GTM Engineer
New
J
JobgetherAI and data infrastructure
Work remotely from Canada, availability to work with teams operating on Pacific TimeFull-TimeJunior
Salary not disclosed
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Job Details
- Languages
- Fluent English communication skills, both written and verbal
- Experience
- At least 2 years of professional software engineering experience
- Required Skills
- PythonSQLTypeScriptSoftware Engineering
Requirements
- Have at least 2 years of professional software engineering experience, ideally developing business-critical tools, applications, or automation systems.
- Have strong programming skills in Python or TypeScript.
- Have fluent SQL knowledge and the ability to work with data-intensive applications.
- Have hands-on experience building internal tools, workflow automations, and software integrations for business or operational teams.
- Have practical experience developing data pipelines and integrating APIs across business systems and platforms.
- Be able to translate operational challenges and business requirements into practical, scalable technical solutions.
- Have commercial awareness and an interest in revenue operations, sales processes, and growth strategies.
- Have strong written communication skills and be able to collaborate with technical and non-technical stakeholders.
- Be proactive and autonomous, able to manage priorities and deliver in ambiguous, fast-moving environments.
- Have fluent written and verbal English and availability to work with teams operating on Pacific Time.
- Previous experience in RevOps, growth engineering, sales engineering, or forward-deployed engineering is a nice-to-have.
- Experience implementing LLMs or AI agents in production, or familiarity with AI training data ecosystems, is a nice-to-have.
Responsibilities
- Take end-to-end ownership of the go-to-market technology stack, including evaluating, selecting, configuring, integrating, and maintaining tools.
- Design and develop sourcing systems, including web scrapers, data collection solutions, and enrichment pipelines.
- Integrate CRM, marketplace, and product data into centralized sources for pipeline tracking, listings, and revenue reporting.
- Develop internal applications and tools for provider research, listing quality assurance, sales pipeline management, and revenue forecasting.
- Automate workflows across lead generation, sourcing, qualification, lead routing, and reporting.
- Collaborate with founders and commercial stakeholders to identify operational challenges and translate business needs into technical solutions.
- Research, implement, and optimize AI agents and intelligent automation solutions.
- Make build-versus-buy decisions and continuously improve the reliability, scalability, and maintainability of existing systems.
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