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Location: Davao, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity As Advantage HQ continues to scale, data and analytics are becoming increasingly important to how we operate, make decisions, and drive growth. We need a leader who can turn complex data into clear insights, build reliable analytics infrastructure, and establish the measurement systems that help our teams understand what is working, what is not, and where to focus next. The Director of Data & Analytics will lead our data strategy, analytics function, and measurement infrastructure across the business. You will work closely with leadership and cross-functional teams to improve visibility into performance, strengthen decision-making, and ensure our data capabilities scale alongside the organization. This role goes beyond reporting. You will build the systems, standards, and analytical capabilities that connect data to business outcomes. What You'll Own Build the data and analytics foundation You will establish the data infrastructure, reporting standards, and analytical frameworks needed to support a growing, multi-channel organization. You will improve data quality, consistency, accessibility, and reliability while ensuring teams can trust the information they use to make decisions. Drive business and performance insights You will translate complex datasets into actionable insights that support business strategy, client outcomes, media performance, creator partnerships, and operational efficiency. You will identify trends, uncover opportunities, investigate performance gaps, and help leadership understand the factors driving growth and profitability. Develop measurement and attribution capabilities You will strengthen how we measure performance across paid media, creative, creator partnerships, affiliate distribution, and customer acquisition. You will improve reporting and measurement frameworks to help teams understand channel effectiveness, creative performance, customer acquisition costs, return on ad spend, and other key business metrics. Build scalable analytics systems You will identify gaps in existing reporting and analytics workflows and develop solutions that reduce manual work, improve visibility, and support faster decision-making. You will partner with engineering and technology teams to improve data pipelines, dashboards, automation, and integrations across our systems. Lead and develop the analytics team You will lead, mentor, and develop data analysts, analytics engineers, and other relevant team members. You will establish clear expectations, analytical standards, and accountability while building a team that delivers reliable insights and meaningful business impact. Partner with cross-functional leadership You will work closely with media, creative, creator partnerships, finance, operations, and executive leadership to align analytics priorities with business objectives. You will help teams move beyond descriptive reporting toward better forecasting, experimentation, performance optimization, and data-informed decision-making. Establish a data-driven operating culture You will build processes that make data a consistent part of how the organization operates. You will promote clear KPI definitions, reliable reporting, analytical rigor, and a shared understanding of performance across teams. Who You Are You are an experienced data and analytics leader who understands both the technical foundations of data and its practical application to business decisions. You know how to build scalable analytics capabilities, develop strong teams, and translate complex information into clear recommendations for senior stakeholders. You are comfortable working in a fast-growing environment where systems and processes need to evolve quickly. You can balance strategic leadership with hands-on problem-solving when needed. You care about data accuracy, but you also understand that the ultimate value of analytics comes from improving decisions, performance, and business outcomes. Experience We Value 8+ years of experience in data analytics, business intelligence, data engineering, performance analytics, or a related field, including leadership experience. Experience building or scaling a data and analytics function. Strong SQL skills and experience working with modern data warehouses and analytics infrastructure. Experience with BI and visualization tools such as Looker, Tableau, Power BI, or similar platforms. Experience designing dashboards, KPI frameworks, reporting systems, and performance measurement processes. Strong understanding of marketing analytics, paid media measurement, attribution, customer acquisition, and e-commerce performance. Experience working with large, complex datasets from multiple platforms and business systems. Familiarity with data pipelines, ETL/ELT processes, data modeling, and data quality management. Experience managing, mentoring, and developing analytics professionals. Strong business judgment and the ability to communicate analytical findings to non-technical stakeholders. Experience in an agency, DTC, e-commerce, performance marketing, or high-growth technology environment is valuable. Familiarity with AI-driven analytics, predictive modeling, experimentation, or marketing measurement solutions is a plus. Why Join Advantage HQ This is an opportunity to shape the data and analytics capabilities behind a rapidly growing, creator-led growth organization. You will have significant ownership over how we collect, structure, measure, and use data across the business. Your work will directly influence strategic decisions, operational efficiency, media performance, and our ability to scale. You will help build the analytical foundation that connects our media spend, creative output, creator network, proprietary technology, and client outcomes into a clearer picture of business performance. Location Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. We care far more about ownership, judgment, analytical rigor, and execution than geography. If you're excited about building scalable data systems, leading high-performing analytics teams, uncovering insights that drive growth, and helping a rapidly growing organization make better decisions, we'd love to hear from you.

Location: Annapolis Junction, MD, United States Job Title Principal‑Level Software Engineer (Java, Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Principal‑Level Software Engineer to create custom analytics that perform at scale. The engineer will work closely with data scientists and end users to develop analytic tools that support discovery and tradecraft around critical global challenges and operationalize data science within customer environments. Key Duties • Work directly with data scientists and mission analysts to solve complex strategic problems • Perform end‑to‑end software engineering to prototype, develop, integrate, test, and deploy analytic tools • Integrate tools and tradecraft into customer corporate architectures • Support the operationalization of data science solutions at scale Requirements • Bachelor’s degree with eleven (11) years of relevant experience, or equivalent • Strong experience with Jupyter Notebooks, Java MapReduce, and Python PySpark • Strong experience with statistical analysis and machine learning fundamentals • Strong experience with customer tools, architecture, data flow, and big‑data environments • Proficiency with Jira, Confluence, and GitLab • Experience working in Agile development environments • Experience with end‑to‑end software development processes (requirements, design, implementation, testing, integration, deployment, and maintenance) • Experience with data science, Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Technical Writer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a highly skilled Technical Writer, for ADG Creative, an IDS subsidiary to support a complex, technical program requiring the development, maintenance, and oversight of mission-critical documentation. This role involves creating clear, accurate, and accessible documentation for both technical and non-technical audiences, supporting engineering, cybersecurity, and acquisition efforts. The ideal candidate will have strong experience interpreting complex technical material and transforming it into structured documentation that supports operational effectiveness and knowledge management. Key Duties • Create and maintain technical documentation including user guides, reference manuals, training materials, requirements documents, reports, SOPs, and briefings • Translate complex technical concepts into clear, concise documentation for both technical and non-technical stakeholders • Research and interpret highly technical source materials such as engineering drawings, system documentation, and operational procedures • Collaborate with subject matter experts (SMEs), engineers, analysts, and technical teams to gather and validate information • Produce documentation supporting defense acquisition programs, cybersecurity initiatives, analytic tradecraft development, and DoD systems • Maintain ownership of documentation lifecycle, ensuring materials remain accurate, up-to-date, and aligned with evolving workflows • Provide expert-level technical writing, editing, and quality assurance across all phases of documentation development • Support knowledge management initiatives to ensure accessibility and usability of documentation • Perform additional duties as assigned Requirements • Bachelor of Science in Systems Engineering, Computer Science, Information Systems, Engineering Science, or related discipline • Four (4) additional years of technical writing experience may substitute for a Bachelor’s degree • Master’s degree may substitute for two (2) years of experience • Seven (7+) years of experience as a Technical Writer supporting programs of similar scope, type, and complexity • Active TS/SCI clearance with Full Scope Polygraph (FS Poly) required • Demonstrated experience developing technical documentation for complex systems or programs • Proficiency in Microsoft Word, PowerPoint, and Visio • Experience using Confluence • Strong communication skills and ability to work with cross-functional technical teams • Writing sample required • Background in cybersecurity is preferred but not required Compensation Salary $85,000k - $100,000k Benefits

Location: (Multiple States), United States About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Competitive compensation Medical and dental benefits 401K plan Unlimited PTO Paid holidays Professional development reimbursement

Location: (Multiple States), United States About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Competitive compensation Medical and dental benefits 401K plan Unlimited PTO Paid holidays Professional development reimbursement

Location: Mexico AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Argentina AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Optional relocation assistance to Latin America after your trial period Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Uruguay AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Brazil AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Optional relocation assistance to Latin America after your trial period Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Gurgaon, India NEOLYTIX Assistant Manager, RCM Business Excellence Revenue Cycle Management  |  Governance & Performance  |  Gurugram DEPARTMENT RCM Business Excellence EXPERIENCE 6–8 Years LOCATION Gurugram (Onsite) SHIFT India Hours | US AM Overlap REPORTS INTO President & COO ⚠  This is not a delivery role. You will not run RCM accounts, manage billing teams, or handle client escalations. You will own the independent measurement layer that tells leadership whether delivery is doing what it committed to do. If you want to go deeper into governance and analytics rather than climb an operations delivery ladder, read on. About the Role Neolytix is a US-headquartered healthcare managed services organization running RCM, credentialing, and provider services for 270+ provider organizations across the US. Our delivery teams operate from Gurugram, Manila, and Chicago. We are creating a new seat: Assistant Manager, RCM Business Excellence. This is the founding role of an independent governance function. You will sit alongside delivery, not inside it: your mandate is to define what good process looks like for every RCM account, measure whether it actually happens, and give leadership numbers they can act on. Quality assurance reports to you. You define the metrics, own the cadence, and build the function as it scales. The shift is India business hours with overlap into the US morning for leadership reviews. This is not a night shift role. If you have spent your RCM career on a night shift at a BPO, that changes here. What You Will Own 1. Process SLA Conformance Define the committed process standard per RCM account: charge lag, posting turnaround, AR touch cadence, denial resolution timelines, and aging thresholds. Track actual performance against committed standards at a granular level. Strategic accounts reviewed weekly, the rest monthly. Flag risks proactively with proposed solutions before they breach SLAs. 2. Monthly Performance Insight Build the monthly performance pack from daily productivity and quality data. The standard: a reader can act on it without asking a follow-up question. Breaches carry a named owner and a resolution date. Last month's breaches are re-checked before new ones are raised. Contribute to weekly and monthly dashboards shared with delivery leadership and, where relevant, clients. 3. Quarterly Financial Review Analyse financial performance across all RCM accounts: charges, collections, AR aging, denial rate, net collection rate, and cost to collect. Present trends to senior leadership each quarter. You will be supported in building this, and expected to stand behind your conclusions when challenged. 4. Quality Function Ownership Line management of the Quality Lead and QA analysts. You own the sampling plan, audit calendar, scoring consistency, and auditor calibration. Ensure QA findings reach the floor and drive change, rather than living in a report. Audit team output for accuracy; identify recurring error patterns and drive corrective action. 5. Process Change Measurement When a new coding guideline, SOP, or process rule goes out, measure whether it was adopted and what it did to denials or rework. Rule issued, adoption measured, impact quantified, result fed back. Close the loop, do not just report the issuance. What You Bring Must-Have 6 to 8 years in US healthcare RCM operations, with hands-on exposure to AR and denials and a working understanding of how process failure shows up in revenue. Experience building a reporting, MIS, or business excellence function from scratch: defining the metrics, sourcing the data, establishing the cadence. Inheriting and running a function is not the same thing. Fluency in RCM financial metrics: net collection rate, AR aging distribution, denial rate, first-pass yield, cost to collect. You can explain what moves each one, not just report the number. Advanced Excel and working SQL. You use SQL to validate data, not to list it as a skill. Confidence presenting findings to senior leadership and holding a position when challenged. This means publishing numbers that make delivery look bad when the numbers say so. Strong Preference Six Sigma Green Belt or equivalent process excellence training you have actually applied to a live project, not just certified. Experience across multiple billing platforms (AdvancedMD, Athenahealth, Kareo, Epic, Centricity, or similar) and the data normalisation that comes with it. Prior management of a small quality or audit team. Power BI familiarity, though the analytics team owns the front end. Nice-to-Have Healthcare analytics firm or BPO process excellence background. Experience designing and running an MIS reporting function in a US RCM environment. Exposure to SSAE-18 or SOC 2 audit readiness in an RCM context. Who You Are You publish findings that make the delivery team look bad, and you sleep fine afterward. If you soften conclusions to keep the peace, this is the wrong seat. You build something and then measure whether it worked. The artifact is not the point; the change it produced is. You ask what a number means before you report it. A chart that describes what happened is the beginning of the work, not the end. You would rather be right and uncomfortable than comfortable and wrong. Eligibility Criteria Education: Graduate degree, any discipline. An analytical or healthcare-adjacent background is preferred. Communication: Excellent spoken and written English. You will present to the COO and CEO quarterly. Communication below this standard will not progress past the screening stage. Shift: India business hours with US morning overlap for leadership reviews. Onsite, Gurugram. Notice Period: Up to 60 days preferred. Beyond 60 days considered only for an exceptional profile. Performance Expectations What success looks like across the first year: Day 30: a current-state assessment published that honestly names what can and cannot be measured today. No softening. Day 60: SLA conformance tracking live for strategic accounts. Day 90: SLA conformance extended to the full RCM book. Month 3 onward: monthly performance pack running reliably. Leadership reads it and acts on it. Year 1: four quarterly financial reviews delivered and defended, MIS Analyst hired and producing independently, at least one process change closed end to end with adoption measured and impact quantified. End of year 1: the business argues from your numbers rather than about them. Career Path This is the founding seat of a function, not a standalone role. Business excellence and governance are established career tracks in RCM that run to Director and VP level at the large players. We are building ours from its first hire. Now AM, RCM Business Excellence RCM book: quality and MIS 12–18 Months Manager Team of 3–5; governance across RCM Next Senior Manager / AD Governance across service lines Beyond Director / VP, Business Excellence The function at company scale The move to Manager is earned against stated milestones, not time served. The rungs beyond it describe where the function is heading as the business grows. Hiring Process Stage 1: TA screening call (30 minutes). Role fit, domain depth check, and shift confirmation. Stage 2: Functional interview with the COO (45 to 60 minutes). Process knowledge, multi-account RCM experience, measurement approach, and how you handle findings that are unwelcome. Stage 3: Analytical exercise. A take-home case using real account data with a genuine deterioration in it. You have 3 days to complete it. We are watching whether you reach for root cause or describe the chart. Stage 4: Conversation with the CEO (45 minutes). Scope discussion, career trajectory, and how you think about building a governance function. Stage 5: Reference checks (minimum 2 calls). Specifically: an occasion when this person delivered findings that were unwelcome, and what happened next. Stage 6: Offer. Why Join Neolytix Founding Seat of a Function You own this from its first hire. The metrics, the cadence, the standard: none of it exists yet. That is rare at this level and reads strongly on a CV. Scope from Day One The whole RCM book, not one account or one process. At AM level in most RCM organisations you own a slice. Here you own the view across all of it. Day Shift, Not Night India business hours with US morning overlap. Not a night shift role. If you have spent your career on a night shift, this changes here. AI Makes This More Important As automation absorbs transactional delivery work, the measurement and governance layer becomes a larger share of the organisation. We are building an RCM platform now, and its analyst roles report into this function.

Location: Chisinau, Moldova We are seeking a Mid-Level Mobile QA Engineer to ensure the quality, reliability, and usability of iOS and Android mobile applications, including FinTech functionalities, through manual testing and an increasing focus on test automation. The role involves planning and executing functional, regression, integration, usability, compatibility, and exploratory testing across mobile devices, operating-system versions, backend services, and third-party integrations. The QA Engineer will also design, develop, and maintain automated tests that provide stable and meaningful coverage of critical user journeys. The Mobile QA Engineer will analyze business and technical requirements, identify risks and acceptance criteria, prepare test scenarios and test data, and communicate defects clearly to developers, business analysts, product owners, and other stakeholders. The role includes planning and tracking quality activities in Jira within an Agile delivery framework. Additionally, the QA Engineer is expected to contribute to release readiness, continuous quality improvement, and shift-left testing practices. The candidate demonstrates solid mobile testing experience, an automation-oriented mindset, attention to detail, and the ability to investigate issues across the mobile application, APIs, backend services, and device environment. Basic Requirements • Ability to understand mobile application architecture, user journeys, business rules, and integrations with backend services. • Capability to plan and execute manual testing independently and to develop or maintain automated tests with limited guidance. • Strong discipline in test design, defect reporting, test evidence, traceability, and quality documentation. • Ability to reproduce, isolate, and investigate defects using logs, API responses, device information, and test data. • Willingness to maintain reusable test cases, automation code, test data, and release-quality documentation. • Familiarity with Agile methodologies (Scrum/Kanban) and cross-functional teamwork. • Understanding of mobile usability, accessibility, performance, network conditions, and device/OS fragmentation. Key Responsibilities Mobile QA Testing Responsibilities • Review requirements, user stories, designs, and acceptance criteria to identify ambiguities, risks, dependencies, and test conditions early in the delivery lifecycle. • Design, maintain, and execute test plans, checklists, test cases, exploratory charters, and regression suites for iOS and Android applications. • Perform functional, integration, end-to-end, regression, smoke, sanity, usability, compatibility, and localization testing. • Validate mobile application behavior across supported devices, screen sizes, operating-system versions, orientations, permissions, and installation or upgrade paths. • Test application behavior under variable network conditions, interrupted sessions, background/foreground transitions, notifications, deep links, and offline or low-connectivity scenarios. • Validate REST APIs, backend integrations, authentication flows, and data consistency using tools such as Postman, Swagger/OpenAPI, or comparable solutions. • Design, develop, execute, and maintain reliable automated tests for critical mobile user journeys using Appium or comparable mobile automation frameworks. • Improve automation coverage, test stability, execution time, reporting, and maintainability while investigating flaky tests and failed runs. • Prepare and manage test data and test environments, including mocks or stubs where appropriate. • Log defects with clear reproduction steps, expected and actual results, severity, evidence, environment details, and relevant diagnostic information. • Perform defect verification, regression impact analysis, root-cause collaboration, and quality sign-off recommendations for releases. • Collaborate closely with mobile developers, backend engineers, business analysts, UX/UI designers, DevOps engineers, product owners, and business stakeholders. Quality, Security & Release Responsibilities • Apply risk-based testing and contribute to quality criteria, test strategy, release gates, and Definition of Done. • Validate secure authentication, authorization, session handling, permissions, sensitive-data exposure, and other relevant mobile security controls. • Integrate automated tests into CI/CD pipelines and review execution results to provide timely feedback on build quality. • Support release validation for development, test, staging, and production environments, including app-store candidate builds when required. • Monitor production quality indicators, logs, crash reports, analytics, and customer-reported issues to identify regression risks and improvement opportunities. • Track and communicate testing progress, coverage, defect trends, residual risks, and release-readiness recommendations. Required Skills & Qualifications • 3+ years of hands-on software testing experience, including practical testing of native or cross-platform iOS and Android applications. • Strong knowledge of software testing principles, test design techniques, defect lifecycle, and risk-based testing. • Demonstrated experience in manual functional, regression, integration, exploratory, and compatibility testing. • Practical experience developing or maintaining mobile UI automation using Appium or a comparable framework. • Working knowledge of at least one programming or scripting language used for test automation, such as Java, C#, JavaScript/TypeScript, Python, or Kotlin. • Experience testing REST APIs and analyzing JSON data, HTTP requests, responses, status codes, and authentication mechanisms. • Experience with Git-based version control and familiarity with CI/CD workflows. • Experience using Jira or a comparable work-management and defect-tracking system. • Strong analytical, troubleshooting, and problem-solving skills, with consistent attention to detail. • Good communication skills and the ability to collaborate across technical and non-technical teams. Preferred Qualifications • Experience with native automation frameworks such as XCTest/XCUITest or Espresso/UI Automator. • Familiarity with cross-platform technologies such as Flutter, React Native, or .NET MAUI. • Experience with device farms and cloud testing platforms such as BrowserStack, Sauce Labs, Firebase Test Lab, or comparable services. • Exposure to performance, accessibility, security, or resilience testing for mobile applications. • Familiarity with log analysis, crash-reporting, monitoring, and analytics tools such as Firebase Crashlytics or comparable solutions. • Experience validating push notifications, deep links, biometrics, payments, or other mobile-specific integrations. • Familiarity with ISTQB practices or relevant testing certifications is considered an advantage. Additional Information • Work environment: Agile, collaborative, cross-functional, with a strong focus on customer experience, product quality, reliability, and continuous improvement. • Location: Office-based or hybrid, depending on project and team needs. • Team structure: Cross-functional mobile product team with direct collaboration across engineering, product, design, business analysis, and operations. Summary This role contributes directly to delivering reliable, secure, and user-friendly mobile applications that support the company’s digital customer journeys. The Middle Mobile QA Engineer will combine disciplined manual testing with sustainable automation, provide clear visibility into product quality and release risk, and help embed quality throughout the mobile development lifecycle.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Data Excellence Manager to join our Data & Analytics organization, leading cross-functional data initiatives and processes. This role will help drive data alignment and visibility, creating a shared language and consistent processes in how data projects & resources are defined, managed, allocated & delivered across the organization. The role combines data excellence with strong project and process management. You will work with business stakeholders, Analysts, Data Engineers, and Data Scientists to translate business needs into clear requirements, establish effective working processes, and ensure that trusted data products and initiatives are delivered successfully. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include: Lead cross-functional data initiatives from requirements through production and business adoption, defining deliverables, milestones, owners & success criteria. Establish processes for intake, prioritization, resource allocation, and delivery of data products and analytical support. Define standards for data quality, ownership, documentation, access, and change management; drive resolution of data-quality issues. Drive accountability for delivery commitments through regular sprint and project reviews. Analyze planned versus actual delivery, resource allocation, and stakeholder feedback to improve planning, time estimates, and the balance between planned and ad hoc work. Own the business glossary, aligning terms, KPIs, calculations, sources, and owners. Partner with Data Platform teams, analysts, and business stakeholders to understand how data is ingested, structured, and transformed, and ensure consistent business definitions from raw tables to dashboards and business use Proactively communicate progress, successes, delays & risks to stakeholders. We expect you to have: Experience in data excellence, governance, quality, analytics, BI, data product management, or a related field. Proven track record of managing cross-functional projects from requirements through implementation and adoption. Technical fluency to work with data functions on ingestion, table structures, and supporting processes, connecting these to front-end analytics and business use. Strong understanding of data quality, KPI definitions, ownership & documentation. Strong project and process management skills, including prioritization, estimation, dependency management, and delivery reviews across concurrent initiatives. Ability to translate business needs into actionable data requirements, clearly communicate progress, outcomes, and trade-offs. A pragmatic, business-oriented mindset, with strong ownership, accountability, and a commitment to continuous improvement. Working knowledge of spoken and written English It will be an added bonus if you have: Experience with Tableau, Salesforce, DBT, data catalogs, or cloud data platforms. Experience with executive / functional reporting, self-service analytics, AI-powered data products Familiarity with data classification, privacy, security, and access controls. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Algiers, Algeria; Algeria (East); Algeria (West) Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. About the role : As a Product Manager at Yassir, you will be responsible for driving product initiatives from inception through execution. In this role, you will collaborate closely with designers, engineers, analysts, and other cross-functional team members within the organization to ensure that our products amaze and delight our users. You would be a leader who works in a highly collaborative environment, focused on building products in a lean way, as well as building strong relationships with your stakeholders and other product teams. If you like working in a product culture where teams value rapid testing and learning, then this is a great opportunity for you. About your role as Product Manager : Co-create, coordinate and facilitate your team's product discovery process Work with cross-functional collaborators, such as engineers, product designers, and marketers, to validate product ideas through a variety of product discovery frameworks and methods Work closely with users and stakeholders to understand their needs and objectives, and to gain a deep understanding of the problem space through workshops and research Conduct secondary and primary research, prototyping, and experiments (e.g. defining and understanding of proto-personas, customer journeys, customer interviews) Translate customer insights into prioritized product ideas or experiments to be tested on the market and with customers Synthesize data to make strategic evidence-based recommendations founded on the business, market, and customer needs Facilitate and actively collaborate in the development of business models, go2market plans, and early-traction tactics for products to be launched in collaboration with our clients, the product team, and other experts (e.g. marketing) Facilitate agile ceremonies in order to deliver a product or product initiatives in a timely manner and agreed on the quality‍ About your experience : Minimum of 3 years of proven experience in product management with digital products or in a similar product role at a Mobility, last mile, or quick delivery Startup. A track record of launching consumer-facing digital products and services (B2B or B2C) Experience working with scale-ups Ability to create and execute a customer discovery process to gather pains and opportunities Ability to design and run various ideation workshops Presentation skills and storytelling Understanding of how to integrate analytics into a product for generating useful information Understanding of the importance of branding and when it's important and when it's not A strong understanding of value proposition design and what makes for a successful venture Excellent verbal and written communication skills with the ability to communicate and influence stakeholders at all levels Knowledge of modern development practices like agile and scrum General understanding of the technical aspects in digital product development with the ability to work closely with technical engineers and get the best out of them Strong design sense with the ability to collaborate with designers to produce great work Ability to manage stakeholders across the business and clients Passion for digital products and human-centered design Dependable, enthusiastic, curious with great energy and the ability to work in a fast-paced, dynamic environment Fluent English Nice to have : Knowledge of lean startup techniques and what a good MVP should be across B2B and B2C Technical, consulting, or design background Understanding of metrics and how to define them for different companies and products Understanding of behavioral psychology and how to make products with high engagement and stickiness Understanding of the growth process across Acquisition, Activation, Retention, Referral and Revenue At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Location: Thailand - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive. MISSION Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour. OUTCOMES Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities How the tiers differ: On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution. HOW YOU’LL RAMP By Day 30: Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals By Day 60: Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed Lead technical onboarding or integration work for at least one account Monitor health signals across your accounts and flag at least one emerging risk to the account team By Day 90: Carry your full account portfolio, including your share of 24/7 coverage Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering WHAT YOU’VE ACCOMPLISHED Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution A genuine love of helping and teaching people, and excellent written communication skills in English Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus Experience with ticketing systems such as Zendesk and YouTrack The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation Experience working on remote, globally distributed teams Openness to feedback and to others’ opinions and ideas, and eagerness to grow Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Serbia - Remote; Spain - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive. MISSION Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour. OUTCOMES Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities How the tiers differ: On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution. HOW YOU’LL RAMP By Day 30: Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals By Day 60: Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed Lead technical onboarding or integration work for at least one account Monitor health signals across your accounts and flag at least one emerging risk to the account team By Day 90: Carry your full account portfolio, including your share of 24/7 coverage Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering WHAT YOU’VE ACCOMPLISHED Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution A genuine love of helping and teaching people, and excellent written communication skills in English Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus Experience with ticketing systems such as Zendesk and YouTrack The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation Experience working on remote, globally distributed teams Openness to feedback and to others’ opinions and ideas, and eagerness to grow Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Costa Rica - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive. MISSION Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour. OUTCOMES Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities How the tiers differ: On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution. HOW YOU’LL RAMP By Day 30: Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals By Day 60: Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed Lead technical onboarding or integration work for at least one account Monitor health signals across your accounts and flag at least one emerging risk to the account team By Day 90: Carry your full account portfolio, including your share of 24/7 coverage Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering WHAT YOU’VE ACCOMPLISHED Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution A genuine love of helping and teaching people, and excellent written communication skills in English Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus Experience with ticketing systems such as Zendesk and YouTrack The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation Experience working on remote, globally distributed teams Openness to feedback and to others’ opinions and ideas, and eagerness to grow Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds. - Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation. - Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny. - Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents. Requirements Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team. - Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns. - Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker). - Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong. - Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models. Bonus: - Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale. - Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools. - Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access.   LOCATION This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Serbia; Georgia; Cyprus; Armenia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Senior CRM Manager to join our team! Your main tasks will be: Generate hypotheses based on analytical data, customer journey maps (CJM), key business metrics, and lifecycle and loyalty metrics. Create business specifications with measured potential business effects. Launch experiments using classic CRM channels (email, app/web push, SMS) and on-product channels (pop-ups, banners, chats, etc.). Analyze the results of the conducted experiments. Taking ownership of one of the business's most valuable CRM initiatives (increasing retention of high ARPPU clients, preventing churn, etc.). Proactively interact with key stakeholders, product managers, UX teams, development teams, and data analysts. Initiating improvements to processes and products, launching new channels, and using unusual mechanics to achieve business goals. We expect from you: Experienced with CRM/CDP Systems, HTML, Google Sheets / Excel, Jira / Confluence, Any BI-systems Understanding the main CRM metrics: OR, CR, CTOR, retention rate, churn rate, unsub rate etc. High level of knowledge and experience working with key business metrics: revenue, ARPPU, LTV etc. Strong command of both Russian and English (B2+) is a must. Experience with SQL would be a plus What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!