Senior Data Scientist (GTM)

TL;DR

Senior Data Scientist (GTM): Own the metrics and reporting that drive sales execution including pipeline health, quota attainment, conversion rates, and segment-level economics with an accent on GTM analytics, RevOps, and sales performance. Focus on building data foundations, running deep-dives on win/loss analysis, lead sources, and expansion drivers, and shaping CRM and internal tooling for trusted GTM data.

San Francisco (relocation assistance offered)

$190,000 - $230,000 + equity + comprehensive benefits package

Company

hirify.global is the generative media ecosystem powering the next generation of AI products, providing infrastructure, tools, and model access for developers and enterprises to build at scale.

What you will do

• Own metrics and reporting for sales execution: pipeline health, quota attainment, conversion rates, sales cycle, AM coverage, and segment-level economics.
• Partner with sales leadership and RevOps to translate strategic questions into measurement frameworks and weekly operating cadences.
• Build data foundations for GTM analytics: account-manager tracking, territory and quota models, opportunity-stage instrumentation, and rep-level performance views.
• Run deep-dives on win/loss, lead source effectiveness, segmentation, and expansion drivers to influence GTM allocation of time and headcount.
• Shape CRM, internal tooling, and downstream data models; set standards for data capture, joining, and trust.
• Partner with Product Intelligence and Data Engineering as part of the center-of-excellence data team.

Requirements

• 5+ years in data science or analytics, with 3+ years specifically in GTM, RevOps, or sales analytics at enterprise or B2B SaaS company (hard requirement)
• Advanced SQL and proficiency in Python for analytics, modeling, and experimentation.
• Deep familiarity with Salesforce data, pipeline mechanics, quota and territory models, and enterprise sales org operations.
• Strong proficiency with dbt and modern analytics stacks; comfort partnering with data engineering on production pipelines.
• Proven ability to operate as embedded analytics partner, building trust with sales leadership and translating ambiguous asks into clear measurement.
• Demonstrated bias for action and track record of shipping data products that change behavior.

Nice to have

• Experience supporting both self-serve/PLG and enterprise sales motions.
• Experience working on developer-facing or API products.
• Familiarity with usage-based pricing and consumption-driven sales motions.
• Early-stage or fast-scaling environment experience.

Culture & Benefits

• Interesting and challenging work with a lot of learning and growth opportunities.
• Health, dental, and vision insurance (US).
• Regular team events and offsites.