Staff GTM Engineer

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff GTM Engineer based in the United States.

Join a forward-thinking, remote-first organization transforming how go-to-market teams operate through artificial intelligence and automation. As a Staff GTM Engineer, you will bridge business strategy, data analytics, and software engineering to build scalable, AI-powered solutions across Sales, Marketing, and Customer Success. You will work closely with Revenue Operations and business leaders to identify high-impact opportunities and turn complex operational challenges into practical, reliable workflows. From intelligent data enrichment to automated lead scoring and sales insights, your work will improve productivity, customer experience, and operational efficiency. This role offers the opportunity to experiment with emerging AI technologies, modernize revenue systems, and establish best practices for responsible AI adoption. Join a collaborative, fast-paced environment that values technical excellence, continuous learning, and measurable business impact.

• Build AI-powered GTM solutions: Design, develop, and implement intelligent workflows that improve processes across Sales, Marketing, and Customer Success, increasing efficiency and supporting revenue growth.
• Identify strategic opportunities: Partner with Revenue Operations and go-to-market leaders to assess operational challenges, prioritize high-value AI use cases, and translate business needs into scalable technical solutions.
• Automate revenue workflows: Develop automation for data enrichment, lead scoring, prospect and customer routing, summarization, sales intelligence, and other revenue-related processes.
• Develop integrations and internal tools: Build Python scripts, internal APIs, and integrations that connect SaaS platforms, streamline information flows, and reduce manual work.
• Leverage AI and automation platforms: Integrate, test, and evaluate third-party technologies, including OpenAI, LangChain, Zapier, and Tray, to identify effective solutions for business needs.
• Establish scalable AI infrastructure: Help design reliable, secure, and well-governed AI workflows, ensuring that automation solutions can scale sustainably across the organization.
• Improve data-driven decision-making: Connect analytics, sales intelligence, and data enrichment systems to deliver actionable insights and support more effective go-to-market execution.
• Document and communicate solutions: Maintain clear technical documentation, explain recommendations to technical and nontechnical stakeholders, and share best practices for AI adoption.
• Stay ahead of emerging technologies: Continuously explore new AI applications, tools, and approaches that can improve operational performance and strengthen the organization's competitive advantage.

Requirements

• Relevant professional experience: Experience applying business strategy to go-to-market challenges through Revenue Operations, Sales, Consulting, Analytics, Solutions Engineering, Marketing, or a related function.
• Strong technical foundation: Proficiency in Python, SQL, API integrations, and automation across SaaS applications, with the ability to develop practical solutions independently.
• AI and automation expertise: Experience applying AI to business workflows, operational processes, infrastructure, or governance, with a strong understanding of how AI can improve productivity and decision-making.
• GTM systems knowledge: Familiarity with data enrichment, revenue automation, sales intelligence, and the technology ecosystem supporting Sales, Marketing, and Customer Success teams.
• Experience with relevant platforms: Exposure to tools such as Clay, Apollo, ZoomInfo, Clearbit, 6sense, Demandbase, LeadIQ, Instantly, Smartlead, Zapier, Tableau, Looker, Qlik Sense, MicroStrategy, Domo, ThoughtSpot, Salesforce, HubSpot, Gong, or Outreach.
• Internal application development: Experience deploying internal tools or applications using technologies such as AWS, Google Cloud Platform, Retool, Streamlit, Slack bots, Git, vector databases, or comparable platforms.
• Analytical and problem-solving skills: Ability to translate business requirements and data insights into actionable recommendations, evaluate technical trade-offs, and prioritize solutions based on measurable impact.
• Cross-functional collaboration: Strong communication skills and the ability to work effectively with business stakeholders, technical teams, and senior leaders to understand needs and drive adoption.
• Adaptability and continuous learning: A proactive, curious mindset, comfort working in a fast-paced environment, and enthusiasm for experimenting with emerging AI technologies and improving existing processes.
• Work authorization: For US-based employment, candidates must be authorized to work in the United States without requiring current or future employer-sponsored immigration support.

Benefits

• Competitive compensation: Annual base salary ranging from $139,000 to $166,000 USD for US-based positions, depending on experience, skills, and other relevant factors.
• Equity opportunities: Eligibility for an equity grant, providing an opportunity to share in the organization's long-term growth.
• Healthcare coverage: Access to health, dental, and other employee benefits.
• Retirement benefits: 401(k) plan for US-based employees.
• Paid time off: Generous paid time off to support work-life balance and personal well-being.
• Family support: Maternity and parental leave top-up programs.
• Remote-first flexibility: Work remotely from the United States, with an emphasis on collaboration and effective distributed teamwork.
• Professional growth: Opportunities to develop expertise in AI, automation, data analytics, and modern revenue technology while working on high-impact initiatives.
• Recognition and community: Access to peer-to-peer recognition programs and paid volunteer days.
• Team connection: Participation in company-wide gatherings, department events, and collaborative learning opportunities.
• Onboarding: In-person onboarding in Toronto for go-to-market team members. Occasional travel may also be required for team meetings, offsites, or other business events.
• Inclusive workplace: A collaborative environment that values transparency, continuous feedback, diversity, and equal opportunity.