Location: Toronto; New York
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Business Need
We are overhauling our Salesforce system, which will require significant updates to the data models and pipelines that support revenue reporting. We also lack scalable visibility into self-serve revenue due to fragmented data sources and manual reporting processes. This role will help build and maintain the data infrastructure and automated reporting needed to support these changes and improve visibility across go-to-market and finance teams.
Role Description
This intern will support Revenue Operations data infrastructure and automation, including data enrichment and management, building and updating data pipelines, and developing automated reporting for go-to-market and finance stakeholders.
Key Responsibilities
- Support go-to-market reporting, systems, and processes that help teams make data-driven decisions and drive revenue growth.
- Help maintain and improve data quality across Salesforce and other go-to-market systems.
- Work with cross-functional teams to bring together customer data across product usage, sales activity, marketing engagement, support, and contract data.
- Support the development and maintenance of dashboards and reporting for go-to-market and finance leadership.
- Assist with data pipelines and processes that connect data across Salesforce, BigQuery, and other systems.
- Help identify opportunities to automate manual reporting and operational processes.
- Support ad hoc data analysis and operational requests from the Revenue team.
What You Bring
- Interest in learning about Revenue Operations, data analytics, and how technology companies go to market.
- Some experience working with data through coursework, internships, projects, or extracurricular activities.
- Comfort with spreadsheets and a willingness to develop skills in tools such as SQL, Salesforce, BigQuery, Looker, or Tableau.
- Strong problem-solving ability and an enjoyment of figuring out how data, systems, and processes fit together.
- Detail orientation and a commitment to data accuracy and quality.
- Comfort with learning new tools and working across multiple projects.
- Ability to communicate findings clearly and explain what the data means and why it matters.
Position Details
Duration: 4 months
Start date: January 4
Location: Toronto or New York
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
Full-stack means you don't hand off. You connect the sources, model the data, transform it, build the dashboard and explain the numbers to the customer who paid for them, on three to six enterprise accounts at a time. If you've been the analyst who also had to be the analytics engineer and the account lead, and you liked it, this is that job with a platform and AI tooling behind you.
What you'll do
Own the chain for every account: source connection, ClickHouse and dbt model, QA, dashboard, weekly customer call.
Write SQL every day, and Python when a transformation or a delivery needs code.
Build reporting in Looker, Power BI or Tableau, and the model under it, so the numbers survive a finance review.
Find what's off in the data before the customer does, and say so plainly.
Use Claude Code to move faster and check its work harder.
You'll fit if
You have 3+ years as a marketing analyst, data analyst, BI developer or analytics engineer, with customers you had to keep, external or internal.
Expert SQL, working Python, one BI tool at expert level.
You've worked with several marketing sources at once (ad platforms, GA4, CRM), or can show the same with another messy multi-source domain.
English C1 or better. You present your own work.
Helps
dbt in production. Attribution or MMM. Agency background.
What we offer
Remote-first environment
Medical and dental benefits
401(k) plan
Paid time off and US holidays
Professional development reimbursement
Location: OH, 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 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
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
Design and maintain data models that consolidate data from multiple marketing platforms and sources.
Map and document data flows across complex, multi-source schemas.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with dbt.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use Git for version control and collaboration.
Must Have Qualifications
Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
3+ years of SQL experience.
Proficiency with AI tools and ability to integrate them into daily workflows.
Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.).
Understanding of data modeling principles (star schema, dimensional modeling).
Understanding of ELT/ETL concepts and debugging data transformation logic.
English C1 level with excellent written and verbal communication.
Ability to communicate directly with clients and stakeholders.
Takes ownership and responsibility for their work and results.
Can present their work and insights confidently to clients.
Consistently checks their own work for quality, accuracy, and completeness before delivery.
Strong analytical skills, proactive problem-solving, and close attention to detail.
Comfortable with ambiguity and able to drive clarity with clients and internal teams.
Hands-on experience with QA/UAT processes.
Nice to Have
Knowledge of Google Analytics (for business understanding).
Knowledge of Google Analytics Data Streams.
Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.).
Understanding of Marketing Mix Modeling (MMM) concepts.
dbt experience in analytics workflows.
Python or other scripting language for data analysis and automation.
Experience with data quality frameworks or data observability tools.
Familiarity with marketing attribution models.
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 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: Multiple Countries
About Improvado
Improvado is an AI-powered marketing analytics platform. It connects data from 1000+ marketing and sales sources, cleans and organizes it, and lets teams analyze it and act on it through an AI Agent, without manual reporting. Our customers are marketers, agencies and analytics teams at mid-size and enterprise companies.
The Role
We're looking for a UGC Creator to make short, authentic videos about Improvado and its products. You'll explain what we do and show how it helps marketers, in a real, human voice rather than a polished ad voice.
What you'll do
Create short videos on the product use cases, walkthroughs, "how I'd use this" stories and explainers of our features and AI Agent
Turn briefs into your own script and storytelling (we give you the product input, you make it engaging)
Handle filming, voiceover, editing, captions and on-screen text
What we're looking for
3+ UGC or video projects in your portfolio (required)
Confident on camera, with a natural, conversational delivery
Strong English
Able to explain a technical or B2B product in simple words
Solid editing skills (CapCut, Premiere, Descript or similar)
Reliable with weekly deadlines
Nice to have: experience with B2B SaaS, marketing or analytics tools, or AI products
Details
Format: freelance, remote
Commitment: 1 × ~3-min video per week
Time zone: must be available for syncs in PST
Please share the link to your portfolio with at least 3 available UGC videos.
Location: (Multiple States), United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
The Account Executive uncovers business pains, articulates ROI, and builds the business case that helps prospects modernize how their marketing data works. You'll own a territory end to end — from first outreach to signed contract.
Your buyers are marketing leaders, marketing ops and RevOps, and the data and analytics teams behind them. Some come to us; many you'll go and find yourself. It's a consultative, multi-stakeholder sale with a technical validation stage, so you'll work closely with our Sales Engineers along the way.
Responsibilities
Achieve a quarterly revenue quota across new business and expansion in your territory.
Proactively generate new pipeline — you'll be expected to self-source at least 35% of your own opportunities, not just work inbound.
Own the full sales cycle: discovery, demo, technical validation with a Sales Engineer, business case and ROI, executive presentation, negotiation and close.
Build multi-threaded relationships — bring the technical evaluator, the budget owner, and your champion into the process early rather than running a deal through a single contact.
Qualify with discipline. Confirm budget, decision path, and the real cost of doing nothing before pulling in technical resources — and walk away early from deals that aren't a fit.
Become an expert at using Improvado's software, and at the marketing problems it solves.
Coordinate the internal resources needed to win — Sales Engineering, Marketing, Customer Success — and keep every deal moving.
Keep the CRM accurate and forecast honestly.
Use AI in your day-to-day workflow — account research, call prep, follow-ups, first drafts. We'll expect you to work the way the company works.
Leverage your creativity, intellect, and attitude in order to win new business.
Qualifications
5+ years in a quota-carrying, full-cycle SaaS Account Executive role.
2+ years of experience in the MarTech/AdTech space.
A track record of carrying and hitting a significant annual quota — you can walk through your numbers year by year with real examples.
Experience selling to large enterprise organizations with multiple stakeholders and formal buying processes.
Real outbound prospecting experience — you've built pipeline from scratch, not only worked inbound.
Familiarity with ad platforms and the digital marketing funnel, and the metrics marketers are measured on.
Comfortable in a technical sale — you can hold a credible conversation with a data team and then reframe it for a marketing leader.
Experience in successfully initiating sales cycles with C-level executives.
Ability to thrive in a constantly changing and evolving work environment.
Emotional intelligence, natural curiosity, strong listening skills, and coachability.
Superior communication and organizational skills.
Comfortable with a modern sales stack (CRM, call recording and coaching tools, prospecting and enrichment tools, LinkedIn Sales Navigator) and with using AI tools in your own workflow.
Experience working in a startup.
Nice to have
Experience selling to or working inside agencies.
Formal training in a qualification methodology (MEDDIC / MEDDPICC or similar).
What We Offer:
Remote-first environment
Competitive compensation
Medical and dental benefits
401K plan
Unlimited PTO
Paid holidays
Professional development reimbursement
Location: Serbia
We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center.
We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale.
About the Role
You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising.
Responsibilities
Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale
Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL)
Lead modernization of legacy systems into scalable, AI-native infrastructure
Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails
Make and document key technical decisions; set the bar for code quality, system reliability, and performance
Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk
Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities
Requirements
7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems
You've designed and scaled complex systems, not just maintained them
Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout
Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ)
Experience building secure systems that are hard to break, hard to breach, and resilient
Experience with reliability practices at scale: observability, alerting, incident response
Solid SQL and query optimization across PostgreSQL and ClickHouse
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Ability to work within EST timezone
Fluency in English
Nice to Have
Track record of defining engineering standards and driving adoption across a team
Experience migrating legacy pipeline systems
Background in data integration or ETL infrastructure
What We Offer
Remote-first environment
Direct impact on platform architecture — your decisions matter
Modern AI-native tech stack with real freedom to experiment
20 PTO days + US holidays
Stock options
Professional development reimbursement
Optional relocation assistance to Latin America after trial period
Location: Georgia
We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center.
We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale.
About the Role
You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising.
Responsibilities
Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale
Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL)
Lead modernization of legacy systems into scalable, AI-native infrastructure
Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails
Make and document key technical decisions; set the bar for code quality, system reliability, and performance
Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk
Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities
Requirements
7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems
You've designed and scaled complex systems, not just maintained them
Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout
Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ)
Experience building secure systems that are hard to break, hard to breach, and resilient
Experience with reliability practices at scale: observability, alerting, incident response
Solid SQL and query optimization across PostgreSQL and ClickHouse
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Ability to work within EST timezone
Fluency in English
Nice to Have
Track record of defining engineering standards and driving adoption across a team
Experience migrating legacy pipeline systems
Background in data integration or ETL infrastructure
What We Offer
Remote-first environment
Direct impact on platform architecture — your decisions matter
Modern AI-native tech stack with real freedom to experiment
20 PTO days + US holidays
Stock options
Professional development reimbursement
Optional relocation assistance to Latin America after trial period
Location: Armenia
We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center.
We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale.
About the Role
You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising.
Responsibilities
Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale
Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL)
Lead modernization of legacy systems into scalable, AI-native infrastructure
Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails
Make and document key technical decisions; set the bar for code quality, system reliability, and performance
Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk
Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities
Requirements
7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems
You've designed and scaled complex systems, not just maintained them
Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout
Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ)
Experience building secure systems that are hard to break, hard to breach, and resilient
Experience with reliability practices at scale: observability, alerting, incident response
Solid SQL and query optimization across PostgreSQL and ClickHouse
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Ability to work within EST timezone
Fluency in English
Nice to Have
Track record of defining engineering standards and driving adoption across a team
Experience migrating legacy pipeline systems
Background in data integration or ETL infrastructure
What We Offer
Remote-first environment
Direct impact on platform architecture — your decisions matter
Modern AI-native tech stack with real freedom to experiment
20 PTO days + US holidays
Stock options
Professional development reimbursement
Optional relocation assistance to Latin America after trial period
Location: Brazil
We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center.
We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale.
About the Role
You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising.
Responsibilities
Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale
Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL)
Lead modernization of legacy systems into scalable, AI-native infrastructure
Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails
Make and document key technical decisions; set the bar for code quality, system reliability, and performance
Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk
Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities
Requirements
7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems
You've designed and scaled complex systems, not just maintained them
Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout
Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ)
Experience building secure systems that are hard to break, hard to breach, and resilient
Experience with reliability practices at scale: observability, alerting, incident response
Solid SQL and query optimization across PostgreSQL and ClickHouse
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Ability to work within EST timezone
Fluency in English
Nice to Have
Track record of defining engineering standards and driving adoption across a team
Experience migrating legacy pipeline systems
Background in data integration or ETL infrastructure
What We Offer
Remote-first environment
Direct impact on platform architecture — your decisions matter
Modern AI-native tech stack with real freedom to experiment
20 PTO days + US holidays
Stock options
Professional development reimbursement
Optional relocation assistance to Latin America after trial period
Location: Argentina
We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center.
We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale.
About the Role
You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising.
Responsibilities
Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale
Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL)
Lead modernization of legacy systems into scalable, AI-native infrastructure
Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails
Make and document key technical decisions; set the bar for code quality, system reliability, and performance
Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk
Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities
Requirements
7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems
You've designed and scaled complex systems, not just maintained them
Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout
Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ)
Experience building secure systems that are hard to break, hard to breach, and resilient
Experience with reliability practices at scale: observability, alerting, incident response
Solid SQL and query optimization across PostgreSQL and ClickHouse
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Ability to work within EST timezone
Fluency in English
Nice to Have
Track record of defining engineering standards and driving adoption across a team
Experience migrating legacy pipeline systems
Background in data integration or ETL infrastructure
What We Offer
Remote-first environment
Direct impact on platform architecture — your decisions matter
Modern AI-native tech stack with real freedom to experiment
20 PTO days + US holidays
Stock options
Professional development reimbursement
Optional relocation assistance to Latin America after trial period
middleOH, United States
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