Вакансии

Location: Austria Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. Finom is looking for a Principal Product Designer to set the design direction for Core Experience — the foundational product surface used across our platform by every customer. This is a senior individual-contributor role: no direct reports, but real scope to define what "good" looks like and prove it in shipped product. You'll work alongside Product Managers, Engineers, Analysts, and Research to turn complex financial workflows into experiences that are simple, accessible, and consistent at scale. What You’ll Do Own design across the full product lifecycle , from discovery and problem framing to final implementation, QA, and polish. Turn complex fintech and SMB workflows into clear, user-centered experiences , using research, product data, and customer feedback to guide decisions. Collaborate closely with Product Managers, Engineers, Analysts, and fellow Designers to scope work, define outcomes, and ship high-quality solutions. Create essential design artifacts including flows, wireframes, prototypes, high-fidelity mockups, and clear product specs. Contribute to our design system and product quality bar , improving consistency, accessibility, scalability, and craft across the interface. Support high-priority initiatives such as modular pricing, onboarding UX transformation, and AI Copilot features. Who You Are 5+ years in product design, including experience setting direction beyond your own individual work. A portfolio that shows both strong craft and clear, defensible reasoning — not just polished screens. Hands-on experience designing native mobile app products (iOS/Android) Proven ability to design complex, multi-state platforms (permissions, edge cases, cross-team dependencies). Comfortable challenging and being challenged by Product, Engineering, and Research using data and business context. Fluent professional English . Nice to Have Fintech background (industry experience overall isn't required — fintech specifically is a plus). German fluency, or experience designing for German-speaking users. AI tools as a working habit (e.g. rapid prototyping, research synthesis) — not a buzzword. Hiring Process Step 1: Async Portfolio Review — We review your portfolio link and one written response to assess craft and design quality before scheduling any calls. Step 2: Hiring Manager Call — A video chat with VP of Design focusing on your ownership, drive, and collaborative style. Step 3: Take-Home Assignment — A practical Finom product case study (3–5 days turnaround) evaluated for strategic thinking, user insights, and design execution. Step 4: Live Presentation & Cross-Functional Interview — A full walkthrough and Q&A with design and product leads. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: United States Remote Workplace: Remote ABOUT THE TEAM  The Scaled/Digital Customer Success team helps customers realize value from Mural through education, digital programs, and learning experiences at scale. This team plays a critical role in making high-quality customer education more personalized, accessible, and scalable. This role sits within our Scaled and Digital Customer Success team and reports to the Director of Customer Success. YOUR MISSION  As a Customer Enablement Manager, your mission is to bring our customer enablement strategy to life through high-quality content, personalized learning experiences, and scalable programs. You will translate customer needs and product capabilities into clear, outcome-based learning journeys that help teams work better together and achieve real-world success with our platform. You will build and scale modern customer education programs that help customers adopt priority use cases, reduce time-to-value, and increase product confidence. WHAT YOU'LL DO -  Execute scalable education initiatives including self-guided, live, cohort-based, and peer-led learning experiences. - Design outcome-based learning journeys and adaptive paths tailored to priority roles, use cases, and adoption milestones. - Develop and maintain high-quality reusable content such as courses, guides, videos, templates, and interactive simulations. - Partner cross-functionally with Product, Marketing, and CS to align education with launches and identify education gaps. - Deliver internal enablement to CS Teams globally to ensure consistency in Customer Journey, Strategy Execution, and customer outcomes. - Track and measure learning engagement, proficiency, and product adoption to continuously improve program effectiveness. WHAT YOU'LL BRING - 3+ years of experience in customer education, instructional design, or scaled Customer Success, ideally in B2B SaaS. - Proven ability to design modern learning experiences using microlearning, scenarios, and social learning principles. - Strong content creation skills with the ability to simplify complex product workflows into actionable learning assets. - Data-informed mindset with comfort using product and learning metrics to drive program improvements. - Excellent cross-functional collaboration and program management skills in a fast-paced environment. - Familiarity with collaboration or visual work platforms (e.g., Mural) and design thinking principles. - Experience with LMS, digital adoption platforms, and AI-enabled learning tools. - Experience designing customer academies, community-led learning, or cohort-based programs.  EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: United States; Canada Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Analyst, GTM Revenue to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you'll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage.   This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You'll help leaders understand what's working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance.   Mission Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes.   The Role - Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations. - Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions. - Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation. - Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence. - Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems. - Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations. - Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs. - Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences.   Qualifications - 5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams. - Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting. - Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions. - Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment. - Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes. - Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders. - Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability.   Desirable - Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation. - Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms. - Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor. - Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote Workplace: Remote HyperHug is an international game development studio specializing in the shooter genre. Our main office is based in Cyprus, but our talented team works remotely from around the world. We’re developing Oxide: Survival Island, an immersive multiplayer survival shooter for mobile platforms, and we’re always looking for motivated individuals who want to grow with us, contribute their creativity, and help shape the future of our games. We’re looking for a skilled Middle+/Senior Technical UI Designer to bring polished, intuitive game interfaces to life. You’ll turn design concepts and mockups into responsive, production-ready UI, creating scalable systems that look great, perform smoothly on mobile devices, and are easy for the development team to integrate and maintain. WHAT YOU’LL BE DOING: - Implement core and meta-game interfaces in Unity. - Build responsive screens that adapt correctly to different resolutions and aspect ratios. - Create and maintain a scalable UI architecture, including window structures, reusable components, UI kits, and prefabs. - Create UI animations using DOTween, Timeline, and custom animation solutions. - Set up and optimize UI effects using Unity’s Particle System. - Optimize UI performance for mobile devices, including draw calls, batching, and Canvas setup. - Work with text styles, materials, and localization. - Optimize textures, atlases, and import settings. - Create UI materials using Shader Graph and custom material setups. - Refactor, simplify, and systematize legacy UI. - Create and maintain UI documentation. - Write simple C# scripts when needed. WHAT WE EXPECT FROM YOU: - 3+ years of experience in a similar role. - Strong experience using AI tools to improve day-to-day workflows, create and integrate reusable UI components and event systems. - Strong hands-on expertise with Unity UI. - Solid understanding of UI performance optimization, especially for mobile devices. - Ability to work independently and propose practical solutions. - Strong attention to detail and a structured, systematic approach to work. - English - B1+ level, Russian - C1 level. WHAT WE OFFER: - Competitive salary. - Remote work format. - A passionate and supportive team that values creativity and ownership. - Opportunities for professional growth. - A culture built on initiative, transparency, and collaboration.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for product designers who are excited to shape how teams build together. At Figma, design isn't just how something looks—it's how it works, how it feels, and how it scales. Our designers are systems thinkers, prototypers, storytellers, and craftspeople who care deeply about quality and collaboration. In this role, you'll turn ambiguity into clarity, push the product forward with engineers, PMs, and researchers, and help us invent new ways for people to design and build products together. With an eye for simplicity and craft, curiosity for complex systems, and an appetite for technical challenges, you can help define the future of how software is made. This is a unique opportunity for a designer who loves both craft and technical depth. You'll prototype, build, and ship alongside engineers while helping define foundational experiences that support millions of creators across Figma. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design and ship end-to-end experiences that help organize, manage, and deliver content across Figma's products, as part of the Content Management Systems team Partner closely with engineering to shape platform capabilities and technical infrastructure that support CMS and open-source initiatives Translate technically complex systems into intuitive, elegant user experiences Prototype early and often to explore ideas, validate concepts, and communicate nuanced interaction and technical decisions Contribute to product strategy and long-term vision by bringing together customer insights, product thinking, and technical understanding Collaborate closely with product managers, engineers, researchers, and designers throughout the product development process Help raise the quality bar across the organization through thoughtful feedback, design critiques, and mentorship We'd love to hear from you if you have: 4+ years of experience designing UX and UI for a software product of similar scale and complexity Exceptional product design craft with strong visual and interaction skills, especially in complex software where systems thinking matters as much as any individual screen — with a proven ability to simplify technically complex systems into intuitive, thoughtful user experiences Code is part of your design process, not something you wait to hand off. You build working prototypes to explore interaction ideas, understand technical possibilities, and communicate a direction Demonstrated ability to move fast, forming a point of view, testing it, and adjusting course without waiting for complete information Ability to define a clear product and design vision in ambiguous spaces, using customer insights, qualitative research, and product data to guide decisions Track record of independently driving design from discovery through launch, balancing user needs, technical constraints, and business goals Naturally curious about how software is built, with strong cross-functional partnerships across design, engineering, product management, and research — raising the quality of work through thoughtful collaboration, feedback, and a deep care for the workflows of designers, developers, and other creative makers While it’s not required, it’s an added plus if you also have: Experience building and shipping software through coding, AI-assisted development, or other technical approaches Background designing content management systems, asset management platforms, or foundational platform products Familiarity designing developer tools, APIs, SDKs, or other highly technical product experiences Contributions to or designing for open-source software At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $303,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact We are looking for a Principal Engineer to join the teams behind the Xero Accounting App (XAA), our flagship mobile experience that helps small business owners stay on top of their finances wherever they are. You will define the standard for engineering excellence at Xero, strengthening technical capabilities and evolving the architectural direction to support our global product roadmap. Core Tech Stack (Non-Negotiable): React Native, TypeScript, and cloud-native backend APIs form the foundation of this role. You will be architecting, building, and leading across all three domains as an integrated system. You will bridge the gap between product vision, strategy, and execution, shaping the React Native technical roadmap to ensure our architectural decisions align with strategic goals. We need a leader who can solve complex mobile engineering problems at scale, seeking clarity within complexity and demonstrating smart ways to simplify while breaking down silos and driving cross-functional collaboration between mobile and backend teams. The ideal candidate is someone who, - Drives architectural strategy across all mobile squads and domains. - Shapes the mobile technical roadmap in close partnership with product, design. - Leads the most complex and ambiguous technical initiatives across the organisation. - Sets the engineering standard for the entire mobile organisation across code quality, reliability, operational maturity. - Acts as a force multiplier at the organisational level by coaching Lead and Senior Engineers. - Anticipates industry shifts, evaluates emerging technologies, and future-proofs the mobile platform. Initially, you will focus on - React Native Excellence: Establishing reference patterns, best practices, and architectural standards for high-performance React Native applications. Optimize for bundle size, performance, native module integration, and TypeScript-first development—raising the bar across the codebase. - Cross-Boundary Technical Leadership: Leading collaboration across mobile and backend teams, ensuring API contracts are designed with mobile consumption patterns in mind, and removing friction at the feature boundary. You'll advocate for the mobile perspective in system design while owning the React Native side fully. - TypeScript-First: Championing strict TypeScript practices across the React Native codebase, establishing type safety standards, and mentoring engineers on patterns that catch errors at compile time rather than at runtime. - Systemic Operational Excellence: Leading strategic prevention of issues by defining frameworks for SLOs, quality standards, crash analytics, and reliability metrics specific to mobile performance and UX. - Capability Elevation: Acting as a force multiplier by coaching lead engineers in React Native architecture, recruiting top React Native + TypeScript talent, and engaging with the broader React Native community. - API & Backend Exposure: Practical experience working across the feature boundary with backend services and BFF/API layers. You can reason about API contracts, mobile consumption patterns, and troubleshoot integration issues—but you're not expected to be a deep backend engineer owning infrastructure, databases, or full service architecture. - AI-Led Engineering for Mobile: Define and execute a vision for AI-assisted development that transforms how React Native code is written, tested, and optimized—delivering step-function improvements in mobile development velocity. Additional Strengths: - You bring extensive experience building and leading mobile applications in high-growth, large-scale environments—understanding the unique challenges of scaling React Native codebases, build pipelines, and release automation. - Your approach ensures React Native architecture and product strategy are inextricably linked, translating technical possibility into beautiful, performant customer experiences. - You focus on strategic prevention rather than reacting to incidents, using delivery and production metrics (crash rates, API latency, bundle size trends) to identify systemic improvements. - A natural ability to thrive in ambiguity allows you to act as a stabilising force, translating shifting business directions into high-level React Native technical roadmaps. WHY THIS MATTERS React Native powers ~70% of the Xero Accounting App. Success in this role means establishing the technical standard for how we build mobile at Xero—defining architecture patterns, TypeScript practices, performance benchmarks, and the processes that support high-velocity mobile development. You'll influence hiring, technical culture, and the mobile engineering roadmap for years to come. This is not a backend role; it's about owning mobile excellence end-to-end. Where and how you can work Our teams are located in Australia and this hybrid role is based in Melbourne or Sydney, offering the flexibility to balance deep-focus work with high-bandwidth collaboration in our beautiful offices. Please apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to our culture.

Location: Poland; South Africa; Portugal; Spain; Philippines; Argentina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time About the company Our client is an FDA-registered and ISO 17025 accredited independent contract microbiology laboratory providing critical testing services across a diverse range of sectors, including pharmaceutical, medical device, cosmetic, and food industries. As a recognized authority in microbial analysis, the team specializes in product efficacy, safety screening, and research-driven identification. They utilize advanced methodologies to help global brands verify marketing claims and ensure regulatory compliance through rigorous ASTM, AOAC, and USP standard testing. Job Summary We are seeking a technically-minded Marketing & Content Specialist to bridge the gap between complex science and high-performing B2B marketing. In this role, you will be the voice of a leading laboratory, translating sophisticated microbiological and regulatory concepts into clear, credible content that resonates with QA Managers, R&D professionals, and Regulatory Affairs specialists. You won't just be writing; you will be the engine behind our HubSpot ecosystem, driving lead generation through email marketing, sales enablement, and database reactivation. This is a role for a doer who thrives on technical curiosity and precision. Key Responsibilities Interview internal microbiologists and subject matter experts (SMEs) to extract technical insights for content creation. Write and produce high-quality technical white papers, blog posts, case studies, and sales collateral. Manage and execute the HubSpot Marketing Hub strategy, including workflows, landing pages, list segmentation, and automated email campaigns. Lead database reactivation efforts to re-engage past leads and dormant accounts. Collaborate with an external SEO and PPC agency to align content creation with technical search strategies and campaign goals. Ensure all marketing materials remain compliant with industry regulations and strictly adhere to supported scientific claims. Deliver sales enablement tools that help the commercial team better communicate the value of accredited laboratory services. Requirements 3+ years of B2B marketing experience within Life Sciences, Laboratory Services, Industrial, or highly regulated sectors. Proven technical writing ability with a portfolio that demonstrates an ability to simplify complex topics without losing scientific accuracy. High proficiency in HubSpot Marketing Hub (Workflows, Landing Pages, Lists, and Email Marketing). Experience interviewing technical experts and translating findings into professional marketing assets. Solid understanding of SEO fundamentals and the ability to work effectively alongside a specialized agency. Professional-level written and spoken English with extreme attention to detail. A "hands-on" execution mindset; you are comfortable building and launching campaigns yourself, not just managing strategy. Availability for at least 4 hours of daily overlap with US Central Time (CST). Nice-to-Haves A degree in Science, Life Sciences, or Microbiology. Experience in Pharmaceutical or Medical Device marketing. Proficiency in visual tools such as Canva or Figma. Basic short-form video editing skills. Experience with GA4 and Google Search Console. Past experience marketing accredited services (ISO, etc.). Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement

Location: Bournemouth, United Kingdom Headhunter 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 protecting long-term wealth. The platform brings together property discovery, mortgage origination, legal and transaction services, 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 everything required to purchase a home into one transparent, fixed-price offering. Beyond home purchases, 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, replacing fragmented, manual processes with a modern, data-driven, AI-enabled consumer experience. The Role You will be responsible for proactively sourcing and attracting high-calibre talent across technology, product, operations, sales, marketing and corporate functions. This is a hands-on role focused on direct search rather than traditional recruitment. You'll build talent pipelines, engage passive candidates and act as a trusted advisor to hiring managers, ensuring OneDome attracts the best people in a competitive market. Key Responsibilities Develop and execute proactive talent sourcing strategies across the UK. Identify and engage passive candidates using LinkedIn Recruiter, networking and market mapping. Build and maintain talent pipelines for current and future hiring needs. Partner with hiring managers to define role requirements and recruitment strategies. Manage candidates through the full recruitment lifecycle, from initial outreach to offer acceptance. Deliver an exceptional candidate experience throughout the hiring process. Build OneDome's employer brand through networking and talent engagement. Produce market intelligence, salary benchmarking and competitor hiring insights. Work with external recruitment partners where appropriate while maximising direct hiring. Track recruitment metrics including time-to-hire, quality of hire and sourcing effectiveness. Experience 5+ years' experience in executive search, headhunting or in-house talent acquisition. Proven success hiring senior and specialist talent within technology, fintech, proptech or high-growth businesses. Strong experience sourcing passive candidates. Excellent stakeholder management and influencing skills. Commercial mindset with the ability to understand business priorities. Experience managing multiple concurrent searches. Skills Executive search and market mapping. Boolean and advanced LinkedIn sourcing techniques. Candidate assessment and interviewing. Negotiation and offer management. Strong communication and relationship-building skills. Data-driven recruitment and reporting. Personal Attributes Highly proactive and resilient. Curious and commercially minded. Strong networking ability. Results-focused with excellent attention to detail. Passionate about identifying exceptional talent. Able to thrive in a fast-paced, scaling environment. Success Measures Reduced time-to-hire across key roles. Increased proportion of hires made through direct sourcing. High-quality candidate pipelines for critical positions. Excellent hiring manager and candidate satisfaction. Strong offer acceptance and employee retention rates. Why Join OneDome? This is an opportunity to shape the future of OneDome by hiring the people who will build and scale the business. You'll have a direct impact on our growth, culture and long-term success, working closely with senior leadership to attract outstanding talent across the organisation. Salary: £35,000+ / year

Location: Tokyo, Japan WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. WHAT YOU'LL ACHIEVE - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. SKILLS YOU'LL NEED TO BRING - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. - Written and spoken Japanese fluency to communicate directly with external customers, partners, and internal teams NICE TO HAVES - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment. - Business level English proficiency to communicate effectively with global stakeholders and peers. - Experience working with Japanese enterprise customers or familiarity with Japan market dynamics and business practices. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a VP of Research (Machine Learning) to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage. Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact. Key Responsibilities Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration. Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models. Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics. Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development. Drive research and experimentation across advanced machine learning techniques, including: Retrieval-Augmented Training (RAG) Mixture of Experts (MoE) Model Distillation Multi-Agent Orchestration Multimodal AI Systems Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications. Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization. Requirements Extensive experience designing, building, and deploying machine learning systems in production environments. Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance. Proven ability to translate advanced research into reliable, production-ready AI solutions. Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments. Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability. Strong ownership mindset with the ability to lead technical strategy and execution. Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Technical Lead, Machine Learning to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance. Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost. Key Responsibilities Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment. Fine-tune and optimize models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation . Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies. Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products. Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization. Requirements Proven experience building and deploying production-grade machine learning systems used by real users. Strong expertise working with large language models and understanding model behavior, limitations, and failure modes. Experience developing scalable ML infrastructure, training pipelines, and inference systems. Strong software engineering skills with the ability to write maintainable, production-quality code. Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety. Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment. Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Senior Machine Learning Engineer to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments. Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment. Key Responsibilities Build and develop core machine learning systems that power AI-driven product capabilities. Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration. Translate research concepts into reliable, production-ready machine learning solutions. Investigate and resolve model performance issues and production system failures using real-world operational insights. Continuously improve machine learning systems through rapid experimentation, measurement, and iteration. Collaborate closely with research, product, and engineering teams to deliver impactful AI features. Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers. Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety. Requirements Proven experience building and deploying production machine learning systems used by real users. Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments. Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems. Experience designing and implementing scalable machine learning pipelines and infrastructure. Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment. Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams. Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Principal Machine Learning Engineer to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure. Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints. Key Responsibilities Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment. Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation. Design and operate scalable inference systems while balancing latency, cost, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies. Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications. Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety. Requirements Strong background in deep learning and transformer-based architectures. Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production. Proficiency with modern machine learning frameworks such as PyTorch or JAX . Experience with distributed training and inference frameworks, including technologies such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray . Strong software engineering skills with experience building robust, maintainable, production-grade systems. Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision. Ability to independently own end-to-end machine learning systems in fast-moving environments. Strong problem-solving skills with a focus on rapid iteration and continuous improvement. Preferred Qualifications Experience with one or more of the following is preferred: LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer Open-source contributions to machine learning or systems libraries Scientific computing, compiler technologies, or GPU kernel development Reinforcement Learning from Human Feedback (RLHF) pipelines, including PPO, DPO, or ORPO Training or deploying multimodal or diffusion models Large-scale data processing frameworks such as Apache Arrow, Spark, or Ray

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an iOS Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade iOS applications where AI interactions are central to the user experience, ensuring performance, reliability, and user trust across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable iOS applications that integrate advanced AI capabilities while maintaining a seamless and intuitive user experience. Key Responsibilities Build and maintain production iOS applications using Swift and SwiftUI . Integrate AI-powered features through backend APIs. Design user experiences for AI interactions, including loading states, streaming responses, retries, and fallback mechanisms. Optimize application performance, memory usage, and battery efficiency. Implement user feedback and analytics mechanisms to support AI evaluation and continuous product improvement. Collaborate closely with backend and machine learning engineers on API design and system behavior. Maintain high standards of application quality, stability, and reliability for App Store releases. Requirements Minimum 3 years of iOS development experience using Swift. Hands-on experience integrating AI-powered features into mobile applications. Strong understanding of async/await , concurrency, and background task management. Solid experience optimizing iOS application performance, memory usage, and responsiveness. Experience developing, releasing, and maintaining production iOS applications. Familiarity with designing applications that operate reliably under latency, partial failures, and non-deterministic AI behavior. Exposure to CoreML or lightweight on-device machine learning is an advantage. Familiarity with feature flags or remote configuration systems is preferred. Strong understanding of user experience design for AI-powered applications, with an emphasis on usability and user trust. Preferred Technical Skills Experience with the following technologies is preferred: Swift SwiftUI Swift Package Manager (SPM) SQL and NoSQL databases TensorFlow Lite (on-device inference)

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is looking for a Full Stack Engineer – AI Systems to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric. Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications. Key Responsibilities Build end-to-end product features across frontend, backend, and AI integrations. Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps. Integrate LLMs, memory systems, and external tools into scalable, production-grade applications. Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance. Improve system reliability, observability, and fallback mechanisms for AI-powered features. Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production. Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage. Requirements Strong experience in full stack software engineering across frontend and backend development. Solid understanding of system design, scalable architecture, and API development. Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies. Ability to work effectively in fast-paced environments with evolving requirements. Strong ownership mindset with experience delivering features from ideation through production deployment. Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations. Preferred Technical Skills Experience with some or all of the following technologies is preferred: Next.js Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an Android Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade Android applications where AI is at the core of the user experience, ensuring performance, reliability, and usability across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable Android applications that integrate advanced AI capabilities while maintaining a seamless user experience. Key Responsibilities Build and maintain production Android applications using Kotlin . Integrate AI-powered features such as chat, vision, voice, and recommendation systems through backend APIs. Design intuitive user experiences for AI interactions, including streaming responses, retries, and partial results. Optimize application performance, memory usage, and responsiveness for AI-intensive workflows. Implement analytics, logging, and user feedback mechanisms to support continuous AI evaluation and product improvement. Collaborate closely with backend and machine learning engineers to define API integrations and system behavior. Ensure application stability, security, and scalability within production environments. Requirements Minimum 3 years of Android application development experience using Kotlin. Hands-on experience integrating AI-powered features, such as Large Language Models (LLMs), computer vision, or speech APIs. Strong understanding of asynchronous programming using Coroutines and Flow . Experience working with RESTful or gRPC APIs and structured data formats. Strong debugging, troubleshooting, and performance profiling skills. Experience developing applications that operate reliably under conditions involving latency, partial failures, and non-deterministic behavior. Familiarity with ML Kit or lightweight on-device inference is an advantage. Experience publishing and maintaining production applications on the Google Play Store . Preferred Technical Skills Experience with the following technologies is preferred: Kotlin / Java SQL and NoSQL databases TensorFlow Lite (on-device inference)

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient. Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms. Key Responsibilities Build, maintain, and operate backend systems that power AI-enabled features in production. Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models. Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems. Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities. Own production operations, including monitoring, logging, alerting, and incident response. Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability. Continuously improve backend architecture and production systems based on operational insights and real-world usage. Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions. Requirements Strong backend engineering experience in production environments. Proven experience building and operating high-throughput, low-latency backend services. Experience designing scalable APIs and distributed systems. Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems. Strong debugging and troubleshooting skills within distributed production environments. Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance. Excellent analytical, problem-solving, and collaboration skills. Technical Skills Experience with the following technologies is preferred: Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: United States Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. About the Role Chartbeat Inc. is seeking an experienced, strategic, and data-driven Director of Content Marketing to oversee and elevate our global content engine across all four portfolio brands (Chartbeat, Tubular Labs, Lineup Systems, and FatTail). Reporting to the Chief Marketing Officer, this leader will define and execute an enterprise-grade content strategy that elevates our market position, educates publisher and media executives, and drives organic demand. The Director of Content Marketing will collaborate with a multi-disciplinary team of writers, strategists, and designers to produce category-defining thought leadership and high-converting marketing collateral. By harnessing our massive, proprietary datasets across web analytics, social video, and ad revenue management, you will turn complex industry insights into compelling narratives that drive prospect engagement, nurture pipeline, and support our overarching "Reach & Revenue" growth story. Key Responsibilities Portfolio Content Strategy: Develop and execute a cohesive content marketing strategy across all four brands (Chartbeat, Tubular, Lineup, FatTail), aligning editorial calendars with revenue goals and brand pillars. Team Leadership & Production: Lead, mentor, and build a team of content producers to create high-quality assets across formats (benchmark reports, whitepapers, case studies, blogs, videos, and infographics). Data-Driven Storytelling: Harness Chartbeat Inc.’s vast proprietary web, social video, and revenue datasets to author industry-defining research, data stories, and thought leadership reports. Full-Funnel Demand Generation: Architect content programs that fuel the demand engine—creating gated and ungated assets designed to capture leads, accelerate sales cycles, and drive customer retention. SEO/AIO & Multi-Channel Syndication: Oversee SEO/AIO strategy and content optimization to boost organic search rankings and AI search, while maximizing asset distribution through social, email, and media syndication channels. Audience Segmentation: Define buyer personas across editorial, revenue, and executive leadership teams, tailoring messaging to solve specific pain points across distinct media verticals. Performance Analytics & ROI: Track and report on content performance metrics (organic traffic, engagement, MQL generation, pipeline attribution), continuously optimizing based on performance data. Cross-Functional Alignment: Partner with Brand & Comms, Growth Marketing, Product Marketing, and Sales Enablement to ensure consistent messaging and support go-to-market programs and product launches. Qualifications 6+ years of content marketing experience in B2B SaaS, enterprise technology, or digital media industries. 3+ years in a team leadership or management role, coaching and developing team members and guiding writers and content strategists. Proven track record of managing content operations across multiple brands, product lines, or sub-brands. Exceptional ability to transform complex datasets and technical media concepts into engaging, narrative-driven content. Demonstrated success using content marketing as a lead generation tool that directly contributes to sales pipeline growth. Expertise in full-funnel content distribution, organic search strategies, and modern SEO best practices. Proficiency with marketing automation platforms (e.g., HubSpot), CMS tools (Webflow preferred), and SEO analytics software (e.g., SEMrush). Deep understanding of the digital publishing, video analytics, or digital advertising ecosystems. Outstanding editorial vision, writing, and copyediting skills with an uncompromising eye for quality and accuracy. Strong project management capabilities, with a track record of executing multi-channel editorial calendars in high-growth environments. Proven experience partnering with Product Marketing and PR to execute cross-functional product launches and brand campaigns. Analytical mindset with experience establishing content marketing dashboards, tracking ROI, and presenting metrics to leadership. Growth-oriented, agile leader capable of operating as both a high-level strategist and an executive editor. Benefits Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%) Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Annual In-Person Event The compensation range for this position is between $170,000 – $180,000. Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .