Join an cutting-edge, remote-first organization transforming how go-to-market teams work through artificial intelligence, automation, and data-driven decision-making. As a Staff GTM Engineer, you will bridge business strategy, analytics, and software engineering to build intelligent solutions across Sales, Marketing, and Customer Success. From automated lead scoring and data enrichment to sales intelligence and AI-powered insights, your work will help improve productivity, customer experience, and operational efficiency. If you enjoy solving complex problems, building practical tools, and delivering measurable business results, this is an opportunity to make a meaningful impact.

Design, build, and scale AI-driven workflows across Sales, Marketing, and Customer Success to streamline operations, improve decision-making, and support business growth.

Create workflows for data enrichment, lead scoring, prospect routing, summarization, sales intelligence, and other revenue operations activities.

Develop Python scripts, internal APIs, and integrations that connect SaaS platforms, improve data flows, and reduce repetitive manual work.

Help develop scalable, secure, and well-governed AI workflows that support consistent performance and responsible technology adoption.

Strengthen analytics and intelligence:

Connect data sources, enrichment platforms, and revenue systems to generate actionable insights and improve go-to-market execution.

Document and communicate technical solutions:

Maintain clear documentation, explain technical recommendations to stakeholders with varying levels of technical expertise, and share implementation best practices.

Drive continuous improvement:

Test new approaches, measure outcomes, refine existing solutions,



and promote a culture of experimentation and innovation.

Experience applying business strategy to go-to-market challenges through Revenue Operations, Sales, Consulting, Analytics, Marketing, Solutions Engineering, or a related discipline.

Technical proficiency:

Strong experience with Python, SQL, API integrations, and automation across software-as-a-service (SaaS) platforms.

AI implementation experience:

Understanding of data enrichment, revenue automation, sales intelligence, and the systems supporting Sales, Marketing, and Customer Success teams.

Familiarity with platforms such as Clay, Apollo, ZoomInfo, Clearbit, 6sense, Demandbase, LeadIQ, Instantly, Smartlead, Zapier, Tableau, Looker, Qlik Sense, MicroStrategy, Domo, ThoughtSpot, Salesforce, HubSpot, Gong, or Outreach.

Experience deploying internal tools or applications using AWS, Google Cloud Platform, Retool, Streamlit, Slack bots, Git, vector databases, or comparable technologies.

Ability to interpret data, evaluate business requirements, identify opportunities for improvement, and develop solutions that deliver measurable results.

Strong collaboration and communication skills, including the ability to translate complex technical concepts into transparent recommendations for business stakeholders.





Candidates must be based in Canada and able to work remotely from their home country. The role includes in-person onboarding in Toronto and may require occasional business travel.

124,000 to $166,000 CAD , depending on skills, experience, and other relevant factors.

Equity:

Eligibility for an equity grant, offering an opportunity to participate in the organization's long-term growth.

Health coverage:

Access to competitive healthcare, dental, and other employee benefits.

Retirement savings:

Retirement benefits through a registered retirement savings plan (RRSP) and applicable employer matching programs.

Generous PTO to support personal well-being and work-life balance.

Maternity and parental leave top-up programs.

Remote flexibility:

A remote-first working environment that supports collaboration across distributed teams.

Opportunities to deepen expertise in artificial intelligence, software engineering, automation, analytics, and up-to-date revenue technology.

Community involvement:

Paid volunteer days to support causes and communities that matter to employees.

Onboarding and travel:

In-person onboarding in Toronto for go-to-market team members, with occasional travel for team meetings, offsites, or business events.

A workplace that values transparency, continuous feedback, diversity, collaboration, and equal employment opportunities.

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

📌 Engineering Assistant I (Montreal)
🏢 Jobgether
📍 Montreal