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Location: New York City Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. About this role: Remix is Via's premier transit planning and scheduling platform, trusted by agencies worldwide to design networks, model scenarios, and optimize service. We're looking for a Senior Product Manager to own the Remix platform itself — its usability, scalability, and flexibility — ensuring Remix remains the most powerful and intuitive tool available to transit professionals globally. This role sits at the center of everything Remix does. You will own the platform foundation that every module is built on, champion AI-led insights that help agencies design better service and measure real performance, and maintain the end-to-end view from planning through operations and back — ensuring data flows in ways that make each step smarter than the last. You are equally comfortable setting long-term platform direction and rolling up your sleeves to sharpen individual features and make each module best in class. What you'll do: Own the Remix platform roadmap — usability, scalability, flexibility, and the cross-cutting capabilities that every module depends on Define and drive the vision for AI-led insights within Remix, enabling transit agencies to make data-informed decisions about service design, network performance, and operational efficiency Hold the end-to-end product view: from network planning through scheduling and live operations, and back into planning via performance data — ensuring the platform is a continuous feedback loop, not a collection of disconnected tools Identify and prioritize vertical feature investments across Remix modules, with the rigor to make each one best in class rather than broadly adequate Partner with engineering and design to raise the bar on platform usability — reducing friction for planners, schedulers, and analysts without sacrificing the depth power users depend on Work closely with data science and engineering to define how AI and analytics capabilities are surfaced in the product — what insights matter, when they appear, and how they drive action Engage directly with customers to understand workflow pain points, validate priorities, and pressure-test the roadmap against real operational needs Stay current on industry trends, competitive products, and emerging technology to ensure Remix leads rather than follows Who you are: You have 5+ years of product management experience, including ownership of platform or infrastructure-layer products used in complex enterprise workflows You are a big-picture thinker who can articulate a multi-year platform vision while also making sharp, well-reasoned prioritization calls at the feature level You have strong instincts for usability and product quality — you notice when something is harder than it needs to be, and you know how to fix it without breaking what works You understand how AI and data products actually work in practice, and you have experience defining how analytical insights should be integrated into operational workflows in ways users trust and act on You can quickly become technically fluent in the underlying data models and entities that power planning and scheduling systems, and you are a credible voice in technical architecture decisions alongside your engineering partners — capable of evaluating tradeoffs and advocating for platform choices that serve both current needs and long-term scalability You have a track record of shipping high-quality features in complex, workflow-heavy enterprise environments where precision and reliability matter You are collaborative, direct, and effective at building alignment across engineering, design, data science, and go-to-market partners Experience in transportation, transit, logistics, or resource-intensive industries is a plus; the ability to learn a technical domain quickly is essential Compensation and Benefits: Base salary range: $150,000-$220,000, determined by experience and skills. Total compensation also includes variable pay and equity. Comprehensive health coverage, with low-cost dental and vision plans. A 401(k) with a generous company match and vesting. Fully paid parental leave for new parents, with extended leave options. Additional benefits (mental health, pet insurance, and other wellness perks). 20 days of paid time off (PTO) annually. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Remote - India AI Engineer - ASR: PraDigi, a Pratham Initiative About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities.  Today, Pratham reaches approximately 7.5 million children annually across 23 Indian states and union territories and an additional 1 million across 31 countries.. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the Anytime Testing Model (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in Hindi and eight Indian languages; and a suite of LLM-powered chatbots designed for diverse learning contexts: from BaalSakhi for early childhood care, to a skilling interview bot for youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field.   Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Description of the Role Pratham International, through its wholly-owned subsidiary in India (PULS Pvt. Ltd.), is looking to hire an AI Engineer for the PraDigi Initiative. As an ASR Engineer, you will lead the development and deployment of speech recognition systems for automated reading assessment across multiple languages.  The engineer will work across the full ASR pipeline: from supervising data collection, annotation, data preparation and model training to decoding, alignment, error analysis, and deployment. This is a hands-on role at the intersection of speech recognition, multilingual NLP, and educational assessment. Key responsibilities include: Data Collection and Annotation Provide technical inputs to speech data collection design, including sampling across languages, dialects, age groups, reading levels, recording environments, devices, and target items to ensure the dataset is representative and useful for model training and evaluation. Define annotation guidelines and quality checks for transcripts, reading errors, disfluencies,  background speech and other phenomena relevant to reading assessment. Work with data and field teams to identify data gaps and annotation inconsistencies through model error analysis, and recommend targeted additional data collection or re-annotation where needed. Help design annotation schemas and inter-annotator quality processes so labels are consistent enough for model training, alignment, and evaluation. Model Training Train, fine-tune, and evaluate ASR models for children’s read speech across multiple languages and accents. Build pipelines for audio preprocessing, segmentation, normalization, transcription alignment, and model training. Adapt existing ASR architectures such as Whisper, wav2vec 2.0, Conformer, CTC/RNN-T, or similar models for reading assessment. Optimize models for practical deployment environments, including low-bandwidth, store-and-forward, server-based, and potentially offline/mobile inference. Adopting for Reading Assessment Develop approaches for accurately detecting substitutions, omissions, insertions, repetitions, partial-word attempts, hesitations and self-corrections. Implement forced alignment, phoneme-level alignment, or pronunciation-scoring approaches where required. Conduct systematic error analysis by language, reading level, age, accent, gender, recording conditions, and device. Collaborate with assessment experts and field teams to translate model outputs into measures such as reading accuracy, WCPM, fluency, and reading level. Benchmarking Define and track ASR metrics relevant to reading assessment, including WER/CER, word-level accuracy, error-detection precision/recall, alignment accuracy, and reading-score agreement with human evaluators. Build reproducible experimentation and model-evaluation pipelines and maintain clear technical documentation. Desired Experience and Qualification We are looking for an AI/ML Engineer with ASR expertise that can own the ASR based reading assessment pipeline across multiple languages A Degree in any Mathematics/Computer Science/Data Science or related STEM field 3-5 years of full-time experience; at least 2 working in an AI/ML role Strong experience in automatic speech recognition, speech processing, or spoken-language technologies. Strong Python skills and experience with PyTorch or similar deep-learning frameworks. Experience working with modern ASR architectures and toolkits such as Hugging Face Transformers, NeMo, Kaldi, or equivalent. Understanding of ASR concepts including: -acoustic modelling -CTC / transducer / encoder-decoder architectures -decoding and beam search -language models -forced alignment -phoneme representations -WER/CER and ASR error analysis Experience preparing and working with large-scale audio and transcription datasets. Ability to diagnose model errors systematically rather than relying only on aggregate transcription accuracy. Why join us? Impact at a Global Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy. Unique Technical Challenges : We apply advanced machine learning where it is needed most. You will solve "last-mile" problems—such as training ASR models on children's voices and optimizing LLMs for offline, low-bandwidth environments—that are rarely addressed in the commercial sector. A Culture of Growth and Evidence : At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team : You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of "Every Child in School and Learning Well." Inclusive and Collaborative Environment : Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Employment Details Contract Type : Full-Time Employment Date of Joining : Immediate Work from Anywhere in India : We offer a flexible, remote-first work environment for candidates based anywhere in India. While you have the autonomy to work from where you are most productive, you will have the unique opportunity to travel to our field locations periodically. These visits are essential to see your models in the hands of learners and to gather the real-world feedback that drives our innovation. Competitive Remuneration : Salary is benchmarked against industry standards for AI roles and is commensurate with experience. As a global organization, we are committed to providing a package that recognizes the high-market value of your technical expertise alongside the deep social impact of your work. To apply Fill out the form attached Shortlisted candidates will be contacted for further rounds Please refer to this Guidance on Candidates AI Usage by Anthropic to understand how to present yourself to Pratham International effectively Pratham International is an Equal Opportunity Employer We are dedicated to creating a diverse and inclusive workplace. We welcome applications from all qualified individuals, regardless of race, gender, disability, or any other legally protected status.

Location: San Francisco Workplace: OnSite 🧠 ABOUT LEGION HEALTH At Legion Health, we believe everyone deserves fast, affordable, and world-class health care. Legion is an insurance-covered virtual psychiatry medical group building AI-enabled tools to make care more accessible and efficient. Our clinicians deliver care, while AI and software handle much of the administrative work so clinicians and patient-support teams can focus on the moments where human judgment and empathy matter most. We combine rich data, production AI, and end-to-end care operations as we work toward a better experience for patients and clinicians. Legion is backed by Y Combinator and leading venture capital firms. 🚀 THE OPPORTUNITY We’re hiring a Growth Content Lead to grow Legion across three connected areas: paid acquisition, lifecycle marketing, and site content. You’ll use audience and performance insights to decide where to focus, then develop and improve campaigns, lifecycle communications, and website or landing-page experiences. This is a hands-on generalist role: you’ll set priorities, write briefs, run experiments, and create or adapt content and simple assets, partnering with Design, Product, and Engineering as needed. Your work will connect the patient journey from first impression through booking and follow-up. You’ll evaluate performance across paid channels, lifecycle engagement, site conversion, bookings, and completed appointments, using insights from each area to guide what the team improves next. ✅ RESPONSIBILITIES AND DELIVERABLES • Paid acquisition and creative: Own the creative thinking behind paid campaigns, from audience and performance insight through briefs, creative review, and iteration. Assess hooks, messages, formats, visuals, and placement fit, and partner with designers, agencies, and creators to bring strong work to market. • Paid testing and performance: Maintain a dependable creative testing cadence, with new work entering market at least biweekly. Organize variants, capture what each test teaches us, and manage campaigns and spend against agreed goals, connecting results to bookings and completed appointments. • Site content and conversion: Own the clarity and quality of growth content across key website and landing pages. Shape page narratives around what prospective patients need to understand, answer common questions, and make next steps easy to follow. • Site optimization: Use audience, search, and performance insights to prioritize page improvements and assess progress toward booking. Partner with SEO, Product, and Engineering on page experience, implementation, and content QA. • Lifecycle content: Plan, write, and improve communications for key moments in the patient journey, from initial interest and booking through follow-up. Keep messages timely, relevant, and consistent with Legion’s voice. • Lifecycle journeys and learning: Work with Growth and relevant partners on audiences, triggers, and cadence. Review engagement and downstream booking performance, then use what you learn to improve each journey. Familiarity with a lifecycle platform such as Resend is helpful. • Briefing across all three pillars: Turn audience research, performance data, and brand strategy into clear briefs for paid, site, and lifecycle content. Define the audience, objective, insight, message, format, call to action, and how each piece will be evaluated. • Partner across the team: Work closely with Growth, Design, SEO, Engineering, and lifecycle partners to move content from idea to launch. Bring in technical support when measurement, site changes, or integrations need it. 🏆 YOU’LL BE SUCCESSFUL IF… • Paid acquisition: New creative enters testing at least biweekly, with each round tied to a clear audience insight and question. • Paid acquisition: Test results show what is working, what the team should change next, and how creative contributes to bookings and completed appointments against agreed goals. • Site content: Key website and landing pages answer prospective patients’ questions, explain what to expect, and make next steps clear. • Site content: Page updates are guided by audience, search, and performance insights, with progress toward booking measured against agreed goals. • Lifecycle marketing: Communications cover agreed moments in the patient journey with timely, relevant messages that feel helpful and consistent with Legion’s voice. • Lifecycle marketing: Engagement and downstream booking and appointment-completion performance are tracked against agreed goals and used to improve lifecycle journeys. • Across the journey: Learnings move between paid, site, and lifecycle so messages feel connected and each pillar benefits from what the others are learning. 🧰 IDEAL BACKGROUND AND SKILLS • 5+ years in growth or content marketing, including hands-on experience with paid acquisition and campaign performance. • Strong creative judgment: you can look at an ad and assess its hook, message, format, visual execution, and fit for the audience and placement. • Experience turning performance and audience insights into useful creative briefs, then partnering with designers, agencies, or creators to make the work. • A track record of testing paid creative and using what you learn to shape the next brief and iteration. • Experience writing or shaping website and landing-page content, with an eye for clarity, useful next steps, and conversion. • Experience planning or improving lifecycle communications, including audience journeys, triggered messages, or lifecycle content measurement. Familiarity with a platform such as Resend is helpful. • Clear writing and editing skills, with an instinct for content that is both compelling and easy to understand across formats. • Comfort reading performance across paid, site, and lifecycle, and connecting content work to bookings and completed appointments. • Comfortable collaborating with analysts or engineers when measurement, tracking, or site implementation needs technical support. • Strong organization, follow-through, and warm, direct communication across Growth, Design, SEO, Engineering, and lifecycle partners. 💰 COMPENSATION & BENEFITS • Salary: $145,000–$175,000 annual base salary, based on experience • Early-Stage Equity: Meaningful ownership in a category-defining company. • Health Insurance: Medical, dental, and vision benefits • Additional Perks: In-person retreats, meal stipends, learning stipend, and AI tooling budget • Time Off: Flexible, unlimited vacation policy • Work Setup: Full-time, onsite in San Francisco, CA 🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is an equal opportunity employer. We welcome applicants from all backgrounds and make employment decisions in accordance with applicable law.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Depending on your experience / skillset and our broader priorities, you could: - Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical - Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional and responsive - Lead product security testing: threat model new features (including AI/agent-facing surfaces), review designs and code for security-relevant risk, and do hands-on testing (manual and tool-assisted) rather than relying solely on scanners - Be a primary responder for security incidents: lead investigation and containment, drive postmortems, and turn lessons into concrete hardening work - Own meaningful chunks of our cloud/infra security posture on GCP/k8s/Postgres: harden configurations, close gaps surfaced by audits or scanning, and partner with infra engineering on secure defaults - Build and maintain security tooling and automation, including using AI/LLM tooling to speed up triage, code review, and repetitive investigation work, so the program scales without linear headcount growth - Partner with the GRC/Trust function: feed real findings into the risk register and control evidence, and help make sure compliance requirements reflect actual engineering practice What we’re looking for - A generalist, senior-level security engineer (5+ years across security engineering, with real depth in at least two of: vulnerability management, product/appsec testing, incident response, and cloud security). We need breadth, rather than a narrow specialist in any one of these. - Hands-on and technical: you can read and reason about code (we use a lot of TypeScript), you’re comfortable in cloud environments (GCP a plus), and you can go deep on a finding rather than just filing a ticket for someone else to fix. You’re comfortable using AI coding/security tools as force multipliers (Linear Agent, Claude, Codex, etc). - Calm under pressure: you can lead an incident from first alert through postmortem without needing to be told what to do next - A builder: you’d rather write a script or ship a tool than repeat a manual process a third time - A pragmatic risk-reducer: you optimize for actually reducing risk, not for checking a box or maximizing findings count - Autonomy-oriented: comfortable setting your own priorities, working with significant independence, and knowing when to escalate - A clear communicator: able to explain a technical finding to a non-technical stakeholder and write it up so it’s actually actionable Our tech This is a hands-on security engineering role. You'll be running tools, reading/writing code, building detections, working in our cloud environment, and partnering closely with the engineers who build our product. Our stack is fronted by Cloudflare and runs on Google Cloud with k8s, Postgres, and Node. For day-to-day work, we use: - Linear, GitHub, Slack, and Google Workspace for collaboration - Claude and ChatGPT for general & engineering-specific AI tasks - Vanta for compliance automation and evidence collection Our security-specific tooling includes: - GitHub Advanced Security - RunReveal - SentinelOne What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $240,000—$282,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - Read Me https://linear.app/readme a story about our mission - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Madrid About Sporty Group Sporty Group is a global sports entertainment company, home to leading brands like SportyBet , Football.com and SportyTV . We operate at the intersection of sports, content, community and technology , building products and media experiences that connect fans with the moments that matter. Our media brands, led by SportyTV , bring fans closer to the game through highlights, stories, analysis, personalities and football culture, across every major social platform. Role Overview We’re looking for a Social Media Lead to drive social strategy and coordinate the social team behind SportyTV and our sports media brands . This role combines team leadership , a sports journalism mindset and strong editorial judgement to make our channels a go-to destination for football fans. You’ll set the editorial direction, run day-to-day publishing operations, and lead a team of social media managers, community managers and content creators, making sure our output is fast, accurate, engaging and built for growth . You’ll work closely with Content, Video/Production, Design, Brand, Marketing, Partnerships, BI and Country teams , and report to the Social Media Director. Key Responsibilities Team Leadership & Coordination Lead, coordinate and develop a team of social media managers, community managers and content creators across SportyTV and our media brands. Set priorities, assign coverage and run workflows and shift planning for match days, live events and breaking news. Give clear feedback, run regular editorial meetings and raise the team’s creative and editorial standards. Build scalable processes (calendars, briefs, approval flows, playbooks) that keep the team fast and consistent. Editorial Strategy & Sports Coverage Define and execute the social and editorial strategy for SportyTV and Football.com , aligned with global brand guidelines and business priorities. Own the editorial calendar around major football and sports moments (EPL, UCL, LaLiga, AFCON, World Cup, transfer windows, etc.). Apply a journalistic approach to social: newsworthiness, storytelling, fact-checking, source verification and speed without sacrificing accuracy. Lead real-time and reactive coverage of match days, breaking news, transfers, controversies and trending moments. Content & Formats Oversee content across Instagram, TikTok, X, Facebook, YouTube (incl. Shorts), LinkedIn and Telegram. Develop and scale repeatable content series and franchises: highlights-led narratives, analysis, interviews, explainers, football culture and personality-led formats. Work with video, production and design teams to deliver platform-native content with strong hooks and retention. Ensure tone of voice, quality and brand consistency across all channels. Community & Audience Growth Drive follower growth, engagement and watch time across SportyTV and media brand channels. Oversee community management: comments, DMs, moderation, sentiment monitoring and escalation of sensitive issues. Spot local relevance opportunities across our key markets and global football audiences. Talent, Creators & Partnerships Work with presenters, journalists, pundits, creators and sports personalities to grow reach and credibility. Support partnerships, rights-holder relationships and co-branded activations with clubs, leagues and media partners. Coordinate with marketing teams on organic and paid amplification. Reporting & Performance Track KPIs: reach, views, watch time, engagement, follower growth, retention and sentiment. Deliver weekly/monthly reporting with clear insights and next actions for the team and leadership. Run testing frameworks to improve formats, hooks, timing and distribution. Requirements 5+ years of experience in social media, with at least 2 years coordinating or leading social media teams . Background in sports journalism, sports media or a sports newsroom (degree in Journalism or Communications is a plus). Proven experience running social channels for sports media brands, publishers, broadcasters, clubs or leagues . Deep football and sports knowledge, with a strong news sense and love for the game. Excellent English (C1/C2 or native) : you’ll write, edit and approve content in English and it’s our main working language. Spanish or other languages are a plus. Strong editorial judgement: accuracy, fact-checking, tone and handling sensitive stories. Excellent platform instincts across TikTok, Instagram, X, YouTube and Facebook, and a good understanding of video-first content. Confident using analytics and social listening tools to guide decisions. Strong organisation, stakeholder management and the ability to lead a team in a fast-paced, high-output environment. Nice to have Experience with live coverage of major tournaments. Experience working with audiences in Africa, Latin America or other international markets. Hands-on video editing or production experience. If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

Location: San Francisco, CA, USA About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores often miss. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into the credit decisions behind products like MyPay, Instant Loans, and SpotMe. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters, and you'll set the technical direction for how Chime underwrites with cash flow data. In this role, you can expect to Lead the design, training, and deployment of deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions, from approval and line assignment to loss forecasting Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Set the technical roadmap for Lending ML and raise the bar across the team through design reviews, mentorship, and shared standards for model development, validation, and governance Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one To thrive in this role, you have A track record of leading the design and deployment of deep learning models in production, including multi-quarter initiatives that span teams, with a solid grasp of architecture choice, training dynamics, and evaluation, and the judgment to make model design choices Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring Comfort with messy real-world data, including label definition, leakage, class imbalance, and train/serve skew Strong proficiency in Python and SQL, with deep learning frameworks such as PyTorch and distributed compute such as Spark or PySpark Working knowledge of modern ML infrastructure — AWS and tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake — and an MLOps mindset for keeping production systems healthy The ability to operate independently in ambiguous environments, influence technical direction beyond your own team, and explain model decisions clearly to engineers, risk partners, and senior leaders Nice-to-have Experience in either of these is a plus: Credit or underwriting models, and familiarity with model governance, explainability, and fairness requirements, such as adverse action reason codes and fair lending testing Cash flow or alternative-data underwriting: building credit features from bank transaction data, such as income and expense detection, balance trends, and transaction categorization Deployed transformer models in production #LI-Onsite #LI-DA1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $246,000 — $340,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: London, United Kingdom Interaction Design Lead In a Nutshell IDEO London is seeking an Interaction Design Lead with a passion for creating human-centred experiences and helping teams do their best work. You’ll lead and co-lead multidisciplinary teams, stay close to the craft, and guide clients from complex questions to tangible products and services. Your work will span digital and physical experiences, including new ways for people to interact with AI. About IDEO London We're a global design consultancy where curiosity, empathy, and solving complex challenges drive us. For over 40 years, we've partnered with clients to innovate in healthcare, mobility, education, retail, and beyond. Here, every challenge is a chance to grow, connect, and create impact. Why is this role important for IDEO's work? Interaction Design is at the heart of creating meaningful human-centred experiences that meet people’s needs and help businesses move forward. As an Interaction Design Lead, you’ll bring together craft, creative direction and project leadership to help teams turn strategy into experiences people can use. As AI becomes part of everyday products and services, you’ll help us explore how people understand, trust and stay in control of systems that can act on their behalf. Once Here You Will Lead and co-lead multidisciplinary project teams from research and framing through design, prototyping and delivery, balancing people’s needs, client goals and technical possibilities Set a clear design direction and stay hands-on with journeys, flows, interfaces and interaction details, connecting individual touchpoints to a coherent product or service experience Build and guide prototypes at the right fidelity to answer the team’s questions, using Figma, code and AI-assisted tools to make ideas tangible early and test them with people Partner with researchers and technologists to plan experiments, test usability and accessibility, and use qualitative feedback and product data to refine designs and assess their impact Explore conversational and agentic UX: design how people express intent, approve actions, understand what an AI system is doing, redirect it and recover when things go wrong Own project plans, resource needs and delivery milestones; brief and delegate work clearly, spot obstacles early, and help the team navigate ambiguity while maintaining creative quality Be a main client point of contact, facilitate working sessions and present compelling design narratives; align stakeholders on decisions, trade-offs and next steps Help scope client challenges and shape proposals and follow-on opportunities with senior colleagues, drawing on project learnings and collaboration across Europe and beyond; travel as projects require Mentor designers, give actionable craft feedback and build an inclusive team culture; share methods and learnings across our London community, including thoughtful use of AI that protects client and participant information We're looking for someone with 6–8 years of professional experience in interaction design, digital product design, UX/UI or a related discipline, including 1–2+ years leading projects or multidisciplinary teams Strong interaction design craft and a portfolio showing how you turn complex requirements into clear experiences; advanced expertise in one or more areas of digital, visual, service or systems design, with fluency across others A strong grounding in human-centred design, research and usability testing, with the ability to guide a team from evidence to design decisions and measurable outcomes The ability to scope, brief and delegate design work, manage timelines and resources, and empower a small to medium team to take ownership of different parts of a project A keen eye for visual hierarchy, responsive interfaces, motion and micro-interactions, and the ability to critique work and offer clear, actionable feedback Strong prototyping skills in Figma or comparable tools, and confidence experimenting with AI-assisted ideation and prototyping while checking outputs and making your own design judgements A commitment to accessibility and inclusive design, and thoughtful judgement about privacy, bias and people’s agency when designing with AI The ability to connect interaction details to wider service and system needs, and work with engineers to understand technical constraints and bring designs to life Excellent storytelling, presentation and facilitation skills; confidence building trusted client relationships, aligning stakeholders and helping others succeed with empathy and openness An Interaction Design qualification or equivalent work experience, alongside curiosity, self-awareness and a willingness to give and seek feedback It's a bonus if you Have worked closely with product managers and engineers to take digital products or services from concept to launch and learn from their use Have used product analytics and experimentation to evaluate design decisions and improve outcomes Have designed conversational or agentic experiences, including human approval, transparent system behaviour, error recovery and hand-offs between people and AI Have built functional prototypes with code or AI coding tools, and can explain where these tools improved your process and where your judgement changed the outcome Have helped shape proposals, scope engagements or develop repeat client work Have contributed to design systems or reusable interaction patterns, or explored emerging technologies through creative experimentation What does IDEO offer you? Innovation and creativity: Dive into a variety of projects from creating breakthrough digital products and experiences, to designing new customer interactions, to building innovation capabilities – working alongside talented individuals across disciplines. Learning and growth: Whether it’s strengthening your project leadership, deepening your interaction design craft or exploring new technologies, we’re here to support your journey. Community and well-being: Collaboration and community are central to what we do. We foster moments for creativity, connection, and reflection, respecting the need for work-life balance. Projects with purpose: We partner with clients to use design as a means of realising their purpose and making a positive impact. We work 'upstream,' from defining the problem, designing possible solutions, and exploring what, why and how they might be brought to life. Compensation £70,000–£80,000 GBP, depending on experience Location This position is based out of our London studio. Some Previous Projects To Check Out To get a flavour of the work we do in London, take a look at these case studies: Climate action for SMBs – Designing a strategy and experience to help Sage’s SMB customers transition to net zero. Redefining retail with FEMSA – Designing Spin Premia, a digital loyalty experience connecting everyday shopping at OXXO with rewards and services. Sustainable packaging system – Helping H&M increase their sustainability and growth, by designing and scaling a universal packaging system for all of their brands. Commitment to Diversity At IDEO, we are committed to the work of advancing diversity, equity, and inclusion within our organisation and in the world. Our purpose of having disproportionate, world-changing impact through design is directly connected to our ability to bring many different perspectives to the table. This applies to our candidates, the people we hire, the clients and customers we serve, and the communities we learn from in our research. As a human-centred organisation, we are committed to working with and designing for people of every race, ethnicity, gender identity, sexual orientation, age, socio-economic status, physical ability or attribute, religion, national origin, or political belief. We recognize that this commitment requires ongoing work and sustained attention, as well as adaptation to new insights and best practices Application Requirements And Instructions If you identify with our values, are excited about great design, and would like to contribute to our community, we would love to see your CV, a cover letter and examples of your work. CV: please highlight experiences related to the ‘We’re looking for someone with’ and ‘It’s a bonus if you’ sections above Cover letter: please share why you are interested in this role and how it aligns with how you are looking to grow in your career. Work examples (confidentiality permitting): please include two projects that show your interaction design craft and project leadership. We’d love to see how you think, make and help a team move forward. In your work examples, focus on: The challenge you were trying to solve The context, users and client goals you were designing for Your specific design contribution and how you led or supported the team The research, design and prototyping methods you used, including any AI tools and how you evaluated their outputs Key design decisions, iterations and trade-offs, illustrated with flows, interfaces or prototypes The impact on people, the client and the team, and what you learnt from the outcome

Location: US: San Mateo (1875 South Grant Street) Workplace: Hybrid The role / impact As the Workplace Lead in San Mateo, you are the Workplace Experience function for one of Xero's most strategic and visible hubs. In this senior, hands-on role, you will set the operational standard, advise the San Mateo leadership team on space design and ways of working, and ensure the office is a vibrant environment worth attending. Your impact extends beyond the local site as part of a globally distributed team transforming toward an AI-native operating model. You will actively test AI tools, automate workflows, and leverage workplace data to turn insights into recommendations, directly shaping how workplace operations evolve across Xero's global footprint. The team / how they connect You will join a lean, globally distributed Workplace Experience team that collaborates closely on systems, standards, and vendor partnerships. Locally in San Mateo, you will act as the primary operational point of contact for the leadership team while partnering with the broader People Experience team to deliver moments that foster connection and culture. Together, the team shares expertise across regional and global workstreams to build consistency and continuous improvement. The team is currently working on / Initially, you will focus on - Automating day-to-day administrative workflows and workplace operations using artificial intelligence tools and templates. - Managing key local vendor relationships across facilities management, cleaning, catering, and security to maintain service level agreements. - Analysing workplace metrics, including occupancy, utilisation rates, and vendor cost-per-head, to guide strategic investment decisions. - Managing ISO 27001 compliance and health, safety, security, and environment requirements to keep the site audit-ready. Where and how you can work This role is based in our San Mateo office. We offer a hybrid working arrangement that combines the flexibility of working from home with dedicated in-office collaboration days to build connection and community[cite: 1, 2, 7]. Here are some of the things we are looking for - A strong background in workplace or facilities management, with a track record of operating autonomously in local markets. - Proven experience in managing vendor performance, enforcing service level agreements, and conducting structured reviews. - Active experience using artificial intelligence tools and workplace technology platforms, such as visitor management, access control, and desk booking systems. - Skill in interpreting workplace data to generate actionable recommendations for leadership rather than standard reporting. - Commercial acumen with experience managing operational budgets, tracking actuals against forecasts, and building financial cases for change. - Familiarity with health, safety, security, and environment standards alongside information security compliance frameworks such as ISO 27001. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: $108,500 – $135,600 USD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken. 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 enhance our culture and team.

Location: 🇧🇷 São Paulo / 🌎Remote Workplace: Remote A little bit about us: We are Belvo, an open finance API platform with the bold vision of democratizing access to financial services in Latin America. We enable any financial innovator to access and interpret financial data, as well as initiate payments from their end-users accounts. We’re turning the messy complexities of the Latin American financial ecosystem into a modern set of tools to access and interpret data and move money in a seamless and secure way. We’re a highly-technical, passionate, and driven team. We are more than 90 people and our team currently represents 20 nationalities. We have offices in São Paulo and Mexico City – while a large portion of us work remotely. We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way. Since starting our adventure in May 2019, we have raised $71m from the leading VC investors globally. You can read more about our company here https://belvo.com/about/ and about our team and culture here https://belvo.com/careers/. Also, head to our blog https://belvo.com/blog/ for more news about what we’re building and how we work https://belvo.com/blog/category/working-belvo/. About the team: - We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack.  - Our products are built for developers, by developers. Technological excellence is at the heart of what we do.   - We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback.  - We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals. - While we are global and remote-friendly, we also operate from our vibrant offices in CDMX and Sao Paulo. To accommodate the various time zones in which we are based, we ensure we’re always synced up for at least 3 hours per day. - Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator. The challenge The Intelligence Squad is Belvo's AI enabler team. One part of the squad builds the platforms and patterns that let every team at Belvo ship AI. This role sits in the other part: turning the financial data and payments we aggregate across Latin America into models that make real decisions, who looks creditworthy, which transaction is fraudulent, what category a payment belongs to, whether an income statement checks out. That data drives real financial outcomes for the people and businesses on the other end, so the bar for rigor is high. You'll be the data science reference in the squad. We're not hiring someone to execute a modeling backlog someone else wrote. We want someone who decides which problems are worth modeling, defines how we know a model is good enough, and raises the data science bar for everyone they work with. You'll be deep enough in statistics and ML to defend a modeling choice to anyone, whether this is a set of rules to simplify a problem or a complex model that you build. You'll be close enough to the business to turn a commercial problem into a modeling roadmap and a business case. And you'll be a strong enough engineer to take your models from notebook to production and own them there. Responsibilities - Model development and selection: Lead the design of statistical and ML models (classification, regression, ranking, NLP or LLM-based) for problems like risk scoring, fraud detection and transaction categorization. Choose approaches on their merits and defend those choices with data, not habit. - AI-leveraged delivery: Use agentic coding and research tooling as a core part of how you work: exploring data, generating and testing feature hypotheses, scaffolding pipelines, writing the service around the model. We care about the decisions you ship, not hours at the keyboard, and we expect you to keep compressing the gap between the two. - Feature engineering with business context: Work with Product and the business teams to figure out which signals in Belvo's financial data actually explain the outcome you're modeling, and translate an ambiguous business question into a well-scoped modeling problem. - Productionization and ownership: Take models past the notebook. Build or shape the pipelines, APIs and services that run them reliably in production, and own them once they're live: monitoring, drift, retraining, and retirement when the evidence says so. - Experimentation: Design and run experiments (A/B tests and offline evaluation) to confirm that a model change actually moves the metric it's meant to move. - Cross-functional partnership: Work closely with Engineering, Data Research, Product, and the rest of the Intelligence Squad to ship end to end, and with stakeholders across the business to keep your models grounded in what actually matters to them. - Business and customer partnership: Work directly with stakeholders and, when needed, customers. Translate ambiguous business questions into well-scoped problems, and explain trade-offs and impact clearly to non-technical audiences, executives included. - Staying current: GenAI moves weekly. We expect you to be genuinely plugged in: model releases, papers, and tooling, to hold an opinion on what's real versus hype, and to bring the useful parts back to the squad as a demo, a doc, or a session for our company-wide AI Chapter. - Framing the problem: Decide what's worth modeling. Push back when a rule, a heuristic, or a better data pipeline solves the problem without a model, and be willing to kill or retire your own model when the evidence says so. This position may be for you if - 5+ years of experience as a Data Scientist, Applied Scientist, or in a similar hands-on modeling role. - You've owned models end to end in production, from framing the problem to monitoring it live, and you can point to the measurable business impact they had. - You have a solid grounding in statistics and can explain how your models work at that level, not just how to call them. - You've built and compared more than one type of model (for example tree-based methods, regression, deep learning) for the same problem and can justify why you picked the one you shipped. - You're comfortable in Python for data science (pandas, scikit-learn, and at least one of TensorFlow or PyTorch) and in SQL for pulling and shaping your own data. - You've taken several models you built into production yourself, not just handed it off to someone else to deploy.You http://deploy.You understand engineering fundamentals: testing, version control, CI/CD, and how to write code someone other than you can maintain. - You've built with LLMs past the API-call level: tool use or agents, retrieval, structured outputs, and shipped at least one to production. You can explain how you knew it was good enough, which means you've built some form of evaluation, not just eyeballed outputs. - Agentic coding tools are part of your daily workflow, not a novelty. You can walk us through a specific task that used to take you days and now takes hours: how you set it up, what you delegated, and where you still don't trust the output. - You're proficient in written and spoken English. Amazing if - You've worked in fintech, financial risk, or another regulated data environment before. - You have a business or strategy background alongside data science (an MBA, consulting, or a product/strategy role). - You've worked in a customer-facing data science role, such as a forward-deployed engineer or a solutions/applied team at a data platform company. - You've worked with MLOps tooling for model versioning, monitoring, and automated retraining. - You've deployed models on AWS (for example SageMaker or an equivalent managed ML service). - You've written evals or an LLM-as-judge harness for a non-deterministic system, and have opinions about where that approach breaks. - You've used LLMs inside the data pipeline itself: labeling, extraction, categorization, and can say where they beat a classical model and where they quietly don't. Tech stack - Python is our primary language for data science and modeling (pandas, scikit-learn, and deep learning frameworks as needed). - SQL against a cloud data warehouse for data access and feature work.Claude deployed company-wide and Claude Code for every engineer. Agentic tooling is part of how we work daily, not a side experiment. - Cloud infrastructure on AWS, favoring managed services so you can focus on the modeling problem rather than infrastructure plumbing. - An experimentation platform for A/B testing and offline evaluation. - We use Datadog for service observability across the company. - We follow Continuous Integration and Continuous Delivery best practices. Our tech stack: - We’re building our platform using modern technologies, putting the focus on reliability and long-term maintainability - We primarily use Python on the backend. We use battle-tested technologies such as Django, and we are heavy users of Python’s asyncio for some parts of our stack - We use Javascript, Vue.js and Sass on the frontend. We are developing and leveraging our own design system and component library - We run our infrastructure on top of Amazon Web Services, leveraging managed services. We tend to favor the use of managed services wherever possible, in order to focus on our business problems - We observe and monitor our services using Datadog - We follow Continuous Integration and Continuous Delivery best practices Our process steps: At Belvo every hire is so important to us, that we share the decision to hire as a team. - People team chat - Take-home challenge - Challenge presentation - Team fit chat - Meet the founders Our perks: 🚀 Stock options (we are all owners and this is very important to us) 📈 Annual company bonus linked to company performance 🔆 Flexible working hours 🔝 Remote friendly 🐶 Pet friendly 👩🏻‍⚕️ Health Insurance 🎊 Paid time off on your birthday 💻 Renew your laptop every 3 years 🙋 Training Budget 😎 Team building events 🙀 Bank holidays swap within 30 days 🔋 Fitness/ wellness stipends 🚀 Yearly company offsite 🍒 Fresh fruit every week, all-you-can-drink tea and coffee 🏝 Extra days off accrued when completing 2, 3, 4 years and beyond at Belvo 🎳 Yearly department offsite

Location: Hong Kong Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken and Payward VIP team supports the firm’s highest-value private clients: high-net-worth individuals who expect a premium, secure, and deeply tailored experience. We ensure Kraken remains the exchange of choice for VIPs through white-glove relationship management, personalized trading enablement, and high-impact benefits. We are looking for a Head of VIP, Asia to lead and grow Payward VIP presence across the region. This is a player-coach role: you will build and lead a small, high-performing team while personally owning strategic client relationships, originating new business, and shaping the regional growth playbook. You will set the standard for how Kraken serves, retains, and grows its most valuable private clients in Asia. You will be equally comfortable in a senior client meeting, building an introducer network, coaching a relationship manager, hosting a VIP event, and partnering internally to remove the product or operational barriers that cost us high-value business. Payward VIP program is unique, and we intend to keep it that way. We don’t copy what other exchanges and desks do. You’ll take what makes our program different and adapt it to how Asia’s VIP clients actually trade, network, and build trust. That means testing new ideas, learning fast, dropping what doesn’t work, and scaling what does. If you’re bold, comfortable with ambiguity, and humble enough to fail fast and move on, this is your seat.     THE OPPORTUNITY - Lead, coach, and develop VIP relationship managers in Asia; establish clear standards for client coverage, pipeline management, service quality, and commercial performance. - Build the operating model for VIP growth across Asia, including territory coverage, account segmentation, referral strategy, events, and performance reporting. - Own regional AOP growth, net deposits, client assets, trading volume, retention, and revenue performance. - Build a repeatable pipeline of qualified high-value clients through direct outreach, referrals, introducers, family offices, proprietary trading firms, OTC desks, miners, project treasuries, and high-volume traders. - Represent the voice of Asia’s VIP client base internally: identify competitive threats, regional market dynamics, product gaps, and opportunities that influence where private-client capital trades. PERSONALLY OWN STRATEGIC CLIENT RELATIONSHIPS - Own and grow Kraken's most strategically important private client relationships across Asia, bringing our full VIP offering - ranging from trading and asset management to other services - to market locally, within Kraken's compliance and risk framework. - Serve as the senior relationship owner for Kraken’s largest and most strategically important private clients across Asia. - Bring Kraken’s VIP and private-client offering to market locally, including spot, margin, futures, OTC execution, earn and yield opportunities, lending, and tailored benefits. - Build trusted, durable relationships while ensuring every client interaction and commercial initiative operates within Kraken’s licensing, compliance, and risk framework. BUILD REGIONAL PRESENCE AND PARTNERSHIPS - Develop Kraken’s presence in Asia’s VIP trading and investor communities, including private trading groups, investor clubs, KOL and trader networks, and closed-door investor circles. - Design and lead high-quality regional programming, including VIP dinners, trader meetups, conference-adjacent events, and partner activations, in collaboration with Marketing and Regional teams. - Build and manage introducer and referral partnerships that create a durable source of qualified VIP opportunities. - Partner with Product, Marketing, Compliance, Banking, Client Service, and Operations to launch regional growth initiatives and improve the client experience.     WHAT YOU BRING - 7+ years of experience in VIP relationship management, private banking, brokerage, private-client sales, account management, or business development, including meaningful experience in crypto or digital assets. - Demonstrated people leadership experience, with the judgment and practical coaching ability to lead a small team while remaining hands-on with strategic clients and revenue opportunities. - A strong personal network among Asia’s crypto HNWIs, traders, family offices, OTC desks, funds, or trading communities. Experience across Greater China, Hong Kong, Taiwan, or Singapore is especially valuable. - A proven record of personally originating and converting new business, not solely servicing an existing client book. - Deep knowledge of crypto market structure and trading solutions, including spot, margin, futures, OTC, lending, tokenized equities, and yield/earn products. - Strong commercial judgment and comfort managing KPIs including assets on platform, net deposits, revenue, trading volume, retention, pipeline conversion, and client portfolio growth. - Native or near-native Mandarin and fluent English. - Comfort operating across multiple regulated Asian jurisdictions, with sound judgment on when to engage Compliance and Risk partners early. - Willingness to travel up to 30% across the region for strategic client meetings, events, and conferences.           Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Limassol, Cyprus Workplace: onsite David Kennedy Recruitment is working with a Cyprus-based digital services company providing B2B marketing, technology, analytics and operational support to international brands that is seeking to onboard a Social Media Marketing Specialist to join their team. The successful candidate will support an iGaming project focused on Latin American markets, managing social media activity, creating engaging content and growing the project’s online presence across multiple platforms, within the limits of a regulated industry. Position: Social Media Marketing Specialist Location: Limassol, Cyprus Work model: On-site Employment type: Full-time Duties & Responsibilities Plan and manage the social media calendar across Instagram, X, Facebook, TikTok, YouTube, Telegram, WhatsApp and other relevant channels Create and adapt content for each platform, including short-form video, memes, match previews, live reactions, odds highlights and promotional posts Manage community channels by replying to comments and direct messages, moderating discussions and escalating support issues to the appropriate team Coordinate giveaways, contests and ambassador or influencer collaborations with the Marketing and Affiliate teams Track and report on reach, engagement, follower growth, click-through rates and contribution to conversions Test new formats, hooks and posting times, using performance insights to improve results Monitor competitors and platform trends in the iGaming industry. Requirements At least 2 years’ experience in social media marketing Previous experience in iGaming / betting industry, with exposure to LATAM markets, is mandatory Fluent in both Russian and English Hands-on short-form video editing skills using CapCut, Premiere Pro or similar tools Experience with social media scheduling and analytics tools such as Meta Business Suite, Sprout Social or Hootsuite Understanding of how Meta, TikTok, X and Google restrict iGaming advertising, with the creativity to build organic reach within those limits Strong feel for meme culture and a sharp sense of humour Strong attention to detail, speed and accuracy, able to meet tight deadlines during live events Based in Cyprus Working schedule: Monday to Friday, 08:30 AM - 05 PM (in line with Cyprus time zone). Benefits Performance-based bonus 21 days of annual leave 6 paid sick leave days and 4 personal days per year Sports benefit Daily lunch provided Access to industry events and conferences Fast-paced, entrepreneurial and supportive team environment And many others!!!

Location: Brussels; Rome; Barcelona; Zug; Porto; Cape Town; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Dubai; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Abu Dhabi; Lisbon; Tallinn; London OR Brussels; Seychelles; Rotterdam; Krakow; Johannesburg; Zagreb SENIOR DATA ENGINEER ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. ABOUT THE TEAM AND WHY THE ROLE EXISTS The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few. You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open. WHAT YOU’LL DO - Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures. - Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us. - Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events. - Design the lakehouse and time-series layer around consumer query patterns. - Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing. - Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management. - Make observability, cost, and performance first-class from day one. - Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team. - Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams. WHAT WE’RE LOOKING FOR Tools matter less to us than how you think about problems. That said, here's the shape of the person we have in mind. Engineering Craft - 8+ years of building production data systems that other people rely on. - Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it. - Code that's easy for someone else to read, test, and delete later. - Strong understanding of data modelling for both streaming and analytical workloads. - Efficiency, quality, idempotency, and observability are taken seriously by default. Systems Design - You've designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis, and you have opinions about partitioning, consumer groups, offsets, and schema registries. - You've used a time-series store in production (ClickHouse ideally; TimescaleDB, QuestDB, or similar are fine too) and can talk about table design as a function of query patterns. - You've worked with a lakehouse architecture and reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost. - You build for self-healing and idempotency. Reprocessing is safe, retries don't double-write, and the system recovers without a human in the loop. Operational Readiness - Docker, Terraform, and CI/CD are how you work, not a separate "DevOps" thing. - You think about cost and performance early. - You instrument as you build: logs, metrics, and traces are part of the system from day one. - You design for data quality and governance up front covering contracts, validation, lineage, and ownership How You Think and Work - You reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more. - You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with them that way. - You optimise for outcomes over output. A smaller, simpler thing that ships and works beats a bigger thing that doesn't. - You take ownership end-to-end: design, ship, operate, improve. - You say what you think including when it's an unpopular take. You change your mind when the argument is better. - You make the people around you better. Reviews are real, juniors grow from working with you, and peers want to work with you again. - You're curious about how markets work. Data engineering on its own won't keep you interested here. - You're honest about what you know and what you don't, and quick to close the gap. - You understand financial market data: order books, trades, reference data, portfolios, exposures. Crypto, TradFi, or both are a strong plus. NICE TO HAVE - Lakehouse experience with Apache Iceberg or Delta Lake. - Familiarity with DataHub or similar metadata/lineage platforms. - Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required. WHAT YOU’LL GET - A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us. - Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum. - Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team. - A competitive salary package, with various benefits. - A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room. OUR RECRUITMENT PROCESS We’re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock

Location: United States; St. Louis; Detroit; Charlotte; Denver; Chicago; Seattle; Austin; Minneapolis; Phoenix; Atlanta; Washington D.C.; New York; Los Angeles; Nashville; Houston; Boston; Columbus; San Francisco; Dallas Workplace: Remote ClickHouse is hiring its first Senior Lifecycle Marketing Manager to own how we engage, activate, and grow our user base across the entire customer journey. Your mission is to turn Cloud signups, trial users, and prospects into pipeline and self-serve MRR through behavior-driven lifecycle programs across email and in-product channels. You'll design the nurture engine that powers both our PLG and sales-led motions. This is a hands-on, individual contributor role. You will build from the ground up as the first lifecycle marketer at ClickHouse, try new marketing strategies, and work with a passionate community of ClickHouse users. WHAT YOU WILL BE DOING - Own the lifecycle marketing strategy end-to-end, from Cloud signup onboarding through activation, conversion and expansion, with accountability for trial-to-paid conversion, MQL volume, and influenced pipeline. - Build behavior-triggered nurture programs that respond to product usage, content engagement, and intent signals, so the right message reaches the right user at the right stage. - Design and optimize onboarding journeys for ClickHouse Cloud signups, partnering with Growth PMs and the product team to align email touchpoints with in-product experiences and drive activation. - Run always-on nurture for the sales-led funnel, with segmented streams by persona, use case, and funnel stage that warm prospects for sales and accelerate open opportunities. - Build and run a testing roadmap across subject lines, send cadence, content formats, and channel mix, using results to improve engagement and conversion. - Report on lifecycle funnel metrics for PLG and SLG, analyze conversion at each stage, identify drop-off points, and implement improvements. - Track industry trends, competitor activity, and emerging technologies to identify new lifecycle opportunities. WHAT YOU BRING - 6+ years owning lifecycle, email, or growth marketing programs (onboarding, activation, nurture, retention). Years can be combined across roles. - At least 3 years at a database, data infrastructure, developer tooling, or API company, or another technical product sold to developers or data practitioners. - Proven track record of building behavior-triggered lifecycle programs that measurably improved activation, conversion, and pipeline at a PLG company with a free trial, free tier, or self-serve signup. - Analytical mindset, with the ability to interpret data, identify trends, run experiments, and make data-driven decisions. - Excellent written and verbal communication skills, with demonstrated ability to create engaging content for developers and to work closely with engineers and product partners. - Strong project management and organizational skills, with the ability to manage multiple programs simultaneously and meet deadlines. - Preferred: experience at a company with an open-source product. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Vancouver, BC Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&A to keep KPI definitions consistent where domains overlap. Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain. Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds. Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions . Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design. Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred). Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning. Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix. Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners . Curiosity about AI-native a nalytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus At A sana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Generous, transparent and fair compensation system (base salary and RSUs) Health insurance with dental Breakfast and lunch catering on the da ys that you work from the office Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBo oks with all necessary accessories For this role, the estimated base salary range is between $106,000 - $120,000 CAD annually . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Enterprise Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations. You will partner with engineering, platform, product and business teams, take end-to-end ownership of complex solutions, and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready enterprise data foundations. Responsibilities Design and deliver enterprise data solutions ·       Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms and cloud data environments. ·       Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. ·       Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective. Own quality, reliability and operations ·       Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. ·       Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. ·       Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency. Provide technical leadership and collaborate ·       Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice. ·       Partner with business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership. ·       Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly. ·       Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls. Skills and Qualifications ·       Typically 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions. ·       Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. ·       Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies. ·       Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles. ·       Experience with orchestration, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services. ·       Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments. ·       Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders. ·       Bachelor’s degree in a relevant discipline or equivalent practical experience. Desirable Experience ·       Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms. ·       Experience with AWS services, APIs, event-driven integration and infrastructure as code. ·       Experience building reconciled financial data, master/reference data or enterprise operational data products. ·       Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. ·       Experience working with globally distributed teams and supporting cross-functional transformation programmes. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Minsk Workplace: hybrid About NRS National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. As a major player in the retail technology industry, NRS is expanding into next-generation cloud platforms, high-throughput retail ecosystems, and advanced analytics solutions. We are building modern, highly scalable systems designed specifically for high-volume retail operations and real-time reporting. This project represents one of the most significant technical initiatives in NRS’s history and offers a rare opportunity to join at the ground floor of a major strategic expansion. Role Overview: We are seeking a Senior Full Stack Engineer based in Minsk, Belarus to join our distributed engineering team. In this role, you will help architect and build core components of NRS’s next-generation retail platform. You will focus heavily on robust backend services written in Golang, high-throughput query performance, and leveraging ClickHouse for real-time reporting and large-scale data modeling, alongside modern front-end architectures using Vue.js and micro-frontends Experience with columnar/OLAP databases like ClickHouse is highly desired to support our analytical engine, but deep, hands-on mastery of SQL, data indexing, and database performance profiling is the primary requirement. You will work closely with engineering leadership, product managers, and architects across Israel, Belarus, and the U.S., contributing meaningfully to the technical direction, data architecture, and scalability of our products. This position requires 3 days a week in-office work at our office in Minsk to collaborate in person with local engineering peers, along with regular remote collaboration across our global teams Responsibilities: Technical Leadership & Architecture Architect, build, and maintain high-performance full-stack applications—ranging from real-time analytics dashboards to reporting pipelines—with a strong focus on Golang for backend microservices and Vue.js on the front end. Design, model, and optimize high-speed relational and analytical data stores—writing advanced SQL queries, materialized views, aggregation logic, and indexing strategies to power real-time reporting dashboards. Leverage analytical data stores (ideally ClickHouse ) to build ultra-efficient reporting engines and handle high-throughput data ingestion. Design and implement modular micro-frontend architectures to support scalable, independently deployable UI components across team boundaries. Take end-to-end ownership of core system components, high-throughput backend APIs, and event-driven microservices. Drive architectural design, technical planning, query optimization, and engineering best practices across the team. Ensure platform scalability, low latency, fault tolerance, and secure service design. Execution & Delivery Write clean, maintainable, highly efficient, and well-tested Go and JavaScript/TypeScript code. Collaborate with product and engineering teams in the U.S. and locally to translate complex requirements into robust, scalable technical solutions. Uphold code quality through thorough code reviews; we use AI-assisted tooling (Cursor, Copilot, Claude Code) as part of our workflow. Debug, profile, and optimize complex SQL queries, execution plans, database locks, and distributed backend microservices. Collaboration & Culture Participate in daily standups, sprint planning, and retrospectives to support continuous delivery. Communicate effectively across time zones and collaborate seamlessly with global engineering leadership. Required Qualifications: 6+ years of full-stack development experience , with at least 2 years in a senior or lead capacity . Solid Backend Expertise in Go: Proven track record of designing, building, and scaling Go-based microservices, concurrent applications, and REST/gRPC APIs. Deep SQL Mastery & Data Modeling: Expert-level knowledge of SQL, including writing complex joins, subqueries, query execution plan analysis (EXPLAIN), indexing strategies, schema normalization/denormalization, and performance profiling for large-scale reporting datasets. Modern Frontend & Micro-Frontend Mastery: Strong hands-on experience with modern JavaScript/TypeScript frameworks—specifically Vue.js (Vue 3 / Composition API). Demonstrated experience designing or working within micro-frontend architectures (e.g., Module Federation, single-spa, component isolation). Experience building end-to-end SaaS products, microservices, or complex distributed web platforms. Proficiency with Linux/Unix environments, Git, and CI/CD automation workflows. Strong problem-solving mindset with the ability to lead technical initiatives independently. Excellent English communication skills with experience collaborating with remote/U.S.-based stakeholders. Nice to Have: ClickHouse / OLAP Experience: Direct hands-on experience with ClickHouse or other columnar/analytical databases (Snowflake, BigQuery, Redshift) is a strong plus . Working knowledge of PHP (legacy service integration/migration). Familiarity with containerization and orchestration ( Docker, Kubernetes ). Hands-on experience with cloud platforms (ideally AWS ). Knowledge of real-time communication technologies ( WebSockets, gRPC, Kafka, or NATS ). We are pleased to offer: Hybrid work opportunity (3 days in the office)! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program - get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and  have over $1.5 billion in revenues.     We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Location: New York City Workplace: Hybrid About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. THE OPPORTUNITY: As more health systems turn to Stepful to build their workforce, the story we tell them has to be sharp, consistent, and backed by proof. We're hiring a Senior Product Marketing Manager to own that story from end to end: how we position Stepful to health system and employer partners, the assets our sales team uses to win deals, the customer stories that prove our impact, and the account-based programs that reach our priority accounts. This is a hands-on, independent role. You'll own the product marketing and B2B content engine day to day, run your own programs without close oversight, and partner on larger go-to-market launches as the function grows. This hybrid opportunity is based out of our NYC office, reporting into the Director, Enterprise Marketing. WHAT YOU'LL DO: Positioning & GTM Resources - Own and maintain Stepful's B2B positioning and messaging, and update it as our programs, partners, and market evolve - Build and refresh GTM assets such as pitch decks, one-pagers, battlecards, and email templates, in partnership with our Workforce Solutions team Content & Customer Proof - Run case study production end to end, from partner interviews and approvals to publishing and distribution - Own the content calendar and keep a steady cadence of content that supports pipeline goals - Partner with Client Success to find partner outcomes worth telling, and with Product and Learning to translate program details into buyer-ready language Demand Gen & ABM - Build and run outbound and ABM sequences in Clay, from account lists and enrichment to personalized multi-touch campaigns, coordinated with sales on target accounts - Own reporting on campaign and content performance, share results on a regular cadence, and use what you learn to decide what to test next - Experiment with AI tools to speed up research, content production, and personalization, and document what works for the team WHAT YOU'LL BRING: - 3+ years of B2B marketing experience across product marketing, demand generation, and/or content, including ownership of positioning and messaging - A track record of building sales enablement assets that sellers actually use, and of partnering closely with a sales team - Experience producing customer case studies and running a content calendar at a steady cadence - Hands-on experience running ABM or outbound programs aimed at enterprise buying committees, including building sequences yourself in Clay or a similar tool - Excellent writing skills: you can make a complex offering clear and compelling for an executive buyer - Comfort with data: you track funnel and campaign metrics, report on them clearly, and use results to change your approach - The ability to manage several workstreams at once with little day-to-day direction, and to flag risks and tradeoffs early BONUS POINTS IF: - You've marketed to health systems, hospitals, or HR and workforce leaders - You've worked in EdTech, workforce development, or healthcare - You've been the first product marketer at a Series B–D startup - You have experience with HubSpot or other marketing automation and CRM tools INTERVIEW PROCESS: - Introductory call with Talent Acquisition team member - Interview with Hiring Manager - Take-Home Assignment - Virtual Panel Interview - On-Site Panel Interview BENEFITS AND COMPENSATION: - Meaningful Equity Stake - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Learning stipend - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2026 The target base salary range for this opportunity is $120,000 - $150,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful 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, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Location: British Columbia Workplace: Hybrid We have an immediate opening and are excited to find the right candidate to join our team. Safe Software is looking for a Senior Software Developer to join our Form team. As a Senior Software Developer, you will drive scalable, maintainable solutions; shape cross-team architecture and practices; and coach and empower other developers. This role has a strong security focus: hardening FME Form against memory-safety and dependency risk, and raising the security bar of the codebase and the team that works in it. ABOUT THE TEAM As part of the FME Form product group, you'll join a group of collaborative development teams composed of team leaders, developers, quality analysts, and student interns who work together as a team and alongside product managers and user experience designers, on complex technical projects that provide direct value to our users. As a part of this close-knit and diverse team, you will work together with internal stakeholders to maintain and extend our flagship FME Form products that delight customers and empower them to author dataflows that can be shared, reused, and integrated with the FME Platform. WHAT YOU'LL BE DOING As a Senior Software Developer, you will: - Harden all areas of FME Form to be security sensitive. For example, eliminating classes of memory-safety defects rather than individual bugs - Build and own the tooling that finds problems early: fuzzing harnesses, sanitizer and static analysis coverage, and compiler/runtime hardening in our build pipeline - Drive, advocate and review threat modeling on shipped and upcoming features, and triage incoming vulnerability reports: assessing severity, scoping impact, and driving remediation - Architect and guide the implementation of complex, high-impact product features and systems - Lead cross-team technical initiatives, collaborating across departments to align on solutions and priorities - Provide technical mentorship and coach to developers across all levels, promoting secure-coding skill development and knowledge sharing - Champion best practices in software architecture, testing, security, and performance - Identify and lead efforts to address technical debt, system reliability, and process improvements - Represent technical and security perspectives in product planning, working closely with Product Management and UX - Provide expert input during code and design reviews, ensuring high quality and maintainability - Contribute to the evolution of Safe's development culture, standards, and tooling strategy QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. What We're Looking For: - Education: Bachelor's degree in Computer Science, Software Engineering, or a related field - Experience: 7+ years of professional software development experience, including technical leadership of complex projects and systems - Technical Expertise: Advanced proficiency in C++ for core system development; Python skills specifically for automation and scripting; architectural design, debugging, and optimization in large, complex codebases. Threat modeling (e.g. STRIDE and/or DREAD) on shipped features, and CVSS v4.0 scoring - Product Security: Demonstrated ownership of security-relevant code and the tooling that finds them: fuzzing, sanitizers, static analysis, SAST/DAST, and hardening; ability to triage and communicate vulnerability severity (CVSS, CWE) - Experience with A.I. coding agents (e.g. Claude Code, GitHub Copilot) - Influential communicator and mentor; able to align teams, foster collaboration, and lead through change - Comfortable with ambiguity and shifting priorities, and with making pragmatic risk tradeoffs - Strategic thinker with a systems-level perspective; proactive in identifying opportunities for innovation and continuous improvement; skilled at balancing technical depth with business context - Nice to Have: - SBOM generation and third-party vulnerability management at scale - Familiarity with industry frameworks and references such as OWASP and MITRE - Relevant certifications (e.g. OSED, OSCE, GXPN, SANS SEC661/SEC760, CSSLP) - Familiarity with Safe Software's core technology areas or similar technical domains - Experience with different operating systems (e.g. macOS, Linux) - Experience building desktop applications using the Qt Framework, specifically Qt Widgets WHAT YOU CAN EXPECT When you choose a career with Safe Software, you're also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That's right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe's success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we're located close to public transit, and provide complimentary parking and bike storage for our team!   ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.