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Location: Cairo, Egypt Workplace: remote To be added Key Responsibilities Moderation system monitoring Blocking users who violate the rules of the service Removing inappropriate content (Adult Nudity, Illegal Goods, Bullying, Harassment, Hate Speech, etc.) Keeping track of inappropriate orders in Google Sheets as required Compiling a list of words for censorship Conducting labeling of various datasets Other relevant tasks as required Skills, Knowledge and Expertise Arabic Language: Native English: B1 (preferable) PC knowledge: confident user Strong cultural background

Location: Cairo, Egypt Workplace: onsite To be added Key Responsibilities Moderation system monitoring Blocking users who violate the rules of the service Removing inappropriate content (Adult Nudity, Illegal Goods, Bullying, Harassment, Hate Speech, etc.) Keeping track of inappropriate orders in Google Sheets as required Compiling a list of words for censorship Conducting labeling of various datasets Other relevant tasks as required Skills, Knowledge and Expertise Arabic Language: Native English: B1 (preferable) PC knowledge: confident user Strong cultural background

- Запуск, оптимизация и масштабирование рекламных кампаний; - Самостоятельный поиск связок и конкурентный анализ;

Location: Stamford, Connecticut, United States About the Role iCapital is seeking a detail-oriented and technically capable Associate to join the Data Feed Operations team within Data Solutions. This role sits at the intersection of investment operations, data analysis, and technical data management, with a focus on supporting the quality and reliability of post-trade investment data. This hands-on, highly collaborative role partners across technical and business teams to solve complex data challenges and support scalable data operations within a fast-moving financial technology environment. Responsibilities Monitor inbound and outbound data feeds, APIs, file-based integrations, processing results, validations, deliveries, and service exceptions. Reconcile investment positions, transactions, valuations, cash activity, and related reporting data across source systems and downstream outputs. Investigate data-quality exceptions and feed breaks, determine root cause, document findings, and coordinate remediation with internal and external partners. Certify the completeness and accuracy of reporting data before publication, migration acceptance, or client and partner delivery. Use SQL to analyze relational data, validate populations, trace lineage, identify anomalies, and produce repeatable reconciliation evidence. Use analytical and automation tools to develop controls, transform and compare data sets, reduce manual analysis, and support scalable monitoring and reconciliation workflows. Document feed specifications, source-to-target mappings, business rules, procedures, controls, issue histories, and certification evidence. Translate operational issues and recurring break patterns into actionable requirements for the Product and Engineering teams. Participate in testing and certification for new feeds, feed changes and platform migrations. Provide clear status updates and respond to client, partner, and internal stakeholder questions regarding feed health, data quality, and issue resolution. Help define and track operational measures such as feed timeliness, successful delivery, break recurrence, resolution time, certification status, and data adoption. Qualifications 3-5 years of relevant experience in data operations, investment operations, data analysis, financial technology, performance reporting, fund administration, or in a related field Advanced SQL skills and experience analyzing data in relational databases, including cloud data platforms such as Snowflake or PostgreSQL Experience working with APIs, file-based integrations, external data-provider workflows, ETL or ELT processes, data pipelines, or orchestration workflows Experience monitoring data feeds, investigating exceptions, reconciling data, and documenting mappings or business rules Experience with investment positions, transactions, valuations, capital activity, partner capital account data, or general-ledger data Working knowledge of alternative investments, private markets, wealth management, investment performance reporting, or fund accounting Python experience for data analysis, validation, automation, or reconciliation Experience supporting data migrations, source-system conversions, or implementation testing in a controlled production environment Strong analytical judgment and a structured approach to root-cause analysis and problem solving Excellent attention to detail, with the ability to manage multiple priorities in a fast-paced environment Strong written and verbal communication skills, with the ability to work effectively across business and technical teams, take ownership of issues through resolution, and contribute as a collaborative team member Benefits The base salary range for this role is $75,000 to $85,000.  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 X: @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: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Integrations Associate to join our Feed Integrations Team. This role will report to the Feed Integrations Manager. In this role, you’ll be responsible for the maintenance and optimization of eligibility and claims data feeds that are foundational to Garner’s healthcare platform. This position blends technical acumen with cross-functional collaboration. You’ll serve as a key point of contact for external partners, including health insurance carriers, TPAs, and benefits administrators, while working closely with internal teams to identify opportunities for automation and efficiency gains. This is a mission-critical role, managing the data infrastructure that directly impacts our clients’ success and our product performance. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Lead implementations of new client eligibility and claims data integration feeds Own maintenance and improvement of existing eligibility and claims data integration feeds Conduct in-depth data analysis and error reporting to validate feed performance and troubleshoot discrepancies Collaborate with external feed providers to gather technical requirements, map files, test integrations, and resolve issues for renewing clients Contribute to the continuous improvement of internal tools, documentation, and processes The ideal candidate has: Analytical mindset with a keen attention to detail and a drive for root-cause problem solving 0 - 5 years of experience with healthcare data, including eligibility and claims file formats (e.g., EDI 834, 837, custom flat files) Familiarity with data integration protocols such as SFTP, encryption standards (e.g., PGP), and file transformation/mapping Strong communication skills with experience working cross-functionally and externally with partners A proactive, collaborative approach and a willingness to get hands-on with complex work Passion for transforming healthcare and improving outcomes for members and clients A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The base salary range for this position is $54,000 - $70,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco; Los Angeles; Sunnyvale Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: As an Android Engineer at Cantina, you’ll lead the development of innovative, high-performance features — from crafting personalized feeds and immersive custom UIs to empowering bots with AI-driven capabilities like chatting, text-to-speech, voice selection, image creation, and real-time media effects. Working closely with Product Managers, Designers, and Sean Parker, you’ll influence the direction of a product central to the company’s mission, move quickly to deliver impactful updates, and enjoy the autonomy to bring your ideas to life. We’re looking for someone who thrives on pushing the limits of Android development and has a passion for creating visually stunning, high-performance experiences. Your expertise in custom graphics, animation frameworks, and media pipelines will help shape the creative foundation of our flagship app. What you'll do: - Build and ship high-quality Android features using Jetpack Compose, Kotlin Coroutines, and modern Android architecture patterns. - Develop and optimize video/audio pipelines, real-time media effects, and AI-powered visual features on Android. - Craft immersive custom UI experiences with deep expertise in Compose animations, custom drawing, and motion design. - Leverage deep Android internals knowledge — memory management, rendering pipeline, Choreographer, RenderThread — to deliver buttery-smooth performance. - Architect and maintain clean MVVM application structure with well-separated concerns across UI, domain, and data layers. - Set up and manage dependency injection using Koin or Hilt, ensuring scalable and testable module graphs. - Participate in architecture discussions and uphold high standards for code quality, testability, and maintainability. - Collaborate with Product, Design, and QA teams to deliver polished, scalable experiences. - Take ownership of features as part of a small, fast-moving team shipping to a large user base. What you'll bring: - 8+ years of experience developing Android applications, or equivalent. - Expert-level Kotlin — idiomatic usage, coroutines, Flow, and advanced language features. - Deep Jetpack Compose expertise: custom layouts, state management, animation APIs (Animatable, Transition, AnimationSpec), and performance profiling. - Strong command of MVVM architecture and the Android architecture components ecosystem (ViewModel, LiveData/StateFlow, Room, Navigation, WorkManager). - Hands-on experience with dependency injection using Koin or Hilt in production Android apps. - Strong understanding of Android internals: View system, RenderThread, Choreographer, garbage collection, and battery/memory profiling. - Experience with media frameworks: ExoPlayer, MediaCodec, Camera2/CameraX, and real-time effects. - Ability to write readable, maintainable, documented, and well-tested code. - Experience with RESTful API integrations and proficiency with Git. - Keen attention to detail, motion, and animation — you notice when something is 2px off. - Bonus: experience with AI-driven media features, real-time video/audio effects, or WebRTC on Android. Compensation: The anticipated annual base salary range for this role is between $180,000-$240,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Remote-Friendly (Travel Required) | San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Security at that scale runs on data, and you'll be the engineer who owns it and the systems that produce it: component-level hardware inventory and chain of custody, fed by software that runs at our sites and on hosts, and continuous control monitoring, with the posture calculations that decide what each site is cleared to run. You set the architecture, agree schemas and interfaces with the teams, operators and vendors that own the sources, build the pipelines, stores and tools, and run what you ship. The goal is security that runs itself: custody, access and evidence verified continuously from records, with tools and AI agents doing the reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including the engineers on its security monitoring platform, with Anthropic's compute and data center operations teams, and directly with data center operators, hardware vendors and logistics providers. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities Hardware inventory and chain of custody: own the component-level record of what hardware exists, where it is and who has handled it: the data model, the pipelines that join inventory and custody events from many source systems, change history on every record, and the tamper-evident stores behind it Tools, automation and AI agents: build the tools and agents the team runs on this data: reconciliation, audit evidence exports, custody checks. When a review keeps costing people time, you build the tool or agent that retires it Custody workflows and field software: build the workflows and the site and host software that capture custody events as they happen (a receipt, a move, a data wipe, a decommission) and enforce who is authorized to record them Continuous control monitoring and posture: own the pipelines that turn check outcomes, assessment results and findings into per-control and per-site measures over time, against the compliance frameworks we and our partners are assessed against, and the posture calculation that decides what a site is cleared to run Data quality: build coverage checks, reconciliation against sources and alerts on a silent or drifting feed, so a wrong or missing record is caught the same day; own retention and access controls on the records Integration and reporting: agree schemas and interfaces with the engineers who run the security monitoring platform, and build the query surfaces and reports the team, site leads and leadership use directly Minimum qualifications Have designed and run production data systems (relational schemas, change data capture, batch or streaming pipelines and the services around them) and kept them correct: coverage measured, records reconciled against the source, alerts on silence, and a design that expects records to get corrupted or lost Have integrated with systems you did not control (inventory tools, ticketing systems, vendor APIs) and built data models that outlive any one source Have shipped software that runs outside a central service (host agents, site-local services, edge collectors) and kept it correct in the field, or built metrics a team made decisions on and defended them when challenged Have worked hands-on with data about physical assets or security controls: a hardware fleet, data center or supply chain inventory, asset custody, or the control and evidence data of a security or compliance program Read and review other people's code, and build with AI coding agents using Git and code review Own a domain end to end: set the approach, design and build it with the teams and vendors whose systems it depends on, and run it as something people use every day Write SQL and at least one general-purpose programming language well Preferred qualifications Experience with asset management, supply chain or warehouse systems where serialized tracking and custody transfer are the core problem Experience building continuous control monitoring or metrics for a security or compliance program, or producing evidence an assessor accepted, for example against NIST SP 800-53, ISO 27001 or SOC 2 Experience with risk or posture scoring that combines control results, findings and other evidence into a measure people make decisions on Familiarity with data center hardware and its lifecycle from receipt to decommission, and with sites and parties you did not control: colocation, cloud or GPU cloud operators, hardware manufacturers, logistics providers Have run software on many hosts or at remote sites with versioned rollout and a way to know each copy is still reporting Have built AI agents or automation that replaced recurring manual work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus Spotware Systems is looking for a hands-on Media Buying Operations Manager for our new direct-to-consumer trading product built on the cTrader ecosystem. You will build, run, and scale the media-buying network and the ad-ops / martech spine - turning testing funnels and cohorts into registered, funded, and actively trading cTrader users. Responsibilities Source, onboard, and manage a network of external performance-pay media-buying units. Set the units' pay schemes (fixed + performance) and allocate them across funnel × geo, deploying onto winning combinations. Scale the network as testing widens, cut underperformers, and own the unit-count ramp against live cost-per-funded-account and conversion-rate signal. Launch the first geos hands-on - run the initial media-buying units yourself, as a buyer, until the external network is stood up. Run QA and anti-fraud on unit output, and reconcile performance-based payouts against verified funded accounts. Be the single point of contact between the in-house team and the external units - give them clear briefs (offer, brand and creative guidelines, tracking setup), collect their performance data, and feed it back into what we test, prioritize, and scale next. Own advertising accounts, tracking pixels, server-side tracking, mobile attribution, and first-party data in-house. Report acquisition performance against CAC, funded-account quality, and net deposit, working with the analyst on the measurement spine. Requirements 5+ years in performance marketing / paid UA, owning budgets and scaling spend to six figures/month against CPA and volume targets. Proven track record building and managing a network of external buyers / buying teams / JV partners - sourcing, perf-pay deals, allocation, anti-fraud, payout reconciliation - not just running own campaigns. High-CPA, conversion-driven vertical experience (iGaming, gambling, forex / CFD, crypto, dating, nutra). Hands-on ownership of the ad-ops / martech stack - ad accounts, pixels, conversion APIs, trackers (Voluum / Keitaro / RedTrack), product analytics (Amplitude / PostHog / Mixpanel), MMP (AppsFlyer / Adjust). Multi-geo acquisition, ideally across emerging markets (Tier 2-3), with localization handled at the unit level. Strong analytical command - reads funnel / cohort data and acts on unit economics (CAC, LTV, payback, net deposit, retention). AI-native by default - runs the network and stack on AI and automation, with minimal manual labor. Soft skills: hands-on operator (not a pure manager), comfortable with ambiguity and autonomy, clear communicator across commercial, creative, and technical counterparts. Conditions Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Limassol, Cyprus Spotware Systems is looking for a Customer Success Manager to retain and grow corporate clients using the Spotware products by acting as their trusted advisor. The Customer Success Manager owns the client relationship end to end: onboarding and configuration guidance and follow ups, proactive account management, adoption and utilisation growth, and the translation of client business needs into clear, testable requirements for Product, Engineering and Support. The role strengthens satisfaction and loyalty, identifies and mitigates churn and relationship risks, and feeds structured insight back into product, service and commercial decisions. Requirements 3+ years in a client-facing role (Customer Success, Account Management, Business Analysis or Onboarding) in fintech or trading software, with a track record of retaining and growing corporate accounts. Good working knowledge of FX/CFD trading - how prices are formed, how orders are placed and filled, how leverage and margin work, and a general sense of how brokers manage risk - plus an interest in understanding execution quality (fair fills, slippage, unusual trading patterns). Ability to analyse usage, execution data and client feedback to identify risks, needs and improvement opportunities, and to turn them into structured recommendations. Experience organising and delivering client training, onboarding sessions, webinars or other enablement activities. Good MS Excel skills and comfort working with large trading datasets. Practical daily use of AI tools to accelerate analysis, documentation, client communication, reporting and enablement, with the judgement to validate outputs before use. Excellent verbal and written communication skills in English; clear, structured communicator. Nice to have: Experience with liquidity bridges and aggregators Responsibilities Client success and consultative support: provide consultative support to corporate clients on company products and services; resolve client questions, issues, and requests promptly and professionally; help clients understand product functionality and use the platform more effectively; maintain regular communication with clients to strengthen satisfaction, loyalty, and long-term cooperation. Platform usage and client value: analyze how clients use the products and identify opportunities to increase product value for them; guide clients toward more effective, beneficial, and informed use of company products; identify usage gaps, adoption barriers, recurring questions, and improvement opportunities; support client success goals through structured recommendations and follow-ups. Training and enablement: organize and conduct client training programs, seminars, and webinars; prepare materials and guidance that help clients improve their proficiency in using company products; adapt training and enablement activities to client needs, product updates, and common usage challenges. Feedback, data, and improvement initiatives: collect and analyze client feedback to identify product, service, and process improvement opportunities; collect and analyze client data to support strategic initiatives for service and product improvement; manage client-related changes and communicate relevant needs or risks to internal teams; respond quickly to situations that may negatively affect client relationships. Cross-functional collaboration: coordinate with Sales, Marketing, Product, Support, Billing, Technical, and Development teams to achieve client success goals; communicate client needs, feedback, risks, and opportunities to relevant stakeholders; support alignment between commercial, product, and technical teams around client priorities. AI-assisted work: use AI tools to improve client analysis, communication drafting, meeting preparation, feedback analysis, training materials, reporting, and process efficiency; validate AI-generated outputs before using them in client communication, reporting, or internal documentation. Conditions Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: ., United Kingdom Workplace: remote Here at Scede, we enable scaling companies to achieve hiring success. Since 2013, we’ve built incredible teams for 150+ tech companies and games studios in Europe and North America via our flexible, subscription-based or pay-as-you-go recruitment solutions. We see recruitment as a craft, and focus on the enablement and empowerment of our teams to help us achieve our #1 business objective; to deliver an exceptional service to our customers. Our Talent Partners have hired top talent into the teams of 27 Unicorns, including Klarna, Graphcore, Trustpilot, Mollie and Trade Republic to name a few. About Scede Source Not every company needs a full embedded team. Some have a handful of roles that really matter and need them done well. Scede Source is how we help them. It’s a focused 30-day sourcing sprint for each role, where we source, screen and shortlist. As our next Talent Partner, you'll: Run between 1-5 sprints at once across tech, product, go-to-market and games Hold weekly updates with hiring managers so they always know where things stand Use funnel data to spot when a role is stalling and work out why Utilise AI and be curious about new ways it can be used within your sourcing and strategy Push back with evidence when a brief doesn’t match the market Feed what you learn back into how we run Source We'd love it if: You’ve recruited in tech or games, whether that was embedded, in-house, RPO or agency. You love to source! You can build sourcing strategies, utilising AI, available platforms and current market trends to seek out those hard to find candidates. You treat recruitment as a craft. You want to know why something works, not just tick off the steps. You can recognise quickly when something isn't going to plan and can pivot your approach and strategy. You can interpret and use data to influence your hiring managers, presenting the facts to make the changes needed to make the hire. You talk openly about what’s gone wrong and what you learned from it. You can work autonomously. You’re comfortable working remotely and staying connected with a distributed team. Benefits The autonomy, trust, and flexibility of a 100% remote-first company. You're empowered to work from home or wherever you feel you work best. We've found that a positive work-life balance for all is much more accessible this way. Private medical and dental cover. Discounts and perks across retail, travel, leisure, and entertainment. Monthly "Best Self" allowance to invest in something that works for you, such as subscriptions to Spotify or Audible, gym memberships, a meal at your favourite restaurant, and more. On top of 23 days of paid leave (pro rata), you also have your birthday off to celebrate, and 3 extra days off between Christmas and New Year.

Location: London, United Kingdom Workplace: hybrid The Commercial Lead will own the sales pipeline and revenue, driving outbound sales and managing complex B2B deals with AI and data companies, from qualification and pilots to recurring contracts. The role also includes developing strategic partnerships and channels, shaping pricing and commercial terms, and bringing customer demand and market insights back to product and operations. Key Responsibilities Own the pipeline and the number Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house. Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit. Run complex, technical deals Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles. Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable. Manage pilots and convert them into recurring volume. Shape pricing and commercial framework Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks. Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions. Build the channel Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack. Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams. Feed the roadmap Bring structured demand signal back into product and operations Qualifications Must have Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran. Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market. Comfort selling to technical and research buyers. Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit. Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties. Nice to have An existing network among AI labs, data vendors, or enterprise AI teams. Experience operating in or selling data from emerging markets. Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets). Additional languages, particularly Spanish, Portuguese or Russian. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Jakarta, Indonesia Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid The Commercial Lead will own the sales pipeline and revenue, driving outbound sales and managing complex B2B deals with AI and data companies, from qualification and pilots to recurring contracts. The role also includes developing strategic partnerships and channels, shaping pricing and commercial terms, and bringing customer demand and market insights back to product and operations. Key Responsibilities Own the pipeline and the number Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house. Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit. Run complex, technical deals Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles. Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable. Manage pilots and convert them into recurring volume. Shape pricing and commercial framework Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks. Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions. Build the channel Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack. Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams. Feed the roadmap Bring structured demand signal back into product and operations Qualifications Must have Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran. Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market. Comfort selling to technical and research buyers. Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit. Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties. Nice to have An existing network among AI labs, data vendors, or enterprise AI teams. Experience operating in or selling data from emerging markets. Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets). Additional languages, particularly Spanish, Portuguese or Russian. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 75 600 EUR gross Final benefits may vary depending on the location.

Location: El Salvador The Role You'll own paid media end to end for a set of DTC and e-commerce accounts: onboarding a new client, building their accounts from scratch, and running live campaigns against revenue targets. You're the person the client speaks to about their spend. You explain what's working, what isn't, and what you're doing about it. This is a hands-on seat, not an oversight one. You run the accounts yourself. What You Own Onboarding a new client Lead the kickoff: budgets, targets (CPA/ROAS), audiences, and reporting cadence Audit existing ad accounts, tracking setup, and creative libraries before anything goes live Agree what good looks like in month one, three, and six Setting up Configure ad accounts, pixels, CAPI, and conversion tracking Build the account structure: campaigns, ad sets, audiences, budget splits Brief creative and feed requirements to the studio team Running the account Launch, monitor, and optimise daily against KPIs Manage budget pacing and move spend where it performs Run creative, audience, and bidding tests, then scale what works Own the weekly and monthly client reporting and walk clients through it Flag risks early. If a target is slipping, the client hears it from you first, with a plan What You Need 3+ years buying paid media, hands-on, across Meta and Google (TikTok a plus) A track record in DTC or e-commerce where you owned ROAS or CPA and can talk through specific accounts Comfortable running client calls solo, including the difficult ones about performance Strong on tracking and attribution: GA4, pixel, CAPI, and reading the data behind a result Able to run several accounts at once, start to finish, and keep each one on plan Nice to Have Agency background running multiple clients Feed management and Google Shopping experience A creative testing framework you've actually used

Location: Nicaragua The Role You'll own paid media end to end for a set of DTC and e-commerce accounts: onboarding a new client, building their accounts from scratch, and running live campaigns against revenue targets. You're the person the client speaks to about their spend. You explain what's working, what isn't, and what you're doing about it. This is a hands-on seat, not an oversight one. You run the accounts yourself. What You Own Onboarding a new client Lead the kickoff: budgets, targets (CPA/ROAS), audiences, and reporting cadence Audit existing ad accounts, tracking setup, and creative libraries before anything goes live Agree what good looks like in month one, three, and six Setting up Configure ad accounts, pixels, CAPI, and conversion tracking Build the account structure: campaigns, ad sets, audiences, budget splits Brief creative and feed requirements to the studio team Running the account Launch, monitor, and optimise daily against KPIs Manage budget pacing and move spend where it performs Run creative, audience, and bidding tests, then scale what works Own the weekly and monthly client reporting and walk clients through it Flag risks early. If a target is slipping, the client hears it from you first, with a plan What You Need 3+ years buying paid media, hands-on, across Meta and Google (TikTok a plus) A track record in DTC or e-commerce where you owned ROAS or CPA and can talk through specific accounts Comfortable running client calls solo, including the difficult ones about performance Strong on tracking and attribution: GA4, pixel, CAPI, and reading the data behind a result Able to run several accounts at once, start to finish, and keep each one on plan Nice to Have Agency background running multiple clients Feed management and Google Shopping experience A creative testing framework you've actually used

Location: Colombia The Role You'll own paid media end to end for a set of DTC and e-commerce accounts: onboarding a new client, building their accounts from scratch, and running live campaigns against revenue targets. You're the person the client speaks to about their spend. You explain what's working, what isn't, and what you're doing about it. This is a hands-on seat, not an oversight one. You run the accounts yourself. What You Own Onboarding a new client Lead the kickoff: budgets, targets (CPA/ROAS), audiences, and reporting cadence Audit existing ad accounts, tracking setup, and creative libraries before anything goes live Agree what good looks like in month one, three, and six Setting up Configure ad accounts, pixels, CAPI, and conversion tracking Build the account structure: campaigns, ad sets, audiences, budget splits Brief creative and feed requirements to the studio team Running the account Launch, monitor, and optimise daily against KPIs Manage budget pacing and move spend where it performs Run creative, audience, and bidding tests, then scale what works Own the weekly and monthly client reporting and walk clients through it Flag risks early. If a target is slipping, the client hears it from you first, with a plan What You Need 3+ years buying paid media, hands-on, across Meta and Google (TikTok a plus) A track record in DTC or e-commerce where you owned ROAS or CPA and can talk through specific accounts Comfortable running client calls solo, including the difficult ones about performance Strong on tracking and attribution: GA4, pixel, CAPI, and reading the data behind a result Able to run several accounts at once, start to finish, and keep each one on plan Nice to Have Agency background running multiple clients Feed management and Google Shopping experience A creative testing framework you've actually used