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

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

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

Location: Georgia 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: Armenia 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: Brazil 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: Argentina 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: 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: 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: (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: 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.