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Location: Serbia Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running. What you'll do Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale Build and maintain Helm charts, Terraform, and multi-environment setups Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch) Administer and optimize storages: PostgreSQL, ClickHouse, Redis Support message brokers: RabbitMQ, AWS SQS, Temporal Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency Participate in on-call rotation What we're looking for 5+ years in a DevOps/SRE role Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch) AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation Strong Linux fundamentals Bash and/or Python scripting Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work EST timezone availability Fluency in English Nice to have Golang or Python development background HashiStack: Vault, Packer ClickHouse administration Experience supporting data-intensive pipelines What we offer Remote-first environment 20 days PTO + US holidays Optional relocation support to Latin America Modern AI-native tech stack Stock options Professional development reimbursement A genuinely fun, transparent startup culture

Location: Uruguay Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running. What you'll do Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale Build and maintain Helm charts, Terraform, and multi-environment setups Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch) Administer and optimize storages: PostgreSQL, ClickHouse, Redis Support message brokers: RabbitMQ, AWS SQS, Temporal Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency Participate in on-call rotation What we're looking for 5+ years in a DevOps/SRE role Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch) AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation Strong Linux fundamentals Bash and/or Python scripting Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work EST timezone availability Fluency in English Nice to have Golang or Python development background HashiStack: Vault, Packer ClickHouse administration Experience supporting data-intensive pipelines What we offer Remote-first environment 20 days PTO + US holidays Optional relocation support to Latin America Modern AI-native tech stack Stock options Professional development reimbursement A genuinely fun, transparent startup culture

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: 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: 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: 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: Gurugram, Haryana, India NEOLYTIX ABM Specialist / Assistant Manager Account-Based Marketing · Healthcare SaaS · Senior Associate / AM band FUNCTION Marketing EXPERIENCE 3–5 Years LOCATION Gurugram (Onsite) SHIFT UK (1:30–10:30) Role Overview Neolytix is a US-headquartered healthcare BPO/KPO serving 280+ healthcare organizations across RCM, Credentialing & Provider Enrollment, Medical Coding, Virtual Medical Assistants, and Payer Analytics, with delivery centers in Gurugram and Manila — including our proprietary InCredibly credentialing platform. We are transitioning from a services company to a Services-as-Software model. The ABM Specialist / Assistant Manager owns Neolytix’s account-based marketing motion across 1:1 (strategic named accounts), 1:few (ICP segment clusters, e.g., rural hospital RCM), and 1:many (programmatic, intent-gated) tiers. You’ll build and run intent-driven account scoring, tiered engagement playbooks, and enrichment workflows in close partnership with Sales, Demand Generation, and Product Marketing — turning signal data into prioritized, sales-ready accounts. Key Responsibilities Account Segmentation & Tiering Define and maintain target-account universes across all three ABM tiers — 1:1 strategic, 1:few ICP clusters, and 1:many programmatic segments. Set tier-specific playbooks: bespoke for 1:1, shared with light personalization for 1:few, and rules-based programmatic for 1:many. Intent Signal Monitoring & Scoring Own recurring intent-signal ingestion (ZoomInfo intent, Apollo, Definitive Healthcare) and convert raw signals into scored account briefs (HOT/WARM/WATCH). Track signal trends (warming/cooling accounts) and flag ICP-fit exceptions before accounts are actioned. Maintain the state/tracking files and cadence that keep signal briefs current and non-duplicative day over day. Enrichment & Data Hygiene Run account and contact enrichment (Apollo, ZoomInfo) once accounts clear a signal threshold — firmographic and contact data complete before handoff. Maintain clean handoff protocols to Sales — CRM record checks, email verification, title confirmation, and sequence-conflict checks — before enrollment. Sales Alignment & Handoff Deliver prioritized, tiered action lists to assigned AEs on a regular cadence; run structured syncs to confirm status, resolve ICP flags, and align on next-best-actions. Maintain campaign-tagging discipline in HubSpot (lead source, ICP tier, campaign name) for attribution. Campaign Design, Reporting & Collaboration Build multi-channel engagement per tier — email, LinkedIn/paid social, direct mail, webinars, events — matched to 1:1, 1:few, or 1:many treatment; partner with Product Marketing on persona-specific messaging (CMO/COO). Report pipeline influenced, account engagement, and signal-to-pipeline conversion to leadership monthly; run post-campaign reviews and a testing roadmap. Act as the connective layer between Sales, Product Marketing, and Demand Generation for all account-based activity. What You Bring Must-Have 3–5 years of B2B marketing, with at least 2 years running ABM programs across 1:1, 1:few, and/or 1:many models. Hands-on with intent data platforms and translating signals into sales-ready account lists. A track record of partnering directly with Sales/AE teams on account strategy and handoff — not just campaign delivery. Hands-on with intent/ABM platforms (ZoomInfo, Definitive Healthcare, Warmly, 6sense, Demandbase, or similar), enrichment (Apollo), and CRM/marketing automation (HubSpot). Strong grasp of account scoring, tiering, and multi-touch campaign design; comfortable building signal-to-pipeline dashboards. Proficiency in HubSpot, Salesforce (or equivalent CRM), and LinkedIn Campaign Manager. Preferred B2B SaaS or healthcare-technology marketing background. Familiarity with the US healthcare provider landscape (hospitals, rural health systems, specialty practices, behavioral health); working knowledge of RCM, credentialing, or practice-management categories. Familiarity with project-management tools (Asana, Notion, or Jira). Eligibility Criteria Education: Bachelor’s degree (Marketing, Business, or a related field) is mandatory and must be completed — candidates currently pursuing or with an incomplete graduation are not eligible. Communication: Strong written and verbal English — able to run structured syncs with Sales stakeholders and present ABM performance to leadership. Work mode & shift: Onsite at Gurugram, full-time, UK shift (1:30 PM – 10:30 PM IST) & Should be flexible. Notice period: Immediate joiners or candidates on short notice preferred. Why Join Neolytix High-Visibility Pipeline Role Drive pipeline across the full ABM tier structure, with direct exposure to Sales and Marketing leadership. Scale an Intent-Driven Motion Build ABM for a rapidly growing Healthcare SaaS product targeting the US mid-market. Ownership Culture An environment that values ownership, curiosity, and continuous improvement. Development Support Learning resources, external certifications, and leadership mentoring.

Location: Gurugram, Haryana, India NEOLYTIX Team Lead – AR (RCM) Accounts Receivable & Denials · US Healthcare EXPERIENCE 4–5 Yrs AR · 1+ Yr TL FUNCTION Operations – RCM LOCATION Gurugram (Onsite) SHIFT Night (US Hours) Experience gate — This role requires 4–5 years of US healthcare AR experience, of which a minimum of 1 year must be as a Team Lead with formal team ownership (targets, coaching, reviews). SME/mentor-only profiles without TL accountability will not qualify. About the Role The Team Lead – AR runs a pod of AR associates on live US provider accounts — owning the day’s output, the queue, the quality, and the people. This is a floor-leadership seat: you carry targets, run huddles, unblock associates in real time, and answer for your pod’s numbers in the weekly review. You still know the work cold — when a complex denial or an angry payer call needs handling, you can take the headset. Key Responsibilities Run the Pod Own daily allocation and queue management across assigned AR buckets — the right accounts, worked in the right order, by the right people. Drive daily productivity and quality targets; track per-associate output and intervene early, not at month-end. Run daily huddles — payer updates, error patterns from QA, and priorities for the shift. Own the Outcomes Answer for pod-level metrics — resolution rate, aged-AR movement, appeal TAT, and quality scores — in weekly reviews with the AM/Manager. Handle escalated accounts and complex denials personally when needed. Partner with QA on calibration and turn audit findings into floor-level fixes. Build the People Coach associates on payer-specific nuances, documentation quality, and call handling. Manage shift adherence, leave planning, and floor discipline for the pod. Identify and develop Sr Associate potential; give structured input into appraisals. Skills & Experience Must-Have 4–5 years of hands-on US healthcare AR (provider side), with strong denials and appeals depth. Minimum 1 year as a Team Lead with formal ownership of team targets, coaching, and performance conversations. Command of AR metrics and the levers behind them — you can explain why a bucket moved, not just that it did. Experience on practice-management / EHR platforms — Epic, AdvancedMD, or athenahealth preferred; similar platforms considered. Preferred Experience running a pod across multiple clients or specialties. Exposure to workforce basics — shrinkage, occupancy, and staffing math. Eligibility Criteria Education: Bachelor’s degree (any discipline) is mandatory and must be completed — candidates currently pursuing a degree, or with an incomplete/dropped graduation, are not eligible. Communication: Strict — confident spoken and written English for payer calls, floor communication, client notes, and weekly reviews with management. Work mode & shift: Onsite at Gurugram, 5 days a week, on a fixed night (US-hours) shift — reliable attendance, punctuality, and roster adherence are essential. Systems: Comfortable with billing/EHR platforms and MS Excel for allocation, tracking, and pod-level reporting. Notice period: Immediate joiners or candidates on short notice strongly preferred. Performance Expectations You will be measured on clear, role-specific metrics: Pod resolution / collection rate against target. Aged-AR movement (90+/120+) for the pod. Pod quality score (QA) and calibration adherence. Productivity vs. target, shift adherence, and pod attrition. Hiring Process Aptitude & Skill based assessment. Domain & operations interview (RCM knowledge, scenarios). HR discussion (fitment, shift, notice). Why Join Neolytix US Healthcare Depth Live US provider accounts across 270+ client organizations — real RCM, not a training bench. Clear Growth Path Associate → Sr Associate → QA / TL → AM: progression tied to performance. Multi-Platform Exposure Hands-on across Epic, AdvancedMD, athenahealth, and more — skills that travel. Stable, Growing MSO A fast-growing US-headquartered organization with centres in Chicago, Gurugram, and Manila.

Location: Gurugram, Haryana, India NEOLYTIX Team Lead – AR (RCM) Accounts Receivable & Denials · US Healthcare EXPERIENCE 4–5 Yrs AR · 1+ Yr TL FUNCTION Operations – RCM LOCATION Gurugram (Onsite) SHIFT Night (US Hours) Experience gate — This role requires 4–5 years of US healthcare AR experience, of which a minimum of 1 year must be as a Team Lead with formal team ownership (targets, coaching, reviews). SME/mentor-only profiles without TL accountability will not qualify. About the Role The Team Lead – AR runs a pod of AR associates on live US provider accounts — owning the day’s output, the queue, the quality, and the people. This is a floor-leadership seat: you carry targets, run huddles, unblock associates in real time, and answer for your pod’s numbers in the weekly review. You still know the work cold — when a complex denial or an angry payer call needs handling, you can take the headset. Key Responsibilities Run the Pod Own daily allocation and queue management across assigned AR buckets — the right accounts, worked in the right order, by the right people. Drive daily productivity and quality targets; track per-associate output and intervene early, not at month-end. Run daily huddles — payer updates, error patterns from QA, and priorities for the shift. Own the Outcomes Answer for pod-level metrics — resolution rate, aged-AR movement, appeal TAT, and quality scores — in weekly reviews with the AM/Manager. Handle escalated accounts and complex denials personally when needed. Partner with QA on calibration and turn audit findings into floor-level fixes. Build the People Coach associates on payer-specific nuances, documentation quality, and call handling. Manage shift adherence, leave planning, and floor discipline for the pod. Identify and develop Sr Associate potential; give structured input into appraisals. Skills & Experience Must-Have 4–5 years of hands-on US healthcare AR (provider side), with strong denials and appeals depth. Minimum 1 year as a Team Lead with formal ownership of team targets, coaching, and performance conversations. Command of AR metrics and the levers behind them — you can explain why a bucket moved, not just that it did. Experience on practice-management / EHR platforms — Epic, AdvancedMD, or athenahealth preferred; similar platforms considered. Preferred Experience running a pod across multiple clients or specialties. Exposure to workforce basics — shrinkage, occupancy, and staffing math. Eligibility Criteria Education: Bachelor’s degree (any discipline) is mandatory and must be completed — candidates currently pursuing a degree, or with an incomplete/dropped graduation, are not eligible. Communication: Strict — confident spoken and written English for payer calls, floor communication, client notes, and weekly reviews with management. Work mode & shift: Onsite at Gurugram, 5 days a week, on a fixed night (US-hours) shift — reliable attendance, punctuality, and roster adherence are essential. Systems: Comfortable with billing/EHR platforms and MS Excel for allocation, tracking, and pod-level reporting. Notice period: Immediate joiners or candidates on short notice strongly preferred. Performance Expectations You will be measured on clear, role-specific metrics: Pod resolution / collection rate against target. Aged-AR movement (90+/120+) for the pod. Pod quality score (QA) and calibration adherence. Productivity vs. target, shift adherence, and pod attrition. Hiring Process Aptitude & Skill based assessment. Domain & operations interview (RCM knowledge, scenarios). HR discussion (fitment, shift, notice). Why Join Neolytix US Healthcare Depth Live US provider accounts across 270+ client organizations — real RCM, not a training bench. Clear Growth Path Associate → Sr Associate → QA / TL → AM: progression tied to performance. Multi-Platform Exposure Hands-on across Epic, AdvancedMD, athenahealth, and more — skills that travel. Stable, Growing MSO A fast-growing US-headquartered organization with centres in Chicago, Gurugram, and Manila.

Location: Gurugram, Haryana, India NEOLYTIX Credentialing Associate / Sr Associate Provider Credentialing & Enrollment · US Healthcare LEVEL Associate / Sr Associate EXPERIENCE 1+ Yr / 3–4 Yrs LOCATION Gurugram (Onsite) SHIFT Night (US Hours) Two openings, one team — Associate requires a minimum of 1 year in US provider credentialing/enrollment; Senior Associate requires 3–4 years including payer-enrollment ownership. About the Role Neolytix runs credentialing and enrollment for US provider organizations — getting physicians and facilities enrolled with payers accurately and fast, because every stalled application is delayed revenue for the client. Associates manage application preparation, submissions, and follow-up. Senior Associates own end-to-end enrollment files, payer escalations, and re-credentialing calendars. Key Responsibilities Core (Associate & Sr Associate) Prepare, submit, and track provider enrollment applications with commercial and government payers (Medicare/Medicaid, commercial plans). Maintain and attest CAQH profiles; manage PECOS, NPPES, and payer portals. Follow up with payers on application status and resolve deficiencies quickly and accurately. Maintain accurate trackers — effective dates, expirables (licenses, DEA, malpractice), and re-credentialing timelines. Handle provider and client data with strict confidentiality and HIPAA compliance. Additional (Sr Associate) Own complete enrollment files end-to-end for assigned clients, including complex group/facility enrollments and payer escalations. Run the re-credentialing and expirables calendar so nothing lapses. Review associates’ submissions for accuracy and coach on payer-specific requirements. Skills & Experience Must-Have Associate: minimum 1 year in US provider credentialing/enrollment. Sr Associate: 3–4 years with end-to-end enrollment ownership. Hands-on experience with CAQH, PECOS/NPPES, and payer portals; strong understanding of enrollment workflows and timelines. High attention to detail — credentialing errors are expensive and slow to unwind. Preferred Experience on practice-management / EHR platforms — Epic, AdvancedMD, or athenahealth preferred; similar platforms considered. Experience with credentialing software (Modio, MD-Staff, Verity, or similar). Eligibility Criteria Education: Bachelor’s degree (any discipline) is mandatory and must be completed — candidates currently pursuing a degree, or with an incomplete/dropped graduation, are not eligible. Communication: Moderate-to-strong — good spoken and written English for payer follow-ups and professional, client-facing emails and notes. Accuracy in writing matters as much as speed. Work mode & shift: Onsite at Gurugram, 5 days a week, on a fixed night (US-hours) shift — reliable attendance, punctuality, and roster adherence are essential. Systems: Comfortable with payer portals, CAQH / PECOS / NPPES, tracker maintenance, and MS Office (Excel/Word). Notice period: Immediate joiners or candidates on short notice strongly preferred. Performance Expectations You will be measured on clear, role-specific metrics: Applications prepared/submitted and processed per period. First-pass approval rate and enrollment turnaround time (TAT). Zero lapses on expirables and re-credentialing dates. Accuracy / rework rate on submissions. Hiring Process HR Screening 2 Technical Interviews Assessment Round HR discussion (fitment, shift, notice). Why Join Neolytix US Healthcare Depth Live US provider accounts across 270+ client organizations — real RCM, not a training bench. Clear Growth Path Associate → Sr Associate → QA / TL → AM: progression tied to performance. Multi-Platform Exposure Hands-on across Epic, AdvancedMD, athenahealth, and more — skills that travel. Stable, Growing MSO A fast-growing US-headquartered organization with centres in Chicago, Gurugram, and Manila.