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Location: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Diep Nguyen, VP of Finance here at Customer.io , and I'm looking for a Director, GTM Finance to own our go-to-market P&L end-to-end as we scale from $100M+ ARR today to $1B+ ARR in the future. We're hiring for strategic finance horsepower first: someone who builds models from a blank page, challenges assumptions, and earns trust with senior executives. Deep GTM fluency matters just as much — but for a strong finance generalist, that business partnership often shows up in the work rather than the title. You'll own our GTM P&L spanning Sales, Marketing, and Customer Success, and build the team behind it. We're an AI-forward company: this role requires someone energized by using AI to reinvent how finance operates, not someone who merely tolerates the tools we hand them. What we value Financial rigor over title-matching — we care more about how you've built and defended models than whether "GTM Finance" was ever your title. AI as genuine practice, not a buzzword — we want concrete stories of AI changing an outcome, not familiarity with the tools. Ownership from day one — you'll build and lead a team, not just execute analysis handed to you. Directness with data — you challenge top-down assumptions with account-level evidence, even in uncomfortable conversations. What you’ll do Own the GTM P&L end-to-end — revenue, gross margin, and opex across Sales, Marketing, and Customer Success — not just a spend-efficiency lens. Drive unit economics and the growth funnel model — CAC, LTV/CAC, payback, magic number, and cohort/retention analysis across self-serve and sales-assisted motions. Own the ARR roll-forward, bookings, and revenue forecasting — auditable, reconcilable, and independently stress-tested against top-down assumptions. Partner with Sales and RevOps on capacity planning, deal economics, and pricing — protecting margin and ARR quality without slowing deal velocity. Build and own the monthly/quarterly GTM reporting package for the exec team and Board, with variance analysis that explains root cause. Champion AI-enabled finance workflows and build the GTM finance team as Customer.io scales past $250M+ ARR. What we're looking for 10+ years in FP&A, strategic finance, or related roles at complex, scaled orgs; a first-principles modeler who builds from a blank page rather than inheriting assumptions Deep GTM business-partnering experience with Sales, Marketing, or Customer Success — regardless of whether "GTM Finance" was ever the title Comfortable with subscription/SaaS metrics (ARR, NRR, CAC, LTV) or able to get there fast Concrete, demonstrated track record driving AI adoption in finance workflows — not just familiarity with the tools Proven people leader — has managed and developed finance professionals Strong Excel skills (with experience using Snowflake a plus) and experience with planning/GTM systems (NetSuite, Salesforce, Gong, Drivetrain) Bachelor's degree in Finance, Accounting, Economics, or related field; MBA a plus Compensation & Benefits We believe in transparency. Starting salary for this role is $200K–$255K USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Recruiter Screen (30 min) Hiring Manager Screen (45 min) Two Cross-functional conversations with team members (30 min each) Case study + Case Review Panel with team (45 min) All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As part of the Fraud Strategy team, your mandate is to minimize fraud losses from account takeover (ATO) and scams that target OnePay customers while optimizing the customer experience within Authentication risk flows, including; device login risk, profile management, account recovery, passcode reset, mobile wallet provisioning, etc. You will be responsible for supporting the continued build out and maintenance of a best-in-class fraud platform, core capabilities, and risk strategies – including integration of agentic AI capabilities into risk decision flows. You will work closely with product, platform, data, technology, and operations teams to continually advance fraud controls and related infrastructure. This role is responsible for: - Developing and maintaining data-driven strategies to prevent fraud loss from ATO, scams, and social engineering schemes that target OnePay customers - Creating and executing the authentication roadmap for OnePay covering analytics, tools, capabilities, and operational processes - Conducting independent data analytics of portfolio behavior to identify new or shifting fraud trends using relevant tooling (Databricks - SQL, Python) - Overseeing the authentication fraud monitoring/alerting logic, ensuring that all critical loss vectors are covered and alerts are calibrated to be relevant & timely - Supporting the build out and integration of AI capabilities directly within risk workflows to automate processes, accelerate execution, and improve fraud prevention & customer experience outcomes - Maintaining and enhancing network/graph analysis strategies designed to capture collusive fraud rings while minimizing false positive impact to good customers - Working closely with and supporting IT, Operations, Product, and AML teams to investigate and triage authentication fraud incidents - Staying abreast of the latest fraud prevention industry developments & trends, including emerging fraudster capabilities & tactics and methods to combat them, as the SME for authentication fraud at OnePay YOU BRING - 5+ years of experience directly managing authentication risk strategies like device & login risk, account recovery, profile management (e.g., phone, email, address updates), etc. - Highly analytical skillset with an ability to synthesize vast amounts of data into meaningful insights - Deep domain knowledge of the types of tools & tactics used by bad actors to conduct targeted or large-scale authentication fraud attacks, and experience in developing best-in-class solutions to mitigate these threats - Demonstrated ability building with AI tools—including LLMs, prompt engineering, workflow automation, or advanced analytics platforms—to improve fraud strategy & detection, eliminate manual effort, and drive measurable improvement to fraud loss, operational efficiency, and customer experience within the fraud lifecycle - Proficiency in SQL & Python - Excellent communication skills with the ability to articulate complex issues into clear, simple language for a diverse audience - An act-like-an-owner mentality. We have a strong bias toward taking action What it’s like working @ One - Competitive cash - Benefits effective on day one - Early access to a high potential, high growth fintech - Generous stock option packages in an early-stage startup - Remote friendly (anywhere in the US) and office friendly - you pick the schedule - Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave - 401(k) plan with match Leveling Philosophy In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at One. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within OnePay. Inclusion and Belonging To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact at talent@one.app. STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration. Responsibilities: Conduct market research worldwide upon request, analyze results and reflect them in TA reports Collect information about hiring needs from stakeholders, document it, suggest ways of building of healthy interview process based on these needs. Planning search strategy Collaborate with stakeholders and hiring managers on each stage of hiring process, provide guidance and educate Passive search: administering job postings, advertise company's roles in different channels, process referrals Active search: identifying matching candidates and reaching out to them using professional networks, direct contact data, professional chats, groups, etc. Create lists with feedback criterias on different stages of hiring process (pre-screen, Cultural Fit, Technical interview etc) Conducting candidate pre-screens Provide guidance, updates and constant feedback to each candidate and applicant who goes through a hiring process (within 1 week) Organizing interviews for candidates and hiring team members Interview candidates, screen their skills and identify competencies needed for a specified position or team Administering ATS Lever, keeping track on logging everything on time, so every hiring team member timely updated it Facilitate preparations for candidate's onboarding Owning recruiting process, improving it and keeping it responding to team's current needs Analyzing own productivity using recruiting metrics and OKRs, building reports based on them Train hiring managers and interviewers on best interview practices and approaches. Build cross-department interviewing foundation, maintain and scale it Participate in company's external brand development, being the company's ambassador using different professional platforms and channels Organize reference check Work effectively with talent pool and snoozed candidates Requirements: 5+ years of technical recruiting experience (Crypto, FinTech, igaming) Up-to-date knowledge of recruitment tools, databases, and technology Knowledge of recruitment process full-cycle, experience of maintaining and scaling it Skills to partner with business and technology experts to create the most efficient interview process and candidate experience Knowledge of the IT sphere specifics: understanding of different business models, professional functions and titles, programming languages/technologies/frameworks/libraries/etc., understanding of the software development basic lifecycle Industry knowledge is a big advantage: knowledge cryptocurrencies market, market trends, risks and market players Proficiency in interviewing: behavioral interview models, open questions, competency-based approach. Ability to evaluate competencies Knowledge of common recruiting metrics. Experience applying them on practice Strong business acumen and results-oriented mindset Flawless communication skills - respectful yet clear and straight-forward. Ability to work with escalations and process negative feedback Ability to switch between tasks, set priorities, and effectively deal with a variety of information sources Analytical skills, ability to search for information, critical thinking Knowledge of international laws of onboarding is an advantage Fluent Russian Good level of spoken and written English (B2+) Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: USA Workplace: remote JTX is our trading app, and it runs on the fastest market infrastructure on Solana, which we also built. What nobody has done yet is make that speed something a trader can feel. That is this job. JTX is live. Two frontend engineers built it to this point and you would be the third. The work now is one to a hundred: harden what exists, make it hold up under real volume, expand onto mobile, and raise the ceiling on every screen a trader touches. We're a small team with product-market fit. That means: High ownership: every team member drives significant technical decisions and shapes our product roadmap. Fast execution: we ship rapidly and iterate based on real-world feedback. Progress, not motion. High quality bar: the details are the product. We don't trade them for speed. About the Position You'll own the surface of JTX across web and mobile: order entry, market data, charts, positions, execution quality, onboarding, and the wallet flows underneath all of it. The role suits a generalist with strong taste. You'll partner with design, product, and the infrastructure team, and you'll make architectural calls that stick for years. If you've spent time thinking about how markets actually work on Solana and want to build the product layer on top of that, this is the role. Stack: React 19 + TypeScript on Next.js. Jotai + TanStack Query. Tailwind with a token-based design system. TradingView Advanced Charts on our own datafeed. Privy wallets. WebSockets to our engine. Web ships as a PWA; native mobile apps are in development. What's Hard Right Now Data freshness: several live WebSocket streams (order book, trades, candles, stats) feed many panels at once; keeping them fast, consistent with each other, and honest through async gaps (stale quotes, pending fills) Performance: a data-dense terminal that stays smooth under constant streaming updates, including on mid-range hardware Security: wallet signing, session auth, strict CSP, hardened supply chain Shipping volume: three engineers own the entire surface of a live exchange; the backlog is bigger than the team, so throughput and prioritization are part of the job Keeping product behavior and design language consistent between web and mobile while being very attentive to nuances of each mobile platform Making execution quality something a trader can see in a glance instead of something they take on faith What You'll Do Build and own the JTX client across web and mobile Ship real-time trading interfaces: order books, charts, order entry, positions, fill and execution visibility Hit tight latency and render budgets against streaming market data, and decide what belongs on the client versus the server Build wallet and signing flows, including self-custodial and embedded wallet onboarding Own the shared component, state, and data layers the rest of the product team builds on Make architectural decisions that hold as the codebase, the team, and the user base grow by an order of magnitude Ship fast, watch real users, iterate What We're Looking For Attention to detail bordering on obsessive. You can look at a screen and say what is wrong with it, and it bothers you until it's fixed. 5+ years building production frontend, including something real-time, data dense, or financial Deep React and TypeScript. You can explain why a component re-rendered and then fix it. Mobile experience: React Native, Expo, or native iOS and Android Strong fundamentals: browser performance, memory, websockets, network behavior under load Security-first instincts around signing flows, key handling, and what should never touch a log Comfortable in a codebase that is already live. You can refactor and clean up without stopping shipping. Able to weigh business and engineering tradeoffs, and to explain complicated things simply Relevant Background If you have experience in any of the following, you may be a good fit: Trading terminals, exchange or brokerage frontends Consumer fintech apps at scale Charting, time series, or high-frequency data visualization (canvas, WebGL) Solana or EVM app development, wallet integrations, transaction signing Maintaining a public TypeScript library or design system

Location: Americas Remote People Partner Hello, I’m Danielle, Senior Director, People Experience at Customer.io ! We're expanding our people team in the United States and seeking a People Partner to support our global team in a fast-paced, innovative environment. This is a great fit for an HR professional with a few years of experience who's ready to deepen their impact as a partner to the business. The People Partners at Customer.io are advocates for our people, leveraging their skills in data analytics, change management, and industry knowledge. They use these skills to enhance Customer.io ’s transformation, agility, and efficiency, delivering meaningful outcomes for both our team members and the business. You'll work alongside a cross-functional team to support talent management, development, retention, and organizational effectiveness. Strong communication, critical thinking, and a foundation in workforce planning will set you up for success. If you're passionate about contributing to a supportive, high-performing culture, we'd love for you to join our collaborative team. About Customer.io Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Some things you'll do: Support business alignment: Partner with departmental leaders to understand business needs and help develop plans that build organizational capabilities and support growth. Performance management: Own and elevate our review cycles end to end — lead the annual and bi-annual processes, guide calibration and compensation decisions, and coach managers to build accountability and develop talent across the team. Employee relations: Guide managers and employees through day-to-day questions and concerns with fairness and sound judgment, fostering a positive, respectful work environment. Organizational development: Help assess team structures and work with leaders to identify areas for improvement and put changes into practice. Change management support: Support organizational change efforts and help build change-readiness across teams. Leadership support: Build strong working relationships with managers to understand their needs in the context of business goals, and provide day-to-day partnership and guidance. Data analysis: Review and analyze People metrics and analytics (including employee experience and lifecycle data) to spot trends and support informed decisions. Employee engagement: Work with leaders to roll out engagement initiatives. People programs support: Help develop and implement people programs that foster employee growth and development. People team support: Be an active member of the People Experience team, contributing to strong HR capabilities. About you: You're a self-starter with strong communication and presentation skills. You've got a knack for creative problem solving and avoid a one-size-fits-all approach. You're a champion for change, supporting leaders and employees through change initiatives. You care about employee engagement, team members' well-being, and DEIB, and are eager to help build programs that support them. You understand the importance of tailoring programs, strategies, and suggestions to fit different needs. You're agile and adaptable, with a growth mindset for learning new skills. What we're looking for: HR Experience: 5+ years of progressive HR/People experience, ideally as an HRBP or People Partner supporting multiple teams or functions. You bring real depth across organizational design, change management, performance management, DEIB, culture championing, coaching and development, and people programs such as rewards and recognition. A strong foundation in People data and analytics — using metrics to diagnose issues and drive decisions — is especially important for this role. Business Acumen: Ability to understand performance objectives that drive business outcomes, and to leverage data and analytics to support informed business decisions. Experience with Management: Experience partnering with leaders and demonstrating influence and accountability in support of the people agenda. Global Perspective: Ability to establish trust, fairness, and credibility with team members, managers, and cross-functional partners in a global environment. Collaborative Problem Solver: Ability to work seamlessly with key partners across the People Team, including Recruiting, People Operations, and Total Rewards. Compensation & Benefits We believe in transparency. We are offering a compensation package between $100k - $130k USD, subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute video call with a Recruiter 45-minute video call with the Hiring Manager 45-minute video call with the Business Leader, Compensation Leader and 2 People Partner Team Members Take-Home Assignment + 60-minute Panel Presentation with the People Team Leadership All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We are passionate about our core values of Empathy, Transparency, Responsibility, and Awkwardness and are looking for new coworkers to share and build that passion!

Location: Lisbon, Portugal JoomPulse is an AI analytics tool for Mercado Livre and Shopee sellers, providing insights into the most profitable products and fastest-growing categories — helping sellers boost their profits with data-driven decisions. JoomPulse is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies that was founded in 2016 in Latvia. Joom Group also includes the following businesses: Joom, a global cross-border marketplace; JoomPro, the first and only end-to-end cross-border B2B marketplace; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. Currently, we are looking for an Senior Product Analyst. The JoomPulse Product Analyst owns the three things that decide whether the product grows: The quality of the data on the platform The product analytics that tell us whether new features and new data actually move conversion and retention The market analysis that turns our marketplace data into insight for large corporate data clients and for the press This person makes sure we can trust our own data, makes sure every significant feature and data release is measured against its real effect on conversion and retention, and packages our marketplace data into external-facing market analysis (category trends, pricing, market dynamics) that lands with corporate clients and journalists. Responsibilities Transform imperfect data into clear, actionable insights that drive decisions Conduct product research (identify growth opportunities, answer high-level questions, and formulate hypotheses for the team) Analyze user behavior patterns and independently uncover insights that are meaningful for the product Influence goal setting and project prioritization within the team based on data Develop self-service capabilities in the domain (structure data to make it easily usable by AI tools, and automate routine analysis so the team can independently answer basic questions) Identifying growth opportunities for the product, analysis and sales forecasting, including identifying seasonality and trends Requirements 5+ years of experience in data analysis Ability to write complex SQL queries (complex joins, window functions, CTEs, query optimization) Product-analytics depth (retention (paid & usage), cohort analysis, funnels, activation, ARPU/LTV, engagement) Knowledge of mathematical statistics and practical experience applying it Hands-on with a cloud warehouse (BigQuery or equivalent) BI and data storytelling (builds and maintains dashboards (Metabase / Looker Studio or equivalent)) Skill in selecting appropriate data evaluation methods: analytics, research, or using external data Ability to tackle complex problems in situations with incomplete data Attention to detail and ability to see tasks through to completion Preferred Built a data-quality or data-observability system from scratch and owned it Owned product analytics on a data / analytics product specifically Python (pandas / numpy) for analysis and automation and PySpark / big-data processing for the more technical work B2B SaaS experience Experience in marketplace analytics and deep understanding of marketplaces base metrics and ranking algorithms We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year, and 22 days of paid annual leave Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work B efore applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: Lithuania Workplace: Remote ABOUT ENEBA   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    ABOUT THE TEAM We’re the Eneba Engineering team. We bring together product-minded engineers, tech leads, and managers who are passionate about building and maintaining a stable, scalable marketplace for gamers. Our mission is to keep Eneba running smoothly while enabling steady, iterative growth. We focus on reliability, clear ownership, and pragmatic engineering that serves real business needs. We're looking for a Head of Engineering to own Eneba's engineering organization day to day. You'll drive technical decisions, people structure, process evolution, and AI adoption across an org of 70+ engineers spanning Software Engineering, Mobile, Security, and IT Admin. You'll report directly to our VP of Technology and work in close partnership with our Director of Product. What you'll own in year one - Own the overall stability, reliability, and efficiency of Eneba’s core technology, ensuring the platform runs smoothly while continuing to evolve iteratively over time. - Lead, mentor, and support a lean core of engineering managers and tech leads fostering a culture of accountability, knowledge sharing, and strong technical ownership. - Maintain and continuously improve engineering practices, processes, and documentation so that teams can onboard quickly, rotate between projects, and keep the “machine” well oiled despite ongoing growth. - Collaborate closely with product, data, and other stakeholders to translate business needs into clear technical priorities that optimize for long-term maintainability over constant reinvention. - Anticipate scaling and stability risks (e.g., headcount changes, new projects, or shifts in focus) and proactively prepare the platform, architecture, and teams to handle them with minimal disruption. - Ensure a high bar for code quality, security, and operational excellence, while keeping the organization lean and efficient rather than growing the team unnecessarily. - Create an environment where Eneba can safely experiment with new practices and technologies that improve efficiency or enable future projects when needed, without compromising the stability of the existing platform. - AI adoption: setting the culture, tooling, and behavior modeling for AI/LLM usage across the engineering organisation Requirements - 8+ years of engineering experience, with 2+ years as a Head of Engineering, VP Engineering, or equivalent senior engineering leadership role - Proven experience leading engineering organisations of 40+ engineers in product-focused tech companies, operating as a manager of managers with tech leads and engineering managers reporting into you across multiple disciplines (backend, frontend, mobile) - Strong hands-on software engineering background earlier in your career, with the ability to make architecture and system design decisions across the stack and earn the trust of senior engineers independently - Track record of scaling engineering teams in startup or high-growth environments, with a demonstrated ability to move fast, make decisions without heavy approval chains, and operate in ambiguity - Experience working in consumer-facing product companies (marketplace, e-commerce, gaming, consumer fintech, or similar) - Genuine enthusiasm for people leadership at scale — you've built and coached engineering managers and tech leads over multiple years, developed talent, and handled underperformance, restructures, and difficult conversations directly - Active user of AI/LLM tools in your own work, with demonstrated experience driving adoption within your engineering team — including a clear point of view on trade-offs around cost, quality, and use cases - Demonstrated ability to run stable, scalable platforms with a focus on reliability, predictability, and incremental improvement over time - Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing engineering in executive-level and cross-functional discussions - Comfortable operating without rigid long-term roadmaps; able to bring judgment, structure, and continuity while preparing the organisation for likely challenges - Experience working in multi-product or multi-project organisations is a strong plus - Based in Lithuania or willing to travel regularly to our Kaunas headquarters, particularly in the first three months - Fluent English (business proficiency required)   What it’s like to work at Eneba   - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product.  - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English   *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Remote, Global 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 THIS ROLE We’re hiring experienced performance engineers to make performance measurement at Supabase rigorous, repeatable, and actionable by product teams. This role owns the benchmarking and profiling systems we use to detect regressions, explain performance changes, and publish credible numbers for customers and the market. You’ll build the tooling and the methodology and make it easy for product teams to use it correctly. You’d join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There’s no legacy process to inherit — you’ll help define how we measure and communicate performance metrics at Supabase. WHAT YOU’LL DO - Build and evolve benchmarking, profiling, and load-testing tooling (cloud, database, and end-to-end). - Define benchmark suites and reference workloads that reflect real customer behavior (and evolve them as the products change). - Establish performance baselines and regression gates across products (variance tracking, environment control, and detection of changes). - Build mechanisms that turn benchmark results into action: triage workflows, owner routing, and clear, reproducible reports. - Partner closely with database teams (e.g. Multigres, OrioleDB) to identify bottlenecks and land concrete performance improvements. - Enable the company to publish credible, repeatable performance numbers for customers and the market. - Help teams self-serve performance testing and make performance a first-class engineering concern. PROBLEMS YOU MIGHT WORK ON - Build our continuous benchmarking infrastructure so product teams can spot performance regressions early. Ideally, teams can run benchmarks directly on PRs or locally while developing a feature. - Analyze and eliminate issues with load generators, workloads or benchmark environments to ensure that benchmarks are reliable indicators for actual product performance. - Build regression triage tooling that pinpoints what changed (diffing, profiles/traces, query-level attribution). - Help product teams so they can analyze the root cause of performance regressions in benchmark environments themselves. WHAT WE’RE LOOKING FOR - Deep experience in performance engineering, benchmarking, and profiling of complex distributed systems. Specifically, you have owned benchmarking systems where reproducibility and controlling variance mattered. - Strong systems intuition (databases, storage, networking, cloud infrastructure). - Comfortable working across product, infra, and database teams. - Pragmatic, tooling-oriented mindset with strong communication skills. - Depth on at least one end of that stack: Linux kernel internals (virtual memory, scheduling, networking, IO) or database internals (query planning, storage engines, buffer and WAL management) 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: Remote, Global 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're hiring experienced performance engineers to find and land performance wins across the Supabase stack — from the query optimiser to block device level, and across the network paths and cloud infrastructure that connect our distributed platform. This is a performance delivery role: real, measured improvements to our database, platform, and APIs as we scale toward enterprise and platform-grade workloads. The methodologies you develop and tooling you build exist to multiply that delivery. You'd join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There's no legacy process to inherit — you'll help define how performance engineering works at Supabase. WHAT YOU'LL DO - Find bottlenecks in live production systems and characterize them precisely enough that the owning team can act on them without you in the room. - Partner closely with database teams (e.g. Multigres, OrioleDB) and infra teams to land concrete performance improvements. - Build, communicate, and evolve performance methodologies and tooling that turn live production data into actionable insight. - Partner with the observability team to capture the right signals and establish a unified view of platform performance (latency, throughput, tail behavior) across products. - Help teams self-serve performance analysis and make performance a first-class engineering concern. PROBLEMS YOU MIGHT WORK ON - Tune the kernel's paging behavior to production workloads - Reduce memory overhead in OrioleDB and Multigres - Identify and eliminate sources of latency spikes from application to kernel level - Identify scalability bottlenecks across the entire stack and work the appropriate teams in Supabase and the wider community to resolve them WHAT WE'RE LOOKING FOR - Deep experience in performance engineering, specifically performance analysis of complex distributed systems. - You can walk the whole stack: follow a tail-latency problem from the query optimizer through the syscall boundary to the IO scheduler — or across pooler hops, network paths, and availability zones — reading profiles and traces at every layer. - Depth on at least one end of that stack: Linux kernel internals (virtual memory, scheduling, networking, IO) or database internals (query planning, storage engines, buffer and WAL management) - Strong working knowledge of networking and cloud infrastructure performance: TCP behavior under load, network virtualization overhead, and the performance characteristics of AWS primitives (EBS throughput and IOPS, instance network limits, placement groups, cross-AZ latency). - Proven ability to turn performance insights into real product and architecture improvements — including getting teams you don't belong to to prioritize and ship the fix. - Strong written communication: your problem characterisations are precise, reproducible, and compelling on their own. - Pragmatic, tooling-oriented mindset; comfort working across product, infra, and database teams. 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: Limassol, Cyprus Workplace: on-site The Team Lead is responsible for leading a cross-functional engineering team with a focus on delivering operational excellence, fostering team growth, and aligning delivery efforts with business objectives. This is a foundational leadership role that ensures team effectiveness through strategic planning, performance management, and strong collaboration with technical and business stakeholders. The Team Lead acts as a force multiplier, enabling individuals and the team to succeed. Job Responsibilities Team Operations & Performance: Organize and manage the daily operations of the team, including workload planning and delivery execution. Facilitate key team rituals such as sprint plannings, stand-ups, retrospectives, and grooming sessions. Act as the primary resolver of team-level blockers and escalate issues when appropriate. Track key performance metrics and ensure alignment with business expectations. People Management & Development: Lead recruitment efforts in collaboration with the hiring team; participate in interviews and decision-making. Own onboarding and offboarding processes to ensure smooth transitions. Set clear goals for team members and conduct regular one-on-one meetings to discuss performance, growth, and well-being. Drive motivation and engagement by fostering a positive team culture and identifying risks of burnout. Develop and review individual career plans; provide timely and constructive feedback. Conduct performance reviews and participate in compensation and promotion discussions. Planning & Prioritization: Oversee task decomposition and estimation. Distribute and monitor progress on tasks, ensuring alignment with project goals and team capabilities. Balance urgent needs with planned initiatives and drive prioritization discussions with stakeholders. Manage sprint priorities and ensure team members understand focus areas. Cross-Functional Collaboration: Act as a central point of contact for product managers, project managers, and other team leads. Coordinate cross-team tasks and dependencies to reduce delivery friction. Communicate breaking changes and key updates to relevant teams in a timely manner. Foster transparency and efficiency in cross-team workflows. Risk Management: Monitor and mitigate team-level risks including bus factor, knowledge silos, and delivery blockers. Proactively address risks related to team structure (e.g., attrition, promotions, reassignments). Collaborate with Technical Leads to identify and plan for technical risks and maintenance efforts. Provide input into workforce planning and hiring priorities. Process & Continuous Improvement: Track and analyze team-level and product-related metrics; define and maintain baselines. Challenge the validity and usefulness of existing metrics and propose improvements. Implement and adapt new team processes, assess adoption, and collect feedback to iterate. Pilot process innovations at the team level and support broader adoption if successful. You’ll thrive here if you have In general: 6+ years in software engineering, with at least 2 years in a leadership or management role. Experience leading cross-functional teams (engineers, QA, product/design if applicable). Proven success in delivering projects on time and aligned with business goals. Familiarity with agile methodologies (Scrum/Kanban), ability to adapt processes. Prior involvement in recruitment, onboarding, and performance reviews. Hard Skills: Strong understanding of the software development lifecycle, architecture, and engineering best practices. Ability to decompose tasks, estimate workload, prioritize effectively, and track progress. Experience defining, tracking, and improving delivery, quality, and cycle time metrics. Ability to identify delivery, knowledge, and people-related risks, and plan mitigation strategies. Experience managing dependencies, communicating changes, and ensuring alignment across stakeholders. Ability to implement new processes, measure adoption, and iterate based on feedback. Soft Skills: Ability to foster a positive culture, maintain morale, and prevent burnout. Skilled in goal-setting, career planning, coaching, and giving constructive feedback. Able to mediate disputes, handle underperformance, and maintain productive dynamics. Strong communication with both technical and non-technical stakeholders. Balances immediate delivery needs with long-term improvements and business objectives. Comfortable adjusting processes, priorities, and focus in changing environments. Must-have Behaviors: Takes ownership of delivery and team health. Proactive in identifying problems before they escalate. Acts as a force multiplier, enabling others rather than micromanaging. Challenges assumptions (processes, metrics, plans) constructively. Demonstrates transparency and fairness in decisions around performance, compensation, and promotions. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 min). First Interview: Team & Process Block (60 min). Second Interview: Business & Technical Block (60 min). Possibly can be arranged a Final cultural fit interview / Q&A (60 min).

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position We are seeking a highly experienced Supply Chain Subject Matter Expert to support an anticipated Department of State program focused on humanitarian assistance activities. The Supply Chain Subject Matter Expert will provide technical expertise to support monitoring, evaluation, third-party monitoring (TPM), assessments, and verification activities relating to humanitarian supply chains. Working closely with project leadership and technical teams, the Supply Chain SME will design and implement methodologies to assess supply chain performance, commodity accountability, logistics systems, warehousing, distribution networks, and last-mile delivery in complex and crisis-affected environments. This position is based in the Washington, D.C. metropolitan area and will require international travel. This role is contingent upon award. Responsibilities Provide technical leadership on humanitarian supply chain assessments, monitoring activities, and third-party verification assignments. Design methodologies and tools to assess procurement, warehousing, transportation, inventory management, commodity tracking, distribution systems, and last-mile delivery. Evaluate the efficiency, effectiveness, integrity, and accountability of humanitarian supply chains operating in complex and high-risk environments. Support financial and commodity verification activities to ensure commodities, equipment, and humanitarian assistance reach intended beneficiaries. Assess risks relating to diversion, fraud, waste, abuse, inventory losses, and supply chain vulnerabilities, and recommend mitigation measures. Review logistics information systems, inventory controls, warehouse operations, transportation networks, and supply chain documentation for compliance with client requirements and international best practices. Provide technical input into monitoring, evaluation, special studies, rapid assessments, and operational reviews involving humanitarian logistics and supply chain performance. Develop technical reports, findings, recommendations, and presentations for U.S. Government clients. Mentor field teams and provide technical guidance on supply chain monitoring methodologies, quality assurance, and data interpretation. Collaborate with MEL, TPM, financial verification, and sectoral specialists to produce integrated analytical products and high-quality deliverables. Minimum Qualifications Minimum 10 years of experience supporting humanitarian logistics, supply chain management, procurement oversight, commodity accountability, or related functions is REQUIRED. Prior experience with USAID's Bureau for Humanitarian Assistance (BHA), the Department of State's Bureau for Population, Refugees, and Migration (PRM), the Department of State's Bureau for Disaster and Humanitarian Response (DHR), and/or any of their predecessor offices, within the past three (3) years is REQUIRED. Deep familiarity with delivery of U.S. federal humanitarian assistance, disaster response, stabilization, and/or similar crisis-oriented programming is REQUIRED. Demonstrated experience assessing or overseeing humanitarian supply chains, including procurement, warehousing, transportation, inventory management, distribution systems, and commodity tracking is REQUIRED. Experience conducting supply chain assessments, logistics audits, operational reviews, third-party monitoring, financial verification, or compliance reviews in humanitarian or development programs is REQUIRED. Experience operating in conflict, post-conflict, disaster, or other complex operating environments is REQUIRED. Familiarity with internationally recognized humanitarian logistics and supply chain standards and best practices (including those used by UN agencies, NGOs, and U.S. Government humanitarian programs). Strong analytical, report writing, and communication skills with demonstrated experience producing technical findings and recommendations for senior stakeholders. Bachelor's degree in Supply Chain Management, Logistics, Business Administration, International Development, Engineering, Public Administration, or a related field is REQUIRED. Preferred Qualifications Master's degree in Supply Chain Management, Logistics, Business Administration, International Development, Engineering, Public Administration, or a related field PREFERRED. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $97,200 — $165,600 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position We are seeking a highly experienced Program Director/Team Lead to lead implementation of an anticipated Department of State program focused on monitoring and evaluation of rapid foreign assistance programs in dynamic and fragile contexts. The Program Director/Team Lead will oversee the operations and performance of the field team(s) and supporting staff. They will be responsible for overall contract performance, reporting, and client satisfaction. This position is based in the Washington, D.C. metropolitan area and is contingent upon award. Responsibilities Serve as Dexis' primary point of contact with the COR and Department of State stakeholders, overseeing overall contract implementation, execution, delivery, quality, and client satisfaction Oversee the operations and performance of field team(s), supporting staff, subcontractors, and implementing partners Lead identification and shaping of MEL and TPM support for humanitarian assistance activities Lead development of task order concepts and technical approaches from identification of opportunity through capture through to submission, negotiation and inception. Contribute to successful bids through developing technical approaches, building resources and workplans, and contributing to budget development Negotiate successful task order proposals to contract Coordinate task order capture efforts across technical and operational teams Provide strategic oversight across activities to ensure alignment with client priorities Manage on-the-ground operational and logistics requirements, including coordination across dispersed field teams, partners, and complex operating environments Coordinate with U.S. Government stakeholders, multilateral organizations, UN agencies, OCHA, UNHCR, WFP, NGOs, and other humanitarian coordination actors as needed Maintain awareness of global humanitarian crises and programmatic needs Represent Dexis in client engagements, briefings, coordination meetings, and field-facing partner discussions Serve as a deeply relational, externally facing leader who builds trust with clients, partners, field teams, and local stakeholders Monitor performance, risks, client feedback, and operational issues, and make strategic prioritization decisions in dynamic environments Minimum Qualifications Minimum 10 years of experience managing U.S. Government programs . Minimum five (5) years of experience serving as a Project Director, Program Director, Task Order Manager, Chief of Party, Team Lead, or in an equivalent senior project leadership role managing complex projects with multiple teams working simultaneously on different activities . Deep familiarity with delivery of U.S. federal humanitarian assistance, disaster response, stabilization, and/or similar crisis-oriented programming . Experience supporting humanitarian assistance or crisis response programs . Minimum five (5) years of experience managing MEL and/or TPM activities in complex environments . Experience managing on-the-ground operations and logistics, dispersed field teams, and coordination with local, international, and implementing partners . Bachelor’s degree required; Master’s preferred Preferred Qualifications Prior experience with USAID’s Bureau for Humanitarian Assistance (BHA), the Department of State’s Bureau for Population, Refugees, and Migration (PRM), the Department of State’s Bureau of Disaster and Humanitarian Response, and/or any of their predecessor offices, within the past three (3) years . Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $118,000 — $193,200 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Tallinn, Estonia Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • A Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience. • Opportunities to learn and grow through our “ Employee Training & Development program”. • Stebby Sports Compensation or Confido Health Compensation. • Multiple events to bond with the team and the group. • Birthday and Loyalty benefits . What to expect from our recruitment process: Interview with HR Assessment task Interview with hiring managers Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Warsaw, Poland Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • A Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience. • Opportunities to learn and grow through our “ Employee Training & Development program”. • Hybrid Work Flexibility. • Multiple events to bond with the team and the group. • Birthday and Loyalty benefits . What to expect from our recruitment process: First interview with hiring managers or an HR call Psychometric test Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary  Bonuses to reward exceptional performance). • Opportunities to learn and grow through our “Employee Training & Development program”. • Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. • Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. • Participation in our welfare investment and savings plan through our Provident Fund Scheme. • Birthday and Loyalty benefits. • Collaboration with SportBenefit. What to expect from our recruitment process: First interview HR call Task Assessment Technical interview Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

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

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

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