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Location: Colombia About the role We currently have several Analyst openings across our Risk teams in Mexico and Colombia, specifically within Retail Credit Risk. You will join one of these teams and use data to solve real business problems, improve risk strategies and processes, and support better decision-making across our credit products. Previous risk experience is not required — we value strong mathematical and analytical thinking, solid SQL and Python skills, and the ability to quickly understand and solve complex problems Challenges that await you: Analyze credit funnels, portfolio performance and key risk indicators to identify trends, risks, friction points, and opportunities Develop and maintain analytical datasets, reports, dashboards, and BI solutions to support business and risk decision-making Help design and optimize credit decision strategies, evaluating their impact on approval rates, portfolio quality, recovery, and customer behavior Analyze the profitability, NPV, and unit economics of credit products and identify the key parameters driving their performance Prototype, evaluate, and monitor analytical and machine learning models, including testing hypotheses and assessing model performance Work closely with Risk, Product, Data, Data Engineering, and business teams to turn data analysis into practical decisions, tests, and new processes What makes you a great fit: Completed education : Mathematics, physics, engineering, economics, computer science, or another strong quantitative field Strong knowledge of SQL and Python; experience with data analysis libraries and machine learning tools is a plus Good mathematical intuition and a solid understanding of probability and statistics Ability to solve unfamiliar, non-trivial problems and quickly find logical, data-driven solutions Analytical mindset: curiosity, attention to detail, willingness to learn, and the ability to clearly explain your conclusions B1 or higher English level for effective communication with an international team Nice to have: Up to 2 years of experience in analytics Experience in risk analytics Understanding of machine learning concepts and approaches Experience with BI tools (e.g., Tableau, Superset) Our ways of working: Innovative Spirit : a commitment to creativity and groundbreaking solutions Honest Feedback : valuing open, transparent communication Supportive Team : a strong, collaborative community Celebrating Achievements : recognizing our wins together High-Tech Environment : a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Colombia and Mexico with assistance for the employee and their family Flexible work : hybrid or full-time from our offices Healthcare Coverage Education Budget : Language lessons, professional training and certifications Wellness Budget : Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Milan, Italy; Biassono, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🗺️ THE ADVENTURE AHEAD As a Senior Product Engineer I at Docebo, you aren't just writing code; you are the architect of a world-class SaaS platform that empowers millions to learn and grow. You’ll join a cross-functional team where your mission is to design and deploy solutions that push the boundaries of EdTech. By embracing "Near Zero Handovers," you will have the autonomy to see your ideas move from a whiteboard concept to a global production environment. This is your chance to tackle complex technical challenges and leave a lasting mark on a product that is literally shaping the future of work. Our Tech-Stack We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. In this role, your day-to-day will be mainly focused on Golang and PHP development, and when needed supporting on Frontend development using Angular. Here is a snapshot of our technology stack: - Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation. - Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React. - Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native. - Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.   🛠️ THE DAY-TO-DAY - Engineer Excellence: Design, implement, and deploy scalable software solutions that enhance the core functionality of our global SaaS platform. - Collaborate Without Borders: Partner closely with Product Managers, UX designers, and QA legends to turn visionary concepts into high-performing features. - Champion Code Quality: Write clean, efficient, and beautifully documented code while participating in peer reviews to keep our standards sky-high. - Crush Technical Debt: Proactively engage in refactoring efforts to boost system performance and ensure our codebase remains maintainable and modern. - Solve Complex Puzzles: Monitor and troubleshoot live applications, identifying and resolving issues quickly to ensure our users always have a smooth experience. - Live the Agile Life: Fully immerse yourself in sprint planning, daily stand-ups, and retrospectives to keep our momentum and goals perfectly aligned.   💪 YOUR SUPERPOWERS - Experience: 4 + years of experience in full-stack development - Technical Versatility: You have hands-on experience with Golang or PHP (or both) and in any frontend technology (Angular or React). - Agile Expertise: You thrive in Scrum environments and possess a clear understanding of CI/CD processes and rapid delivery. - DevOps DNA: Experience with Docker, Kubernetes, or Infrastructure as Code tools like Terraform. - Testing Mastery: You have a passion for automation and experience with testing frameworks to ensure high-velocity delivery. - Proactive Problem Solver: You have a "can-do" mindset and the diagnostic skills needed to fix complex issues with speed and efficiency. - Collaborative Spirit: You are a dedicated team player who communicates effectively and takes full accountability for your work.   OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: Tel Aviv, HQ Workplace: OnSite WHAT YOU'LL DO - Own and drive the end-to-end lifecycle of Wonderful's AI OS components: from ideation and design through production launch, and continuous iteration based on real customer usage. - Partner closely with engineering, forward-deployed teams, and enterprise customers. Turn what you learn into decisions of what actually makes an agent reliable or a deployment succeed. - Define and own the metrics that matter for each product, and use them to continuously adjust strategy for maximum impact and growth. WHAT WE'RE LOOKING FOR - 3+ years of product management experience in hyper-growth tech companies, ideally with some exposure to AI/ML or agentic products. - Highly analytical, with a proven track record of investigating reality over opinion, and using it to drive prioritization and strategic decisions. - Genuine passion for AI, comfortable with ambiguity and fast-paced environments. - Strong technical fluency, comfortable discussing tradeoffs with engineers. - Exceptional problem-solving skills, a proactive, ownership-driven mindset, and the instinct to build the frameworks that keep a fast-moving team focused. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Tel Aviv, HQ Workplace: OnSite WHAT YOU’LL DO - Own the product narrative. Define what it is, what it enables, and why it matters. Connect capabilities to business value: what the enterprise gets, not what the product does. Keep it sharp against a fast-moving competitive field and coherent with the Wonderful platform story. - Deliver stories in every format. Product videos of every type: launch films, feature walkthroughs, demo narrations. Plus release notes, web copy, and sales narratives. You write the script and the one-liner. - Find stories. Find them in the product, in deployments, in customers. The best material isn't handed to you; you go dig it out from product and field teams. - Build enablement and sales materials. Decks, one-pagers, battle cards, demo scripts. Build them, maintain them, keep them the single source of truth. - Break down for industries and buyers. Adapt the product’s core messaging for specific verticals and for business, technical, and risk buyers. - Work AI-first. AI is embedded in how this team operates. You'll use it daily and help design how. WHAT WE’RE LOOKING FOR - 5+ years of B2B product marketing, ideally with a technical product. - Truth seeking. You dig into what the product actually does and what customers actually experience, and you make sure the messaging reflects it. - Proven ability to develop positioning and turn it into sales-facing and customer-facing assets. - Range across formats: video scripts, release notes, positioning docs, web, enablement. - Depth over breadth: you can go deep on one product and become its foremost internal expert. - Fluency with AI tools as part of your daily workflow, not as an afterthought. - Comfort in an early-stage, fast-paced environment. Things move quickly here. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Buenos Aires, Argentina Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Twitch. Roblox. Admazing. Help run the business behind them. Millions of people play, watch and create on these platforms every day. At Aleph, we help advertisers reach them, and we need someone who makes the business behind it run smarter and faster. As Associate Sales Operations Manager, you'll be the right hand to the Partner Manager for this Business Unit and the leader of our team of CSMs. You'll sit at the center of the action: planning, pricing, pipeline and performance all pass through you. Your challenge Our sales teams move fast, and so do the platforms. Your job is to give them clarity and speed: Turn planning, forecasting and reporting into something fast, accurate and increasingly automated, with AI as part of your daily toolkit. Build the processes that let the business scale without adding complexity. Be the person who sees the problem before it becomes one, and fixes it. Main Responsibilities What you'll do Own quarterly and annual planning, revenue planning and pricing. Run weekly sales reporting (opportunities, pipeline health, status) and keep upper management informed on attainment, pacing, growth and coverage. Automate reporting and workflows with AI tools, and document processes so the team can scale. Lead a team of CSMs. Partner with finance and with our platform partners' sales ops teams, including support at closing time. Work with Revenue Recognition, Legal and other teams on strategic projects. Skills and Experience Required: What you bring Must have Hands-on experience using AI and automation tools to improve workflows and reporting. We love concrete examples: tell us what you've built and what changed because of it. Experience in planning, forecasting and commercial reporting, in a fast-paced tech environment. Ability to influence and drive change across stakeholders and levels of management. Organized self-starter with a problem-solving mindset. Fluent English and Spanish. Nice to have Salesforce or another CRM. Digital advertising or digital media knowledge. Experience leading or mentoring a team. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Lisbon Workplace: hybrid Spin.AI is a global SaaS cybersecurity company that protects mission-critical data across Google Workspace, Microsoft 365, Salesforce and Slack. Our product – SpinOne unifies SSPM, ransomware protection, DLP, backup & recovery in one platform trusted by enterprise customers worldwide.   As our platform evolves and new features are delivered faster, the volume of manual testing has increased. To keep our quality standards high and ensure stable releases, we are looking for a Middle Manual QA Engineer who takes real ownership of product quality. We expect someone who thinks critically, challenges requirements, spots risks before they turn into incidents, and is comfortable diving into UI, APIs, databases, and backend workflows. You will become part of a strong QA team of 7 engineers, including both Manual and Automation QA specialists, working closely together to maintain high product quality and continuously improve our testing processes.   This role is based in our Lisbon office in a hybrid format. If you are not currently in Portugal, we are open to remote work during the trial period, with relocation to Lisbon afterward. 🧰 Day-to-Day Responsibilities Perform manual testing across UI, APIs, integrations, and backend-driven workflows. Analyze requirements and acceptance criteria, proactively identifying risks and gaps together with PO/PM/Dev. Own and maintain test documentation in Zephyr: create, review, and update test cases and checklists; develop and manage test plans and test cycles; prepare test result reports when required. Validate data integrity and system behavior using database queries. Run and analyze automated test results to identify problem areas, support root-cause analysis, assist with prioritization, and align on next steps with the team. Review product documentation, analyze it critically, and suggest improvements. When needed, deliver short demos or walkthroughs to align with PO/PM 📌 Requirements 3+ years of manual QA experience in Web/SaaS products (CRM/eCommerce is a plus). Strong test design skills (exploratory, risk-based, negative scenarios, regression) and solid bug reporting. Web fundamentals: HTTP, DevTools (Network/Console), basic HTML/CSS, general understanding of Java. Databases are mandatory: understanding core DB concepts + hands-on verification using PostgreSQL. Practical understanding of test plan / test cycle / test case concepts and ability to apply them in Zephyr. Ability to read documentation, analyze it critically, and suggest changes. Critical thinking and initiative to uncover risks and non-obvious defects. English: Intermediate+. 🛠 Tooling (used daily) Jira — bug tracking, tasks, defect communication Zephyr — test management (test plans, test cycles, test cases, regression) Database tools (PostgreSQL) — data validation and verification via SQL queries Browser DevTools (Chrome/Firefox) — Network/Console for request / http analysis, UI behavior, errors Automated tests (CI / project runs) — running and reading results/logs to identify weak spots and support defect analysis and alignment on next steps with the development team Nice to have: Postman, Swagger, Confluence (or similar), AI tools for QA, Jenkins Nice-to-Have: REST API testing (Postman, Swagger). SQL beyond basics. Exposure to test automation (running tests, reading logs/reports). Experience using AI tools to improve QA efficiency. Knowledge of cloud platforms: AWS, GCP, and Azure (basic services, IAM/permissions, core cloud concepts). Java understanding (reading code / following logic is a plus). 🌍 Why Spin.AI Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Work on a real product with real users and visible business impact Work on an interesting and large-scale product Solve complex, non-trivial security and engineering challenges Opportunity to influence technical and product decisions Trust from management and autonomy in day-to-day work Strong, professional team with deep expertise 🎁 What we offer Annual performance-based salary review Annual performance-based bonus Referral bonuses Educational budget Sport & hobby compensation Medical insurance compensation Company presents (birthdays, anniversaries, weddings, etc.) Corporate travel parties twice a year

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The Network team is responsible for the architecture, engineering and operation of QRT’s global trading and enterprise networks. The Principal Network Engineer is a senior individual contributor responsible for deep technical leadership, complex problem-solving and continuous engineering improvement. Working closely with network leadership and engineering teams, you will ensure complex technical problems are resolved effectively, architectural standards are translated into usable engineering practices, and the network becomes increasingly scalable, supportable and resilient without creating individual points of dependency. Your future role within QRT: Lead investigations into complex performance, latency, resilience and operational issues. Act as a senior technical escalation point for network teams. Turn architecture standards into implementation patterns, automation, validation, documentation and runbooks. Lead or support complex changes, migrations and technical improvement work. Evaluate new technologies and improve existing designs and operating practices. Implement effective instrumentation and use operational data to identify problems and improvements. Mentor engineers and spread knowledge across the function. Your Present Skillset: Deep hands-on experience designing, operating and troubleshooting complex networks. Strong knowledge of WAN, data-centre networking, BGP, multicast, and ultra low-latency environments. Strong packet-analysis, telemetry and structured troubleshooting skills. Strong knowledge of financial market architectures Experience with automation, source-controlled configuration, validation and monitoring. Knowledge of FPGA-connected network paths. Experience mentoring engineers and influencing technical decisions. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Core owns the foundational journeys that define a user's relationship with OKX: account management, identity verification, moving and securing funds, and the risk, compliance, and customer support experiences that sit alongside them. It also covers the internal enterprise tools our support agents, PMs, and operations teams rely on every day to serve customers and run the business. These are among the most consequential surfaces in the product. They determine whether users feel confident enough to trade, whether they trust us with their assets and their data, and whether the teams behind the scenes can resolve issues quickly and well. AI is central to how Core works and what Core builds. On the product side, we design AI-powered support and assistant experiences that help millions of users get answers and resolve issues in real time. Internally, we are an AI-native team: we use AI to move faster, sharpen our thinking, and raise the quality of what we ship, and we design the AI-native tools our internal teams depend on. If you are excited to design with AI and to shape how AI shows up for both customers and colleagues, this is a place to do it at scale. As a designer on Core, you'll take ownership of these high-stakes experiences end to end. The problems are genuinely hard. You'll design across markets with fundamentally different regulatory requirements, from newly regulated regions to our established global user base, and your work will need to satisfy strict compliance and security standards while still feeling fast, clear, and reassuring. You'll partner closely with product, engineering, legal, and compliance, shaping requirements early rather than executing them late. This is work where the details carry real weight. If you want to influence how millions of users experience crypto at its most critical moments, and how the teams supporting them get their work done, Core is one of the most impactful places to do it at OKX. What You’ll Be Doing Own complex, high-stakes journeys end to end across account, assets, compliance, or support, taking them from problem definition to shipped, polished execution. Design AI-powered experiences, from customer-facing assistant and support flows to AI-native internal tools, thinking through how people and AI work together, and where trust, transparency, and control matter most. Partner with product, engineering, legal, compliance, and risk to define the real problem, then design solutions that balance regulatory and security requirements with a genuinely good user experience. Produce the full range of design artifacts as needed: user flows, journey maps, wireframes, high-fidelity designs, and interactive prototypes, backed by evaluative research. Work in an AI-native way, using AI to accelerate exploration, prototyping, and decision-making, and helping raise the bar for how the team designs. Shape the design vision for your area alongside UX Research, UX Writing, and product leadership, and influence the roadmap early rather than delivering to it. Raise the quality bar through design reviews, critique, and workshops, and bring rigor to ambiguous, high-consequence problems. What We Look For In You We hire against a shared set of competencies. Beyond craft, we look for how you think, decide, collaborate, and drive work forward. Craft and expertise. Deep design craft with a sharp eye for detail, and up-to-date knowledge of your field. You analyze problems methodically and turn them into simple, effective solutions you can execute end to end. Judgment in ambiguity. You cut to the root of a problem, make sound calls even with incomplete information, and find the optimal path rather than the obvious one. Core problems are rarely clean, and good judgment is what keeps users safe. Business and product sense. You understand how the business works and where it's heading, and you connect design decisions to strategy, metrics, and real outcomes, not just the screen in front of you. Collaboration and communication. You communicate with clarity and precision, build genuine trust with product, engineering, legal, and compliance, and give and seek feedback that raises the whole team's work. Partners see you as a collaborator, not a service function. Drive and curiosity. You ask why before you design, stay resilient when problems are hard or ambiguous, and keep pushing your craft and ideas forward. You question the brief rather than just building it. AI fluency. Genuine fluency and enthusiasm for AI. You already use AI tools in your own work, and you're excited to design AI-driven experiences, not just adopt the buzzword. Experience designing complex, multi-step flows, ideally in fintech, crypto, or another regulated or high-trust domain. 3+ years of experience shipping end-to-end design solutions in cross-functional teams at a tech company. Nice to Haves Experience designing AI or conversational interfaces, or a track record of using AI to change how you work as a designer. Interest in designing complex internal tools and operational workflows, not just customer-facing surfaces. Exposure to data-informed design. You're comfortable interpreting user insights, behavioral data, or A/B test results. Familiarity with design systems and the ability to scale consistency across platforms. Prototyping skills to bring ideas to life and communicate transitions or microinteractions. Experience working across time zones with distributed teams. You know how to stay aligned and communicate with clarity. A degree in design, HCI, or a related field. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We are seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there. You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room. You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage. WHAT YOU'LL BE RESPONSIBLE FOR - Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families - Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off - Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity - Extend our infrastructure as code for capacity-relevant provisioning - Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency - Build and tune capacity alerting so headroom, quota, and reservation issues surface months out rather than at the moment of impact - Support the demand gate — helping intake large customer commitments, launches, migrations, and new regions so they reach the plan before they reach the fleet - Contribute to mitigation projects: right-sizing, instance-family migrations, autoscaling improvements, workload consolidation - Help drive down compute cost per database through right-sizing, placement, and commitment coverage work - Participate in capacity incident response and post-incident follow-through YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years across infrastructure engineering, SRE, platform, or capacity engineering, ideally at SaaS or cloud infrastructure scale - Have production software engineering experience — you've owned and operated a service, not just a notebook. Comfortable in modern languages like TypeScript, Python, and Go - Are comfortable working against forecasts and assumptions that are incomplete, and can revise your work as those assumptions change - Have experience with Infrastructure as Code (Pulumi or Terraform) - Have built or maintained observability for systems you own — metrics that answer real questions and alerting people trust (Prometheus/Grafana, CloudWatch, or similar); - Have solid working knowledge of AWS EC2: instance families and generations, purchase options, capacity reservations, and quota mechanics - Have some financial fluency — you understand reservation economics and the basic tradeoffs between coverage, utilization, and cost - Communicate clearly across audiences, from engineers to finance stakeholders WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: London; New York; San Francisco; Dubai Workplace: Remote VC PARTNERSHIPS & BUSINESS DEVELOPMENT MANAGER Pragmatike is on a mission to help early-stage startups and scaleups win the talent war and build exceptional tech teams. ABOUT THE ROLE We're looking for a VC Partnerships & Business Development Manager to build Pragmatike's relationships with venture capital firms and create a new growth channel for our business. Your mission will be to build relationships with VCs and position Pragmatike as a trusted talent partner for their portfolio companies. You'll identify and engage VC partners, principals, platform teams, and operating partners, introduce them to Pragmatike's talent solutions, and develop partnerships that can lead to opportunities across their portfolio. This is a highly entrepreneurial, relationship-driven role. You'll be building this channel from the ground up, with significant ownership over strategy, outreach, partnerships, and revenue generation. WHY THIS ROLE IS DIFFERENT - Build a VC channel from zero to one: Define our strategy for identifying, approaching, and partnering with venture capital firms. - Sell at the fund level: Build relationships with VCs that can open doors to multiple portfolio companies rather than selling one company at a time. - Create strategic partnerships: Position Pragmatike as a trusted resource VCs can recommend when their portfolio companies need exceptional technical and product talent. - High ownership: Own the full process from identifying target funds and opening conversations to developing partnerships and generating portfolio opportunities. - Work directly with founders: Collaborate closely with Pragmatike's leadership team and help shape our broader go-to-market strategy. - Build a powerful network: Develop relationships across the global VC, startup, and technology ecosystem. YOU’RE A FIT IF YOU… - Have 3+ years of experience in business development, partnerships, sales, recruiting, or a similar commercial role. - Have experience working with VCs, venture-backed startups, founders, or the broader startup ecosystem. - Understand how venture capital firms operate and how they support their portfolio companies. - Are highly comfortable reaching out to and building relationships with senior investors, partners, and executives. - Have a strong commercial mindset and know how to turn relationships into meaningful business opportunities. - Are entrepreneurial, proactive, and comfortable building something from scratch. - Communicate exceptionally well in English, both verbally and in writing. - Are self-motivated and comfortable working remotely with significant autonomy. - Have a genuine interest in venture capital, startups, technology, and talent. NICE TO HAVE - Existing relationships with VC funds, accelerators, or startup ecosystem organizations. - Experience selling recruitment, staffing, talent, HRTech, or B2B professional services. - Previous experience working in VC, portfolio support, startup platforms, or founder-facing roles. - A strong personal network within the startup and investment ecosystem. - Experience with tools such as LinkedIn Sales Navigator, Apollo, HubSpot, Clay, or similar platforms. - Experience working with early-stage technology companies. COMPENSATION & BENEFITS - Flexible freelance contract with competitive performance-based compensation. - Significant ownership over the development of Pragmatike's VC partnership channel. - Fully remote work environment with flexible hours. - Direct collaboration with Pragmatike's founders. - Opportunity to build a high-value network across the global venture capital and startup ecosystem. - High-growth environment with significant career progression opportunities. Ready to build Pragmatike's VC partnership network and help the world's best startups build exceptional teams? Apply now and help us build this channel from the ground up. 🍜🏴‍☠️

Location: Tokyo Workplace: Hybrid Operating beyond the scope of conventional services or solutions engineering, Solutions Architects function as embedded technical advisors. You will manage the entire spectrum of customer outcomes, initiating with deep discovery and investigative work and culminating in the design, integration, deployment, and long-term enablement of the customer. This position sits at the intersection of analytical rigor, financial services expertise, and strategic customer partnership. You will engage directly with banks and other financial institutions to understand their operational goals, risk requirements, investigative needs, and compliance challenges, developing bespoke workflows that allow organizations to leverage Chainalysis independently. Your impact hinges on strong investigative instincts, technical proficiency, an understanding of financial crime and compliance within banking, and the ability to build trusted relationships with senior stakeholders. Japanese language fluency is required, both spoken and written. In this role, you’ll: - Own end-to-end customer engagements with banks and financial institutions, from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Partner directly with banks and financial institutions to understand investigative, intelligence, compliance, fraud, AML, and operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently, building internal capability and embedding Chainalysis into their operational infrastructure - Act as the primary technical and domain advisor for customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demonstrations, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic financial services opportunities, helping customers understand what is possible and how to achieve it - Collaborate closely with Product, Engineering, Global Intelligence, and Sales to influence the roadmap and improve offerings based on customer and market intelligence - Develop and share financial services domain expertise, investigative techniques, and best practices that raise the capability of the wider team We’re looking for candidates who have: - Professional experience working directly with banks, financial institutions, or other financial services organizations - Fluency in both spoken and written Japanese - Conducted or directly supported cryptocurrency investigations, blockchain intelligence, financial crime analysis, AML, compliance, fraud, or related work in an operational environment - Strong understanding of how banks and financial institutions manage financial crime, compliance, risk, investigations, and digital asset exposure - Deep familiarity with blockchain ecosystems, including BTC, ETH, stablecoins and DeFi, and how on-chain data can be used within financial crime, compliance, risk, or investigative workflows - Delivered customer-facing technical solutions, whether investigative outputs, data products, or analytical workflows, in complex real-world environments - Built insights from large or complex datasets and communicated findings to varied audiences, from analysts to senior banking executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment Required Skills: Technical Skills - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Financial Services & Domain Expertise - Substantive experience working with banks or financial institutions is a must - Experience in one or more relevant domains, such as AML, financial crime investigations, fraud, sanctions and compliance, risk, cybercrime, or digital asset compliance - Understanding of how banks and financial institutions operate, including their investigative workflows, regulatory environment, risk frameworks, and stakeholder structures - Ability to apply financial services and domain expertise to shape investigative approaches, solution design, and customer advisory - Strong understanding of how blockchain intelligence and digital asset data can support banking, compliance, risk, and financial crime objectives Customer & Communication Skills - Proven ability to build trusted, long-term relationships with banking and financial services customers through technical and domain credibility - Excellent communication skills, with the ability to explain complex investigative and data concepts to both technical and non-technical stakeholders - Fluent Japanese communication skills, both written and verbal - Comfortable leading customer sessions, workshops, training, and technical working groups - Experience enabling and upskilling customer teams, not just delivering outputs but building long-term customer capability - Ability to communicate effectively with senior banking, compliance, risk, AML, and financial crime stakeholders AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Singapore About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional Data Engineer Intern to join our growing team. In this role, you will design and implement data pipelines that load data from multiple sources into our data warehouse, building efficient data models that drive analysis and key business metrics. You'll optimize analytical workflows using dbt Cloud, leveraging macros and packages to enhance productivity, while contributing to our CI/CD processes and DevOps practices. You'll also have the opportunity to participate in AI initiatives by contributing to the development of Data Genie in Workato. In this role, y ou will also be responsible to: Implement and maintain data pipelines to load data from multiple sources into a data warehouse. Building efficient data models to drive analysis and key metrics. Optimization of analytical workflows to improve productivity through the use of macros and packages in dbt Cloud. Continuously improve existing DevOps experience by strengthening our CI/CD processes Contribute to AI initiatives by assisting with the development of Data Genie in Workato. Collaborate with internal business stakeholders to understand various data pain points and develop solutions to resolve those issues. Support operational needs of various business units. Requirements Qualifications / Experience / Technical Skills Currently pursuing a degree in Business Analytics, Information Systems, or other related field. Able to commit for at least 6 months. Good understanding of Database concepts such as ERD. Intermediate SQL skills (e.g. Join, CTE, and window functions etc). Experience in using data warehouses such as Snowflake and data transformation tools such as dbt Cloud. Experience with using Extract-Load-Transform (ELT) applications or scripts.. Experience in building and working with AI related solutions using LLMs is a plus. Understanding of CI/CD and DevOps is a plus. Soft Skills / Personal Characteristics Fast mover and comfortable navigating a fast-paced environment. Excellent organizational skills and ability to juggle multiple projects simultaneously. Strong analytical skills, verbal and written communication skills are required to present actionable insights to business leaders. Thoughtful team player, a keen learner, and have a “can do” attitude with a growth mindset. (REQ ID: 2942)

Location: Armenia; Czech Republic; Poland; Serbia Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About the Role As the business grows and introduces increasingly sophisticated financial products, we are looking for an experienced professional to take ownership of our financial data ecosystem: improving cost and revenue collection methodologies, strengthening reconciliation processes, and driving deeper analytical insight for management. Reporting Line: Head of Business Intelligence Location: Remote Responsibilities Review and redesign existing cost and revenue collection processes from external counterparties Develop scalable methodologies for integrating new financial products into the accounting and reporting ecosystem Design automated validation and control mechanisms that improve financial data quality Review and audit the current Activity-Based Costing (ABC) methodology Investigate discrepancies and work with Finance, Operations, and Technology to resolve root causes Manage multiple reporting scopes with varying legal entity inclusion and exclusion rules Support ad-hoc reporting requests during corporate transactions Qualifications Strong understanding of financial reporting and accounting principles Experience working with General Ledger data Experience designing reconciliation or financial control processes Strong analytical mindset, with the ability to investigate complex financial data Experience working with SQL and large datasets Ability to understand end-to-end financial processes rather than isolated reports Excellent communication skills, including the ability to explain complex findings to both technical and non-technical stakeholders Personality / Mindset Integrity & loyalty Team player with advanced communication and collaboration skills A hands-on, can-do attitude - always looking for solutions and thinking out of the box Overachiever mentality Capability to work and succeed in a fast-paced and ever-changing environment We Offer* Competitive salary Corporate benefits (choose your preferred options) Truly inspiring culture, pleasant and informal work environment Ongoing education & training programs Opportunity to network and connect in the Corporate Events Global career opportunities *Benefits/perks vary depending on the nature of your employment with the company and the country where you work EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: London Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint - we’ve got huge goals. As an Algorithm Researcher at Via, you’ll join our R&D center in London, as part of the Core R&D group, which is responsible for developing and maintaining Via’s proprietary algorithms and the services that run them in production. The role sits at the intersection of algorithm development, data science, and software engineering. You’ll work on complex algorithmic problems, explore and evaluate different approaches, and turn your solutions into reliable production systems that support Via’s transportation networks around the world. If you enjoy combining analytical thinking, algorithms, data, and hands-on development, this position might be just for you! What You'll Do: Design, develop, and improve Via’s core algorithms and business logic, solving complex real-world problems. Explore and evaluate algorithmic approaches using data, experimentation, and analytical methods. Develop and maintain mission-critical services that bring algorithmic solutions into production. Work with large datasets to analyze system behavior and improve the performance of our algorithms. Take ownership of complex technical problems, from initial research and exploration through to production. Work in close collaboration with algorithm developers, researchers, data scientists, and software engineers. Who You Are: M.Sc. or Ph.D. in Computer Science / Mathematics / Statistics / Operations Research / similar quantitative field. 3+ years of relevant industry experience in algorithm development, data science, research, or software engineering with a strong algorithmic focus. Strong knowledge of algorithms, data structures, and analytical problem-solving. Strong Python skills and experience developing production-quality code. Experience working with data and applying data science, optimization, or analytical techniques to solve complex problems. Experience taking algorithms, models, or prototypes and turning them into production systems. Experience with DevOps and cloud infrastructure (Kubernetes, etc.) — strong advantage. Experience in architecture and maintaining cloud systems — strong advantage. Curious and analytical: you enjoy exploring different approaches and understanding the data behind your solutions. Pragmatic: you can break complex problems into smaller problems and find simple, effective solutions. Hands-on: you enjoy taking ideas from research or experimentation all the way into production. Compensation and Benefits: Becoming part of a company that was awarded for its commitment to social good: We are one of 17 Ventures That Embody the U.N.’s 17 Sustainable Development Goals Inc. Magazine’s “Best in Business” Awardee in the software category for Companies That Put Purpose Before Profit Competitive compensation including equity A spacious office near Chancery Lane, where you can enjoy weekly team lunches Comprehensive health scheme offered through AXA Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI) 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: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As a first-line leader directly managing a team of Outcomes Architects, you’ll own your team’s execution across workflow adoption, value realization, renewal readiness, expansion qualification, and at-risk account recovery — accountable for both the customer outcomes and the quality of execution that produces them. This isn’t a traditional Customer Success management role. The best OA Managers are coaches first: they know what great workflow discovery looks like, can review a mutual success plan and identify where value realization is breaking down, can inspect an executive business review and sharpen the value narrative, and can help an OA turn account activity into measurable customer and commercial outcomes. You’ll run an inspection cadence and cultivate a coaching culture that make consistent execution possible across the team. You’ll partner closely with Solutions Consultant leaders, Services, Support, Product, and RevOps to ensure customers move from workflow design to adoption, value realization, expansion, and renewal readiness. If you’re a builder who loves developing people as much as driving customer impact — and you want to lead a team in a post-sales motion that’s being redefined for the AI era — this is the role WHAT YOU’LL ACHIEVE - Own the Net Revenue Growth performance of your team’s book of business, accountable for both headline outcomes and the quality of execution that drives workflow adoption, value realization, renewal readiness, and expansion. - Coach OAs on the OA builder motion: AI Transformation Plans, build-beside workshops, value reviews, use-case consultations, and renewal processes. - Build and run the operating cadence for the team: metrics reviews, account support sessions, adoption and renewal-risk reviews, call coaching against the OA quality rubric, and forecast calls with senior leadership. - Hire, onboard, and certify new OAs to the GTM builder motion, driving readiness from ramp through consistent execution and managing performance with clarity when expectations are not met. - Partner closely with Solutions Consultant managers and leaders on strategy for expansion and renewal across shared accounts, ensuring clear ownership for flat and at-risk renewals. - Partner with Services leadership to identify complex implementation needs early, create clear handoffs, and ensure Services delivery accelerates workflow adoption and measurable value. - Set the standard for product, AI, and workflow fluency across the team so OAs can help customers navigate new ways of working and build durable systems in Notion. - Represent your team or region in leadership forums with clear signal on what's working, what needs investment, and where execution is breaking down - Uphold excellence by coaching to the global OA methodology, quality rubric, and activity KPIs. SKILLS YOU’LL NEED TO BRING - Frontline management experience leading customer-facing GTM teams in B2B software, ideally across Customer Success, Solutions Consulting, Technical Account Management, Professional Services, Account Management, or post-sales strategy. - Direct experience coaching teams through customer discovery, workflow design, adoption planning, value realization, renewals, expansion, or technical/workflow implementation. - Strong coaching orientation: you can review a customer call, account plan, mutual success plan, or executive value narrative and identify specifically what needs to change — not just whether the outcome was good, but why and how to improve it. - Commercial instincts at the team level: able to read account health, renewal risk, adoption depth, expansion potential, and customer sentiment, then drive urgency without micromanaging every account. - Deep customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical adoption and implementation plans. - Experience operating in a shared account ownership model with Sales, Solutions, Services, Support, or Implementation teams. - Operational rigor: you know how to build inspection cadences, coaching rituals, performance standards, and accountability systems that improve execution across a team. - Ability to develop talent from onboarding through consistent performance, including hiring to profile, setting clear expectations, coaching skill gaps, and managing performance with clarity. - Executive communication skills: able to synthesize account patterns, customer risks, team performance, and cross-functional asks into clear signal for leadership. - Technical fluency and presence as a trusted advisor. You do not need to build every workflow yourself, but you should be able to understand Notion systems, coach workflow design, and help your team troubleshoot adoption blockers. - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems. - You don’t need to be an AI expert, but you’re curious, hands-on, and willing to adopt AI tools to work smarter, coach better, and help customers deliver better outcomes. NICE TO HAVES - Experience managing in a consumption, usage-based, or product-led business where adoption signals matter as much as renewal or expansion outcomes. - Track record building high-performing frontline teams from an early stage: hiring to profile, structured onboarding, certification, coaching, and performance management. - Experience leading teams through GTM motion changes, coverage-model shifts, or evolving commercial ownership. - Experience working with flat, at-risk, or complex renewal accounts and helping teams return customers to a clear value path. - Experience partnering closely with Solutions Consulting, Sales, Services, or Implementation teams in a shared customer lifecycle model. - Familiarity with AI transformation, workflow automation, agents, or collaboration/work management software. A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. The team / how they connect You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions. The team is currently working on / Initially, you will focus on - Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP. - Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite. - Developing reusable automation patterns and shared templates to be used by the business - Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows. Where and how you can work At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding. Here are some of the things we are looking for - You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure. - Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini. - You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks. - A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront. - You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs. - You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication. Compensation Philosophy 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 paycheque. 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 base salary range for this role in Canada is $240,000 - $260,000 CAD. Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include: - Variable Pay: Eligibility commissions or equity based on role and performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. - Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content Represent the team's work in external communications including model cards, blog posts, and policy documents Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Experience managing a technical team, including hiring, coaching, and performance management A record of setting technical direction for a team and making prioritization calls under uncertainty Proficiency in Python, with a background in scientific programming and data analysis A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field Preferred qualifications 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Experience leading complex technical projects across multiple stakeholder groups The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hyderabad, India Location: India (100% Remote / Flexible) Contract Type: Full-Time / Enterprise Project Engagement About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a high-caliber Forward Deployment Engineer (FDE) to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI. Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership. Key Responsibilities End-to-End AI Application Prototyping & Delivery Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement. Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback. Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products. Agentic Systems & LLM Engineering Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models). Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation. Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline. Enterprise Data & Regulated Integration Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP). Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs. Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one. Strategic Stakeholder Advisory & Pattern Extraction Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps. Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment. Requirements Experience & Mindset Experience: 5+ years of hands-on software development and full-stack AI application deployment. Product-Shaped Builder: Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4. Ambiguity Tolerance: Proven ability to navigate vague business problems without predefined specifications. Stakeholder Communication: Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts. Must-Have Technical Stack Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React). AI Platforms: Direct hands-on experience with Databricks Genie . LLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses. Cloud & DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.). Domain Competency (Finance Focus) Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital). Nice-to-Haves & Certifications Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic). Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance. Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials). Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102). What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems. Not a non-coding Architect: This is a 100% hands-on builder role. Not a pure Backend or MLOps Engineer: You must be comfortable owning the user-facing interface and direct business interaction.