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Location: Australia (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for professional or semi-professional voice talents with a passion for language and technology for an exciting project. The recordings will be used for model training. WHAT YOU’LL DELIVER - Voice Samples - Voice qualities of interest: - Bright - Sultry - ASMR / soft intimate delivery - Expressive delivery (not monotone), conversational style - Voice persona: friendly, empathetic, attentive and helpful - Voice profile: - Flawless diction and articulation. - Consistent quality - Stable rhythm and tempo - Controlled pitch and amplitude - Correct diction and articulation QUALIFICATIONS - Must be native speaker of the target locale: AUSTRALIAN ENGLISH - Experience with voice acting, narration, podcasting, or streaming - Access to a professional or high-quality home recording setup - Recording software - Microphone - Headset/speakers - Audio Interface - Professional Digital Audio Workstation, software, plugins - Treated space, quiet environment, free from background noise, music, clicks, muffling, etc. - Able to follow specific technical requirements when recording (volume level, file naming, format, gaps between segments, audio quality, etc.) - Able to provide demo, sample recordings, voiceover samples - Comfortable with fast-turnaround projects and able to meet tight delivery deadlines when engaged - Open to licensing your voice for AI voice cloning / TTS training - Depending on the project, you may undergo a test in our module to be subsequently vetted against all requirements. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Submit samples of voice work and/or take a test in our text platform. If a test is required, you will be asked to verify equipment, rates and fees, availability, etc. Step 3: Once you are selected for a project, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Senior Systems HPC Engineer to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software. You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL). In this role you will Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated. Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference) Evaluate and integrate new hardware, system configurations and tuning approaches through software stack Support complex performance-related escalations from internal teams and customers Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel) Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). We conduct coding interviews as part of the process. #LI-LH2 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - USA At Counterpart Health, we are transforming healthcare and improving patient care with our innovative tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions. The Data Science team is responsible for leveraging our most valuable asset—our data—to generate meaningful value for our members. From building models that assist physicians in treating conditions to identifying members in need of specialized care, Data Science at Clover develops data products and insights that are central to our mission and differentiation as a company. Our impact is tremendous—as a Senior Data Scientist, you’ll help build a revolutionary healthcare company by delivering data-driven solutions that directly improve patient outcomes. As a Senior Data Scientist you will: Lead large-scale projects from ideation through enterprise impact. Apply a broad problem-solving toolkit to develop both creative and practical solutions. Evaluate trade-offs between out-of-the-box and customized solutions, optimizing for speed and effectiveness. Implement scalable, bug-free, and well-tested solutions that reduce complexity rather than add to it. Understand business challenges and deliver results that meaningfully solve key problems. Proactively engage with stakeholders across all levels to align data science efforts with business needs. Identify and mitigate risks early, preventing roadblocks that could arise later. Serve as a trusted advisor and thought partner, ensuring projects are delivered on time and aligned with business objectives. Mentor and collaborate with peers, improving team-wide problem-solving capabilities and technical execution. Success in this role looks like: First 90 Days: By your ability to forecast project impact. By leading data driven product performance assessment. Beyond 90 Days: Proactive identification and implementation of strategic improvements with data driven strategies. By leading toward improved team outcomes. You should get in touch if: You have an advanced degree in a quantitative field (Master’s + 3-4 years of experience or Ph.D. + 2+ years of experience). You have a strong foundation in probability, statistics, and machine learning tools, including SQL, Python, and relevant ML/statistical packages. You have successfully used data science to drive enterprise value in a business function. You are comfortable leading projects and have experience taking large-scale initiatives from concept to measurable business impact. You improve the work of those around you through mentorship, code review, and leadership by example. You can clearly communicate how your work contributes to business goals, ensuring alignment with top-level company objectives. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software. Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $176,900 — $230,000 USD

Location: North America; Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap. We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting. Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about - Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around - Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored - Work with our video team to produce technical product content that comes across with genuine depth - Partner with support, sales, and product on developer-facing documentation and educational content - Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter What we’re looking for - Someone technical. You get code, understand how software gets built, and can talk about it credibly - Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features - Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced. - Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility - Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities - Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Ukraine; Poland; Spain; Romania; Portugal About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Engineering Manager to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. As a member of the Product and Engineering team at PitchBook, you will be part of a group of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. As a Senior Engineering Manager in the Technology & Engineering division, you will be responsible for managing and growing several self-organized engineering teams, driving delivery excellence, and representing development direction at a strategic level. You will collaborate closely with engineering leads, product managers, and senior stakeholders to ensure alignment, performance, and team success. Tech Stack: Java, Python, TS/JS/React, GCP, Vertex AI, AWS, Bedrock etc Team setup: 2-5 teams Work Environment: ​​flexible As a qualified expert You will Manage and grow multiple engineering teams and their leaders within a business unit or product area. Cultivate technical excellence and a culture of continuous learning across teams. Participate in and supervise discussions on key technical decisions, delivery expectations, and people allocation. Represent the development direction at the strategic (VP) level, including plans, results, metrics, and capabilities. Drive AI tool adoption to improve team efficiency and delivery speed. Encourage learning through AI-assisted development and automation. Coach teams on best practices for software delivery, estimation, stakeholder communication, and continuous improvement. Ensure clear goals, priorities, and resource allocation while maintaining technical excellence and innovation. Foster a culture of trust, transparency, collaboration, and constructive feedback. Maintain high morale and motivation, especially during challenging circumstances. Balance business, team, and individual needs through effective communication and decision-making. Recognize team achievements and help teams learn from challenges or failures. Manage staffing, including hiring new team members aligned with company values and culture. Monitor and assess team performance, conduct performance reviews, and ensure fair compensation processes. Support the adoption of DevOps practices and modern engineering methodologies. We’re looking for you if you have Mature understanding of the manager’s role, with a strong product- and results-oriented mindset, demonstrating strong ownership and focus on delivering outcomes. 7+ years of hands-on experience in software development, primarily with the Java stack. 3+ years of experience managing one or more engineering teams (25+ individuals) in a modern software development environment. Strong understanding of modern software development processes, frameworks, and their practical trade-offs. Knowledge of contemporary software engineering technologies and their applications to real-world problems. Understanding of AI tools, prompting, and workflow automation in software engineering. Ability to assess AI outputs and apply them to improve efficiency and quality. Familiarity with DevOps culture and practices. Strong interpersonal skills combining empathy, business acumen, and the ability to set expectations and provide feedback. Open-mindedness, willingness to learn, and courage to make progress-driving decisions. Excellent written and verbal communication skills in English. Bonus points Experience leading the development of complex, distributed software systems requiring deep domain or technical expertise. Experience with Agile or other value-stream-based framework transformations. Proven success in building high-performing software development teams from the ground up. Experience managing teams using metrics related to motivation, performance, and time. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Manager screening Tech Interview HR Interview Interview with Managing Director Product Interview (Client) Interview with VP, Technology & Engineering (Client)

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs - Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear - Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution - Guide and inspire fellow designers through collaborative critique of work-in-progress - Use and improve our lightweight design system components - Help with hiring new teammates that can elevate our team and product What we’re looking for - 7+ years experience designing software - Courage to ask questions, experiment, and advocate for what you feel is right - Humility to accept feedback, adapt your thinking, and iterate toward the best solution - Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami) - Ability to distill problems and feedback, then design clear, focused solutions - Effective written and verbal communication skills — much of our work is async What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $220,000—$268,250. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - Part I https://linear.app/blog/a-design-reset and Part II https://linear.app/blog/how-we-redesigned-the-linear-ui of how we redesigned the Linear UI - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - Read me https://linear.app/readme a story about our mission - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Crafting quality that endures https://www.youtube.com/watch?v=pCil7YNhNCU Config keynote by our Co-founder & CEO, Karri Saarinen - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: United States - Remote Workplace: remote About the Role The Technical Account Manager (TAM) is a deeply technical post-sales role focused on driving successful adoption of Azul Prime within a portfolio of strategic customers. Unlike a traditional TAM role, this position is hands-on and technical first. You will spend the majority of your time engaged with customer engineering teams on JVM performance tuning, troubleshooting, reliability engineering, and architectural guidance. Strong relationship skills matter, but it is technical credibility with developers, SREs, and architects that makes this role successful. You will be trusted by Azul’s most important accounts to ensure that their mission-critical Java applications run on Prime with the best possible performance, stability, and cost efficiency. And you will serve as the bridge between customers and Azul’s engineering organization, feeding real-world insights back into the product. What Makes This Role Different Technical depth first. Expect to spend significant time reading thread dumps, GC logs, and flight recordings — not building slide decks. Direct partnership with Azul engineering. You will work side-by-side with our runtime, GC, JIT compiler, and tooling teams on complex customer issues. Ownership of technical outcomes. You own production adoption of Azul Prime within your accounts — from candidate application selection through successful rollout and ongoing optimization. Key Responsibilities Strategic Account Ownership Own a portfolio of named strategic customers, with flexibility to engage additional high-value Azul Prime customers as opportunities arise. Build and maintain deep, long-term relationships with technical stakeholders — SREs, Java developers, platform engineers, and architects. Partner closely with Sales, Customer Success, and Support on joint account planning, renewals, and expansion opportunities. Technical Leadership Serve as the primary technical advisor for Azul Prime across your accounts. Lead troubleshooting, root cause analysis, and performance tuning engagements for JVM-based applications running at enterprise scale. Provide architectural guidance on reliability, scalability, latency, throughput, and cloud cost optimization. Work with customers to identify and qualify candidate applications for Azul Prime, then partner with them through successful production deployment. Product & Engineering Partnership Collaborate with Azul’s runtime, compiler, GC, and tooling engineering teams to resolve complex technical issues. Channel structured, actionable customer feedback into Azul’s product and engineering organizations to help shape the roadmap. Act as a senior point of technical escalation for high-severity issues within your accounts. Enablement & Knowledge Sharing Design and deliver customer-facing workshops, training sessions, and technical business reviews. Create and maintain high-quality technical documentation, runbooks, and reusable customer-facing assets for Azul Prime. Share knowledge internally, mentoring peers across the TAM, Sales Engineering, and Support organizations. Keep internal systems current with account activity, engagement notes, and customer outcomes. Required Qualifications 12+ years in senior technical roles such as software engineering, SRE, performance engineering, or cloud/platform engineering. 8+ years in customer-facing technical roles (TAM, solutions architect, consulting engineer, or SRE with direct customer engagement). Strong working knowledge of Java programming and JVM internals — garbage collection, JIT compilation, class loading, threading, and memory model. Demonstrated experience tuning and troubleshooting enterprise-scale Java applications in production. Demonstrated ability to perform root cause analysis and apply structured problem-solving techniques. Strong Linux fundamentals, including shell scripting and performance troubleshooting on Linux systems. Hands-on experience with distributed systems, public cloud platforms (AWS, GCP, and/or Azure), and containerization (Kubernetes, Docker). Excellent written and verbal communication skills, with the ability to translate complex technical concepts for audiences ranging from individual engineers to senior executives. Based in North America and able to travel occasionally to customer sites (typically 10–20%). Preferred Qualifications Deep specialization in JVM performance tuning, GC behavior analysis, and low-latency Java applications. Experience with observability and monitoring stacks (Prometheus, Grafana, Datadog, New Relic, Dynatrace, JFR, or similar APM tools). Familiarity with microservices architectures and modern cloud-native Java deployment patterns. Cloud platform certification (AWS, Azure, GCP) or SRE-related certifications. Contributions to open-source Java projects or active participation in the broader Java technical community. Experience using Jira and Confluence to raise bugs and maintain documentation. Prior experience with Azul Prime, OpenJDK, HotSpot, or other commercial Java runtimes. Why Azul At Azul, you will work alongside a team of Java experts who genuinely love the platform, on problems that matter to some of the most demanding engineering organizations in the world. Our technology powers mission-critical Java workloads at massive scale, and our customers rely on us precisely because we go deeper on Java than anyone else. If you want your technical expertise to have outsized impact — and you want to be surrounded by people who share that passion — we would love to talk! What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Azul participates in E-Verify. As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.   Employment at Azul is contingent upon the completion of reference and background checks. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is $150,000 and this job is also eligible for commission/variable pay.  Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, 401(k) plan, and a wide range of paid time off options.

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Establish functional, performance, environmental and security requirements with mission stakeholders & CONOPs. • Translate requirements into clear payload performance parameters and maintain bidirectional traceability throughout the project lifecycle. • Establish with cybersecurity team payload‑specific requirements & embed resilience and security by design. Payload Architecture Definition • Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays, digitizers/ onboard processing, Feeder links, master reference oscillator & clock synchronizations). • Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload specific subsystems. • Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber). Trade‑Study & Technology Road‑Mapping • Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board processing algorithms, PVT. • Identify emerging technologies and incorporate them into the company’s long‑term roadmap. System Modeling & Performance Simulation • Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using MATLAB/Simulink, SystemView or Python‑based toolkits. • Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral efficiency, G/T, EIRP and other key metrics. • Optimize payload design and performance with operation with traffic models/CONOPs. Simulation & Analysis • Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting. • Optimize Payload DC power budget with traffic & utilization models. Hardware & Firmware • Own system‑level specifications to hardware designers, review schematics, layouts, thermal & mechanical interfaces. • Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software, Ground Segment and Mission Operations teams to resolve integration issues early. • Support payload design authority in System design reviews and Mission Operations hand‑over. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment. • Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Define SOOH and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.  Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Gather functional, performance, environmental and security requirements from mission stakeholders & CONOPs. • Map requirements to payload equipment performance with I/F with on-board processor • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas, Feeder links & front‑end), master reference oscillator & clock synchronizations. • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN). Simulation & Analysis • Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting. • Define and maintain Payload DC power budget with traffic & utilization models • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Hardware & Firmware • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints. • Support SW development for MODCODs and on‑board processing pipelines; ensure BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G NTN.  Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Gather functional, performance, pointing, environmental and security requirements from mission stakeholders & CONOPs. • Capture, trace and map payload requirements from mission level to subsystem level • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Design the SAR system architecture (antenna arrays & RF front-end Tx/Rx components, digital beamforming, processing chain and digital electronics, power, thermal, and mass). • Lead the conceptual, preliminary, and detailed design phases, producing trade studies, performance budgets). • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints Simulation & Analysis • Perform performance simulations for tolerance budgeting and image quality. • Support algorithm and analytical development to process SAR. • Define and maintain Payload DC power budget with utilization models. • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, firmware, deliverables and documentation are version controlled in PLM environment. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Computer science or Physics with 10 + years of experience supporting SAR remote sensing system development, integration and test on LEO/MEO missions.  Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Goodyear, United States Workplace: onsite Location: Goodyear, Arizona Employment Type: Part-Time, Adjunct Faculty Instructional Format: Hybrid and Online Graduate Courses Position Summary Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. Avila University Arizona is seeking a dedicated and qualified Adjunct Instructor in Accounting to join our graduate faculty in Goodyear, Arizona. The successful candidate will primarily teach AC 601 – Financial Accounting for Decision Making, a graduate-level course designed to develop students' understanding of accounting principles, financial reporting, and the use of financial information in business decision-making. The ideal candidate will possess a strong academic background in accounting, substantial professional experience in financial accounting or related business functions, and a passion for teaching and mentoring adult learners in accelerated graduate programs. Successful candidates will be considered for inclusion in our adjunct faculty pool. Teaching assignments will be determined based on course availability, enrollment, and institutional needs. Primary Teaching Assignment This graduate-level course introduces essential accounting concepts and procedures that support effective organizational decision-making. The course emphasizes the preparation, interpretation, and analysis of accounting information to evaluate organizational performance and inform management decisions. Faculty should be prepared to teach topics including: Fundamental financial accounting principles and concepts Accounting transactions and the accounting cycle Preparation and interpretation of financial statements Financial reporting and accounting standards Analysis of financial information for business decision-making Financial performance evaluation and organizational effectiveness The role of accounting information across business functions Ethical considerations and the impact of globalization on accounting practices Practical applications of accounting through real-world business cases The instructor is expected to connect accounting theory with contemporary business practices, helping graduate students develop analytical, critical-thinking, and financial decision-making skills applicable to management and leadership roles. Responsibilities Instruction & Delivery Deliver high-quality graduate-level accounting instruction through online and hybrid formats, incorporating in-person, synchronous, and asynchronous learning activities. Apply effective teaching strategies appropriate for accelerated graduate programs and adult learners with diverse professional and academic backgrounds. Explain complex financial accounting concepts clearly and demonstrate their practical application to organizational decision-making. Incorporate real-world financial statements, business cases, accounting scenarios, and financial analysis exercises into instruction. Develop and facilitate engaging learning activities that strengthen students' accounting knowledge, analytical reasoning, and problem-solving abilities. Assess student performance through assignments, examinations, case studies, and other appropriate evaluation methods. Mentorship & Student Support Provide timely, constructive feedback on student assignments and assessments. Support students with varying levels of prior accounting knowledge. Assist students in developing confidence in interpreting financial information and applying accounting principles. Foster a supportive, inclusive, and collaborative learning environment that encourages critical thinking and professional development. Collaboration & Coordination Collaborate with academic leadership and other faculty members to ensure course delivery aligns with approved curriculum, learning outcomes, and institutional academic standards. Communicate regularly with the Academic Department regarding student progress, instructional needs, and course-related concerns. Participate in faculty meetings, onboarding, and professional development activities as required. Contribute recommendations for improving accounting instruction based on industry practices and student learning needs. Professional Development Maintain current knowledge of financial accounting standards, regulatory developments, and contemporary accounting practices. Engage in professional development related to graduate teaching, instructional technologies, and assessment strategies. Incorporate relevant industry developments and professional accounting practices into course instruction. Administrative Duties Maintain accurate and timely records of student grades, attendance, and academic performance in the university's learning management system. Submit grades, attendance, and other required academic documentation according to institutional deadlines. Ensure compliance with university academic policies, procedures, and accreditation requirements. Participate in course assessment and continuous improvement activities as requested. Qualifications Required Qualifications Doctorate in Accounting, Business Administration with an Accounting concentration, or a closely related field. A Master's degree in Accounting or a closely related field, combined with 10 or more years of significant professional accounting experience , may be considered in lieu of a doctorate. Minimum of 5 years of relevant professional experience in financial accounting, corporate accounting, financial reporting, auditing, financial management, or a closely related field. Strong knowledge of financial accounting principles, financial statement preparation and analysis, and the use of accounting information in business decision-making. Demonstrated ability to communicate technical accounting concepts clearly to students with diverse academic and professional backgrounds. Strong communication, organizational, collaboration, and time-management skills. Ability to deliver effective instruction using online and hybrid teaching technologies. Preferred Qualifications Certified Public Accountant (CPA) designation or an equivalent recognized professional accounting credential. Previous teaching, training, or adjunct faculty experience at the undergraduate or graduate level. Experience teaching accounting or financial management to MBA students or adult professionals. Professional experience in corporate finance, financial reporting, auditing, controllership, or management accounting. Familiarity with accounting software, financial reporting technologies, and spreadsheet-based financial analysis. Experience using Canvas or a comparable learning management system. Experience developing practical accounting exercises, financial statement analysis assignments, and case-based learning activities. Terms of Employment Employment Classification: Adjunct Faculty FLSA Status: Exempt Teaching assignments are subject to institutional needs, course availability, enrollment, and faculty qualifications. Instruction may include online and scheduled on-campus components at the Goodyear, Arizona location. Additional Position Requirements Communication: Maintains professional communication with university faculty, staff, students, and external constituents. Uses institutional technology effectively in the performance of assigned duties. Reasoning Ability: Demonstrates the ability to solve practical problems, interpret financial and academic information, analyze data, and exercise independent judgment when addressing instructional challenges. Language Skills: Must be able to read, write, understand, and communicate effectively in English. Must demonstrate the ability to explain accounting concepts, interpret professional and academic materials, and provide clear written and verbal feedback. Physical Demands: The physical demands described here are representative of those required to perform the essential functions of the position. Duties may involve sitting, standing, moving within an office or classroom environment, using a computer and keyboard, reading instructional materials, and communicating in person or through video technology. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Work Environment: Work may be performed in classroom, office, and remote instructional environments. The typical noise level in the workplace is moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university faculty, staff, students, and external stakeholders. Demonstrates professionalism, independent problem-solving abilities, and sound academic judgment. Evaluation: Performance will be evaluated in accordance with Avila University policies and applicable adjunct faculty expectations. Equal Employment Opportunity Statement The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations. The information contained in this job description is intended to describe the general nature and level of work performed and is not an exhaustive list of duties and responsibilities. Additional responsibilities may be assigned based on institutional needs. Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions, or assign additional responsibilities. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Goodyear, United States Workplace: onsite Location: Goodyear, Arizona Employment Type: Part-Time, Adjunct Faculty Instructional Format: Hybrid and Online Graduate Courses Position Summary Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. Avila University Arizona is seeking a dedicated and qualified Adjunct Instructor in Accounting to join our graduate faculty in Goodyear, Arizona. The successful candidate will primarily teach AC 601 – Financial Accounting for Decision Making, a graduate-level course designed to develop students' understanding of accounting principles, financial reporting, and the use of financial information in business decision-making. The ideal candidate will possess a strong academic background in accounting, substantial professional experience in financial accounting or related business functions, and a passion for teaching and mentoring adult learners in accelerated graduate programs. Successful candidates will be considered for inclusion in our adjunct faculty pool. Teaching assignments will be determined based on course availability, enrollment, and institutional needs. Primary Teaching Assignment This graduate-level course introduces essential accounting concepts and procedures that support effective organizational decision-making. The course emphasizes the preparation, interpretation, and analysis of accounting information to evaluate organizational performance and inform management decisions. Faculty should be prepared to teach topics including: Fundamental financial accounting principles and concepts Accounting transactions and the accounting cycle Preparation and interpretation of financial statements Financial reporting and accounting standards Analysis of financial information for business decision-making Financial performance evaluation and organizational effectiveness The role of accounting information across business functions Ethical considerations and the impact of globalization on accounting practices Practical applications of accounting through real-world business cases The instructor is expected to connect accounting theory with contemporary business practices, helping graduate students develop analytical, critical-thinking, and financial decision-making skills applicable to management and leadership roles. Responsibilities Instruction & Delivery Deliver high-quality graduate-level accounting instruction through online and hybrid formats, incorporating in-person, synchronous, and asynchronous learning activities. Apply effective teaching strategies appropriate for accelerated graduate programs and adult learners with diverse professional and academic backgrounds. Explain complex financial accounting concepts clearly and demonstrate their practical application to organizational decision-making. Incorporate real-world financial statements, business cases, accounting scenarios, and financial analysis exercises into instruction. Develop and facilitate engaging learning activities that strengthen students' accounting knowledge, analytical reasoning, and problem-solving abilities. Assess student performance through assignments, examinations, case studies, and other appropriate evaluation methods. Mentorship & Student Support Provide timely, constructive feedback on student assignments and assessments. Support students with varying levels of prior accounting knowledge. Assist students in developing confidence in interpreting financial information and applying accounting principles. Foster a supportive, inclusive, and collaborative learning environment that encourages critical thinking and professional development. Collaboration & Coordination Collaborate with academic leadership and other faculty members to ensure course delivery aligns with approved curriculum, learning outcomes, and institutional academic standards. Communicate regularly with the Academic Department regarding student progress, instructional needs, and course-related concerns. Participate in faculty meetings, onboarding, and professional development activities as required. Contribute recommendations for improving accounting instruction based on industry practices and student learning needs. Professional Development Maintain current knowledge of financial accounting standards, regulatory developments, and contemporary accounting practices. Engage in professional development related to graduate teaching, instructional technologies, and assessment strategies. Incorporate relevant industry developments and professional accounting practices into course instruction. Administrative Duties Maintain accurate and timely records of student grades, attendance, and academic performance in the university's learning management system. Submit grades, attendance, and other required academic documentation according to institutional deadlines. Ensure compliance with university academic policies, procedures, and accreditation requirements. Participate in course assessment and continuous improvement activities as requested. Qualifications Required Qualifications Doctorate in Accounting, Business Administration with an Accounting concentration, or a closely related field. A Master's degree in Accounting or a closely related field, combined with 10 or more years of significant professional accounting experience , may be considered in lieu of a doctorate. Minimum of 5 years of relevant professional experience in financial accounting, corporate accounting, financial reporting, auditing, financial management, or a closely related field. Strong knowledge of financial accounting principles, financial statement preparation and analysis, and the use of accounting information in business decision-making. Demonstrated ability to communicate technical accounting concepts clearly to students with diverse academic and professional backgrounds. Strong communication, organizational, collaboration, and time-management skills. Ability to deliver effective instruction using online and hybrid teaching technologies. Preferred Qualifications Certified Public Accountant (CPA) designation or an equivalent recognized professional accounting credential. Previous teaching, training, or adjunct faculty experience at the undergraduate or graduate level. Experience teaching accounting or financial management to MBA students or adult professionals. Professional experience in corporate finance, financial reporting, auditing, controllership, or management accounting. Familiarity with accounting software, financial reporting technologies, and spreadsheet-based financial analysis. Experience using Canvas or a comparable learning management system. Experience developing practical accounting exercises, financial statement analysis assignments, and case-based learning activities. Terms of Employment Employment Classification: Adjunct Faculty FLSA Status: Exempt Teaching assignments are subject to institutional needs, course availability, enrollment, and faculty qualifications. Instruction may include online and scheduled on-campus components at the Goodyear, Arizona location. Additional Position Requirements Communication: Maintains professional communication with university faculty, staff, students, and external constituents. Uses institutional technology effectively in the performance of assigned duties. Reasoning Ability: Demonstrates the ability to solve practical problems, interpret financial and academic information, analyze data, and exercise independent judgment when addressing instructional challenges. Language Skills: Must be able to read, write, understand, and communicate effectively in English. Must demonstrate the ability to explain accounting concepts, interpret professional and academic materials, and provide clear written and verbal feedback. Physical Demands: The physical demands described here are representative of those required to perform the essential functions of the position. Duties may involve sitting, standing, moving within an office or classroom environment, using a computer and keyboard, reading instructional materials, and communicating in person or through video technology. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Work Environment: Work may be performed in classroom, office, and remote instructional environments. The typical noise level in the workplace is moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university faculty, staff, students, and external stakeholders. Demonstrates professionalism, independent problem-solving abilities, and sound academic judgment. Evaluation: Performance will be evaluated in accordance with Avila University policies and applicable adjunct faculty expectations. Equal Employment Opportunity Statement The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations. The information contained in this job description is intended to describe the general nature and level of work performed and is not an exhaustive list of duties and responsibilities. Additional responsibilities may be assigned based on institutional needs. Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions, or assign additional responsibilities. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: London, UK 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 The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: £370,000 — £630,000 GBP 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-Friendly (Travel-Required) | 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 The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $500,000 — $850,000 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: Montreal; Canada Workplace: remote ABOUT YOU We are looking for a Full-Stack Engineer who is curious, detail-oriented, and collaborative to join our Engineering team. The best candidate will be someone who enjoys working in a fast-paced, team-oriented environment and is eager to contribute to end-to-end solutions, learn scalable architecture patterns, and help improve performance and reliability across both frontend and backend systems.   Proficiency in React and modern frontend development practices, along with backend experience in Go (or a similar language) is essential, along with exposure to microservices architecture and containerized environments using Docker and Kubernetes. The ability to contribute to features from concept to production, assist in troubleshooting system issues, and participate in performance optimization efforts will be key to your success in this role.   If you're passionate about building full-stack experiences that power impactful products and are excited to grow your skills within gaming, payment, and digital commerce ecosystems, we would love to hear from you!     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Contribute to the development and maintenance of full-stack applications that power core products and platforms. Build responsive, performant user interfaces using React. Develop and maintain backend services using Go and event-driven architectures. Work with microservices in containerized environments using Docker and Kubernetes. Participate in architecture discussions and contribute ideas that improve performance and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver features end-to-end. Monitor and debug your code in production, contributing to application reliability and performance improvements. Write automated tests and follow CI/CD best practices to ensure quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Join on-call rotation to support production systems and assist in incident response. Qualifications & Skills 2–4 years of full-stack development experience. Proficiency in React and modern frontend development practices. Backend experience in Go or a similar language. Understanding of microservices architecture and event-based communication patterns. Exposure to container orchestration and cloud infrastructure (e.g., Kubernetes, Docker). Basic understanding of observability, monitoring, and performance optimization. Ability to assist in troubleshooting production issues and analyzing system behavior. Nice to Have Experience with React Native for mobile development. Interest or background in gaming, payments, or commerce systems. Exposure to adtech or offer monetization platforms. Familiarity with Kafka or equivalent streaming platforms. Familiarity with Redis or other in-memory data stores. Experience with cloud platforms (e.g., AWS, GCP, or Azure). Exposure to ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Any experience working on internal platforms or developer-facing tools. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Lead Software Engineer (Mobile Native), we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com

Location: Paris, Remote Workplace: remote The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement. By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology. You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base. Within 1 month, you will: Master our Platform's core user experience and the Collaborative Learning methodology Become a platform expert (from a user & admin perspective) and get certified on our methodology. Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine. Connect with colleagues worldwide through virtual coffee chats and team-building activities. Within 3 months, you will: Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement. Identify and execute your updates on the Engagement Academy to align with the latest product releases. Define your quarterly priorities in relation to the Support & Services roadmap with your coach. Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement. Within 6 months, you will: Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content). Participate in Discovery Meetings with Product Managers to share insights on how clients actually use and adopt the platform. Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog. Build new processes and update Confluence with the information needed for the team's daily work. Within 12 months, you will: Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories. Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training). Develop advanced toolkits and training paths based on the most successful client use cases. The Skills Set: 3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care. You are recognized for your listening and teaching skills You express your ideas in a clear and concise manner, both in writing and orally You are proactive and prefer working in a strong results-oriented culture A past experience in the learning industry is a plus You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German and English. Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our LEC Coach Case Study Meeting with our LEC Coach and a member of the team Clarification Meeting with our Head of professional Services EMEA Culture Fit Meeting with our VP Global Professional Services Offer ! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Prague, Czech Republic; Group career pages; Jobs.cz Workplace: Hybrid COMPANY OVERVIEW Rohlik Group is building the future of online grocery — delivering 25,000 SKUs in under three hours across multiple European markets. But this isn't just a logistics problem. We're engineering the shift to agentic-first development, rethinking how software gets built so we can ship faster without compromising the quality our customers expect. Our engineers work on problems that sit at the intersection of AI, real-time operations, and consumer experience. Whether it's driving our warehouses toward lights-out operations, bringing agentic shopping to our web and app products, or building the internal systems that power one of Europe's fastest-growing grocery platforms — the technical challenges here are real and unsolved. DEPARTMENT OVERVIEW 100+ engineers across Product Engineering, Platform & SRE, Machine Learning, AI, and Data. We work in compact cells of 3-8 people, each owning a specific problem with clear KPIs. We're AI-native — Claude Code and Devin are part of our daily workflow, not a pilot. We ship fast, we build with the best tools available, and we don't hide behind process when we could be shipping. ROLE OVERVIEW You'll own the technical direction for one of Rohlik's core domains — from architecture to delivery. This is a staff-plus individual contributor role: no direct reports, but far-reaching influence across multiple teams and functions. You'll be the person teams turn to when they're stuck on the hardest problems. You'll shape how systems are designed, how trade-offs are evaluated, and how we evolve our platform as we scale across markets. You're accountable for ensuring your domain's systems are architecturally sound, scalable, secure, and aligned with where the company is heading. You'll also play a key role in embedding AI and agentic practices into the stack and developer workflows — helping us move faster while keeping quality high. This means driving the adoption of agentic development, championing automation, and ensuring Rohlik stays on the cutting edge of how modern engineering teams work. WHAT WE EXPECT FROM YOU / THE POSITION TO PERFORM - Own the long-term technical vision, architecture, and strategic direction of your domain. - Lead cross-team design discussions, architectural reviews, and delivery of major technical initiatives. - Partner with Engineering Managers, Product Engineers, and Product Owners to turn business goals into sound technical strategy. - Drive high standards for security, scalability, and performance — and make them stick. - Champion agentic-first development practices to help engineers ship faster. - Make the engineers around you better — through pairing, design reviews, and raising the bar on what "good" looks like. - Support multiple engineering teams by unblocking complex issues and setting clear technical standards. - Provide input into group-wide engineering strategy, technology selection, and platform direction. - Act as the point of escalation for the most complex technical decisions in your domain. WHAT WE LOOK FOR / WHAT WE REQUIRE REQUIRED - You've designed and scaled large, mission-critical systems that serve real users at scale. - You've made architectural decisions that teams are still benefiting from years later — and you can articulate the trade-offs you considered. - You can walk into a room of senior engineers, explain a complex trade-off, and leave with alignment — even without formal authority. - You have deep expertise in a specific technical domain (e.g., payments, logistics, customer experience, AI/ML) and a track record of shaping its direction. - You've mentored senior engineers and helped them grow — not just reviewed their code, but changed how they think about problems. - You're excited about using AI to fundamentally change how engineering teams work — not as a buzzword, but as a real multiplier. - Proficiency in Java and React. You can find our full stack here https://stackshare.io/companies/rohlik-group/stack. PREFERRED - Experience contributing to open-source projects or presenting at technical conferences. - Familiarity with multiple programming paradigms and technology stacks. - Exposure to cross-regional or multi-country technology operations. WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary, no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility three days in the office, 2 days at the Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you - You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us?

Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. Why this role exists Higgsfield is one of the fastest-growing generative AI companies in the world. The specialty studios get most of the attention, but the general-purpose creation surface, the library, the shared foundation every user touches, is what makes or breaks daily use. We need a PM with real taste to own it. What you'll actually do • Own the core product experience end-to-end: image, video, collaboration, asset management, and the overall UX that ties them together. • Own the surrounding product: library, projects, sharing, cross-product navigation, the things that make Higgsfield feel like one product instead of a bag of tools. • Set the taste bar. Every flow, every empty state, every default. You're the person the team looks to when something feels off. • Ship weekly. Our release cycle is days, not quarters. • Design the metrics that matter: activation, generation success rate, session depth, weekly retention, feature adoption, cross-product usage. • Glue the org together on the core experience. Work directly with Design, Backend, Frontend, and the vertical studio teams so the surface stays coherent as new products land on top of it. Must-haves 1. Deep passion and curiosity for generative image, video, and LLMs. You use these tools daily. You have opinions about which models are good at what, and why. 2. Taste. You can look at a flow and tell what's wrong before the metric moves. Design and Engineering both trust your judgment. 3. Experience launching new products and scaling existing ones. You've taken things from zero to one and from one to ten. Founding or early-operator experience is a strong plus. 4. Strong technical background with a real grasp of AI/ML concepts. You can reason about model tradeoffs, latency, quality, and cost without needing an engineer to translate. 5. You ask smart questions, dig for answers yourself, and update your view when the evidence moves. No ego on the line when you're wrong. Who this is not for • You prefer working from complete specifications rather than defining problems yourself. • You don't use generative AI tools daily. This role is impossible without lived product intuition. • You are looking for a slower release cycle. We ship weekly. Nice to have • Background at a consumer product, creative tool, or AI-native company in the US, EU, or Asia. • Direct experience shipping image or video generation, editing, or creative software. What We Offer - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A seat where the surface you own is what millions of users touch every day. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits. This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.