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Location: Japan Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. We are seeking a visionary and high-impact General Manager for Japan to lead our commercial expansion. This is a foundational role. You will be responsible for defining our go-to-market strategy in Japan, establishing enterprise partnerships and customer relationships and driving the adoption of Runway’s creator platform across the region. Note: For candidates based in Tokyo, this role may expand into the Country Manager, overseeing local operations and serving as the primary representative of Runway in Japan. WHAT YOU'LL DO - Lead commercial efforts by designing the go-to-market strategy for Japan, focusing on high-value enterprise accounts in media, entertainment, advertising, brands and technology sectors - Identify enterprise and distribution partnerships, cultivating relationships with C-suite executives at Japan’s largest firms, navigating the unique nuances of Japanese business culture and long-term relationship building - Localize product and marketing strategy to the Japan market, working closely with Product, Creative, and Marketing teams to ensure Runway’s offerings and messaging are deeply resonant with Japanese customer base - Serve as the subject matter expert on the Japanese and broader Asia competitive landscape, regulatory environment and emerging AI trends - Build the Japan office by recruiting, leading and mentoring a local team of enterprise account executives, and growth and deployment leads - Represent Runway at major industry events, conferences, and in the media to establish us as the leading AI partner for Japanese creators and enterprises WHAT WE'RE LOOKING FOR - 10+ years of experience in enterprise software, media technology or high-growth AI startups, with a proven leadership track record of building and cultivating high performance teams - Native fluency in Japanese, with professional fluency in English. You must be able to bridge the communication gap between our US teams and local stakeholders - An existing network of relationships within major Japanese media companies, advertising agencies or major tech conglomerates - Deep understanding of Japanese business etiquette and the ability to navigate complex organizational hierarchies - Comfortable with the ambiguity of an early-stage international expansion for a category-defining product, thinking in first principles to both close deals on the ground and build processes for scale Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Global (Remote) Workplace: Remote MISSION AT RWAZI Rwazi is a decision intelligence platform powered by consumer-trained AI that helps global brands increase market share and revenue by transforming real-world consumer activity into actionable insights across 195+ countries. Our AI identifies key opportunities and integrates zero-party consumer data from millions of users with enterprise systems for real-time, strategic guidance. Sena, our B2B AI layer, serves as a conversational assistant and reporting engine, providing instant answers and insights from direct consumer data, which you will oversee as a designer. --- THE ROLE You will be the Senior Product Designer for Sena, responsible for the end-to-end experience of a data-rich, AI-native enterprise platform. You will shape the product alongside product and engineering leadership, design in a complex data context, and work closely with the code. Product ownership. Sena is at an early and defining stage. You will influence what gets built, how intelligence is surfaced, and how enterprise clients interact with AI-generated insights. The designer here is a product thinker first. Design-to-code workflow. Our process runs from Figma through Claude Code to production. You will use AI-assisted development tooling daily to prototype, build, and iterate on front-end implementations. This is integral to how the team operates. Data visualization. Sena surfaces market intelligence, consumer analytics, AI-generated reports, and competitive benchmarking. You will design the AI-first, conversational experience, alongside dashboards, report layouts, and visualization systems that make dense, multi-dimensional data clear and actionable for enterprise users. Business-oriented design. Design decisions are framed in terms of adoption, retention, time-to-value, and revenue impact. You will present and defend your work in those terms with stakeholders across the organization. Small, senior team. You will report to the Director of Product Design and work alongside one other designer. Cross-functional collaboration with engineering and product leadership is direct and continuous. WHAT WE'RE LOOKING FOR - 5+ years of product design experience with substantial time spent on B2B SaaS products. Experience with enterprise dashboards, analytics platforms, reporting tools, or market intelligence products is especially relevant. - Fluency with AI/LLM tooling. You have integrated AI into your design or development workflow in a meaningful way. You understand how LLM-powered features behave, their constraints, and how to design for probabilistic outputs. - Front-end building capability. You are comfortable writing or editing HTML / CSS and have experience with AI-assisted coding tools such as Claude Code and Codex. - User research skills. You can conduct user interviews, extract insights, and translate findings into clear product opportunities. You can present and advocate for these opportunities with stakeholders. - Strong data visualization skills. You can take a dense dataset and design a clear, effective way to present it. You have thought carefully about chart types, information hierarchy, and progressive disclosure in professional contexts. - Comfort with ambiguity. Sena is evolving. You will sometimes need to make strong design decisions with incomplete information and iterate as you learn more. - Business-literate design thinking. You can articulate why a design choice matters in terms of user adoption, conversion, retention, or operational efficiency, and you have done this in front of stakeholders. VALUED EXPERIENCE - Enterprise SaaS, market intelligence, research, or analytics platforms. - AI-native products where AI is the core value proposition. - Hands-on experience prototyping and building UI with Claude Code (or similar AI-assisted development tools). - Design systems or component library architecture. - Experience working across global markets and distributed teams. HOW WE WORK - Fully remote, distributed, and async-friendly. - Tools: Figma, Claude Code, PostHog, GitHub. - Team: Small design team embedded in a cross-functional product organization. - Pace: Opinionated about outcomes, flexible about process.

Location: Yerevan; Poland; Ukraine; Serbia; Valencia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Продукт: Торговое ядро криптоплатформы О РОЛИ Мы ищем Senior-разработчика для развития высоконагруженного торгового ядра. Ваша работа будет сосредоточена на проектировании сервисов маршрутизации ордеров, риск-менеджмента и систем с ультранизкими задержками. Это позиция для инженеров, готовых отвечать за стабильность критически важных финансовых систем. ОСНОВНЫЕ ЗАДАЧИ — Проектирование масштабируемых сервисов (ордера, балансы, расчет рисков). — Оптимизация производительности для достижения сверхнизких задержек (Low-latency). — Обеспечение отказоустойчивости: внедрение систем самовосстановления и Graceful Degradation. — Усиление безопасности API, реализация Rate-limiting и защиты торговых операций. — Контроль качества через нагрузочное тестирование и соблюдение строгих SLA. ТРЕБОВАНИЯ К КАНДИДАТУ — 5+ лет коммерческого опыта разработки на стеке .NET/C#. — Обязателен опыт в разработке криптобирж, торговых платформ или биржевых продуктов. — Глубокие знания конкурентного программирования и Event-driven архитектуры. — Опыт работы с брокерами сообщений (Kafka, NATS или RabbitMQ). — Понимание принципов безопасности API, аудита и целостности данных. БУДЕТ ПРЕИМУЩЕСТВОМ — Опыт работы с FIX-протоколом, WebSockets и торговыми API. — Знание Cloud-native стека (Kubernetes, AWS/GCP, Service Mesh). — Опыт разработки критически важных систем в традиционном финтехе. УСЛОВИЯ РАБОТЫ — Сложные инженерные вызовы и работа в команде экспертов индустрии. — Полностью удаленный формат и гибкий график. — Поддержка профессионального развития и участия в профильных конференциях. — Возможность прямого влияния на архитектуру и успех глобального продукта.

Location: Dublin, Ireland; Galway, Ireland; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview Fanatics Betting & Gaming (FBG) is seeking a Staff Platform Engineer to join our Platform Engineering team based in the UK or Ireland. This position plays a critical role within the EMEA Platform Engineering organisation, partnering closely with teams across the UK, Ireland, and United States to build and operate the platforms that power Fanatics Betting & Gaming’s global software ecosystem. As a Staff Engineer, you will operate with a high degree of autonomy and ownership, leading complex technical initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, and internal developer tooling. You will influence platform architecture, define standards and best practices, and act as a force multiplier for engineering teams by improving reliability, scalability, and developer productivity. What You’ll Do Help drive technical design and delivery of core platform capabilities spanning cloud infrastructure, Kubernetes platforms, Observability, CI/CD systems, and developer tooling Architect, build, and operate cloud-native platforms on AWS with a focus on reliability, security, scalability, and cost efficiency Lead the evolution of CI/CD pipelines and GitOps-based workflows. Build and maintain internal platform services and tooling that improve developer experience and delivery velocity Continue to drive Infrastructure as Code and automation practices across teams Partner with application teams to unblock delivery and align platform capabilities with developer needs Participate in and/or lead complex, cross-team initiatives and provide technical clarity in ambiguous problem spaces Improve operational excellence through observability, automation, and incident response. Mentor engineers and participate in on-call rotations What You Bring 8+ years of experience in platform, infrastructure, DevOps, or software engineering Proficiency with Python and Java. Familiarity with Kotlin, Go a plus Deep Kubernetes and container orchestration knowledge Proven CI/CD and GitOps experience Infrastructure as Code expertise (Terraform) Strong AWS and cloud-native experience Experience operating distributed, high-availability systems Ability to influence without authority and communicate effectively across regions Nice to Have Experience with internal developer platforms or portals FinOps or cloud cost management experience Regulated or high-availability environment experience Backend development experience Familiarity with AI-assisted development tools Why Platform Engineering at FBG Platform Engineering at FBG operates with a product-first mindset. Our mission is to empower developers with reliable, scalable, and intuitive platforms that accelerate innovation and delivery. Working Across Regions This role operates in a globally distributed environment, working closely with teams across the UK, Ireland, and the United States. Strong communication, time zone coordination, and shared ownership are essential for success. Not sure if you check every box? We believe great engineers come from all kinds of backgrounds. We value impact, technical leadership, and a growth mindset just as much as specific tool experience. Unfortunately, we do not offer sponsorship and you do need to be living in the UK or Ireland to apply. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Lead the product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions. Design AI Agent capabilities for engineering scenarios , including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation. Drive the integration of AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms to deliver a unified end-to-end product experience. Establish mechanisms for product effectiveness evaluation, user feedback, and continuous optimization , and support the product’s scale-up from pilot validation to broad adoption. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in ToB products, platform products, or intelligent product solutions. Must have an engineering background , such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams. Strong understanding of DevOps , engineering productivity, software delivery processes, and quality systems , with the ability to abstract and productize complex workflows. Solid understanding of AI Agent product design , with the ability to design for task execution, workflow orchestration, result validation, and delivery closure. Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of Claude Code , Codex, Cursor , and Copilot , as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations. Strong structured thinking, cross-functional collaboration, and execution skills; experience with engineering platforms, DevOps platforms, platform products, or intelligent products is a plus. Nice to Haves Experience with products related to AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows . Experience building engineering platforms, DevOps platforms, or platform products from 0 to 1 or from 1 to N. Hybrid background of engineering-to-product transition , or contributions to open source, communities, or public thought leadership in AI or engineering productivity. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture. What You’ll Be Doing Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Drive the implementation of AI Native capabilities in engineering workflows , including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. Build the knowledge augmentation layer for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities. Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance. Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities. Proficient in Java / Python , with solid coding skills, architectural thinking, and experience building complex systems. Strong understanding of LLM and AI Agent architectures , including task decomposition, tool use, context management, memory, execution loops, and exception handling. Hands-on experience with LangChain and LangGraph , and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code , Codex, Cursor , and Copilot . Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases. Good understanding of DevOps , CI/CD , Kubernetes , and cloud-native technologies , with strong cross-functional collaboration and execution skills. Nice to Haves Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs. Experience building enterprise engineering platforms, DevOps platforms, or AI platforms . Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes . Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Kazakhstan; Mongolia; China; Russia About the company Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms. Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring. Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps. About the role Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced Kazakh subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects. The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads. Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance. Requirements Responsibilities Responsible for the creation and QC review of SDH subtitle files using Pixelogic proprietary cloud based subtitling software Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications Handle rejections/make corrections in files Remain current with industry trends, and adapt to evolving client requirements Maintain the confidentiality of sensitive content. Requirements: Native speaker of Kazakh with a strong command of English Familiarity with additional languages is a valuable plus At least 2 years of experience in subtitling translation and/or proofreading is essential Exceptional attention to detail and commitment to accuracy Proven track record of meeting tight deadlines with flexibility in working hours Skilled at adhering to technical guidelines and style guides across diverse client content

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Business Development Representative, you will play a critical role in driving revenue growth for the Fin Sales organization through effective pipeline generation. Our role is to lay the foundation for Fin Sales by engaging with prospects and customers, helping them understand the value of Fin through creative & engaging prospecting. We invest in our BDRs. We strongly believe in giving our team the opportunities to grow & develop at Fin, to push themselves outside of their comfort zones to achieve goals they never thought possible.  In joining the Business Development team at Fin, you join a community that believes in development and promotion from within. We’re looking for people who are excited to work in a fast-moving company, make an impact, and rapidly develop their career in sales. As a BDR team, we empower one another to achieve our goals, exceed expectations and continue to deliver real business impact. We’re looking for a teammate to do the same! What will I be doing? Creating and prioritizing strategic target account lists with Account Executives Generating new business pipeline for Account Executives through cold calling, email, social etc. Providing a great experience for Fin's prospective customers Maintaining an up-to-date knowledge of our product and its value to customers Demonstrating an ability to attract new customers Working with other functions to improve business processes Engaging in team development and mentoring What skills do I need? Strong desire to build a career in Sales, you want to be an Account Executive or a closing based role in the future 1+ year of customer-facing work experience (Sales and/or SaaS experience is a +) Operational Excellence: You can use your time in an effective and efficient manner to complete revenue driving activities, you can quickly identify where to focus your efforts to drive more pipeline. Competitive Landscape & Industry Knowledge is crucial. You’ll bring an understanding of the SaaS landscape and our target verticals. You always want to stay on top of the latest news & industry trends. Prospecting skills (cold calling, email, social) You know how to leverage modern sales engagement tools to deliver prospect engagement across multiple channels (phone, email, LinkedIn) Communication You can articulate your thoughts and express ideas effectively using verbal, written and non-verbal communication skills (to inform, instruct, and persuade), to different audiences. You listen effectively and love to partner and collaborate with your peers Growth Mindset You’re self-aware and understand both your strengths and weaknesses. You understand every day is an opportunity to be 1% better than the day before. You proactively seek feedback. Results Oriented You bring a never settle approach to quota, progression and team development. Results oriented SDRs are hungry to succeed and raise the bar. Bonus skills & attributes Bachelor's Degree preferred Familiarity with these systems and tools: (SFDC, Outreach, Cognism, Zoominfo, LinkedIn Sales Navigator) #LI-Hybrid #LI-RH1 Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Japan; Remote; Singapore About the role We are seeking a hands-on Security Engineer who thrives in a startup environment. You'll work alongside product owners and engineers with the objective to secure the products in Startale's ecosystem. Products include a next-generation decentralized exchange with a fully on-chain order book (Strium), a user-facing application (StartaleApp) and a stablecoin (USDSC). This is a hands-on, technical role . You'll be the person who actively tests our systems, hunts for vulnerabilities, models threats against our products, and works with engineers to close the gaps — not the person who writes policies and generates reports. You'll report to the Security Lead and collaborate daily with Backend, Frontend, DevOps, and Blockchain engineering teams. Why this role Startale's products handle user funds and on-chain transactions so security work has tangible impact. Owning the security posture of a project at scale and complexity such as Strium is an opportunity for professional growth. You will have direct influence over how product security is built across the organization. Focus is on driving product security and not on maintaining compliance documentation. Our team is backed by and partnering with leading Japanese enterprises so you will have a chance to work in a stable and well-funded company but with the autonomy and speed of a small team. Key responsibilities Security Assessments & Penetration Testing : Conduct hands-on security testing of our applications, APIs, and infrastructure. Simulate real attack scenarios against our products. Find the vulnerabilities before external attackers or whitehat researchers do. Work with engineers to fix issues pragmatically. Threat Modeling : Build threat models for new services and features — especially Strium's trading engine, order book, and transaction flows. Identify attack surfaces, model adversary behavior, and define what needs to be hardened before launch. Vulnerability Triage & Remediation : Own the end-to-end lifecycle of findings — from discovery through severity assessment, developer-facing write-ups, remediation guidance, and verification of fixes. Coordinate with engineers so issues actually get closed. Vulnerability Disclosure & Bug Bounty : Manage incoming whitehat reports, validate findings by reproducing them, assess severity, communicate with researchers. AI Tools Security Support : Assess technical risks related to AI tools used within teams (such as data exfiltration, prompt injection, training-on-input), maintain security baselines for AI coding tools and review AI-powered internal tools. Qualifications Must-have 5+ years of hands-on experience with a focus on application security, penetration testing, or product security. Demonstrated ability to find vulnerabilities — through manual testing, architecture and/or code review, or creative attack simulation. You should be able to describe specific bugs you've found and how you found them. Practical experience with exchange or trading platform security — from a DEX (preferred) or DeFi protocol. You should understand order book mechanics, transaction flows, wallet security, and the threat landscape specific to trading infrastructure. Scripting and automation ability — you write tools and automate to scale security across the stack, not just audit and write reports. Experience triaging vulnerabilities and writing clear, actionable remediation guidance for developers. Strong written communication in English — you'll write tickets, assessment reports and researcher responses. Strong plus Experience with cloud infrastructure security — least-privilege enforcement, network security, secrets management. Experience with container security — network policies, RBAC, pod security standards, image scanning, Dockerfile hardening, base image management. Ability to read and review code in at least one of: TypeScript/JavaScript, Solidity, Rust. Understanding of software supply chain security, including dependency risks, build integrity, and methods for tracking what components are included in shipped software. Experience managing or participating in a bug bounty program (e.g. Immunefi, HackerOne). Domain plus Experience securing AI/LLM tooling in engineering teams — prompt injection risks, data leakage prevention, tool configuration hardening Japanese language ability (not required, but useful for company context) Location / Timezone Strong preference for Tokyo-based or Singapore-based candidates - Startale office locations. Remote-friendly for exceptional candidates — must have 3+ hours overlap with Tokyo business hours (JST, UTC+9). Target start date As soon as available; realistic target start of Q3 2026. Target companies Decentralized exchanges, DeFi protocols, blockchain security firms, L1/L2 chain security teams, or fintech companies with trading infrastructure. We're also open to strong AppSec engineers from cloud-native startups who have genuine interest in web3. Ideal candidate You're a hands-on security engineer who finds real vulnerabilities, not just runs scanners. You've secured a trading platform or exchange and understand the threats specific to financial infrastructure — order book manipulation, transaction signing, wallet compromise, front-running. You can take a system, map the attack surface, and come back with findings that matter. You write clear reports that engineers act on, and you know the difference between a theoretical risk and a real one. You're comfortable working independently in a fast-moving team where there's no playbook — you write the playbook.

Location: Ukraine The Opportunity Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

Location: United Kingdom The Opportunity Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

Location: Serbia The Opportunity Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

Location: Romania The Opportunity Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement