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Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Technical Writer to write and edit enterprise documentation that empowers our customers to use Fivetran and understand how our data warehouse, database, and data lake products work. You’ll collaborate with engineers, product managers, support engineers, and other technical writers. You join a friendly team of technical writers distributed among our international offices. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Documentation-as-code tools, including Markdown, Git, GitHub, and CI/CD workflows Data platforms such as Snowflake, Databricks, and BigQuery Cloud storage services such as Amazon S3, ADLS, and GCS Collaboration and project management tools such as Jira and Slack What You’ll Do Create and maintain clear, accurate product documentation and release notes that help customers succeed. Review and refine customer-facing content, including error messages and UI text. Use a docs-as-code approach to co-author documentation with engineers, product managers, and contributors across the company. Improve existing documentation by ensuring technical accuracy, clarity, and consistency. Collaborate with a global writing team to define and evolve documentation standards, style, and terminology. Partner with engineers, SMEs, and cross-functional teams to deliver best-in-class technical documentation. Contribute to style guides, templates, and other shared resources that raise the bar for all company content. Act as a writing resource for other teams, helping improve content quality across the organization. Skills We’re Looking For Extensive expertise in data warehouse and data lake documentation: 8+ years of experience documenting data warehouses, databases, data lakes, and cloud applications for a US-centric audience. Deep technical knowledge: Experience with complex data lake and data warehouse technologies, cloud platforms (AWS, Azure, GCP), data pipelines (ETL/ELT), and replication techniques. Scripting, automation, and AI proficiency: Skilled at leveraging scripting, automation, and AI tools to streamline documentation workflows and enhance technical content delivery. Exceptional communication skills : Proven ability to craft clear, concise, and accurate documentation; strong technical editing abilities; impeccable grammar; and consistent application of style guides. Documentation leadership: Expertise in content planning, creation, and review processes, with a track record of implementing best practices that elevate documentation quality. Project management and organizational skills: Experience leading documentation projects, mentoring writers, managing competing priorities, and adapting to change while delivering high-quality results. Collaboration and customer focus: Strong history of working with engineers, writers, and globally distributed teams, translating customer needs into improved documentation that drives customer success. Bonus Skills​ Experience working at technology companies with globally distributed technical writing teams documenting enterprise-grade products or services. Understanding of the nuances of complex documentation lifecycles and experience working in an Agile environment. Experience working in a docs-as-code environment, GitHub, Markdown, CLI, and HTML. Understanding of cloud object storage, metadata catalogs such as AWS Glue and Unity Catalog, and open table formats such as Apache Iceberg and Delta Lake. Experience documenting configuration and deployment workflows for containerization and orchestration platforms such as Docker, Podman, and Kubernetes. # LI-HYBRID #LI-DB1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Worldwide; Warsaw, Poland; Belgrade, Serbia; Tbilisi, Georgia; Yerevan, Armenia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. SDG invests in social discovery and IT startups around the world directly or via VC funds. Among our investments were Patreon, Open AI, Clubhouse, Coursera, Data.ai , Flo, Academia.edu , and many others. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Affiliate Manager . Your main tasks will be: Manage and scale the existing affiliate partner base across CPA, RevShare and Hybrid models: onboarding, creative selection, landing page setup, tracking (postback/S2S) setup and QA. Monitor daily/weekly KPIs per partner (traffic quality, conversion, CPA/ROI) and optimize underperforming placements together with partners. Maintain the tracking and reporting infrastructure; investigate and resolve discrepancies between partner and internal statistics. Keep the partner database current: contacts, terms, geos, status, and next steps. Support the Business Developer in launching and scaling new custom partnerships once commercial terms are agreed (technical setup, monitoring, initial optimization). Monitor competitor affiliate programs and flag relevant findings to the team. We expect from you: At least 2 years of experience in full-cycle affiliate account management: onboarding, creative/landing page setup, tracking setup, scaling. Understanding of CPA, CPL, CPS, RevShare and Hybrid models, channel economics, traffic quality and fraud risks. Technical literacy in tracking, pixels, postback/S2S, attribution, and basic API usage. Partner pipeline/CRM management and database hygiene. Analytical reporting: building and reading performance dashboards, spotting anomalies. Understanding of advertising platform compliance basics Claude / ChatGPT confident use Business English for written communication and partner calls" Sounds good? Join us now! The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Brand & Experience team builds the emotional connection between Deliveroo and our customers, riders, and partners. With a deep understanding of our audience and a passion for creativity, we bring our brand to life across every touchpoint. Whether it’s a push notification, social campaign, or packaging design—we craft compelling experiences that shape perceptions, spark engagement, and make Deliveroo a loved, global brand. We’re looking for a Senior Creative Project Manager to join our London team. This is a hybrid role working 3 days a week from our London HQ. In this role, you’ll help us lead the end-to-end delivery of creative projects across diverse briefs—from fast-turnaround sprints to global, multi-channel campaigns—while driving studio operations and process improvements. This is a 12 month fixed term contract. What You’ll Be Doing You’ll be joining the Creative Studio team. Reporting into the PMO Lead, you'll work alongside Creative, Campaign, Design, and Creative Operations functions to power our in-house marketing and creative output. Here’s what your day-to-day might look like: Campaign & Project Delivery Lead the end-to-end delivery of creative briefs—ranging from high-volume growth marketing and CRM sprints to complex, multi-market campaigns including AV and TVC. Develop accurate project plans, timelines, and milestones while managing budgets and resources to ensure seamless delivery across creative and marketing teams. Stakeholder Leadership & Traffic Management Act as the primary contact for projects, building strong relationships across internal teams and partner agencies while keeping everyone aligned on goals and milestones. Manage traffic and intake: evaluate briefs, flag out-of-scope requests, manage sprint scheduling, and allocate resources based on team capacity. Operations & Process Improvement Own key PMO operations by refining Asana templates, documentation, and intake workflows to make studio operations more efficient, consistent, and scalable. Support studio-wide operational initiatives, including resourcing models, tooling, reporting, and adopting AI-enabled creative production workflows in partnership with our Creative AI Technologist. Risk Mitigation & Team Mentorship Identify project risks early and implement effective solution strategies to keep work moving smoothly without compromising quality. Motivate and guide creative project teams, sharing best practices across the PMO and supporting less experienced project managers and freelancers. What You’ll Need to Thrive Essential Significant experience managing end-to-end creative projects and integrated campaigns within an in-house studio or creative marketing agency. Proven ability in resource management, capacity planning, and traffic management for high-volume, fast-turnaround performance and growth marketing assets (paid social, CRM, in-app). Deep understanding of creative operations, including intake flows, studio tooling (e.g., Asana), project documentation, and process optimization across local and global markets. Exceptional stakeholder management and communication skills, with the confidence to challenge, motivate, and align cross-functional teams and external partners. Demonstrated ability to manage project budgets, mitigate risks proactively, and deliver high-quality work to tight deadlines. Nice to Have Hands-on experience integrating AI tools and adoption strategies into creative production and studio workflows. Experience managing and onboarding external agencies or freelance resources. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

• От 3 лет опыта в ML Engineering, Data Engineering или DevOps с развёртыванием и поддержкой ML-систем в продакшене. • Опыт построения ML training pipelines с experiment tracking и model registry (MLflow, W&B или аналоги).

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Software Engineers, Subscriptions - Backend Deliveroo is now part of DoorDash, one of the largest online food ordering and delivery platforms in the world. As part of this role, you'll join one of our Subscriptions teams in London, focused on the core proposition and working across our three subscription programmes - DashPass, Deliveroo Plus, and Wolt+. You'll work closely with engineering teams across the US and Europe, as part of the Global Subscription organisation, to build and evolve the shared subscriptions capabilities that power loyalty and membership experiences for millions of customers worldwide. We're hiring backend engineers who want to be at the front line of what engineering looks like in the age of AI. 💡 Why Subscriptions? An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship. Real ownership, real impact. Our subscription programmes are touching millions of users daily. You'll own features end-to-end - from the idea through production - and see your work matter at scale. Cross-org engineering at the frontier. Deliveroo,  DoorDash and Wolt are working together in order to align subscription experiences across three of the world's leading delivery platforms. This is engineering at the intersection of product ambition and international complexity. A small team that punches above its weight. We're a cross-functional team: Backend, Mobile, Web, Product, Design, and Data - all in the same room. No handoff theatre. You'll move fast, ship iteratively, and be around people who take craft seriously. 🤖 AI-First Engineering - What This Means Here We're building teams at the forefront of agentic coding. This isn't about using Copilot to autocomplete boilerplate. We mean engineers who: Design workflows where AI agents handle entire task loops, from spec to PR. Think in terms of orchestration: what does a human review, what does the agent own? Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team. Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype. If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in. 🔍 What We're Looking For Across all roles Strong engineering fundamentals - you've built and shipped software that runs at scale, and you understand what that entails: testing, observability, reliability, and maintainability. Genuine enthusiasm for AI-first development. You use AI tools daily and have formed real opinions about how to get the most out of them. Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do. Collaborative instincts - the Subscriptions domain sits at the intersection of consumer mobile, web, backend, and data. Cross-functional work is the norm, not the exception. 🙌 About You You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends. What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work. You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through. 🌍 Where You'll Work These roles are based in our tech hub in London. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Whiteley Hampshire, United Kingdom Role: Financial Advisor Location: Whiteley, Hampshire (Office attendance every Tuesday) Salary: £45,000 basic salary + adviser bonuses, incentives and validation rewards Working Pattern: Primarily remote/telephone-based, with weekly office collaboration Company: Appointed Representative Firm of Quilter Financial Planning Start Your Financial Advice Career with an Established Adviser Team A growing and successful Quilter Financial Planning firm is looking to recruit an ambitious Financial Adviser at the beginning of their advisory career. This is an excellent opportunity for a motivated individual who is keen to develop their skills within a supportive environment, working alongside experienced advisers and benefiting from comprehensive training and mentorship. The business has a proven client acquisition model, dedicated support staff, and a steady flow of leads, allowing you to focus on building relationships and delivering great client outcomes. The Role You will play a key role in supporting the firm's continued growth by: Taking over and managing clients passed across by senior advisers. Building relationships with existing ad hoc clients and identifying opportunities to transition them to ongoing service arrangements. Following up and converting qualified leads generated through established referral partnerships. Working closely with a network of mortgage and protection advisers who regularly introduce prospective clients. Developing business from a strong wills and estate planning referral source. Conducting client meetings primarily over the phone, with occasional use of Microsoft Teams. What You'll Receive £45,000 basic salary. Additional adviser bonuses and incentive opportunities. Validation point rewards. Ongoing training and development from an experienced adviser team. Full paraplanning and administrative support provided. Access to high-quality referred leads and existing client opportunities. A clear pathway to develop and grow your advisory career. About You We're looking for someone who: Level 4 Qualified Is passionate about building a career in financial advice. Has excellent communication and relationship-building skills. Enjoys engaging with clients and helping them achieve their financial goals. Is proactive, motivated and keen to develop professionally. Wants to be part of a supportive and collaborative team environment. Why Join? Unlike many adviser positions, this opportunity allows you to focus on advice and client relationships rather than administration. With dedicated paraplanning support, established lead sources, and hands-on training from the firm's leadership team, you'll be well positioned to accelerate your development and build a successful long-term career. About OneDome OneDome is a UK-based housing and fintech technology platform building an AI-powered platform to simplify life’s biggest financial decisions — from buying a first home to building and pro-tecting long-term wealth. The platform brings together property discovery, mortgage origination, legal and transaction ser-vices, insurance, and financial planning into a single, end-to-end digital experience. OneDome’s flagship HomeBuyer Service reimagines home ownership as a retail-style product, bundling every-thing required to purchase a home into one transparent, fixed-price offering. Beyond home pur-chases, the platform supports customers across the full lifecycle of home ownership and personal finance. OneDome operates at scale, working with a nationwide network of over 500 mortgage brokers and arranging approximately $1.4 billion in mortgage volume per month , positioning the company among the largest housing and mortgage platforms in the UK. The company is profitable and has been recognised for rapid, capital-efficient growth, including being ranked the 4th fastest-growing fintech and 17th fastest-growing technology company by the Deloitte Fast 50 in 2025, and the 6th fastest-growing tech company by the Sunday Times Tech 100 in 2026. Backed by Channel 4 Ventures and family offices across the UK, Saudi Arabia, the United States, and Australia, OneDome is building the next generation housing and fintech super-platform , re-placing fragmented, manual processes with a modern, data-driven, AI-enabled consumer experience. Salary: £40,000 – £45,000 / year

Location: Limassol, Cyprus; Warsaw, Mazowieckie, Poland Workplace: hybrid This role leads the IT Asset Management function at Capital.com, delivering it against the strategy and priorities set by the VP of IT Operations. You turn a fragmented setup into a function that actively delivers trusted data and services to the rest of the business, so teams can decide and act on reliable information rather than chase records. You own the IT asset register (Software and SaaS, on-premise solutions, the development stack and hardware, etc.) together with the automation and data services built on top of it, and you are the trusted source of data on assets and spend. You lead a small multidisciplinary team and partner closely with Vendor Management, Security, Finance and IT Operations. What You Will Do: Lead the IT Asset Management function and deliver it against the strategy and priorities set by the VP of IT Operations. Deliver data and services to other functions as the outcome: capture their needs, then build and run the services that meet them, rather than collecting data for its own sake. Own the IT asset register across Software and SaaS, on-premise solutions, the development stack and hardware, keeping it complete, accurate and trusted. Operate one trusted source of data on assets and spend, and build the Asset Management automation on top of it. Keep controls on asset data lightweight and non-duplicated, so trusted data drives real decisions across teams. Lead asset-driven budgeting and regular reporting, and provide data services to the Finance department. Partner with Vendor Management to optimise procurement and with Security to detect and reduce Shadow IT. Direct integration with Atlassian services (Jira, Confluence, Jira Assets and JSM) and the asset data platform (data warehouse plus BI layer). Lead integration of purchased solutions to standard, support through change, and clean offboarding (data archival and migration, access removal, service-account disposal, documentation). Line-manage and develop the team, setting direction, priorities and quality bars. Who You Will Work With: Vendor Management and Procurement: on spend and procurement optimisation, and on the vendor and contract data that feeds the register. Security and IAM: on Shadow IT detection, access and SSO data. The Finance department: budgeting, reporting and spend visibility, delivered as a service. IT Operations and SysAdmins, and Data / Analytics or central Data Engineering: on data sources and delivery of the asset data platform. Service and Business Owners across the company: to capture needs and deliver the data and services they rely on. What You Bring: Proven experience building process systems and keeping them lightweight in a regulated environment; you hold the balance between simplification and control. A track record of delivering against an agreed strategy and roadmap while bringing your own judgment to reach the outcome, not just following a brief. Deep experience working with large data sets, with a clear grasp of why each item is collected and what decision it serves. A record of delivering data services that other departments actually use, not just producing reports. Strong understanding of a service model: a function that builds services for others while running its own operations. Experience building and then operating data warehouses for applied use. Experience in hybrid infrastructure (on-premise plus cloud). Excellent stakeholder skills: you can negotiate with business people and with engineers and stay credible to both. Nice to Have: SQL (PostgreSQL and/or BigQuery); you need not build pipelines yourself but should specify, direct and sanity-check them. Python and API integration familiarity. Experience managing an IT Asset Management (ITAM / SAM) function in a large company. Familiarity with BI tools (Looker, Metabase, Tableau or Grafana) and IAM tooling (Okta). Fintech, brokerage or banking experience. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you —because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance. Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Spanish (Mexico) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Spanish (Spain) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC,  Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in English (UK) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job Reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: London Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE Build AI workflows that Commercial teams actually use and prove the impact. We are looking for a Commercial AI Solutions Specialist to turn high-value Commercial problems into practical, adopted AI workflows. You will own use cases end to end: discovering problems, assessing and prioritising opportunities, rapidly prototyping solutions, supporting deployment, driving adoption, and measuring business impact. This is a hands-on role for someone who combines curiosity, structured problem-solving, and strong delivery ownership. You do not need deep expertise in every AI tool or in payments. We do expect evidence that you have learned a new domain quickly, independently built and shipped at least one useful workflow, and translated an ambiguous business problem into a measurable outcome. WHAT EARLY SUCCESS LOOKS LIKE During the first 90 days, you will build a strong understanding of Commercial priorities and workflows, develop a credible pipeline of use cases, and deliver practical quick wins. You will also establish the foundations for measuring adoption, productivity, and commercial impact as the portfolio develops. By day 90: two workflows live with real Commercial users, each with a named business owner, a measured before/after delta against a pre-build baseline, and sustained weekly active use. WHAT YOU WILL DO - Partner with Commercial teams and Revenue Operations to identify workflow pain points and high-value automation and AI augmentation opportunities. - Investigate problems, map current processes, establish an evidence-based baseline, and define clear use-case outcomes. - Build, test, and rapidly iterate on prototypes using AI-assisted coding tools, automation, and low-code or no-code platforms. - Take approved use cases from discovery through deployment, adoption, and impact measurement. - Design pragmatic human-in-the-loop workflows, controls, and feedback mechanisms. - Coordinate with relevant technical, data, security, and risk partners when a solution requires platform support or formal approval. - Support the enablement of end users through clear documentation, demonstrations, training, and ongoing iteration. - Maintain visibility of progress, dependencies, risks, adoption, and realised impact. WHAT WE ARE LOOKING FOR - Evidence of having built and shipped at least one useful workflow, automation, AI-powered tool, or prototype that real users used in practice. - Evidence of rapidly learning a new domain or capability and independently delivering a measurable business outcome. - Experience owning work from an ambiguous problem through to an implemented solution. - Strong analytical and data literacy, including the ability to interpret data, establish baselines, and evaluate outcomes. - Hands-on experience building useful workflows, automations, or prototypes using low-code or no-code platforms, automation tools, or AI-assisted coding tools. - Structured problem-solving skills and the judgement to distinguish valuable use cases from attractive distractions. - Strong stakeholder management and communication skills, with the ability to influence without formal authority. - A bias toward action, experimentation, and iteration, balanced with appropriate attention to risk and governance. - The ability to work independently while escalating material decisions and dependencies appropriately. DESIRABLE EXPERIENCE You are not expected to have every item below. These are examples of experience that may help you succeed in the role; we will assess evidence of learning agility, delivery, and judgement over checklist matching. - Experience in a Commercial, go-to-market, Revenue Operations, payments, fintech, or other regulated-industry environment. - Familiarity with generative AI, agentic workflows, APIs, workflow automation, data visualisation, or prompt and evaluation techniques. - Experience explaining a new workflow, gathering user feedback, and supporting adoption across stakeholders. - Hands-on experience building AI-powered tools, agents, or automations that other people used in their real work. - Familiarity with agentic development tools, APIs, and SQL; named tools such as Claude Code, Cursor, and Codex are examples rather than requirements. - You can read code, understand logic, and steer and debug an agentic coding tool. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

The Senior Director, Global Customer Support is a key executive leader responsible for defining and executing Prove’s worldwide support vision, strategy, and operational framework. Global Team Architecture: Build, scale, and lead a high-performing global support organization consisting of US-based engineers and offshore multi-tier support teams.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🐼 WHO WE ARE You. Better. With Alan. Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment. We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system. By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives. We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR. Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH You would join the product team that builds the AI agents answering our 1M+ members' questions about their health insurance - reimbursements, coverage, claims, account changes and more - instantly and without waiting for a human. Our AI agents already fully resolve more than 50% of members' questions. Your mission is to push that number further, increase the quality of answers and the trust members place in them, and make our agents work with the other AI agents at Alan, such as Mo our health companion. Concretely, you will: - Design and ship LLM-powered agents that understand a member's request, reason over their contract, claims and history, and take real actions on their behalf - building the tools, retrieval and context pipelines that give them the right information at the right moment - Make our agents interoperate with other AI agents across Alan, such as Mo: handing off conversations, sharing context and calling each other's capabilities, so members get one seamless experience - Bring automated resolution to new channels, starting with AI phone support: real-time voice conversations with the same quality bar as written ones - Own evaluation: build datasets, automated evals and quality monitoring so we know an agent is right before members see it - Measure and improve resolution rate, answer quality and member satisfaction in production, iterating fast on prompts, models and architecture - Work hand in hand with care experts and product to identify the next topics the AI can fully resolve ⚡ WHY THIS ROLE IS SPECIAL - Direct Impact: Every point of automated resolution means members get help instantly, when they need it the most - and directly drives Alan's scaling, growth and profitability. - Applied AI at scale: You won't build demos. You'll ship AI agents that handle hundreds of thousands of real conversations per month in a regulated, high-stakes domain, where accuracy truly matters. - Frontier problems: Agentic workflows, tool use, evaluation, safety and guardrails, cost and latency trade-offs - you'll tackle the hardest open questions in production LLM systems. - Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access. 🔍 WHAT WE'RE LOOKING FOR Technical Requirements: - 5+ years building scalable software systems - Strong backend experience (Python is a plus) - Hands-on experience building products with LLMs (agents, tool calling, RAG, prompt engineering, evaluation) - ideally shipped to production - An evaluation mindset: you know how to measure whether an AI system is actually good, and how to make it better What we value: - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" - You stay on top of a fast-moving AI landscape and are pragmatic about what really works - Humble and still willing to grow (no matter your seniority) Mission Alignment: - Healthcare technology excites you - You understand that insurance isn't just about money - it's about access to care But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 ! 🌍 HOW WE WORK Location: You must be legally eligible to work in France, Belgium or Spain. Remote work: We offer remote work flexibility, but we value in-person collaboration. Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life! 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Location: Москва Наша команда в тесном взаимодействии с другими производственными командами обеспечивает информационную безопасность компании Сбербанк Технологии. Обязанности ### Чем предстоит заниматься: * формирование и развитие целевой архитектуры ИБ, сопровождение ИТ-инициатив с учетом требований безопасности * формирование требований безопасности к разрабатываемым системам: участие в проектировании, анализ угроз, моделирование угроз, внедрение практик Secure SDLC * анализ архитектурных изменений и оценка рисков новых решений в части ИБ * участие в пересмотре и обновлении архитектурной и методологической документации * внедрение новых практик информационной безопасности: оценка применимости, адаптирование под существующие процессы. * проработка, пилотирование и внедрение средств защиты информации (СЗИ): оценка новых решений, проведение тестирований, подготовка рекомендаций по внедрению. * развитие и оптимизация практик контейнерной безопасности: определение политик безопасности Kubernetes, контроль выполнения требований контейнерной безопасности * разработка и контроль стандартов безопасной конфигурации инфраструктуры (hardening, baseline) * проведение технических аудитов, выявление и устранение уязвимостей и ошибок конфигурации * консультирование команд и участие в планировании ИТ-инициатив с точки зрения безопасности. Требования ### Мы ожидаем: * опыт работы в ИБ от 3 лет, включая функции архитектора безопасности * понимание архитектуры систем и способность как проектировать решения, так и реализовывать их руками * понимание практик AppSec: secure coding, threat modeling, OWASP Top 10. * опыт внедрения и эксплуатации средств защиты информации * знание стандартов и best practices: OWASP, NIST, CIS, ГОСТ и др. * навыки анализа рисков, проектирования архитектурных решений и подготовки документации * умение планировать работу, расставлять приоритеты и эффективно взаимодействовать с командами * инструментальное владение AI для анализа, генерации и автоматизации. **Будет плюсом:** * опыт пилотирования и выбора новых ИБ-инструментов * опыт работы в DevOps, DevSecOps. Опыт взаимодействия с командами разработки и DevOps * опыт работы с контейнерными платформами (Docker, Kubernetes) и инструментами их защиты (например, runtime security, image scanning, policy engines) * понимание практик настройки безопасности Kubernetes (RBAC, PSP/OPA/Gatekeeper, Network Policies). Условия ### **Мы предлагаем:** * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа * статус аккредитованной ИТ-компании со всеми преимуществами * льготная ипотека для сотрудников, подписка Прайм с возможностью шеринга (совместного использования) на трёх близких, скидки от партнеров и сервисов группы компаний * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис с видом на набережную, зонами отдыха и спортзалом * 90 дней удаленной работы из любого региона РФ * реферальная программа (бонус до 100 000 рублей).

Location: Philippines Workplace: Hybrid About the job Salmon – Who We Are and What We Do Salmon is a fast-growing consumer FinTech group, founded in July 2022 with the vision of creating the best credit-led, technology-centric bank in Southeast Asia. We chose the Philippines to be our first market and are now a licensed bank and consumer-lending group. Salmon was founded by three Co-founders who built and held senior leadership positions at Tinkoff, a highly successful tech-enabled bank that reached a market capitalization of more than US$20bn. Salmon has built a highly qualified and global team of finance and technology professionals and is backed by world-class investors, which include International Finance Corporation (a member of the World Bank Group), Lunate (an investment management vehicle affiliated to the sovereign wealth fund of Abu Dhabi), and other prominent Fintech investors. We are building a financial technology business that works impeccably 24x365, creating thousands of jobs and providing high quality access to finance for millions of Filipinos — and would love to have you join us on this journey. The new world is ours to discover together. Responsibilities - Create strategies and partnership models to develop profitable commercial relationships with retailers - through distribution channels, networks and individual retailers - Build a portfolio of retailers across a variety of categories to develop long-term and strategic business relationships. - Negotiate commercial terms, contracts and agreements that create sustainable, long-term value for the Company, retailers and consumers. - Be accountable for retailer activity and engagement throughout the retailer's onboarding journey. - Establish a proactive account management strategy to drive growth and retention by analyzing product performance, identifying cross-sell/up-sell opportunities and implementing best practices, marketing programs and other solutions to meet retailer needs and Company's strategic objectives. - Provide sales data, dashboards and reports to retailers to show the value add to their business. - Hire, train, manage and mentor a team of sales/distribution staff. - Serve as a catalyst for change and continuous improvement of product enhancements, new solutions and go-to market strategies based on transaction data analysis, first-hand experience, competitor understanding and other insights. - Work closely with the Key Accounts Management team/function, which is separate from the Point-of-Sale Networks team/function. - Collaborate cross-functionality with marketing, compliance, risk, data / analysis, product and technology, finance, legal and operations and other teams as appropriate to achieve desired business results. Requirements - A minimum of five (5) years of experience in sales leadership roles, preferably within a B2C environment - At least one (1) to two (2) years of managerial experience - Experience in fintech, POS/BNPL, or retail industries is an advantage - Demonstrated ability to work effectively in a fast-paced, multitasking environment - Proficiency in English at B2 level or higher - Must be based in Benguet, Cagayan, Ilocos Region, La Union, Pangasinan, Nueva Vizcaya, Tarlac, Batangas, Makati-Taguig, Quezon City, Rizal, Parañaque, Valenzuela, Pampanga, Ilocos Sur, Bohol, and Cebu.

Location: Mandaluyong Workplace: Hybrid About Salmon Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd., is a technology-driven challenger bank in the Philippines operating under a BSP license. We combine the trust of a licensed institution with the speed and convenience of a modern financial product. Work within regulated financial infrastructure, where product, risk, compliance, operations, technology, and customer experience are closely connected. About the Role Salmon is hiring a Core Posting Officer to join the Core Posting Team within Banking Operations. You will carry out posting operations, service requests, controls and case activities, making sure every transaction is properly approved, accurately recorded and fully evidenced. You will work with product, technology, risk, compliance, finance and customer-facing teams to keep the Bank’s operations reliable. What You’ll Do Posting operations - Execute operational processes, service requests, controls and case activities for the Core Posting Team. - Review inputs, validate information, and resolve standard exceptions. - Follow up with relevant stakeholders to close open items. - Ensure all posting requests have appropriate approvals under the Delegated Authority (DA). Documentation and evidence - Maintain process documentation, case notes, trackers and evidence for transparent operations. - Help document processes for the Core Posting Team and related processes. End-to-end process ownership - Ensure end-to-end processes work smoothly, including links to other Banking Operations teams and Bank stakeholders. - Comply with the Core Posting Team’s KPIs and KRIs. Team operations - Assist in capacity planning, and in productivity and performance monitoring and evaluation of team members. - Ensure the relief arrangement is kept up to date and implemented. Cross-team collaboration - Work closely with the Core Posting Team, Banking Operations colleagues and Salmon stakeholders in support of the Bank’s business model and strategic direction. - Partner with product, technology, risk, compliance, finance and customer-facing teams to keep operations reliable. What We’re Looking For - Bachelor’s degree in Business Administration, Finance, Accountancy or a related field - 2-3 years of experience in banking operations, transaction processing, posting or a related control function (experience in a BSP-supervised institution, especially digital banking, is an advantage) - Working knowledge of core banking systems, posting and reconciliation processes, or the ability to be trained in them - Strong attention to detail and a control mindset, including awareness of approval and delegated authority requirements - Strong documentation and written communication skills - Strong coordination and follow-through skills - Ability to meet the Bank’s fit and proper standards, including pre-employment screening