Staff Analytics Engineer, GTM

Location: San Francisco, United States; hybrid workplace

Salary: $200K–$250K plus equity

Company

hirify.global is a San Francisco-based SaaS company providing a Specialized Intelligence platform that captures how work happens and turns it into a living asset for people and AI agents. The platform is used by more than 94% of Fortune 500 companies, with 7 million users across 600,000 businesses.

What you will do

• Build foundational GTM data models from first principles across Sales, Marketing, and Finance, defining consistent metrics for pipeline, bookings, ARR, conversion, revenue, and customer growth.
• Translate ambiguous business questions into actionable KPIs, dashboards, and analyses in partnership with GTM and finance leaders.
• Partner with sales, marketing, finance, and RevOps teams as the primary technical resource for GTM data questions, deep-dive analysis, and guidance.
• Establish reproducible workflows, documentation, data-quality standards, and self-serve tooling for the GTM organization.
• Mentor future analysts and analytics engineers while setting technical standards and best practices.

Requirements

• 8+ years of experience in analytics engineering, data engineering, or analytics, including significant experience with Sales, Marketing, or Finance data at a SaaS company.
• Experience building data models from the ground up for clarity, scale, and trust.
• Strong technical proficiency with Snowflake, dbt Cloud, Sigma, Mixpanel, and Looker, plus expert SQL and data-modeling skills.
• Fluency in GTM and revenue data, including CRM, marketing, and billing systems, pipeline, bookings, ACV/ARR, funnel conversion, and attribution.
• Ability to understand how sellers, marketers, and finance partners work and communicate complex findings clearly to non-technical audiences.
• Willingness to own work across data modeling and ad-hoc analysis, including hands-on implementation.
• Proactive, high-output approach focused on pushing insights and data to teams.
• Experience building technical and semantic infrastructure for internal natural language agents and agentic automation.

Nice to have

• Experience at a high-paced Enterprise SaaS startup, especially during a transition from self-serve to enterprise sales.
• Experience mentoring analysts or analytics engineers or serving as a data-team tech lead.
• Experience improving GTM effectiveness through AI tooling.

Culture & Benefits

• Hybrid work in San Francisco with flexible paid time off and company holidays.
• Healthcare, dental, and vision coverage, including two $0/month medical plan options.
• Equity ownership, a 401(k) plan, and a $500 annual flex benefit for home-office equipment, productivity tools, learning and development, or wellness.
• $100/month commuter benefits for San Francisco-based employees.
• Paid parental leave, Talkspace membership, One Medical access where available, and Kindbody family-planning discounts.
• Equal-opportunity workplace committed to supporting employees and celebrating differences.