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Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring in the US. We're building a creative platform used by artists, filmmakers, and teams at some of the world's most recognized brands. Our support org handles everything from a five-minute billing question to a technical escalation, and we're building out a dedicated tier for the first kind so our more experienced specialists can focus on the second. We're looking for a Support Representative who's accurate, fast, and comfortable following a process closely under volume. No creative or AI background required. We'll train you on the product. WHAT YOU’LL DO - Resolve high-volume, tickets across account access, billing, and plan questions for Free, Standard, and Pro and Max users - Use existing macros, playbooks, and AI support layer suggestions to close tickets accurately and quickly - Recognize when a ticket needs product judgment or creative-tool troubleshooting, and route it to Tier 2 Support or Enterprise - Flag recurring questions that don't have a macro yet WHAT YOU’LL NEED - Clear, accurate written communication, especially on process-driven, checklist-style work - Comfortable with repetitive, high-volume work without losing accuracy - Prior experience with tools like Zendesk, Notion, or Slack is a plus, not a requirement - 0-2 years in any customer-facing or process-driven role (preferably in SaaS, but not required) - Enough curiosity to spend a little time in the product or help docs before talking to us. No creative background needed, just evidence you looked WHAT SETS GREAT CANDIDATES APART The best people in this role follow the playbook precisely and know exactly when a ticket doesn't fit it. They don't force a wrong answer to hit volume, and they don't escalate everything out of caution either. They've put in enough time with Runway to have a real sense of what it does and who uses it, so a ticket that's slightly off-script doesn't stump them, even without a creative background. When they see the same question surface three times, they ask whether it should become a macro instead of just answering it a third time. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Fort Meade, MD, United States Job Title UX/UI Designer 2 Why IDS? IDS believes in resolving conflict and building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors' solutions for a diverse range of government, military, nonprofit, and public-sector clients. Location Fort Meade, MD Job Description IDS is seeking an experienced UX/UI Designer, for ADG Creative, an IDS subsidiary, to support the design and delivery of user-centered solutions for complex government and intelligence community systems. This role is responsible for creating intuitive user experiences, conducting user research, developing wireframes and prototypes, and ensuring design consistency across multiple products and platforms. The ideal candidate will be passionate about Human-Centered Design and experienced in translating user needs into innovative, mission-focused solutions. Key Duties Implement UX strategy and vision across a large product portfolio, ensuring a consistent and high-quality user experience. Maintain and evolve a comprehensive design system to drive consistency, scalability, and efficiency across multiple products. Support design activities, including stakeholder workshops, design sprints, and collaborative design sessions. Conduct and support user research efforts to better understand user workflows, pain points, and operational requirements. Create user journey maps, information architecture, wireframes, mockups, and high-fidelity prototypes. Advocate for end users and ensure their needs are reflected throughout the design and development process. Apply Human-Centered Design (HCD) methodologies within Agile and SAFe development environments. Collaborate closely with product managers, developers, engineers, and stakeholders to deliver effective solutions. Present design concepts and recommendations to stakeholders and leadership. Contribute to continuous improvement of UX processes, standards, and best practices. Support usability testing efforts and incorporate findings into design refinements. Perform other duties as assigned. Requirements Bachelor’s degree in a related field. Minimum of 7 years of professional UX/UI design experience. Active TS/SCI clearance with Full Scope Polygraph required. Strong portfolio demonstrating UX/UI design expertise required. Deep expertise in Human-Centered Design (HCD) principles and methodologies. Demonstrated experience translating user research into actionable design decisions. Experience designing complex, data-rich systems and workflows. Experience working within Agile and/or SAFe software development environments. Strong proficiency with industry-standard design and prototyping tools, including: Figma Sketch Adobe Creative Suite Excellent communication, collaboration, and presentation skills. Preferred Qualifications NN/g UX Master Certification. Certified Usability Analyst (CUA) certification. Experience designing solutions for Department of Defense (DoD), Intelligence Community (IC), or other regulated environments. Previous experience supporting a SETA contract environment. Experience facilitating design thinking workshops and design sprints. Clearance Active TS/SCI with Full Scope Polygraph required. Additional Requirements Portfolio submission required. Ability to work collaboratively with cross-functional teams and stakeholders. Strong focus on usability, accessibility, and user-centered design principles.

Location: Fort Meade, MD, United States Job Title UX/UI Designer 3 Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Location Fort Meade, MD Job Description IDS is seeking an experienced UX/UI Designer 3, for ADG Creative, an IDS subsidiary, to lead user experience strategy and design efforts supporting complex government and intelligence community programs. This role is responsible for defining UX vision, mentoring design teams, leading user-centered design initiatives, and creating innovative solutions that improve user workflows and mission effectiveness. The ideal candidate brings deep expertise in Human-Centered Design, experience with data-heavy operational systems, and a strong ability to guide UX efforts across multiple products and stakeholders. Key Duties Lead, manage, and mentor a team of UX designers, providing design direction and fostering professional growth. Define and communicate UX strategy and vision across a large portfolio, ensuring a consistent and high-quality user experience. Develop and maintain a comprehensive design system to drive consistency, scalability, and efficiency across multiple products. Facilitate design activities, including workshops and design sprints, to improve collaboration between designers, product managers, and engineers. Lead user research efforts, create user journey maps, and design wireframes and high-fidelity prototypes for complex operational challenges. Serve as the primary advocate for end users, ensuring their workflows, pain points, and needs are fully understood and addressed. Define and refine UX design processes while integrating Human-Centered Design principles into Agile development environments. Collaborate with stakeholders, technical teams, and leadership to develop effective design solutions. Present design recommendations and communicate UX best practices across the organization. Other duties as assigned. Requirements Bachelor’s degree in a related field. Minimum of 10 years of relevant UX/UI design experience. Active TS/SCI clearance with Full Scope Polygraph required. Strong portfolio demonstrating UX/UI design expertise required. Deep expertise in Human-Centered Design (HCD) principles and methodologies. Demonstrated ability to translate user research into actionable design decisions. Experience working within Agile and/or SAFe development environments. Mastery of industry-standard design and prototyping tools, including Figma, Sketch, and Adobe Creative Suite. Preferred Qualifications NN/g UX Master Certification. Certified Usability Analyst (CUA) certification. Experience designing solutions for Department of Defense (DoD), Intelligence Community (IC), or other highly regulated environments. Experience supporting SETA contracts. Prior experience leading UX teams and enterprise-level design initiatives. Clearance Active TS/SCI with Full Scope Polygraph required. Additional Requirements Portfolio submission required.

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI committed to giving embedded evaluators an unprecedented level of access.  Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  As a fundamental researcher, your ground-breaking discoveries will make our embedded evaluations better. For example, our fundamental science team's paper “Measuring Reward-Seeking via Contrastive Belief Updates” can be adapted by embedded evaluators. We want more breakthroughs like this. We are also developing a “Science of Scheming”. The goal is ambitious and we’re looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. KEY RESPONSIBILITIES Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long-term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. Deeply study the RL dynamics that lead to the emergence of reward-seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. Work towards “Scaling laws of scheming”. Build the empirical foundations to predict how scheming risks evolve as models scale in capability. Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note:  We are not hiring for interpretability roles. KEY REQUIREMENTS Fast-paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Conceptual thinking and writing : You are familiar with prior work on AI scheming, from classic literature like Is Power-Seeking AI an Existential Risk? to modern research.  You have done enough deep thinking about the problem to generate some original ideas. Given vague and underspecified concepts, you come up with clarifying insights, clever ideas for experiments, and detailed plans. To explain your work, you can produce high-quality scientific writing, figures, blog posts, microsites, and tweet threads. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL-training LLMs: You have hands-on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Project management experience: We are rapidly growing while executing high-quality research projects as fast as possible. You have previously managed strong ICs and can keep research projects on schedule despite unexpected delays or surprising experiment results. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don’t require a formal background or industry experience and welcome self-taught candidates. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the fundamental science team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the fundamental science team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest looking at one of our papers or blog posts published in the last 12 months. Then either (a) replicate/extend the result hands-on, or (b) identify a conceptual limitation and write a shovel-ready project plan that would address it. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI publicly committed to giving embedded evaluators an unprecedented level of access. Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  Apollo has taken steps toward becoming an embedded evaluator at frontier labs. We want to hire experienced senior researchers with a strong track record of getting things done to execute our embeddedevaluationplans. KEY RESPONSIBILITIES If embedded evaluations happen, you will be on one of the following teams: On-site embedded evaluators: This team will spend weeks or months embedded at a frontier AI lab, where they will conduct interviews, review the lab’s evidence, gather new evidence, and write a report. They will execute a playbook quickly and adapt to unforeseen circumstances. We hold our embedded evaluators to the highest standards, so you will likely have to first prove yourself within Apollo before being sent into an embedded campaign. That is, you will probably start on the applied research team to gain context on embedded evaluations. For this team, we prefer candidates with the right to work in the US who can be based in San Francisco. Applied researchers: This team will be the force-multiplier behind embedded evaluations. They will prepare on-site evaluators before they are embedded and support them while they are embedded. They will do the conceptual work to determine what evidence would support a safety case, and write the playbook for on-site evaluators to optimize how fast they can gather evidence. They will develop tooling for embedded evaluators, both ahead-of-time and urgently on demand. They will be the bridge connecting fundamental research and the on-site evaluators. For example, they might convert the methodology of “Measuring Reward-Seeking via Contrastive Belief Updates” into turnkey code and procedures. This team can work from any of our offices. Both are high-stakes teams. On-site embedded evaluators should be exceptionally strong at quick execution under high pressure, and very strong at planning and research. Applied researchers should be exceptionally strong at planning and research, and very strong at quick execution under high pressure. For both teams, we are excited for experienced candidates who have owned ambitious projects end-to-end under tight deadlines. KEY REQUIREMENTS We don’t require a formal background or industry experience and welcome self-taught candidates. We assess demonstrated ability, including through independent research and nontraditional paths; prior formal management titles are not required. Technical safety research judgment: You have a strong track record of producing or leading technically rigorous research relevant to understanding and reducing risks from advanced AI. Your background might include alignment, interpretability, model evaluations, control, adversarial ML, or post-training. You understand modern model training well enough to interrogate a lab’s methods and learn unfamiliar pipelines quickly. Deep experience with frontier RL or post-training is valuable but not required. Research leadership and delivery: You have led ambitious technical projects end-to-end under hard deadlines and managed or closely supervised strong individual contributors (ICs). You can set research priorities, delegate meaningful ownership, review technical work, and keep a team focused on the questions that matter most. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors. Writing for high-stakes audiences: You have experience writing about qualitative and quantitative findings for different stakeholders. You can take a pile of unorganized technical information and communicate it effectively to lab safety teams, lab leadership, governments, or the public. Strong understanding of scheming: You have a strong conceptual understanding of ideas like metagaming, evaluation awareness, deception, and reward-seeking. You are familiar with classic literature like Is Power-Seeking AI an Existential Risk? and modern research. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Professionalism: You can represent Apollo independently in sustained, high-stakes technical collaborations.  Your professional conduct is unimpeachable. You know when to tactfully resolve disagreements with partners and when to stand firm in negotiations, and you are excellent at both of those. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Prior embedded expertise: You have previous experience in professional services like auditing or consulting. You’ve learned lessons from working on-site with clients that will generalize to working with frontier AI labs. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We prefer on-site embedded evaluators to be permanently located in San Francisco. Applied researchers can work from any of our offices. We offer flexible working hours and WFH arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the science of scheming team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the science of scheming team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.  How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest (a) thinking about what embedded evaluators should investigate, (b) building a tool that would be useful for embedded evaluators and running it on suitable proxy data, and/or (c) writing a report based on mock findings.  Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Content Strategy Lead for Executive Programs, you will own what Anthropic brings to the table when we sit down with senior leaders from our most strategic customers. That covers Executive Briefings, Customer Advisory Boards, Executive Councils, and the other small-room gatherings where a C-level audience meets with our leaders, product teams, and researchers. You will set the content strategy across these programs, build the library of modules and the bench of speakers, and lead the team that keeps our content fresh as our models and products evolve. This role works cross-functionally with Product & Solutions Marketing, who owns positioning and messaging across industries and products, and customer programs which owns each program's operations, intake, and customer experience. You own the layer in between: turning Anthropic's product, research, and policy story into sessions built for an executive audience, deciding who is best placed to deliver them, and designing interactive formats and demos that work for customers building on the frontier. The right candidate has a product marketing or narrative background, has built content for C-level customer audiences at an enterprise technology company, and has managed a team. Key responsibilities Set and execute the content strategy across Executive Briefings, Customer Advisory Boards, Executive Councils, and other gatherings of strategic customers: the themes for the year, the narrative that connects them, and how content differs by program, audience, and purpose. Build and maintain an evergreen library of content modules that program leads and account teams can assemble into an agenda without starting from scratch. Modules span product and roadmap, research, safety and policy, industry and use-case sessions, demos, and discussion guides. Keep the library current. Set a refresh cadence tied to model and product launches, retire what is stale, maintain a pipeline of net-new content modules, and make sure nothing in front of a customer executive is out of date. Identify, recruit, develop and certify speakers from Anthropic's executive, product, research, and go-to-market teams. Maintain the cross-program roster, shape each speaker's session, and prepare them for the room. Design the experience, not only the presentation. Choose the format that fits the audience and the goal, whether that is a working session, a live demo, a conversation with a researcher, or a peer discussion among customers. Partner with program leads on agendas for the highest-priority engagements, tailoring modules to the customer's objectives. Set the standards and templates that let every other engagement meet the same bar. Work with Product & Solutions Marketing, Product, and Research so that executive-level content is ready when a launch happens, not weeks after. Capture what customers say in these rooms, including themes, objections, and requests. Route it to Product, Research, Marketing, and go-to-market leadership, and use it to improve the content. Measure what works, including session feedback, module usage, and speaker performance, and work with program leads to connect content to program outcomes. Hire, manage, and develop the team responsible for executive program content, and set its quality bar. Use Claude to scale the work: build workflows that tailor modules to a customer's industry and priorities so a customized session does not require a rebuild. Minimum qualifications Built content for C-level customer audiences in executive briefings, advisory boards, executive councils, or similar programs. Built a content system that other people rely on, such as a module library, a session catalog, or a speaker program, and kept it current through frequent product change. The technical fluency to work directly with researchers and engineers, understand what they have built, and explain it accurately to a business executive. Experience coaching senior executives and technical experts as speakers, including giving direct feedback on their material. Judgment about format: you know when a room needs a presentation, a demo, or a facilitated discussion, and you can design each one. Experience managing people, including hiring and developing a team. A high bar for writing. You can draft an executive session narrative yourself and improve one written by someone else. Genuine interest in AI and in helping the world's largest enterprises adopt it responsibly. Preferred qualifications 12+ years in product marketing, executive content, or executive customer programs at a B2B technology company. You have owned positioning and messaging for a technical product and know how to adapt it for different audiences. Experience at a company where the product changes quickly and content has a short shelf life. Hands-on experience using AI tools to produce or tailor content. Experience facilitating executive discussions, not only preparing others to lead them. Worked with customers in regulated industries such as financial services, healthcare, or the public sector. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (US) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team As a Product Designer on Growth, you’ll turn ambitious ideas into meaningful experiences that move the business forward. More than 4 million Canadians trust Wealthsimple with their money. Your job is to grow that number by designing the experiences that turn clients into our biggest advocates. You’ll partner with Product, Engineering and Marketing to rethink our referral strategy, support our highest visibility campaigns, and lead 0 to 1 social features from the ground up. You'll help define and lead our entire growth domain, rethink how people discover and share Wealthsimple, and create experiences that make our products more valuable as our community grows. It’s an opportunity to shape a brand new product area, move fast, and turn great ideas into measurable impact. What you’ll do - Build the loops that fuel growth. Design experiences that turn discovery into acquisition, engagement into advocacy, and happy clients into our strongest growth channel, driving new clients and net deposits. - Help define Social at Wealthsimple. Explore and shape new ways for people to connect with their financial lives, from profiles and discovery to creators and sharing investing activity. - Reinvent referrals. Rethink how people invite others to Wealthsimple, including seamless, real-world experiences like QR-based invites. - Make big ideas tangible. Shape high-visibility campaigns like Monthly Millionaire and Match, creating experiences that reach millions of Canadians and give people a reason to engage. - Experiment your way to impact. Prototype, launch, measure, learn, and iterate. Know when to double down, when to pivot, and when to move on. - Own the experience end-to-end. Move fluidly from discovery and strategy to interaction design, polished visuals, and thoughtful micro-interactions. - Shape what we build next. Partner closely with Product and Engineering to turn ambiguous problems into clear opportunities, influence roadmaps, and bring ambitious ideas to life. Skills you bring - Growth design experience. You’ve designed consumer experiences across acquisition, activation, engagement, or retention, and can point to the impact your work made. - An experimentation mindset. You’re comfortable with A/B testing, funnels, and product metrics. You use data to sharpen your instincts, challenge assumptions, and make better decisions. - A point of view on social. You’re curious about what makes products engaging, shareable, and trustworthy, and understand how social experiences can create sustainable growth. - Exceptional product craft. You bring strong UX and visual design skills, particularly in consumer mobile experiences, and care about the details that make a product feel intuitive and delightful. - A bias for action. You’re comfortable with ambiguity, move quickly without sacrificing quality, and would rather test a thoughtful idea than debate it endlessly. - Strong collaboration skills. You communicate clearly, work naturally with Product, Engineering, and Marketing, and can bring others along with your thinking. - Curiosity about money. You’re interested in how people think about, interact with, and build wealth, and want to make that experience better. Depending on your level - Senior Product Designer: You’ve independently led high-impact growth initiatives from problem definition through launch and iteration, balancing strong craft with measurable outcomes. - Staff Product Designer: You’ve led complex, ambiguous initiatives, established direction for new product areas, and influenced product strategy and roadmaps across teams. Apply with a portfolio that shows: - Growth experiences you’ve designed and the metrics they moved. - How you navigate ambiguity, identify the right problem, and make design decisions. - How you translate a strong product idea into an intuitive and polished experience. - How you use AI. From shipping your own code changes to prototyping and research. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts.  The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Commercial SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located in Minnesota, Wisconsin, Chicago, Michigan, Indiana, Ohio, and/or Texas 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE ROLE We are looking for a curious, hands-on security professional early in their career to join our Detection & Response team as an Incident Response Developer. You’ll report to the Manager of Detection & Response and work closely with senior responders to investigate security incidents, improve our response processes and build automation that helps us scale. You’ll get hands-on experience with real incidents and the mentorship to grow into the craft. The ideal candidate has a foundation in security fundamentals, some hands-on exposure to investigations or security operations, and real enthusiasm for automating repetitive work. You’re a problem-solver who stays calm when things get busy, asks good questions and wants to learn from experienced teammates. WHAT YOU'LL DO - Strengthen our incident response capabilities by building relationships with Engineering teams, writing new playbooks and automating manual steps. - Own investigations from start to finish: triage, evidence collection, analysis, containment and documentation. - Act as Incident Commander for low- and medium-severity incidents, and support senior responders on high-severity ones. - Turn recurring incident types into repeatable workflows (intake, playbook, automation, closure), from the first design through to the tooling behind them. - Report incident trends and metrics that inform team priorities. - Work with our Security Engineers to monitor, refine and expand our SIEM and SOAR platforms. - Work with the HR, Fraud and Privacy teams on investigations into potentially fraudulent and sensitive activity, including insider threats and snooping. - Participate in an on-call rotation for responding to security incidents, internal questions and operational support. - Work with the detection engineering team to develop new, high-fidelity detection rules based on incident trends and threat intelligence. SKILLS YOU BRING - 3+ years of experience in cybersecurity. - 1–2+ years of hands-on incident response experience, owning investigations end to end. - The ability to coordinate responders and stakeholders during an incident, and know when to escalate. - Experience using a SIEM to turn noise into signal, including writing queries and tuning alerts. - Proficiency with AI coding tools (Claude Code, Cursor, ChatGPT, etc.) to build and maintain automation. We invest in tooling (automation, Slack bots, AI agents) so responders spend their energy on the decisions that matter. - A workflow mindset: you can look at a messy, recurring problem and break it into steps that tooling or AI can take on. - Working knowledge of cloud infrastructure (e.g., AWS, GCP or Azure) and how to investigate within it. - Discretion and sound judgment when handling sensitive information, such as HR and insider-threat matters. - Clear, honest and inclusive communication with both internal and external stakeholders. - Good judgment under pressure, in technical problem solving and in working across teams. - A strong desire to learn from the team and others. We value making one another successful! WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Commercial Solutions Engineering team are our in-house, customer-facing product experts.  The Commercial SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Commercial SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located on the East Coast 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $182,000 - $226,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts.  The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located in Greater NYC or Boston Area 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE ROLE We are seeking an experienced and hands-on security professional to join our Detection & Response team as a Senior Incident Response Developer. Reporting to the Manager of Detection & Response, this is a critical, technical role focused on strengthening our ability to respond to and recover from security threats. You will be a key player in investigating complex security incidents, building scalable response processes, and taking command when it matters most. The ideal candidate has a deep, technical background in hands-on incident response and a keen eye for where automation can improve and scale our capabilities. You are a natural problem-solver who remains composed under pressure, a senior team member who enjoys mentoring others in the craft of incident response, and a builder who can create the playbooks, scripts, and processes needed to protect our company and our customers. Between incidents, you'll build the tooling and workflows that make the next one faster and easier to handle. WHAT YOU'LL DO - Help take our security incident response capabilities to the next level by building relationships with Engineering teams, new playbooks and finding opportunities for automation. - Grow others in the art of Incident Response to support the program and increase consistency in outcomes. - Play a key role in building and shaping the Security Incident Response team. - Take the role of Incident Commander to bring incidents to resolution. - Turn recurring incident types into repeatable workflows (intake, playbook, automation, closure) so they become routine work for the team. - Help shape the direction of investment by informing the business of trends and relevant metrics. - Partner with our Security Engineers to monitor, refine, and expand our SIEM and SOAR platforms. - Coordinate with HR, Fraud and Privacy teams to investigate potential fraudulent and sensitive activity including insider threats and snooping. - Participate in an on-call rotation for responding to security incidents, internal questions and operational support. - Partner with the detection engineering function to develop new, high-fidelity detection rules based on incident trends and threat intelligence. SKILLS YOU BRING - 5+ years of experience in the Cybersecurity domain. - 3+ years experience being an Incident Manager, taking ownership of investigations. - Ability to lead a team during high-stress situations, providing direction and support to team members. - Understand how to turn noise into signals using a SIEM. - Proficiency with AI coding (Claude Code, Cursor, ChatGPT etc). We invest in tooling (automation, Slack bots, AI agents) so responders spend their energy on the decisions that matter. - Thinks in workflows: can look at a messy, recurring problem and break it into steps that tooling or AI can take on. - Knowledge of and familiarity with cloud infrastructure. - Believes that honesty, transparency, and inclusivity are important when communicating with both internal and external stakeholders. - Demonstrates good judgment under pressure both in terms of technical problem solving and collaborating cross functionally. - Eager to learn from the team and others. We value making one another successful! WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for an Enterprise Account Executive, Acquisition based in Spain who will be responsible for prospecting and closing new business across Iberia . You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. What You’ll Be Doing Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 5+ Years of experience in infrastructure technology sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Fluent in English & Spanish. Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Rewards In Spain, the OTE compensation range for this role is EUR 170,000 - EUR 220,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Munich As Asana transitions from Collaborative Work Management (CWM) to Agentic Workflow Management (AWM), you will lead enterprise customers through that same transformation — helping them define what AI-powered work looks like for their organization, aligning stakeholders around a shared adoption plan, and driving measurable impact across their highest-value workflows. You will design and lead structured, time-bound engagements from onboarding through workflow launch, guiding teams and AI agents to execute work together seamlessly. Partnering closely with executive sponsors and frontline teams, you will navigate ambiguity, create operational clarity, and connect AI capabilities directly to meaningful business outcomes. This role is based in our Munich office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wedne sdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements What you’ll achieve Lead structured onboarding and deployment engagements in partnership with Customer Success, Sales, Solutions, and R&D to drive adoption of Asana AI. Align enterprise stakeholders on platform setup, workflow priorities, and shared success metrics while assessing workflow complexity to deliver early impact. Document and hand off comprehensive implementation plans, capturing prioritized workflows, mitigation strategies for known risks, and clear milestones. Guide customers end-to-end through workflow design, discovery, process mapping, configuration, and user acceptance testing with embedded Asana AI capabilities. Coordinate cross-functional delivery across time-bound engagements, aligning workflow owners, IT, and business stakeholders from kickoff through training and launch. Develop documentation and forward-looking roadmaps that define how customers scale Asana AI usage, including expansion recommendations. Conduct recurring customer check-ins alongside account teams to assess workflow performance, adoption metrics, and identify new implementation opportunities. Surface expansion signals to internal partners and establish repeatable delivery frameworks and best practices across the implementation team. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Proven customer-facing implementation or consulting experience leading structured onboarding or deployment engagements within a SaaS company or consulting firm. Experience deploying enterprise AI tools, AI-powered workflows, agent orchestration, or platform implementations involving data governance. Demonstrated ability to guide customers through AI change management, building confidence and managing user adoption friction with empathy. Track record of managing multiple enterprise workstreams and executive stakeholders simultaneously while maintaining timeline and milestone accountability. Strong facilitation skills with the ability to translate complex customer feedback into actionable platform configurations and long-term adoption plans. Bias toward action with the ability to navigate ambiguous environments, make sound decisions with incomplete data, and establish operational momentum. Clear, structured communicator skilled at translating complex technical workflows into ac tionable future states for executive sponsors, workflow owners, and cross-functional teams. At Asana, we're committed to building teams that include a variety of back grounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every list ed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission . We believe that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not i mpacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is between €104,000 - €132,000. The actual base salary will vary based on various factors, including market and individual qualific ations objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may i nclude addit ional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include : Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-te rm savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

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 looking for a GTM Recruiter to support strategic hiring for our organization and contribute to our team’s growth and success. You will drive full cycle recruitment for positions across our GTM and G&A teams. You will effectively partner with leadership and be a strategic talent partner and advisor across the organization. You will leverage your recruiting expertise and deep knowledge of Fin's business to design strategy and differentiate Fin in the market. You will proactively identify opportunities and solutions to improve and iterate on recruiting processes and partner with stakeholders to drive solutions forward. What will I be doing? Partner with Fin's leaders and Hiring Managers to deeply understand their needs. Influence and advise stakeholders on their recruiting approach, strategy, and processes. Create diverse and robust pipelines and attract and convert talent through creative sourcing tactics. Attract and convert passive talent through effective and authentic storytelling of company strategy and business goals. Leverage data to diagnose challenges in a search, proactively create and execute solutions and influence and advice stakeholders. Provide an excellent candidate experience and serve as a trusted partner. What skills do I need? 4+ years of full cycle GTM/Sales recruiting experience in a high growth tech environment. Expertise and talent market intelligence across business teams (GTM and G&A functions). Creative recruiting approach and capable of attracting and converting talent. Proven track record of partnering with GTM leaders to meet and exceed hiring goals. Data and metrics driven, ability to use data to inform decisions. Strong analytical, conceptual, and problem-solving abilities. Passion for building and managing diverse pipelines. Aligned with Fin's values; growth mindset, highly collaborative, work with a sense of urgency and obsess about customer success. #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: United States; Canada Considering a Career Beyond Physical Therapy? Are you a Physical Therapist, Athletic Trainer, Strength & Conditioning Coach, Exercise Scientist, or allied health professional who has wondered what a career outside of direct patient care might look like? At VALD, we're always interested in connecting with talented professionals who are passionate about human performance, rehabilitation, and helping organizations make better decisions through technology. While we may not have an immediate opening in your area, we're actively building relationships with clinicians and performance professionals who may be interested in future Business Development Manager or Client Success Managers opportunities across North America. If you're motivated by relationship building, education, territory ownership, and helping practitioners adopt innovative technology, we'd love to hear from you. About VALD The Business Development and Client Success team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD. With an education-based approach to sales, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business. What We're Looking For We're interested in connecting with professionals who: • Have a background in Physical Therapy, Athletic Training, Strength & Conditioning, Exercise Science, or a related field • Enjoy building relationships and influencing outcomes • Are curious about sales, business development, and commercial careers • Thrive on accountability, ownership, and continuous learning • Want to stay connected to the healthcare and performance industry while exploring a different career path What Does a Business Development Manager or Client Success Manager at VALD Do? Our Business Development Managers and Client Success Managers work closely with clinicians, sports teams, universities, military organizations, and performance facilities to help them understand how VALD technology can improve evaluation, performance, injury risk management, and rehabilitation outcomes. This is a field-based sales role focused on: • Product demonstrations and education • Territory development and relationship building • Industry events and conferences • Consultative sales and account management • Helping practitioners get measurable value from technology By joining our talent network, you'll: • Learn more about future opportunities at VALD • Stay informed about growth within your region • Connect with our recruiting and leadership teams • Be considered when new territories or expansion opportunities become available • Gain insight into how clinicians and performance professionals have successfully transitioned into commercial careers We are proactively seeking to connect with exceptional allied health and performance professionals for future opportunities. Submitting your information does not guarantee an interview or immediate opening, but it allows our team to reach out when opportunities arise that align with your background and location. VALD Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Conditions of Employment Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.

Location: GB - United Kingdom Scopely is looking for a Senior Quality Engineer to join the MONOPOLY GO! team. The role can be based remotely in the UK, or in Barcelona or Seville on a hybrid basis, with three days a week in the office. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. At Scopely, we care deeply about what we do and want to inspire play every day—whether in our work environments alongside our talented colleagues or through our deep connections with our communities. We are a global team of game lovers developing, publishing, and innovating across the games industry, connecting millions of players around the world every day. The MONOPOLY GO! Tech Vertical develops the platforms, services, and engineering capabilities that support a reliable, responsive mobile gaming experience.We are building a Quality Engineering organization that embeds quality throughout development through automation, continuous validation, and shared engineering ownership. The Role We are looking for a Senior Quality Engineer who enjoys writing code, solving complex problems, and building tools that help teams deliver with confidence. Reporting to the Quality Director of Tech, you will help establish our QE capabilities through hands-on development of automation frameworks, test infrastructure, and quality insights across mobile, Unity, APIs, integrations, performance, and CI/CD. You will help build our Quality Engineering capabilities incrementally, prioritizing the areas of greatest risk and value with the team. We are building these capabilities while supporting an active live-service game. You will take ownership of immediate testing needs, including manual, exploratory, and release validation, while developing sustainable automation and tooling. A willingness to test directly is essential. You will use what you learn to guide automation priorities, while recognizing the continuing value of exploratory testing, and develop practical AI capabilities that improve engineering effectiveness. What You Will Do Build reusable engineering solutions. Write, review, debug, and maintain automation frameworks, tools, and test infrastructure that other engineers can adopt and extend. Improve testability from the start. Participate in technical design and code reviews to identify risks early and improve test hooks, service interfaces, and diagnostic capabilities. Balance building with hands-on testing. Perform manual, exploratory, and release testing where automation is not yet available or direct investigation provides greater value. Meet current delivery needs while building sustainable solutions. Develop mobile and Unity automation. Automate Android, iOS, and Unity workflows, accounting for device differences, application lifecycle events, network conditions, and client performance. Strengthen API and integration testing. Validate backend services, service contracts, client-server interactions, data integrity, and failure recovery through reliable automated tests. Validate player-state consistency and recovery. Test interrupted sessions, reconnects, retries, and client-server synchronization to help protect player progress and data integrity. Investigate failures across systems. Use logs, metrics, traces, crash reports, and telemetry to investigate client, backend, and integration failures, support root-cause analysis, and turn findings into regression coverage. Validate mobile and backend performance. Profile frame rate, memory usage, application startup, crashes, and responsiveness. Develop backend load, stress, and endurance tests, establish meaningful baselines, and investigate bottlenecks and regressions with engineers. Apply risk-based testing. Prioritize validation by player impact, technical complexity, change scope, and failure history. Combine service-level tests, targeted end-to-end automation, and exploratory testing. Integrate validation into CI/CD. Deliver reliable automated feedback, useful diagnostics, and maintainable quality checks. Improve test stability and execution time, with clear ownership of failures. Improve test data and environments. Build utilities, fixtures, and repeatable setup processes that make testing dependable and defects easier to reproduce. Develop AI-assisted quality workflows. Build and evaluate solutions for test generation, failure triage, regression selection, and coverage analysis, with human review and measurable outcomes. Strengthen telemetry validation and quality visibility. Partner with engineering and analytics to validate telemetry accuracy, completeness, duplicates, schema changes, and data freshness. Query large datasets to investigate issues and build quality dashboards that inform risk assessment and release decisions. Help establish the QE organization. Contribute standards, documentation, reusable patterns, and mentoring. Partner with developers, Quality Analysts, and technical leaders to strengthen shared ownership of quality. What We're Looking For Demonstrated quality engineering, software development in test, or software engineering experience, including hands-on ownership of automation used by other engineers. Strong programming skills in C# or Python, with the ability to work effectively in Unity and automation codebases. Experience in source control, code reviews, debugging, and maintainable software design. Practical experience testing and automating Android and iOS applications, including device coverage, operating system differences, and unreliable network conditions. Experience developing API and integration tests, diagnosing failures across services and data flows, and integrating reliable automated tests into CI/CD. Working knowledge of performance, risk-based, and exploratory testing, with sound judgment about what to automate and when to investigate directly. Working knowledge of SQL and practical experience with telemetry and big data, including querying large datasets, validating events and data pipelines, and using findings to guide testing and release decisions. Experience with AI-assisted engineering tools and the ability to evaluate the accuracy and usefulness of their outputs. Strong ownership and collaborative problem-solving, with the ability to turn ambiguous needs into practical solutions. A passion for quality, mobile games, AI, and technology. Advanced professional proficiency in spoken and written English, sufficient to participate independently in technical discussions, explain engineering decisions, and write clear documentation with global teams. Additional experience we value Hands-on experience with Unity, C#, Unity Test Framework, or automated testing of Unity-based mobile games. Experience with live-service games, player-state consistency, reconnect behavior, live configuration, or client-server synchronization. Experience with mobile device farms, observability, quality dashboards, or establishing QE capabilities within a growing team. What success looks like Teams receive faster, more trustworthy feedback and clearer visibility into release risk. Immediate testing needs are met while dependable automation grows around critical player journeys and integrations. Performance regressions surface earlier, failures are easier to diagnose, and repetitive effort decreases. Your tools are maintained, documented, and adopted by other engineers, and AI capabilities demonstrate measurable value. 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.