Senior Software Engineer, Data
As a Senior Data Scientist for Go-to-Market at fal, you will serve as the analytical backbone of our revenue organization. Embedded directly within the GTM function, you will own the metrics that assess pipeline performance, sales execution, and revenue forecasting. This high-visibility role involves close collaboration with GTM leadership to shape strategic questions and develop systems that provide insightful answers. You will also partner with Product Intelligence and Data Engineering as part of fal's center-of-excellence data team, acting as the embedded specialist for all GTM analytics.
Your key responsibilities will include owning and reporting on metrics such as pipeline health, quota attainment, conversion rates, sales cycle, account manager coverage, and segment-level economics. You will work directly with sales leadership and revenue operations to translate strategic questions into measurement frameworks and establish weekly operating cadences. Additionally, you will build data foundations that enhance GTM analytics, including account-manager tracking, territory and quota models, opportunity-stage instrumentation, and rep-level performance views. Conducting rigorous analyses—such as win/loss assessments, lead source effectiveness, segmentation, and expansion drivers—will be essential to inform GTM resource allocation. You will also shape the CRM, internal tooling, and downstream data models that the GTM team relies on, setting standards for data capture, integration, and trustworthiness.
The ideal candidate will have over 5 years of experience in data science or analytics roles, with at least 3 years specifically in GTM, RevOps, or sales analytics within an enterprise or B2B SaaS company. Advanced proficiency in SQL and Python for analytics, modeling, and experimentation is required. A deep understanding of Salesforce data, pipeline mechanics, quota and territory models, and the operational rhythms of an enterprise sales organization is essential. Strong proficiency with dbt and modern analytics stacks, along with comfort in partnering with data engineering on production-grade pipelines, is expected. The role demands a proven ability to operate as an embedded analytics partner, building trust with sales leadership and translating ambiguous strategic requests into clear measurements. A demonstrated bias for action, including setting up dashboards, writing SQL, and shipping frameworks independently when needed, is crucial. A track record of delivering data products that drive behavioral change, rather than just creating dashboards, is highly valued.
Compensation for this role ranges from $180,000 to $225,000, plus equity and benefits. The position is based in San Francisco, CA, with consideration for remote work at the Senior and Staff levels. Fal offers interesting and challenging work, numerous learning and growth opportunities, relocation assistance to San Francisco, health, dental, and vision insurance (US), and regular team events and offsites.
Fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production at scale without compromise. For developers and enterprises, fal provides a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a rapidly growing market, fal is becoming the ecosystem that ambitious teams build on.