Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Senior GTM Engineer
- Remote from
- Poland
- Salary
- PLN 12k–22k / mo
- Department
- Software Engineering
- Employment
- Contract
- Experience
- Senior
- Published
- Apply before
- 10 Dec 2026
- Listing views
- 15
- Application actions
- 0
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About this role.
Location: Poland, Remote
Employment Type: Full-time, B2B Contract
Compensation: PLN 12,000–22,000 net + VAT per month
About PubNub
PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our market-leading platform for real-time interactive apps enables customers to efficiently and effectively build, manage, and optimize engaging apps that captivate and delight users.
Founded in 2012, PubNub is backed by notable investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. To date, over 2,000 companies worldwide, including Amazon, RingCentral, Gameloft, and DAZN, choose PubNub to build and enhance large-scale apps that launch quickly to engage, monetize, and retain users.
At PubNub, you’ll enjoy the freedom of a remote-first environment paired with a collaborative culture designed to support your unique work style, so you can do your best work.
About the Role
We’re looking for a Senior GTM Engineer to build the AI-powered tools, automations, and integrations that help PubNub’s go-to-market teams operate more effectively.
This is a hands-on engineering role combining software development, AI agents, automation, and business systems integration. You’ll work across Marketing, Growth, Sales, and Customer Success, translating operational challenges into reliable technical solutions.
You’ll take ownership of projects from discovery and prototyping through production deployment, helping teams reduce repetitive work, improve data quality, accelerate execution, and make better-informed decisions.
Success means delivering production-ready tools and automations that are adopted by teams and create measurable business impact.
Key Responsibilities
- Design, build, deploy, and maintain AI-powered tools, agents, and workflow automations for go-to-market functions.
- Develop internal applications and integrations that improve prospecting, account research, lead enrichment, campaign execution, and customer intelligence.
- Partner with business stakeholders to understand workflows, identify bottlenecks, and prioritise engineering opportunities.
- Build and maintain integrations with CRM, marketing automation, analytics, and other business systems.
- Develop and maintain web-based applications and website infrastructure that support Marketing and Growth initiatives.
- Use LLM APIs, AI coding assistants, and agent-based development workflows to accelerate engineering productivity.
- Ensure solutions are maintainable, reliable, secure, and suitable for production use.
- Measure tool adoption, operational efficiency, and business outcomes, iterating based on stakeholder feedback.
About You
Minimum Requirements
- Strong professional software engineering experience, ideally involving full-stack development, internal tools, automation, or growth engineering.
- Hands-on experience with JavaScript or TypeScript and modern web frameworks such as React or Next.js.
- Strong experience working with APIs, system integrations, and data-driven applications.
- Practical experience building AI-powered applications, agents, or automations using LLM APIs.
- Experience taking applications from prototype to production, including testing, deployment, maintenance, and troubleshooting.
- Ability to understand business problems and independently translate requirements into working technical solutions.
- Strong ownership, problem-solving, and cross-functional collaboration skills.
- Strong English communication skills and the ability to work with technical and nontechnical stakeholders.
Nice to Have
- Experience integrating Salesforce, marketing automation, or revenue operations platforms.
- Familiarity with AI coding assistants such as Claude Code or Cursor.
- Experience maintaining CMS-driven websites or marketing technology.
- Familiarity with developer-focused SaaS products, API platforms, or agent-based workflows.
- Experience developing reusable internal AI tools or agent skills.
Why PubNub
At PubNub, you’ll help power real-time experiences used by millions around the world. What sets us apart is our people-first culture and strong sense of collaboration. Our team values the opportunity to contribute meaningfully, grow their skills, and help build innovative, high-impact technology.
We offer competitive B2B compensation and the flexibility of a remote-first environment. We’re committed to fostering collaboration, professional growth, and opportunities to make a meaningful impact.
In this role, you’ll have the opportunity to build practical AI solutions, own meaningful projects end to end, and work closely with teams that directly benefit from your engineering contributions.
Ready to Make an Impact?
If you’re excited about building real-world AI solutions, automating complex workflows, and applying engineering to business challenges, we’d love to hear from you.
Join us and help shape how PubNub uses AI and automation across its go-to-market operations.
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Role DNA
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Sample interview questions
I would explain the operational problem, the users involved, the architecture and integrations, how I evaluated reliability and safety, and the measurable outcome such as time saved, adoption, or improved data accuracy.
I would define the enrichment schema and quality criteria first, pull approved CRM and external data through APIs, use the LLM for bounded extraction or summarization, validate outputs with rules and confidence thresholds, and write auditable results back to the CRM.
I compare business criticality, scale, security, total maintenance cost, integration complexity, and time to value. I use configurable tools for standard workflows, but build custom services when the workflow is strategic, requires unique logic, or needs stronger reliability and governance.
I add clear ownership, automated testing, monitoring, access controls, error handling, documentation, deployment pipelines, and feedback loops. I also define success metrics and rollout plans so adoption and business value are validated after launch.
I would map the current workflow with each group, identify shared outcomes and constraints, turn them into a prioritized requirements document, and validate an early prototype with representative users. Regular demos and outcome-based metrics keep expectations aligned throughout delivery.
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