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senior accountant
Full TimeOn-siteSeniorCA$68,613 - CA$83,985 / Year
accountingcomplianceregulatory reportingcompliance

About Credit Union Central of ManitobaCredit Union of Manitoba (CUCM) is the trade association and service provider for the province's 15 autonomous credit unions. CUCM's purpose is to provide strategic leadership for credit unions, and to deliver high-value solutions that help each credit union achieve its vision.The Position:Reporting to the Manager, Financial Reporting, this position will provide their accounting expertise to support management and the entire department on various financial reporting matters and projects, including but not limited to; financial margin analysis, treasury reporting, regulatory reporting, board reporting, and preparation of monthly financial statements. In addition, the Senior accountant will oversee administration of financial software systems, including user management and system upgrades.The Person:Education equivalent to completion of a university (bachelor) program in a relevant field of study3 to 6 years of related work experienceAn innovation mindset with a focus on continuous improvementAble to drive a project from start to finishEnjoys tying loose ends and wrapping it all upKeen analytical skills and a detail-oriented mindset with a high degree of accuracyStrong communication skills to convey complex ideas in a concise and brief fashionHigh degree of computer literacy, particularly in spreadsheetsKey Competencies:Demonstrating a significant degree of knowledge in financial reporting, treasury reporting, analysis, and software.Demonstrating self-motivation; identifying and dealing with issues proactively and persistently; seizing opportunities that arise.Showing concern for all aspects of the job; checking processes and tasks for accuracy, thoroughness, and compliance with controls; seeking out opportunities for improving processes, effectiveness of controls, outcomes, or products.Taking the initiative in understanding the needs of others (internal and external customers).Effectively filling necessary roles; showing strong listening, summarizing, facilitating and "bridge building" skills to develop and maintain cooperation and teamwork. What we offer:We offer an excellent total compensation and benefits package including an incentive pay program, an extensive community service program, training and development opportunities, and a hybrid work environment that engages and enables our employees to serve our members.The salary will relate to qualifications and experience. The annual base salary range for this position is $68,613- $83,985. Closing Date: October 6, 2026. We are committed to providing a safe, respectful, and inclusive environment where your unique background, perspectives and talent are valued.CUCM welcomes applications from people with disabilities. Accommodation is available upon request during the assessment and selection process.We thank all candidates for their interest; however, only those candidates selected for an interview will be contacted. Job Posted by ApplicantPro

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Network Operation Engineer
ShareRemote (Fully Remote)30 days ago
Full TimeFully RemoteMid
pythongobashprometheusgrafanallm+6

Network Operations Engineer 1. About the role Share is the global marketplace for bandwidth. We aggregate telco infrastructure into a single layer and give ISPs, hyperscalers, and AI companies a clean path to deliver connectivity into every home and business across Kenya and the continent. Behind that marketplace is a real network: a BGP edge peering with Tier 1 transit, hyperscalers, and local exchanges, an MPLS backbone, aggregation and access gear, and the systems that watch all of it. For the partners who run on us, the network is the product, and the NOC is where they feel it. A clean shift is a partner who never knew anything happened. That is the bar. We are early and the team is small, so we cannot afford a pair of hands that only knows how to escalate. We need a capable network engineer who can stand a shift, resolve real faults without waking anyone, and then keep building the network while East Africa sleeps: propagation and peering checks, health passes across the estate, config changes through to merge, tickets off the board, automation that takes the next repetitive job off everyone's plate. The watching is the floor of this role, not the ceiling. The NOC you would be joining is not a legacy one. We are building it as an AI assisted operations environment from the ground up. The forwarding plane runs on open source routing and forwarding software, every device configuration lives in Git, and an LLM layer sits on top of the live network state. When something moves, that layer reads the telemetry, correlates it against the topology and the config history, and puts a probable cause and a candidate fix in front of the engineer on shift. The point is not to replace your judgment. It is to collapse the time between an alert firing and you knowing where to look, so mean time to repair is measured in minutes. You sit inside that system. You use it, you push back on it when it is wrong, and what you catch that it misses is part of how it gets smarter. As we build automation out across the NOC, you are not just a consumer of the tooling. You help write it. 2. What you'll do Watch, and know what you're looking at. Sit on our monitoring stack (Zabbix and Grafana dashboards, flow telemetry, alerting) and actually read it. Learn what normal looks like so abnormal jumps out at you: a BGP session that dropped, a link that went down, latency climbing on a path, a capacity threshold breached, a partner suddenly pushing or pulling nothing. Troubleshoot and resolve. This is where you earn your seat. Confirm the alert is real, gather the facts, and localise the fault: one peer or many, us or upstream, a real outage or a monitoring blip. The assistive layer surfaces a likely diagnosis and a suggested fix, the config history is right there in Git, and the runbooks are live. Your job is to read all of it critically, decide what is actually true, and close out what you can on your own. Every ticket you resolve yourself is one our senior people did not get pulled out of deep work, or out of bed, to deal with. Keep the network healthy, not just alive. A quiet shift is not an idle one. Run the proactive passes: check that routes are propagating the way they should, that RPKI and filter chains are doing their job, that peering and transit sessions are clean across the edge, that no PoP is drifting toward a capacity wall. Catch the slow degradations that never trip an alert. The day team should inherit a network in a known good state. Build and automate. The repetitive parts of this job should not stay repetitive. Write the scripts that turn a manual check into a scheduled one. Push our config automation forward (Jinja driven generation, NAPALM or NETCONF/gNMI against the devices) so changes ship from data, not from memory. When the assistive layer keeps missing the same thing, that is a candidate for automation, and you are well placed to build it during the hours nobody else is online. Move the work forward. You are part of the network team, working the same board they do. Pick up tickets from the Linear queue, take config changes through review to merge, and keep our source of truth (Nautobot) accurate as the estate changes. Real work lands while East Africa is offline, so the team wakes up further ahead than they went to bed. Report exactly what is happening. For everything you cannot or should not fix alone, the handoff has to be clean: what is wrong, where, since when, what is affected, whether it is getting worse, and what you have already tried. No guessing dressed up as fact. No "the internet is down." A clear, written incident note a senior engineer can act on the moment they open it, and a tidy handover to the East Africa team at the end of your shift. Escalate well. Know the ladder cold: what you are cleared to touch, what you must not touch alone, and who to bring in for what. Escalating early on a genuine outage is good judgment. Sitting silently on a problem because you were unsure is the one thing that gets people out of bed angry. Handle what you can, raise the rest fast and clearly, and do not turn either dial too far. 3. Who we're looking for A network engineer who can stand on their own through a shift, and who treats the quiet hours as time to build rather than time to wait. You will not be the most senior engineer on this team, and you do not need to be. The people you escalate to are CCIE level. What we need from you is independence and range: work a problem properly, resolve a fair share of it yourself, and use what is left of the shift to actually move the network forward. Pair that with clear reporting, sound judgment about when to bring in help, and the instinct to question a machine's suggestion rather than follow it blindly, and you are who we are looking for. Must-have Strong networking competence, held in your hands rather than on paper. CCNA and well beyond it. You understand TCP/IP, routing and switching, IP addressing and subnetting, DNS, DHCP, NAT, and how they behave when they go wrong. Real troubleshooting instinct. Given a degraded link or a dropped session, you know where to look and what to rule out. You can read BGP session state, follow a path with ping and traceroute, and tell a local fault from an upstream one without waiting to be told. Working BGP knowledge. Reading communities and route policy, spotting a flap or a leaky origin, understanding how transit, peering, and RPKI behave at the edge. Comfortable on the gear and the CLI. Linux, network device CLIs, and dashboards are familiar ground. We run MikroTik (RouterOS) across the network and so do many partners, so RouterOS experience is a real plus. Comfortable working with config in Git. Configuration lives in repos, not on devices. Reading a diff, understanding why a config changed, and proposing one yourself should not be foreign to you. Some scripting, and the appetite to do more. Bash or Python, enough to automate the repetitive parts away and to grow into our config and automation pipelines. We are not hiring a button pusher. Clear written English. You can describe a technical situation accurately and briefly so someone picking it up cold understands it instantly. Calm under pressure and dependable. When the graphs go red you get more precise, not more panicked. You show up for every shift, alert and on time. Located in New Zealand or a nearby time zone where covering our deep overnight maps onto your normal working day. Nice-to-have CCNP, or MikroTik MTCNA / MTCRE. Prior NOC, ISP, or carrier operations experience. Hands on with MPLS (L3VPN, EVPN) and the multi-tenant isolation a shared backbone needs. Exposure to open source and white box routing or forwarding stacks (SONiC, IP Infusion OcNOS, FRR, or similar). Network source of truth and automation tooling (Nautobot, NAPALM, Jinja config generation, NETCONF or gNMI). Familiarity with a monitoring stack such as Zabbix, Grafana, Loki, or Prometheus, and with flow telemetry. Working familiarity with FreeRADIUS, CoA and Disconnect flows, and how session control and accounting hook into the network. Exposure to applying ML or AI in network operations: anomaly detection, predictive failure analysis, automated triage or remediation. IPv6 and dual stack exposure, and internet exchange operations (looking glass and route server behaviour, IRR and RPKI hygiene). 4. What we offer A seat inside a serious, very senior network team , with people who have deep service provider backgrounds and will sharpen you fast. You will see how a real carrier network behaves under live conditions. A front row seat to how a network actually gets run in 2026. Open source forwarding, config as code, and an LLM layer doing real operational work. Not a slide about the future of network operations, but the environment you would work in every shift, and help build. Real engineering, not just monitoring. The role is built so the quiet hours go into automation, propagation and health work, and tickets off the board. The path into deeper network engineering and automation work is the plan, not a vague someday. Competitive salary and private health and wellness benefits , fully remote, in a mission driven, investor backed company building the backbone of Africa's next generation internet. Find Jobs in France on Arbeitnow

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Senior Product Manager, Wealth & AI (f/m/d)
Full TimeOn-siteSenior
llmdata sciencetaxinsurancecompliancecompliance+2

What we do At getquin, we're on a mission to empower everyone to build wealth. Founded in 2020, we started with a simple idea: help people see their entire financial life in one place, so they can make more informed decisions. Today, getquin has grown into one of the largest wealth platforms globally, already helping over half a million users manage and grow their wealth. Our platform combines analytics, tools and community to make wealth-building accessible for everyone, not just the experts. After launching in Germany, we've started expanding across Europe, with a focus on growing our user base, building valuable new features and helping even more people take control of their financial future. If you're excited to help shape the future of personal wealth management, join us. We're just getting started. What you'll be doing You've built products for investors. You know what a TER actually does to a long-run return, why a user with four brokers has no visbility what they really own, and how differently people behave when the number on screen is their pension rather than their pocket money. You've probably also hit the ceiling of what a chart can tell someone. Better tables, more filters, another allocation donut. The data was always there; the answer never quite arrived. We have something nobody else has: a complete, cross-institution picture of a person's wealth. Investments, cash, liabilities and insurance contracts, in one place, for over half a million users. Your work is turning that into features and insights people understand and act on, and the interesting tools for doing that now include AI. We're looking for an experienced Senior Product Manager to own that area. You'll work directly with the founders and the product team, alongside engineering and our financial advisory teams. This is a senior individual contributor role with no direct reports, and you'll mentor less experienced product managers on the team. Own the wealth product area end to end Set the product strategy and roadmap across the picture we give people of their wealth and how we help them optimize it Decide what we build on aggregated portfolio data that nobody with a single-broker view could build at all Own our efforts to stay on the forefront of digital wealth management services and play your part in disrupting a still very offline industry Work the unglamorous, high-leverage problems too: data quality, coverage gaps, missing cost basis, duplicate holdings across connections, ETFs held through more than one broker. A portfolio insight is only as trustworthy as the numbers under it Turn the data into something users act on Define the insights we surface about someone's portfolio, cash position and risk, and why each one earns a place on their screen Own our conversational AI assistant and our AI-driven insights: what they say, what they refuse to say, and how a user knows which is which Set the quality bar for anything we tell a user about their money: accuracy targets, human review, guardrails, rollback. Decide when something is good enough to ship and hold that line when the pressure is to ship anyway Own the numbers Define the metrics for your area: activation, engagement, the insight-to-action funnel, and contribution to subscription conversion and retention Run the experiments, including proper A/B testing, read them, and report what didn't work alongside what did Live in your own product analytics and write your own queries and reporting, rather than wait for someone to give that to you What we are looking for You might be a fit if: You've built wealth management, investing or portfolio products. You know the domain properly: instruments, ETFs, costs, allocation, risk, tax drag, and how retail investors actually behave rather than how they should. This is the requirement we're least flexible on You've owned a product area end to end against a number you defined yourself, with real experimentation behind it You've shipped at least one AI or LLM-based feature to production for real users, and you owned its output quality. You've shipped inside a legal or compliance constraint, and you can reason about where an insight becomes advice. Your product discovery produces evidence, not opinion. You can show us a real research artefact and a decision that changed because of it You're fluent in English; German is a plus You can work from our Berlin office, and you already have the right to work in Germany That usually adds up to around five or more years in product, but we care about the evidence, not the year count. If you came to product from engineering, data science, research, design, financial services, or from a Product Owner role, that counts. Strong plus if you have: PSD2, open banking or account aggregation experience Insurance or brokerage product exposure, which matters as we move into advisory Recommendation systems or personalisation at scale Subscription and paywall experimentation Experience mentoring or coaching other product managers Your own portfolio, and opinions about it If you meet most of this and not all of it, apply. We'd rather read your application than guess. Work authorisation This role requires an existing right to work in Germany. We're not able to sponsor visas or support relocation for this position, so we can only consider candidates who already hold German or EU work authorisation, or who can obtain it independently. We'd rather tell you now than after four conversations. What the first six months look like Month 1: you know the data model, the aggregation layer and its technology behind it. What our analytics do and don't cover, and understand how AI is already being used and where it. You've written down the three things you think are most wrong with the product today Months 2 to 3: a written, agreed area strategy with a prioritised roadmap, a primary metric with a baseline, and, clear metrics that you will be monitoring and optimizing along the way Months 3 to 4: the first thing you scoped is live to a user segment, with a read on the primary metric, and with quality measurement behind it if it involves generated output Months 5 to 6: two or three shipped iterations with measured results, including the ones that didn't work, a quality bar the team applies without you in the room, and at least one junior product manager who's visibly better at their job because of you You won't be measured on shipping volume. You'll be measured on whether your area got measurably more useful and more trustworthy. Why join getquin? Why join getquin? We're a fast-growing B2C fintech, and here, your work has real impact. From day one, you'll take ownership of your domain, ship features end-to-end, and help shape the direction of a product used across Europe. We value initiative, ownership and creativity, not layers of process. Three things that are specifically true of this role: Wealth management is ripe for disruption. Following digitalisation waves of banking and brokerage services, we are leading those efforts across the next big topic for private individuals: better understand and optimize your wealth The data asset is genuinely rare. Aggregated cross-institution wealth for half a million people, with over +€25bn in connected assets. Trade Republic sees its own platform. N26 sees the current account. Nobody else in Europe sees the whole picture, which means there are product questions you can only answer here You'll own the area, not a slice of it. At our size the decisions are yours Ready to build something meaningful? Then join us at the forefront of making wealth building accessible to everyone. How we hire Five conversations, typically three to four weeks from first call to decision. We tell you where you stand after every step, and we respond within seven days at every stage. Recruiter screen, 30 min, video. Role, scope, the salary band, hybrid expectation, notice period, work authorisation. No trick questions Hiring manager, 60 min, video. Your product area ownership, the outcome you drove, and your depth in the wealth domain. This is the first real fit conversation, in both directions Product case, take home. We give you a real getquin problem on aggregated wealth data and work through it together. We know you already have a job, hence we do not impose an in-person case during working hours Cross-functional panel, 2 x 30 min, in our Berlin office. Cover in more depth your case study and deep dive further in your understanding of product metrics and approach to product development. Usually in person in our office. Close conversation, 30 min. Team fit, how you like to work, and whatever is still open, including your questions for a founder Along the last part we will be making reference checks, but only with former employers. Once we have this, we will make you a formal offer. The whole loop runs in English. Tell us if you need any adjustment to the process, whether timing, format or accessibility, and we'll make it. You don't need to explain why. Find more English Speaking Jobs in Germany on Arbeitnow

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Menswear Product Manager-Manchester Shambles
INDITEXMANCHESTER, United Kingdom30 days ago
Full TimeOn-siteMid
reactschedulingforecastingpayrollsalespartnerships+1

Job Title PRODUCT MANAGER Full time position Reporting to SD / GENERAL Manager Purpose Key Responsibilities Is responsible for the commercial identity of the store. Analysis the performance of the store/department (Clothes, Tempe and Perfumes) in order to ensure the achievement of sales targets, using the appropriate analysis tools and planning the correct strategy COMMERCIAL PERFORMANCE AND ANALYSIS: · Analyse sales data for the Store and adjust strategies as necessary to maximise sales · To plan the strategy for the store with the Store Director/General Manager on a weekly basis. · Oversee the store plan and layouts to enhance commercial strategy and optimise the customer shopping experience · To work alongside the Regional and National Team ensuring that all Country strategies are implemented according to your customer profile by planning and organising workshops in store. · In depth knowledge of all commercial applications: Retail app, Merchan app, Alert exposition, Itx stock, Deliveries app, Money mapping … · To prepare and lead official in store visits evaluating sales potential, and providing strategy feedback and product needs. · Work closely with OPS Managers to synchronise visual strategies with promotional activities, product launches. · Follow up on stock management by revising and lead the proposals for backstocks in line with the weekly strategy. · Control product levels in the store and communicate with Senior Management and Spain PM if any products are needed. · Ensure scheduling is done for the Commercial Team in Orquest in line with company guidelines. VISUAL MERCHANDISING STRATEGY: · Develop and execute the visual merchandising strategy to align with brands identity, market trends and business goals · Ensure seasonal planning is reflected on the shop floor according to the commercial calendar and Company strategies following season trends and market needs. · To identify and implement creative and visual ideas for the store, manage in store furniture, lighting and internal mannequins in order to maintain high standards of image. · Ensure windows are up to standards and propose changes when necessary. · Keep up to date with the latest fashion trends and participates in Fashionista projects. TEAM LEADERSHIP & DEVELOPMENT: · To be responsible for the training and development of the Commercial team by ensuring that regular feedback, reviews and adequate training is given. · Identify and develop potentials within the store and manger succession plans with the relevant follow up on LEAP. · To lead and keep a high level of motivation within the team · Daily commercial updates with the team to ensure they are informed, engaged and equipped to drive sales and deliver exceptional customer service. · To be responsible for all payroll processes and comply with deadlines · To ensure that all ER processes are followed according to the company policy in managing formal and informal meetings, sickness and absence. · To be an ambassador in the company's sustainability project and ensures that the store upholds and works towards finding new, innovative and economically reductive ways to be sustainable. Ensure that all company related initiative are fulfilled. CUSTOMER EXPERIENCE: · Lead by example and contribute to the highest standards of customer service across the store. · Deep understanding of customer behaviour and profile, and takes actions to improve the product knowledge of the team to increase sales and achieve commercial goals. · Be able to solve and manage customer issues and escalate to the customer service team if necessary. · Actively participates in all the actions to improve Customer Experience SECURITY PROCEDURES: · Support to ensure security and funds management procedures are followed rigorously by all employees in the store and all relevant documentation has been signed. · Support with the organisation of the security team and all procedures related. · Open and close cash desk and gives support to cash desk team · Monitor cash discrepancies level and report to line management. · Oversees the banking procedures and follow up any incident reported by L&P Department. · Support with the request of change and follows up accordingly. · To support with all store security procedures to minimise stock loss and supports action plans accordingly. · Support to ensure security and funds management procedures are followed rigorously by all employees in the store and all relevant documentation has been signed. H & S: · To be aware of the risks of employees and customers are exposed to and to be aware of safe work practices and company procedures to overcome them · To ensure good housekeeping is maintained throughout all areas in the store and to be able to use the HS Net app to report accidents Experience and qualifications · Previous fashion retail experience essential · Experience in Merchandising, preferably in a similar environment. · A fashion/textile design qualification is desirable but not essential. · Proven record of creating and implementing successful commercial actions. Skills and Attitudes · Passionate about fashion. · Ability to lead by example, motivate and develop the team. · Ability to demonstrate commerciality involving current trends and forecasting future trends. · Strong time management and organisational skills. · Strong interpersonal skills with an emphasis on building partnerships, managing conflict and influencing others. · High level of numeracy, written and verbal communication skills are essential. · Strong knowledge of Keynote, with the ability to design and deliver visually compelling presentations. · Ability to drive change: open minded, flexible, adaptable, oriented to results, embraces technology and innovation. · Resilient and able to handle pressure and react quickly to situations, making timely decisions in challenging conditions / circumstances. This job description is designed to help you understand your role better and to improve the effectiveness of our recruitment process. It is not an exhaustive list of all the things that you may be required to do and maybe required to take on additional tasks. Inditex is an equal opportunities employer. We are proud of being fully committed to diversity and multiculturalism. Our teams include people from a wide range of cultures, backgrounds, and experiences, including a mix of race, Gender, gender identity and expression, ethnicity, age, education, socioeconomic groups, disabilities, Religious beliefs, sexual orientation etc. Inditex champions a culture inclusion and acceptance. Find more English Speaking Jobs in United Kingdom on Arbeitnow

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Finance Data Engineer
VoodooParis, Germany30 days ago
Full TimeOn-siteMid
pythonscalaawsterraformkubernetessql+10

About Voodoo Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. Team Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organisation efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. As Voodoo continues to grow, we are transforming the way Finance uses data and technology. Our ambition is to move from fragmented, spreadsheet-heavy workflows to a modern, reliable, and increasingly automated Finance data platform. Role We're looking for a Finance Data Engineer to join our Corporate team. In this role, you'll own the technical transformation of Finance by building the data foundations, pipelines, and internal tools that enable Finance teams to operate more efficiently and make better decisions. Reporting to the CFO, you will work closely with Finance stakeholders and Voodoo's central Data team, combining data engineering, business understanding, and product thinking to turn complex Finance needs into reliable and maintainable solutions. Define and drive the roadmap for Finance data, automation, and internal tooling Build and progressively scale Voodoo's Finance data platform, prioritising the use cases that create the greatest business value Migrate critical data transformations and workflows from spreadsheets and legacy tools to tested, documented, code-based solutions Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operational processes Establish strong standards for data quality, observability, documentation, security, and access management Partner closely with Accounting, FP&A, Controlling, Treasury, and other Finance stakeholders to translate their needs into scalable technical solutions Collaborate regularly with Voodoo's Data leadership and engineering teams to align on architecture, tooling, and best practices Build intuitive dashboards and internal applications that allow Finance teams to explore data and manage workflows independently Identify AI and automation opportunities, take them from prototype to production, and measure the value they create Help Finance teams adopt data and AI tools effectively through documentation, training, and day-to-day support Profile Significant experience in data engineering, analytics engineering, or a closely related role, including ownership of production-grade data solutions Proven track record of building or substantially improving a modern data platform or analytics stack Highly proficient in SQL and comfortable building production systems in Python Strong software-engineering practices applied to data work: testing, version control, code review, documentation, and monitoring Solid understanding of core corporate Finance and accounting concepts; familiarity with French accounting principles is a strong advantage Ability to translate ambiguous business needs into clear, pragmatic technical solutions Comfortable working autonomously, prioritising competing needs, and delivering value incrementally Strong communication skills with both technical and non-technical stakeholders, in French and English Curious about the evolving data and AI ecosystem — you test new approaches on real problems and form your own point of view Rigorous, detail-oriented, and focused on measurable outcomes; pragmatic in technology choices, knowing when to build, adopt open-source, or buy commercial solutions Nice to have: Experience building tools or data products for Finance teams Experience deploying AI agents or AI-enabled workflows into production Familiarity with the mobile gaming, consumer apps, advertising, or digital analytics ecosystem Experience operating data infrastructure on AWS Our Stack Cloud: AWS Languages: Python, SQL, Scala Transformation & orchestration: dbt, Airflow, Spark Query engines: Athena, StarRocks Infrastructure: Terraform, Kubernetes Internal applications: Streamlit AI-assisted development: Claude Code, MCP-based internal tooling Benefits Competitive salary based on experience Swile Lunch voucher Gymlib (100% covered by Voodoo) Premium healthcare coverage with SideCare, 100% covered for you and your family Wellness activities in our Paris office Remote Fridays Find more English Speaking Jobs in France on Arbeitnow

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Data Steward - Corporate Operations RH (f/m/d)
Full TimeOn-siteMid
sqldatabrickstableaujirapayrollworkday+2

Nous recherchons un-e Data Steward Corporate Operations People basé-e à Lille ou Paris DECATHLON accélère la transformation et la digitalisation de ses processus RH, en partie grâce à une forte maîtrise de ses données People et de leurs usages. Pour accompagner cette transformation, nous déployons une plateforme RH mondiale intégrant un CORE RH (Workday) et plusieurs modules de talent management (Performance, Comp&Ben, Career management...). Au cœur de la réussite de Decathlon se trouve notre engagement envers nos 100 000 collaborateurs. L'équipe People Data joue un rôle essentiel dans ce développement. En rejoignant notre équipe pluridisciplinaire (plus de 30 experts : Data Product Managers, Data Analysts, BI engineers, Analytics Engineers, Data Engineers et d'experts en Gouvernance de données), vous travaillerez sur l'ensemble des processus RH et serez le garant de la gestion et de la protection de nos données. Vos responsabilités principales En tant que Data Steward, vous jouerez un rôle essentiel dans la gestion et la protection des données au sein de l'entreprise. Vous travaillerez en étroite collaboration avec les équipes métiers, les équipes IT et les autres parties prenantes pour garantir que les données de votre domaine soient documentées, fiables, accessibles et conformes aux normes internes et réglementaires : Documentation & discoverability : vous participez à la structuration des concepts business et garantissez une documentation cohérente et centralisée dans le Data Catalog (Collibra). Vous assurez le lineage entre les concepts métiers et les connaissances techniques Accessibilité de la donnée : vous traduisez les besoins métiers en exigences techniques d'exposition, et accompagnez les Data Users dans la localisation et l'utilisation des données en favorisant l'usage du Data Catalog. Vous vous assurez que les ingestions de données dans le Datalake respectent les standards (storage zone, schémas, nomenclatures…) Sécurité & conformité : vous veillez à ce que la donnée reste strictement conforme aux exigences de sécurité et aux règles légales (ex: CNIL, RGPD, PIPL). Vous vérifiez l'alignement avec le registre de traitement du DPO Animation & collaboration : vous collaborez activement avec les Data Owners, Data Quality Manager, Data Manger, Product Owners/Data Producers et équipes techniques (Data Engineers, BI Engineers). Vous contribuez également à la communauté globale des Data Stewards pour améliorer la maturité et faire évoluer les standards. Votre écosystème & les spécificités RH Outils & processus : vous évoluerez dans un écosystème marqué par des solutions telles que Workday, des outils d'acquisition de talents (ex: GreenHouse), et des systèmes de paie locaux et globaux. Objets de données : vous documenterez des entités propres aux ressources humaines (Job profile, Worker, Payroll, Cost Center, etc.). Enjeu clé de conformité : une attention extrême sera portée à la confidentialité des données personnelles et sensibles des collaborateurs. Ce dont vous aurez besoin pour réussir Expérience : solide background en Data Stewardship, idéalement sur des projets RH, dans un environnement complexe et multi-pays Savoir-faire technique : maîtrise de l'usage d'un Data Catalog (idéalement Collibra), compréhension des écosystèmes Data (API, Datalake, Data Warehouse), requêtes SQL simples, et méthodologies Agiles (Jira). Connaissance des environnements Cloud (Databricks, Tableau) Savoir-être : rigueur, excellent esprit d'analyse et de synthèse, sens du service. Capacité à convaincre, à vulgariser et à fédérer des interlocuteurs variés. Anglais courant indispensable (niveau B2/C1) pour collaborer avec le réseau mondial. Niveau d'autonomie : capacité à travailler en autonomie sur des périmètres complexes, à influencer les bonnes pratiques et à animer des initiatives transverses à fort impact. Ce que nous t'offrons Mode de travail hybride (3 jours sur site / 2 jours de télétravail) Matériel fourni en accord avec tes missions et nos engagements sociétaux Une équipe apprenante : intégration dans la team People Data composée de plus de 30 experts et une communauté globale de Data Quality Managers. Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels) NOTRE ENGAGEMENT EN FAVEUR DE L'INCLUSION ET DE L'ACCESSIBILITE Chez Decathlon, nous reconnaissons l'immense valeur qu'apporte la diversité à nos équipes et nous nous efforçons continuellement de favoriser et de cultiver un lieu de travail inclusif et équitable : c'est pourquoi l'Inclusion est l'un de nos Fondamentaux Humains. Nous encourageons les personnes de tous horizons et de toutes capacités à postuler, car nous sommes convaincu·es que la diversité des pensées, des cultures, des identités et des expériences vécues nous rend plus fort·es. Decathlon s'engage également à offrir un processus de sélection inclusif et accessible à tous les candidat·es. En cas de besoin d'aménagement, tu peux en faire la demande via le formulaire de candidature, celle-ci sera confidentielle. Ces demandes n'affectent pas le résultat du processus de recrutement" DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find more English Speaking Jobs in France on Arbeitnow

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office manager
PattyMac Inc.Bala, Canada30 days ago
Full TimeOn-siteMidCA$45,000 - CA$60,000 / Year
dentalaccountingquickbooks

Spencer Douglas. has over 8 years of experience as designers of luxury homes, cottages and boathouses in Muskoka, and we stand behind every one of them. At Spencer Douglas we are looking for enthusiastic people to join our hard-working team. If you are looking for a company that provides room for growth and a positive work environment, we?d love to hear from you! We?re seeking a positive, outgoing, and optimistic Office Manager with a minimum 2 to 5 years of experience, preferably in the construction industry. Responsibilities · Greeting customers in a professional, friendly, and hospitable manner · Create intake and agreement forms for new customers and employees · Provide administrative support to all professional staff and customers as required · Administering all incoming calls and route them accordingly in a professional manner · Prioritize and manage the directors calendar and use Outlook to schedule/organize meetings · Order and monitor usage of office supplies · Manage files (hard copy and electronic) · Accounting data entry and miscellaneous tasks Requirements · Minimum 2 years of experience in Office Management · Proficient computer skills (Microsoft Office, Quickbooks, Programa) · Strong work ethic · Exceptional written and verbal communication skills, and interpersonal skills · Self-directed and able to complete tasks without Supervision · Excellent problem-solving skills · Ability to prioritize workloads and manage multiple task and deadlines · Excellent time management and organizational skills Job Type: Full-time Monday ? Friday 8:00-4:30 Wage: $45,000 - $60,000 depending on experience Location: Muskoka Region Benefits: After 6 months of continuous work Job Types: Full-time, Permanent Pay: $45,000.00-$60,000.00 per year Benefits: Dental care Extended health care Paid time off RRSP match Ability to commute/relocate: * Bala, ON: reliably commute or plan to relocate before starting work (required) Work Location: In person

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assistant store manager
Full TimeOn-siteMidFrom CA$41,600 / Year
godentalschedulingcapayrollcoaching+4

At Chatters, beauty is more than what we do, i t's how we connect, create, and build confidence every day. From professional hair services to must-have beauty products, we bring passion and expertise together to create inspiring spaces where customers feel welcome, empowered, and excited to explore their personal style. We are looking for an Assistant Store Manager at our Village Green Mall Salon in Vernon, BC ! What You'll Do: Support daily retail and salon operations to ensure a smooth, welcoming experience Lead by example, coaching and motivating team members to achieve sales and service goals Build strong relationships with customers, creating loyalty through consistent and memorable experiences Assist with scheduling, payroll, inventory management, and customer appointment bookings Maintain a clean, well-stocked, and beautifully merchandised salon that meets Chatters' standards Share product knowledge and support training, onboarding, and development of team members Step in as a leader when needed, solving problems and making decisions that positively impact customers and the team Who You Are You're a values-driven leader who brings intention, passion, and authenticity to everything you do. You align with our corporate values: Start with the Power of You : You lead with confidence, creativity, and accountability, taking pride in your work and ownership of your growth. Every Interaction Matters: You understand that each customer and team interaction is an opportunity to create a positive experience. Make It Memorable: You go beyond expectations, creating moments that leave a lasting impression. More Than Just Beauty: You see beauty as a way to build confidence, connection, and community Commit to Grow and Learn: You're motivated to continuously learn, develop your leadership skills, and support the growth of others What You Bring At least 1 year of retail leadership experience Passion for beauty and delivering exceptional customer experiences Strong communication, organization, and time-management skills Ability to multitask in a fast-paced environment Reliable, accountable, and solution-oriented mindset Comfort using POS systems and basic computer programs Flexible availability, including evenings and weekends What We Offer Competitive hourly wage, starting from $20.00 per hour Sales incentives and performance-based rewards Product and salon service discounts Sales incentives Medical and dental benefits (where applicable) FREE in-salon, regional, and national education opportunities Opportunities to learn, grow, and advance your career How to Apply Ready to lead with confidence and purpose? Submit your online application or email us at careers@chatters.ca Connect with us on: Instagram: @chattershairsalon Facebook: Chatters Hair Salon LinkedIn: Chatters Canada Website: https://www.chatters.ca Chatters prioritizes diversity, equity, and inclusion because we know it makes our company a better place to work and shop. We are committed to creating accessible environments for our team members, candidates, and customers. Requests for accommodation due to a disability — visible or invisible, temporary or permanent — can be made at any stage of application and employment. We encourage candidates to share their needs so we can provide equitable opportunities. Powered by JazzHR

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assistant store manager
Full TimeOn-siteMidFrom CA$41,600 / Year
dentalschedulingcaexcelpayrollsales+1

Do you have a passion for business AND an artistic flare ? Are you a driven, inspirational mentor that strives for success? That is what Chatters is all about, and we just happen to have an exciting opportunity for you at our Guildford Town Centre Retail Salon! We're looking for a confident and people oriented Assistant Store Manager who can multi task and keep things running smoothly in our busy salon environment. A little about what you bring to Chatters: Enthusiastic about all things beauty! At least 1 year of experience in a retail leadership role You can build rapport with our guests and your team, with an unwavering understanding that the "Experience is Everything" Flexible, self-motivated and driven with excellent people and communication skills Superior time management skills – you get things done on time, every time (and on budget!) Knowledge of computer systems like Point of Sales, Excel, PowerPoint, Word and Gmail You are your own success story, inspiring others to be their best A knack for problem solving. You're highly responsible and 100% reliable A little about what you'll do: Be responsible. Retail operations management –you got this! You'll analyze, maintain and improve our systems and processes Oversee and book guest appointments – with a smile! Share your passion. With the help of your proven experience and your love for all things beauty-related, you'll coach and train the sales team to help them achieve store sales targets Make sure the salon is kept sparkling clean, well-stocked and merchandised according to Chatters' standards Show off your encyclopedic product knowledge! Not only will you be the resident expert on all of our products, you'll also oversee the inventory, product ordering and pricing Some number crunching – you'll be monitoring budgets, payroll management, scheduling and cost of goods management Have fun! Provide a welcomed environment for guests and beauty consultants A little about what we offer: At Chatters, we believe great employees deserve great benefits like: A competitive salary starting at $20.00 per hour Discounted products and salon services FREE in-salon, regional and national education opportunities Sales incentives Medical and dental Employer RRSP contributions Plus, lots of opportunities to learn and grow! Want to get to know us a little better? Come check us out at https://www.chatters.ca Chatters prioritizes diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our team members, candidates, and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities. Powered by JazzHR

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Lead Machine Learning Scientist, Business Banking
Full TimeOn-siteLead
pythongosqlmachine learningscikit-learnllm+9

🚀 We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning Business Banking team Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK's most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We're building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively. As a Lead Machine Learning Scientist in Business Banking, you'll help build and ship models that power the next generation of Business Banking experiences. You'll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it's helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs. What you'll be working on As a Lead Machine Learning Scientist, you'll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You'll: Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum. Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers. Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics. Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs. Design robust evaluation and monitoring so we can ship responsibly and measure impact in production. Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting). Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor. Set technical standards, mentor others, and support experimentation and iteration. You should apply if What we're doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company. You have experience developing and shipping state-of-the-art ML models to production and delivering business impact. You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. You speak Python fluently and have extensive, hands-on experience with scikit-learn . You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices. You're comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. You want to be involved in building a product that small businesses use to run and manage their financial lives every day. You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. You're excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain. You're adaptable, curious and enjoy learning new technologies and ideas. You're excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability. You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use. You're thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter. Nice to haves Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications. Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software. Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences. Commercial experience writing critical production code and working with microservices. Experience designing experiments, A/B tests or other approaches to measure product and customer impact. Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important. The interview process Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance #LI-REMOTE #LI-SR1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊 Find Jobs in United Kingdom on Arbeitnow

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Senior Software Engineer
Street GroupManchester, Germany30 days ago
Full TimeOn-siteSenior£55,000 - £55,000 / Year
gophprreactangularvue+9

📍Manchester (Hybrid, up to 4 days WFH) | 💰 £55k-£75k Street Group is one of the fastest-growing PropTech companies in the UK. We want to be the leading creator of delightful experiences for everybody involved in buying, selling, renting and letting property, regardless of their involvement, to improve the industry for everybody by elevating UK Estate Agencies through world-class technology. Our products, Street.co.uk and Spectre form a powerful duo, working harmoniously together to transform an agent's job. From securing more leads and winning new instructions to streamlining business operations and growing market share, our products are supercharging 1,000s of agencies across the UK. How we work in 2026 Engineering at Street Group has changed. Most of us don't write code by hand day-to-day anymore - agents do; we direct. The bar has moved with it; planning and judgement matter more than typing speed: engineers run several workstreams in parallel, directing agent sessions while their own attention goes on design calls and the more complex problems. Real product and user understanding, once a "nice to have," is now baseline. Being genuinely tuned into AI tooling is core to the role here, not a side skill - and if you'd rather work the "old" way, that's fair - but we're probably not the place for you. You'll own features from start to finish: scoping the problem, directing the build through to deployment, and iterating based on what you learn. You'll also contribute to discovery and ideation, and work alongside designers and engineers to identify, prioritise, and solve problems efficiently. If you love autonomy, are naturally curious, and want to have a genuine impact within a growing company, we think you'd fit right in! Here's what you can expect to be working on as a Senior Software Engineer (L5) at Street Group Owning your area of the codebase and its direction: scoping ambiguous problems end-to-end and building with distributed systems and scale in mind. Directing parallel agent sessions to deliver work, while your own attention goes on the design decisions, reviews and complex problems where your judgement is required. Playing an active role in the department's big technical moves: security work, architectural changes, and platform upgrades. Building and improving the team's AI infrastructure beyond your own work - shared plugin skills and the review and CI loops the whole team relies on. Bringing product thinking into everything you build: understanding the user and commercial problem behind the brief, challenging requirements that don't serve the outcome, and being a regular technical voice in discovery alongside product and design. Mentoring less experienced engineers and holding the team's output to a high standard by showing others how to reach it. Work closely with technical leaders and Product Designers to offer technical input; paying special attention to scale, maintainability and alignment. A bit about you You have commercial experience with PHP and Laravel (or a similar MVC framework) - we're less fussed about deep Laravel internals than about solid MVC fundamentals and framework concepts. You have experience working with Vue 3, React, Angular, or similar modern JS framework You have production experience with AWS. ECS, Lambda, SQS, EventBridge and RDS are advantageous. You work AI-natively as a default, using tools like Claude Code, plugins and skills fluently. You design solutions built for scale with little to no support - you know intuitively where performance and load will bite, and just as importantly, when early optimisation isn't worth it. You understand what you're building and why - product thinking is part of the job for you. You're a great communicator with strong attention to detail, and you're comfortable influencing beyond your own team. Why join Street Group? 🏠 Hybrid-working - you can work from home up to 4 days per week 🏖️ Guilt-Free R&R - £1000 towards a holiday after your first year with the team (we'll even cover the tax!) 💪 Joining a culture that supports your development and encourages growth 📚 £500 yearly L&D budget for your career development 🎂 Your birthday on us - we pay, you stay away 🙋 'Give something back' - 2 paid days volunteering on us 👶 Enhanced maternity, paternity & adoption pay 🧠 Mental health & well-being support via Health Assured 🧘 Regular well-being initiatives 🕒 Flexible working hours 🚂 Public transport season ticket loans 🌷 Paid menopause leave 🌞 Holiday buying scheme 🚀 Joining a new team in an exciting business with huge ambition 👥 Be a part of something bigger - everyone in our team is passionate about improving the entire property industry! It's a huge goal, but it motivates us to do better every single day 👩🏿‍💻 A chance to work on cutting-edge technology 🐶 Comfortable, relaxed office space - office dogs welcome! 🍻 Fully stocked fridge and beers (or an alternative) on us every Friday afternoon 🎊 Company and team off-sites, events and happy hours 🚴 Cycle to work scheme 🚗 Electric car salary sacrifice scheme 🌍 Feel good about sustainability - we're a climate-positive company! Research has shown that women tend to rule themselves out of applying for jobs unless they meet 100% of the requirements. If you fall into that category and were about to rule yourself out based on the above criteria; please consider applying anyway. We'd love to see your application! Salary £55,000 - £75,000 dependent on experience. However, sometimes the perfect person is far more or less experienced than we anticipated. In these situations, planned ranges go out the window. If you think that might be the case, please apply and just let us know. We care deeply about helping the tech industry become a more inclusive and diverse place and we work hard to lead by example. We are committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all. Candidates must be eligible to live and work in the UK and be able to perform the work specified. Interview Process 4 stages (incl. tech task) = An introductory call with one of our Talent team > Take-home tech task > Technical Interview > Final interview. We want to make our interviews as inclusive as possible, so if you need any adjustments made, or if there's anything you think we should be aware of during the interview process, please do let us know. A note on using AI in your job application As a fast-moving and rapidly evolving tech company, we embrace the advantages of AI and encourage its use throughout our application process. However, our goal is to get to know and hire the authentic you - your skills, experience, and values. We don't want to hire an AI-generated version of you. We consider AI to be a valuable tool, not something that should overshadow you as an individual. How we use AI in the hiring process Candidate experience is really important to us, and our Talent team use AI notetakers during interviews so they can focus purely on their conversation with you. All hiring decisions are made by humans - not AI. Let us know if you have any questions! Compensation: £55K – £75K Software Engineer L5 • £55K – £75K Find Jobs in United Kingdom on Arbeitnow

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Forward Deployed Builder
EmaUnited Kingdom (Remote) (Fully Remote)30 days ago
Full TimeFully RemoteMid
gojiraarchitecturepayrollsalesrecruiting+2

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The role "The ideal forward deployed builder is a composite. Not a software engineer, not a product manager, not a solutions architect or a salesperson — but able to draw on any of these to solve the customer's problems, in the customer's building, on the customer's timeline, against the customer's data." Ema is building the Universal Agentic Control Plane — the layer where enterprises turn messy, human-run business processes into AI Employees that actually do the work. The platform is powerful. The bottleneck is people who can walk into a customer's world, see what should be automated, and make it real. That's this role. We're looking for a Forward Deployed Builder to embed inside our customers and partners, find the highest-value opportunities for agentic automation, solution them, build the demo, win the deal, and then stay to implement it in production. You go in alone, Rambo in the jungle, armed with your wits, your skills, and the most powerful agentic platform on the market. We'll train you hard before you deploy. After that, the territory is yours. This is not a support role behind an account team. You are the account team, the solutions architect, and the builder, compressed into one person on the ground. Very few people in the world are doing this today. You'd be among the first. Where you'll be Embedded, in-person, where the work is. You'd work in rotational deployments between your home office and the customers you're embedded with across EMEA and North America. That could mean six months in London, followed by another six in Bangalore, with six more in New York. If the idea of a rotating tour across EMEA and North America lights you up, keep reading. What you'll actually do Hunt for the work worth doing. Sit inside the customer's operation, learn how they really run, and identify the processes where agentic automation creates outsized value — the ones everyone lives with but no one has fixed. Solution it. Take a tangled, real-world business process and design it into a clean, streamlined agentic flow on Ema. You'll make the architecture calls: which agents, which integrations, where a human stays in the loop. Build the demo. Get your hands dirty and actually build a working demo — a proof that makes the value undeniable. For partner deployments, that demo becomes their showcase to their customers, so it has to be sharp. Win the technical conversation. Read the room in the moment that matters, own every technical objection, and prove the thing works. You're the one who makes the solution undeniable — that's how the deal gets won. Implement it. Turn the won deal into a live, production agentic workflow the customer trusts and adopts. You own the outcome from first conversation to real usage — not a slide, not a pilot that dies, but something running. Who you are We don't care about a rigid list of years and titles. We care that you're: Technical enough to write some code and use our agentic platform to build a real demo - not just talk about one. Persuasive enough to read an audience and weave a captivating story that ties their pain points to Ema's value proposition. Product-minded enough to look at a chaotic business process and see the beautiful, streamlined agentic flow hiding inside it. AI-first enough in your day-to-day to drive the impact of ten people — putting agents to work instead of grinding harder. Most people are strong in one of these. The rare ones are formidable in all four — or hungry enough to become so. That's who we're looking for. The archetypes who would thrive in this role The Management Consultant who wrote code at some point in their life, misses building things, and wants to step into the agentic world for real. The Product Manager who's tired of owning a sliver and wants to live the entire journey of solving a user's problem - from the first sales conversation all the way to adoption. The Engineer who's ready to leave the safety of a Jira backlog and learn to navigate the chaos of a live agentic transformation The Ex-Founder who's shelved the startup for now and wants to keep their edge sharp - craving operational freedom in an entrepreneurial environment The Wildcard who fits none of the above, but has both the burning passion and the proven skill to deliver. If that's you, make your case. Why this role, why now Agentic AI is the biggest shift in enterprise software in a generation, and the playbook for deploying it is being written right now — by a handful of people. This is your shot to be one of them: to build the muscle, own real outcomes at real companies across two continents, and come out the other side as one of the most capable operators in the agentic world. We'll make you deadly. Where you take it is up to you. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics. Find Jobs in United Kingdom on Arbeitnow

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