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Salary
≈ $47k – $100k per year (Estimated)
Location
In office (Dallas)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match
Founded in 2017, Plutus21 is an alternative investment and operating company specializing in frontier technology markets, including artificial intelligence, robotics, automation, and fintech. Headquartered in Dallas, Texas, the firm operates primarily through its asset management division, Plutus21 Capital, and its operational consultancy arm, Plutus21 Partners. Combining bottom-up fundamental equity research with proprietary data pipelines and investment intelligence platforms, the enterprise manages dedicated investment strategies while providing advisory and operational support to institutional clients, family offices, and high-growth technology ventures.

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.

  • Ensure automated workflows remain reliable through monitoring, error handling, retries, and alerting.

  • Partner with sales, marketing, and operations stakeholders to understand process friction and prioritize work accordingly.

  • Produce reporting and dashboards that give commercial and executive stakeholders visibility into performance.

  • Document the systems you build and enable other team members to operate them.

  • Evaluate new tools and platforms and support build or buy decisions with working prototypes.

  • Participate in planning and technical decision making across the go-to-market function.

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.

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