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Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. WHAT YOU’LL DO - Own the strategy, architecture, and operation of our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows, setting direction and ensuring reliability and scalability. - Architect the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Design, build, and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, scaling them across teams and use cases. - Lead the development and evolution of our Developer Infrastructure (Source Control and CI) and the developer tools that improve builder flow and reduce friction across the company. - Partner closely with stakeholders across Engineering, Product, Sales, and G&A to identify high-impact opportunities where AI can accelerate work and improve outcomes. - Define best practices for agents and agentic tooling, build the enablement materials and paved roads behind them, and proactively drive adoption across the organization. - Establish and drive measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks, inform prioritization, and shape the roadmap. - Lead our work as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, own the feedback loop with product leadership, and drive our contribution to an open-source reference architecture that customer platform teams can adopt. - Mentor and support engineers on the team, raising the bar on technical design, execution, and use of agents and agentic tooling. - Participate in on-call rotation, while identifying and driving improvements that reduce operational burden and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of leading the design, delivery, and operation of production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining best practices and driving adoption across teams. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with the ability to make pragmatic, high-leverage technical decisions. - Experience architecting and scaling workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar) used across teams or the organization. - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability, security, or long-term maintainability. - Comfort leading cross-functional collaboration, including partnering with non-traditional developers and translating ambiguous needs into scalable, well-adopted solutions. - Ability to use data and qualitative feedback together to define success metrics, prioritize effectively, and measure impact. - Clear written communication, including documentation that enables self-service and scales knowledge across teams. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and an open-source frameworks our customers can adopt. WHAT YOU’LL DO - Develop and operate our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows. - Establish and operate the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Build and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, with humans governing the boundaries. - Own our Developer Infrastructure (Source Control and CI) and build the developer tools that improve builder flow and reduce friction across the company. - Partner with teams across Engineering, Product, Sales, and G&A to understand where AI could accelerate their work or improve the quality of outcomes. - Drive adoption of agents and agentic tooling across the company, and own the best practices and enablement materials that help builders succeed using the paved roads. - Build measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks and guide the roadmap. - Treat Temporal as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, and contribute to an open-source reference architecture that customer platform teams can adopt. - Participate in on-call to support internal users. WHAT YOU’LL BRING - Strong software engineering fundamentals and experience shipping and operating production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java. - Experience building workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar). - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability. - Comfort working cross-functionally, including partnering with non-traditional developers and translating needs into usable solutions. - Ability to use data and qualitative feedback together to prioritize and measure impact. - Clear written communication, including documentation that enables self-service. NICE TO HAVES - Experience building internal agents and operating an agent platform - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

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 . Reddit brings people together around their interests, questions, and experiences. Our communities generate a rich and complex ecosystem of human activity, creating scientific challenges in understanding behavior, measuring impact, and anticipating change. The Data Science Platform team builds the tools that enable a scientific understanding of Reddit. We develop Reddit’s analytics agent, and the shared scientific capabilities and methods that allow data scientists and business partners to answer increasingly sophisticated questions. We are looking for a senior technical lead who combines deep expertise in statistics, machine learning and causal inference with strong software engineering ability. You will establish the scientific direction for agentic analytics, causal inference, and forecasting, turning advances in research into reliable software used across the company. As an Applied Scientist on the Science Platform team, you will work across the full development cycle: identifying important problems, evaluating research, implementing and validating methods, and shipping capabilities that others can use confidently. You will partner closely with software engineers and data scientists to build an analytics agent that can investigate questions, select appropriate methods, execute analyses, and communicate findings with clear assumptions and uncertainty. Responsibilities: Define the scientific roadmap for Data Science Platform across agentic analytics, causal inference and forecasting, identifying opportunities where advances in methodology can improve decision-making at scale across Reddit. Research, evaluate, and implement emerging methods. Move quickly from research papers to working prototypes, validate their practical value, and develop successful approaches into maintained production capabilities. Design and build our analytics agent’s architecture and capabilities, including how the agent decomposes questions, selects scientific methods, uses data and analytical tools, checks assumptions, and produces reproducible results. Build reusable causal inference tools that help teams estimate the effects of product changes, policies, and business decisions using observational data. Develop shared forecasting capabilities for business and product metrics, including probabilistic predictions, hierarchical forecasts, and scenario analysis. Create evaluation frameworks that measure the correctness and usefulness of agent-generated analyses. Build benchmarks, simulations, and automated checks that detect methodological errors, unsupported claims, and misleading interpretations. Own the implementation of scientific methods in production software, writing robust Python code and partnering with engineers on libraries, APIs, data pipelines, observability, and system design. Work with data scientists and business partners to identify recurring analytical needs and translate them into accessible platform capabilities, documentation, and workflows. Influence technical and organizational strategy through clear scientific recommendations, mentor scientists and engineers, and share methodological advances internally and externally where appropriate. Required Qualifications: A doctorate in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related discipline; alternatively, a master’s degree supported by comparable depth of expertise. At least eight years of relevant industry work following a doctorate, or ten years with a master’s degree, in applied science, data science, scientific software development, or related roles. Deep knowledge of statistical inference and econometrics, with practical experience developing causal methods for observational data and evaluating the assumptions that make their conclusions credible. Experience developing and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and assessment of performance as underlying conditions change. Strong software engineering skills, including substantial experience writing and maintaining production Python software. Familiarity with API design, automated testing, code review, version control, and operational monitoring. A demonstrated ability to critically assess scientific literature, reproduce relevant findings, and turn promising methods into reliable software that solves practical problems. Experience developing LLM applications or analytical agents, including tool use, code execution, and systematic evaluation of their outputs. Clear communication of statistical assumptions, uncertainty, and technical tradeoffs to business audiences. Experience developing other technical contributors through mentorship, design reviews, and collaboration across organizational boundaries. The ability to make progress on ambiguous problems, prioritize consequential work, and deliver useful capabilities through rapid iteration. Preferred Qualifications: Publications, open-source contributions, or widely adopted internal tools in agentic analytics, causal inference, forecasting, or other related fields. Experience building scientific libraries or platforms used by other data scientists, including interfaces that make sophisticated methods accessible to people with different levels of statistical expertise. Experience building agents at scale that perform substantive analytical work, including retrieval of relevant data and context, selection of methods, execution of Python or SQL, and validation of findings. Benefits: 100% remote opportunity (we have four office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) 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-AJ1 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: $232,500 — $325,500 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: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role You will design, build and own the production systems behind Xero’s AI features: the services, pipelines and infrastructure that power LLM-driven and agentic experiences for millions of small businesses every day. This is a software engineering role. You’ll build and operate systems rather than train or tune models, and your architecture decisions will directly shape scale, cost, reliability and how fast our teams ship. You don’t need a machine learning background. We’re looking for strong production engineers, ideally with experience building LLM or agentic systems, and ML depth can be learned on the team. Beyond architecture, you’ll lift engineering capability across AI Products by setting standards, mentoring engineers and partnering across Xero to make data usable and systems dependable.   The team You’ll join AI Products, a diverse, globally distributed team of scientists, engineers, product managers and analysts within our broader Data & AI business. Engineers here partner closely with Applied Scientists early on to build the interfaces and harnesses that take models into production. They then own the engineering and infrastructure of every ML and AI system shipped into production, from reliability and cost to scale. Together, this collaborative team reduces toil and delivers reliable, intelligent experiences for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.   Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - A track record of designing, shipping and operating production-grade backend systems at scale - Experience building and operating production systems for LLM or agentic workloads (orchestration, tool use, evaluation, guardrails, latency and cost management) - Strong system design fundamentals and excellent coding in Python, or another language suited to web-scale services (Go, Java, Kotlin, TypeScript) - Experience with APIs and service design, cloud infrastructure (ideally AWS), CI/CD and observability, with a focus on latency, cost, reliability and SLOs - Experience running services in production, including on-call and incident response - Solid SQL and experience with large-scale data processing - Excellent communication, with the ability to explain complex technical concepts to business and technical audiences - A coaching mindset and the ability to set engineering standards and mentor other engineers Nice to have - Experience operationalizing ML or LLM workloads (inference serving, evaluation pipelines) - Familiarity with MLflow, PyTorch or TensorFlow, and data orchestration tools - Distributed processing experience (Spark, Dask)   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role You will design, build and own the production systems behind Xero’s AI features: the services, pipelines and infrastructure that power LLM-driven and agentic experiences for millions of small businesses every day. This is a software engineering role. You’ll build and operate systems rather than train or tune models, and your architecture decisions will directly shape scale, cost, reliability and how fast our teams ship. You don’t need a machine learning background. We’re looking for strong production engineers, ideally with experience building LLM or agentic systems, and ML depth can be learned on the team. Beyond architecture, you’ll lift engineering capability across AI Products by setting standards, mentoring engineers and partnering across Xero to make data usable and systems dependable.   The team You’ll join AI Products, a diverse, globally distributed team of scientists, engineers, product managers and analysts within our broader Data & AI business. Engineers here partner closely with Applied Scientists early on to build the interfaces and harnesses that take models into production. They then own the engineering and infrastructure of every ML and AI system shipped into production, from reliability and cost to scale. Together, this collaborative team reduces toil and delivers reliable, intelligent experiences for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.   Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - A track record of designing, shipping and operating production-grade backend systems at scale - Experience building and operating production systems for LLM or agentic workloads (orchestration, tool use, evaluation, guardrails, latency and cost management) - Strong system design fundamentals and excellent coding in Python, or another language suited to web-scale services (Go, Java, Kotlin, TypeScript) - Experience with APIs and service design, cloud infrastructure (ideally AWS), CI/CD and observability, with a focus on latency, cost, reliability and SLOs - Experience running services in production, including on-call and incident response - Solid SQL and experience with large-scale data processing - Excellent communication, with the ability to explain complex technical concepts to business and technical audiences - A coaching mindset and the ability to set engineering standards and mentor other engineers Nice to have - Experience operationalizing ML or LLM workloads (inference serving, evaluation pipelines) - Familiarity with MLflow, PyTorch or TensorFlow, and data orchestration tools - Distributed processing experience (Spark, Dask)   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Thessaloniki, Greece As a Software Engineer at Alumil , you will join the Digital Customer Solutions team, helping to support and improve the software tools we provide to our clients. You'll be involved in maintaining current applications, fixing bugs, and gradually working on new development projects under the guidance of more experienced team members. You’ll collaborate closely with other engineers and departments, learn how to understand user needs, and help turn those needs into working software solutions. Also, you will work closely with cross-functional teams to deliver high-quality software that meets user needs and exceeds expectations. You will play a critical role in designing, developing, and maintaining software solutions that enhance our operational efficiency. Let's take a closer look into your daily tasks: Craft, test, and uphold cutting-edge software applications and systems Work alongside product and project teams to gather insights and define software requirements Identify and troubleshoot software defects and challenges Adopt and promote best practices in coding and documentation Engage in discussions regarding system architecture and design Create software solutions tailored to the needs of our parent company and its subsidiaries Compile deliverables along with user instructions Conduct thorough testing to ensure application accuracy Your impact Your contributions will support the quality and performance of Alumil’s digital products. As you grow in your role, you’ll help us offer better technology solutions to our clients and the wider engineering industry. This is a great opportunity to build your skills, work in a supportive team, and be part of a company that values innovation and continuous learning. ▶️ Are you passionate about developing applications from concept to completion to improve business services and enhance the way your colleagues and clients work? If so, you're in the right place! Requirements A degree in Information Technology, Computer Science, or a related field Previous experience in developing applications using Angular and Node.js Understanding of web services (e.g., JSON, XML, REST) Professional experience with databases (e.g., MySQL, SQL Server, Oracle) Team player with effective communication skills Flexibility, critical thinking and problem-solving Good knowledge of English Benefits Provision of private life & health insurance Annual performance bonus Work equipment & tools Annual customized training plan Hybrid working model About us At ALUMIL we are building excellence every day. Alumil has more than 30 years of experience in the production of architectural aluminium systems and 3.000 employees. We are one of the most advanced companies globally owning state-of-the art production lines in our 12 factories in Europe. Alumil, is a family-owned business that also embraces all of its employees like family. Our culture’s primary focus is on integrity, team spirit, initiative, loyalty and “meraki” (spirited work). ALUMIL opposes any form of discrimination, unequal behaviour or treatment, and any violation of human rights, and is committed to ensuring equal opportunities in employment. In the recruitment and evaluation of employees, it does not discriminate on the grounds of race, sex, gender identity or gender expression, religion, age, disability, sexual orientation, nationality, political beliefs, social or national origin, or descent. ALUMIL complies with the statutory provisions strengthening the application of the principle of equal pay for men and women for equal work or work of equal value (Law 5316/2026). The selection process is gender-neutral, and recruitment procedures are conducted in a non-discriminatory manner. Candidates are assessed solely on the basis of objective, job-related criteria. Every candidate has the right to be informed, in writing or orally, of the pay range for the position prior to the job interview. The pay range has been determined on the basis of objective, gender-neutral criteria, free of any other form of discrimination, in accordance with the company’s pay structure.

Location: San Francisco, United States; United States This is a unique opportunity to build an AI infrastructure business within an established international company. We are looking for an entrepreneurial leader who understands the GPU compute ecosystem and can turn infrastructure investments into a scalable, revenue-generating business. You will take ownership of three core areas: GPU Procurement & Strategic Partnerships AI Infrastructure Development & Deployment AI Compute Sales & Commercialization You will work closely with company leadership to develop the business strategy, establish strategic partnerships, identify investment opportunities, and execute the roadmap. This is a hands-on leadership role requiring a combination of commercial expertise, infrastructure knowledge, and strong execution capabilities. We are not looking for someone who simply manages existing operations. We need someone who can build the business. Responsibilities 1. GPU Procurement & Strategic Partnerships Develop and execute GPU procurement strategies. Establish relationships with NVIDIA, OEMs, distributors, and GPU hardware suppliers. Identify opportunities in both new and secondary GPU markets. Negotiate hardware supply agreements, pricing, delivery terms, and strategic partnerships. Evaluate GPU availability, pricing dynamics, hardware lifecycle, and investment opportunities. Build a reliable network of hardware and infrastructure partners. 2. AI Infrastructure Development Lead the planning and deployment of GPU computing infrastructure. Identify and evaluate data center locations, colocation providers, and infrastructure partners. Coordinate infrastructure requirements, including power, cooling, networking, and operational capacity. Develop scalable infrastructure deployment models. Oversee project execution in collaboration with technical and operational teams. Optimize infrastructure economics, deployment timelines, and operational efficiency. 3. AI Compute Sales & Commercialization Develop the commercial strategy for GPU compute capacity. Identify customers requiring AI inference, GPU cloud, and high-performance computing services. Build relationships with AI startups, enterprises, cloud providers, and infrastructure companies. Negotiate short-term and long-term compute capacity agreements. Develop pricing strategies and commercial partnership models. Drive customer acquisition, revenue growth, and infrastructure utilization. 4. Business Strategy & Ownership Develop the AI compute business strategy and execution roadmap. Build financial models and evaluate investment opportunities. Own business unit economics, CAPEX, OPEX, and commercial performance. Collaborate with leadership on financing and capital allocation. Establish operational and commercial KPIs. Build and lead a team as the business scales. Take full accountability for business results and profitability. Requirements 2+ years of experience in AI infrastructure, GPU cloud, data centers, cloud computing, or related industries. Proven track record of launching, building, or scaling infrastructure-driven businesses. Strong understanding of GPU computing, AI infrastructure economics, and the broader AI ecosystem. Demonstrated experience in at least two of the following areas: GPU procurement and strategic hardware partnerships. AI infrastructure development and deployment. GPU compute sales and commercialization. Strong business development and negotiation skills. Experience managing complex commercial agreements and strategic partnerships. Solid understanding of financial modeling, CAPEX, OPEX, ROI, and unit economics. Entrepreneurial mindset with a strong bias toward execution. Ability to operate independently and make decisions in a fast-moving environment. Fluent English Nice to Have Established relationships with NVIDIA, OEMs, GPU distributors, or major hardware suppliers. Experience at GPU cloud providers, neocloud companies, or AI infrastructure startups. Background in GPU-as-a-Service (GPUaaS), AI inference, or compute marketplaces. Experience with high-density data centers, Bitcoin mining, or energy-intensive infrastructure. Experience negotiating long-term compute capacity contracts. Previous experience as a founder, General Manager, or business unit leader. Strong professional network in the San Francisco Bay Area. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: France; Slovakia; Estonia; Latvia; Slovenia; Czechia 🧭 About RealAdvisor RealAdvisor is one of the leading digital platforms in the European real estate ecosystem. Founded in Switzerland, we now support 7,000+ real estate agencies and attract 10+ million users per year across Europe. We are scaling fast across multiple markets with a clear mission: help real estate professionals grow through data, transparency and smart technology. At RealAdvisor, we value ownership, autonomy and impact. Role Overview We are looking for a business‑oriented Data Scientist to join RealAdvisor. You will consolidate and analyze diverse data sources (product, marketing, transactional), build ML models and experiments to drive subscription growth, and translate insights into concrete product and marketing actions. This is a hands‑on, full‑stack role: you will query databases, run experiments, build models, and present clear data stories to stakeholders. Requirements Key responsibilities Consolidate and aggregate data from product, marketing, CRM, and transactional systems into reliable datasets. Perform product analytics to measure feature usage, user journeys, and retention drivers. Design and run experiments (A/B tests, cohort analysis, population and variation control) to validate hypotheses and measure causal impact. Build ML models for revenue optimization, churn prediction, segmentation, and subscription forecasting. Analyze marketing performance to measure acquisition efficiency, LTV, and campaign ROI. Translate analysis into action: propose product changes, growth experiments, and operational KPIs. Report results using concise dashboards, reports, and data storytelling for non‑technical stakeholders. Work cross‑functionally with product, marketing, engineering, and country managers to standardize metrics and training. Maintain data quality: identify polluted data, propose remediation, and implement robust ETL checks. Required skills and experience 3+ years in data science, analytics. Python and SQL skills for data manipulation, modeling, and production prototyping. Experience consolidating diverse data sources and building reliable analytical pipelines. Experiment design and causal inference methods. Practical ML experience (classification, regression, segmentation) and model evaluation. Product analytics tools experience. Ability to build dashboards and present insights clearly (Looker, Tableau, Power BI, or similar). Business mindset: translates technical results into measurable business outcomes. Proactive: takes initiative, owns end‑to‑end delivery, and can work with limited supervision. Nice to have Experience with subscription businesses and monetization models. Familiarity with marketing attribution and LTV modeling. Frontend or backend dev experience to implement tracking or small UI changes. Knowledge of data engineering tools (Airflow, dbt, Spark). Experience working across international markets and multilingual datasets. Benefits Why Join Us Fully remote. Full-time freelance role. Competitive monthly rate.

Location: Portugal; Georgia; Poland; Vietnam; Cyprus; Montenegro Lead cross-team projects end to end, from planning to launch and post-launch evaluation. Align dependencies, priorities and timelines across product, engineering and business teams. Build project plans, track progress and keep stakeholders informed. Identify risks and blockers early; resolve or escalate them as needed. Coordinate launches with business teams to ensure smooth releases for clients. Run kickoffs, syncs, status updates, announcements and retrospectives. Improve delivery processes and mentor less experienced project and delivery managers. Requirements 5+ years in project or delivery management at product IT companies, including 2+ years leading projects involving three or more teams. A track record of delivering complex, multi-month projects with significant technical dependencies. Experience with B2B or B2B2C products used by business clients in their daily operations. A solid understanding of the software development lifecycle, from discovery and system analysis through technical design, development, testing and release. Strong stakeholder management skills and the ability to influence without formal authority. Experience managing risks, dependencies and escalations. Confidence using YouTrack, Jira or similar tools, as well as Confluence. Clear, structured written communication, including status reports, project documentation and decision logs. English at B2+ level; project communication takes place in English. Benefits A fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward; Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model; We are an ambitious and supportive team who love what they do, appreciate each other, and grow together; The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee; We also provide partial compensation for employees participating in external training and conferences; In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world; And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services; We prioritize well-being and are committed to supporting the overall health and work-life balance at ETG. As part of this commitment, we provide MyTime Day Off - an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Location: Efkarpia, Greece We are looking for a Financial Controller to join our Finance team and play a key role in ensuring accurate, consistent, and reliable financial reporting across Alumil Group subsidiaries. In this role, you will work closely with local accounting teams, the Consolidation Department, and senior management, combining strong accounting knowledge with analytical skills and a solid understanding of financial reporting requirements. You will oversee accounting operations, ensure compliance with local regulations and Group standards, and support the financial consolidation process, contributing to the Group's overall financial health and performance. Your day-to-day work will involve coordinating accounting activities, reviewing financial data, supporting financial reporting and analysis, and ensuring that subsidiaries operate in alignment with the Group's accounting policies and reporting requirements. Key Responsibilities Supervise and coordinate the day-to-day accounting operations and accounting professionals across subsidiaries, ensuring accuracy, efficiency, and compliance with company standards and local regulations. Oversee monthly, quarterly, and annual financial reporting, ensuring the timely preparation and accuracy of financial statements and supporting documentation. Coordinate and support month-end and year-end closing activities, including tax postings, account reconciliations, and financial reporting. Ensure the accuracy and completeness of subsidiary financial data, reviewing and reconciling accounts, including intercompany transactions, to support the Group's consolidation process. Ensure that subsidiaries' accounting systems, charts of accounts, and financial structures are properly configured and aligned with the Group's accounting policies and reporting requirements. Monitor and maintain the integrity of accounting systems, including sub-ledgers, control accounts, and cost allocation structures, identifying opportunities for improvement and ensuring reliable financial data. Support the Consolidation Department and CFO by providing financial analysis, consolidated reporting inputs, and insights into subsidiary performance. Support the implementation of internal controls and facilitate internal and external audit processes, ensuring the availability of accurate financial documentation and compliance with relevant requirements. Collaborate with the Controlling and Financial Analysis teams in budgeting and forecasting activities, providing financial insights and cost analysis to support business planning and decision-making. Identify opportunities to improve accounting processes, financial reporting, and operational efficiency, while supporting the professional development and performance of accounting teams. Requirements Bachelor's degree in Accounting, Finance, Economics, or a related field. MSc in Accounting, Finance, or a relevant field will be considered an advantage. At least 3 years of relevant professional experience in Accounting, Financial Reporting, Financial Control, or a similar role. Experience in financial reporting and a good understanding of accounting principles and financial statements. Experience in a multinational environment or working with subsidiaries will be considered an advantage. Strong Excel skills and the ability to analyze and interpret complex financial data. Very good command of English, both written and spoken. Strong analytical and problem-solving skills, with excellent attention to detail and a strong focus on financial data accuracy. Ability to coordinate, communicate, and collaborate effectively with multiple stakeholders, including accounting teams, the Consolidation Department, and senior management. Benefits Provision of private life & health insurance Bonus according to performance Continuous learning and support Τraining plan based on the employee’s needs Working tools according to the position ALUMIL opposes any form of discrimination, unequal behaviour or treatment, and any violation of human rights, and is committed to ensuring equal opportunities in employment. In the recruitment and evaluation of employees, it does not discriminate on the grounds of race, sex, gender identity or gender expression, religion, age, disability, sexual orientation, nationality, political beliefs, social or national origin, or descent. ALUMIL complies with the statutory provisions strengthening the application of the principle of equal pay for men and women for equal work or work of equal value (Law 5316/2026). The selection process is gender-neutral, and recruitment procedures are conducted in a non-discriminatory manner. Candidates are assessed solely on the basis of objective, job-related criteria. Every candidate has the right to be informed, in writing or orally, of the pay range for the position prior to the job interview. The pay range has been determined on the basis of objective, gender-neutral criteria, free of any other form of discrimination, in accordance with the company’s pay structure.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia; Lima, Peru New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a skilled AI Engineer to join our team in building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. In this role, you’ll help design and optimize pipelines that detect and track actionable safety events in high-volume video streams. You’ll work on real-world systems that make an impact, collaborating with engineering and product teams to deliver reliable, high-performance solutions. 🟩 What's in it for you: Collaborate with top engineers on an innovative, technically challenging computer vision project Build impactful systems that enhance safety across large fleets and industrial operations Gain hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring ✅ Is that you? 7+ years of software engineering experience with strong backend skills 3+ years of experience shipping computer vision solutions to production Strong Python proficiency Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations Hands-on experience with YOLO/Ultralytics or similar object detection frameworks Experience detecting, labeling, and tracking objects in video Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning) Ability to communicate and collaborate effectively with engineering and product teams Upper-Intermediate+ English level Desirable: Experience with Azure Event Hub, Blob Storage, Application Insights, or similar Familiarity with Docker, cloud deployments, and production monitoring systems Experience in temporal/sequence analysis for event detection Experience with video analytics in safety, compliance, or industrial/transportation environments 🧩 Key responsibilities and your contribution In this role, you’ll develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models. Develop and optimize GPU-accelerated video inference pipelines for real-time processing Implement, evaluate, and improve object detection models (YOLO or similar) Build temporal smoothing and tracking logic for safety event detection Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs Contribute to dataset curation, labeling, and model evaluation; fine-tuning/training as needed Support containerized deployments (Docker) and assist with monitoring and scaling production workload Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: USA Workplace: Remote Part-Time | Project-Based 🚀 ABOUT OUR CLIENT Our client is developing a next-generation MarTech platform designed to help businesses unlock new revenue opportunities and scale through smarter technology. As part of its product expansion, the team is developing an advanced iGaming player data platform and looking for an experienced industry professional to help shape its strategy, architecture, and roadmap. 🎯 ABOUT THE ROLE This is an opportunity to put your iGaming CRM / CDP expertise into practice and directly influence the development of a new player data platform. Our client is looking for an experienced consultant who understands how leading iGaming operators manage player data, retention, segmentation, promotions, and multi-brand ecosystems. You'll help evaluate the market, identify the right technology solutions, and define what should be built in-house versus sourced from third-party providers. 💡 WHAT YOU'LL BE WORKING ON - Industry & Market Research: Analyze existing iGaming CRM, CDP, and PAM solutions, identify leading providers, compare capabilities, and share industry best practices. - Product Strategy: Help define the vision and priorities for a unified player data platform across multiple brands. - Build vs. Buy Assessment: Evaluate third-party solutions, their features, pricing, and suitability versus developing an in-house platform. - Roadmap Development: Define key functionalities, technical requirements, resources, priorities, and implementation timelines. - Expert Advisory: Challenge existing product ideas, review proposed solutions, and provide practical recommendations based on your hands-on experience. - Performance & Retention: Advise on player segmentation, real-time triggers, bonus effectiveness, and measuring incremental revenue. 🔍 WHAT WE'RE LOOKING FOR - Hands-on experience with iGaming CRM, Customer Data Platforms (CDP), or Player Account Management (PAM) systems. - Strong understanding of player lifecycle management, retention, player profiles, and segmentation. - Experience with multi-brand or cross-brand player data environments. - Background in designing or implementing player profiles, bonus targeting, promotional mechanics, game recommendations, or real-time triggers. - Understanding of player wallets, bonus engines, reward mechanics, and promotional rules. - Ability to assess CRM and bonus performance through data, experiments, and incremental revenue measurement. - Knowledge of bonus abuse prevention and responsible gambling principles. - Strong analytical and strategic thinking, with the ability to turn complex industry knowledge into clear recommendations and actionable roadmaps. - Excellent written and verbal English communication skills. ⭐ NICE TO HAVE - Experience working directly with iGaming operators. - Experience building or selecting in-house CRM / CDP solutions. - Familiarity with unified wallets, bonus engines, missions, tournaments, and reward systems. - Experience with white-label or multi-market platforms, particularly in Asia or Latin America. - Knowledge of analytics platforms such as Amplitude, Mixpanel, or PostHog. - Experience designing control-group experiments and measuring campaign effectiveness. What makes this opportunity interesting? You won't be stepping into another operational CRM role. Instead, you'll have the chance to share your expertise, influence product direction, and help shape a platform from the ground up — while maintaining flexibility over your workload.

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 Infrastructure Engineering team enables Reddit to deliver Reliability, Performance, and Efficiency, with a single opinionated technology stack. We empower Reddit developers by delivering a reliable, scalable, and automated foundation - unifying compute, seamless deployments, robust storage, and high-performance messaging to maximize developer velocity and system resilience. This centralized role hires across several high-impact teams, including: Messaging: Delivers a reliable, performant, and efficient platform to support asynchronous communication across all products and services at Reddit. Site Defense: Builds platforms that detect and mitigate bots, scraping, and abusive traffic while preserving a reliable experience for legitimate users across Reddit. Infrastructure Security: Builds platforms for service identity, secrets management, and secure access that make Reddit’s infrastructure secure by default. What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. In your day-to-day, you will: Steer: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals. Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around authentication, authorization and identity. Amplify: Mentor, coach, and collaborate with other technical contributors Collaborate: Work together with a variety of cross functional teams across Reddit Engineering. Evolve: Learn and improve your own technical and non-technical abilities Who you might be: 3+ years of experience building internet-scale software, preferably with a focus on distributed systems infrastructure or infrastructure security. Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java Experience with essential cloud infrastructure (Kubernetes, CI/CD, AWS, GCP) Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. Degree in Computer Science or equivalent technical field. 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: $164,000 — $229,000 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: Oakland, California, United States About the Job: LaunchDarkly is hiring a Chief of Staff to report to the CEO and partner with the Executive Leadership Team (ELT) as the company continues to scale. This is a senior, individual contributor role for a strategic operator and trusted advisor who thrives at the intersection of strategy, execution, communication, and data. As Chief of Staff, you’ll help translate company strategy into action, shape executive-level planning and decision-making, and ensure leadership discussions are grounded in clear insights and high-quality materials. You’ll operate with significant autonomy, exercise wide latitude in how work gets done, and act as a thought partner to senior leaders across the organization. This role is ideal for someone with deep experience navigating complex, cross-functional environments and a strong executive presence who is excited to have broad influence without people management responsibilities. Responsibilities: Strategic Leadership & Cross-Functional Execution Partner with the CEO to drive company-wide strategic initiatives from conception through execution. Help align the Executive Leadership Team and broader organization around priorities, tradeoffs, and outcomes. Proactively identify risks, dependencies, and gaps across critical initiatives and surface insights to leadership. Act as connective tissue across executives and teams to ensure strategy translates into coordinated action. Operating Cadence & Company Planning Shape and support LaunchDarkly’s operating rhythm, including owning OKRs and leadership planning processes. Design and evolve planning frameworks that enable effective executive decision-making. Support annual and long-range planning cycles, synthesizing inputs and highlighting strategic implications. Executive & Company Communications Lead the preparation and refinement of executive-level materials, including Board meeting materials and ELT presentations.  Ensure executive content is clear, concise, decision-oriented, and aligned with company strategy. Data, Insights & Analysis Partner on executive dashboards and reporting, ensuring metrics are accurate, consistent, and actionable. Analyze and understand data to inform strategic decisions and evaluate proposed initiatives. Translate analysis into clear recommendations for senior leadership audiences. Executive Meetings & Offsites Design agendas and content for executive meetings and off-sites with a focus on alignment and outcomes. Capture key decisions, clarify next steps, and support follow-through across the organization. Qualifications: Typically requires a minimum of 15 years of related experience, preferably in senior-level roles involving strategy, operations, consulting, finance, product operations, or executive advisory work. Demonstrated success partnering closely with executive leaders and influencing at the highest levels of an organization. Exceptional written and verbal communication skills, with the ability to distill complexity into clear, compelling narratives. Strong analytical capabilities and comfort working with SaaS metrics and executive-level data. Ability to manage multiple, high-impact workstreams with sound judgment and prioritization. High degree of discretion, integrity, and emotional intelligence. Pay: Target pay ranges based on Geographic Zones* for Level 6: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 240,600 - $330,700 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 216,500 - $297,600 ** Zone 3: All other US locations - $ 204,500 - 281,100 ** All Zones Inclusive of 10% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: San Francisco Bay Area, California, United States; 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. Director of Product, Ecosystem Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, development environments, and data pipelines purpose-built for demanding AI workloads. We’re looking for a hands-on product leader to help shape our platform for the next generation of AI applications. Your focus will be agentic infrastructure : the capabilities developers and enterprises need to build, run, and scale systems that reason, use tools, and take action. As Director of Product, Ecosystem , you will identify emerging customer needs, explore new product opportunities, and turn promising ideas into capabilities developers choose to build on. You will combine product judgment, technical experimentation, and close relationships across the AI ecosystem to shape what Nebius builds and how it works with other platforms and tools. Your responsibilities Define product direction Own the product vision, priorities, and roadmap for emerging opportunities in agentic infrastructure. Work directly with developers and enterprise teams to understand their workflows, technical constraints, and unmet needs. Translate customer insights and ecosystem developments into clear product decisions and scoped releases. Partner with engineering and design throughout discovery, development, launch, and iteration. Define success through developer adoption, production usage, customer outcomes, and business impact. Explore and build hands-on Build prototypes, sample applications, and integrations to test ideas and make product decisions concrete. Use Nebius and relevant ecosystem tools firsthand to understand the developer experience and identify gaps. Work through technical tradeoffs with engineering, including performance, reliability, security, and cost. Validate new concepts with customers and turn successful experiments into production offerings. Help create reference architectures and examples that make it easier for developers to get started. Connect the ecosystem to the platform Build close relationships with founders, technical leaders, and developers shaping how AI applications are built. Evaluate emerging tools and technologies through direct experimentation and customer feedback. Identify where Nebius should build, integrate, or partner to deliver a stronger product experience. Lead the product side of selected partnerships, from initial concept through integration, launch, and adoption. Bring external insights into platform planning and help leadership prioritize investments. Drive adoption and iteration Work with developer relations, marketing, sales, and field teams to bring new capabilities to market. Stay close to early users, resolve adoption barriers, and feed production learnings into the roadmap. Develop a repeatable path from customer discovery and experimentation to products with sustained usage. Product scope This role spans the infrastructure and developer experience that support agentic applications. Opportunities may include how applications access models and tools, manage context and state, execute workloads, connect to data, and operate reliably in production. Your scope will evolve with customer needs and the platform’s direction. We value the ability to find the right problems, develop a clear product thesis, and deliver useful capabilities across this landscape. We expect you to have 8+ years of relevant experience building technical products, with meaningful ownership of AI infrastructure, cloud platforms, or developer tools. A track record of taking products from an ambiguous customer problem to production adoption, with measurable outcomes. Strong technical fluency and the ability to work through architecture and implementation decisions with engineers. A hands-on approach: You can use APIs and SDKs, explore unfamiliar tools, and build working prototypes to test your thinking. Experience designing developer experiences across APIs, integrations, documentation, and operational workflows. Familiarity with how AI applications are built and an informed perspective on the infrastructure needs of increasingly agentic systems. Strong customer discovery skills and sound judgment about which needs can support a repeatable product. Clear written and verbal communication, including product proposals, technical tradeoffs, and investment recommendations. Comfort setting direction, making decisions, and delivering in a fast-moving environment. It will be an added bonus if you have Founded a company or served as an early product or engineering leader at an AI or infrastructure startup. Built products used by developers to create or operate AI applications. Experience with distributed systems, cloud infrastructure, or production AI workloads. Contributed to open-source projects or worked closely with developer communities. Built technical partnerships that led to successful integrations or new product capabilities. Key Employee Benefits: Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) Plan: Up to 4% company match with immediate vesting. Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote Work Reimbursement: Up to $85/month for mobile and internet. Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. 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 $228,000 — $285,000 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: Los Angeles, USA As Technical Producers at Riot, we lead passionate technical teams to create products and experiences that achieve maximum developer, operator, and player value. We guide development, clear blockers, and push projects across the finish line while ensuring our teams are sustainable and foster a collaborative environment. As a Senior Technical Producer on the Infrastructure Platform team, you'll drive direction and delivery across the platforms the rest of Riot ships on: live game services in every region, internal tools Rioters build to do their jobs, and a fast-growing set of workloads. Much of the work ahead is extending those platforms to support emergent or underserved use cases, and you'll help decide what that should look like. You'll partner closely with engineering leads across Infrastructure and the teams across Riot who depend on what we deliver. Responsibilities: Partner with engineering managers and technical leads to develop the technical product vision, strategy, and roadmap for your area Own product requirements for your area, defining what to build, what success looks like, and how it will be measured. Partner with engineering to evaluate designs against user needs, assess trade-offs, and pressure-test implementations Manage delivery plans, risks, blockers, dependencies, tradeoffs; maintain clear stakeholder communication Lead the breakdown and execution of multi-month work efforts spanning multiple teams within an initiative Partner with teams to improve work systems, practices, delivery rituals, and goal setting; strengthen product feedback loops to clarify decisions, strengthen delivery predictability, and create a more consistent customer experience Coordinate or facilitate day-to-day team rituals where needed within assigned scope Assess team health, composition, and capacity to ensure the team is set up for success Drive difficult technical tradeoffs with technical leaders, and articulate and advocate those tradeoffs to non-technical stakeholders Serve as a key point of contact for customers in your assigned scope; engage them to understand needs and coordinate new-work intake Prioritize customer requests in partnership with relevant engineering and technical leads for your assigned scope Own an integrated view of delivery status across your assigned scope, tracking progress against goals and milestones, and contribute to consolidated reporting for relevant stakeholders, adapting updates to the audience and reporting needs Use customer feedback, product signals, test results, and operational data to validate problems and drive priorities Monitor product and service health, including user experience, cost, usage, performance, and operational effort, and help turn signals into improvements Mentor other producers and contribute ideas beyond your immediate ownership across teams Required Qualifications: 6+ years of experience as a Technical Producer, Technical Product Manager, Development Manager, or a relevant role on medium to large technical teams Bachelor's degree in computer science, engineering, or equivalent practical experience Experience applying Agile and Lean development processes at scale, and contextually adapting a broad set of development processes Experience independently leading complex technical programs/projects with multiple teams, diverse stakeholders, or dependencies Broad understanding of technical systems across multiple related areas, with the ability to identify and articulate multiple solutions and their tradeoffs Experience defining product strategy, success metrics, and roadmap priorities for technical platforms, internal tools, or operational capabilities Ability to understand technical requirements and how technical choices affect reliability, operations, and developer and player experience Strong understanding of product management and the ability to find balanced solutions across technical, developer, and delivery constraints Ability to set product and technical requirements within a defined space and evaluate designs or architecture against those requirements Experience owning a roadmap, product plan, or execution plan through more than one stage of the product lifecycle, including launch and post-launch improvement Ability to communicate complex topics clearly to audiences with little or no context Proficiency with Jira Desired Qualifications: Familiarity with Atlassian tools, including Jira Product Discovery and Jira Plans Experience building business cases and funding asks for technical investment Experience with infrastructure, cloud, developer tooling, or live-service products Experience improving developer productivity, operational quality, or self-service for a central platform Experience applying data, experimentation, automation, or AI-enabled workflows to deliver customer value or improve efficiency Experience working across infrastructure and game teams in a globally distributed, high-scale, or live-service environment For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Canada What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Infrastructure/SRE Engineer to improve the reliability and stability of the customer-facing production infrastructure behind Webflow’s Convert pillar. Convert owns a suite of products that give marketing and growth teams the tools to experiment, personalize, and drive real revenue from their web presence, including Webflow Analyze, Optimize, AEO, and Campaigns. As tens of thousands of projects launch on Webflow each month, you’ll help keep the platform secure, scalable, and dependable for the people who rely on it. Much of what Convert delivers depends on data: high-volume event ingestion, real-time and analytical data stores, and pipelines that turn visitor behavior into reporting, experiments, and personalization. You’ll own the reliability, performance, and cost of this data infrastructure, including streaming and batch pipelines and analytical databases. You’ll set SLOs, build observability, plan capacity, and make sure data stays fresh, accurate, and available as volume grows. The next chapter is ambitious. We’re serving some of the world’s largest enterprises and rethinking what an AI-native conversion platform can be. You’ll work across a large, revenue-generating system, partner with the engineers who build on it, and help decide how it needs to evolve.   About the role: - Location: Remote-first (USA and Argentina) - Permanent - Exempt - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $187,500 - 225,000 - Zone B: $176,700 - 212,000 - Zone C: $165,000 - 198,000 - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position. As a Senior Infrastructure/SRE Engineer on the Convert pillar, you'll: - Own and evolve the cloud infrastructure behind the Convert products, including compute, serverless, networking, and cloud operations on AWS. - Build and maintain our infrastructure-as-code foundation in Pulumi, and evolve the patterns and shared components other teams build on. - Improve scalability and reliability of distributed, event-driven systems, including our Druid, MongoDB, and Airflow workloads, with a focus on low latency. - Make observability the foundation of how we operate. Improve the dashboards, alerts, and SLOs for the systems you own so we catch issues before customers notice, and on-call pages are actionable instead of noisy. - Lead projects from design through launch that move team and engineering org goals. - Write and review maintainable, tested, performant code and automation, and raise the quality bar for the team. - Build AI-powered automation, from policy-as-code and drift detection to LLM-assisted runbook generation, and use AI tools in your daily work. - Help the team build reliable systems. ABOUT YOU Requirements: - BA/BS degree or equivalent experience - Business-level fluency to read, write and speak in English You’ll thrive as a Senior Infrastructure/SRE Engineer if you: - Have 5+ years owning and operating cloud infrastructure in a customer-facing environment with little tolerance for downtime. You come from infrastructure, SRE, or cloud engineering with a love of automation and code, or from software engineering with a deep interest in cloud infrastructure and distributed systems. - Have deep hands-on experience with AWS and a clear view of what good cloud operations look like. - Have used infrastructure as code (Pulumi or Terraform) and prefer changes made through code, not consoles. - Have operated high-throughput, data-intensive distributed systems in production, such as Druid, MongoDB, or Airflow, and understand scalability, fault tolerance, consistency trade-offs, and performance tuning. - Are fluent in Python or TypeScript/Node.js for automation and tooling, and can read and work in Java services. - Treat observability as the basis of operations: you design SLOs, dashboards, and alerts so that issues surface before customers notice and pages are actionable. - Handle incidents well, including on-call and blameless postmortems, and fix the root causes behind them instead of just closing tickets. - Want to improve developer productivity, with CI/CD, tooling, and paved paths that let product engineers ship without owning infrastructure. It would be a bonus if you had even one of the following: - Experience with Apache Spark, Airflow, or TensorFlow. - Familiarity with Kafka or other event streaming platforms. - Experience building AI-assisted infrastructure tooling, including cost optimization loops, anomaly detection, or policy-as-code with LLM assistance. - Experience contributing to multi-region architecture including data residency, regional failover, or latency-based routing. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.