Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
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Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Data Engineer at GitLab, you'll build, run, and maintain the pipelines and infrastructure that bring data from our enterprise applications, internal systems, and GitLab's software as a service (SaaS) platform into our data platform. Your work will power company reporting, data science, and artificial intelligence (AI) self-service.
You'll own features end to end, from source integration to tested, monitored, documented data ready for use. You'll focus on keeping the platform reliable, secure, and cost-efficient as data volumes and AI usage grow, and making governed data ready for AI tools, agents, and Model Context Protocol (MCP)-based access. This is an AI-first role: you'll use AI coding agents every day while maintaining high standards for code review and testing. You'll report to the Director, Data Platform.
What you’ll do
Build, extend, and maintain extract, load, transform (ELT) pipelines from enterprise applications such as Salesforce, Zuora, Zendesk, and Marketo, internal systems, and the GitLab SaaS platform. Integrate data through application programming interfaces (APIs) and event sources such as Snowplow.
Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes.
Write maintainable, well-tested, performant Python and Structured Query Language (SQL) code that meets our internal standards, and review GitLab team members' merge requests.
Own day-to-day platform operations: triage and resolve failed pipelines, infrastructure issues, and GitLab team member requests. Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient.
Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use.
Use AI coding agents such as Claude Code, OpenCode, GitLab Duo, or similar tools to speed up development, debugging, testing, and documentation without compromising review rigor.
Apply role-based access control (RBAC) and masking policies to make governed data available to AI tools and agents. Handle data subject to Sarbanes-Oxley (SOX) controls, material nonpublic information (MNPI), and personal data safely.
Ship medium-sized features independently in small, iterative merge requests, and document architecture and runbooks in the handbook.
What You'll Bring
Professional experience shipping production data pipelines in Python.
Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred.
Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion.
Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling.
Experience running and troubleshooting data infrastructure, with comfort using Git-based workflows, continuous integration and continuous delivery (CI/CD), and code review.
Hands-on experience using AI coding tools in your daily work, with an understanding of where they help and where they fall short.
Clear written communication, the ability to use GitLab, and comfort working asynchronously in a fully remote organization in line with GitLab's values.
Preferred, not required: experience with Snowflake; Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration.
About the team
The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab. That includes managing and maintaining the infrastructure we use, both SaaS and self-managed, and building and maintaining the data pipelines that bring data into it. We make data reliable, secure and ready for analytics, data science and AI tools. As more questions go straight to AI tools and agents, the platform underneath has to be more reliable, better governed and more cost-efficient than ever. We're fully remote and globally distributed, and work asynchronously through issues, merge requests and the handbook.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
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Location: China
We are seeking an
AI Engineer
to join our Data & AI team and contribute to the development and continuous improvement of our AI Validation platform.
Who we are:
Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide.
The mission of our 270 team members is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation.
We are passionate about delivering impact.
Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction.
What will your role be:
This role focuses on evaluating, deploying, monitoring, and optimizing AI models used to process and analyze multilingual content. Given the nature of the project, a deep understanding of both Mandarin Chinese and English language nuances is critical. Therefore, native-level proficiency in Mandarin Chinese and advanced proficiency in English are mandatory.
The ideal candidate combines strong AI engineering skills with a pragmatic, production-oriented mindset and is passionate about delivering reliable and measurable AI solutions.
What you will be doing:
AI Development & Deployment
Develop, deploy, and maintain AI-powered applications and services.
Integrate and operationalize machine learning and generative AI models.
Monitor model performance, quality, and reliability in production.
Troubleshoot and resolve issues related to AI systems and model outputs.
Continuously improve model performance through testing, evaluation, and optimization.
AI Validation & Quality Assurance
Contribute to the development of the AI Validation platform.
Evaluate AI-generated outputs for accuracy, consistency, and linguistic quality.
Design and implement validation methodologies and evaluation metrics.
Benchmark different AI models and approaches.
Analyze model failures and recommend improvements.
Collaboration
Work closely with Data Scientists, Data Engineers, and business stakeholders.
Translate business requirements into scalable AI solutions.
Document technical solutions and best practices.
Requirements
Technical Skills
Advanced proficiency in Python.
Strong proficiency in SQL.
Solid experience with Git and collaborative software development practices.
Hands-on experience deploying and maintaining machine learning or generative AI models in production.
Experience working with Large Language Models (LLMs) and modern AI frameworks.
Sound understanding of model evaluation, testing, and performance monitoring.
Language Skills (Mandatory)
Native-level Mandarin Chinese.
Advanced English.
Ability to assess linguistic quality and cultural nuances across both languages.
Professional Attributes
Strong analytical and problem-solving skills.
Attention to detail and commitment to quality.
Ability to work independently and collaboratively in a fast-paced environment.
Excellent communication skills.
Nice to Have
Familiarity with Snowflake.
Experience with dbt and Airflow.
Experience with RAG architectures, agent-based systems, or AI evaluation frameworks.
Location: United States
Senior Engineering Manager, Data & AI
Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform.
About the Role
Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided.
The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth.
The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on.
Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else.
Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos.
The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath.
We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works.
Industry Insight
Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade.
Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins.
Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves.
Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe.
About Alvys
Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product.
We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on.
More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company.
We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact.
Our Principles
AI makes building cheap. It does not make judgment cheap.
The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day.
Own the outcome
You own what you ship. "AI wrote it" is not an answer.
Judgment stays human. People decide what matters and whether the result is correct.
Verify independently
Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work.
Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion.
Design for control
AI-first means security-first. Customer data stays on approved infrastructure under managed identity.
Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out.
Build durable systems
Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it.
Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness.
Twice is a pattern. Automate repeated work and share it within 48 hours.
The Data & AI Portfolio
The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent.
Why This Role
Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does.
You build at the frontier, in production.
Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks.
You work with data no one else has.
More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone.
Your work changes how an industry operates.
With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one.
You own a portfolio, not a feature.
Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows.
You shape the team from the start.
The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys.
You stay close to the decisions.
You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B.
What You'll Be Responsible For
Leading and Growing the Team
Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands.
Hire senior and staff engineers, and keep the quality bar high as the team scales.
Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped.
Owning Technical Strategy
Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view.
Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests.
Building Agents That Learn
Own the agent development lifecycle from prototype to production to continuous improvement.
Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable.
Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost.
Data and the Context Graph
Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy.
Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth.
Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit.
Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected.
Safety, Isolation, and Reliability
Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse.
Enforce tenant isolation and least privilege across every agent, tool, and data path.
Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows.
Staying Hands-On
Spend about a third of your time building: prototype, write evals, read traces, and debug production.
Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well.
Cross-Functional Partnership
Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery.
Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features.
The AI Fluency We Expect
We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies.
Delegation:
You decide whether to use AI at all, which task to hand off, and how much autonomy it gets.
Description:
You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy.
Discernment:
You check output against evidence: diffs, acceptance checks, evals, and production monitoring.
Diligence:
You own the effects, including data access, permissions, memory isolation, budgets, and kill switches.
Systems:
You know how models, context, tools, harnesses, and memory work, and where each one fails.
How You Work With Agents
Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token.
Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema.
Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop.
Separate the agent that writes from the agent that checks, and give the checker fresh context.
Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test.
Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step.
Where You Take the Team
Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself.
Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop.
Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data.
Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving.
Minimum Qualifications
8+ years building software, including 3+ years managing engineers.
You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly.
Production LLM systems.
You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed.
Agentic engineering in your own work.
You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest.
Depth in agent systems.
You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail.
Evaluation discipline.
You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases.
Strong data engineering judgment.
You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do.
Distributed systems in production.
You've designed and operated production services with real reliability requirements.
Multi-tenant security.
You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary.
Language fluency.
You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus.
Startup-stage fit.
You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning.
Clear technical communication.
You can explain a tradeoff to an engineer, a customer, and an executive.
Preferred Qualifications
Knowledge graphs, context graphs, entity resolution, or GraphRAG in production.
Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets.
Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets.
Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal.
SRE experience, or a record of running systems other teams depend on.
Logistics or freight experience, or another vertical where data is deeply entangled with operations.
Founder or early-stage engineering leadership experience.
A history of hiring, growing, and retaining excellent engineers.
Built by people who've moved freight. Come build the intelligence layer with us.
Learn more at
alvys.com
Location: Argentina
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Serbia
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Brazil
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Mexico
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Ecuador
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Uruguay
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Chile
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Georgia
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Spain
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Poland
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Montenegro
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Portugal
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Czech Republic
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Colombia
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team.
What you will do
Salesforce and GTM stack
Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals.
Maintain the Salesforce manual and RevOps SOPs, and train new hires.
Contract to cash
Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent.
Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat.
Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports.
Revenue analytics and data model
Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs).
Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing.
Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks.
Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner.
AI and automation
Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output.
Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided.
Ownership
Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric.
Requirements
4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org.
Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus.
Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals.
Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM.
Proof you build with AI agents: something you shipped that others use.
Fluent English and clear written updates without being asked.
Nice to have
Salesforce Administrator or Advanced Administrator certification.
ClickHouse or another columnar warehouse, and any BI tool.
Salesforce development (Apex, triggers, API).
Gong, Clay, Lemlist, or workflow automation tools.
Billing, CPQ, or accounting systems.
HubSpot to Salesforce migration.
Attribution or CS health score data.
Martech or analytics company background.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
УдалённоChina
seniorUnited States; Relocation assistance is not provided
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