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 Solutions Engineer'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: 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: 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
seniorEST timezone availability; Optional relocation support to Latin America
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
seniorEST timezone availability; Optional relocation support to Latin America
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
seniorEST timezone availability; Optional relocation support to Latin America
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
seniorEST timezone availability; Optional relocation support to Latin America
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
seniorEST timezone availability; Optional relocation support to Latin America
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
seniorEST timezone availability; Optional relocation support to Latin America
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
United States
United States
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