Staff GTM Engineer

Accountabilities

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.