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Обзор позиции: Ищем в команду сильного Senior Influencer Manager / KOL Lead с глубоким погружением в западную digital-культуру, который умеет осваивать крупные бюджеты и работать с топовыми зарубежными креаторами под ключ. Задачи: • Подбор и закуп зарубежных блогеров (US/EU, Tier-1) из вашей собственной актуальной базы под формат вертикального контента (Reels, Shorts, TikTok, X/Twitter); • Полный цикл организации интеграций — от первичного контакта и переговоров по стоимости до передачи сценариев, проведения выплат и контроля выкладки; • Управление рекламным бюджетом (спендом), выдерживание дедлайнов и отслеживание финальных метрик (ROI, охваты, конверсии); • Работа с профильными нишами проектов: Web3 / Crypto, AI, Tech, High-Yield / Affiliate. Требования: • Готовая и актуальная база зарубежных блогеров (US/EU/Global) во всех ключевых соцсетях в нишах Web3 / Crypto / AI; • Релевантный опыт в Web3 / Crypto — точное понимание продукта, терминологии, специфики аудитории и механик продвижения; • Опыт управления крупными бюджетами (Big Spend) — успешные кейсы освоения бюджетов от $100,000+ до $500,000+ с выполнением и перевыполнением плановых показателей (ROI / ROAS); • Подтвержденные кейсы — готовность показать примеры прошлых посевов, аналитику и результаты кампаний на бурж-рынке; • Языки — свободный рабочий английский для работы с блогерами плюс русский язык для оперативной коммуникации с нашей внутренней командой.

Location: Limassol, Cyprus Freedom24 is a CySEC-regulated stockbroker and part of Freedom Holding Corp, listed on Nasdaq. Clients trade over a million instruments across 15 exchanges through the platform. The Group is headquartered in Limassol and has been steadily opening offices across Europe, we have 10 offices in Europe, and now needs a single document management architecture that can actually support all of them. That's the mandate here. Someone is needed to sit down with a blank sheet of paper and figure out how a regulated European financial group should manage everything from contracts and corporate records to Board papers and client files, across Cyprus and every subsidiary. You'll report straight to the Chief Legal Officer and have full autonomy. The first six months are focused entirely on this: auditing where things stand today and designing the model the Group should move to. What comes after depends on what you find and build during that time, but this is very much a first chapter, not the whole story. To be clear: the current Document Management team is doing a good job running things day to day. Nothing here suggests otherwise. What's missing is the layer above that, the architecture the Company needs now that it's operating across this many countries, and building that layer is the job. Why this role exists The Group has outgrown a document management model shaped mainly around Legal's needs. As the Company expands across European subsidiaries, document management needs to become a structured, centralized, auditable discipline — not a set of local routines. That's the gap this role is built to close. What you'll do Audit the current landscape end-to-end: WSS / Prime Docs, DocuSign, approval routes, contract administration, electronic archives, original-document handling, and cross-entity workflows. Run a rigorous gap analysis — process, governance, systems, subsidiary integration, reporting, AI-readiness — and separate what should stay from what needs to change. Design the target operating model: centralized governance, document taxonomy, RACI and ownership, approval and e-signature principles, archive and access-rights framework. Assess whether to enhance, integrate, or replace current systems, and translate the future model into clear IT business requirements — including where AI can add real value (classification, extraction, search, key-date monitoring). Deliver a phased, board-ready implementation roadmap for Cyprus and the European subsidiaries, with a clear view on how the role itself should evolve afterward. What makes this role different Direct line to the CLO and real influence on how the Group operates, from day one. A true build-from-scratch mandate — you set the architecture, not just optimize a process. Strong signal for the next chapter of your career: proven potential to evolve into a permanent global document management leadership role. You'll work with the existing team, not around it. Their operational expertise is your foundation, not something to route around from a standing start. Requirements 10-12+ years in document management, records management, information governance, legal operations, CLM, or business process transformation. Experience in regulated financial services, fintech, banking, insurance, payments, or a comparable multinational, multi-jurisdictional group. Hands-on knowledge of EDMS and e-signature platforms, contract registers / CLM logic, electronic archives, metadata, and access-rights models. A track record of auditing complex cross-functional processes and turning findings into a practical, adoptable operating model. The stakeholder skills to lead a transformation with no direct authority and the tact to frame gaps as scale-driven, never as a verdict on the current team. A plus: experience with AI-enabled document intelligence, automation, or document classification tools. What this role is not Not a legal review role, a general legal-ops role, an IT developer role, or an administrative position. Not a replacement for the current Head of Document Management — this is a senior transformation and systems-design mandate that builds on top of the existing operation, not instead of it. Benefits Competitive salary package; Annual performance bonus; Relocation package and visa support for you and your family; Company-provided life insurance; The company covers 50% of the annual cost of the Healthy Plan, which the employee can arrange with any insurance company. 21 working days of paid vacation; Public holidays under applicable law are substituted by the Employer with alternative 12 days off. The Employee can have 1 (one) additional day off per month – 12 (twelve) additional days off per year. Up to 3 days per month’s sick leave without a medical report from a licensed general physician justifying such absence; Access to Freedom Cafe, our on-site café and social space offering freshly prepared coffee; Corporate Freedom GYM and yoga classes in the office; Team-building activities, corporate and sport events, football and volleyball clubs.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia Analytics sits at the center of how Arcadia turns complex healthcare data into better outcomes and smarter decisions. On the product side, that means building and owning the productized analytics engines — risk, medical economics, episodes-of-care, and more — that power Arcadia's platform company-wide, built once and delivered at scale across our entire customer base. On the Customer Insights side, that means going deep on a specific customer's specific problem: custom data models, bespoke dashboards, advisory work, and long-running embedded programs that don't fit a one-size-fits-all product. We describe Customer Insights' work as sitting between a platform and a plan — more customized and hands-on than an off-the-shelf reporting product, more flexible and embedded in the customer's actual decisions than a traditional outsourced consulting engagement. We're currently hiring for several closely related analyst roles across this broader Analytics organization — spanning ownership of one of Arcadia's core analytics engines, program-specific analytical development for a major state Medicaid risk-stratification initiative,  a ground-up registry build for a national quality organization, versatile project and retainer delivery across our health system and payer customers, and dedicated analytics support for a major national health plan's Medicaid program. All of these roles sit at the Senior Analyst or Lead Analyst level, combine technical excellence with real influence over analytic strategy and (for some placements) product direction, and shape how Arcadia and its customers use data to improve population health outcomes, reduce costs, and enable smarter healthcare decisions. The skills and experience below are characteristic across these roles as a set — not every requirement applies to every specific seat, and we don't expect any one candidate to bring all of it. We'll work with you during the interview process to identify which role is the best fit for your background and interests. What Success Looks Like In 3 months Ramp into your specific engagement's data model, technical stack, and stakeholder relationships — most Customer Insights engagement has real history and context to build into, not a blank slate Learn Arcadia's core analytics platform and toolset (QuickSight, Foundry, dbt, the AWS ecosystem) as used in your engagement Deliver your first piece of analytical work that demonstrates clear value to your engagement's stakeholders  In 6 months Own meaningful pieces of delivery independently — whether that's a program's analytical development, a portfolio of retainer/project work, or a dedicated account's dashboarding and reporting Be a credible, independent presence in front of the customers or partners tied to your engagement Contribute to at least one reusable analytical asset, framework, or automation that extends beyond your immediate engagement Begin taking on the ongoing health of your area, not just its delivery — standing up a backlog/tech-debt process, or growing into a broader backup role alongside your engagement's primary owner, depending on placement In 12 months      Be a recognized expert in your engagement area, trusted with its most complex or ambiguous work  Actively identify and pursue opportunities for automation, scalability, and reuse across your work Have grown into deeper ownership than where you started — full backup or co-owner on an account, sole steward of a program's tech-debt and backlog, or, for analytics-engine placements, the architect shaping that engine's roadmap toward being market-leading What You'll Be Doing Technical Analytical Delivery Translate ambiguous or partially-scoped business and clinical questions into a concrete, buildable data plan, then build the underlying data model, code, and analysis on top of it Develop and maintain analytical pipelines and reusable data assets using SQL, dbt, and Arcadia's core data platform (Foundry, AWS data lake environments) For analytics-engine placements: serve as the lead analytics strategist for at least one of Arcadia's productized analytics engines (e.g., risk, medical economics, episodes-of-care), owning it end-to-end while contributing to others For engagements involving predictive or risk models: design and build the models, partnering with a dedicated Data Science team on training and validation — a consultative relationship, not a daily modeling partnership Build dashboards, provider scorecards, registries, self-service reporting tools, benchmarking views, and other analytical deliverables (QuickSight and beyond) on top of that modeling work, as the engagement calls for it Maintain the analytical integrity and quality of your work, flagging issues before they reach a customer or partner; for senior placements, oversee analytic quality standards and rigor across engagements more broadly, not just your own Program and Project Management Manage delivery — whether that's a single program's delivery calendar and decision log, or a portfolio of concurrent projects across multiple customers — surfacing risks and tradeoffs before they become blocking issues Create client-facing materials — status decks, decision memos, technical explainers — tailored to a range of stakeholders, from highly technical counterparts to policy or business stakeholders with limited technical background Delegate routine or repeatable work to junior analysts as your engagement grows, and help cross-train others for coverage Lead cross-functional analytic initiatives that span multiple teams or engagements Customer and Cross-Functional Partnership Serve as a primary or supporting day-to-day contact for your engagement's customers or delivery partners, navigating scope and timeline conversations directly Partner with Customer Management, Growth, Product, Technical Operations, and/or Engineering — depending on placement — on account strategy, product direction, or analytics roadmap; for analytics-engine placements, partner closely with product and engineering to deliver Arcadia's analytics roadmap and contribute directly to product innovation Hold real authority at the boundaries where your work meets someone else's — able to require rework or hold a handoff that isn't ready (e.g., with a partner Data Science team), or push back on what's actually worth building with Customer Management, Growth, or Product , rather than defaulting to whatever's asked Act as an internal thought leader on your area of expertise, contributing to Arcadia's broader analytics strategy and reusable methodology — and, for some placements, an external one, representing Arcadia's analytic capabilities at customer meetings, industry conferences, and in publications Team Contribution Mentor and develop junior analysts, building organizational capacity beyond your own individual delivery Take ownership of your area's long-term health, not just its immediate delivery — a backlog/tech-debt log, a growing backup role on an account, or a roadmap for an analytics engine, depending on placement Apply AI tooling as a standard part of your workflow — analysis, QA, documentation — not an occasional accelerant Identify opportunities for automation, scalability, and reusability in analytical delivery, and help build those improvements out What You'll Bring Strong SQL and data modeling expertise — able to translate ambiguous business or clinical requirements into a concrete data plan, then build the underlying code and analysis on top of it Healthcare data experience — claims and/or clinical data, with value-based care familiarity Direct customer- or partner-facing experience — comfortable scoping and presenting without close oversight Comfortable adopting AI tooling as a standard part of an analytical workflow For Lead-level placement: demonstrated experience leading analytical work independently, managing multiple stakeholders, and mentoring less experienced analysts Note: our experience bar across these roles generally skews toward Lead-level expectations, even for some Senior Analyst placements — but not every skill listed here or below applies to every specific seat. Would Love For You To Have Experience with dbt-based analytics engine development (e.g., risk, medical economics, episodes-of-care) and partnering with product/engineering on roadmap Dashboarding experience — QuickSight or a comparable BI tool Enough quantitative/ML fluency to build models and hand them to a Data Science team for training Experience with medical economics, risk algorithms, quality data, and/or episodes-of-care analytics Statistical or biostatistics fluency — risk-adjustment, odds-ratio, or observed-to-expected benchmarking, etc. Direct experience with clinical quality or accreditation registries Prior experience with state Medicaid programs or similar large government health programs Prior experience in a project-based/retainer delivery model spanning multiple customers, rather than a single dedicated account Experience working within a prime contractor or partner structure on shared delivery Experience presenting analytic capabilities externally — customer meetings, industry conferences, publications Python for analysis and QA; familiarity with the AWS ecosystem, Jira, and Confluence Experience with data governance or data-product/monetization considerations Note: this list spans skills relevant to several different roles across the Analytics organization — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process. What You'll Get Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science Employee driven programs and initiatives for personal and professional development A flexible, remote-friendly company with personality and heart Competitive compensation and strong benefits, including Flexible Time Off The opportunity to: Own real, high-stakes analytical work across some of Arcadia's most complex customer relationships and highest-visibility internal analytics products Work across a genuinely varied set of problems — deep technical program ownership, versatile multi-account delivery, or company-wide analytics engines, depending on placement Build models and analytical assets that directly shape care and coverage decisions for the members and patients they serve Senior Analyst: $125,000 – $145,000 a year Lead Analyst: $145,000 – $170,000 a year About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Greenwich, Connecticut, United States About the Role iCapital is seeking a Vice President or Senior Vice President to lead Pricing Strategy and support one of iCapital's most important strategic functions. This role sits at the center of key business decisions, partnering closely with senior executive leadership to develop pricing strategies that drive growth, profitability, and long-term enterprise value. This role will help shape pricing frameworks, evaluate client and product opportunities, assess competitive dynamics, and develop data-driven recommendations that balance commercial objectives with sustainable economics. Operating at the intersection of strategy, finance, analytics, and business development, this role offers significant executive visibility and the opportunity to influence firm-wide commercial strategy across products, channels, and geographies. Responsibilities Lead the firm's Pricing Committee, including agenda development, analysis, governance, recommendations, and follow-up actions. Partner directly with executive leadership on strategic pricing decisions, commercial opportunities, and business growth initiatives. Work with the Business Development, Relationship Management, Distribution, and Product teams to structure and price new business opportunities and strategic client engagements. Build and lead a pricing strategy team responsible for reviewing client-specific requests, conducting analyses, and supporting commercial decision-making. Design and enhance pricing frameworks that support product positioning, value-based pricing, and long-term competitive differentiation. Own and maintain the Global Standard Pricing Compendium, ensuring pricing frameworks remain current, scalable, and consistently applied. Build and maintain pricing precedents, historical decisions, and supporting documentation to improve consistency and decision quality. Draft, implement, and maintain pricing policies, governance standards, and control procedures. Develop pricing analyses, dashboards, and reporting on pricing trends, fee realization, take rates, margin performance, and business mix evolution. Conduct market, competitor, and industry research to evaluate pricing trends, fee compression risks, and emerging commercial strategies. Partner closely with Strategic Finance teams to model revenue opportunities, cost structures, profitability, and return on investment for pricing decisions. Develop best-in-class disclosures and client-facing language describing iCapital's pricing methodologies, value proposition, and commercial arrangements. Qualifications 9 - 15 years of experience in pricing strategy, management consulting, strategic finance, investment banking, private equity, corporate strategy, or other analytical and commercial leadership roles Experience developing pricing strategies, commercial frameworks, revenue optimization initiatives, or profitability analyses within financial services, fintech, asset management, or related industries Exceptional analytical capabilities, including financial modeling, business case development, pricing analytics, and quantitative decision support. Demonstrated ability to influence senior executives and effectively communicate complex analyses to C-suite audiences and synthesizing large amounts of data into actionable recommendations and executive-ready presentations Strong commercial judgment with the ability to balance revenue growth, profitability, client needs, and competitive positioning Experience working cross-functionally with finance, sales, product, operations, legal, and executive leadership teams Track record of building processes, governance frameworks, and scalable operating models in evolving organizations Strong written and verbal communication skills with the ability to develop executive materials, committee presentations, policies, and client-facing content Highly organized with exceptional attention to detail and the ability to manage multiple strategic initiatives simultaneously Previous experience leading teams and developing talent is preferred Advanced proficiency in Excel and PowerPoint; experience with pricing analytics, business intelligence, and financial planning tools are a plus Benefits The base salary range for this role is $160,000 to $240,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, New York, United States About the Role iCapital is seeking a Vice President or Senior Vice President to lead Pricing Strategy and support one of iCapital's most important strategic functions. This role sits at the center of key business decisions, partnering closely with senior executive leadership to develop pricing strategies that drive growth, profitability, and long-term enterprise value. This role will help shape pricing frameworks, evaluate client and product opportunities, assess competitive dynamics, and develop data-driven recommendations that balance commercial objectives with sustainable economics. Operating at the intersection of strategy, finance, analytics, and business development, this role offers significant executive visibility and the opportunity to influence firm-wide commercial strategy across products, channels, and geographies. Responsibilities Lead the firm's Pricing Committee, including agenda development, analysis, governance, recommendations, and follow-up actions. Partner directly with executive leadership on strategic pricing decisions, commercial opportunities, and business growth initiatives. Work with the Business Development, Relationship Management, Distribution, and Product teams to structure and price new business opportunities and strategic client engagements. Build and lead a pricing strategy team responsible for reviewing client-specific requests, conducting analyses, and supporting commercial decision-making. Design and enhance pricing frameworks that support product positioning, value-based pricing, and long-term competitive differentiation. Own and maintain the Global Standard Pricing Compendium, ensuring pricing frameworks remain current, scalable, and consistently applied. Build and maintain pricing precedents, historical decisions, and supporting documentation to improve consistency and decision quality. Draft, implement, and maintain pricing policies, governance standards, and control procedures. Develop pricing analyses, dashboards, and reporting on pricing trends, fee realization, take rates, margin performance, and business mix evolution. Conduct market, competitor, and industry research to evaluate pricing trends, fee compression risks, and emerging commercial strategies. Partner closely with Strategic Finance teams to model revenue opportunities, cost structures, profitability, and return on investment for pricing decisions. Develop best-in-class disclosures and client-facing language describing iCapital's pricing methodologies, value proposition, and commercial arrangements. Qualifications 9 - 15 years of experience in pricing strategy, management consulting, strategic finance, investment banking, private equity, corporate strategy, or other analytical and commercial leadership roles Experience developing pricing strategies, commercial frameworks, revenue optimization initiatives, or profitability analyses within financial services, fintech, asset management, or related industries Exceptional analytical capabilities, including financial modeling, business case development, pricing analytics, and quantitative decision support. Demonstrated ability to influence senior executives and effectively communicate complex analyses to C-suite audiences and synthesizing large amounts of data into actionable recommendations and executive-ready presentations Strong commercial judgment with the ability to balance revenue growth, profitability, client needs, and competitive positioning Experience working cross-functionally with finance, sales, product, operations, legal, and executive leadership teams Track record of building processes, governance frameworks, and scalable operating models in evolving organizations Strong written and verbal communication skills with the ability to develop executive materials, committee presentations, policies, and client-facing content Highly organized with exceptional attention to detail and the ability to manage multiple strategic initiatives simultaneously Previous experience leading teams and developing talent is preferred Advanced proficiency in Excel and PowerPoint; experience with pricing analytics, business intelligence, and financial planning tools are a plus Benefits The base salary range for this role is $160,000 to $240,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Maputo About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. GiveDirectly Mozambique is growing – delivering large lump sum transfers at scale, developing tech-enabled delivery models, and building the operational infrastructure needed to support a significantly larger program. We're looking for an Operations Lead to strengthen the support systems and staff to operate with excellence at scale. This role will lead procurement, logistics, HR, and administrative functions end-to-end, working closely with the Country Director and collaborating with Programs, Finance, Internal Audit and Safeguarding teams. The ideal candidate combines strong operational expertise – particularly in procurement, logistics, and HR – with the leadership skills to build and mentor a growing team. You thrive in a fast-paced, non-hierarchical environment, are comfortable making decisions with limited precedent, and bring a bias toward action and practical problem-solving. Reports to: Country Director Level: Senior Manager Travel requirement: Regular travel within Mozambique to field offices and program sites. Must be able to travel 1-2 times per year internationally for team retreats. What you'll do Build and lead the Mozambique operations team Lead the GD Moz Operations team, including procurement, logistics, administration, and HR functions. Provide line management to the Office & Procurement Manager and Human Resources Manager, while supporting them to build high-performing, appropriately specialised teams. Create clear roles, responsibilities, and standard operating procedures that enable the team to operate independently and at a high standard. Build the team's capacity over time, driving best practice and coaching managers to develop operations management excellence. Contribute to cost-effective systems for scale Help design and build systems and processes capable of supporting a larger program, identifying future needs (e.g. strategic partnerships, team capacity, technology solutions). Drive measurable improvements in back-office processes, running regular analyses on speed, cost, resilience and controls. Identify and implement opportunities to use AI and other digital solutions to improve the scalability of operations. Leadership to procurement, logistics and administration Oversee Procurement & Administration function through the Office & Procurement Manager, identifying bottlenecks and improving systems. Develop and support implementation of a procurement strategy to ensure an efficient, responsive, high-quality, and resilient supply of goods and services. Lead logistics and fleet management, ensuring efficient and reliable transport and distribution across Mozambique's operations. Oversee budgeting and procurement planning to ensure needs are forecast and operations run smoothly. Use data to conduct analyses to identify opportunities to improve procurement and logistics efficiency and value for money. Support compliance and risk management Proactively identify and mitigate operational risks, maintaining a risk register and putting mitigations in place. Ensure operations meet GiveDirectly's global policy standards and local regulatory requirements, adapting for the Mozambique context. Work with GiveDirectly's Corporate Audit function to support internal audits and build systems for a strong control environment across assets, inventory, fleet, procurement and office security. Closely collaborate with Finance teams for timely, efficient payment processes, facilitate external audits, and ensure compliance. Oversee HR Oversee HR function through the HR Manager, identifying bottlenecks and improving systems. Support the Country Director in implementing and iterating on GiveDirectly Mozambique's people strategy to scale the team while building talent density. Support the HR team to deliver initiatives that strengthen team culture and reinforce GiveDirectly's values as the organisation scales. Drive best practice across recruitment, learning and development, performance management, and HR operations. What you'll bring Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. Significant experience (6+ years) in operations management, with strong expertise in procurement and logistics. A track record of strengthening operational functions – taking systems from ad hoc toward structured, compliant, and scalable. Strong financial and budget management skills, with experience managing operational budgets and driving cost-effectiveness. Experience managing and developing teams, including recruiting and mentoring staff. Experience overseeing or working closely with HR functions (recruitment, performance management, learning and development, culture building). Comfort in a fast-paced and changing environment that involves a degree of ambiguity and requires figuring things out with limited precedent. Highly analytical with a strong attention to detail and a bias toward data-driven decision-making. Familiarity with INGO standards, donor compliance frameworks, internal controls, and audit processes. Strong cross-cultural communication skills and experience working effectively in matrixed organisations. Experience and aptitude leveraging new technologies and AI to advance operational effectiveness. Comfort with an agile and iterative approach. Knowledge of Mozambique's regulatory environment for NGO operations, procurement, and employment law is an advantage. Language Requirement: English fluency required; Portuguese fluency is a plus. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: Serbia; Poland; Georgia; Cyprus; Portugal; Spain We are looking for a Senior ML Engineer / ML Lead to join the small, elite team of engineers and researchers building ML-driven trading strategies in the cryptocurrency markets. The system is currently live in production, showing strong results, and scaling rapidly. We are looking for an exceptional expert to take ownership of the product, evolve our architecture, and exponentially scale the profitability of our models. You will be working directly on real PnL. This position is designed for someone who wants to see the direct financial impact of their work, thrives in an environment of high autonomy, and is committed to writing high-performance code and building sophisticated mathematical models. Responsibilities • Develop and optimise the ML architecture for our trading strategies. • Drive the full research cycle: independently generate hypotheses, implement them into production, and monitor real-world performance/profitability. • Refine and improve existing ML models to boost effectiveness. • Identify and eliminate bottlenecks in data processing pipelines and execution strategies. Tech Stack • Python (primary language) • NumPy, numba, PyTorch / JAX Requirements • Experience in a Senior ML Engineer or ML Lead role. • Proven track record of developing profitable ML models or trading strategies. • Fundamental knowledge of mathematics, statistics, and probability theory. • Ability to operate in high-uncertainty environments: formulating your own hypotheses and validating them against data. • Experience in writing high-performance, production-ready code. Nice to Have • Experience in algorithmic trading or deep domain expertise in cryptocurrency markets. • Proficiency in C++ (specifically for reading and optimizing latency-critical code paths). • Strong academic background: competition accolades, Kaggle achievements, scientific publications, or graduation from a top-tier DS program (e.g., SHAD). • Interest in mentoring and team development. Benefits • Zero bureaucracy, high autonomy, and the chance to work alongside people who share a scientific approach and a commitment to high-quality engineering. • The opportunity to directly influence the product and see the results of your work reflected in real financial outcomes.

Ищем сильного Senior / Lead Product Manager в CORE-команду. Требуется человек с настоящей «включкой» в продукт, готовый брать ответственность, драйвить команду, находить баланс между бизнесом и разработкой. Интерес к построению B2B SaaS-продуктов, работе с сильной командой и влиянию на развитие всей экосистемы.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. We build products that help people better understand their bodies, improve performance, recover smarter, and build healthier habits through continuous health monitoring and actionable insights. Our products sit at the intersection of hardware, software, data science, sport, health, fashion, and culture. The Creative org defines how WHOOP is felt in the world. We are responsible for the physical manifestations of the brand, from hardware, bands, and accessories to collaborations, retail environments, pop-ups, and in-store moments. We operate with high taste, deep craft, and exacting standards. This is a design team built on trust, candor, and a shared obsession with quality. We are empowered to initiate, to challenge, and to lead. Our mandate is simple and uncompromising: to deliver best-in-class design across every physical touchpoint and to make WHOOP unmistakable through clarity, restraint, and excellence. We are looking for a Senior Industrial Design, Lead to help define the future of WHOOP hardware and wearable experiences. This role is for a designer who can move fluidly between vision and execution, shaping product strategy while obsessing over the details of form, fit, material, finish, comfort, manufacturing, and long-term user behavior. As Senior Industrial Design, Lead, you will own and drive industrial design across next-generation WHOOP products, accessories, and wearable systems. You will lead concept development, translate insights into compelling physical experiences, and partner deeply with Product, Engineering, Research, CMF, Apparel, Manufacturing, Brand, and Marketing teams to bring world-class products to market. This person will help define how WHOOP shows up on the body, in sport, in daily life, and in culture. The ideal candidate has deep experience designing wearable products or technically complex consumer hardware, a refined aesthetic point of view, strong ergonomic intuition, and the ability to lead cross-functional teams from early exploration through mass production. RESPONSIBILITIES: - Lead industrial design for future WHOOP hardware, bands, accessories, and wearable ecosystems from concept through production. - Translate user, athlete, member, and market insights into design strategies, product architectures, and differentiated physical experiences. - Create compelling design concepts through sketching, 3D modeling, prototyping, visualization, and storytelling. - Drive ergonomic studies, wearability testing, fit analysis, and human factors exploration to ensure products perform across body types, activities, environments, and use cases. - Partner closely with Mechanical Engineering, Electrical Engineering, Sensors, Apparel, Product, and Manufacturing to balance design intent, technical feasibility, performance, comfort, durability, and cost. - Lead CMF direction in collaboration with CMF and Brand partners, ensuring every material, finish, texture, and color decision reinforces the WHOOP design language. - Build and evolve design systems for WHOOP hardware, accessories, and on-body experiences, creating consistency while enabling future innovation. - Prototype rapidly across fidelity levels, from rough physical mockups to refined appearance models and functional wear-test samples. - Guide design decisions through clear rationale, strong visual communication, and a deep understanding of member needs. - Mentor industrial designers and contribute to a high-performance creative culture rooted in craft, rigor, curiosity, and accountability. - Present design work to senior leadership, clearly articulating the strategic, experiential, technical, and business rationale behind key decisions. - Partner with external vendors, model shops, factories, and development partners to preserve design intent through tooling, validation, and production. - Stay ahead of trends in wearables, health technology, performance apparel, fashion, materials, manufacturing, and culture. QUALIFICATIONS: - 8+ years of industrial design experience, with significant experience in consumer electronics, wearables, health technology, performance products, footwear, apparel, or technically complex consumer goods. - A portfolio that demonstrates exceptional taste, concept development, design process, problem solving, prototyping, and production execution. - Proven experience bringing products from early concept through manufacturing and launch. - Deep understanding of ergonomics, body-worn products, soft goods, hard goods, materials, CMF, manufacturing processes, and design for scale. - Strong 2D and 3D design skills, including sketching, CAD, rendering, visualization, and physical prototyping. - Ability to lead ambiguous, future-facing design programs while also managing the details required to ship excellent products. - Experience collaborating with engineering and manufacturing teams on technically constrained products. - Strong storytelling and presentation skills, with the ability to influence executive stakeholders and cross-functional partners. - A refined aesthetic point of view and a high bar for proportion, detail, materiality, usability, and emotional resonance. - A collaborative, low-ego leadership style with the ability to mentor designers and elevate the work of a broader team. - Passion for health, fitness, sport, human performance, design innovation, and the future of wearable technology. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: multiple locations Role Overview: At Cargoo, we are building supply chain products around complex, real-world logistics operations. It is understanding the actual problem, turning complexity into clear product decisions, and helping a development team deliver the right solution. We are looking for a Product Owner / Senior Business Analyst who can connect business needs, customer problems, and technology - and take ownership of turning them into working products. Problem space: Logistics product development means dealing with: • complex and evolving business rules • multiple stakeholders with different priorities • fragmented operational processes • incomplete requirements and changing assumptions • legacy + new system coexistence • customer needs vs. platform strategy • technical constraints • constant pressure to deliver value You will work in the middle of this complexity. Your job is to bring clarity, make decisions, and keep the team focused on what matters most. What you’ll own: • product vision and direction together with key stakeholders • translating real customer and business problems into product solutions • product scope, priorities, and delivery decisions • the Product Backlog and its continuous refinement • Use Cases, Requirements, and Business Rules • User Stories and Acceptance Criteria • balancing customer value, technical feasibility, business priorities, and timelines • keeping the development team aligned throughout the product lifecycle • ensuring delivered solutions support the wider Cargoo platform and business architecture How you’ll work: You will work closely with stakeholders, customers, subject matter experts, and the development team. You will: • ask questions until the actual problem is understood • challenge assumptions and unclear requirements • turn complex business processes into clear product logic • make decisions when priorities or requirements conflict • ensure the team always works on the highest-value opportunities • manage the balance between new functionality, maintenance, and product lifecycle needs • continuously improve how the team discovers, defines, and delivers products This is not a role where requirements are simply handed over to development. We expect you to understand the problem, own the decisions, and stay involved until value is delivered. What we expect from you: • 5+ years of experience in software or web product development, preferably in a Product Owner role • strong analytical and problem-solving skills • ability to navigate ambiguity and create structure from complexity • confidence making decisions and taking ownership of product outcomes • experience leading and working closely with software development teams • strong understanding of Agile values and principles, including Scrum, Kanban, and Lean • ability to communicate clearly with technical and non-technical audiences - from developers and subject matter experts to customers and executives • ability to manage competing priorities and delivery pressure • fluent English, both written and spoken • Degree or Diploma in Information Technology, Informatics, or a related field Experience with logistics or supply chain solutions is a strong plus. What you won’t find here: • requirements written only for the sake of documentation • backlog management without product ownership • decisions endlessly escalated instead of made • process for the sake of process • a perfectly defined problem waiting for you What matters to us: • clarity over complexity • outcomes over output • ownership over handovers • customer problems over feature requests • decisions over endless alignment • continuous improvement over perfect processes If this sounds like the kind of product environment where you do your best work - let’s talk.

Задачи: — Писать код на Go. — Строить и планировать архитектурные решения. — Выполнять ревью и тестирование кода. — Проводить консультации и менторинг менее опытных коллег. — Отвечать за работу сервиса(-ов). Требования: — Опыт инфраструктурной разработки на Go от пяти лет. — Опыт сетевой автоматизации. — Опыт написания тестов. — Опыт работы с NoSQL (в частности, Redis). — Понимание concurrency (как запустить/остановить фоновые горутины, как отобразить данные на веб-странице, пока они параллельно обновляются, как правильно работать с базой). — Желание заниматься инфраструктурной разработкой (сетевая аналитика, коллекторы и автоматизация файрволов). — Опыт работы с системами мониторинга (Grafana, Prometheus, VictoriaMetrics). Будет плюсом: — Опыт построения конкурентных приложений/сервисов. — Опыт работы и (или) способность к чтению Python-кода. — Опыт во Frontend-разработке. — Продвинутое или глубокое знакомство с сетями. — Открытость к взаимодействию с командой, инициативность и готовность помогать менее опытным коллегам. Условия: — Возможность создавать продукты и сервисы, которые меняют к лучшему жизнь миллионов пользователей. — Амбициозные задачи, масштабные проекты и возможности для профессионального роста. — Совместные интересы и увлечения: помогаем раскрывать таланты и отлично проводить свободное время. — Работа в команде профессионалов из разных сфер, которые всегда готовы поделиться опытом. — Программа благополучия: заботимся о здоровье и хорошем самочувствии сотрудников. — Компенсация питания в кафе и ресторанах рядом с офисами — 800 рублей в день. — Компенсация спортивных активностей — 30 000 рублей в год в регионах и 35 000 рублей в год в Москве и в Санкт-Петербурге. — 17 корпоративных команд по 12 видам спорта.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is hiring a Senior Lead, DTC Commercial Planning & Strategy to drive the commercial operating rhythm and revenue forecasting for the Direct-to-Consumer business. This role will serve as a key partner across Growth, Performance Marketing, Finance, Supply Chain, and Marketing Analytics to build out the commercial operating system of the DTC business (planning, forecasting, performance management, prioritization, and executive reporting). The ideal candidate combines strategic thinking with operational excellence, using data and cross-functional influence to translate ambitious goals into measurable business outcomes. RESPONSIBILITIES: - Own the commercial planning and forecasting process for the DTC business, developing annual, quarterly, and monthly revenue plans that align cross-functional teams around key growth initiatives and company objectives. - Partner with Growth Marketing, Marketing Analytics, Finance, and Supply Chain leaders to evaluate business performance, identify opportunities, and prioritize strategic investments that maximize revenue and member growth. - Develop and present business reviews by translating complex quantitative analyses and qualitative insights into compelling, data-driven narratives that clearly communicate DTC performance, key risks, opportunities, and strategic recommendations to senior leadership. - Lead the DTC business operating cadence, including business reviews, forecasting, executive updates, and performance reporting, ensuring leaders have clear visibility into priorities, risks, and opportunities. - Develop actionable insights through quantitative analysis, customer trends, and market dynamics to inform commercial strategy, pricing, promotional planning, and go-to-market decisions. - Drive cross-functional initiatives from strategy through execution, aligning stakeholders, resolving ambiguity, and ensuring accountability for key deliverables across multiple teams. - Continuously improve commercial planning processes, decision-making frameworks, forecasting methodologies, and operational tools to increase organizational effectiveness and scalability. QUALIFICATIONS: - 8+ years of experience in strategy, commercial planning, business operations, consulting, finance, or related functions, with meaningful experience supporting high-growth consumer technology or subscription businesses. - Demonstrated ability to develop business strategy while driving operational execution across complex, cross-functional organizations. - Exceptional analytical and financial modeling skills with experience using data to influence executive decision-making and prioritize business investments. - Proven experience leading planning processes, forecasting, business reviews, or commercial operating cadences with senior stakeholders. - Strong executive communication and presentation skills, with the ability to distill complex analyses into clear recommendations for diverse audiences. - Highly organized with exceptional project management skills and the ability to manage multiple strategic initiatives simultaneously in a fast-paced environment. - Experience influencing cross-functional teams without direct authority, building strong partnerships through collaboration, credibility, and thoughtful leadership. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Cairo, Egypt; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; New Delhi, India; Tallinn, Estonia Müller’s Solutions is seeking an experienced ServiceNow Cloud Migration Lead to own and deliver the migration of a ServiceNow instance from a self-hosted (on-premise) environment to ServiceNow on GCP. This is a hands-on technical leadership role requiring deep platform knowledge and a structured delivery mindset. Key Responsibilities • Lead end-to-end migration planning: discovery, architecture, cutover, and post-migration validation • Conduct full assessment of the current on-prem instance (version, customizations, integrations, data volume) • Design the migration approach — clone-based lift, upgrade alignment, or phased rollout • Manage ServiceNow cloning, MID Server reconfiguration, and GCP connectivity • Audit and remediate custom scripts, flows, and integrations pre-migration • Coordinate with the client’s infrastructure and security teams on network, SSO, and firewall changes • Execute UAT support, regression testing, and hypercare post-go-live • Produce migration runbooks, risk registers, and cutover plans Requirements Required Skills • 5+ years on the ServiceNow platform; at least one completed cloud migration (on-prem → cloud) • Strong knowledge of ServiceNow architecture: MID Servers, instance cloning, upgrade paths • Hands-on experience with GCP networking concepts (VPC, Cloud Interconnect, DNS) • Proficiency in ServiceNow scripting (Business Rules, Script Includes, Flow Designer) • Integration experience: REST, SOAP, LDAP, SSO/SAML • Familiarity with ServiceNow PDI, instance hierarchy, and clone exclusion rules Nice to Have • CSA or CIS certification • Experience with ServiceNow Health Scan and ATF (Automated Test Framework) • Prior work in KSA/GCC enterprise environments

Задачи: — Разработка и поддержка интерфейсов на React 17/18 и создание масштабируемых SPA. — Интеграция с backend-сервисами через REST, GraphQL API и WebSocket. — Работа с дизайн-системами, компонентными библиотеками и адаптивная кроссбраузерная верстка. — Участие в архитектурных решениях, проведение code review и оптимизация скорости загрузки. — Разработка и поддержка тестов (unit, интеграционные, e2e). Требования: — Опыт коммерческой разработки на React от 5-6 лет. — Глубокие знания JavaScript (ES6+, event loop, асинхронность) и TypeScript (generics, conditional types). — Опыт построения архитектуры SPA и работы с микрофронтендами (Module Federation). — Владение инструментами сборки (Webpack, Vite) и Git. — Опыт работы с Next.js (SSR/SSG) и высоконагруженными системами. — Навыки менторинга, опыт настройки CI/CD и базовые знания Docker. Условия: — Полностью удаленный формат работы — возможность трудиться из любого города мира. — Соблюдение принципов work-life balance для гармонии работы и личной жизни. — Своевременные выплаты и работа над интересными проектами в крупных компаниях. — Корпоративная библиотека и скидки от партнеров на обучение и английский язык. — Открытая корпоративная культура с горизонтальным общением на «ты».

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 Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. 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 Senior AI/ML Engineer (Applied AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. 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: 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 Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. 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 Senior AI/ML Engineer (AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. 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 (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 with hiring managers or an HR call Task Assessment Technical Interview or home assignment 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.

Мы развиваем ИТ-продукт, который включает в себя масштабную WEB-платформу и интерактивного Telegram-бота/Mini App. Наш стек: Backend на Node.js, Frontend на JavaScript. Продукт быстро растет, и сейчас мы ищем Senior QA Automation Engineer. Задачи: — Проектирование, разработка и развитие масштабируемого фреймворка автоматизированного тестирования на JavaScript / TypeScript + Node.js. — Написание и поддержка E2E-тестов, автоматизация тестирования WEB-версии продукта, включая UI/UX и кроссбраузерность, плюс интерфейс Telegram-бота. — Разработка и автоматизация API-тестов для проверки бизнес-логики и интеграций (REST / WebSockets). — Проектирование и внедрение CI/CD пайплайнов тестирования: настройка регулярного запуска автотестов в GitHub Actions, GitLab CI или Jenkins. — Проведение code review автоматизированных тестов и тестовой инфраструктуры. — Анализ и повышение тестового покрытия продукта; разработка и поддержка тестовой отчетности. — Локализация багов и заведение понятных баг-репортов; настройка автоматического создания тикетов в Jira при падении автотеста. — Контроль актуальности тестовой документации: тест-планов и чек-листов; совместно с командой определение приоритетных сценариев для автоматизации. — Внедрение лучших практик тестирования и развитие процессов автоматизации. — Тесное взаимодействие с командами Backend, Frontend, QA и DevOps. Требования: — Коммерческий опыт в автоматизации тестирования от 4 лет (включая элементы лидерства / неформального ведения задач). — Отличное знание JavaScript и экосистемы Node.js; уверенное владение TypeScript. — Опыт автоматизации UI-тестирования веб-сайтов с использованием Playwright или Cypress. — Опыт тестирования API и понимание устройства веб-протоколов. — Понимание специфики и архитектуры Telegram-ботов, включая Bot API. — Уверенное владение Git, базовые знания SQL, понимание принципов CI/CD и опыт работы с пайплайнами (GitHub Actions, GitLab CI, Jenkins). — Опыт проведения code review и готовность помогать развивать команду (при необходимости — с перспективой формального лидерства). Будет плюсом: — Опыт одновременного тестирования сквозных сценариев, например, когда действие на WEB-сайте влечет за собой проверку реакции в Telegram-боте. — Готовность предоставить ссылку на Git-репозиторий с примерами своих автотестов.

Location: Mumbai, India; New Delhi, India We are seeking an experienced Senior Data & AI Governance Lead to join our team in Saudi Arabia. This leadership role is critical in establishing and driving the data and AI governance frameworks across the organization to ensure ethical, compliant, and effective use of data and artificial intelligence technologies. As the Senior Data & AI Governance Lead, you will oversee the development and implementation of governance policies, standards, and practices that ensure data quality, privacy, security, and responsible use of AI. You will collaborate closely with stakeholders across business, technology, legal, and compliance teams to embed governance principles within data and AI initiatives and to manage risks effectively. This position offers a unique opportunity to lead in an evolving technological landscape and help organizations harness the power of data and AI while maintaining trust and compliance. Key Responsibilities Develop and implement data and AI governance frameworks, policies, and standards aligned with business objectives and regulatory requirements. Lead cross-functional teams to embed governance practices in AI/ML development and data management processes. Ensure compliance with relevant data privacy, security, and ethical standards, including KSA regulations. Collaborate with legal and compliance teams to monitor regulatory changes and adjust governance frameworks accordingly. Define metrics and KPIs to measure the effectiveness of data and AI governance initiatives. Provide guidance and training to stakeholders on governance policies, ethical AI use, and data stewardship responsibilities. Oversee risk assessment related to data and AI projects and implement mitigation strategies. Drive continuous improvement in governance processes and keep abreast of emerging trends in data, AI, and regulatory landscapes. Facilitate communication between technical teams, business units, and senior management regarding governance issues and compliance status. Lead audits and reviews related to data and AI governance compliance. Requirements Bachelor's degree in Computer Science , Information Systems , or a related field. 5–20 years of experience in Data Governance, Data Privacy, Data Architecture, AI Governance, AI/ML, or related disciplines. Strong understanding of data governance regulatory requirements and industry-leading data quality frameworks. Knowledge of KSA Personal Data Protection Law (PDPL). Experience in Governance, Risk & Compliance (GRC), Responsible AI, and AI regulations. Hands-on experience with Informatica Suite (EDC, IDQ, Axon, MDM). Strong knowledge of Data Governance Frameworks, Operating Models, Data Quality Management, Data Privacy, Data Architecture, and Data Modeling. Experience in AI Governance, AI Auditing, AI Engineering, and Data Science. CDMP certification preferred. Data Privacy certifications preferred. TOGAF or equivalent Architecture certification is a plus.