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ML Infrastructure Lead About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Chief Scientific Officer Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership role sitting across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone who can think strategically about long-term platform capability, while still being technically hands-on enough to solve complex engineering and operational challenges. • Lead the design and evolution of our ML platform, infrastructure and MLOps capability, • Build and maintain scalable, reliable and secure systems for model training, testing, deployment, monitoring and lifecycle management, • Develop the infrastructure and tooling that enable ML Engineers, Data Scientists and Researchers to work efficiently and ship models with confidence, • Design robust workflows for CI/CD, model versioning, reproducibility, experimentation, feature management and release management, • Own and improve the production environment for machine learning systems, ensuring strong standards for availability, performance, observability and resilience, • Define and implement monitoring across model and platform layers, including system health, data quality, drift, latency, throughput and cost efficiency, • Build or optimise internal self-service tooling and platform capabilities to reduce friction for teams working on ML use cases, • Partner closely with ML, Data, Software and Platform Engineering teams to productionise models and improve the end-to-end ML development lifecycle, • Support the scaling of infrastructure for both training and inference workloads, including high-throughput, real-time or compute-intensive use cases where relevant, • Drive best practice in governance, security, compliance, auditability and operational rigour across the ML lifecycle, • Improve the efficiency and cost-effectiveness of ML systems, including cloud resource usage, compute environments and deployment patterns, • Mentor engineers and act as a technical leader across ML platform and operations topics, • Help define the roadmap for ML enablement, ensuring the platform can support current needs while scaling for future growth You will have experience working in high growth, fast paced tech-first environments. You are passionate about building & launching quality products that have a positive impact. You’re an experienced product leader with a background in security, identity (IAM), or enterprise SaaS. You combine strategic vision with operational rigour, and you’re motivated by delivering usable, secure, and elegant solutions to complex technical problems. • Proven experience in a senior MLOps, ML Platform, ML Infrastructure, Platform Engineering or Machine Learning Systems role, • Strong hands-on background in software engineering and cloud infrastructure, ideally with direct experience supporting production machine learning environments, • Experience building and operating systems that support the full ML lifecycle, from experimentation and training through to deployment and monitoring, • Strong knowledge of Python and sound engineering principles, including testing, automation and code quality, • Strong experience with cloud platforms such as GCP, • Experience with Docker, Kubernetes and modern containerised deployment patterns, • Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration, • Experience with tools such as Airflow or similar platform and orchestration technologies, • Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility, • Experience designing scalable infrastructure for ML workloads, including training, batch inference and real-time serving, • Strong appreciation of reliability, security, governance and operational excellence in customer-facing or production-critical systems, • Ability to operate across both strategic and hands-on technical work, • Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves • Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads, • Experience with GPU infrastructure, distributed training or high-performance compute environments, • Familiarity with feature stores, model registries and automated retraining pipelines, • Experience building internal developer platforms or self-service ML tooling, • Experience in regulated, high-security or high-availability environments, • Experience leading or mentoring engineers in a scale-up or high-growth technology business, • Familiarity with responsible AI, model governance or risk controls in production ML setting, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

We are currently looking for a talented Senior C++ Developer. In this role, you will interact closely with various departments across our organisation, including the product engineering and customer support teams. As a senior figure, you will also have the opportunity to coach team members and take a leading role in critical software development projects. Key focuses will be contributing to the future technical direction of our main product, gaining deep expertise in our domain whilst promoting modern development practices. Role Responsibilities: • Hands-on C++ software development contributing to the design, maintenance and advancement of complex software, • Stay abreast of the latest developments in C++ and related technologies, contributing to a progressive developer experience, • Mentor and coach junior team members, • Conduct code reviews, embedding quality and promoting best practices, • Collaborate closely with other teams to ensure smooth delivery and knowledge distribution, • Promote a balance between business value, technological improvements, and near-term goals Key Skills: • Expert-level C++ with significant commercial experience, • Strong knowledge of modern features and best practices, • In-depth knowledge of architecture, design, maintainability, scalability and performance, • Excellent collaboration and communication skills, • Industry experience with multi-threading and complex memory management, • Keen interest in continuous improvement and personal development, • Experience with CI/CD pipelines, • Adept in managing legacy code bases, • Experience with higher level languages - specifically Python and C# would be beneficial, • Comfortable working across technology domains and software stacks, • Strong knowledge of Linux and Windows Operating Systems, • Awareness of containerisation and orchestration technologies, • Familiarity with scripting languages, • Experience in collaborative and iterative development approaches, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is required We encourage you to apply even if your experience is not a 100% match with the position. We are looking for someone with relevant skills and experience, not a checklist that exactly matches the job description. We want to help you grow, and in return, you help us grow into a stronger, more inclusive organisation. About Us: We didn’t start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitisation filters in the US Intelligence Community’s highly classified networks. We are rated #1 by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we’re trusted by commercial and government organisations around the world. Inclusion: At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across out business. Each quarter we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better. We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees. We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. Work/Life Balance: Our team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Salary and Benefits: • Glasswall offers a competitive salary and incentives package., • We offer flexible and remote working options, with hybrid working from our Central London office., • Office travel and incidental WFH expense coverage., • 25 days holiday (plus public holidays)., • Private Medical Insurance including mental health support and cancer care., • Enhanced sick pay., • Annual investment in training and professional development., • Company sponsored life, critical illness, and income protection insurance., • Contributory pension scheme., • Access to ‘salary sacrifice’ benefits such as Cycle to Work and Tech Schemes. A successful candidate will live in the United Kingdom and is comfortable working from home with some meetings being held in the London office. Glasswall is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Application process: Interested candidates can email jandersen@glasswall.com or visit http://careers.glasswall.com/ to apply.

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. 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. 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

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. What we do at Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. Who We Need, and Why? We are looking for a highly experienced and product-minded Frontend Engineer with a deep specialisation in frontend systems. You will be a technical leader and a mentor, playing a pivotal role in shaping our product vision and technical direction while driving the delivery of high-quality, user-friendly applications. You will be the go-to frontend subject matter expert (SME), significantly contributing to our technology stack and best practices, and fostering a culture of technical excellence and continuous improvement. While your primary focus will be on the frontend, you'll also have a strong understanding of full-stack systems, from data flow to deployment, ensuring seamless integration and performance. The Role As a Staff/Senior Engineer you will be a hands-on leader, balancing frontend specialisation with an understanding of the full stack. Your experience will cover: Technical Leader & Mentor: You are passionate about mentoring and elevating the technical capabilities of the team. You will act as a technical mentor to other engineers, sharing your expertise and guiding them in best practices for frontend architecture, development, and support Strategic & Tactical: You can balance big-picture vision with hands-on execution. You're action-oriented and eager to take ownership of projects and initiatives Driving Technical Strategy: You will contribute significantly to team discussions, helping to solve complex technical challenges, and proactively identifying opportunities to improve our frontend technology stack and engineering practices. You will influence our technical roadmap and architectural decisions, bringing innovative solutions and staying at the forefront of modern technologies and frameworks Product Ownership: You will take a leading role in designing, developing, and supporting impactful projects, ensuring seamless user experiences with observability baked in. You will champion a strong product mindset with a keen eye for user experience and system design Obsessed with Quality: You are passionate about code quality, maintainability, observability, and best practices across the platform Proactive & Collaborative: You have a proactive approach to problem-solving and can effectively communicate technical concepts to both technical and non-technical team members Balancing Speed & Quality: You are comfortable working in a fast-paced, startup-like environment, balancing speed and quality while demonstrating a strong desire for ownership to deliver high-quality solutions efficiently Team Player: You foster effective collaboration between engineering teams and stakeholders, ensuring alignment and seamless handoffs Leveraging AI: You are enthusiastic about leveraging current and new AI solutions to streamline operations and maximize output, staying at the forefront of changes in AI tools to enhance your role and productivity What You’ll Bring to the Team Demonstrated experience in mentoring engineers of all levels and leading technical initiatives Extensive experience as a frontend subject matter expert, with deep proficiency in React and TypeScript. Experience with Svelte would be a plus A proven track record of building and optimising performant, accessible, and responsive web applications A strong understanding of how data flows through a full-stack system, from the API to the user interface Deep knowledge of UI/UX best practices and creating great user experiences Significant familiarity with site reliability engineering (SRE) principles as they apply to frontend applications, including a strong understanding of modern build tools, CI/CD pipelines, and cloud-based deployment processes Experience with containerization and orchestration technologies like Docker and Kubernetes (K8s) Extensive experience with testing frameworks for both frontend and backend (e.g., Jest/Vitest, React Testing Library, Cypress) Strong awareness of security best practices A degree in Computer Science or a similar field is preferred What level we are looking for: We are looking for either a senior or staff level engineer. On applying please select the appropriate level for what you think will best suit your skills. We are open to Hybrid or remote applications from within the UK.

Primer is the world's first unified payment infrastructure, founded by former leaders of Braintree and PayPal. We unify fragmented payment and finance systems into a single, intelligent platform, automating the entire payments lifecycle from acceptance and orchestration to reconciliation, FX, and financial operations. Trusted by leading merchants worldwide, we give finance, payments, and engineering teams the tools to move faster, reduce complexity, and unlock growth. Our open, modular platform connects to 150+ services across the payments ecosystem, while our expanding CFO product suite brings unified reconciliation, FX management, and financial visibility across markets and currencies. Backed by Accel, Balderton, ICONIQ, and Tencent, we're setting a new standard for how the world moves money. At Primer, Solutions Engineers are trusted technical advisors to some of the most forward-thinking companies shaping the future of commerce. We don’t just support merchants, we empower them to build smarter, faster, and with confidence on top of Primer’s unified payments infrastructure. From day one, you’ll work closely with product, engineering, and commercial teams, translating complex needs into scalable solutions, guiding technical strategy, and ensuring every integration is rock-solid. Whether you’re unblocking a proof of concept or future-proofing an architecture, your focus is on making things possible. This role is perfect for curious minds who thrive at the intersection of technology and impact. You’ll bring clarity to complexity, act as a critical voice in shaping product evolution, and make sure our merchants don’t just go live: they go further. If you’re excited by meaningful challenges, collaborative problem-solving, and the chance to drive change at a global scale, we’d love to meet you. Working closely with our growing sales team to identify merchant pain points; and consulting with those merchants on the value of Primer to address those pain points Providing technical expertise to the sales team to partner with them in business development Translating business requirements into technical solutions, and translating complex technical concepts into simple language Driving forward client engagements via discovery sessions, solution design workshops, product demos, developer Q&As, and more Collaborating with our Product team, using your market learning to identify feature enhancements, as well as new features entirely, that we can bring to market to best serve our merchants Previous experience in a merchant facing role with a complex API product, ideally in payments Confidence and ease in leading discovery sessions and working with technical counterparts at some of the largest merchants Deep interest or knowledge about tech. Being able to understand, explain, and design complex technical specifications is key. Creativity and improvisational skills. Rarely are two merchants alike, and you don’t always have days to prepare for them. Great communication & presentations skills - you can make the complicated sound simple and interact with stakeholders, technical and non-technical, alike A collaborative approach - to efficiently work with clients, partners, and internally, with Product, Engineering, and Sales Drive and motivation; we’re growing fast and we want you to grow with us! Someone who gets things done and makes an impact Experience working in a fast-paced and scaling environment You enjoy working in an office-setting, we are remote-first and always will be! You are not comfortable with shifting context and navigating ambiguity 30 minute call with a Talent Partner 45 minute interview with our Hiring Manager Challenge Stage - Contextualised to Primer! 60 minute values alignment interview _ _ We’re building a culture where people can come and do their best work and enjoy it. We want our people to be proud of the impact that they have at Primer, and of the work that they are doing. You will be working with a team of people who are mission-driven, smart, and reflective, and who are invested in building exceptional products and delivering success for our merchants (and we also know how to have fun along the way). We work remotely. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships with each other through great remote working practices and thoughtfully designed face-to-face time together. Our heads-together time comes in the form of workstations, our annual company retreat, and co-working space access worldwide. Finally, let’s go ahead and say it. The work that we do is challenging. Startups are a challenge, building category defining products is a challenge. You should be prepared for a challenge at Primer. But, there’s a big difference between a challenge and a struggle. The key difference is that the right challenge comes with the right support structures, an acceptance that not everything always goes to plan, a collaborative environment, and a great team around you. It’s never a challenge that you will face alone. 🌍 We are fully remote and globally distributed; and have been since day one 💰 Competitive share options 🌴 Uncapped holiday, with 25 days minimum to be taken 🗣️ Co-working space access 📅 Workations & Company Retreat 💻 The best equipment for your role 🏠 £500 towards your home office setup 🔎 Generous learning budget 🏥 Private Medical Insurance 📈 A broad set of additional perks and benefits (depending on location) At Primer, we’re dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply. You may be the right candidate for this or other roles. Primer is committed to the equal treatment of all current and prospective employees, regardless of background or beliefs. Primer adopts a zero-tolerance approach to discrimination. We are committed to providing equal opportunities to all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: • Effective in working with customers, including business executives, project managers, and IT development staff., • Effective in understanding business needs and distilling the information into business and technical requirements., • Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture., • Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions., • Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers., • Be a strong advocate for adherence to standards and best practices., • Stay current on Grafana Labs, observability, and related technologies., • You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements., • If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: • Located in the UK, • 5+ years of experience working on deployment teams, using project management techniques., • Direct experience with o11y., • Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo)., • A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers, • Excellent communication skills to communicate with customers, partners, and internal members., • Kubernetes (kubectl, Helm, Tanka preferred)., • Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: • Self-starter, adept at picking up new skills and technologies, and eager to break new ground., • Vision to help us take our company to the next level. Compensation & Rewards: In the UK, the base compensation range for this role is £103,900 - £124,500. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

As a Channel Sales Manager, you will play a critical role in accelerating Postman Enterprise adoption by developing and executing partner-led sales motions. Strong understanding of partner-led sales motions, including co-selling, joint account planning, and opportunity orchestration with direct sale

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact _. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. As a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future. Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities. Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions. Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth. Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition. Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders. You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem. You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications. You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes. You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery. You find novel, clever solutions for project delivery and take ownership for successful project outcomes. You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders. Talent Team Screen (30 minutes) Introduction to the role (45 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial & Leadership Interview (60 minutes) We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

Flosum is a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams across the Fortune 5000. We are in wartime. Pipeline generation, retention, and product velocity are our three highest-priority problems, and AI is the lever that accelerates all three. We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. This is not a "prompt engineering" role. This is a builder role. You will sit at the intersection of revenue operations, sales, marketing, and customer success, and your job is to make every human on the GTM team dramatically more productive by deploying AI systems that generate pipeline, accelerate deals, and reduce churn. You report directly to the CEO. WHAT THIS ROLE MUST DO TO CHANGE FLOSUM'S TRAJECTORY • Deploy and personally train at least one AI SDR agent within the first 30 days — focused on either inbound qualification from Qualified/Marketo or outbound prospecting via Outreach — and run weekly refinement cycles until it outperforms the bottom half of the human BDR bench., • Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real time so no lead waits, no lead gets lost, and AEs only touch prospects that are ready to buy., • Increase revenue-generating time per AE from the current ~25% to 50%+ by automating CRM hygiene, call summarization (via Gong), follow-up sequencing, proposal drafting, and pipeline updates — eliminating every minute of admin work that doesn't directly produce revenue., • Architect the AI layer across Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) so that data flows between systems without manual intervention, every customer touchpoint is captured, and AI agents share learnings in a virtuous loop with Salesforce as the hub., • Build and maintain an AI-driven competitive intelligence engine that monitors our competition, pricing changes, and product launches — and feeds structured insights to sales and product weekly., • Create hyper-personalized outbound campaigns at 10x current volume without proportional headcount increase — using AI to research accounts, generate personalized messaging based on ICP signals (Salesforce team size, current DevOps tooling, compliance requirements like DORA), and sequence multi-channel touches across email, LinkedIn, and phone., • Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance so that ICP targeting, messaging, and channel mix improve every week based on actual conversion data — not guesswork., • Deploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewal, feeding Terry's CS team with actionable intervention triggers tied to usage data, support ticket patterns, and engagement signals., • Prototype AI-powered product-led growth touchpoints — including conversational qualification on the website, self-serve onboarding assistance, and automated nurture for trial users — supporting the PLG motion as it matures., • Evaluate, select, and deploy no more than two AI vendors per use case using a structured bakeoff methodology: reference checks via email, FDE conversations before contract, and 30-day dedicated training commitments — no lazy agency deployments. Hands-on experience deploying and training AI SDR/BDR agents in a real B2B sales environment — not evaluating, not advising, actually deploying and iterating weekly for at least 90 days. Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Marketo or equivalent MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer, but you need to ship working code, not just configure no-code tools. Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to SQLs required, conversion rates by stage, and the specific AI interventions that move each number. If someone says "we need 67 SQLs per quarter at 20% win rate and $75K ASD," you should immediately know where AI can compress that funnel. Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce). Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup. Comfort operating in a company doing ~$4M ARR with a small, high-intensity team. You will not have a large support staff. You will do the work yourself and scale through automation, not delegation. Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all. Familiarity with the Salesforce ecosystem — understanding of DevOps, CI/CD, data protection, and compliance workflows is a major advantage. You don't need to be a Salesforce admin, but you need to understand what our buyers care about and why 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

Are you a highly skilled Backend Engineer looking to make a significant impact on a global scale? Join Spotify's Commerce Platform and help us build the next generation of our robust, high-performing, and resilient commerce ecosystem. This is an exceptional opportunity to tackle complex challenges, shape our technology stack, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we own the critical backend services and extensive datasets that power end-to-end merchandising, sophisticated order management, seamless payment orchestration, and intuitive purchase flows for millions of users worldwide. Your expertise will be instrumental in evolving our technology stack, driving innovation, and directly impacting Spotify's business growth. • Architect and implement highly scalable backend systems and robust data pipelines from concept to deployment, ensuring the right capabilities are delivered within Spotify’s internal commerce platform, • Lead the design and development of critical features in our Java and Python backend services, contributing to a high-volume, low-latency environment, • Design, build, and optimize data pipelines, ensuring efficient and reliable data processing for our commerce insights and operational needs, • Drive operational excellence by championing best practices in monitoring, alerting, and incident response for our production systems, • Collaborate closely with talented engineers, product managers, and cross-functional teams across Spotify to deliver impactful solutions for our users, • This role has on-call rotation, • 5+ years of working experience in a similar role, • Experienced building and scaling Java and/or Python backend services within a large-scale, cloud-native environment (e.g., Google Cloud Platform or equivalent), • Experience of building and maintaining data pipelines, • Knowledge and practical experience with scalable database technologies like PostgreSQL, • Excellent problem-solving skills with a strong bias for action and a pragmatic approach to engineering challenges, • Exceptional communication and collaboration skills, comfortable driving technical discussions, presenting complex ideas, and working effectively with diverse stakeholders, • A self-driven, proactive engineer who thrives in a collaborative team environment and is committed to continuous improvement through feedback and shared learning, • Experience in e-commerce, financial engineering, or high-volume transaction processing domains is a bonus, • This role is based in London, United Kingdom, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times a week.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (peferred) Python Proficiency: Experience with Python for AI prototyping and tooling (prefered) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. We are looking for a Staff Backend Engineer to join our Grafana Backend Services squad. The Opportunity: The Grafana backend Services squad’s mission is to deliver the best Grafana service to both On-Prem and Cloud customers in a unified, end-to-end manner, from ownership of the API codebase all the way to operation of its components. Today, this means taking charge of multiple components such as the Grafana Backend API itself and the CLI tool, but also all the orchestration infrastructure required to deliver Grafana at the scale of our Cloud product. What You'll Be Doing: • Work with your team to deliver new functionality, then use the results to iterate and improve, • Contributing to and reviewing design documents for upcoming features, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Take an active role in influencing our roadmap and your career objectives, • Be a part of your team’s on-call rotations and take ownership of the services you’re running, • Mentor and support other team members, participate in design discussions, and collaborate with the team, • Regularly sharing ideas and knowledge across a vast array of technical ideologies and mindsets, • Working closely with the other squads in the Grafana Division We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: • Have solid backend development experience, ideally with Go, • Good understanding of storage solutions with an emphasis on relational databases like MySQL, SQLite, and Postgres, • Care deeply about developer and user experience and the quality of the products that you work on, • Have experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way, • Have experience writing clean, robust, and performant software that is easily maintained by others, • Have experience with mentoring junior engineers in a collaborative but asynchronous environment, • Enjoy working on complex solutions – Grafana is a highly technical solution and has avid followers who rely on it every day and care deeply about their workflows., • Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively Bonus Points For: • Experience with open-source software and/or commercial open-source companies, • Experience working with Docker and Kubernetes, • Experience with CI/CD, DevOps, or Developer Efficiency work streams, • Been a user of Grafana and Prometheus in operational roles, • Familiarity with being on-call and performing operations/SRE tasks, • Exposure to microservices architecture and distributed systems, or a desire to learn Compensation & Rewards: In the UK, the Base compensation range for this role is £91,000 - £114,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Our tech stack is primarily python and includes Django, React, AWS, and additional technologies like Retool and Prefect. Familiarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc.

Role Description: Skills Required: • Understanding of the key technologies relevant to the ServiceNow integration solutions including: SSO, SAML, SSL, Web Services, LDAP, JDBC, ODBC, REST, SOAP, SCP, FTPS, JSON, • ServiceNow Developer certification is a plus, • Experience with other ITSM software (BMC Remedy ITSM, HP, Landesk, etc.), • Experience with orchestration tools (ex. HP Operations Orchestrator, BMC Atrium Orchestrator), • Micro-services architecture knowledge, enterprise integration patterns, • Experience in Jira, Confluence, Rabbit MQ, Apache Camel, DevOps, • Experience developing and implementing systems using Agile/Scrum methodology, • Experience with working or developing with JavaScript - HTML5, Jelly, jQuery and AngularJS a plus

Job title: Senior GoLang developer Job location: Brighton, Burgess Hill or London Job type: Contract 12 Months Work mode:Hybrid, 3 days from the office/week JD: Minimum years of experience: • experience on mandatory relevant skills (Golang, Kubernetes, Docker) of 4+ years, • total experience to 5+ Required Core Skills: Development experience with: 1. strong in Golang, 2. Kubernetes, 3. Docker Minimum Qualifications: • Position requires a Bachelor’s degree in Computer Science, Engineering, or a related field followed by 6+ years of experience in Golang development stack., • Experience in application design, software development, and testing, preferably in an Agile environment., • Solid understanding of test-driven development, including unit, component, functional, system integration and regression tests., • Experience working with Git on small to medium sized teams., • Experience designing and developing REST APIs for high volume clients., • Experience with open-source frameworks is a plus especially maintaining or contributing to open source projects!, • Experience with container and container orchestration technologies, such as Docker and Kubernetes., • Comfortable/experienced with back-end micro-service architecture and communication, specifically REST and asynchronous messaging services (e.g., Kafka, RabbitMQ etc.), • Experience with relational and NoSQL databases, including PostgreSQL, Couchbase, or Cassandra is a plus., • Experience with continuous integration tools (Github Actions, Jenkins, Gitlab CI) a plus., • Experience with automated build and test frameworks a plus., • A proven hunger to learn new technologies and translate them into working software., • Experience with Atlassian software development and collaboration tools (JIRA, Confluence, etc.), a plus., • Strong ability to develop unique, outside the box ideas, • Strong analytical, problem-solving/quantitative skills, • Willing to take risks, experiment, and share fresh perspectives, • Aptitude for learning and applying programming concepts., • Ability to effectively communicate with internal and external business partners. Preferred Additional: • Knowledge of payments industry, • Experience with coding skills across a variety of distributed technologies, • Experience with a broad range of software languages and payments technologies

Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start Role: Senior Data Engineer Location: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. Start Date: Must be able to start mid-August. Salary: £80k-£90k (Senior) | £90k-£95k (Lead) About The Role Our partner is looking for a Senior Data Engineer to join a high-impact engineering team delivering scalable data solutions for complex marketing and customer insight use cases. This is an opportunity to work on cutting-edge data pipelines, cloud-native platforms and real-time data flows in a collaborative, forward-thinking environment. You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities • Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark., • Design and implement robust ETL/ELT solutions for both structured and unstructured data., • Automate workflows and orchestrate jobs using Airflow and GitHub Actions., • Integrate data with third-party APIs to support real-time marketing insights., • Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product., • Champion best practices in data governance, observability and compliance., • Contribute to CI/CD pipeline development and infrastructure automation (Terraform, AWS DevOps)., • Provide input into technical decisions, peer reviews and solution design. Requirements • Proven experience as a Data Engineer in cloud-first environments., • Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift)., • Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc)., • Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting., • Hands-on experience with workflow orchestration tools such as Airflow., • Strong version control and DevOps exposure (Git, GitHub Actions, Terraform)., • Familiar with data quality tools and metadata/cataloguing (e.g. Great Expectations, Unity Catalog)., • Beneficial: MarTech domain knowledge. Notable: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. You must be able to start in August. Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start

Location: Hybrid (UK) Engagement: Embedded, full-time Experience: 6+ years in deep-tech / semiconductor / hardware recruitment (in-house, embedded/RPO, or agency) You will embed into a high-growth deep-tech business as their dedicated recruiter, operating day-to-day as an extension of the internal People function. This is an execution-heavy, high-judgement role: you will own complex technical hiring end-to-end, move at pace, and help build a repeatable hiring engine that scales. This is not generalist tech hiring. You will be working in highly specialised markets where credibility, precision, and persistence matter. As an Embedded Recruiter (Senior Talent Partner), you will run full lifecycle hiring across deep-tech engineering and selected commercial leadership roles depending on priority and region. You will embed with hiring managers, align on success profiles, build targeted sourcing strategies, and deliver high-quality shortlists for niche roles. You will be expected to recruit for highly specialised positions including (examples): Senior Digital IC Design Engineers Senior Analog / Mixed-Signal IC Design Engineers Memory design specialists and adjacent R&D engineering talent Additional deep-tech engineering roles across IC, hardware, and systems, as required Select head-office roles where needed (e.g., Business Development, Product, Partnerships) 1) Own delivery (end-to-end) Lead structured intake sessions (success profile, scorecard, interview plan, compensation context) Build and execute sourcing strategies for scarce deep-tech talent across the US and Europe Run full recruitment lifecycle: outreach, screening, shortlist quality, interview orchestration, offer strategy, close Deliver a high-touch candidate experience that reflects a mission-led, technical environment 2) Recruit with technical fluency Learn and communicate a complex technology story clearly and confidently Hold structured conversations with IC design and deep-tech candidates (without needing to be an engineer) Translate technical requirements into practical sourcing signals and screening criteria 3) Build a scalable hiring engine Operate an ATS as the source of truth with clean workflows, stages, and reporting Implement structured interview scorecards and repeatable hiring playbooks Create weekly operating cadence: pipeline reviews, hiring manager updates, decision discipline Support the foundations of employer brand in outreach and messaging consistency (where relevant) Consistent progress against priority roles with clear funnel health and fast feedback loops High quality, curated shortlists for niche deep-tech positions (quality over volume) Strong stakeholder trust built through crisp communication, ownership, and pace A hiring process that improves every month because you systemise it, not because the business slows down 6+ years recruiting in deep tech (semiconductors, IC design, hardware, advanced materials, compute infrastructure, or similarly technical domains) Track record hiring across Digital IC, Analog/Mixed-Signal, and/or specialised engineering disciplines Strong stakeholder management: able to align, challenge, and drive decisions without politics High output and high judgement: speed with a high bar Data and process mindset: you naturally run structured pipelines, metrics, and cadence Comfort operating across geographies and time zones with clear written communication This is an embedded role in a deep-tech environment at an inflection point. You will be trusted to operate like an internal owner, with real accountability for outcomes, quality, and pace. We are committed to building a diverse, inclusive workplace. If you need adjustments at any stage of the process, we will support you.

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. The Global Alliance Manager for Hyperscalers & GSIs exists to architect, commercialize, and scale Sonatype’s most high-leverage strategic partnerships worldwide. Positioned at the critical intersection of elite cloud ecosystems (including Amazon Web Services and Microsoft Azure) and tier-1 Global System Integrators (such as Deloitte, Capgemini, Infosys, and Cognizant), this role is the primary engine for driving partner-vetted pipeline expansion and programmatic co-sell acceleration. Operating at the Senior/Lead level, you do not manage passive referral lists; you build unassailable commercial frameworks that embed Sonatype's AI-driven DevSecOps intelligence natively into large-scale cloud modernization and digital transformation practices. This high-velocity role is engineered for a highly motivated, independent team player with deep business acumen and a proven track record of shifting seamlessly between program development and field execution. Based on the US East Coast and/or EMEA with a global coverage footprint, you will serve as the connective tissue between individual contributors, senior sales executives, and external channel leadership. You must be comfortable wearing multiple hats simultaneously operating as a program manager, business analyst, and business development manager to design joint sales initiatives, build deep technical relationships, and systematically map target accounts. Ultimately, this individual holds absolute accountability for achieving and exceeding quarterly and annual revenue objectives by unlocking new enterprise logos and maximizing cloud-spend monetization. Programmatic Co-Sell Acceleration: Establishing repeatable, high-velocity co-selling mechanics natively within the AWS ISV Accelerate framework and Azure partner ecosystems, ensuring Sonatype is attached directly to enterprise cloud-migration blueprints. Marketplace Transaction Optimization: Driving a measurable reduction in customer procurement cycle times by seamlessly structuring and executing Channel Partner Private Offers (CPPOs) to burn down existing enterprise cloud-spend commitments (e.g., AWS EDP, Microsoft MACC). Strategic Practice Integration: Successfully positioning Sonatype’s platform—including our SBOM Manager and Repository Firewall—as the default secure SDLC reference architecture within the DevSecOps and AppSec consulting practices of tier-1 GSIs. Revenue Target Domination: Consistently achieving and exceeding assigned global quarterly and annual revenue objectives through highly structured, high-yield co-selling motions. Ecosystem Capability Elevation: Developing internal and partner ecosystem training playbooks that build real-world capability, ensuring partners can independently demonstrate product value and protect the customer lifecycle. Field Alignment Synergy: Synchronizing sales cycles so that field teams across North America and EMEA experience frictionless co-selling, utilizing joint account-mapping cadences to systematically unlock new enterprise logos. Partner-originated and partner-influenced pipeline metrics meet or exceed assigned segment targets quarterly. Cloud marketplace gross transaction volume (GMV) scales continuously, making Sonatype the preferred mechanism for enterprises securing cloud-native environments. Joint value propositions and technical alliance frameworks are maintained with absolute precision, clearly differentiating Sonatype against legacy SCA market alternatives. Account mapping initiatives bridge the gap cleanly between the sales field and partner target accounts, driving targeted alignment with Sonatype sales CapDB A/B focus accounts. Alliance Architecture Strategy: Design and execute the global co-sell and commercialization roadmap for designated cloud marketplace and system integrator ecosystems. Planning & Business Review Governance: Lead and execute an annual and quarterly business planning process using a strategic planning model to identify key go-to-market strategies and clear revenue metrics. Pipeline Forecasting Rigor: Provide regular, high-integrity weekly forecasts of partner sales within your designated region, maintaining a real-time, updated view of partner pipelines, deal flow, and historical metrics. Commercial Framework Engineering: Structure, negotiate, and execute complex Cloud Partner Private Offers (CPPOs) and multi-party enterprise transaction models to close new accounts and expand existing partner revenues. Ecosystem Program Creation: Design and lead joint programs with Sonatype partners to generate net-new business in existing enterprise footprints and break into untapped vertical markets. Platform Enablement & Certification Strategy: Build, maintain, and scale the partner sales enablement framework, utilizing internal tools (e.g., Lessonly/SmarterU) to track partner certification progress, tier achievements, and training status. Product Launch Synchronization: Collaborate with Global teams to ensure all upcoming and newly launched products have appropriate partner-facing go-to-market enablement tools, communications, and marketing collaterals. Partner Assessment and Recruitment: Conduct continuous recruitment, validation, and performance assessment of partners against defined tier requirements and regional corporate growth objectives. Cross-Functional Collaboration Loops: Partner closely with Sales, Marketing, Product, Solution Engineering, and Customer Success teams to orchestrate successful cross-functional joint campaigns, webinars, quarterly webinars, and the annual Partner Summit and Awards. Cloud Marketplace & Channel Fluency: 5+ years of demonstrated success in B2B tech channel sales, software solution management, or working with Value-Added Resellers (VARs) and tier-1 partners, with an unassailable track history of exceeding quotas. Strategic Enterprise Vision: Ability to build an operational partner architecture that anticipates global business challenges 12-24 months out, applying critical thinking and sound business judgment to measure and handle the business. Multi-Persona Communication Mastery: Outstanding written, verbal, and interpersonal communication skills; highly effective at securing meetings and closing business with senior-level channel executives, while maintaining strong collaborative links with internal individual contributors. Demand Generation & Program Orchestration: Proven experience planning and managing a systematic approach to demand generation, co-marketing initiatives, and joint pipeline development loops with partners. Dynamic Role Agility: Demonstrated capacity to seamlessly pivot roles at any given time—wearing the hat of a program manager, technical business analyst, or business development lead depending on deal or ecosystem complexity. Proactive & Innovative Sourcing Logic: A proactive, creative, and innovative mindset that consistently generates net-new ideas to support and drive divisional pipeline priorities through sales programs and strategic alliances. High-Velocity Execution Mindset: High energy, enthusiasm, and independent work ethic, with the structural maturity to work cross-functionally and garner immediate support from multiple internal and external stakeholders. Things that we are proud of 2025 AI Compliance Solution of the Year - AI Breakthrough Awards 2025 DEVIES Award to our SBOM Manager new product for its innovation and impact in developer technology 2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report) 2023 Fast Company Best Places for Innovators 2023 Gartner's Magic Quadrant 2023 Software Report's Top 100 Software Companies 2023 BuiltIn Best Places to Work 2022 Frost & Sullivan Technology Innovation Leader Award 2022 PeerSpot Silver Peer Award in Software Composition Analysis 2022 Tech Ascension Best DevOps Security Solution Award 2022 NVCT Cyber Company of the Year Company Wellness Week - We shut down company operations for a week to enable all employees to pursue personal growth and enjoy a much-needed and deserved rest. Paid Volunteer Time Off (VTO) At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.