the distributed aspects of the Neo4j database. Building on our fast and open source native graph database, our team delivers critical enterprise features such as high availability, distributed consistency, horizontal scalability and deployment flexibility. We’re particularly excited to hear from people who have developed and maintained complex distributed systems before; who have experienced some of their pain points and design trade-offs first hand. Your contributions will be deployed in production environments around the world, vital to the varied and demanding use cases of our customers. What the work is like: The day-to-day work is quite wide-reaching in the database stack, from low-level (efficient IO systems where every flush and allocation counts) to high (distributed control planes where predictability and stability are vital). The work involves building features end to end - from the core database itself to running and maintaining them in our live managed service Aura. Apart from  features, you’ll also work with support engineers to track down tough bugs, SREs to support our database as a service offering, and with product managers and other teams to design new features. You’ll also spend time learning, thinking and experimenting. Specializing in topics that interest you and helping to grow yourself, the team and the product. What you'll bring: Ability to work independently within a flexible software development organization Ability to communicate about, and collaborate on, complex topics. Experience of distributed systems through usage, administration or development. Desire to learn modern and high performance Java programming (or prior knowledge). Desire to learn Kubernetes and building operators. Desire to work as part of a geographically distributed team. Nice to have: Experience building stateful distributed systems (such as databases, message brokers or stream processing systems) Experience working with distributed orchestration systems, such as Kubernetes. Experience of distributed systems through usage, administration or development. Existing knowledge of Java programming, the Java ecosystem or JVM internals. Experience with working on large code bases. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.