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Product Manager - AdTech - Remote (UK or Europe) About the company A fast-growing, global business in digital advertising and performance marketing. The platform uses AI-driven solutions to protect and improve advertising investment for businesses of all sizes, helping brands and SMEs get more from their ad spend through automated, data-led tools. The business is scaling its self-serve product fast. This is a lean, product-led team where ownership actually means ownership. You'll have direct access to senior leadership, real autonomy, and the chance to shape a product that's growing quickly in an international market. About the Product Manager role You'll take full ownership of a self-serve product used by SMEs to sign up, connect their ad accounts, and manage everything independently, no sales or CS needed. The platform gives SMEs a single solution for managing their digital advertising across channels like Google Ads and Meta, and you'll own how that experience comes together. Think onboarding, activation, subscription billing, and retention, end to end. You'll report directly to the Chief Product Officer and work closely with engineering, design, marketing and customer success. Your focus: turning trial users into paying customers and keeping them there. There's real scope here for a Product Manager who wants more autonomy and a bigger remit, plus hands-on exposure to AI as it becomes a bigger part of the product roadmap. This will suit someone who wants to gain more experience with AI (building prototypes and driving efficiency across workflows). What you'll be doing Own the roadmap for a core product area, from strategy through to delivery Define, prioritise and sequence the backlog to drive trial-to-paid conversion, MRR growth and churn reduction, making clear trade-off calls and communicating them confidently to engineering and leadership Improve onboarding, activation and conversion across the self-serve journey Manage the subscription lifecycle: billing, upgrades, downgrades, retention flows Define and shape the onboarding experience for customers connecting multiple ad platforms (for example Google Ads and Meta), making sure the journey stays smooth as complexity grows Work closely with engineering and design to ship high-impact features Use data and experimentation to drive prioritisation decisions Partner with marketing on lifecycle messaging and email journeys that drive conversion What we're looking for Product Owner or Product Manager experience in a self-serve or subscription product Some exposure to Meta Ads, Google Search, or paid advertising more broadly Comfortable owning a product area and making calls independently A data-driven, delivery-focused mindset Bonus: exposure to billing/payments platforms like Stripe Why join Fully remote, join from the UK or Europe Join a growing international business with real momentum Own a product with genuine commercial impact and visibility to leadership Hands-on exposure to AI as it shapes the next phase of the product Competitive salary plus bonus * Salary range €65,000 - €80,000 / £55,000 - £70,000 To be considered for the role you must have full working rights in the UK or Europe and not require sponsorship Contact Jay Thandi for more details

Customer Success Engineer / Manchester (hybrid, Northwest based) | Up to £60,000 + benefits | Go-to-market teamAbout the companyFast-growing, investor-backed data and AI consultancy in central Manchester. The business designs, builds and manages enterprise-grade data platforms, productised on Snowflake, plus the AI use cases built on top.The opportunityThe company is adding a technical seat to its go-to-market team. Working alongside the customer success manager, you come in once the client's requirements are captured, then scope and build a tangible solution and product demo that shows the client what is possible. Think of it as a forward deployed engineer style role, without the requirement to be a full software developer.Today, building demos depends on the CTO's time, which is a bottleneck. Your job is to remove that: turn a client's needs into something real and demonstrable at pace, using modern AI and low-code tooling, and put it in front of the client while the opportunity is warm.What you'll be doingTaking captured client requirements and scoping what the solution could look likeBuilding tangible prototypes and product demos to support pre-sales, at speedIdentifying opportunities, risks and dependencies within a client's environmentPartnering with the customer success manager and the go-to-market team through the pre-sales cycleRemoving the reliance on senior engineering time to produce demosWhat we're looking forExperience in a customer-facing technical role: pre-sales, sales engineering, solutions consulting, implementation or customer success engineeringThe ability to scope a solution and build a working demo that communicates value to a stakeholderA prototyping mindset: you would rather show something working than write a specificationFamiliarity with the modern data and AI landscape (cloud data platforms, SaaS, AI tooling); Snowflake ecosystem experience is a bonus, not a requirementYou do not need to be a full-time developer; speed, curiosity and communication matter moreTechnical skillsEssentialConfident with SQL for querying, exploring and shaping dataWorking knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse)A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable stateAble to build and present a working demo or prototype at pace, including with modern low-code and AI toolingComfortable translating a technical solution into plain business value for a non-technical stakeholderDesirableHands-on with a BI or visualisation tool (Power BI, Tableau, Qlik or Looker)Some Python for data manipulation and scriptingFamiliarity with cloud platforms (AWS or Azure) and connecting source systems such as CRM and ERP via APIsExposure to modern AI tooling (LLMs, copilots, Snowflake Cortex or similar)Snowflake ecosystem experienceNote : We are looking for breadth and speed, not deep data-engineering specialism. SQL and the ability to build a compelling demo matter more than any single tool on the desirable list.Why joinA newly created role with real influence over how Assured wins and deliversA small, senior go-to-market team with direct access to leadershipA fast-moving environment where demos ship in days, not monthsHybrid working from a central Manchester baseTPBN1_UKTJ

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company’s success through options If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace ‍♀️ The Role ‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch

Position Title: Full Stack Software Engineer Reports to: Engineering Manager Location: Remote (UK) Contract type: Permanent About BibliU Sunday Times Tech 100 | Top 10 UK EdTech Company BibliU is an award-winning education company that provides Day 1 access to affordable course materials, making learning more equitable and effective, in addition to providing campus store management. We partner with over 3,000 educational publishers, including Pearson, Oxford University Press, and Wiley, to offer a wide range of high-quality content to students. Our platform provides rich engagement data to academics and allows students to find information faster. We have disrupted the textbook industry by reducing the cost of education significantly and increasing publisher sales. Founded in late-2015, we are a rapidly growing company transforming the way students and educators access and interact with learning materials. Our revenue has grown rapidly, with 150% YoY growth in the last three years. Last year, we raised $21m in a Series B funding round led by Nesta Impact Investments, with participation from Guinness Asset Management, Stonehage Fleming, and Oxford Sciences Enterprises. In late 2023, we acquired Texas Book Company (now ‘BibliU Campus’) in order to deliver a more complete solution of products and services to higher ed students, faculty and administrators across the US! Since the addition of BibliU Campus, we have seen a dramatic increase in customers due to a much improved product market fit. We are very excited about our growth and are expanding the team to meet our new market potential! We are a diverse and inclusive team of professionals who are passionate about education and technology. Our culture is fast-paced, innovative, and dynamic, and we are always looking for talented individuals to join our team. If you are looking for a challenging and rewarding career in edtech and campus store management, BibliU is the perfect place for you. Join us and help revolutionize the way students and educators access and interact with learning materials! Position Overview As a Software Engineer at BibliU, your primary goal is to drive significant advancements in our digital learning platform, directly impacting the learning experience of students and educators globally. In this role, you will: Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Your role as a Software Engineer is not just about writing code; it's about creating tangible outcomes that enhance the learning experience, drive technological innovation, and contribute to the overall mission of BibliU to revolutionise the field of digital education. Our Current Environment Typescript Vue.js Postgres DynamoDB Redis Amazon Web Services Mixture of Lambda & ECS Kubernetes Amazon CDK Github + Github Actions Typescript Typescript Vue.js Vue.js Postgres Postgres DynamoDB DynamoDB Redis Redis Amazon Web Services Amazon Web Services Mixture of Lambda & ECS Mixture of Lambda & ECS Kubernetes Kubernetes Amazon CDK Amazon CDK Github + Github Actions Github + Github Actions Key responsibilities Develop and maintain high-quality software solutions aligned with user needs and business goals. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs in the software. Help maintain code quality, organisation, and automatization. Participate in code reviews and contribute to team learning and improvement. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world. Develop and maintain high-quality software solutions aligned with user needs and business goals. Develop and maintain high-quality software solutions aligned with user needs and business goals. Collaborate with cross-functional teams to define, design, and ship new features. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs in the software. Identify and correct bottlenecks and fix bugs in the software. Help maintain code quality, organisation, and automatization. Help maintain code quality, organisation, and automatization. Participate in code reviews and contribute to team learning and improvement. Participate in code reviews and contribute to team learning and improvement. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world.

🌏 Located remotely (must live in UTC-5 to UTC+2 time zones to apply) 💸 Salary £110,000 👯 Working in the Engineering team Want to ditch the commute, keep meetings to a minimum, and join a team of talented, experienced, and friendly folks? Do you do your best work when you have the freedom to work flexibly and the autonomy to make your own decisions and try new things? We are a profitable, independent company with a fully remote team working asynchronously across Europe, Canada, and South America. We’re building high-quality products for our users in the last-mile delivery space and working on solving complex, real-world problems for drivers, courier companies, retailers, and anyone who receives a delivery! If you’re an experienced Backend Staff Software Engineer who enjoys working closely with product, design, and engineering - and you like tackling complex backend architecture challenges - we think you’ll be right at home here. Just a few of the things we offer on top of salary: Fully remote Flexible working Equity options Annual company performance bonus 32 days of paid holiday Enhanced PTO for parental leave Annual company events and meet-ups We also make sure you have the tools, space, and support to do your best work: £3,200 every three years for a new laptop £500 a year towards new tech or your home office £1,000 a year for learning and development £1,000 a year for conferences £1,000 a year for wellbeing 💫 If you’d like more info about our benefits or to get a better feel for how we work day to day, you can find more in our and on our . As one of a team of three backend engineers, you’ll work across the systems that underpin our products, and focus on reliability, security, and keeping things running smoothly in production. In practice, that means building and improving backend services, supporting distributed systems, and making sure we have the right observability approach in place, from logging through to alerting, so issues are easier to spot and quicker to resolve. You’ll take the lead across multiple backend components, whether that’s shaping system design, digging into complex production behaviour, or driving longer-term improvements to workflows, deployments, and platform performance. As the stack evolves, you’ll be part of conversations about new backend and cloud technologies and deciding what’s worth adopting. A few things that are worth knowing up front: There are no daily stand-ups or lots of recurring ceremonies. On average, you’ll have one meeting a week, and the rest happens asynchronously. You won’t be handed a spec and asked to implement it without question. You’ll work closely with PMs and designers, ask the right questions early, and help shape the technical approach. It’s not a people management role. We don’t work in a traditional management structure, so leadership here comes through technical ownership, leading projects, and supporting the team as you go. And while we do like moving quickly, we don’t ship to hit an arbitrary deadline. The goal is to build things exceptionally well, stay pragmatic, and avoid creating future problems. Comfortable working with a high level of autonomy, while staying pragmatic, collaborative, and open to feedback Experience building and operating large-scale backend systems Experience designing and working with distributed systems, cloud-native architectures, infrastructure as code, and service reliability Experience with at least one modern backend language such as Go, TypeScript, Java, or Python Able to lead complex engineering initiatives and bring technical clarity to ambiguous problems A solid foundation in API design, data modelling, and scalable storage strategies Experience in diagnosing performance issues and supporting high-availability production systems Familiarity with CI/CD pipelines, automated testing, IaC, and modern deployment tooling Good technical judgement, and the ability to communicate decisions clearly and thoughtfully Programming Language: Node/Typescript Databases: PostgreSQL, Firestore Cloud Provider: Google Cloud Monitoring, Observability & Logging: Prometheus, Grafana, Honeycomb, Google Cloud Back in 2017, we saw an issue with last-mile delivery. Delivery drivers have a complicated and stressful job, and although delivery software existed, it neglected the driver experience. We set out to create the app that puts drivers first. We were astounded by the response we received. Drivers told us their job was far less stressful, and they got home earlier every day. Within our first year, we had almost 1,000 customers, $100k in ARR, and a team consisting of our two co-founders, Jack and Pol. Now, with a lean team of ~50 talented people, we’ve grown to $25M ARR, helping over 100,000 drivers deliver more than 1.4 billion packages worldwide—about 40 every second! Our hiring process for this role has four stages, which usually takes ~three weeks. At every step, you will have the opportunity to ask questions and make sure that we are the right choice for you. 1) Meet our recruiter You’ll have a video call with our TA Director, _, who will tell you more about Spoke and get to know you, too. 2) Meet the hiring manager You’ll have a video call with _, our Engineering Manager and the person this role reports to, to discuss your technical skills and experience in more detail. 3) Paid take-home project At this stage, we will invite you to take part in a paid take-home project that gives you a chance to showcase your skills and a flavor of the types of challenges you’ll be working on here at Spoke. 4) Final call You’ll have a 30-minute final video call with our Founder and CEO, _, an informal chat, and an opportunity to meet. 🌿 If you need us to make any adjustments to our interview process, or if I can make you more comfortable for our first call, please let me know. Sadie Remote£110,000 - £110,000 per yearEngineeringUK Your application has been successfully submitted! _

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 is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. We are looking for a Staff Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions. The SRE team is embedded within the Mimir, Loki, and Tempo squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. In this role, you will: • Partner closely with product engineering squads (embedded model), • Own production reliability for high-SLA and complex customer environments, • Design and implement automation to scale our reliability practices, • Ensuring our customers meet our SLO targets, • Define and evolve per-tenant SLOs and reliability models, • Proactively reduce SLO burn to prevent repeat incidents, • Serving as a primary escalation point and on-call for relevant incidents, • Lead customer-impacting incident response and post-incident reviews, • Contribute to design docs and code reviews, • Influence feature design to ensure production scalability and operability, • Build automation to eliminate toil where needed, • Improve alert quality and reduce noisy escalations We seek a staff software engineer operating at the intersection of customer needs, production systems, and product engineering. • 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Strong experience with technical leadership, leading a team through projects, mentoring other engineers on the team and serving as a force-multiplier, • Experience operating multi-tenant systems in production, • Strong experience designing and implementing SLOs, • Experience with one or more programming languages (e.g. Go, Python, Java, etc), • Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling., • Excellent problem-solving and troubleshooting skills., • Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents), • Ability to reason about performance, scaling, and failure modes, • Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction., • Ability to partner deeply with product engineering teams, • We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!), • Regular 1:1s to with your manager and colleagues, • Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc., • Improve observability of customers within their environments, • Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands, • Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle., • Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs, • Participate in PR review and collaborating with other engineers on their Design Docs, • Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality, • Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary In the UK, the Base compensation range for this role is £103,958 - £124,750. 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 _.#LI-Remote #LI-Remote *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 .

About Uplisting What started in the UK in 2017 is now a fast-growing platform designed to be the go-to solution for hosts and operators who want to streamline their operations and unlock growth. From automated messaging to channel management, from task coordination to financial reporting, Uplisting gives users the reliability and simplicity they need to run professional, efficient, guest-ready businesses. Our mission is simple: to empower the next generation of short-term rental creators by providing flexible, user-friendly, and technology-driven tools that remove friction and spark innovation. Whether someone is managing their first property or scaling a portfolio, we’re here to help turn ambition into sustainable success. In 2023, Uplisting joined the AirDNA community, a collaboration that strengthens our ability to support hosts at every stage of their journey. By combining Uplisting’s powerful operational toolkit with AirDNA’s world-class market intelligence, we’re helping entrepreneurs make smarter decisions, grow faster, and operate with confidence across Airbnb, Vrbo, and beyond. The AirDNA team We’re a curious, driven, and kind group of humans who genuinely love what we do. Our values - Happy, Hungry, Honest - guide how we show up for our customers and for each other. Want to see what that looks like in action? You’ll get a feel once you meet us. We welcome applicants from all backgrounds and encourage you to apply even if you don’t check every box. Passion, potential, and perspective matter here. Together, we’re building a complete ecosystem for short-term rental success - from investment to day-to-day operations. The Role We’re looking for a Fullstack Software Engineer. Join a team modernizing Uplisting's core product. You'll ship end-to-end features that measurably improve the day to day for hosts and property managers, help migrate our front end from Ember to React, and strengthen the connection between Uplisting's operations platform. • Ship production-ready code across the full stack, from API and data layer to UI., • Collaborate on the upcoming migration from Ember to React., • Diagnose and fix scaling, performance, and reliability issues on our platforms., • Own features end-to-end. From pitch to production., • Set the bar on code quality through reviews, testing standards, and clear documentation., • Mentor engineers on React best practices and help shape our technical roadmap., • Use AI tools to speed up your own work and share what works with the team., • Work on Partner integrations with large companies such as AirBnB, Booking.com, VRBO, • 4+ years of professional full stack experience shipping and operating production systems., • Strong React and TypeScript skills, plus solid back-end fundamentals (APIs, data modeling, relational databases)., • Hands-on experience with testing, CI/CD, and basic observability (logs, metrics, alerts)., • A track record of working on/leading non-trivial migrations or modernization work on a live product., • Clear written and verbal communication skills - you can explain trade-offs to engineers and non-engineers alike., • Practical, daily use of AI tools in your workflow, with the judgment to verify what they produce., • Experience with Ember.js or migrating front-end frameworks, or a polyglot with Front End frameworks., • Background in short-term rental, property management, travel, or hospitality tech., • Experience operating multi-tenant SaaS at scale, including performance tuning., • Familiarity with AWS, Heroku, containers, and infrastructure-as-code., • Prior experience formally mentoring other engineers., • Familiarity with the Shape Up methodology, • Ruby (Hanami), • Ember JS, • PostgresQL, • AWS, • Heroku, • Typescript, • React Native, • Terraform, • Any hire made outside of Spain would be a full-time contractor. Benefits for remote UK contractors include:, • OTE salary range: 50,000 - 65,000 GBP (yearly), • Flexible remote environment, • Continuing education stipend, • Language lessons with Preply (French-Italian-Spanish), • A friendly, collaborative team that values clear communication, • Opportunities for growth, mentorship, and learning new technologies, • A mission-driven product with real user impact, • First stage: Virtual interview with the People Team + Hiring Manager (30min), • Second stage: Tech test, • Final stage: Meet the General Manager + Hiring Manager (Online - 30min), • Post-offer / Pre-employment: Reference and employment verification check, • Ideal start date: Q2 2026 £50,000 - £65,000 a yearAirDNA seeks to attract the best-qualified candidates who support the mission, vision and values of the company and those who respect and promote excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, veteran status or any other legally protected classification. The company complies with all applicable state and local laws governing nondiscrimination in employment and prohibits unlawful harassment based on any of the aforementioned protected classes at every location in which the company operates. This applies to all terms, conditions and privileges of employment including but not limited to: hiring, assessments, probation, placement, benefits, promotion, demotion, termination, layoff, recall, transfer, leave of absence, compensation, training and development, social and recreational programs, education assistance and retirement. We are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will reasonably accommodate applicants so they can participate in the application process unless doing so would create an undue hardship to AirDNA or a threat to these individuals, others in the workplace or the company as a whole. To request accommodation, please email _. Please allow for 24 hours to process your request. By applying for the above position, you will confirm that you have reviewed and agreed to our _.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.

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

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! The Senior Manager, Engineering, Docker Agents leads the team responsible for building Docker’s next-generation AI agent capabilities. This team designs and delivers intelligent, containerized agents that enable automation, adaptive workflows, and real-world AI usage for developers. This role combines people leadership, technical strategy, and cross-functional collaboration. The manager ensures the team delivers reliable, high-impact systems while maintaining a strong engineering culture grounded in trust, learning, and execution. Team Leadership & Development Lead, mentor, and grow a team of engineers working on Docker Agents. Define hiring plans, onboarding, career paths, and performance expectations. Foster a culture of psychological safety, accountability, and continuous improvement. Technical Strategy & Delivery Partner with Product and Engineering leadership to define the vision, roadmap, and technical direction for agent systems. Guide architectural decisions for scalable, secure, and maintainable agent platforms. Balance long-term strategy with short-term execution to ensure consistent delivery. Cross-Functional Collaboration Work closely with Product Management, Platform, DevOps, and QA teams to align priorities. Advocate for agent capabilities across the Docker ecosystem. Ensure smooth integration between agent systems and other Docker products. Establish and track engineering metrics related to quality, velocity, and reliability. Remove blockers and improve developer productivity through better tooling and processes. Drive improvements in CI/CD, testing, observability, and system resilience. Model strong leadership behaviors rooted in empathy, clarity, and ownership. Promote inclusion, diversity, and fairness in hiring and team development. Handle feedback, performance discussions, and prioritization decisions with transparency and respect. 7+ years of professional software engineering experience. 3+ years of experience managing engineering teams. Proven ability to lead remote, distributed teams. Strong experience with distributed systems, APIs, or platform engineering. Demonstrated ability to navigate ambiguity and guide teams through evolving requirements. Excellent written and verbal communication skills. Experience working with AI systems, LLMs, or agent-based architectures. Background in developer tools, platforms, or infrastructure products. Product-oriented mindset with exposure to user-facing engineering decisions. Integrate into Docker’s AI & Agents Engineering organization and establish relationships with key stakeholders across Product, Platform, Engineering leadership, and sister AI teams (Ask Gordon, broader AI platform) Deep dive into the Docker Agents ecosystem including cagent project architecture, current roadmap, open-source community engagement, and technical debt assessment Conduct comprehensive 1:1s with each team member to understand their technical backgrounds, career aspirations, current project ownership, and individual growth opportunities Assess team dynamics, delivery processes, engineering practices, and identify immediate opportunities to remove blockers, improve productivity, and enhance code quality Hire and onboard critical team members with expertise in containerized systems, AI/LLM integration, distributed systems, and open-source community management Establish clear team operating principles including engineering standards for agent development, code review processes, testing frameworks, and production deployment practices Drive alignment on technical vision and roadmap for Docker’s containerized agent platform in partnership with Product Management, ensuring clear prioritization of cagent evolution, enterprise features, and developer experience improvements Ship significant improvements to cagent or containerized agent platform capabilities with measurable impact on developer productivity or agent deployment reliability Build and lead a high-performing engineering team of 8-12 engineers that consistently delivers reliable, scalable containerized agent infrastructure impacting millions of Docker users worldwide Establish the Docker Agents team as a center of excellence for containerized AI systems, influencing architecture decisions across Docker’s AI initiatives and the broader container ecosystem Develop team members into technical leaders through mentorship, conference speaking opportunities, open-source contributions, and clear career advancement paths within Docker’s engineering organization Establish repeatable processes for rapid prototyping, evaluation, and productization of new agent capabilities that maintain Docker’s reputation for reliability and developer experience excellence 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

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. _ as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. We're looking for a technical engineering manager (UK Based) to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams. You will lead the Geo for Self-Managed Customers team, which owns the Geo product end to end. Geo is tenant-to-tenant replication that sits between raw infrastructure replication and single-object transfer, and it is the foundation customers rely on for their disaster recovery strategies. What you'll bring: • Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy, • Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there, • Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps, • A history of building and managing high-performing, accountable team cultures, including managing out when necessary, • Comfort driving complex projects to completion without relying on a dedicated TPM, • Experience leading distributed and remote teams effectively Key Responsibilities: • Lead the roadmap and execution for the Geo product serving Self-Managed customers, setting clear direction in close partnership with the team’s Product Manager., • Hire and develop a high-performing engineering team where members can thrive and deliver with quality and speed; the team is India-anchored, with EMEA backend/fullstack hiring to improve timezone overlap., • Own the reliability, correctness, and performance of Geo replication as the core layer underpinning disaster recovery for Self-Managed deployments., • Deliver bug fixes, API extensions, and new capabilities to the shared Geo codebase, maintaining relationships with the Geo SMEs embedded in the Dedicated Migrations and Resilience teams so day-to-day commits resolve quickly., • Build and maintain runbooks, guardrails, and reviews so the team operates with rigor; ensure high-quality, timely responses to Geo-related escalations from Support and internal partners., • Define, track, and report on delivery and operational metrics, using them to drive continuous improvement., • Participate in the Incident Management on-call rotation to help ensure availability goals for Geo are met, working with reliability engineers and development team members. How GitLab Supports Full-Time Employees • _, • _, • _, • _, • _, • _ Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from _ are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our _ Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also and . If you have a disability or special need that requires , please let us know during the .

Oscilar is building the AI Risk Decisioning™ platform for banks and fintechs. Our platform enables financial institutions to manage fraud, credit risk, compliance, and onboarding decisions in real time using modern AI infrastructure. We work with leading fintechs and financial institutions and are backed by world-class investors. Oscilar was founded by Neha Narkhede, co-creator of Apache Kafka and co-founder of Confluent. We are building a category-defining company — and our GTM engine will be a core competitive advantage. We are hiring a Founding LATAM & EMEA Growth Marketing Manager to launch Oscilar’s presence across Latin America and EMEA from zero. Your job is to build the regional growth engine end-to-end: outbound campaigns, paid acquisition, regional events and webinars, and local partnerships — whatever it takes to generate pipeline in markets where we have no existing footprint. This role is for a marketer who can operate independently in new markets, adapt messaging for local audiences, and move fast without a playbook. You’ll be sourcing leads, launching campaigns, and running events within your first weeks — not waiting for a strategy deck to be approved. This is a high-ownership, 0-to-1 role with direct impact on Oscilar’s international expansion. You will be the first marketing hire dedicated to these regions. You will work closely with our Head of Growth, VP of Marketing, and regional Sales leadership. Location: EMEA or LATAM required. Language: Fluent in English. Spanish or Portuguese strongly preferred. Additional languages are a plus. You will plan and execute the full regional growth marketing playbook across LATAM and EMEA, including: Build and run multi-touch outbound sequences targeting regional prospects using Clay, Outreach, HeyReach, Nooks, and Cargo Localize messaging and campaign assets for regional audiences — tone, language, compliance nuances Design segmented plays by market, persona, and account tier Partner with BDRs on regional outbound strategy and follow-up workflows Launch and manage paid campaigns on Google Ads, Meta Ads, and relevant regional platforms Own regional ad creative, landing pages (Framer or equivalent), targeting, and budget allocation Run continuous A/B tests on copy, creative, and audiences — optimize for pipeline, not vanity metrics Identify and test region-specific channels (LinkedIn, local publications, industry directories) Plan and execute regional webinars targeting local personas and use cases Identify and manage participation in regional conferences, trade shows, and industry meetups Organize executive roundtables, dinners, and field events in key markets Own the full event lifecycle: sourcing, promotion, on-site execution, and post-event follow-up sequences Research and prioritize target markets and accounts within LATAM and EMEA Build regional account lists from scratch using intent data, market research, and local knowledge Adapt Oscilar’s positioning and value props for regional buyers — different pain points, regulatory environments, competitive landscapes Identify and pursue co-marketing opportunities with regional partners, integrators, and industry groups Launch Oscilar’s marketing presence in new regional markets from zero Run outbound, paid, and event campaigns simultaneously across multiple markets Localize and adapt campaign messaging, creative, and landing pages for regional audiences Partner with Sales to build regional pipeline and account penetration strategies Manage regional marketing budget and report on pipeline contribution by market Iterate rapidly: launch campaigns, read the results, adjust, and relaunch Build the repeatable playbook that future regional marketers will follow 5–7+ years in B2B growth or demand generation marketing Proven experience launching marketing programs in new regions or markets where no playbook existed Hands-on across outbound, paid, and events — you don’t just plan campaigns, you build and ship them Track record of generating pipeline in international markets Fluent in the modern growth stack: Clay, Outreach, HeyReach, Nooks, Cargo, Google Ads, Meta Ads, Framer (or equivalents) Can build a landing page, set up an outbound sequence, launch a paid campaign, and organize a webinar — all in the same week Comfortable managing multiple markets and campaigns in parallel Fluent in English. Spanish or Portuguese strongly preferred Deep familiarity with business culture and buying behavior in LATAM and/or EMEA markets Can localize messaging beyond translation — you understand what resonates locally You thrive in environments where the playbook doesn’t exist yet Can build account lists, campaign plans, and market entry strategies from incomplete data Resourceful: you figure it out rather than wait for someone else to figure it out for you Marketing to financial institutions or regulated industries in LATAM or EMEA Experience at a company in the $5M–$50M ARR scaling phase Run regional webinar programs or field events in multiple countries Built outbound campaigns in non-English-speaking markets Familiarity with regional data privacy regulations (GDPR, LGPD, etc.) At Oscilar, you will: Build the international growth playbook from scratch — not inherit one Be the first dedicated marketing hire for LATAM and EMEA — enormous ownership and impact Have direct access to Sales leadership and the full GTM team Operate with high autonomy, real budget, and a team that values execution over planning Shape how Oscilar enters and wins in the world’s fastest-growing fintech markets If you’ve read this far and don’t check every box but are convinced this role has your name on it — send a cold outbound email to _ that makes us want to reply. Bonus points if you include a mini go-to-market plan for one LATAM or EMEA market, or any creative campaigns you’ve run that punched above their weight. We’ll read every one. Compensation: Competitive salary and equity packages Flexibility: Remote-first culture Culture: Family-friendly environment Development: Unparalleled learning and professional development opportunities Impact: Making the internet safer by protecting online transactions

Hi 👋 I’m _, Director of Engineering, Europe. How do you feel about engineers writing product specs, making product decisions, and not breaking down projects into individual tickets? If that sounds exciting (even if a bit scary), read on because I’m looking for an engineering manager to help us build a different type of engineering team and culture at Ashby. To start, why do we need to be different? Time and again, I have witnessed engineers knowing what needs to be done yet being unable to get things done because of “the process” or because “more data is needed.” Some of the most effective projects have been skunkworks projects, where engineers have taken total ownership of a problem and driven it to completion. I want to normalize that at Ashby. When we think about how these processes came about, we realize they carry a pessimistic mindset. They box people into smaller roles to minimize the chance of not meeting a certain standard. At Ashby. we’re building an environment that is optimistic about what engineers can own and achieve and embraces the innovative engineers (and frankly, often stays out of their way). To accomplish this, our engineering leaders need to think deeply about individual performance, process, and culture - not running sprint planning or driving product and technical decisions. You’ll focus on building your team, their skills to thrive with the ownership they’re given, and an environment that empowers them to do their best work consistently, with little distraction. For junior EMs we try to stay within 6 direct reports. This enables them to spend time with our teams observing, correcting, praising, and, yes, coding. We like our managers to be hands-on while also making sure they’re not on the critical path. We’ve already gathered an_ of 25+ engineers. You’ll help me manage the growing team of engineers in Europe. In addition to working with engineers you’ll also get to work on projects yourselves. Some examples of work our engineering leaders have done: Provide feedback on product and technical specs to help engineers identify where to cut scope or improve quality. You don’t make the final decisions, but you’ll influence and coach ICs to reach the right ones. Grow engineers to the point where they can take large, loosely defined projects, and deliver them with little intervention. They still ask for help when needed - the difference is that they’re driving. Jump into our systems and code to debug a customer issue, ship a small bug fix, or improve our developer experience. Engineering leaders at Ashby are great engineers and enjoy keeping their skills up-to-date (while staying off the critical path). Improve how we generate and simulate data in demo accounts. It’s a project off the critical path, but it helps you keep up-to-date on our codebase while immensely impacting the business, from Engineering to QA to Sales. I had two experiences early in my career that set me on my path. I had a great manager who asked tonnes of questions about the decisions I was making and coached me without me realizing it. And I had a terrible manager - being told to work harder after a week of 3am finishes was not what I needed as a young engineer. The stark difference between these two experiences motivated me to become a manager: I wanted every engineer I worked with to have the support I had in the best case. Since then, as I’ve learned more, I’ve realized that I love the kind of problems I get to solve as a manager. Deeply complex problems with long-term impact both on the company and on people’s lives. One of my proudest achievements is creating a fully transparent pay system, and on the day it was revealed, everybody was happy with it. Nobody stormed out. By spending time thinking deeply about everybody’s pay and ensuring the mechanics of promotion were clear, I put the team in a place where they could see a peer was paid more than them, and it not be a problem. Despite all this, I love being technical. I sometimes indulge myself and spend a morning writing some code to improve tests or provide better abstractions. If I couldn’t be a manager, I’d be super happy to be an IC. I’m looking for someone who is passionate. Passionate about both management and being technical. Someone who spots a pattern amongst their team, figures out a better way for us to operate, and then builds the automation that powers it. I introduced a new process that enables engineers to merge 30% of PRs without a human review beforehand. I also built the automation that approves these PRs. I also built that automation with abstractions that make it easy for the engineers to improve the automation themselves. It can be hard to find seasoned engineering leaders who haven’t succumbed to the status quo in some way or another. We're committed to giving all our people a total and utter lack of terrible managers, and that means we're willing to take a chance on someone early in their leadership journey who's courageous, principled, and has the drive to build themselves into a great leader who can say “Yah I know everyone is doing that, but we won't because...” Engineering leadership comes in many flavors, not all of which fit our model. I thought I’d outline some things I’m looking for to help you decide if this fits what you’re looking for: You love being technical and can hold in-depth conversations with direct reports from infra to backend to frontend. You enjoy management problems. We want people who get excited about driving people to be their best, giving difficult feedback, and building systems that make this easier You hold your team to a high standard and don’t shy away from getting into the details and giving feedback, even to the best folks on your team. You are an excellent and empathetic communicator. Facilitating change at both an individual and organization level requires understanding how to navigate the beliefs, opinions, and past experiences of engineers and figuring out how to both convince them of a new way of doing things while also leaving yourself open to feedback. You know what exceptional engineers look like. You’ve thought deeply about what makes them tick, how to recruit them, and how to grow folks into them. I want to see depth here, the industry often regurgitates a vanilla description, but the reality is more nuanced. You’re good at thinking about product, business, and maybe even design, but you’re not interested in calling the shots and are more interested in building a team that can make the best decisions without you. You thrive in high-trust, high-autonomy environments. We're a young startup where leaders wear multiple hats, and you'll build your own (high-speed) on-ramp through developing strong feedback loops. Put another way, you shouldn’t apply if: You don’t enjoy coding or don’t find time to stay up-to-date on technology. You’ve gotten into management because it was the only growth path available You want to make all the product decisions instead of empowering your team to make those calls. You're happy with a team of engineers that are predominantly early-career, mid-career, or don't thrive with ownership or autonomy. With enough guardrails, the team can get things done. A staff or principal engineer to you is someone who spends most of their time project managing or doing architecture reviews. You’re not optimistic or convinced that we can build a large engineering team that functions differently than the status quo. You think, at some size, common processes need to be implemented to ensure consistent product delivery (e.g., sprint planning, product managers writing in-depth specifications). You might not say it out loud, but you think, at some size, compromises have to be made for the sake of hiring numbers. Talent teams aspire to build a hiring process that identifies great candidates, moves them quickly through the interview process, and provides an excellent experience for the candidate. To accomplish this, recruiters perform thousands of daily tasks to coordinate and relay information between candidates, interviewers, and hiring managers. Teams struggle to keep up! Scheduling a final round is an excellent example of our customers' challenges. A recruiter needs to collect availability from the candidate, identify potential interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and perform any last-minute adjustments as availability changes. They must perform this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 Ashby provides talent teams with intelligent and powerful software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We put a lot of effort into designing products that are approachable to beginners but mastered and extended by power users. In many ways, spreadsheets set the bar here. We have many customers, great revenue growth, years of runway, and amazing investors like YCombinator, Elad Gil, and Lachy Groom. I’ll share more once we meet. Our engineering culture is motivated by and ’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). Our engineering team (and the team at large) consists of lifelong learners who are humble and kind (meet them !). These attributes create an environment where collaboration happens naturally (we filter for it in interviews). We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers can focus 36h out of a 40h work week (Abhik wrote about it ). Even managers can rely on getting consistent time (and support to make, if necessary) to focus and do creative work without the demand of constant meetings. We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 5x a day. Everyone on the team has contributed to developer experience 💪🏾 Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) which we are constantly improving. Each improvement to a common component cascades throughout our app (short video on it _). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: We, as engineers, find clever ways to solve problems, which amplifies when we deeply understand the problem. All of us in technical leadership did our best work as engineers when we had a deep understanding of the end-user and the business and ownership over the solution. Our engineering culture reflects this experience: engineers own projects end-to-end, from speaking with users to writing product specs to UX design. These are skills that we often don’t get to practice as engineers, and, as a manager at Ashby, you’ll provide mentorship and feedback to engineers to ensure they are successful when delivering projects. Diverse teams_. As the father of two young girls, I want to see them grow up in a world where all industries are open and welcoming to everyone, regardless of race, gender, or preferences. Helping to build a more diverse team at Ashby is my way of contributing to this change. Today, 26% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together. Our interview process is six interviews in the following order: Intro Call (30m) - Discuss your application questions, align on the responsibilities of the role, and answer questions about Ashby. Past Experience Deep Dive (1h) - Discuss your past experience as an engineering leader. Technical Screen (1h) - Add a feature back to Ashby. You'll spend most of your time understanding a specific part of our codebase and write less than 15 lines of code. Coffee Chat with VP of Engineering (1h) - Spend time with our VP of Engineering and get to know each other. Meet the Team (2h) - At this point, the engineering leadership team is excited about you and you'll meet our CEO, Engineers, Product Managers, and some other folks on the team. I will be your main point of contact and prepare you for interviews. If we don’t give an offer, we’ll provide feedback! I’m sharing our tech stack with the caveat that we don’t require previous experience: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. Competitive salary and equity. 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. Unlimited PTO with four weeks recommended per year. Expect “Vacation?” in our one-on-one agenda until you start taking it 😅. Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! $100/month education budget with more expensive items (like conferences) covered with manager approval. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

📌 Position Title: Product Manager 🌍 Location: Remote – Europe ⏰ Working Rhythm: Innovation is a 24/7 pursuit, but we value your downtime. While our typical working hours are 6am-2pm Eastern Standard Time (to ensure overlap with US team), we embrace flexibility and trust you to manage your schedule to meet your individual needs and peak productivity times. Occasionally, longer hours may be required to tackle challenges, support new releases, or contribute to time-sensitive initiatives. 📝 Contract Type: Full-Time Employee 🤝 Reporting To: Chief Product Officer Role Impact We’re not looking for a traditional Product Manager. We’re looking for a deeply technical, AI-native, customer-obsessed product leader who can build a world-class, consumer-grade experience in a category that hasn’t historically delivered one. As a Product Manager at Nexford, you will own and evolve critical parts of the learner journey end-to-end. This is not about shipping features. It’s about building a product that learners come back to every day, stay engaged with over months and years, and ultimately credit with changing their lives. You will operate at the intersection of AI, product, and human behavior. You will deeply understand our learners, speak with them constantly, and translate real needs into thoughtfully designed experiences. You will help define what an AI-native, learner-first university actually looks like in practice. If you’ve built sticky B2C products, are obsessed with understanding users, and know how to turn AI capabilities into real user value, this role is for you. Key Responsibilities Own the Product, Not Just the Roadmap Take full ownership of product areas across the learner lifecycle. Define what to build, why it matters, and how success is measured. Customer Obsession & Design Thinking Develop a deep, continuous understanding of our learners through regular user conversations, research, and behavioral analysis. Apply strong design thinking principles to ensure every product decision is intentional, user-centered, and outcome-driven. Build AI-Native Experiences Identify and ship AI-powered features that meaningfully improve the learner experience. Move beyond surface-level integrations and build products where AI is core to the value proposition. Drive Engagement & Retention at Scale Design systems that keep learners coming back. Obsess over activation, habit formation, and long-term retention across a multi-month and multi-year journey. Operate Like a B2C Product Leader Build consumer-grade experiences for a global audience. Raise the bar on usability, personalization, and product quality. Turn Data Into Decisions Instrument everything. Run experiments. Combine quantitative data with qualitative insights to drive prioritization and iteration. Lead Cross-Functionally Work closely with Engineering, Design, Data, and business teams to ship high-quality products quickly. Create clarity and momentum across teams. Move Fast, Improve Constantly Ship, learn, iterate. Maintain high standards without slowing down. Continuously raise the bar. Skills & Qualifications Proven B2C Product Builder 5+ years as a Product Manager building and scaling B2C products, ideally with global audiences. Experience with products that require sustained engagement, not one-time transactions. AI-Native Thinking (Non-Negotiable) Strong understanding of AI/ML and hands-on experience building AI-powered products. You know what’s real vs hype and can translate capabilities into shipped features. Customer Obsession (Non-Negotiable) You speak with users constantly. You deeply understand their needs, behaviors, and pain points, and you build products that reflect that understanding. Strong experience with user research, usability testing, and translating insights into product decisions. Retention is Your Game You have a track record of improving activation, engagement, and retention in products with long customer journeys. Highly Technical You’re comfortable going deep with engineers. You understand systems, APIs, data flows, and how modern products are built. You use AI tools daily. Product Judgment You know what matters. You can prioritize effectively and make high-quality decisions with imperfect information. Relentless Ownership You don’t wait. You don’t need hand-holding. You take responsibility for outcomes, not just output. Clear Communicator You can align teams, simplify complexity, and articulate product direction clearly. If you're passionate about transforming lives through education and have a proven track record of delivering exceptional customer experiences, we encourage you to apply! About Nexford University Nexford University is a next-generation learning institution based in Washington, D.C. We're on a mission to revolutionize education by providing learners worldwide with access to high-quality, affordable, and dynamic online education that equips them for success. We prioritize skills over theory, preparing our learners for the workplace of the future in industries with immense growth potential. Our goals are clear: 🚀 Empower learners with the skills they need to achieve their career aspirations. 🌍 Deliver a 100% online global education, ensuring accessibility regardless of location. 💼 Offer an educational model centered on mastery of workplace competencies. 🧠 Foster critical thinking, problem-solving, and lifelong learning skills. 🤝 Create a global community, harnessing collaborative technology for learner success. 💲 Provide flexible, affordable, and continuously updated educational opportunities. Interested in finding out more about us? Visit _ for more information and join our mission!

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. _ as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Solutions Architect in GitLab's Northern Europe team, you'll be a trusted advisor to GitLab prospects and customers, helping them understand how GitLab's DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You'll guide organizations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy. Reporting to a regional Solutions Architect manager and partnering closely with Account Executives and cross-functional teams, you'll own technical evaluations (including proof of value initiatives and workshops), shape solution architectures, and serve as the voice of the customer back to Product Management. You'll focus on driving successful platform adoption, influencing revenue growth through solution selling, and building long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape. • Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle., • Drive the technical evaluation process as the directly responsible individual, including solution design, POC/POV ownership, workshop design, and the technical components of tenders, audits, and value stream assessments., • Collaborate with Account Executives and regional sales teams across Northern EU to shape and execute account strategies that support new customer acquisition and expansion., • Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates., • Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment., • Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning., • Maintain and extend your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies, creating reusable examples, best practice guidance, and technical collateral for customers and partners., • Invest in your own growth and development through ongoing learning, mentorship, and knowledge sharing to continuously improve the impact of the Solutions Architect team., • 4+ years of experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation., • Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices and continuous integration and continuous deployment workflows., • Hands-on experience with GitLab or comparable source control, CI/CD, and collaboration platforms, and the ability to map platform capabilities to customer use cases., • Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams., • Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments., • Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers., • Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing., • Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. #LI-CM1 We, the Solutions Architect team, are part of GitLab's Sales organization and serve as the technical counterpart to Account Executives, with this role focused on opportunities across Northern EU reporting into a regional Solutions Architect Manager. Our mission is to help customers realize the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through their digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. We are focused on helping customers modernize end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape. How GitLab Supports Full-Time Employees • _, • _, • _, • _, • _, • _ Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from _ are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our _ Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also and . If you have a disability or special need that requires , please let us know during the .

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

We are working with a leading international law firm to hire a Business Development Manager in their Real Estate department. This is a mternity cover of 9 - 10 months, which for the right person, has the possibility of going permanent. This firm would like someone with experience in BD in the legal or professional services sectors. The Real Estate group has a lot happening at partner level and it is looking to expand across Real Estate. More partners will join this busy team, so they need an individual in this role who is pro-active and will sell the value-add of a strong Business Development function to the new partners. The Managing Partner sits in the Real Estate practice, so it's a high profile team. Overall, this is a high-profile BAU BDM role, which needs someone to be proactive with new partners, and is able to steer the ship while the incumbant is on maternity leave. If this job isn't quite right for you, but you know someone who would be great at this role, why not take advantage of our referral scheme? We offer £200 in shopping vouchers for every referred candidate who we place in a role. Terms & Conditions Apply. https://refer-a-friend

We are transforming the flexible workspace industry! Valve was founded to propel forward and democratise access to the fast-growing flexible workspace industry. As work transitions to a more distributed and hybrid normal, flexible workspaces will be a key enabler of a richer, more enjoyable workplace experience for employees. We believe flexible workspaces confer huge social, lifestyle and economic benefits to all their occupiers through improved work/life balances, human-centric workplaces, greater communities, and lower occupancy costs. Valve provides vital industry infrastructure to professionalise and accelerate the flexible workspace revolution. Your new role: We’re hiring a world-class Senior Fullstack Engineer to build the next generation of products that power our marketplace and SaaS platform. You’ll join a high-performing team of engineers, working on sales and marketing automation tools that help workspace operators scale. This is a high-impact, product-centric role. You’ll take ownership of feature delivery from design through to deployment, help define architectural choices, and push boundaries on speed, scale, and user experience. You'll collaborate closely with product managers and designers to ship features that matter—and that our customers love. You’ll report directly to our VP of Engineering and work either from our London HQ or remotely within the UK. What will keep you challenged: Participate in the full development lifecycle, including planning, architecture discussions, quality assurance, and implementing a scalable platform. Contribute to the design and development of new features from a technical perspective. Collaborate with your team and Product Manager to propose and execute technical improvements. Generate ideas for code and process enhancements, working with your team to elevate performance and efficiency. Which skills/traits contribute to your success? 5+ years of experience building scalable web applications 3+ years production experience with NodeJS, TypeScript, ReactJS/NextJS, GraphQL & PostgreSQL Experience working with Python Experience working in a product-driven, cross-functional team in a tech-driven startup Excellent communication skills and fluent English A proactive approach to ownership—you don't wait to be told what to do Please note that we are looking for support in our London office. Eligibility to work within the UK is required as well. Our commitment to you: • Competitive salary, • Flexible working - we are pragmatic not dogmatic, be where you are most effective at producing the best outcome for the company., • Investment in your home working setup, we want to support your productivity, satisfaction and effectiveness., • Proven management and leadership team that invests time to progress your career as fast as possible - your rapid success is mutual interest., • Quarterly off-sites, monthly team nights out and annual international company events.Do you want to be part of a fast growing, exciting company? We look forward to receiving your application soon! Our Commitment to Diversity and Inclusion Valve is committed to diversity and equal opportunities for all – applicants and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences. Our diverse team has different ethnic and cultural origins, gender identities, sexual orientations, family arrangements, religious and political affiliations, socioeconomic statuses, age groups, and abilities.

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. This is a deeply technical, hands-on role. Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. You work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application. Research and define end-to-end AI system requirements from capability to behavior to user impact Translate model capabilities, data constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution with clear specs, strong judgment, and disciplined prioritization Ensure systems ship quickly, safely, and reliably, with strong feedback loops Own product quality end-to-end - correctness, predictability, and user trust Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. Hands-on exposure to AI-powered products, including LLM-based systems. Experience working with model evaluation, prompt or pipeline iteration, and feedback loops. Strong intuition for model limitations, hallucinations, bias, and drift. Significant experience owning complex, technical products end-to-end. Proven ability to work closely with senior engineers and ML teams. Strong judgment and decision-making ability in ambiguous, fast-moving environments. Ability to balance ambition with technical and operational reality. Experience shipping AI-heavy consumer products. Background as an engineer or highly technical product manager. Experience defining evaluation metrics for ML systems. Strong intuition for AI UX patterns and failure handling. Prior experience in zero-to-one product environments. Product strategy clearly aligns AI capabilities with user needs and company priorities. AI features deliver real value, are understandable, predictable, and trusted by users. Decisions balance quality, speed, cost, and reliability effectively under uncertainty. Roadmaps and priorities are clear, with fast iteration based on real user feedback. Teams are aligned, focused, and able to execute on AI product goals with minimal friction. The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product. If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Founded in 2019 and part of Y Combinator's 2020 cohort, _ is the leading visual solution for e-commerce. We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API. We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide. We're looking for a Senior Product Manager, SMB E-commerce Growth to own activation, monetization, and retention for our SMB e-commerce segment across the Photoroom mobile and web apps. This is a growth role: you'll own the levers that turn sign-ups into retained subscribers, and the growth-led features that move them. From paywalls to pricing experiments and onboarding and discovery flows, you'll partner closely with User Acquisition on the handoff from paid to product, and with the core SMB product team on what gets built next. Location: Remote across Europe with monthly Paris office visits (fully reimbursed) Own a real slice of the growth funnel. Activation, paywall, pricing, or retention: you'll lead a squad and own a specific number end-to-end, deciding what gets tested, what gets built, and what gets killed. Move the metric, not just the backlog. Run a high-velocity experimentation program across web and mobile funnels. Ship A/B tests weekly, and bigger feature bets when the data calls for them. Find the insight, then build the feature. The best growth work is spotting why users drop off and shipping the change that fixes it. You'll do both. Work across web and mobile. Mobile and web funnels behave differently (App Store vs. card-on-file, push vs. email). You'll own both, and partner closely with the User Acquisition team on the handoff from paid to product. Use data to decide, not to justify. Pull and interpret data yourself, form hypotheses, measure what shipped, and call what's next. You won't need to wait around for someone else to run the query. You've moved real numbers on a subscription product. Five to eight years as a PM, with concrete activation, monetization, or retention wins you can name with the KPI, the change, and the percentage impact, owned by you, not by a team you sat on. You've worked on something with recurring revenue. Whether B2B SaaS, B2C subscription, or B2B2C, as long as your work was tied directly to revenue your experience will give you a leg up. Pure marketplace or pure free-product backgrounds will struggle here. You know how SMB sellers buy. You understand how SMB e-commerce sellers discover, evaluate, and adopt utility SaaS, the kind of motion behind Shopify, Canva, Klaviyo, Stripe, Klarna, Gorgias, Recharge, Loop, Wix, or Squarespace. You think in funnels. You understand activation curves, paywall psychology, trial design, and the difference between credit-based, feature-gated, and seat-based pricing, and you have opinions on which works where. You build with AI. You use Claude or equivalent to automate recurring tasks, and can explain how you set it up to help you ship faster. You're data-fluent. Comfortable with SQL and an analytics platform like Amplitude or Mixpanel; you build and interpret your own funnel without waiting for a data scientist, and you've shipped a high volume of A/B tests personally in the last 12 months. You thrive in small teams with high autonomy. You can ship without being managed, and can operate in a fully remote, async-first environment that offers no scaffolding around you. Nice to have: experience on both web and mobile funnels; familiarity with the Shopify ecosystem (app store, connect flows, merchant personas) or a comparable e-commerce platform; entrepreneurial experience (you've started, built, or run something). If you think you have what it takes but don't meet every single point above, please still apply. We'd love to chat and see if you could be a great fit. We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Location: Remote Salary: £75,000 - £85,000 At Arbor, we’re on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn’t mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren’t just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. We are looking for an experienced and highly technical Senior Product Engineer to join our Engineering team and help us implement and deliver large projects and advocate for high engineering standards. The remit and focus of the role is to be a key driver in the team, taking responsibility for developing and owning features and core components of the company's core systems and processes, as well as auxiliary services where needed. It’s a broad and exciting role, so we’re looking for someone up for a challenge - if you’re a proactive and collaborative Senior Product Engineer, this is the role for you. Core responsibilities • Build, maintain and scale platform-level back-end services to enhance and serve our Data and AI capabilities for internal and external customers., • Leverage these Data and AI capabilities to build and ship new features within the core Arbor product suite., • Own the successful delivery of high-impact features, directly contributing to the advancement of Arbor products., • Drive the development and implementation of advanced tests for new and existing features, ensuring high test coverage and reliability standards., • Proactively identify, take ownership of, and resolve critical system bugs and issues using advanced problem-solving skills and comprehensive system knowledge., • Maintain high code quality standards through thorough, constructive code reviews, ensuring solutions are well-tested, scalable, and maintainable., • Produce well-architected, efficient, and scalable code by applying industry-leading design patterns and methodologies., • Create and maintain thorough technical documentation and diagrams that promote best practices and ensure clear communication., • Collaborate closely with the Engineering Manager, Tech Lead, QA Engineer, and Product Manager to address feature requests., • Support the Engineering Manager with interviews, scrum ceremonies, and the implementation of strategies to improve and optimise product quality and lead time, demonstrating a comprehensive understanding of the development lifecycle and processes., • Support the Tech Lead in developing technical roadmap solution designs, identifying areas for improvement, prioritising, and executing technical debt reduction., • Act as a role model for technical excellence through code reviews, pair programming, and actively mentoring and coaching mid-level and junior engineers in best practices, fostering knowledge transfer within the team., • Actively lead and participate in tech talks, workshops, and team-based learning initiatives., • Demonstrable experience building back-end Python-based services, • Previous experience building features in PHP, • Experience with enterprise solutions and large-scale systems., • Demonstrated knowledge of database technologies (SQL and NoSQL) and best practices for data modelling and performance optimisation., • Proven experience in managing large, technical projects and delivering high-quality, impactful results with minimal supervision., • Proven experience designing and writing APIs and services within a service-oriented environment., • Applies best practices and software engineering principles (e.g., SOLID, DRY) effectively., • Demonstrated knowledge of software best practices, including refactoring, writing clean code, and Test-Driven Development (TDD) and Test Automation., • Understands Scrum methodology or other agile development processes., • Demonstrates leadership through collaboration, mentorship, and a proactive approach to problem-solving., • Possesses excellent written and spoken English skills, with the ability to communicate clearly to both technical and non-technical stakeholders., • A driven team player who actively participates in discussions and readily offers assistance to others. The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. We also offer: • A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!, • 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas, • Life Assurance paid out at 3x annual salary, • Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks, • Private Dental Insurance with Bupa, • Salary sacrifice Pension provided by Scottish Widows, • Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay, • 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!, • Access to services such as Calm and Bippit (financial wellbeing coaching), • All of our roles champion flexible working and we are happy to discuss what this means to you, • Social committees that plan team, office and company wide events to bring people together and celebrate success, • Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc), • Volunteer with a charity of your choice for a day each year, • Dog friendly offices!, • Phone screen, • 1st stage, • 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at _. Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: _ Please note: We are unable to provide visa sponsorship at this time.

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. Pleo is investing heavily in AI-powered features across the product. You will be part of the GenAI Core team which is responsible for the horizontal platform infrastructure that makes this possible. They look afterLLM routing, MCP servers, vector search infrastructure, evaluation frameworks, and agentic tooling. This is a hands-on backend/platform engineering role at the intersection of distributed systems and modern AI engineering. You will help design, build, and operate the shared AI infrastructure used by product teams across Pleo, with a strong focus on reliability, observability, security, and developer experience. You'll be reporting to the Engineering Manager for the GenAI Platform team and will be working closely with senior and staff Engineers in GenAI Core. You will also collaborate with Applied AI Engineers, Data Scientists, and product engineering teams across the business. As a Senior GenAI Platform Engineer you will: Design, build, and operate core GenAI platform components used by product teams at Pleo, including LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling (tracing LLM calls, supporting human and automated evaluation, detecting drift, and tracking costs) and infrastructure for multi-step, long-running agentic workflows. Own production-quality delivery of platform features, from design through rollout, monitoring, and follow-up. Contribute to resilient system design: sensible APIs, failure handling, rate limiting, retries, idempotency, and safe change management. Improve reliability and observability through metrics, dashboards, alerting, incident follow-ups, and operational improvements. Partner with Applied AI Engineers and product teams to understand platform needs and help them build AI-powered features safely. Build internal SDKs, templates, and guardrails that let product engineers build AI features without needing deep infrastructure expertise. Support other engineers through pairing, code reviews, technical feedback, and clear documentation. Help evaluate build-vs-buy decisions in the rapidly evolving LLMOps tooling landscape. You will thrive in this role if you have: Strong backend/systems engineering background, with experience building and operating production services with reliability and observability requirements. Experience designing and delivering shared platform or infrastructure components used by multiple teams. Strong production ownership: monitoring, alerting, incident response, debugging, and post-incident learning. Distributed systems fundamentals, including async workflows, idempotency, consistency tradeoffs, and designing for failure. Hands-on experience with LLM APIs or strong interest in learning their production failure modes: rate limits, context windows, multi-vendor routing, latency variance, and cost control. Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage, and safe credential handling. Strong programming experience in either a JVM-based language or Python. We operate a polyglot platform with components written in both Kotlin and Python, and you’ll be expected to contribute to both. Clear communication and collaboration skills, especially when working with product teams and other engineers to turn ambiguous platform needs into practical solutions. This role is a good fit for you if: You are passionate about developer experience and get excited about being a force multiplier for engineering teams. You have moved past prototyping and have a deep understanding of the realities of LLMOps, data retrieval, prompt and context engineering, as well as model evaluation in production. You understand both the engineering and the data side of things, and are comfortable switching languages or technologies to achieve your goals. This role is not a good fit for you if: You are primarily interested in model research or algorithm development. This role is about building the tooling that enables product teams to ship AI features to production. You prefer building customer-facing features. Your key users will be other Pleo Engineers. You cannot explain AI trade-offs clearly to non-technical stakeholders. You will regularly work with Product Managers, Designers, and business leaders who need to understand what is and isn't possible. In your first 6 months at Pleo, you’ll: Develop a clear picture of how AI features are currently being built at Pleo and where the biggest infrastructure bottlenecks are. Take ownership of a core platform component such as the LLM gateway, RAG infrastructure, MCP gateway, or evaluation framework, and improve its reliability, observability, or developer experience. Deliver production-ready improvements with clear rollout plans, monitoring, and operational documentation. Partner with Applied AI Engineers and product teams to identify platform investments that would accelerate their work. Contribute to Pleo's internal standards for AI feature development: how we evaluate quality, manage prompts, and monitor production AI systems. We’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills! Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role. Your own Pleo card (no more out-of-pocket spending!) Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis We offer 25 days of holiday + your public holidays For our Team, we offer both hybrid and fully remote working options We use MyndUp to give our employees access to free mental health and well-being support with great success so far Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows: Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background. Technical screening: A 15 to 30 minute call with our Talent Partner to check your knowledge of key technical topics. System design interview: A 75-minute practical session with our engineers focusing on scoping and designing an AI feature. Live coding interview: A 75-minute practical session with our engineers focusing on implementing your solution. Hiring Manager interview: A 60-minute conversation to deep dive into your knowledge and experience. Final interview: A leadership interview focusing on your behavioural, communication and collaboration skills. Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success! CV writing and content: we receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it’s a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background! Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. Profile to role fit: this is neither a research-driven nor a traditional data or software engineering role. We're looking for someone with proven experience building platforms or tooling for agentic AI. We expect senior-level engineers to be able to work fully autonomously on an entire product feature from design to implementation. English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy _. Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive. That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do. We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started. Overview of the Product Team Product Managers at Zego are change-makers. We build and scale data-driven, impactful solutions that enable Zego to offer competitive and personalised insurance. Working in a fast-paced Agile environment, our team thrives on innovation, cross-functional collaboration, and driving measurable outcomes. We’re building a product organisation where AI isn’t a buzzword - it’s how we work. From rapid prototyping with generative AI to using machine learning models that power our core pricing, our PMs operate at the frontier of what technology can do for insurance. From enhancing pricing models to streamlining digital experiences, our Product team is instrumental in shaping the future of insurance. About the Role We are looking for a Lead Product Manager who combines strategic depth with a hands-on builder’s instinct. You’ll own strategic workstreams that span multiple teams and business domains, defining the 6-12 month product direction and shaping how Zego’s products evolve to meet ambitious commercial targets. This role sits at the intersection of strategy, execution, and leadership. You’ll define new product mechanics and revenue models. You’ll make build-vs-buy-vs-partner recommendations that shape Zego’s competitive position. And you’ll champion an experiment-first culture - using AI to compress discovery cycles, generate sharper insights, and ship at a velocity that sets the standard for the rest of the organisation. You’ll work closely with Zego’s Leadership Team on strategic decisions, lead cross-functional programmes, and mentor Product Managers - raising the bar for how the entire product community operates. What You’ll Be Doing • Set strategic direction: Define strategy for the 6-12 month horizon. Shape product operating models and governance. Make build-vs-buy-vs-partner recommendations that directly influence Zego’s competitive position., • Define new product mechanics and revenue models: Identify and validate new revenue opportunities - from 0-to-1 propositions to upsell and retention loops. Ground every bet in unit economics and customer insight, not gut feel., • Architect an experiment-led culture: Embed rigorous experimentation (A/B testing, multivariate, rapid prototyping) into how your teams work. Replace opinion-driven roadmaps with a data-backed cadence where “rate of learning” is the leading metric., • Champion AI adoption across Product: Go beyond personal AI use - develop reusable AI playbooks, workflows, and assets that multiply the team’s output. Identify where AI tools can materially accelerate product development, content generation, data analysis, and decision-making across the organisation., • Lead with data at every level: Design the product metrics and dashboards used by the business. Be proficient in gathering and using financial, behavioural, and usage data to ground strategic decisions. You’re as comfortable in Snowflake as you are in a board-level strategy review., • Drive company-level initiatives with P&L impact: Own programmes that move core business metrics. Be accountable for commercial outcomes, not just feature delivery., • Lead cross-functional workstreams: Partner with engineering, data science, design, marketing, legal, and compliance to ensure your strategy is technically feasible, commercially viable, and delivered with velocity., • Mentor and develop PMs: Manage the product community of practice. Coach Product Managers across the organisation, instilling a customer-first, experiment-first mindset and raising the bar for data capabilities and product craft., • Engage with the Leadership Team: Present strategic recommendations, lead pivots and sunset decisions, and shape how Product is represented in company-wide decision-making.. What You’ll Need to Be Successful • Strategic product leadership: Significant experience leading product strategy across multiple teams or domains, ideally in a high-growth environment. You’ve defined product operating models, shaped governance, and made decisions that moved business-level metrics., • Experiment-first operator: Deep, hands-on experience designing rigorous experiments and rapid prototypes. You’ve built experiment cultures - not just run individual tests. You instil the “build-measure-learn” loop as the default operating rhythm for your teams., • Commercial and financial fluency: Deep understanding of unit economics, pricing levers, and revenue modelling. You prioritise based on expected commercial impact and can credibly partner with Finance and Leadership on P&L-level decisions., • AI as a force multiplier: You don’t just use AI tools yourself - you’ve built AI-enabled workflows, playbooks, or toolchains that made your team measurably faster. You can point to concrete examples of how AI has materially accelerated your or your team’s product development., • Data mastery: Proficient in gathering and using financial, behavioural, and usage data to make strategic decisions. You design the metrics and dashboards that the business relies on., • Technical depth: Comfortable engaging with engineers on system architecture, APIs, ML pipelines, and service design. You understand the technical trade-offs well enough to make informed strategic bets., • Outstanding communication and influence: You engage with the Leadership Team on strategic decisions, lead cross-functional workstreams, and bring stakeholders along through clarity and conviction - not hierarchy., • Builder mentality: You’re not just a strategist. You’re comfortable acting as an IC when needed, getting into the detail, and leading a squad directly when the situation calls for it., • People development: Proven track record of mentoring and developing PMs. You actively contribute to the broader product community, not just your own area. Our Toolkit We believe the tools don’t make the Product Manager, but the right stack helps us move with velocity: • Collaboration: Notion, Whimsical, Slack, Google Meet, • Design, Prototyping & User Testing: Figma, Figma Make, Maze, • Data & Analytics: Snowflake, Amplitude, Hotjar, Looker, • Thinking & Strategy: Claude Cowork, • Automations: Claude Code, Zapier What’s it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day. Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want. You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter. How we work We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we’re flexible - some people prefer being in once a month or even quarterly. It’s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance. Our approach to AI We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well. Benefits We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters! There’s more to Zego than just a job - Check out our_ for insights, stories, and more. We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. #LI-IL1 #LI-Hybrid

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 is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain. We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization. This role will support the teams building Grafana Assistant, our synchronous chat experience; Investigations, our asynchronous AI workflow for incident analysis; and AI observability solutions, including Sigil. You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana, we’d love to hear from you. You Will • Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning, • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes, • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows., • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions., • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team, • Influence best practices for Product Analytics across teams and help define standards as the company scales, • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing), • Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows., • SQL: writing complex yet efficient SQL is a daily habit for you, • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana!, • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git), • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development., • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have • Knowledge about observability, • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In the UK, the Base compensation range for this role is £91,755 - £110,106. 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. *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 .

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. _ as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As Director, Support Engineering for EMEA, you'll manage an experienced, distributed team serving enterprise customers across Europe, the Middle East, and Africa. Reporting to the Vice President of Support Engineering, you'll own the region's people strategy, operational delivery, and customer support outcomes while building a healthy team that delivers a strong customer experience. You'll bring deep experience managing multi-country teams, operating across time zones, and shaping enterprise technical support in an AI-first environment. As a member of the global Support Engineering management group, you'll work with peer managers across the Americas and Asia-Pacific to improve service delivery, regional coordination, and GitLab's global support strategy. • Manage the full people agenda for the EMEA Support Engineering team, including performance, career development, succession planning, retention, internal mobility, and team culture across multiple countries., • Manage managers and senior contributors across EMEA time zones, setting clear expectations and supporting consistent performance., • Partner with the EMEA People Business Partner on employment considerations across jurisdictions, including Works Council engagement where applicable., • Own regional service-level target performance, customer satisfaction, ticket quality, resolution outcomes, escalation workflows, and reporting against global key performance indicators., • Improve shift handoffs and Request for Help coordination with Product Engineering and Support Engineering hubs in the Americas, Asia-Pacific, and Bengaluru., • Oversee EMEA's adoption and ongoing improvement of GitLab's AI toolchain, working with Support Operations and Strategy on tooling, data insights, capacity planning, and staffing management., • Represent the needs of EMEA customers inside GitLab by identifying field patterns, escalating systemic product issues, influencing the product roadmap, and joining customer or partner conversations that require executive support., • Shape global Support Engineering strategy with peer managers, including geographic coverage, quality standards, knowledge exchange, the operating model, annual planning, headcount modeling, and the regional roadmap., • Progressive experience in technical support engineering or a related customer-facing technical discipline., • Experience managing managers, senior contributors, and distributed teams through a manager-of-managers structure., • Experience managing multi-country teams in EMEA, with knowledge of employment considerations, cultural differences, and communication across time zones., • A track record of owning service delivery, including service-level target outcomes, escalations, and operational performance in a globally distributed environment., • Experience with or interest in AI-assisted support delivery, with the ability to guide adoption and improve workflows., • Clear written and verbal communication skills, including the ability to work with executives and work with others synchronously and asynchronously., • Proficiency with support platforms such as Zendesk, Salesforce, Decagon, or equivalent tools., • Knowledge of DevSecOps, continuous integration and continuous delivery, Kubernetes, cloud-native infrastructure, or GitLab gained through customer-facing work, platform use, administration, or support operations. The GitLab Support Engineering team is distributed across the Americas, EMEA, and Asia-Pacific. The EMEA region represents some of our deepest and most complex enterprise customer relationships. Support Engineers and Managers work on tickets and help GitLab's customers, and they also dig into code and logs to find root causes. Collaboration here is extraordinary. We solve complex problems jointly, participate in pairing sessions and one-to-one meetings, and stay in contact across time zones through deliberate asynchronous habits. How GitLab Supports Full-Time Employees • _, • _, • _, • _, • _, • _ Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from _ are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our _ Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also and . If you have a disability or special need that requires , please let us know during the .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). 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. Engineering Manager - Platform - Usage This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for a proven leader who enjoys guiding teams in solving complex workflow and systems problems, driving improvements in reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineering Managers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: • Manage and grow a distributed team of engineers, conducting regular 1:1s, providing consistent feedback, and supporting individual performance and career development., • Partner with product management and engineering leadership to shape the Usage squad's roadmap, strategy, and OKRs, ensuring alignment with overall company mission and customer impact., • Guide the team through the full project lifecycle, from early technical design and scoping to delivery and post-launch iteration, ensuring high-quality and timely outcomes within the Usage domain (e.g., billing engine, cost management and billing app, reconciliation systems)., • Act as a project manager, facilitating collaboration with Product, DealOps, GTM, Pricing and Monetization, Support, and adjacent AppCore squads to remove blockers and ensure coordinated delivery across service boundaries., • Foster a high-trust, security-first team culture that embraces thoughtful AI-assisted development practices to enhance engineering workflows and eliminate toil., • Contribute to hiring and talent acquisition efforts, partnering with People Ops to attract and retain a diverse group of engineers. What Makes You a Great Fit: • Experienced in people management, including conducting regular 1:1s, delivering candid feedback, and supporting career growth and performance conversations., • You are a leader who empowers engineers, focusing on setting clear direction, aligning on outcomes, and identifying risks early rather than providing task-level oversight., • Transparent and direct by default; you advocate clearly for your reports and proactively resolve ambiguity or conflicts, especially when priorities collide., • A strong communicator who thrives in a fully remote and globally distributed environment, comfortable collaborating asynchronously across time zones and cultures., • You take initiative and can move work forward in complex, systems-focused problem spaces, such as stateful systems, eventual consistency, and reconciliation loops. Requirements: • Minimum 2 years of experience managing software engineering teams., • Prior experience as an Individual Contributor (IC) in a related engineering role for at least 3 years., • A strong software engineering background, ideally including experience in backend systems (like Go), sufficient to credibly engage in technical design discussions and challenge the team toward strong decisions., • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability., • Demonstrated ability to manage delivery across multiple concurrent projects, align stakeholders with competing priorities, and clearly communicate risks and timelines., • Comfortable working with engineering teams who have a strong sense of autonomy in their decision-making., • Deeply customer-focused, consistently grounding technical decisions in real-world user and business impact., • Comfort with AI-assisted tooling and an expectation that you are curious and comfortable integrating AI-powered tools into a team's workflow. Bonus Points For: • Experience with high-volume billing systems, usage metering, and customer-facing cost management applications (like CMAB)., • Practical experience implementing and automating complex pricing logic, promotions, discounts, rebilling, and usage forgiveness, while ensuring strong auditability., • Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and compliance or system refactoring related to IT General Controls or Role-Based Access Control (RBAC)., • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems., • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)., • Experience contributing to or maintaining open source projects. Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 103,000 - GBP 129,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization 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 .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). 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 is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. The Opportunity: The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale. In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply. What You’ll Be Doing: As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves: • Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure, • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.), • Designing safe upgrade and rollout strategies at scale, • Improving observability, automation, and operational ergonomics, • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance, • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc., • Serving as a primary escalation point and on-call for relevant incidents, • Owning the relationship with all system vendors, including WarpStream Labs and others., • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence. 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). Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership. What Makes You a Great Fit: • Regular 1:1s with your manager and close collaboration with teammates across regions, • Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design, • Improving the diagnosability of core streaming and database systems in production, where possible., • Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure, • Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies, • Planning and executing safe upgrades and rollouts across dozens of production clusters, • Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy, • Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk, • Sharing best practices and distributed systems knowledge with partner teams, • Participating in incident response, from investigation through resolution and post-incident reviews (PIR) Requirements: • 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles., • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Solid understanding of distributed systems design and large-scale system trade-offs., • Proficiency in at least one programming language (Go preferred, but not required)., • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior., • Experience participating in blameless incident response and writing high-quality post-incident reviews., • Clear communicator who can collaborate across teams and work autonomously., • Curious, pragmatic, action-oriented, and kind (this is important!) Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. 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 _. 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: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization 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 .

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

Build strong relationships with local customers by providing a great service . As you learn your regular round, use the route planning software and build relationships with customers, you can become more efficient, complete more deliveries and increase your earning opportunity.

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Build strong relationships with local customers by providing a great service . As you learn your regular round, use the route planning software and build relationships with customers, you can become more efficient, complete more deliveries and increase your earning opportunity.

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Build strong relationships with local customers by providing a great service . As you learn your regular round, use the route planning software and build relationships with customers, you can become more efficient, complete more deliveries and increase your earning opportunity.

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Build strong relationships with local customers by providing a great service . As you learn your regular round, use the route planning software and build relationships with customers, you can become more efficient, complete more deliveries and increase your earning opportunity.

Any website or individual requesting money for a Certificate of Sponsorship (CoS) while claiming to represent us is not associated with our organisation. Were unable to sponsor or take over sponsorship of an employment visa at this time.

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Senior Health Care Assistant - days When registering to this job board you will be redirected to the online application form.Please ensure that this is completed in full in order that your application can be reviewed.Position : Senior Health Care Assistant Care home : Adswood Lodge.Contract type : 4

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