2 дня назад
Senior GTM Engineering Analyst (AI)
113 000 - 158 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior GTM Engineering Analyst (AI): Building AI agents, data products, and analysis workflows for go-to-market teams with an accent on LLM-powered automation, SQL analytics, and connecting Salesforce, Gong, and other business systems. Focus on designing reliable revenue operations workflows, evaluating AI output quality and safeguards, and creating reports and decision-support tools for sales leadership.
Location: Remote within the United States or Canada; in-person onboarding in Toronto is required for go-to-market roles.
Annual base salary: USD 113,000–158,000 for US-based roles; CAD 105,000–147,000 for Canada-based roles.
Company
develops cybersecurity and unified access management products that help people and businesses securely use digital applications, devices, and AI tools.
What you will do
- Build and maintain AI agents that prepare call and deal briefs, draft customer follow-ups, rank target accounts, and flag deals requiring attention.
- Develop data tables and scheduled analysis jobs combining Salesforce, Gong, and other go-to-market systems.
- Create reports, alerts, and weekly manager briefs for sales leadership.
- Rebuild revenue operations processes to reduce manual work and improve data quality and decision-making.
- Partner with Sales, Solutions, Customer Experience, Channel, and Revenue Operations teams to define technical requirements.
- Evaluate AI outputs for quality, accuracy, privacy, data access, safeguards, adoption, and effectiveness.
Requirements
- 4+ years of experience in analytics, revenue operations, sales operations, data analysis, or a related field.
- Experience building AI agents or LLM-powered workflows used in real business operations.
- Confidence with AI coding tools such as Claude Code, Codex, or Cursor.
- Strong SQL skills and working knowledge of statistics.
- Experience documenting and improving business processes to reduce manual work and improve decisions.
- Ability to work remotely from the United States or Canada and attend in-person onboarding in Toronto.
Nice to have
- Python experience for automation, API integrations, and connecting systems.
- Experience with Salesforce, Snowflake, Databricks, dbt, or business intelligence platforms.
- Experience supporting channel or partner sales, working across multiple regions, or studying a quantitative discipline.
Culture & Benefits
- Remote-first work environment with occasional travel for offsites, department meetings, and customer events.
- Health, dental, and retirement benefits, including 401(k) for US-based employees and RRSP for Canada-based employees.
- Generous paid time off and parental leave top-up programs.
- Equity or RSU program, retirement matching, and a free account.
- Paid volunteer days and peer-to-peer recognition programs.
Hiring process
- AI tools may be used responsibly during the application process, but live interviews must be completed without AI assistance.
- Successful applicants complete a background check permitted by local law.
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