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Location: British Columbia Workplace: Hybrid As an Outbound Business Development Representative, you'll focus on generating qualified sales opportunities through proactive outreach to new prospects and existing customer accounts. You'll research target organizations, identify business challenges, and connect with stakeholders across teams and leadership levels to secure meetings for our Account Managers. You'll work closely with our sales and marketing teams to develop targeted outreach strategies, communicate the value of Safe Software's solutions, and contribute to revenue growth. Work Location This is a hybrid role based at Safe Software's headquarters in Surrey, BC, with an expectation to work onsite at least three days per week. Compensation On-target earnings (OTE) of $105,000 CAD annually. ABOUT THE TEAM You'll work closely with Account Managers, Pre-Sales, Product Marketing, and the BDR team to identify opportunities, develop outreach strategies, and build a qualified sales pipeline. Through regular check-ins and team meetings, you'll share insights, review performance, and align on priorities. WHAT YOU’LL BE DOING As an Outbound Business Development Representative, you will: - Generate new business opportunities: Conduct outbound prospecting through cold calls, personalized emails, and social outreach to connect with decision-makers at prospective and existing customer accounts. - Research target accounts: Use prospecting platforms and AI tools, including HubSpot, LinkedIn, Clay, Gong, Claude, and ChatGPT, to identify prospects, understand organizational structures, and tailor your outreach. - Build a qualified sales pipeline: Develop an understanding of Safe Software's products, value proposition, and sales strategies to identify customer needs, communicate relevant solutions, and secure qualified meetings for Account Managers. - Manage sales activities: Track outreach, maintain accurate prospect and account records, and manage follow-up activities in HubSpot. - Collaborate across teams: Partner with Account Managers, Pre-Sales, and Product Marketing to prioritize target accounts, refine messaging, and improve outbound campaigns. - Improve outreach strategies: Participate in regular check-ins with Account Managers and the BDR Director, along with weekly team meetings, to review results, share insights, and adjust priorities based on performance and market opportunities. QUALIFICATIONS, SKILLS, AND COMPETENCIES WHAT WE’RE LOOKING FOR: - A bachelor's degree, associate's degree, or equivalent education. - 2+ years of experience in business development, outbound sales, or a related role. - Experience with cold calling, writing effective outbound emails, and engaging prospective customers through multiple channels. - Ability to research target accounts, identify decision-makers, and build relationships with stakeholders across an organization. - Ability to set priorities, work towards sales targets, and manage outreach activities independently. - Clear written and verbal communication skills, including active listening and the ability to adapt messaging to different audiences. - Strong organizational skills and attention to detail when managing prospect information and follow-up activities. - Comfort using AI tools to support prospecting, account research, and daily workflows. - Ability to collaborate effectively with a remote team while managing day-to-day responsibilities independently. NICE TO HAVE: - Experience selling to or prospecting within industries such as Energy and Utilities, Provincial, State, or Local Government, Transportation and Rail, Architecture, Engineering and Construction (AEC), or Telecommunications. - Familiarity with HubSpot, LinkedIn, Gong, or similar sales prospecting and CRM tools. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.   The difference you’ll make: You’ll sit in the Applied AI who are part of the wider AI Centre of Excellence reporting to the Lead Applied AI Engineer. You’ll work closely with our business verticals, engineering, security, vendors and business stakeholders to build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues. Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. You’ll contribute to production services from day one, developing your skills while improving reliability, automation and operational outcomes. The team sits within Business IT & AI Operations, providing the technical expertise, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively. Your day-to-day: - Administer and continuously improve a rangeSaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management. - Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems. - Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations. - Monitor service health, usage, cost and performance; lead testing, evaluation and incident triage to improve reliability and prevent recurring issues. - Partner with product, engineering, security, vendors and business teams to translate needs into effective platform configurations, integrations and automations. - Document configurations, dependencies and runbooks, applying secure change-management, governance and operational practices. Your skillset: - SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support. - Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable. - API & Data Integration: Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines for connecting SaaS platforms, AI services and backend systems. - Familiarity with cloud environments, preferably Google Cloud Platform, CI/CD, observability, incident management and secure operational practices. The interview journey: - Intro with a member of the Talent Acquisition team - 30 mins - 1st stage video interview with Lead Applied AI Engineer - 1 hour - Applied AI and SaaS administration task - Final stage with Director of Applied AI and senior stakeholders - 1 hour Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Cycle to work scheme, season ticket loan and eye care vouchers Our commitment to inclusion: At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Mapbox Poland Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. Our annual compensation for this role ranges from $102.000 - $153.000 (salaries are in USD). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of the role). By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking an NPI Quality Engineer II, Hardware to support Product Quality activities for hardware development programs from concept through launch. As a member of the Product Quality organization, you will partner closely with Hardware Engineering, Manufacturing Engineering, Supplier Quality, Reliability, Operations, and global manufacturing partners to help ensure products are designed, validated, and launched with exceptional quality. You will support quality planning, design and manufacturing risk management, validation, and launch-readiness activities while developing technical expertise in Product and NPI Quality. RESPONSIBILITIES: - Support Product Quality activities for assigned hardware development programs, components, or subsystems throughout development, validation, manufacturing readiness, and product launch. - Partner with Product Management and Systems Engineering to help translate Voice of Customer requirements into measurable product and engineering requirements. - Work cross-functionally with Hardware Engineering, Manufacturing Engineering, Supplier Quality, Field Quality, Reliability, Test Engineering, Operations, and manufacturing partners to identify potential failure modes and quality risks early in product development and track them through resolution. - Support and facilitate quality planning activities including DFMEA, CTQ definition, reliability planning, validation and verification, process capability, measurement system analysis, and launch-readiness reviews. - Analyze engineering and manufacturing data to identify product and process risks and support data-driven decision making. - Partner with Supplier Quality to support supplier and contract-manufacturer quality activities, including engineering drawing reviews, design-file reviews, control plans, inspection strategies, and process capability assessments. - Apply structured problem-solving methodologies to investigate product and manufacturing failures, support root-cause analysis, and drive corrective and preventive actions. - Support engineering builds and NPI activities, including identification, documentation, prioritization, and closure of quality issues. - Monitor product and process quality metrics and communicate significant trends, risks, and issues to the Product Quality team and cross-functional stakeholders. - Participate in cross-functional program and technical reviews, providing objective quality data and supporting risk and launch-readiness assessments. - Document lessons learned and help ensure relevant findings from development, validation, manufacturing, and field performance are incorporated into future product-development activities. - Contribute to the continuous improvement of Product Quality processes, tools, templates, and standards. - Willing and able to travel up to 15% internationally to partners, suppliers, and contract manufacturers. QUALIFICATIONS: - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Quality Engineering, or a related technical discipline. - 3–5+ years of experience in Product Quality, NPI Quality, Manufacturing Quality, Product Engineering, or related engineering roles supporting consumer electronics, wearables, medical devices, or similarly complex hardware. - Experience supporting hardware products through one or more phases of product development, validation, manufacturing readiness, and/or launch. - Working knowledge of quality methodologies including DFMEA, PFMEA, CTQ, DOE, SPC, MSA, GR&R, root-cause analysis, CAPA/8D, and statistical quality methods. - Experience analyzing engineering and manufacturing data and applying structured problem-solving techniques. - Experience working with suppliers or manufacturing partners, preferably in a high-volume manufacturing environment. - Strong analytical and problem-solving skills with the ability to use objective data to identify and communicate product and manufacturing risks. - Effective written and verbal communication skills with the ability to collaborate across engineering and operations teams. - Ability to operate effectively in a fast-paced, collaborative environment while managing assigned priorities and deliverables. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $120,000 - $160,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Berlin Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Head of Public Affairs for Germany on the Policy and Government Relations team, you will shape Mistral AI’s presence and influence in Germany, ensuring the company plays a leading role in the future of AI policy and regulation. This role exists to establish Mistral AI as a trusted thought leader in Germany, driving both public interest and business growth by navigating complex regulatory landscapes. You will work closely with policymakers, industry leaders, and internal teams to build a regulatory ecosystem that supports innovation while enabling adoption in the public sector. Your impact will be immediate: from shaping policy strategies to unlocking revenue opportunities, you will help Mistral AI thrive in one of its most critical markets. This role directly reports to our Public Affairs Director for EMEA, and may evolve to a larger DACH and/or Central Europe scope in the future. WHAT YOU WILL DO - Monitor and analyze AI-related policy developments in Germany and the EU, assessing their impact on Mistral AI. - Develop and execute a long-term public affairs strategy, including parliamentary engagement, position papers, and lobbying campaigns. - Engage with policymakers, industry leaders, and key opinion leaders to foster constructive dialogue on AI and technology policy. - Prioritize and respond to policy issues affecting Mistral AI, proposing solutions that align with business and community interests. - Advise cross-functional teams on regulatory changes, ensuring compliance and informing product and business decisions. - Collaborate with Sales to design strategies that accelerate public sector adoption of AI. - Track industry trends and best practices in public affairs, ensuring the team remains ahead of regulatory shifts. - Build and maintain a strong network in Germany to amplify Mistral AI’s influence and reputation. WHAT WE'RE LOOKING FOR - Extensive public affairs experience, with a track record of impacting policy-making, ideally in both public and private sectors. - Deep understanding of German institutions (federal, regional, and local) and the ability to map decision-making power. - Expertise in tech regulations, including GDPR, Copyright, AI Act, DMA, and tax laws. - Experience in highly scrutinized environments, where public affairs are critical to business success. - Trust-building skills, with the ability to defend positions rigorously, foster long-term relationships, and act as a thought partner. - Team player with a bias for action, ownership, and the ability to navigate ambiguity. - AI knowledge and familiarity with long-term industrial plans or model development (a plus). - Open Source mindset, aligning with Mistral AI’s commitment to openness and collaboration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Finland; Mapbox Helsinki Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Director, Legal Operations will serve as the centralized owner for Legal’s operations, technology, data, and execution. This role is responsible for Legal AI strategy and implementation, partnering closely with Engineering, Product, Security, Finance, and other stakeholders to modernize and scale Kraken’s legal function. As Kraken’s regulatory footprint and business complexity grow, this leader will own operational strategy, tooling, process design, and metrics—driving automation, AI adoption, workflow standardization, and vendor optimization. This role ensures Legal operates as a strategic, data-driven partner to the business rather than a reactive cost center. This leader will also be responsible for Legal’s financial, resourcing, and demand management foundations—ensuring the right work is done by the right resource at the right cost, with predictable outcomes as the organization scales.     THE OPPORTUNITY - Serve as DRI for Legal Operations, Legal Technology, and Legal AI strategy, execution, and governance. - Own Legal’s operating model across workflows, processes, resourcing, and service delivery. - Own budget planning, forecasting, accruals, and cost modeling with Finance. - Manage legal billing and outside counsel. - Lead resourcing, capacity planning, headcount modeling, role design, and make/buy/automate decisions. - Manage the legal technology stack (CLM, matter management, AI tools, knowledge management, intake, spend management). - Enforce centralized ownership, standardization, and compliance across legal technology. - Evaluate AI tooling, drive build-vs-buy decisions, translate requirements into technical roadmaps, ensure secure deployment, measure ROI, and lead integrations. - Establish metrics, dashboards, and controls for workload, demand, spend, cycle times, efficiency, risk, and outcomes. - Design and operate intake, triage, and demand-management frameworks, including prioritization models, service tiers, SLAs, and self-service pathways. - Optimize vendor and contractor management, spend controls, billing review, performance measurement, and work allocation. - Design, implement, and adopt AI-enabled legal workflows at scale. - Evolve the Legal knowledge management strategy (playbooks, templates, decision trees, guidance) for reuse and automation. - Prioritize operational, process, and technology initiatives based on impact, risk reduction, and ROI. - Lead change management, training, and adoption for new processes, technologies, and AI systems. - Ensure compliance with regulatory, security, privacy, and compliance standards. - Maintain operational controls to reduce legal, regulatory, and model risk. - Enable attorneys to focus on legal judgment, strategy, and advisory work.     WHAT YOU BRING - 10+ years in Legal Operations, legal technology, process design, finance-adjacent operations, or operational leadership. - Experience scaling legal operations, legal technology, financial management, and data-driven execution. - Experience driving automation and AI initiatives from strategy through deployment, governance, adoption, and ROI measurement. - Understanding of legal workflows (contracts, regulatory, litigation, investigations, intake, outside counsel management) and process redesign. - Hands-on experience optimizing legal technology platforms (CLM, matter management, spend management, intake, knowledge management, AI tools). - Ability to translate requirements into technical roadmaps and operational plans. - Experience establishing metrics, dashboards, controls, and OKRs. - Communication skills to influence legal leaders, executives, and technical teams. - Experience operating in ambiguity and leading transformation in high-growth environments.     NICE TO HAVES - Experience in fintech, crypto, financial services, or regulated industries. - Background in enterprise AI governance, model risk management, or secure AI deployment. - People management experience in Legal Operations or adjacent functions. - Experience benchmarking Legal Operations practices, tooling, and cost structures against industry standards.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Priority Application Deadline: November 9, 2026 Location: This role is remote but must overlap with an East Africa timezone by at least 3 hours . We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time. About this role The Monitoring and Evaluation (M&E) Associate for Rapid Experimentation will support the execution and analysis of A/B tests across GiveDirectly’s programs, contributing to the use of data to inform program and product decisions. This role is fast-paced and iterative - the team runs frequent, lightweight experiments designed to generate actionable answers quickly, and then uses those learnings to refine and improve programs in real time. This includes: Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects , ensuring that experiments are implemented effectively and contribute to learning within and across projects Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results , working closely with Programs, Product, Research teams, and external academic partners to align experimental design with program delivery, data collection, and operational realities Translating findings into actionable insights and well-structured learning products that serve multiple audiences - internal program and product teams, and external academic partners, ensuring results inform both immediate decisions and longer-term program direction In practice, this role is about managing a high volume of rapid experiments and turning results into clear, credible evidence that continuously shapes how GiveDirectly’s programs are refined and improved. Reports to: Senior Manager, Monitoring and Evaluation Level : Associate Travel Requirement: This role is based in Rwanda. Travel within East Africa is a regular part of the role, estimated at up to 25% of the time, to support field operations across country programs.Additional international travel may occur for trainings or team convenings, as needed (estimated up to 10%) What you’ll do: Execute and manage A/B tests across programs Conduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints Set up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines Review experiment setups prior to launch and flag execution and measurement risks that may affect interpretability Ensure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams Work at a fast pace across a portfolio of 2–3 live A/B tests at any given time, designed to generate actionable answers quickly and feed rapid iteration of programs and products Ensure accurate measurement and high-quality data for experiments Collaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities Ensure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches Prepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data Identify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions Conduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices Analyze experimental data and interpret results to inform decisions Generate reliable and decision-ready analyses of experimental data from A/B tests Assess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations Ensure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations Translate results into actionable insights and learning across experiments Translate experimental results into clear, actionable recommendations to guide program and product decisions for individual country programs, and for the direction of GiveDirectly’s programming as a whole Structure results and key learnings so they can be reused to inform future experiments and program design Prepare concise learning products (e.g., memos, summaries) that serve multiple audiences, including internal Programs and Product teams, and external academic partners, ensuring findings are clearly communicated for both technical and non-technical stakeholders Prepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis Contribute to cross-country discussions to ensure learnings from experiments are shared and applied across contexts, and maintain clear documentation so experiments are easy to track, understand, and build on over time What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Bachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field 2–4 years of experience working with data in applied settings (e.g., experimentation, evaluation, analytics, or program learning), ideally in development, tech, or operations-focused roles Solid understanding of experimental design and causal inference concepts (e.g., randomization, treatment/control groups, units of randomization, statistical power, bias) and how to apply them in real-world program contexts Experience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data) Experience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems Fluency in English required Comfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings Ability to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. Kenya Base Salary: $46,930 Bonus at Target Performance: 10% Rwanda Base Salary: $38,560 Bonus at Target Performance: 10% UK Base Salary: £52,920 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 United States Base Salary: $81,000 Bonus target: 10% Annual Benefits Stipend: $21,393 This role is fully remote, with a preference for candidates to be based in Kenya or Rwanda. If you’re located elsewhere, we’ll share an estimated salary benchmark for your country during the hiring process. You can find the full list of countries we’re currently able to hire in here . Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A supportive team that works hard and cares hard A robust health benefits plan (exact details will vary by country) Flexible paid time off that staff is encouraged to take Allowances for desk set-up and learning and development #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: Germany; Austria Workplace: Hybrid Group Deployment Lead (f/m/x) Germany or Austria At pivotal moments in history, new technology has sparked generational change, opening a window for those ready to shape what comes next. For AI, this is that window. What you’ll do We’re looking for a Group Lead to steer the deployment teams bringing Wonderful’s enterprise AI into production across Germany and Austria. Reporting directly to the Field CTO, you will lead 10 to 14 Deployment Strategists and Forward Deployed Engineers across 2/3 pods, with responsibility for 3 to 6 enterprise deployments at any one time. You’ll own delivery outcomes and team development, staying close to customers, technical decisions and the challenges that determine whether a deployment succeeds. You have personally delivered software in customer environments and are ready to lead across multiple teams. You’ll bring technical credibility, clear judgement and the ability to turn complex situations into decisions and action. - Own deployment outcomes. Drive speed to production, deployment quality and customer value across your pods, supporting expansion and renewal. - Resolve critical challenges. Act as the first senior escalation point, challenge deployment plans and make scope, sequencing and resource decisions with customers and teams. - Stay ahead of risk. Identify struggling deployments early, remove blockers and keep delivery moving. - Lead and develop your people. Manage performance, coach Deployment Strategists and Forward Deployed Engineers, lead hiring for your group and help new joiners become productive quickly. Work with craft leads on hiring standards, promotions and career development. - Scale what works. Share knowledge across pods, encourage reusable solutions and turn recurring customer needs into evidence-based product feedback. - Shape new deployments. Partner with sales to qualify opportunities and define realistic scope, delivery plans and resource requirements. Why should you - Help build Wonderful’s deployment organisation across Germany and Austria, with direct access to the regional Field CTO. - Lead a growing team while staying close to customers and the technical work. - Work on cutting-edge agentic AI, delivering production systems for major enterprises. - Join a team of high-agency builders and help shape how we scale. - A mix of home office and regular customer travel, approximately 30–50%. - Great salary with equity and revenue share What you’ll bring - Hands-on experience shipping software or deploying solutions inside customer environments as a Forward Deployed Engineer, Deployment Strategist, solutions architect or in a similar role. - Experience leading engineers or strategists, either as a formal manager or a credible player-coach. - The technical judgement to challenge deployment plans, understand trade-offs and guide teams through difficult delivery decisions. - Credibility with senior enterprise stakeholders, including CIOs and department heads, particularly when delivery is under pressure. - A strong sense of ownership and the ability to make decisions with incomplete information, build structure and adapt as priorities change. - German at C1 level or above, fluent English and willingness to travel regularly to customer sites. - Experience scaling a deployment organisation beyond 20 people or deploying LLM-based systems into production would be a plus. - It would be highly beneficial if you have already worked in a start-up/scale up and/or in Gen AI. Apply here, everyone will get a response Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Grafana Labs is looking for a Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across the DC, Virginia, & Maryland region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. Responsibilities Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests Requirements 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal In the US, the OTE compensation range for this role is $260,000 - $300,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About Fanatics Markets: Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow — from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Overview: This Staff Software Engineer role is an individual contributor position with technical leadership and significant ownership across our full stack: the web application customers use to interact with our product and the backend systems that power it. You'll combine hands-on engineering with responsibility for shaping architecture, setting technical direction, and enabling engineers across teams to deliver effectively. Whether your deepest expertise is in frontend or backend engineering, you'll apply that strength across the platform while making meaningful contributions on the other side of the stack. Joining a product at an exciting early stage, you'll help define its technical foundations, identify the highest-impact engineering challenges, and turn ambiguous problems into clear plans that balance customer needs, delivery speed, and long-term reliability. Your impact will extend beyond the systems you build. You'll lead complex initiatives spanning teams, mentor engineers, and establish practices that improve engineering quality and effectiveness. You'll also shape our approach to AI-assisted development while building systems that can handle millions of events daily. On the engineering side, we're pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation — who actively use Claude Code, Codex, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards, and who can help others adopt these workflows responsibly and effectively. Responsibilities: Set technical direction for major areas of the Markets platform, aligning architectural decisions with product strategy and guiding their implementation across teams Lead the design and delivery of complex, scalable systems and customer experiences, contributing hands-on in React, Next.js, and TypeScript or backend services in Go, while making meaningful contributions across the stack Identify and resolve ambiguous engineering problems spanning team or system boundaries, turning them into clear proposals, delivery plans, and measurable outcomes Own critical initiatives end-to-end, from discovery and technical specifications through implementation, instrumentation, deployment, monitoring, and iteration Partner with product, design, platform, and infrastructure teams to make informed tradeoffs across customer experience, accessibility, performance, security, reliability, and delivery speed Define architecture and integration patterns for frontend applications, backend APIs, and event-driven systems, with particular attention to correctness in markets, orders, and transactions Guide the design of experimentation capabilities, including feature flags and A/B tests, so teams can validate ideas quickly and safely Anticipate scaling constraints, reliability risks, and technical debt; build alignment on pragmatic improvements and drive them through to completion Raise engineering standards through design reviews, code reviews, testing strategies, observability, and safe deployment practices Mentor engineers and develop technical leaders, helping teams make sound decisions and solve problems independently Establish and evolve standards for AI-assisted development, including appropriate use cases, review expectations, security safeguards, and validation strategies Measure and improve engineering effectiveness, sharing tools and practices that increase delivery speed without compromising quality Lead through influence in an early-stage product environment, creating clarity, unblocking teams, and establishing ways of working that support growth Qualifications: Substantial experience building and operating highly scalable production systems, with demonstrated impact at Staff level or equivalent scope, including technical leadership across teams or major platform areas Deep expertise in either user-facing web applications built with JavaScript/TypeScript and React or backend services built with languages such as Go, Java, or Python, alongside the ability to reason across the full stack. If you're frontend-strong, you don't need to arrive fluent in Go, but you should be comfortable engaging with backend architecture and system tradeoffs A track record of setting technical direction and delivering complex initiatives from ambiguous requirements through to measurable production outcomes Strong architectural judgment, including the ability to assess tradeoffs, establish clear system boundaries, and evolve systems as product requirements and scale change Experience shaping React architecture, component-driven development, and modern state management using tools such as Next.js, TanStack Query, Tailwind, or Zustand; or deep backend experience with data modeling, distributed systems, and event-driven architecture using technologies such as Postgres and Kafka/PubSub Deep knowledge of your primary language's features, idioms, and best practices, with experience establishing standards adopted beyond your immediate team Strong understanding of performance, reliability, and security, including responsive design and accessibility on the frontend or scalability, observability, data integrity, and failure handling on the backend Experience defining API contracts and collaborating across product, platform, and infrastructure teams to deliver reliable systems Experience shaping CI/CD pipelines, testing strategies, and safe deployment practices across services or applications Demonstrated ability to lead through influence, build alignment across teams, and communicate technical decisions clearly to engineers and non-technical stakeholders A track record of mentoring engineers, strengthening technical decision-making, and increasing the effectiveness of others Demonstrated experience using AI tools such as Claude Code, Codex, Cursor, or Copilot to ship production code, with sound judgment about their limitations and appropriate validation Specific examples of improving development workflows, with evidence of their impact on delivery speed, quality, or engineering productivity A team-first approach, with the judgment to move between strategic technical work and hands-on delivery according to the needs of the product Ability to create clarity in a high-growth environment where priorities evolve and decisions must be made quickly Strong cross-functional collaboration skills, including experience aligning teams and navigating dependencies within large enterprise environments You don't need to tick every box — deep strength in one area, demonstrated technical leadership, and a willingness to learn go a long way. Preferred Qualifications: Previous experience shaping technical foundations in early-stage or high-growth startup environments Experience with real-money transaction systems, including financial correctness, auditability, and regulatory requirements Experience developing technical roadmaps or leading architectural changes adopted across multiple teams Background in building developer tools or improving engineering productivity at scale Experience establishing AI-assisted engineering practices across teams Contributions to open-source projects or the technical community BSc in Computer Science or a related field Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connections and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports trading? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com.   ABOUT YOU We are looking for a Junior Developer (AI Engineering) to join the Xsolla Partner Network (XPN) team, a platform that connects game studios and publishers with content creators. The position involves participation in all stages of work on an automated content generation system: from stabilising the existing vertical video pipeline for YouTube Shorts, TikTok and Instagram Reels to developing the agentic architecture, launching the virtual AI creator direction and building analytics on the results. Working with the team means applying cutting-edge generative models and agentic tools to a real production product every day, seeing the direct effect of your work in content metrics, and learning from the inside how the games industry, the creator economy and content-driven game promotion work. The developer will work with a live system that has a real audience and measurable results, make technical decisions independently, build expertise in generative AI and take on the role of the project's technical owner as it grows. Responsibilities Take over the existing vertical video generation pipeline (script → voiceover → visuals → subtitles → editing → auto-posting → tracking links) for YouTube Shorts, TikTok and Instagram Reels, understand it from the docs and code, and bring it to stable operation. Grow the pipeline: improve content quality and virality, scale up generation volume, reduce cost and turnaround time per video. Keep track of new generation models and services (video, image, voice, LLM), test them quickly and replace outdated parts of the pipeline with better or cheaper ones. Launch and develop the virtual AI creator direction: a consistent character, voice, style and content plan. Design and improve agents: write and debug prompts and sub-agent roles, validation between phases, context and cost control. Build a dashboard for running generation and tracking content analytics (views, clicks, conversions, cost per video). Automate publishing: platform integrations, posting from mobile devices, scaling channels. Write clean, testable, documented code, including unit and integration tests. Requirements Solid Python, basic bash. Hands-on experience with LLM APIs (Claude, OpenAI, etc.) and agentic pipelines: a real project, pet project or hackathon entry you can show and talk through. Experience using Claude Code, Cursor or similar tools as a working environment, not just as autocomplete. Understanding of prompt engineering basics: defining an agent's role, limiting context, getting stable structured output. Understanding of Git, team development and Docker basics. Ability to work with REST APIs and webhooks, basic understanding of databases (SQL). Understanding of vertical content: games, creators, streams, TikToks, Shorts, how video discovery works, what shadowbans are, how mobile posting farms are set up. A big plus if this is your hobby: your own channel, editing, streaming, experiments with AI generation. Ownership: the ability to take a task end to end and deliver a result without external supervision. Initiative: your own proposals on improving the pipeline, new models and automation, and the readiness to implement them yourself. Ability to figure out someone else's system from code and documentation, reconstruct the logic and ask the right questions. Independence in technical decisions and openness in communication: flag problems immediately. Product thinking: measuring results by content metrics (views, retention, clicks) and cost per video. Ability to explain the system's capabilities and limitations to non-technical colleagues. Experimental mindset: fast hypothesis testing and the willingness to drop what did not work. Desire to grow with the project: from stabilising the current pipeline to becoming its technical owner. English at the level of reading technical documentation (Intermediate+). Nice to have Experience with video and image generation via API ( fal.ai , Kling, Runway, Seedance, Nano Banana, etc.), TTS and speech recognition (Whisper and similar). ffmpeg: assembly, normalisation, subtitles, overlays. Experience building reliable calls to paid APIs: retries, idempotency, cost tracking. n8n or other workflow tools. Telegram bots, YouTube / TikTok / Instagram / Discord APIs. Android / mobile device automation. Supabase or PostgreSQL. Experience with GCP, Docker, Kubernetes. Observability and monitoring (Datadog, OpenTelemetry). Your own channel, pet projects, open-source experience or hackathon participation. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library No dress code Comfortable and new office environment The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to identify and reduce security risks across n8n's product and internal systems, using threat modelling, hands-on security expertise, and cross-functional collaboration to help teams design, build, and operate more secure systems. You'll join our growing security team at a pivotal stage, acting as a trusted security partner to teams across the business. You'll help us build a move from reactive security management to a proactive, scalable security practice. Here's what you'll be driving: THREAT MODELLING, RISK ASSESSMENT & SECURITY DESIGN - Conduct threat modelling and risk assessments across product features, AI agents, cloud infrastructure, corporate IT, internal applications, and data systems, identifying vulnerabilities and recommending practical mitigations. - Partner with Engineering, Cloud, IT, and Data teams to review security designs, define actionable security requirements, and influence the implementation of appropriate controls. - Help teams embed security into their development processes through secure coding guidance, design reviews, documentation, and security tooling that enables them to identify and address risks independently. VULNERABILITY MANAGEMENT & COORDINATED DISCLOSURE - Participate in the security triage rotation, assessing incoming vulnerability reports, validating findings, and prioritising remediation based on severity and business impact. - Collaborate with engineering teams to coordinate vulnerability remediation, verify fixes, and support secure patch and release processes. - Help manage our vulnerability disclosure and bug bounty programmes, including engagement with security researchers, coordinated disclosures, and GitHub Security Advisories. SECURITY OPERATIONS & INCIDENT READINESS - Help establish and improve logging, detection, and protective monitoring capabilities across our infrastructure, corporate systems, and internal applications. - Develop and improve incident response processes, runbooks, and exercises to strengthen our ability to detect, investigate, and respond to security incidents. - Work closely with system owners to identify security gaps, prioritise remediation, and verify that implemented controls effectively reduce risk. CUSTOMER TRUST & COMPLIANCE ENGINEERING - Support SOC 2 compliance by helping establish continuous control monitoring, automated evidence collection, and processes that make security assurance part of everyday operations. - Collaborate with Sales, Solutions Engineering, and Customer Success to respond to customer security assessments and build reusable resources that streamline future requests. - Partner with Legal, Finance, IT, and other stakeholders to assess security risks, improve security policies and controls, and strengthen trust with enterprise customers. We're hiring two Security Engineers with complementary strengths, so you don't need to be an expert in every security domain. REQUIREMENTS MUST-HAVES - 🔍 Threat Modelling & Risk Assessment: You have hands-on experience assessing real-world systems, identifying security risks, determining defensible severity levels, and recommending practical controls that teams can implement. - 🛠️ Technical Security Expertise: You can validate security findings, reproduce vulnerabilities, develop proof-of-concepts, and write code or automation when needed to demonstrate risks or improve security processes. - 🔐 Security Engineering Experience: You've worked hands-on in infrastructure, product, or application security within a product-focused organisation, with a strong understanding of how modern systems are designed and secured. - 🤝 Cross-functional Influence: You're comfortable acting as an internal security consultant, advising teams, challenging technical decisions constructively, and influencing stakeholders without direct authority. - 🎯 Risk Remediation & Ownership: You've helped secure systems you don't directly own, translating security findings into actionable requirements and working with responsible teams to ensure effective remediation. - 🤖 AI & LLM Fluency: You're comfortable using LLM-assisted tooling and understand its limitations, security implications, and potential failure modes. - ✍️ Clear Communication: You can explain complex security risks, document technical findings, and provide practical guidance that engineers and non-technical stakeholders can confidently act on. You also bring deep expertise in at least two of the following areas: - 💻 Application Security: You've developed security checks, engineering guardrails, tooling, or guidance that helps product teams build and ship secure software. - ☁️ Platform Security: You have experience securing a major cloud provider and Kubernetes environments, including areas such as sandboxing, multi-tenancy, or identity. - 🔑 Corporate Security: You've worked on identity and access management, endpoint security, employee access lifecycles, or data access controls across corporate environments. - 🚨 Security Monitoring: You've implemented logging, protective monitoring, or security detection capabilities that support effective investigation and incident response. - 📋 Security Assurance & Compliance: You've supported SOC 2 or ISO 27001 from an engineering perspective, including implementing technical controls or automating compliance evidence collection. NICE-TO-HAVES - 🐛 Vulnerability Disclosure: You've helped operate bug bounty or coordinated vulnerability disclosure programmes, including publishing security advisories such as GHSAs or CVEs. - 🧠 AI & Agent Security: You have experience assessing or securing LLM-powered applications and AI agents, including risks related to permissions, tool access, prompt injection, or sensitive data. - 🏢 Corporate IT Tooling: You're familiar with platforms such as Okta, Azure, or Drata and their role in securing corporate systems and supporting compliance. - 🌍 Open-source Ecosystems: You've worked with open-source or source-available products, contributed to security communities, or are already familiar with n8n. - 🎯 Penetration Testing: You have practical penetration testing experience and can independently identify, demonstrate, and help remediate security vulnerabilities. - 🌱 Early-stage Security Experience: You've been an early security hire or helped establish security practices in a startup or rapidly scaling organisation. Why join us? At n8n, you'll help shape security at a defining stage of our growth. We're building a security practice that goes beyond reacting to vulnerabilities, and you'll play a key role in how we identify risks, influence engineering decisions, and establish security practices that scale with the business. You'll work across a broad range of challenges, from securing AI-powered product features and our source-available automation platform to improving corporate security, strengthening incident readiness, and making compliance more automated. You'll have direct exposure to teams across the company, the opportunity to influence important technical decisions, and the autonomy to turn your expertise into measurable security improvements. Sound like a challenge you're excited to take on? Apply now — and help us build the future of secure automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Financial Planning and Analysis (FP&A), you'll lead finance for GitLab's Research & Development (R&D) organization, our largest operating expense area. You'll be the strategic finance partner to our Chief Technology Officer (CTO) and their leadership team, owning R&D planning, forecasting, and investment decisions. R&D builds our AI-powered development, security, and operations (DevSecOps) platform, which more than 100,000 organizations use. You'll connect investment in headcount, infrastructure, AI and cloud usage, and tooling to product outcomes, with clear measurement and reliable forecasts. You'll sit at the CTO's staff table, shape GitLab's long-range plan, and help leadership decide where to invest next, making R&D spend predictable. What you’ll do Serve as the finance advisor to the CTO and R&D leadership. Hold partners accountable for execution against plan and connect R&D priorities to company financial targets. Lead annual planning, and rolling forecasts for R&D. Own the operating plan across headcount, compensation, contractors, hosting and cloud, AI and large language model (LLM) costs, software, and tooling. Build frameworks that connect R&D investment to product roadmap outcomes. Evaluate business cases for new initiatives, AI capabilities, build-versus-buy decisions, and vendor commitments, and present risks and opportunities to leadership. Define and track R&D efficiency metrics, including R&D spend as a percentage of revenue, cost per engineer, hosting cost per user, and AI inference cost per feature. Identify large-scale savings and reallocation opportunities and see them through to completion. Partner with People and R&D leaders on hiring plans, location strategy, and organizational design. Keep headcount forecasts accurate and reconciled to actuals. Lead the AI transformation of R&D finance. Rethink planning, forecasting, and reporting workflows, and use AI tools to make them faster, more accurate, and more insightful. Redesign FP&A processes, policies, and planning and reporting systems for efficiency and effectiveness, with AI in the center. Work with Accounting on capitalized software, accruals, and allocations, and with Procurement on process improvements. Lead and develop your R&D finance team:: hire and coach team members, set goals and priorities, and give expert feedback. Put GitLab's values into practice through handbook-first, asynchronous collaboration across time zones. What you’ll bring Extensive finance experience, including serving as the lead finance partner to an R&D, Engineering, or Product organization plus experience leading a team of analysts A strong understanding of financial statements, accounting principles, and R&D cost drivers, including engineering headcount, cloud hosting, AI and LLM usage, software licenses, and capitalized software development. Experience leading process redesign and change in a finance team, including hands-on use of AI tools to improve how work gets done. Expertise in influencing senior technical stakeholders and translating complex analysis into clear recommendations for executives. Advanced financial modeling skills that follow industry best practices, expertise in Google Sheets, and hands-on experience with financial and data visualization tools. We don't use Excel for modeling. A bachelor's degree in Finance, Accounting, Economics, or a related field. Comfort working remotely and asynchronously, and the ability to use GitLab. Preferred experience includes enterprise software-as-a-service (SaaS) finance; direct CTO partnership; NetSuite, Sisense, Adaptive Planning, or SQL; or a Master of Business Administration (MBA), Chartered Financial Analyst (CFA), or Certified Public Accountant (CPA) qualification. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: London, Munich, Amsterdam, Paris, Lisbon About the Department The Specialist Solutions Engineering team at Cloudflare is a group of trusted technical advisors who partner with our customers to solve their most complex security and performance challenges. We work hand-in-hand with the sales organization to navigate the entire customer journey, from initial discovery and solution design to proof-of-concept and implementation. We are passionate about technology and dedicated to helping our customers understand and leverage the full power of Cloudflare's global network to achieve their business critical objectives. About the Role As a Senior Solutions Engineer Specialist, you will be a pivotal technical expert and strategic advisor, focusing on the Cloudflare One product suite. You will partner with our sales team and engage directly with our customers to architect and demonstrate how our SASE platform can solve their unique security, performance, and reliability needs. Your expertise will be crucial in guiding prospects through complex technical evaluations, ensuring they have the confidence to adopt Cloudflare as a core component of their IT and security infrastructure. This role requires a blend of deep technical curiosity, strong communication skills, and a genuine passion for helping customers transform their network and security architecture. Candidates are expected to actively use AI tools in their day-to-day life for research, preparation, automation, or customer engagement. Responsibilities Serve as a trusted technical advisor to our customers, helping them architect the optimal solution for their business needs using the Cloudflare One product suite. Stay at the forefront of AI-era security challenges by developing expertise in how enterprises govern and secure AI tool adoption, including Shadow AI visibility, data loss prevention for AI applications, MCP server access controls and Agentic AI Governance. Guide qualified prospects through the solution design and proof-of-value stages, effectively demonstrating the key capabilities and value of the Cloudflare One portfolio. Collaborate with sales partners to consistently achieve pipeline generation and revenue goals. Analyze customer IT landscapes and security requirements to develop robust architectures that support their strategic objectives. Clearly articulate the benefits and technical differentiators of the Cloudflare One product portfolio against competing solutions. Enhance customer retention by identifying, capturing, and communicating product gaps or feature requests to internal product and engineering teams. Collaborate with Product Teams by being the voice of our customers by sharing insights, trends, and product gaps to help shape the product suite and solution roadmap. Qualifications Successful candidates are curious, customer-focused, and have a passion for learning. We are looking for individuals with a strong background in technical sales or systems engineering who can effectively communicate complex concepts to both technical and executive audiences. Key Qualifications: 5+ years of experience in a customer-facing technical role such as Technical Sales, Solutions/Systems Engineering, or a related field. Active adoption of the use of AI tools in professional day to day workflows and knowledge on AI security concepts relevant to enterprise customers:  Securing employee AI tool usage,  Governing AI application access, and understanding the data leakage risks posed by generative AI tools Demonstrated experience presenting technical solutions and communicating the value of network and security transformation to senior-level executives. Deep understanding of the modern cybersecurity landscape, including common threats (e.g., malware, ransomware, phishing, botnets) and mitigation strategies. Fundamental knowledge of customer network and application architectures, including hybrid environments leveraging public clouds (Azure, AWS, GCP). Solid grasp of SASE concepts and Zero Trust networking architectures. Hands-on experience with one or more of the following: Secure Web Gateway (SWG), CASB, DLP, DNS security (including DNS over HTTPS), Identity Provider (IdP) integration (SAML, OTP), and SIEM/log analytics platforms. Desirable Skills, Knowledge, and Experience: Fluent in English (written & spoken), Russian and/or Hebrew Proficiency with networking fundamentals, including routing, subnetting, VPNs, and SD-WAN concepts. Understanding of AI agentic architecture and the security requirements and challenges in implementation at scale. Familiarity with client operating system fundamentals and software distribution methods. Knowledge of the competitive landscape for CDN, WAF, DDoS mitigation, and Zero Trust Network Access (ZTNA) solutions. Direct experience with Cloudflare's Zero Trust solutions (Access, Gateway, Browser Isolation) is a significant plus. Strong project management skills, with the ability to work to deadlines and prioritize effectively among competing goals. Compensation For Spain based hires: Estimated annual salary is between €79,000 - €124,000. For Germany based hires: Estimated annual salary is between €116,000 - €182,000. For Netherlands based hires: Estimated annual salary is between €111,000 - €174,000. For Portugal based hires: Estimated annual salary is between €74,000 - €117,000. For France based hires: Estimated annual salary is between €102,000 - €161,000. This role is labelled CSP Position 3-1 and has a coefficient of 170, as per the SYNTEC Collective Bargaining Agreement. Equity This role is eligible to participate in Cloudflare's equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We’re looking for a Machine Learning Engineering Manager to join us in London on a hybrid basis (3 days a week). In this role, you’ll lead the team that owns intelligence across our ordering experience, from store page and item selection through cart, upsell and checkout, plus bundling. Personalisation is one of the biggest levers we have to drive value to our customers, and your team will make the app feel less like a generic catalogue and more like one that understands what each customer is trying to do. What you’ll be doing Lead and develop a high-performing team of around 12 Machine Learning Engineers, distributed across multiple pods and spread across London, Finland and Berlin, fostering a culture of technical excellence, ownership and rapid experimentation. Own and evolve the ranking, recommendation and personalisation systems across ordering surfaces, helping customers find the right items quickly as our selection grows. Set the technical vision for the team’s ML ecosystem, balancing near-term product goals with longer-term bets on areas like on areas across recommendations to agentic approaches, and intent-aware experiences that adapt dynamically to how customers browse and act. Lead the unification of our recommendation models across brands (Deliveroo, Wolt and DoorDash) and markets, working out how to power personalisation at global scale while keeping it feeling hyperlocal, and how to balance reusable core models against surface-specific adaptations without ending up with a sprawl of models. Partner with Product, Data Science and neighbouring engineering teams to identify high-impact opportunities, define roadmaps and translate ambiguous business problems into ML solutions. Provide technical guidance on modelling approaches, ML system design and production architecture, stepping in to challenge modelling decisions where needed without becoming a bottleneck. Drive key marketplace metrics such as conversion and engagement, balancing velocity and scope against sustainable, long-term technical quality. Stay close to the code so you understand how your team actually works, and help evolve the AI-assisted engineering practices and tooling that empower the team. What you’ll need to thrive Proven experience line-managing ML Engineers, ideally 6 or more direct reports, with a track record of building high-performing teams, coaching engineers through career progression and managing a horizontally distributed team across multiple pods or workstreams. Significant experience building and deploying machine learning systems in production at scale, in areas like Recommendations, Personalisation, Search, Ranking or Information Retrieval. Strong stakeholder management across product, engineering and business functions, with experience working across multiple teams and geographies. A pragmatic, impact-focused mindset, prioritising outcomes and customer experience over theoretical perfection. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale - Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast - Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership - Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders - High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create - Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

About the role pdfFiller helps millions of customers create, edit, manage, sign and collaborate on documents digitally. We are looking for a Senior Product Marketing Manager who can connect what we build with why it matters to customers and how we win in the market. This is a senior individual contributor role with significant ownership across positioning, go-to-market strategy, product launches, customer and competitive intelligence, and sales enablement. We are looking for someone who is equally comfortable developing a positioning strategy, digging into customer and market data, partnering with Product on roadmap decisions, and giving GTM the tools and narratives they need to win. Задачи: — Own product positioning and messaging — Develop and continuously refine positioning, messaging and value propositions for pdfFiller across key customer segments and use cases. — Translate complex product capabilities, including AI-powered functionality, into clear customer benefits and compelling commercial narratives. — Ensure our positioning is differentiated, evidence-based and consistently reflected across the customer journey. — Lead go-to-market strategy — Own the product marketing strategy for major launches, new capabilities and strategic initiatives from early planning through adoption. — Define target audiences, use cases, value propositions, competitive differentiation, launch plans and success measures. — Partner with Product early in the development process so customer and market insight informs what we build, not simply how we market it after launch. — Develop deep customer and market insight — Build a strong understanding of pdfFiller customers, prospects, competitors and the broader document productivity market. — Conduct customer research, win/loss analysis, competitive analysis and market segmentation to identify opportunities and inform Product and GTM strategy. — Turn customer insight and market data into recommendations leaders can act on. — Drive adoption and commercial impact — Partner with Growth and Lifecycle Marketing to improve activation, adoption, conversion, retention and expansion. — Identify gaps between product capability and customer understanding and develop strategies to close them. — Use data to evaluate whether positioning, launches and campaigns are changing customer behavior and contributing to business outcomes. — Enable Sales and customer-facing teams — Create sales narratives, competitive intelligence, battlecards, customer stories, presentations and other enablement materials that help customer-facing teams communicate pdfFiller's value effectively. — Partner directly with Sales to understand objections, competitive pressure and customer needs and bring those insights back into Product and Marketing. — Shape product strategy — Represent the voice of the market in product discussions. — Partner with Product leaders to evaluate market opportunities, customer problems, competitive dynamics and potential areas of investment. — Help the organization answer not only "Can we build this?" but "Who is this for, what problem does it solve, and why will customers choose us?" Требования: — 6+ years of experience in consumer and B2B product marketing, preferably within software, productivity tools, document technology or a related technology category — Demonstrated ownership of product positioning, messaging and go-to-market strategy — Experience bringing new products or major capabilities to market — Strong understanding of SaaS customer journeys, including acquisition, activation, conversion, retention and expansion — Experience partnering closely with Product, Sales, Growth and other cross-functional teams — Strong customer research, market analysis and competitive intelligence capabilities — Ability to turn complex technology into simple, compelling customer value — Strong commercial judgment and comfort using data to make decisions — Excellent written and verbal communication skills in English — Ability to operate independently in a distributed, international organization Условия: — Flexible working environment: Work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries, with remote and hybrid options. — Competitive compensation and stock options: Salaries reflecting local market conditions and experience, plus a performance-based bonus system and stock options. — Professional growth and learning: Courses, conferences, learning resources, and support for career growth and internal mobility. — Health and well-being: Comprehensive country-specific benefits, including health coverage, wellness programmes and fitness options, plus quarterly company-wide Mental Health Days. — Family-friendly culture: Flexibility for parents, the airSlate Junior Club for kids, company-wide family days and a pet-friendly approach. — Giving back: Charitable initiatives through the airSlate Care programme, including humanitarian aid and matching employee donations. — Open communication: Transparent dialogue at all levels, including company-wide Q&A sessions with the CEO.

Location: Tokyo, Japan Location: Japan (Tokyo) Type: Contractor (12 months to start) Hours: 40 hours/week Role Summary: We’re looking for a contractor based in Japan to support the development and growth of OpenAI’s student community efforts in Japan and Korea. This role will focus on building strong relationships with students and campus communities, supporting locally relevant community activations, surfacing meaningful student stories and insights, and helping establish the foundations for sustained student engagement over time. About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Community team focuses on finding exceptional power users of our tools and turning real usage into stories and signals that shape both product direction and how the world understands OpenAI. We do that by learning directly from users, then working together to package up insights and use cases into formats that can travel: playbooks, webpages, launch assets, event series and clear “here’s how people actually use this” guidance. About the Role ChatGPT and OpenAI’s broader tools can help students learn, create, build and solve problems in new ways. But for many, discovering meaningful ways to use AI can still feel like navigating a black box without an instruction manual. The OpenAI community exists to bridge that gap by working directly with the people using our technology every day. Our role sits across three core areas: - Build direct relationships and channels with student leaders and their communities - Amplify how these cohorts are actually using AI, enabling peer-to-peer learning and accelerating adoption through real examples - Channel insights and feedback from these communities into our product and research teams Our current student engagements serve as a key entry point for building long-term relationships with students and priority campuses—helping us identify emerging power users and support growing communities through authentic, student-led engagement. The goal is for every participant to leave not only with an “I wonder if…,” but with the confidence to build with AI—and a community to learn alongside. This role will report to the Community Lead, APAC and work closely with cross-functional stakeholders and our external agency partner to support the growth of OpenAI’s student community efforts primarily in Japan,and selected engagement efforts in Korea. In this role, you will: - Support the development and growth of OpenAI’s student community efforts in Japan, with opportunities to support relevant engagement efforts in Korea - Identify, recruit, and onboard students to participate in our global OpenAI Student Collective program - Build partnerships with student clubs and campus communities to host Labs - Build and maintain strong relationships with students, hosts, and campus partners - Coordinate communications, scheduling, logistics, and event execution; resolve issues and remove blockers - Represent OpenAI on Campus - Develop and maintain dashboards and systems to track events, performance, and program scale - including student participation and event engagement. - Collaborate cross-functionally with internal teams to ensure alignment and follow-through. - Source, review, and curate stories and use cases across events and online communities - Publish progress updates and monthly recaps, highlighting key insights, risks, and opportunities - Collaborate with the Community team to improve, maintain community resources, including guides, templates and checklists. Qualification Must have: - 5 years experience building, managing or growing communities, ideally student or campus-based communities. - Excellent execution skills, with the ability to operate in ambiguous, fast-moving environments. - Ability to manage multiple workstreams at once, from onboarding and event coordination to story capture and reporting.. - Experience coordinating across multiple stakeholders and driving follow-through. - Strong communication skills and the ability to build trust quickly with students, partners and internal teams. - Comfort with tools like Slack, Google Docs / Sheets, Airtable or similar workflow systems. - Willingness to travel for student community activations across Japan, and occasionally Korea where relevant - Japanese language proficiency Bonus: - Active participation in tech and AI communities, with a strong understanding of how these ecosystems operate beyond top-line metrics - Strong interest in AI and familiarity with how the space is evolving, including emerging product and agent experiences. - Experience working with agencies and external partners. - Strong relationships with student communities, clubs or universities in Japan and Korea - Korean language proficiency