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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. On the Forecasting team, you will develop models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. Your work will connect supply and demand forecasting, audience availability, and response prediction to help advertisers compare alternatives and identify valuable opportunities. This is a hands-on role with end-to-end ownership of forecasting models and production capabilities. You will drive projects from problem formulation and technical design through evaluation, deployment, and iteration, working closely with engineers and cross-functional partners. What you’ll do Own forecasting and scenario modeling projects. Translate advertiser questions into modeling problems involving delivery, reach, performance, and investment tradeoffs. Develop technical approaches, make practical tradeoffs, and drive execution. Connect inventory, demand, and response. Use signals about available advertising opportunities, audience activity, marketplace competition, and predicted response to improve estimates of achievable campaign outcomes. Model outcomes under alternative choices. Build and improve models that estimate the effects of changes in budget, bid, audience, or optimization objective, accounting for relevant auction dynamics and campaign constraints. Help advertisers identify opportunity. Incorporate predictions from partner teams, including creative-performance estimates, to evaluate potential improvements in delivery, efficiency, or advertiser value. Improve model generalization. Develop approaches for sparse segments, cold start, seasonality, delayed feedback, and changing marketplace conditions. Choose methods that balance predictive quality, complexity, and production requirements. Build trustworthy evaluations. Measure forecast accuracy, calibration, uncertainty, and performance across advertiser cohorts. Document modeling assumptions and limitations, and work with partners to determine which scenario comparisons the evidence supports. Close the learning loop. Compare predictions with mature outcomes, investigate systematic errors, and use experiments and observed results to improve forecasts and validate scenario estimates. Deliver reliable production systems. Own training, inference, monitoring, and iteration for your models. Collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams; contribute to design and code reviews; and mentor engineers through project work. What we’re looking for Experience independently designing, shipping, and improving predictive ML systems in advertising, marketplaces, recommendations, search, forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience working with large-scale behavioral or transactional data. Practical experience in at least one relevant area, such as forecasting, response prediction, probabilistic modeling, multitask learning, or transfer learning. Sound evaluation judgment, including temporal validation, segment-level analysis, and an understanding of calibration, uncertainty, and the limits of predictions under changed conditions. Experience diagnosing and addressing modeling challenges such as sparse observations, cold start, seasonality, distribution shift, selection bias, or delayed labels. Strong programming and software engineering skills, including experience building and operating production ML pipelines and services. Demonstrated ability to turn ambiguous product questions into concrete technical plans, lead projects through rollout, and collaborate effectively across functions. Preferred experience Experience in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting, including time-series methods, hierarchical or global models, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, win-rate and price prediction, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or combining predictive models to estimate campaign outcomes. Reach and audience estimation: Population and overlap estimation, reach/frequency models, sampling correction, or saturation modeling. Probabilistic and response modeling: Quantile or distributional prediction, calibrated conversion/value prediction, or delayed-feedback modeling. What success looks like You independently deliver and operate forecasting capabilities that improve accuracy and calibration for priority advertiser populations. Your models support credible comparisons of campaign alternatives, have clear evaluation and monitoring, and help advertisers make better planning and investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Dallas, TX; Denver, CO; Fayetteville, AR; Joplin, MO; Kansas City, MO; Lincoln, NE; Little Rock, AR; North Kansas City, MO; Omaha, NE; Overland Park, KS; Phoenix, AZ; Springfield, MO; Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson offers its clients a full spectrum of water and wastewater services, including a complete line of planning, design, permitting, and construction phase services. Maintaining water quality is Olsson’s number one concern, and we are able to respond to a broad set of client demands in a timely and cost-effective manner. As a Technician on our Water/Wastewater team, you will perform standard techniques and procedures and apply knowledge of established methods, practices, and programs to prepare engineering and design plans. You will work closely with technical staff to find the best approach to solve engineering and design needs. You will work closely with other team members and engineers on wastewater collection and treatment projects, along with water supply, storage, treatment, and distribution. This can include sanitary sewer piping, wastewater pump stations, wastewater treatment facilities, water piping, water supply wells, water storage tanks, and water treatment facilities. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to contribute and work well on a team. Associate’s degree in drafting or related field preferred. 2-7 years of experience is preferred. Proficiency in MicroStation, AutoCAD Civil 3D and/or Revit. Solid interpersonal, problem-solving, and decision-making skills. #LI-DNP Actual compensation will vary based on factors such as experience, qualifications, geographic location, skills, education, and internal equity. Colorado Pay Range $29 — $45 USD Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: New York City; San Francisco Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Launch Principal , you will sit at the intersection of operational strategy and execution, launching a growing pipeline of new, complex services across markets. For each launch, you will serve as the leader of a transit network transformation; taking full ownership of the technology and operational transition, service performance, partner relationships, and a 30+ frontline team. You will be setting up Via's newest services in high-visibility markets that require building new operational systems from the ground up, not just managing existing ones. The decisions you make here will shape how the market runs for years. This is a unique leadership and operating opportunity for anyone who is eager to lead and launch  high-stakes, high-visibility, and high-impact new markets at Via.  The role is excellent for a generalist looking for exposure in strategy, operations and product/technology. This role requires a willingness to travel up to 30% of the time. About the Role: Launch & Service Performance Own and manage launch of new Via services, from technology implementation to operational setup Define and manage against KPIs spanning on-time performance, rider satisfaction, safety, and cost efficiency Translate weekly and monthly performance data into decisions People Leadership Lead a 30+ team of field operators and drivers during the launch transition, including hiring, coaching, performance management, and culture setting Build an operation where people feel accountable, supported, and proud of what they're delivering Hire, develop and train frontline leaders who will run the long-term operations Partner & Stakeholder Management Own Via's relationship with the transit agency partner, a public entity with its own board, elected officials, and community accountability Represent Via to community stakeholders, local officials, and riders Operational Excellence Drive continuous improvement across vehicle operations, maintenance protocols, and service delivery Identify and execute cost and efficiency improvements that strengthen margin without compromising service Product Development Influence the product roadmap for Via's newest product lines About You: Minimum of 5+ years of experience in operations, consulting, strategy, tech or a field with meaningful client accountability and a demonstrated ability to lead big projects and develop teams Ownership mentality: You get things done. You plan ahead, manage risks and design processes that prevent things from going wrong and, if they still do, you find what’s going wrong, own it, and fix it Leadership instinct and experience: You know how to motivate and inspire individuals, from drivers all the way to a transit agency’s CEO Effective at managing multiple tasks simultaneously: You can delegate, prioritize, and take responsibility. Attention to detail and operational judgment: No detail is too small, and nothing gets passed you. You're equally comfortable in a spreadsheet as in the field Partner and stakeholder sophistication: You know how to manage relationships that are complex, high-stakes, and not fully in your control Mission alignment that goes beyond the talking points: You embrace that Via's partners are public agencies serving communities that often don't have other options Flexible and adaptable: You love the challenge of adapting to change rapidly and making things work on the fly Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $120,000-$165,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Warsaw, Poland What is BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you? As part of Observability Engineering team you will be architecting and engineering mission-critical observability platform that allow our engineers, business and product teams to scale across numerous globally distributed environments. You'll work in a mature, resilient and secure operating environment where you-and the products you deliver-will thrive. In addition, you will help to evolve and transform the environment for the future to ensure it can leverage best in class cloud technologies and practices. You will be part of strategic change in tools and process by keeping up with the latest industry research and emerging technologies to ensure we are appropriately leveraging new techniques and capabilities.Consistently question assumptions, challenge the status quo, and strive for improvement. Champion data governance adoption and ensure the new modern architecture is designed with scalability and longevity in mind. What You’ll Do? You will design, build, and evolve the telemetry platform and instrumentation standards that enable reliable operations across Box’s globally distributed services. You will partner with service teams to implement effective observability across logs, metrics, traces, alerts, and SLOs. Ensuring telemetry is actionable, consistently contextualized, and tied to clear service ownership. You will make sound engineering tradeoffs around telemetry cardinality, sampling, retention, and cost to deliver scalable, high-signal observability. You will help define and promote OpenTelemetry-based instrumentation practices; equivalent distributed tracing and instrumentation experience is also valuable. You will improve observability as a developer and maintainer of systems and frameworks, helping teams reason about the health, performance, and reliability of their services. You will participate in our on-call rotation and help investigate, triage, and resolve production issues. Who You Are? We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to make faster, smarter decisions and increase your impact at Box You have 4+ years of experience using one of a higher level languages (Go, Rust, Python, Java, Scala, Javascript, Ruby, or PHP). You have experience with Infrastructure/configuration languages (all of): Terraform/HCL, Helm/YAML. You have experience with service observability best practices and tools, ideally OpenTelemetry and Prometheus , or comparable telemetry, tracing, and instrumentation platforms. You have hands-on experience with modern cloud technologies like GCP, AWS, or/and Kubernetes. You are a developer at heart with a passion to solve hard problems using innovative and data-driven solutions. You have experience in configuration and maintenance of applications such as web servers, load balancers, databases, storage systems, orchestration and/or observability platforms. You have experience in supporting critical production services. You act like an owner and strive to do work you're proud of, both technically and in your team interactions. At Box, we believe that providing the best tools leads to the best outcomes. That's why we equip our engineers with AI-powered development tools like Cursor IDE and Claude to help you write better code faster. BENEFITS Check out the overview of the benefits and additional perks offered at Box. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation". For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-EMEA #LI-NP1 #LI-hybrid

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure-as-code practices and modern cloud-native technologies. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Bonus skills & attributes Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large-scale SaaS environments and high-growth companies. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure-as-code practices and modern cloud-native technologies. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Bonus skills & attributes Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large-scale SaaS environments and high-growth companies. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠  You will... Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. Contribute to the development and training of bandit models and large-scale neural network models. Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group. Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects. Mentor team members, providing guidance and support in their professional development. Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅  You have... Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. Strong background in training and fine-tuning large models in an applied setting. Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. Excellent leadership and communication skills, with the ability to manage and inspire a team. Deep understanding of machine learning concepts, frameworks, and best practices. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $220,800 — $331,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Berlin Office; Iasi Office; London Office; Dublin Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Full-Stack Engineer to join our Platform team. About the role Our Engineering and Product Design teams are building multiple verticals on our platform at high speed, leveraging AI and building agentic functionality into the platform itself. As we scale into the world's largest regulated financial institutions, identity and access management (IAM), authorization, and fine-grained permissions have become foundational to our enterprise readiness. We are hiring a Full-Stack Engineer to join the team building Taktile's IAM and permissions platform: the authorization backbone that powers enterprise-grade access control across our product. Joining us, you'll design and build permission models and access controls end-to-end, from the React/TypeScript access-management and admin UIs down to the Python (FastAPI) authorization services. You'll take on the problems that make enterprise authorization genuinely hard: multi-tenant isolation, fine-grained permission checks in the hot path of millions of decisions a day, audit and access trails, and the constraints of regulated financial services. What You'll Do - Design, build, and operate core authorization primitives such as roles, policies, and fine-grained permission checks (RBAC/ReBAC), along with the authentication and SSO/OAuth/OIDC flows that sit on top of them. - Guarantee strict multi-tenant isolation so every customer's data and decisions stay fully segregated. - Keep fine-grained permission checks fast in the hot path of millions of automated decisions per day, where both latency and correctness are non-negotiable. - Build audit and access-trail capabilities that give customers and auditors a verifiable record of who accessed what, when, and why. - Design for regulated-industry constraints (financial services, SOC 2 / ISO 27001, data residency), where access control is a compliance requirement, not just a feature. - Leverage leading edge AI tools (e.g. Claude) on a daily basis to build industry-shaping AI-native capabilities. Requirement: - 5+ years of professional full-stack experience building backend services in Python (FastAPI or equivalent), including REST APIs and databases - Strong proficiency with React and TypeScript. - Experience building access control systems, with exposure to authentication and authorization concepts (RBAC, SSO, OAuth/OIDC, multi-tenant permissions). - Strong engineering fundamentals with a passion for simplicity and precision. - Experience integrating into AWS or similar cloud providers. - Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Nice, but not required - Deeper backend specialization (async patterns, performance tuning, data modeling). - DynamoDB or Postgres, SQLAlchemy. - Hands-on experience designing authorization systems at scale: fine-grained / ReBAC models, policy engines (OpenFGA or Zanzibar-style systems, OPA), or multi-tenant RBAC for enterprise SaaS. - Prior ops or on-call experience. Our Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Receive a new Apple MacBook Pro, as well as meaningful home office set-up. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art.6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art.6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: New York Workplace: OnSite Role You will be joining Taptap Send’s product team, with responsibility for the full-stack of product from product strategy (i.e., identify primary ideas for product improvement) to design (i.e., creating initial mocks; writing technical specs) and implementation (i.e., cross-functional project management and execution).   You’ll take product features from conception to implementation. Your role will be central to translating our customer and internal needs into a product roadmap, and then working with engineering to execute against it.   An ideal candidate will have experience owning a domain end to end, will obsess over customers/UX, and have experience working with AI/analytics tools. They will have a deep understanding of product management for consumer products, experience with immigrant communities, a passion for social change, and an ability to lead multiple stakeholders to execute projects. Responsibilities - Own a product domain and roadmap end to end - Responsible for product lifecycle of domain area, from discovery to delivery of features, including adoption and GTM - Coordinate across engineering, operations, compliance, markets, etc. to execute projects efficiently - Implement systems for iterative development with regular user feedback Requirements - At least 6 years’ experience working in product management, strategy, or operations for a tech company - Experience in fintech strongly preferred - Experience with immigrant communities and empathy for our customers - Strong analytical skills - Outstanding project management skills, including end-to-end problem ownership - UX design instincts - Experience with Figma or other prototyping tools a plus - Background or degree in a technical field a plus Also you are - Outgoing - you love speaking to people and enjoy building meaningful relationships - Execution Oriented - we have an ‘impact first’ philosophy and a lot to get done. You should be able to take an idea to implementation - Mission Oriented - you are passionate about working for a net positive organization / tech for good - Organized - you have a system for how you approach your work that can keep you on track in a scrappy startup environment - Driven - you thrive in a fast-paced, target-oriented company About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: Seattle, WA; San Francisco Bay Area Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence. If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you. _______________________________________________________________________ RESPONSIBILITIES - Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform - Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management - Develop high-performance APIs and control plane components for managing multi-tenant workloads - Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure - Collaborate with product, platform, and security teams to deliver customer-focused capabilities - Participate in architectural discussions, code reviews, and design documents - Contribute to automation and CI/CD improvements across the deployment pipeline - Debug and resolve production issues across distributed systems in cloud environments - Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of backend software engineering experience building large-scale cloud or distributed systems - Strong proficiency in Go and/or Java - Deep understanding of container orchestration, Kubernetes, and microservices architecture - Experience designing and operating highly available, secure, and observable production systems - Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns - Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling - Excellent problem-solving and debugging skills in distributed environments - Strong communication skills and ability to collaborate across remote, cross-functional teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED - Experience contributing to cloud-scale compute platforms or container infrastructure products - Knowledge of service mesh, networking, or policy enforcement systems - Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.) - Familiarity with security best practices for multi-tenant cloud systems - Prior experience in developer infrastructure, cloud platforms, or hyperscale environments Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required. Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions. Key Responsibilities: - Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation - Create cohesive data infrastructure that supports continuous parallel operation with model experimentation - Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation - Collaborate with the ML modeling team to align data capabilities with experimental needs - Maintain opinionated, well-documented solutions that become team standards - Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps Qualifications: - Extremely strong software engineering skills. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL) - Demonstrated ability to own complex technical projects from conception to deployment - Opinionated approach to technical architecture with ability to make principled decisions - Understanding of ML data requirements and the intersection of data engineering with modeling workflows Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: PL Workplace: remote Overview: SOFTSWISS continues to expand the team and is looking for a Senior Go Developer. We need a true, experienced and accomplished professional who shares our culture and values. About Product: Prediction Markets: The SOFTSWISS Prediction Markets Platform team develops a software solution that lets operators offer fixed-odds markets on real-world events. You’ll work with engineers, product specialists, and operations teams on market management tools, integrations, settlement workflows, and the platform capabilities behind them. The team builds reliable systems, adapts the product to regulatory and market requirements, and supports partners across multiple jurisdictions. Purpose of the role: You’ll design and build scalable backend solutions in Go, helping to shape the architecture of a high-load, business-critical system. You’ll collaborate closely with the team, contribute to strategic technical decisions, and ensure code quality through thoughtful reviews and clean, testable implementation. Your deep understanding of system internals, distributed architecture, and data integrity will drive reliability, performance, and long-term maintainability. Key Responsibilities: Collaborating within a team using the Scrum methodology and participating in planning your own workflow Engaging in architectural, infrastructure, and other strategic decision-making processes Conducting code reviews for other team members and documenting your own code Required Experience: 7+ years of professional software development experience At least 4 years of recent programming experience with Go as the primary language Hands-on experience with betting-related products is a must Strong understanding of Go internals: data structures, multithreading, memory management, garbage collection, etc. Experience with relational databases, including the ability to write and optimize complex SQL queries Solid knowledge of Linux and an understanding of containerization (we use Docker) Ability to write testable code and corresponding unit tests Experience working with Kafka and Kubernetes English – Intermediate Russian – Upper-Intermediate Nice to have: Experience in developing applications in finance or other fields where data integrity is a key requirement Understanding the principles of distributed applications and microservice architecture Familiarity with one or more modern approaches to back-end application design (e.g., DDD, Clean Architecture, Hexagonal Architecture) Experience with PostgreSQL and Clickhouse Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Задачи: — Ведение полного цикла разработки команды аналитиков и дата-инженеров — Сбор, анализ и формализация требований внутренних заказчиков — Управление сроками, рисками и устранение блокеров — Оптимизация процессов и мониторинг мотивации в команде — Помощь руководителям в управлении перформансом и постановке целей Требования: — Навыки управления кросс-функциональными командами в разработке от 5+ лет — Реальный опыт ведения AI/ML-проектов (LLM/RAG/агенты или классический ML/DS) — Техническая грамотность для диалога с разработчиками и дата-инженерами — Опыт организации полного цикла разработки: бэклог, сроки и риски — Навыки фасилитации командных встреч (Scrum, Kanban, ретроспективы) — Способность самостоятельно принимать решения и соблюдать сроки — Умение декомпозировать задачи в условиях неопределённости Плюсом: — Инженерный бэкграунд (разработка, дата-инженерия, system design) — Знание SQL — Опыт с LLM — Опыт в iGaming Условия: — Стабильная зарплата в EUR по ТК Кипра — Годовой бонус (13‑ая зарплата) — Корпоративное питание в офисе — Тимбилдинги и корпоративные мероприятия — Компенсация спорта и языковых курсов — Возможность релокации через 3 месяца — Оплата обучения и повышения квалификации — Прямое участие в стратегическом развитии компании — Чёткие процессы и профессиональный рост

Location: Warsaw Workplace: OnSite - Senior Electronics Engineer - Department: Engineering - Location: Warsaw, Poland - Reports to: Engineering Lead, AOCS Hardware - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO)   THE MISSION OF THE SENIOR ELECTRONICS ENGINEER You ensure that our AOCS system delivers reliable and consistent performance through innovative power electronics design and precision control systems. Beyond this, you will also have the opportunity to design other high-speed, high-power, and high-reliability electronics supporting ICEYE's growing constellation of diverse spacecraft. This role is within the Attitude and Orbit Control domain where we are responsible for developing and maintaining the power electronics and control systems that enable our AOCS capabilities. Your job will be to work closely with production teams, operations teams, and software teams to ensure smooth and performant operation of our propulsion systems in development and deployed environments. Expect to be involved in the complete lifecycle of the system - from design phases of next-generation propulsion architectures to maintenance and optimization of existing systems we and our customers operate. We move fast. At ICEYE, you are expected to understand the whole system - not just your slice of it - and to iterate quickly. Designs you work on today can be launching to orbit within months, not years. This is an environment where your decisions carry real weight and your work becomes tangible faster than almost anywhere else in the industry. You will have a direct impact on mission success as the performance and reliability of our AOCS electronics directly affect the operational capabilities we deliver to our customers and the overall performance of our fleet. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.     YOUR DAY-TO-DAY RESPONSIBILITIES: - Own the full design lifecycle of flight hardware - from first schematics and component selection through bring-up, functional and environmental testing, launch, and on-orbit operations - creating a tight learning and improvement loop at every stage - Develop a deep understanding of the complete AOCS system, including the interplay between power electronics, control systems, and the spacecraft subsystems they drive - Lead the design of power electronics and control electronics for AOCS hardware, including power conversion, distribution, and precision control circuits - Design and optimize power electronics for efficiency, thermal management, and performance across all operational environments - Develop precision analog and data acquisition circuits for power measurement, voltage/current monitoring, signal conditioning, and feedback control - Troubleshoot and resolve issues across the full lifecycle - design, prototyping, manufacturing, field operation, and on-orbit anomalies - Work closely with firmware engineers, FPGA engineers, software developers, and mechanical and thermal engineers to ensure seamless integration - Mentor junior engineers to continuously raise the bar on design and testing practices WHAT WE’RE LOOKING FOR: MUST HAVES: - MSc in Electrical Engineering, Electronics Engineering, or related field with 5+ years of professional experience in high-voltage electronics - Proven expertise in high-voltage electronics (250V+) design, high-voltage topologies, switching architectures, power management, and low-noise power supply design - Advanced analog circuit design: precision measurement, sensor interface and signal conditioning, low-noise amplifier design, and transimpedance circuits - Advanced proficiency with circuit simulation and PCB design tools like, LTSpice and Altium. - Understanding of high-speed signal design: signal integrity, timing analysis, and EMI/EMC principles for noise mitigation in high-voltage switching environments - Experience designing embedded control hardware for power electronics: microcontroller interfaces (ADC, PWM, GPIO), protection circuits (overcurrent/overvoltage detection), fault handling, and safe-state transitions - Experience designing serial communication hardware (RS485, UART) with proper isolation, impedance matching, and protection - Ability to work closely with firmware engineers to define hardware interfaces, protection circuits, telemetry acquisition and develop joint verification test cases - Excellent communication skills and ability to work effectively across multidisciplinary teams NICE TO HAVES: - Hands-on experience with environmental testing (vibration, thermal, radiation, vacuum) and harsh operating conditions - Fundamental understanding of control systems, feedback loops, and closed-loop circuit design - Experience designing solenoid valve driver circuits for high-current on/off switching, including flyback protection and inductive load management - Experience with wide-bandgap semiconductor technologies (GaN, SiC MOSFETs) - Experience with design for manufacturability (DFM) and cost optimization - Proficiency in programming languages (C, Python) for firmware integration or hardware characterization     APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com

Location: Remote About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is building one of the world's leading AI infrastructure and cloud platforms. We are looking for a Pricing & Monetization Lead to define how Nebius monetizes its infrastructure, products, and capacity. This role owns the company's pricing strategy, monetization frameworks, discount governance, and pricing decision-making. Working at the intersection of Strategy, Finance, Infrastructure, Product, and Sales, you will ensure that pricing decisions support long-term growth, capacity utilization, and profitability objectives. You will partner closely with Unit Economics, Market Intelligence & Packaging, Deal Desk, and Finance teams to build a scalable pricing system capable of supporting rapid growth and increasingly complex commercial decisions. Your responsibilities will include: Pricing Strategy & Frameworks • Own company-wide pricing strategy across GPU infrastructure, Cloud products, Token Factory and all future offerings. • Define and maintain list pricing, pricing tiers, commitment pricing structures, and regional pricing approaches. • Ensure pricing frameworks remain aligned with business strategy, capacity availability, profitability targets and SOX procedures. Monetization & Unit Economics Translation • Translate unit economics and margin objectives into commercial pricing decisions. • Partner with Unit Economics team to define pricing floors, establish target margin ranges, and evaluate profitability by SKU, region, and customer segment. • Balance revenue growth, margin performance, and capacity utilization. • Support monetization decisions for new products, infrastructure, and commercial models. Discount Governance & Commercial Policy • Own Nebius discount framework and approval logic. • Define discount matrixes, pricing guardrails, approval thresholds, and escalation criteria. • Ensure consistent application of pricing rules across all commercial teams. Pricing Performance Management • Monitor realized pricing, discount trends, margin realization, and pricing compliance. • Identify pricing leakage and monetization opportunities. • Lead regular pricing review forums with stakeholders. We expect you to have: • 7–12 years in Pricing, Monetization, Revenue Strategy, Commercial Finance, or Corporate Strategy. • Experience in Cloud Infrastructure, AI Infrastructure, SaaS, Telecom, or Marketplace businesses. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: European Union Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice . What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: ES - Barcelona, Spain Scopely is seeking a highly motivated Engineering Manager (Unity) to join our Playgami team in Barcelona on a hybrid basis! Playgami is Scopely's internal technology platform that powers some of the world's most successful live games. Our products help game teams operate and scale their games, serve millions of daily players, and process the vast amount of data generated across the Scopely ecosystem. As an Engineering Manager, you will lead a team of engineers building the SDKs and tools that enable game teams to deliver exceptional player experiences. You will play a key role in shaping both the technical direction of our products and the growth of the engineers on your team. What You’ll Do Lead, mentor, and grow a team of Software Engineers, including hiring, coaching, and career development Foster a culture of collaboration, accountability, continuous improvement, and engineering excellence Guide the design, architecture, and implementation of features that power world-class games at scale Own the technical quality and delivery of what the team creates, establishing good practices in software development, infrastructure, and distributed systems Ensure our systems are reliable, secure, bug-free, and highly performant Drive a consistent developer experience through well-designed APIs, straightforward integration, and clear upgrade paths Work closely with leadership, product managers, and other engineers to align on goals and execution strategies Manage compatibility across supported Unity versions and platforms, balancing new capabilities with backward compatibility and long-term maintainability Share knowledge, provide feedback, and help colleagues both inside and outside of your team What We’re Looking For Proven experience managing software engineering teams, including hiring, performance management, coaching, and career development Strong leadership skills with a track record of building high-performing engineering teams Excellent written and verbal English communication skills Extensive software development experience, including strong proficiency in C# and practical experience with Unity Strong software design skills, with an understanding of API design, modular architecture, and maintainability Experience building and maintaining SDKs, libraries, frameworks, or shared components used by other engineering teams An understanding of client-side performance, memory management, and debugging complex integration issues A passion for solving complex problems and translating business needs into robust solutions An appreciation for both business context and technical excellence in solution development A collaborative, team-oriented attitude, taking pride in contributing to high-functioning teams Nice to have Familiarity with the gaming industry, live operations, or game development ecosystems Experience developing or integrating native plugins for iOS and Android, including familiarity with the interaction between Unity and native code Experience with or an interest in other game engines, such as Unreal Engine and Godot Experience with SDK versioning, dependency management, distribution, and automated build and release pipelines Experience with SDK diagnostics, crash analysis, and monitoring SDK health across games and devices About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Melbourne, Australia About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Minimum qualifications: Bachelor's degree or equivalent practical experience. 7+ years of experience meeting or exceeding quotas selling technical solutions and enterprise software products. Experience executing complex enterprise sales cycles using structured methodologies (e.g., MEDDPICC, consultative selling, or value selling). Experience presenting to and managing relationships with C-level executives. Ability to communicate effectively across both business and technical stakeholders. Preferred qualifications: Experience selling SaaS, data platforms, information management tools, data science/warehousing, AI/ML, or related fields. Experience with commercial open-source software (COSS) business models, including selling subscriptions for on-premise, hybrid, and cloud deployments. Deep knowledge of the broader data landscape, including cloud provider ecosystems (AWS, Google Cloud, Azure), ETL, and Generative AI integrations. Proven track record in a agile, high-growth software environment, effectively leveraging dedicated cross-functional resources (BDRs, Field Marketing, Pre-Sales). Strong conviction and architectural understanding of where graph solutions deliver distinct competitive advantages over alternative database approaches. About the job As a Senior Account Executive, you'll play a key role in driving Neo4j's growth in Australia by helping organisations unlock the value of AI. You will serve as a strategic advisor to enterprise organisations, demonstrating how Neo4j makes AI more reliable, trustworthy, and accurate. In this role, you will own and drive complex sales cycles from initial land to strategic expand, aligning technical capabilities with high-value business outcomes. You will blend enterprise sales strategy, market knowledge, and ecosystem collaboration to establish Neo4j as a mission-critical partner in their AI journey. Neo4j is the world leader in graph intelligence technology, helping organisations capture real-world context to drive choices for applications like artificial intelligence, fraud detection, and recommendation engines. We deliver enterprise-grade solutions that enable organisations to unlock the value of their AI investments. Customers across the globe turn to Neo4j as their trusted partner to solve their most critical data problems and accelerate AI transformation. Responsibilities Develop and execute a comprehensive territory and account plan to build a robust pipeline, consistently meeting or exceeding quarterly and annual sales metrics. Execute end-to-end, value-driven enterprise sales cycles, employing "Land & Expand" strategies to scale Neo4j adoption within target accounts. Orchestrate cross-functional teams - providing clear direction and guidance to assigned Business Development Representatives, Field Marketing, and Channel Directors - to optimise pipeline development and partner ecosystems. Partner closely with Pre-Sales Engineering resources to scope, qualify, and deliver impactful Proof of Concepts (POCs) and technical proposals that secure customer buy-in. Foster and leverage strategic co-sell relationships with local public cloud partners, including AWS, Google Cloud, and Microsoft Azure. Maintain rigorous CRM hygiene within Salesforce.com, ensuring accurate pipeline data, reporting, and forecasting in alignment with corporate guidelines. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.