GTM Engineer

Plutus21; Bogotá ciudad; On-site; COP 60,000,000 - 110,000,000; Full time

Job summary

Plutus21 is seeking a GTM Engineer to join our go-to-market team. In this role, you will build and maintain the systems that identify, reach, and convert customers, working across our sales, marketing, and operations functions.

The position sits between engineering and go-to-market. You will be responsible for automating manual revenue processes, connecting the platforms our commercial teams depend on, and building tooling that improves how those teams operate day to day.

Qualifications

• 2+ years in go-to-market engineering, revenue operations, marketing operations, sales operations, or a comparable technical role supporting a commercial function.
• Proficiency in at least one scripting language, such as Python or JavaScript.
• Experience working with REST APIs, webhooks, and common authentication methods.
• Working knowledge of SQL and the ability to query and transform data.
• Hands‑on experience administering or building within a customer relationship management platform.
• Experience with workflow automation platforms.
• Experience with data enrichment and prospecting tools.
• Familiarity with large language models and practical experience applying them to business workflows.
• Understanding of how sales, marketing, and customer success functions operate and how they use data.
• Demonstrated ability to turn loosely defined business problems into working systems with limited supervision.
• Strong written and verbal communication skills in English.
• Comfort operating in an environment where requirements change and priorities shift.

Responsibilities

• Identify manual and repetitive processes across the go-to-market function and replace them with automated workflows.
• Build and maintain integrations between the platforms used by sales, marketing, and operations teams.
• Design and implement data enrichment workflows that improve the quality and completeness of prospect and account records.
• Build lead scoring, routing, and lifecycle management systems.
• Develop AI agents and language model workflows that support research, qualification, drafting, and prioritization tasks.
• Own data integrity across commercial systems, including synchronization, deduplication, and hygiene processes.
• Design and maintain outbound campaign infrastructure, including sequencing, deliverability, and performance tracking.
• Write scripts and services that extend platform functionality beyond what native configuration allows.
• Build internal tools and applications that support commercial workflows.
• Own projects end to end, from problem identification through implementation, deployment, and measurement.
• Instrument the systems you build so that their performance and business impact can be measured.

Skills

Python/JS scripting

REST APIs

SQL querying

CRM platforms

Workflow automation

AI/LLM workflows

Data enrichment

Data analysis

English communication

Tools

Workflow automation platforms

Data enrichment tools

AI agents tooling

Job description

Job Summary

Plutus21 is seeking a GTM Engineer to join our go-to-market team. In this role, you will build and maintain the systems that support how we identify, reach, and convert customers, working across our sales, marketing, and operations functions.

The position sits between engineering and go-to-market. You will be responsible for automating manual revenue processes, connecting the platforms our commercial teams depend on, and building tooling that improves how those teams operate day to day.

We are looking for a technical builder who is comfortable writing code, working with APIs, and applying automation and AI tooling to commercial problems. This is a hands‑on role focused on delivering working systems rather than producing recommendations.

Key Responsibilities

• Identify manual and repetitive processes across the go-to-market function and replace them with automated workflows.
• Build and maintain integrations between the platforms used by sales, marketing, and operations teams.
• Design and implement data enrichment workflows that improve the quality and completeness of prospect and account records.
• Build lead scoring, routing, and lifecycle management systems.
• Develop AI agents and language model workflows that support research, qualification, drafting, and prioritization tasks.
• Own data integrity across commercial systems, including synchronization, deduplication, and hygiene processes.
• Design and maintain outbound campaign infrastructure, including sequencing, deliverability, and performance tracking.
• Write scripts and services that extend platform functionality beyond what native configuration allows.
• Build internal tools and applications that support commercial workflows.
• Own projects end to end, from problem identification through implementation, deployment, and measurement.
• Instrument the systems you build so that their performance and business impact can be measured.

Qualifications

• 2+ years experience in go-to-market engineering, revenue operations, marketing operations, sales operations, or a comparable technical role supporting a commercial function.
• Proficiency in at least one scripting language, such as Python or JavaScript.
• Experience working with REST APIs, webhooks, and common authentication methods.
• Working knowledge of SQL and the ability to query and transform data.
• Hands‑on experience administering or building within a customer relationship management platform.
• Experience with workflow automation platforms.
• Experience with data enrichment and prospecting tools.
• Familiarity with large language models and practical experience applying them to business workflows.
• Understanding of how sales, marketing, and customer success functions operate and how they use data.
• Demonstrated ability to turn loosely defined business problems into working systems with limited supervision.
• Strong written and verbal communication skills in English.
• Comfort operating in an environment where requirements change and priorities shift.

Nice to Have

• Experience building and deploying AI agents in a production environment.
• Experience with data warehouse platforms and transformation tooling.
• Experience with email deliverability, domain configuration, and sender reputation management.
• Experience building internal applications or dashboards.
• Prior experience in a consulting environment or supporting multiple business units at once.