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Location: AL, United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: GA, United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 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: (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: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Senior Marketing Analytics Consultant's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 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: Kazakhstan, Remote/Kazakhstan Workplace: onsite Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We are looking for a Lead, Information Security to lead and shape Tabby’s information security function across both strategic and technical domains. This role will lead and own key security programmes across cloud security, security architecture, application security, vulnerability management, threat detection and incident response. Key Responsibilities Lead and contribute hands-on to security architecture and technical security reviews across cloud, infrastructure and product initiatives. Design and implement security controls across GCP and AWS , including IAM, CSPM and cloud-native security. Drive and contribute to Secure SDLC / DevSecOps , including SAST, DAST, SCA and container security. Lead vulnerability management and actively participate in penetration testing, VAPT and red/purple team engagements. Design and improve threat detection, SIEM use cases and security monitoring. Lead and participate in complex security incident investigations and response. Drive endpoint, infrastructure, network and firewall security initiatives. Automate security processes and develop security tooling where needed. Establish technical standards, security best practices and operating procedures. Support and mentor a team of security engineers and analysts. Work closely with Engineering, Infrastructure, Product, IT, Legal and Compliance teams to embed security across Tabby. Skills, Knowledge and Expertise Strong experience leading Information Security / Cyber Security functions in a senior technical or management role. 5+ years of experience in Information Security or Cybersecurity, with at least 2 years in a technical leadership or senior individual contributor role. Deep expertise across Cloud Security, Security Architecture, VAPT, AppSec/DevSecOps and Defensive Security . Experience leading security programmes and managing cross-functional initiatives. Strong knowledge of GCP/AWS, IAM, CSPM, SIEM, EDR/XDR and vulnerability management . Strong understanding of penetration testing, red/purple teaming, threat hunting and incident response . Experience with SAST, DAST, SCA and container security within CI/CD environments. Strong understanding of security architecture, threat modelling and enterprise security controls. Experience working within a regulated FinTech or banking environment . Knowledge of CBUAE, UAE PDPL, PCI-DSS, ISO 27001 and SOC 2 . Proven stakeholder management and strategic decision-making skills. CISSP/CISM and OSCP or equivalent certifications are preferred/required depending on the final hiring criteria.

Location: Yerevan, Remote/Yerevan Workplace: onsite Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We are looking for a Lead, Information Security to lead and shape Tabby’s information security function across both strategic and technical domains. This role will lead and own key security programmes across cloud security, security architecture, application security, vulnerability management, threat detection and incident response. Key Responsibilities Lead and contribute hands-on to security architecture and technical security reviews across cloud, infrastructure and product initiatives. Design and implement security controls across GCP and AWS , including IAM, CSPM and cloud-native security. Drive and contribute to Secure SDLC / DevSecOps , including SAST, DAST, SCA and container security. Lead vulnerability management and actively participate in penetration testing, VAPT and red/purple team engagements. Design and improve threat detection, SIEM use cases and security monitoring. Lead and participate in complex security incident investigations and response. Drive endpoint, infrastructure, network and firewall security initiatives. Automate security processes and develop security tooling where needed. Establish technical standards, security best practices and operating procedures. Support and mentor a team of security engineers and analysts. Work closely with Engineering, Infrastructure, Product, IT, Legal and Compliance teams to embed security across Tabby. Skills, Knowledge and Expertise Strong experience leading Information Security / Cyber Security functions in a senior technical or management role. 5+ years of experience in Information Security or Cybersecurity, with at least 2 years in a technical leadership or senior individual contributor role. Deep expertise across Cloud Security, Security Architecture, VAPT, AppSec/DevSecOps and Defensive Security . Experience leading security programmes and managing cross-functional initiatives. Strong knowledge of GCP/AWS, IAM, CSPM, SIEM, EDR/XDR and vulnerability management . Strong understanding of penetration testing, red/purple teaming, threat hunting and incident response . Experience with SAST, DAST, SCA and container security within CI/CD environments. Strong understanding of security architecture, threat modelling and enterprise security controls. Experience working within a regulated FinTech or banking environment . Knowledge of CBUAE, UAE PDPL, PCI-DSS, ISO 27001 and SOC 2 . Proven stakeholder management and strategic decision-making skills. CISSP/CISM and OSCP or equivalent certifications are preferred/required depending on the final hiring criteria.

Location: Belgrade, Remote/Serbia Workplace: onsite Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We are looking for a Lead, Information Security to lead and shape Tabby’s information security function across both strategic and technical domains. This role will lead and own key security programmes across cloud security, security architecture, application security, vulnerability management, threat detection and incident response. Key Responsibilities Lead and contribute hands-on to security architecture and technical security reviews across cloud, infrastructure and product initiatives. Design and implement security controls across GCP and AWS , including IAM, CSPM and cloud-native security. Drive and contribute to Secure SDLC / DevSecOps , including SAST, DAST, SCA and container security. Lead vulnerability management and actively participate in penetration testing, VAPT and red/purple team engagements. Design and improve threat detection, SIEM use cases and security monitoring. Lead and participate in complex security incident investigations and response. Drive endpoint, infrastructure, network and firewall security initiatives. Automate security processes and develop security tooling where needed. Establish technical standards, security best practices and operating procedures. Support and mentor a team of security engineers and analysts. Work closely with Engineering, Infrastructure, Product, IT, Legal and Compliance teams to embed security across Tabby. Skills, Knowledge and Expertise Strong experience leading Information Security / Cyber Security functions in a senior technical or management role. 5+ years of experience in Information Security or Cybersecurity, with at least 2 years in a technical leadership or senior individual contributor role. Deep expertise across Cloud Security, Security Architecture, VAPT, AppSec/DevSecOps and Defensive Security . Experience leading security programmes and managing cross-functional initiatives. Strong knowledge of GCP/AWS, IAM, CSPM, SIEM, EDR/XDR and vulnerability management . Strong understanding of penetration testing, red/purple teaming, threat hunting and incident response . Experience with SAST, DAST, SCA and container security within CI/CD environments. Strong understanding of security architecture, threat modelling and enterprise security controls. Experience working within a regulated FinTech or banking environment . Knowledge of CBUAE, UAE PDPL, PCI-DSS, ISO 27001 and SOC 2 . Proven stakeholder management and strategic decision-making skills. CISSP/CISM and OSCP or equivalent certifications are preferred/required depending on the final hiring criteria.

Location: -, Remote/Uzbekistan Workplace: onsite Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We are looking for a Lead, Information Security to lead and shape Tabby’s information security function across both strategic and technical domains. This role will lead and own key security programmes across cloud security, security architecture, application security, vulnerability management, threat detection and incident response. Key Responsibilities Lead and contribute hands-on to security architecture and technical security reviews across cloud, infrastructure and product initiatives. Design and implement security controls across GCP and AWS , including IAM, CSPM and cloud-native security. Drive and contribute to Secure SDLC / DevSecOps , including SAST, DAST, SCA and container security. Lead vulnerability management and actively participate in penetration testing, VAPT and red/purple team engagements. Design and improve threat detection, SIEM use cases and security monitoring. Lead and participate in complex security incident investigations and response. Drive endpoint, infrastructure, network and firewall security initiatives. Automate security processes and develop security tooling where needed. Establish technical standards, security best practices and operating procedures. Support and mentor a team of security engineers and analysts. Work closely with Engineering, Infrastructure, Product, IT, Legal and Compliance teams to embed security across Tabby. Skills, Knowledge and Expertise Strong experience leading Information Security / Cyber Security functions in a senior technical or management role. 5+ years of experience in Information Security or Cybersecurity, with at least 2 years in a technical leadership or senior individual contributor role. Deep expertise across Cloud Security, Security Architecture, VAPT, AppSec/DevSecOps and Defensive Security . Experience leading security programmes and managing cross-functional initiatives. Strong knowledge of GCP/AWS, IAM, CSPM, SIEM, EDR/XDR and vulnerability management . Strong understanding of penetration testing, red/purple teaming, threat hunting and incident response . Experience with SAST, DAST, SCA and container security within CI/CD environments. Strong understanding of security architecture, threat modelling and enterprise security controls. Experience working within a regulated FinTech or banking environment . Knowledge of CBUAE, UAE PDPL, PCI-DSS, ISO 27001 and SOC 2 . Proven stakeholder management and strategic decision-making skills. CISSP/CISM and OSCP or equivalent certifications are preferred/required depending on the final hiring criteria.

Location: Tbilisi, Remote/Tbilisi Workplace: onsite Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We are looking for a Lead, Information Security to lead and shape Tabby’s information security function across both strategic and technical domains. This role will lead and own key security programmes across cloud security, security architecture, application security, vulnerability management, threat detection and incident response. Key Responsibilities Lead and contribute hands-on to security architecture and technical security reviews across cloud, infrastructure and product initiatives. Design and implement security controls across GCP and AWS , including IAM, CSPM and cloud-native security. Drive and contribute to Secure SDLC / DevSecOps , including SAST, DAST, SCA and container security. Lead vulnerability management and actively participate in penetration testing, VAPT and red/purple team engagements. Design and improve threat detection, SIEM use cases and security monitoring. Lead and participate in complex security incident investigations and response. Drive endpoint, infrastructure, network and firewall security initiatives. Automate security processes and develop security tooling where needed. Establish technical standards, security best practices and operating procedures. Support and mentor a team of security engineers and analysts. Work closely with Engineering, Infrastructure, Product, IT, Legal and Compliance teams to embed security across Tabby. Skills, Knowledge and Expertise Strong experience leading Information Security / Cyber Security functions in a senior technical or management role. 5+ years of experience in Information Security or Cybersecurity, with at least 2 years in a technical leadership or senior individual contributor role. Deep expertise across Cloud Security, Security Architecture, VAPT, AppSec/DevSecOps and Defensive Security . Experience leading security programmes and managing cross-functional initiatives. Strong knowledge of GCP/AWS, IAM, CSPM, SIEM, EDR/XDR and vulnerability management . Strong understanding of penetration testing, red/purple teaming, threat hunting and incident response . Experience with SAST, DAST, SCA and container security within CI/CD environments. Strong understanding of security architecture, threat modelling and enterprise security controls. Experience working within a regulated FinTech or banking environment . Knowledge of CBUAE, UAE PDPL, PCI-DSS, ISO 27001 and SOC 2 . Proven stakeholder management and strategic decision-making skills. CISSP/CISM and OSCP or equivalent certifications are preferred/required depending on the final hiring criteria.

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Technical Product Manager with a strong system analysis background to join Tabby’s Financial Platform domain. Every product Tabby launches passes through this domain. We define the financial logic behind each product: how it charges, settles, accounts, and reports. We make sure every launch meets regulatory and financial audit requirements, and we turn one-off needs into reusable platform solutions that the rest of the company builds on. This is a cross-functional role spanning product, system design, financial operations, and platform architecture. It suits you if you want to shape how the financial side of every product is designed, and to see those designs through to robust, best-in-class implementation. What you’ll do: Turn business, product, finance, and regulatory needs into clear system requirements and implementation-ready specifications Define how money and financial data flow end to end across products, partners, and internal systems, from transaction to accounting record Contribute to platform architecture and service interaction design across product services and CoreBank components Work with PMs, engineers, Finance, Compliance, and adjacent teams to define scope, dependencies, and delivery phases Identify the services, integrations, and teams affected by each change Shape and prioritize the team backlog with the product lead Support engineering and QA through implementation, covering edge cases, expected behavior, and incident analysis Keep technical and functional documentation current and usable for engineers and business stakeholders alike What you’ll bring: 3+ years as a Technical PM, System Analyst, or Business Analyst Upper-Intermediate English or higher Ability to break down large business processes into clear technical flows Experience with distributed, service-based architectures Solid API and integration design knowledge (REST, SOAP, gRPC) Strong documentation skills: functional specs, sequence diagrams, state models, API contracts, data models Knowledge of UML, BPMN, or similar notations Strong plus: Fintech, payments, banking, wallets, cards, lending, or ledger/accounting experience Hands-on work with financial transactions, reconciliation, or money movement systems Exposure to regulated environments, such as central bank requirements or e-invoicing ERP integration experience (NetSuite or similar) Product mindset and appetite for broader ownership over time What success looks like: Ambiguous financial, product, or regulatory requirements become clear, scalable platform designs Teams ship changes safely in critical money movement systems Reusable platform capabilities improve consistency across products You grow from owning requirements into shaping the direction of the platform What we offer: Full-time B2B contract Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation, and legal setup (if needed).