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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 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 Account Executive uncovers business pains, articulates ROI, and builds the business case that helps prospects modernize how their marketing data works. You'll own a territory end to end — from first outreach to signed contract. Your buyers are marketing leaders, marketing ops and RevOps, and the data and analytics teams behind them. Some come to us; many you'll go and find yourself. It's a consultative, multi-stakeholder sale with a technical validation stage, so you'll work closely with our Sales Engineers along the way. Responsibilities Achieve a quarterly revenue quota across new business and expansion in your territory. Proactively generate new pipeline — you'll be expected to self-source at least 35% of your own opportunities, not just work inbound. Own the full sales cycle: discovery, demo, technical validation with a Sales Engineer, business case and ROI, executive presentation, negotiation and close. Build multi-threaded relationships — bring the technical evaluator, the budget owner, and your champion into the process early rather than running a deal through a single contact. Qualify with discipline. Confirm budget, decision path, and the real cost of doing nothing before pulling in technical resources — and walk away early from deals that aren't a fit. Become an expert at using Improvado's software, and at the marketing problems it solves. Coordinate the internal resources needed to win — Sales Engineering, Marketing, Customer Success — and keep every deal moving. Keep the CRM accurate and forecast honestly. Use AI in your day-to-day workflow — account research, call prep, follow-ups, first drafts. We'll expect you to work the way the company works. Leverage your creativity, intellect, and attitude in order to win new business. Qualifications 5+ years in a quota-carrying, full-cycle SaaS Account Executive role. 2+ years of experience in the MarTech/AdTech space. A track record of carrying and hitting a significant annual quota — you can walk through your numbers year by year with real examples. Experience selling to large enterprise organizations with multiple stakeholders and formal buying processes. Real outbound prospecting experience — you've built pipeline from scratch, not only worked inbound. Familiarity with ad platforms and the digital marketing funnel, and the metrics marketers are measured on. Comfortable in a technical sale — you can hold a credible conversation with a data team and then reframe it for a marketing leader. Experience in successfully initiating sales cycles with C-level executives. Ability to thrive in a constantly changing and evolving work environment. Emotional intelligence, natural curiosity, strong listening skills, and coachability. Superior communication and organizational skills. Comfortable with a modern sales stack (CRM, call recording and coaching tools, prospecting and enrichment tools, LinkedIn Sales Navigator) and with using AI tools in your own workflow. Experience working in a startup. Nice to have Experience selling to or working inside agencies. Formal training in a qualification methodology (MEDDIC / MEDDPICC or similar). 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: Serbia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Georgia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Armenia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Brazil We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Argentina We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Serbia 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: 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: Georgia 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: 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: (Multiple States), United States About Improvado 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 Genentech, T-Mobile, 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 Improvado is hiring a Go-to-Market Engineer to build and run the engine that generates sales pipeline, then step into deals to help close them. You report directly to the VP of Sales. You’ll build agentic go-to-market loops with the Improvado platform at their core, first for our own sales motion, then for our customers. Our GTM is the lab for what we sell, and you run it. This is a team-of-one role with no SDR layer behind you. That means real ownership: you own outbound cadences, the data and tooling stack, and event follow-up. You work directly with the VP of Sales to design and run go-to-market experiments, on Improvado wherever possible, and you work alongside the demand generation team so outbound and advertising hit the same accounts and people. You identify which current customers to expand and with which products. And you are forward deployed: embedded with prospects and customers, building working use cases in their environment, and packaging the experiments that worked in-house into outcome-based projects Improvado sells. It is a hybrid of growth operator, forward deployed builder, and revenue strategist. Most people come to this role strong in one or two of those areas, and we expect you to grow into the rest. If you have done two and are hungry for the third, keep reading. Why you might love this job Direct line to the VP of Sales: you design experiments together and see the results fast. Your work moves pipeline every week, and nothing disappears into a process. You build real, working things on a real platform, for us and for customers. A clear path: become an Improvado expert who builds agentic GTM systems and delivers them to customers. What You’ll Do Outbound pipeline generation Design, build, and run multi-channel outbound cadences (email, LinkedIn, phone) targeting enterprise marketing and data leaders and agency executives (agencies manage data for many brands at once, so one agency win can open several accounts) Write and continuously test messaging, subject lines, and personalization at scale, including AI-assisted personalization Own deliverability, sending infrastructure, and domain health Sales and marketing alignment Work with the demand generation team so outbound and advertising target the same accounts, personas, and buying committees, with one shared target account list Build the operating rhythm between sales and marketing: shared definitions, a common view of account engagement, and a feedback loop from deals back into campaigns Partner with marketing on content and offers; own the sourced-pipeline number on the outbound side Go-to-market experimentation with the VP of Sales Design and run go-to-market experiments with the VP of Sales: messaging by buyer persona, channels, offers, signals, and workflows, each with a hypothesis, a measurement, and a scale-or-kill decision Run them on Improvado wherever possible, so our own go-to-market is the lab for what we sell Maintain a messaging playbook per persona that outbound, advertising, and account executives all draw from, and share results with marketing on a regular cadence Customer expansion Analyze the customer base to identify which accounts we should be upselling and which Improvado products fit each Build expansion plays with Customer Success and account executives, and run the outbound layer of those plays Tooling and data Own the go-to-market tech stack: sequencing, enrichment, intent data, CRM hygiene, and the integrations between them Build and maintain target account lists and contact data with enrichment waterfalls and signal-based triggers Automate the repetitive parts of prospecting so one person operates like a team Event follow-up Run pre-event targeting and outreach for conferences and field events Convert attendees, booth visitors, and scanned leads into qualified meetings within days, not weeks Forward deployed with prospects and customers Learn the Improvado platform deeply: connectors, data models, the AI agent, and dashboards Embed with prospects and customers on active opportunities and expansions to build working go-to-market and marketing-data use cases in their environment. Ship something they use, not a demo Carry what you learn in customer environments back into our own experiments, outbound targeting, and messaging Package and sell what works Turn successful in-house experiments into packaged, outcome-based projects that Improvado sells to customers: the outcome, the data required, the build, and the delivery path Help account executives position and scope those projects as part of the Improvado offer, and deliver the first ones yourself Measurement Track pipeline sourced and influenced by channel, cost per qualified meeting, and conversion through each stage Share a short daily update with the VP of Sales (a quick async summary of numbers and learnings, not a long report) and stop what isn’t working quickly Who You Are 4 or more years in a pipeline-generating or growth role at a B2B SaaS company: outbound, demand generation, growth, revenue operations, or forward deployed / implementation work, ideally more than one of these You have personally built outbound cadences that booked meetings with enterprise buyers, and you can show the numbers You have designed and run structured go-to-market experiments with a clear hypothesis and measurement, and you can tell the story of one that worked and one you killed You have taken something that worked internally and turned it into something a customer paid for You have worked across the sales and marketing boundary and know what it takes to get both teams targeting the same accounts Technical enough to work with APIs, webhooks, SQL, and data pipelines, and to build on a data platform inside a customer’s environment Fluent with AI tools for research, personalization, and automation, and interested in building agents, not just using them Comfortable being a team of one: you set your own priorities, build your own systems, and do not wait for an SDR or an ops team Strong writer. Your emails get replies Curious about marketing data and analytics: you want to understand how a CMO measures performance, not just who to email (we’ll teach you the platform; the curiosity has to be yours) Nice to have Experience selling or marketing to agencies or enterprise marketing teams Background in marketing analytics, ETL, data warehousing, or business intelligence Forward-deployed, implementation, or professional services experience at a data or AI company Experience with customer expansion or account-based programs Hands-on experience building AI agents or automated workflows with LLMs Experience running pre- and post-event programs for conferences Early-stage startup experience, Series A to C Don’t tick every box? Apply anyway. This role combines skills that rarely sit in one person, so we are looking for strong overlap, not a perfect match. What We Offer Compensation: OTE $156,000 – $216,000 USD per year. Final offer depends on experience and skills. Remote-first environment Medical and dental benefits 401(k) plan Unlimited PTO Paid holidays Professional development reimbursement

Location: Riyadh, KSA Workplace: onsite This is a role for a true hunter. We are scaling one of the fastest-moving BNPL platforms in the region, and we are looking for a hungry, self-driven Business Development Executive to take our SME merchant acquisition engine to the next level. This is a 100% outbound sales role — there are no inbound leads and no pre-assigned deals. You'll be set up with the tools and prospect lists to hit the ground running, but building your pipeline from zero is on you. You will own the full sales cycle end-to-end: identifying high-potential SME merchants, opening doors with founders and decision-makers, running consultative discovery, pitching game-changing financial solutions, negotiating commercial terms and driving merchants all the way through onboarding to live activation. If you thrive in a fast-paced, high-growth, entrepreneurial environment, love the thrill of the close, and want real ownership from day one — this is your seat. Key Responsibilities Build the Pipeline — From Zero • Own end-to-end pipeline generation through relentless, self-generated outbound activity. • Use the tools and prospect lists provided as a launchpad — then take the pipeline far beyond them. • Research and map high-potential SME merchants, verticals and micro-markets. • Identify and engage business owners, founders and key decision-makers. • Execute high-volume cold calling, multi-channel outreach, field visits and merchant meetings. • Consistently generate qualified opportunities with zero reliance on inbound or marketing-sourced leads. • Keep the funnel healthy — continuously replenish, qualify and prioritise. • Use CRM and sales data to track your KPIs, read your funnel and sharpen conversion. Sell, Close, Activate • Own opportunities end-to-end: prospect > discovery > pitch > close > onboarding > activation. • Run consultative, value-based discovery with SME owners to uncover real business pain. • Pitch and sell BNPL, LTF and our expanding suite of merchant financial solutions. • Deliver compelling product demos and tailored commercial proposals. • Handle objections with confidence and drive deals to signature. • Stay hands-on until the merchant is fully live and transacting. Commercial & Negotiation • Lead commercial conversations with SME merchants and articulate clear value. • Negotiate within approved commercial frameworks to land win-win outcomes. • Secure the right internal approvals and keep deals moving at pace. • Escalate complex commercial matters appropriately — while retaining full ownership of the opportunity. Cross-Functional Collaboration • Partner closely with Risk, Scoring, Onboarding, Product and Operations. • Understand internal requirements and constraints and work with them, not around them. • Proactively chase down blockers and drive outstanding actions to closure. • Act as the bridge between the merchant and internal stakeholders. • Feed merchant insight and market intelligence back into the business. Merchant Experience & Growth • Support merchants through a smooth, friction-free onboarding journey. • Drive activation and follow up post go-live to ensure adoption. • Spot early issues, capture merchant feedback and route it to the right teams. • Be genuinely merchant-obsessed — the relationship does not end at signature. Product & Market Agility • Become a subject-matter expert on BNPL and LTF. • Ramp fast on new propositions as they launch — including SME Financing and Tabby Card. • Adapt pitch, positioning and messaging as products, processes and market conditions evolve. • Thrive in ambiguity — we are building as we scale. Skills, Knowledge and Expertise • 1–2 years of professional experience in sales, business development or another target-driven commercial role. • Proven outbound sales and prospecting track record — you have personally generated your own pipeline. • Demonstrated ability to create opportunities independently, from a standing start. • Bachelor's degree. • Fluent Arabic and English. • Exceptional communication, presence and interpersonal skills. • Strong commercial acumen and negotiation ability. • Comfortable and energised by a target-driven, high-accountability environment. • Ability to independently own, manage and forecast a pipeline. • Comfortable working with CRM and sales data — tracking KPIs, analysing your funnel and prioritising on evidence (Excel / Google Sheets level) • Grit, resilience, persistence and relentless follow-through. Nice to Have (Not a Deal-Breaker) • B2B or SME sales exposure. • FinTech, BNPL, payments, banking or lending background. • Financial or technology solution selling. • Merchant acquisition or field sales experience. • Track record selling directly to business owners and decision-makers. • CRM proficiency and data-driven pipeline discipline. • Strong Excel / Google Sheets and CRM reporting — pivot tables, dashboards, basic funnel analysis. Benefits We are an international team of inspired professionals located all over the globe. We  have an inclusive company culture, embracing diversity, integrity and transparency. We strive for work-life balance and cherish the moments you spend with your loved ones, off-work. In the same spirit as for our product, we are caring and nurturing for our employees. Our people are granted 100% trust and freedom to apply their own vision and come up with their ideas from day 1 at Tabby. You are the one who takes responsibility for your area of work. We encourage everyone to think and make decisions like Tabby was their own business, well because it is. Our employee stock options programme is available for everyone. You will have an opportunity to learn and grow in one of the fastest growing fin tech companies in the region We offer you relocation support as well as we guide you through all the process. We’ll set you up with the devices required for your work.

Location: Riyadh, KSA 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 Cyber Security Lead to join our Information Security team in Riyadh. You will provide technical leadership across defensive security, while managing a team of security engineers and analysts and driving security initiatives across the organization. Key Responsibilities Lead security architecture and design reviews across IT, cloud, and product initiatives. Drive cloud security across GCP and AWS, including IAM, cloud security posture, and infrastructure security. Lead the Secure SDLC / DevSecOps programme, including application security and security tooling across CI/CD. Own vulnerability management , including vulnerability remediation, penetration testing and red team engagements. Oversee endpoint, infrastructure and network security , including EDR, DLP and firewall security. Lead detection engineering, threat intelligence and incident response , including complex security investigations. Manage and develop a team of security engineers and analysts , including mentoring, performance management and career development. Partner with Engineering, IT, Compliance and other teams to improve Tabby’s overall security posture and security standards. Skills, Knowledge and Expertise 5+ years of experience in cybersecurity / information security , including technical leadership or senior-level responsibilities. Experience leading security programmes across security architecture, cloud security, vulnerability management and application security . Strong understanding of defensive and offensive security , including penetration testing, red/purple teaming, threat hunting and incident response. Hands-on experience with SIEM, EDR/XDR, vulnerability management, CSPM, DLP and security monitoring platforms . Strong knowledge of GCP and/or AWS , IAM, cloud security and infrastructure security. Experience with DevSecOps, Secure SDLC, SAST, DAST, SCA and container security . Strong scripting and automation skills and the ability to develop or oversee security tooling and integrations. Knowledge of SAMA CSF, NCA ECC, PCI-DSS and ISO 27001 . Experience working in a regulated FinTech or banking environment . Strong technical leadership, stakeholder management and team development skills. CISSP/CISM and OSCP or equivalent certifications are required.

Location: Riyadh, KSA 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. As Information Security Engineer , you’ll play a key part in monitoring and defending our infrastructure, applications, and cloud environments from cyber threats. You’ll lead incident response efforts, develop and tune detection rules, investigate security events, and collaborate with cross-functional teams to strengthen our security posture. Key Responsibilities Security Monitoring & Detection Monitor and analyze logs and alerts from a wide range of sources including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoints, servers, and cloud platforms. Perform correlation of events from multiple sources to identify advanced threats and unusual patterns of behavior. Fine-tune alert thresholds and detection logic to reduce false positives and improve signal-to-noise ratio. Maintain dashboards and reporting to provide real-time visibility into security posture. Incident Response & Investigation Serve as a frontline responder for security incidents, managing incidents through their lifecycle – detection, containment, eradication, recovery, and lessons learned. Coordinate with internal stakeholders and external vendors during high-severity incidents or data breaches. Perform root cause analysis and forensic investigations using endpoint and network-based artifacts. Maintain detailed incident documentation and contribute to post-mortem analysis and reports. Threat Intelligence & Detection Rule Development Research emerging threats and trends. Contribute to the creation and tuning of detection rules, threat-hunting queries, and use cases across multiple platforms including cloud environments. Maintaining CTI Platform along with the integration of the CTI feeds with the security controls to have active CTI driven detections. Collaboration and Communication Communicate effectively with cross-functional teams including IT, DevOps, Risk, and Compliance during incidents and investigations. Provide concise and clear updates during incident handling to stakeholders and management. Mentor junior analysts and assist in training efforts within the SOC team. Skills, Knowledge and Expertise 3–4 years of experience in a SOC or cybersecurity operations role, ideally in a fast-paced fintech or enterprise environment. Strong knowledge of security best practices, including incident handling, alert triage, log analysis, and threat modeling. Understanding of online technologies, REST APIs, microservices, and modern application architectures. Experience working in a culturally diverse and collaborative environment. Familiarity with DLP, AV, and anti-malware systems from an operational monitoring perspective. Experience with phishing detection, user behavior analytics, and security awareness campaigns. Security certifications such as Security+, CySA+, eCIR, eCTHPv2, GCIA, or GMON (preferred but not required). Strong communication skills, especially for coordinating incident response and writing clear incident reports. Experience with SIEM platforms , SOAR tools , EDR/XDR , and Threat Intelligence platforms . Familiarity with cloud environments and cloud-native logging and monitoring tools. Scripting experience (e.g., Python ) to automate tasks and improve SOC efficiency.

Location: Buenos Aires, Argentina WE ARE HIRING INTERPRETERS!!! LANGUAGE: Spanish Interpreter Requirements: 90% English proficiency Steady wired internet connection USB Wired headset Windows 10 or MacOS WHAT WE OFFER YOU: Fully remote position with a clear schedule Full-time or part-time position Immediate availability to start working after onboarding Monthly payments Per minute Rate. YOUR RESPONSIBILITIES: Answer calls professionally, acting according to the Interpreter’s code of conduct. Be aware of the specific vocabulary of the industry the interpreter works with (healthcare and medical, specifically). Go into internal professional training. Communicate and report to your team leader. YOUR BACKGROUND AND EXPERIENCE: Proficiency/Bilingual/Native level of English and target language. 1+ years of interpreting experience (Desirable). High emotional intelligence and tolerance of diverse cultures. High level of communication, listening, note-taking, and memory retention skills. WHAT WE OFFER YOU: Fully remote position with a clear schedule Full-time or part-time position Immediate availability to start working after onboarding Internal training

Location: India Gujarati - International Interpreters Language: Gujarati Are you a skilled interpreter looking for a flexible and rewarding opportunity? We are seeking talented individuals proficient in Gujarati and English to join our team of international interpreters. If you have a passion for languages and a commitment to providing excellent service, we want to hear from you! Requirements: 90% English proficiency Steady wired internet connection USB wired headset Windows 10 or Mac What we offer you: Fully remote position with a clear schedule Full-time or part-time position Immediate availability to start working after onboarding Monthly payments Per minute rate Your responsibilities: Answer calls professionally, acting according to the interpreter’s code of conduct Be aware of the specific vocabulary of the industry the interpreter works with (healthcare and medical, specifically) Go into internal professional training Communicate and report to your team leader Your background and experience: Proficiency/bilingual/native level of English and target language 1+ years of interpreting experience (desirable) High emotional intelligence and tolerance of diverse cultures High level of communication, listening, note-taking, and memory retention skills Join us and become part of a dynamic team that values your skills and offers opportunities for growth and development. Apply today and start making a difference in the world of interpretation!