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Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a B2 Principal Product Manager to join our team! About the Role We are seeking an ambitious and accomplished Principal Product Manager to join our Product team. Backblaze’s B2 cloud object storage offers multi-exabyte, S3-compatible, globally available object storage that unlocks app builder innovation across AI neoclouds and traditional hyperscalers at a fraction of the cost of traditional cloud infrastructure hyperscalers. The Principal Product Manager for B2 will work closely with key stakeholders to understand the evolution of cloud storage and the customer problems in the space, and determine product strategies and roadmap to address those problems. This person will work independently to lead efforts for new feature discovery and delivery, as well as improvements to execute on those strategies. Understanding customer problems through interviews and market research, and translating them into requirements, is critical. What You'll Do Drive B2 product strategy and roadmap development through delivery execution. Lead the end-to-end product development lifecycle from discovery through delivery in feature development. Gather and synthesize inputs for discovery and prioritization from internal functions, customers, and partners across the full spectrum of R&D development, including feature capabilities, user experience challenges, cost optimization, and technical debt. Translate complex customer challenges into clear, concise, and actionable product requirements in collaboration with Design, Engineering, and GTM teams. Collaborate with Product Marketing to launch and drive adoption of new products and features. Act as a subject matter expert and evangelist for Backblaze's solutions, presenting to customers, prospects, partners, and internal teams. Establish and track key product metrics (KPIs), using data to guide iteration and growth decisions. Maintain a deep understanding of the latest advancements in the object storage market, including customer use cases and competitive offerings, to identify new opportunities and ensure Backblaze’s market leadership position. The Right Fit 8+ years of Product Management experience in tech businesses, preferably on IaaS and/or SaaS offerings. A proven track record of successfully launching and scaling technical products or platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions. Strong grasp of cloud architecture, APIs, and security and compliance. Proven success in owning product roadmaps, defining MVPs, and driving the complete product life cycle. Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap. Deep empathy for customers and users in gathering and synthesizing input, and a passion for solving their most pressing security challenges. Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders. Excellent written and verbal communication skills. Experience applying data and metrics to inform product decisions and measure success. Bonus Points For Expertise in cloud storage and computing from hyperscale and neocloud providers, such as AWS, Azure, GCP, GPU clouds, and CDNs. Bachelor's degree in Computer Science, Engineering, or a related field. MBA degree. Application development programming experience. Expertise in applying GenAI in solution prototyping and agentic workflow development. Backblaze Perks RSU grants for full-time employees. Annual company bonus plan. Healthcare for family, including dental and vision. 401K. ESPP program. Flexible vacation policy. Maternity and paternity leave. MacBook Pro for work, plus a generous stipend to personalize your workstation. Childcare bonus (human children only). Fertility treatment and support. Learning and development program. Commuter benefits. A culture that supports a healthy work-life balance. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses or credentials, and may vary from the amounts listed below. The expected salary range for this role is $225,000 to $250,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product. Key responsibilities Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking Translate complex technical architecture into clear, actionable risk advice Deliver integrated guidance on safety, security and data protection Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms Lead privacy diligence on mergers and acquisitions, and support corporate governance Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC Ability to read and engage with technical documentation, such as system designs and architecture diagrams Excellent legal writing, including clear, concise advice Preferred qualifications At least 8 years of privacy and data protection legal experience Deep familiarity with software and model development and architecture Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business Direct engagement with privacy regulators, including providing briefings and responding to inquiries Privacy and data protection work on mergers, acquisitions, and similar transactions Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $265,000 — $335,000 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. 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: United States Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for Executive Reporting. You will combine engineering leadership with hands-on technical expertise to help customers understand patching and vulnerability trends over time through reliable reports and dashboards. What you'll do: Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority trade-offs visible. Work with Product Management and the EVP to define priorities and translate customer needs into executive reporting capabilities. Oversee the design, development, and operation of reporting capabilities, including: - Historical reporting on patches and vulnerabilities. - The Enterprise Reports Engine and reusable report execution capabilities. - Dashboard services for presenting trends and status to decision-makers. - Data aggregation and consistent calculation of reporting metrics. - Report generation, scheduling, and export workflows. Guide technical decisions within the assigned domain, from solution design through development and production rollout, while coordinating cross-cutting architecture and security decisions with their designated owners. Establish clear definitions for metrics, reporting periods, data freshness, and missing data so customers can interpret results accurately. Coordinate with Product Value and core engineering teams on source data, reporting content, access controls, and shared infrastructure. Own automated pipelines for building, testing, validating, and deploying reporting services. Improve reporting accuracy, query performance, reliability, and observability as customer data volumes grow. Apply AI technologies where they improve reporting development, validation, or interpretation. Requirements What we're looking for: Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, and TypeScript. Experience building and operating AWS services in production. Hands-on experience with reporting platforms, analytics services, or data-intensive applications. Proficiency in SQL and experience with data modeling, aggregation, and query performance. Understanding of historical data, metric consistency, and data-quality validation. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have: Experience writing automated tests for data pipelines, reporting calculations, and report generation. Experience with dashboard engines, scheduled reporting, and large data exports. Experience with patch management or vulnerability reporting. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products that support large numbers of endpoints. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India; Riyadh, Saudi Arabia We are looking for an experienced SAP Project Manager / Solution Architect to lead and oversee SAP cloud transformation projects. The ideal candidate should have strong SAP architecture knowledge, proven project management experience, and hands-on experience delivering SAP cloud implementations or migrations. Key Responsibilities: Lead end-to-end SAP cloud implementation, migration, and transformation projects. Define and oversee the overall SAP solution architecture in alignment with business and technical requirements. Manage project scope, timelines, budgets, resources, risks, and deliverables. Work closely with business stakeholders, technical teams, SAP consultants, and third-party vendors. Design scalable and secure SAP cloud solutions and ensure alignment with SAP best practices. Provide technical leadership and guidance throughout the project lifecycle. Ensure successful integration between SAP and other enterprise/cloud platforms. Identify technical risks, dependencies, and potential issues and develop appropriate mitigation plans. Coordinate with SAP and cloud technology teams to ensure smooth implementation and go-live. Ensure project documentation, architecture documentation, and technical standards are maintained. Support presales activities, solution design, estimations, and client presentations when required. Requirements: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. 8+ years of experience in SAP , with significant experience in SAP implementation/transformation projects. Proven experience as an SAP Project Manager, SAP Solution Architect, or in a combined Project Manager / Solution Architect role . Strong experience with SAP Cloud solutions and cloud transformation projects . Experience with SAP S/4HANA Cloud and preferably SAP BTP. Strong understanding of SAP architecture, integrations, security, and cloud technologies. Experience managing complex SAP projects from planning through implementation and go-live. Excellent stakeholder and client management skills. Strong communication and leadership skills. Mandatory Certification: Valid SAP Cloud certification is mandatory. Candidate must hold a recognized and current SAP cloud certification , preferably related to SAP S/4HANA Cloud, SAP BTP, or SAP Cloud Architecture . The candidate must be able to provide a valid copy/certificate number as proof of certification . Preferred: SAP Activate certification. PMP or PRINCE2 certification. TOGAF or other enterprise architecture certification. Experience with SAP BTP, integrations, APIs, and cloud security. Experience working on large-scale SAP transformation programs.

Задачи: — Проектировать и реализовывать продуктовые фичи в крупном Android-приложении. — Развивать модульную архитектуру приложения: корректно выделять api/impl контракты, сохранять направление зависимостей и не расширять legacy-подходы без необходимости. — Работать с UI на Jetpack Compose и внутренней дизайн-системой: экраны, состояния, reusable-компоненты, accessibility. — Реализовывать presentation/domain/data слои: ViewModel, UI state/effects, use cases, repositories, mappers, интеграции с backend-клиентами. — Работать с асинхронностью на Coroutines/Flow, streaming-сценариями и SSE. — Наставлять инженеров ниже грейдом через review, парное проектирование и передачу контекста по сложным частям приложения. Требования: — Опыт работы с Kotlin, Android platform, Jetpack Compose, Coroutines/Flow и понимание layered architecture без смешивания DTO, domain models и UI models. — Опыт агентной разработки и интеграции AI-инструментов в developer workflow. — Опыт с native/NDK интеграциями, audio/video stack, Media3, CameraX. — Опыт развития многомодульной архитектуры в большом Android-приложении. — Опыт подготовки мобильных релизов с учетом rollout, rollback, feature flags и совместимости версий приложения. Условия: — Крупнейшее DS&AI community — более 600 DS-специалистов банка. — Дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира. — Возможность быть соавтором НИРов и статей для международных конференций. — Возможность выбрать удобный формат работы: гибрид или офис. — Ежегодный пересмотр зарплаты, годовая премия. — Корпоративный спортзал и зоны отдыха. — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития. — Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа. — Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров. — Вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO We're looking for a business value strategist to join our pricing team. You'll partner with sales and customers throughout complex enterprise sales cycles to develop customer-specific value frameworks, build rigorous ROI models and investment cases grounded in operating and financial metrics, and translate Sierra's impact into measurable outcomes such as lower operating costs, incremental revenue, and stronger customer loyalty. You'll also create and scale repeatable, industry-specific business cases and establish Sierra's business value framework from the ground up. This is a hands-on role for someone who can bring structure to ambiguous problems, develop rigorous analysis, and has strong communciation. - Support complex enterprise sales cycles by developing ROI models, evaluating tradeoffs, and presenting recommendations to senior decision-makers - Shape commercial strategy by connecting the value Sierra delivers to our outcomes-based pricing model - Develop industry-specific benchmarks, frameworks, and tools that make Sierra’s business value clear and repeatable WHAT YOU'LL BRING - 5+ years of experience in value engineering, monetization strategy, consulting, strategic finance, or a similar role focused on quantifying and communicating business impact - Advanced financial modeling and analytical skills, with a track record of building rigorous ROI models and investment cases - Experience supporting complex enterprise sales cycles and engaging senior decision-makers - Ability to partner effectively with sales teams and customer stakeholders across finance, operations, and executive leadership - Degree in Business Administration, Finance, Economics, or a related field, or equivalent professional experience EVEN BETTER... - Experience building and scaling a business value methodology, program, or center of excellence from the ground up - Familiarity with AI, conversational AI, or customer service operations - Previous experience in a zero-to-one startup or fast-paced, high-growth environment OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an AI Research Intern, your mandate is to research and prototype foundation models, both transformer-based and graph-based, applied to OnePay's customer, transaction, and merchant data. You'll work on real modeling problems and build a working prototype that demonstrates the approach. This role will impact OnePay's vision by providing a remarkable customer experience, driving positive business outcomes, and improving operational efficiency. You will work closely with the product, engineering and applied science team(s) working across all business units. This role reports to the Head of AI/ML. This role is responsible for: - Research, design, and train foundation models on OnePay's data, working with transformer and/or graph-based architectures. - Run experiments, evaluate results rigorously, and turn promising findings into a working prototype. - Opportunity to work in an extremely fast paced growing company - Partner with Product, Engineering and Analytics teams to ensure we are providing a remarkable customer experience. - Driving significant impact on the company’s bottom line. YOU BRING - Final-Year Graduate Student: You’re in the final year of a master’s or PhD program, expected to graduate in Fall 2027 or Spring 2028, majoring in Engineering or a related field. - Deep Learning Fundamentals: You have a strong grasp of how neural networks work under the hood, including backpropagation, attention, embeddings, optimization, and training dynamics. You've implemented, trained, or fine-tuned models yourself through research, coursework, or personal projects, and you're comfortable working in PyTorch or an equivalent framework. - Prior Experience: You've completed at least one previous internship in research, machine learning, or software engineering, or have built substantial personal or academic projects you're excited to talk through. - Availability: This is a full-time, 8-week program running June 21 - August 13, 2027. You are available to work in our New York City office at least 3-4 days a week throughout. - Proactive & Collaborative Attitude: You have an act-like-an-owner mentality, thrive in a fast-moving environment, and enjoy working with others to achieve collective goals. - Critical Thinking & Problem-Solving Skills: You enjoy tackling complex challenges, analyzing problems, and developing solutions. Clear communication of ideas is one of your strengths. - Organized & Detail-Oriented: You’re a keen listener with strong organizational skills, capable of managing multiple tasks efficiently. - Excited to Learn & Grow: You are passionate about being part of a rapidly growing start-up and look forward to expanding your skills in a real-world setting. NICE TO HAVE - Familiarity with transformer-based foundation model architectures, including pre-training, fine-tuning, inference, and the tradeoffs between approaches. - Exposure to graph-based learning or graph foundation models, such as GNNs, message passing, or representation learning on graph-structured data. - Coursework or projects involving Large Language Models or Generative AI. - Research output in any of the above: publications, workshop papers, or open-source contributions. WHAT WE OFFER - Early access to a high potential, high growth fintech - Hands on experience building product ready to ship - Beautiful NYC SoHo Office - Professional development and team social outings PROGRAM & APPLICATION TIMELINE - Program runs June 21 - August 13, 2027 (8 weeks, full-time, in our NYC office) - We review applications and conduct interviews on a rolling basis as they come in - No offer decisions will be made until the application window closes – all candidates are evaluated together before final decisions go out - We are targeting a finalized cohort by December 1, 2026 - If there are intern spots still available, we may reopen applications in Spring 2027 Work Authorization: OnePay will not sponsor applicants who need employment sponsored visas for this position. Future sponsorship will not be considered. STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD As a Senior Product Engineer, you bring strong expertise in either backend or frontend engineering alongside the ability and willingness to work across the full stack. You own features end to end, working across customer facing applications, services, APIs, and integration boundaries to deliver complete product outcomes. Your primary strength may be building cloud native backend services and event driven systems, or developing complex frontend experiences and application architecture. We do not expect equal specialization in every part of the stack. We value strong fundamentals, depth in your primary area, and the ability to contribute effectively across system boundaries. You work closely with Product, Design, QA, and other engineers to understand customer problems, make sound technical decisions, and take solutions from idea through production and iteration. THE DAY TO DAY - Own features end to end Take customer and product problems from discovery and technical design through implementation, production deployment, and iteration. - Build across the stack Work across frontend applications, APIs, backend services, and integration layers to deliver complete customer outcomes. - Bring technical depth Contribute strong expertise in your primary discipline while developing a broader understanding of the systems and technologies around it. - Make good technical decisions Participate in architecture discussions, evaluate tradeoffs, and shape solutions that are scalable, maintainable, and pragmatic. - Stay close to the product Partner with Product and Design to understand customer needs and translate them into effective technical solutions. - Drive engineering excellence Contribute to strong testing, CI/CD, observability, code quality, and technical debt practices. - Collaborate across functions Work with Engineering, Product, Design, QA, and platform teams to break down complex problems and deliver high quality software. - Grow the team Support other engineers through code reviews, pairing, technical discussions, and knowledge sharing. YOUR SUPERPOWERS - Engineering depth and breadth Four to six or more years of software engineering experience, with strong expertise in either backend or frontend engineering and practical experience across the broader stack. - End to end ownership Experience taking features from technical design through development, deployment, and production support. - Strong fundamentals A solid understanding of software design, APIs, application architecture, testing, and maintainable production software. - Cloud awareness Experience with cloud environments such as AWS and familiarity with modern CI/CD and observability practices. - Product mindset The ability to understand customer problems, navigate ambiguity, and balance technical quality with meaningful delivery. - Collaborative communication The ability to explain technical tradeoffs and work effectively across Engineering, Product, Design, and QA. BONUS POINTS - Cloud and event driven systems AWS serverless technologies, asynchronous workflows, distributed systems, or event driven architecture. - Infrastructure and delivery Infrastructure as Code using CDK, Terraform, CloudFormation, or similar tools, plus CI/CD or deployment experience. - Frontend architecture Large frontend applications, component architecture, state management, design systems, accessibility, or performance. - Backend breadth Node.js and TypeScript services or experience with Go, Python, PHP, or other backend technologies. - Production observability Monitoring, tracing, structured logging, metrics, and production diagnosis. OUR STACK Our product teams work primarily with TypeScript across frontend and backend development. Frontend applications include Angular and modern web technologies. Backend and platform systems span Node.js, TypeScript, Go, PHP, Python, AWS, REST APIs, event driven architectures, relational and NoSQL databases, CI/CD, and modern observability tooling. You do not need deep expertise in every technology we use. We are looking for engineers with depth in a primary discipline, strong software engineering fundamentals, and the ability to become effective quickly in unfamiliar systems. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Навыки: Kotlin, Jetpack Compose, Coroutines, Flow, MVVM, Clean Architecture, Retrofit, Room, DataStore, Hilt, Navigation Compose, Material 3, unit-тесты (JUnit, coroutines-test), Git.

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal considers high-quality documentation to be essential for developer experience, and we see docs becoming even more important as agents increasingly deploy and operate Modal Apps. We are looking for a content-minded engineer who will partner with our product teams to curate Modal’s technical documentation and maintain a high quality bar across multiple dimensions. WHAT YOU'LL WORK ON: - Think holistically about content architecture and how the docs should evolve as Modal introduces new products and features - Innovate on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team - Develop content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality - Build and maintain automated pipelines that enforce the correctness of code examples and prose descriptions - Collaborate with engineers across the company to author documentation that is clear, consistent, and correct YOU MAY BE A FIT IF: - You have 3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space - You’ve authored or edited high-quality technical content for developers - You’re knowledgeable about agentic engineering workflows and best practices - You’re comfortable with modern software development practices (version control, CI/CD, testing)

Location: Almaty Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.   In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who we're looking for: AI Consultant to help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses. The role is based in Almaty, Kazakhstan. Key Responsibilities: Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases. Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility. Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails. Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities. Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows. Prepare agent specifications and solution documentation that enable delivery teams to implement successfully. Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption. Support customer presentations and executive discussions around AI strategy. Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices. Required Skills & Competencies: Strong skills in business analysis, process design, value mapping, and discovery. Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations. Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role. Hands-on experience designing or launching AI-powered solutions or AI agents. Experience translating business requirements into solution designs. Experience working with enterprise customers and multiple stakeholders. Excellent executive communication and presentation skills. Strong analytical and systems thinking. Excellent spoken and written English. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Electrical Engineer to play a key role in the electrical architecture, design, and development of next-generation power and charging systems for WHOOP wearable technology. As a member of the Hardware Engineering team, you will own critical electrical architectures, designs, and subsystems, translating product and system requirements into robust, highly integrated hardware. You will work closely with Electrical, Mechanical, Firmware, Systems, Manufacturing, Supply Chain, and Product teams to make critical design tradeoffs, solve complex technical challenges, and drive electrical systems from early development through validation and high-volume production. RESPONSIBILITIES: - Own electrical architectures, designs, and subsystems, translating product and system requirements into electrical specifications, component selections, schematics, and production-ready hardware - Design highly integrated, miniaturized, low-power, mixed-signal electronics, making informed tradeoffs across performance, power, size, cost, reliability, manufacturability, and schedule - Drive electrical designs through schematic capture, PCB layout and design review, prototype bring-up, characterization, debugging, design iteration, verification, and production readiness - Partner closely with Electrical, Mechanical, Firmware, Systems, Manufacturing, and other engineering teams to define interfaces, resolve system-level challenges, and ensure electrical designs perform reliably within the complete product - Evaluate new components, technologies, and design approaches to improve electrical system performance, address technical risks, and enable future product capabilities - Support new product introduction (NPI) and high-volume manufacturing through design for manufacturability, functional testing, failure analysis, and production ramp, partnering with suppliers and contract manufacturers and traveling up to 15% domestically and internationally as needed QUALIFICATIONS: - Bachelor's degree in Electrical Engineering or a related technical field, or equivalent practical experience - 5+ years of relevant electrical engineering experience, with demonstrated ownership of electrical hardware designs through development, prototyping, validation, or production - Strong electrical engineering fundamentals across analog and digital circuit design, power architecture and management, component selection, communication interfaces, and debugging of complex electrical systems - Demonstrated experience designing highly integrated electronics, including schematic capture, PCB design and layout review, and making architecture-, component-, and subsystem-level design tradeoffs - Experience with ECAD tools such as Altium or equivalent - Strong hands-on hardware development skills, including prototype bring-up, circuit characterization, debugging, and use of electrical test and measurement equipment - Strong analytical and problem-solving skills, with the ability to independently drive ambiguous technical problems, make sound engineering decisions, and collaborate effectively across multidisciplinary teams - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. ROLE DESCRIPTION Security is core to Phantom’s product and the trust millions of users place in us. We’re building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of our work—from code review and threat modeling to vulnerability discovery and security automation. We’re looking for strong security engineers with high agency who can identify the risks that matter, build practical solutions, and take ownership from initial discovery through verified remediation. This is a hands-on, high-impact role spanning architecture, source code, testing, and production systems across Phantom’s mobile, web, and backend products. You’ll work directly with engineering and product teams, lead complex security initiatives, and build capabilities that scale across the company. At the Staff level, you’ll set technical direction and raise the bar for how Phantom designs, builds, and ships secure products. This role is fully remote and open to candidates based in the US, UK and Canada. RESPONSIBILITIES - Product Security Ownership: Partner with engineering teams to identify and address security risks across Phantom’s mobile applications, web products, APIs, and backend services. - Architecture and Threat Modeling: Lead security reviews for new products and major architectural changes, with particular attention to authorization boundaries, sensitive data, transaction integrity, key material, and third-party integrations. - Secure Product Development: Embed practical security controls into the software development lifecycle, from design and implementation through testing, release, and production operation. - Code Review and Security Testing: Perform AI assisted security code reviews and targeted testing of high-risk features. Build repeatable approaches that help find vulnerabilities before they reach production. - Security Tooling: Develop and improve tooling that gives engineers fast, actionable security feedback without creating unnecessary friction. Use automation and AI-assisted workflows where they materially improve coverage or speed. - Software Supply Chain Security: Harden CI/CD, build, and release systems against supply chain threats, including dependency risk, secrets exposure, build provenance, artifact integrity, and compromised developer or automation workflows. - Vulnerability Management: Triage findings from internal testing, researchers, bug bounty submissions, and third-party assessments. Work with owners to determine real-world impact and drive issues through verified remediation. - Incident Response: Support the investigation of product security incidents and suspicious activity. Turn lessons from incidents into durable improvements to product architecture, detection, and engineering standards. - Technical Leadership: Establish product security patterns and expectations across engineering. At the Staff level, lead ambiguous, cross-functional initiatives and influence architecture beyond any single product team. QUALIFICATIONS - 5+ years of experience in product security, application security, security engineering, or software engineering, including experience operating at a senior or staff level. - Strong understanding of web, mobile, API, and distributed-system security, including authentication, authorization, session management, cryptography, and common vulnerability classes. - Hands-on experience building or applying AI-assisted security tooling to test applications and APIs, combining automated analysis with source-code review and manual validation. - Demonstrated ability to review production code in one or more languages such as TypeScript, JavaScript, Rust, Python and Go. - Experience securing software supply chains and CI/CD systems, including dependencies, build infrastructure, secrets, artifacts, signing, and release integrity. - Experience threat modeling complex products and translating security risks into concrete engineering requirements. - Strong judgment when evaluating exploitability, business impact, and appropriate remediation. - Track record of partnering effectively with engineering and product teams while maintaining a high security bar. - Clear written and verbal communication, including the ability to explain technical risk to both engineers and non-security stakeholders. NICE TO HAVES - Experience securing consumer financial products, wallets, payments, or other systems where client integrity and transaction safety are critical. - Familiarity with blockchain systems, smart-contract interactions, transaction simulation, signing workflows, or self-custodial wallet architecture. - Experience securing browser extensions or native mobile applications. - Experience building and integrating application-security tooling, static or dynamic analysis, security test infrastructure, or policy-as-code controls. - Familiarity with AWS, Kubernetes, CI/CD systems, and cloud-native service architectures. - Experience working with bug bounty programs or coordinating external security assessments. The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Athens Office Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs Greece is seeking a Software Engineer to join our growing Solutions Engineering team in Greece! You will help design, develop, debug and deploy our next generation of decentralized applications. Working closely with our senior engineers, you will receive training in smart contract development using the Move programming language and build applications that support blockchain developers and business partners worldwide. These include payment wallets, decentralized finance applications and agentic coordination systems. AI coding tools and agents will be part of your development workflow, combining rapid experimentation with sound engineering judgment to deliver reliable software. You will also contribute to open source projects with global impact, collaborate with leading companies in blockchain and AI, and develop your expertise alongside experienced engineers. This is a remote position requiring residence in Greece, with a strong preference for Athens or Thessaloniki. Occasional attendance at our Athens office is required. WHAT YOU'LL DO: - Design, implement and test full stack applications, using AI coding agents to accelerate development while taking ownership of code quality, security and maintainability. - Work with (and travel as needed) international partners to onboard and port solutions to Sui. - Translate partner needs into clear technical requirements and rapidly build proof of concept applications that demonstrate how Sui can address real business problems. - Visualize and implement web UIs that improve the user experience for blockchain developers and partners. - Understand the capabilities of the Sui blockchain platform so that you can make use of its features and influence its evolution - Research blockchain technology and customers’ industries to inform technical decisions and proposed solution OUR IDEAL CANDIDATE WOULD HAVE: - Any degree in computer science or related field or/and experience in software engineering or equivalent work experience - 2+ years of industry software engineering experience - Experience with any of the following languages: TypeScript, JavaScript, Java or C# - Experience with any of the following UI Frameworks: React, Next.js, Vue - Practical experience using AI coding tools such as Claude Code, Codex or Cursor, including providing clear instructions, reviewing generated code and validating results through testing. Experience gained through personal or open source projects is welcome. - Understanding of relational databases and key value stores. - Experience in source code management tools, such as Git and GitHub - Strong collaboration, interpersonal, and verbal communication skills - Fluency in written and spoken English. Experience with Rust or Solidity, and basic knowledge of distributed systems and architectures, would be a plus. WHAT WE OFFER - A highly competitive, top-of-market compensation package. - Best-in-class private health insurance, with coverage that goes well beyond what is typically offered in the Greek market. - A monthly wellness stipend to support your physical and mental well-being. - A flexible, remote-first working environment with flexible working hours, designed to support autonomy and close collaboration. - An AI-native engineering culture. We fully embrace AI-assisted development and invest heavily in leading AI tools, infrastructure, and resources. - Continuous mentorship, training, and hands-on learning alongside world-class engineers in blockchain, distributed systems, and AI. - Meaningful ownership of technically challenging products used by developers and business partners worldwide. - A fast-moving environment where experimentation is encouraged, engineering judgment is valued, and your work can have a visible impact. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Canada Role overview: We are seeking a Spacecraft EMC Systems Engineer for its high-performance spacecraft for our remote sensing and communications satellites. The Spacecraft EMC Systems Engineer will own the EMC concept, analysis, verification and mitigation for multiple satellite programmes, driving architecture decisions, leading cross-disciplinary teams. He will ensure all electrical-subsystem on the bus and payload, from requirements capture to hardware design, do not interfere with themselves or launch vehicles. The role works closely with platform and payload teams to ensure an electrically clean, reliable and launch-ready spacecraft. Tasks summary: EMC Architecture Concept & Requirements • Capture, allocate and trace EMC functional, performance, and requirements. • Define the EMC architecture (shielding strategy, grounding scheme, antenna placement, mode-control, and harness segregation requirements & routing constraints). EMC Analysis & Electrical Design • Perform EMC analyses of the whole spacecraft (accounting for the payload specifics) for radiated/conducted emission and susceptibility, antenna coupling, shielding effectiveness, fuse blowing…etc. and verify compliance early in the design cycle. • Recommend mitigation such as shielding, filtering, grounding schemes, layout rules. DC Power Distribution • Review DC power distribution architecture (primary bus, secondary bus lines, converters, fusing, protection) for EMC/EMI aspects. • Review conductors, termination, connectors and back shells (material, gauge, shielding…etc.) that satisfy EMI control requirements. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support ICDs with payload and platform teams and suppliers. • Act as the EMC authority in System and subsystem design reviews • Liaise with RF, Power, Structures, Propulsion, Software and Ground-Segment teams to resolve cross-disciplinary EMC issues early. • Support B&P (Phase 0 & pre-Phase A). Integration & Verification (IVV) • Author the EMC Verification Master Plan covering component level, subsystem level and full spacecraft tests (CE/CS, RE/RS). • Oversee test-facility set-up, instrumentation calibration, test execution, data reduction and results certification. • Author test procedures, and acceptance criteria. • Lead CE/CS tests, RE/RS tests on hardware and review suppliers test results. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns and provide EMC training sessions. • Act as technical liaison with customers, partners and external vendors. • Act as Continuous Improvement stakeholder. • Contribute to Client’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Participate in Change Control Boards (CCB) and ensure impact analyses are performed for any electrical change. • Maintain GDIR and EDTS streamlining. • Ensure all artefacts, analysis and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On‑Orbit & Operations Support • Support root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred) with 10 + years of electrical design engineering experience on LEO/MEO/GEO missions. • Proficiency in spacecraft and unit EMC requirements and simulations. • Prior experience supervising a team of EMC engineers or leading multi-disciplinary task-forces. • 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 to no 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: Canada Role overview: We are seeking an experienced Electrical Power System Engineer to support the concept, detailed design, analysis, verification and integration of electrical power subsystems (solar arrays, power-conditioning units, batteries, distribution & regulation) for our current and next-generation remote sensing and communications satellites. The role works closely with payload, bus, thermal, structural and mission-systems multidisciplinary teams responsible for delivering high-performance, reliable EPS solutions to commercial, government, and defense customers. Tasks summary: Architecture Concept & Requirements • Define EPS architecture (generation, storage, distribution) that satisfies mission power budget, mass, volume and reliability constraints. • Perform trade-studies (e.g., solar cell type, battery chemistry, regulator topology). • Generate system requirements, functional flow block diagrams. • Develop the Interface Control Documents (ICD) and Design Description. • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Detailed Design & Analysis • Size solar arrays, power-conditioning units, battery packs, and power distribution units. • Build and validate high-fidelity electrical models for satellite modes, FMECA, Fault detection… • Conduct & maintain power budget models, load-flow, thermal-power coupling, and survivability analyses (e.g., eclipse, safe-mode, fault-tolerant). Cross‑Functional Coordination, Stakeholder & Program Interaction • Present technical status, risk analyses, and trade‑study results to senior management. • Interface with spacecraft bus teams (power, thermal, structure, avionics). • Develop/maintain high-fidelity power models for mission analysis (e.g., orbit raising, station-keeping, de-orbit). • Develop tools for power efficiency & optimisation for the satellite. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author verification plans, test matrices, and validation procedures for unit & EPS subsystem tests. • Support ground-test & integration campaigns, fueling, thermal vacuum, EMI/EMC, and spacecraft-level integration. • Analyse test data, close out anomalies, and update design baselines. • Support FSW integration Technical Leadership & Mentorship • Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client's knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Maintain design and safety standards. • Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support • Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. • Provide real‑time engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. • Support SOOH development and associated operator trainings. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of EPS system design experience on LEO/MEO platforms. • Deep knowledge of spacecraft bus subsystems and their interactions. • Experience with power‑electronics design and power management hardware. • 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: Canada Role overview: We are seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next-generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life-cycle. Tasks summary: Architecture Concept & Requirements • Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. • Produce System Requirements, Interface Control document (ICD), and Description Document. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study • Conduct trade studies on sensor suites and actuator families. • Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development • Design and implement attitude‑determination algorithms and orbit‑determination solutions. • Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms • Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction • Translate algorithms into FSW requirements running on real‑time operating systems. • Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with subsystems. • Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design • Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. • Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. • Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) • Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. • Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. • Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. 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 Client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). • Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. • Analyse 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, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. • Orbital mechanics, attitude dynamics, and control-law design (classical and modern optimal control). • Proficiency with navigation sensors and actuators. • Experience implementing real-time filtering and control algorithms in embedded code • 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 verbal communications skills in English & French work environment.