Senior Software Engineer, Data
Analyzes GTM metrics like pipeline health, quota attainment, and sales performance for a generative AI company. Partners with sales leadership using SQL, Python, dbt, and Salesforce to build analytics frameworks and data products. Requires 5+ years experience, including 3+ in sales analytics.
About the job
Key Responsibilities
- Own the metrics and reporting that drive sales execution at fal: pipeline health, quota attainment, conversion rates, sales cycle, AM coverage, and segment-level economics.
- Partner directly with the sales leadership and rev-ops to translate strategic questions into measurement frameworks and weekly operating cadences.
- Build the data foundations that make GTM analytics first-class: account-manager tracking, territory and quota models, opportunity-stage instrumentation, and rep-level performance views.
- Run rigorous deep-dives - win/loss, lead source effectiveness, segmentation, expansion drivers - that change how GTM allocates time and headcount.
- Shape the CRM, internal tooling, and downstream data models that everyone in GTM depends on, and set the standards for how GTM data is captured, joined, and trusted.
Requirements
- 5+ years of experience in data science or analytics roles, with at least 3+ years specifically in GTM, RevOps, or sales analytics at an enterprise or B2B SaaS company. This is a hard requirement - we are looking for someone who has seen many variations of this problem and can run with it.
- Advanced SQL and proficiency in Python for analytics, modeling, and experimentation.
- Deep familiarity with Salesforce data, pipeline mechanics, quota and territory models, and the operational rhythms of an enterprise sales org.
- Strong proficiency with dbt and modern analytics stacks; comfort partnering with data engineering on production-grade pipelines.
- Proven ability to operate as an embedded analytics partner - building trust with sales leadership and translating ambiguous strategic asks into clear measurement.
- Demonstrated bias for action; you set up the dashboard, write the SQL, and ship the framework yourself when needed.
- A track record of shipping data products that change behavior, not just dashboards that get viewed once.
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.
Compensation
$180,000-225,000 plus equity + benefits (This range is across 2 levels Senior and Staff)
Skills
SQL, Python, Salesforce, dbt, Data Modeling, Pipeline Analytics, Quota Modeling, Territory Modeling, Gtm Analytics, Revops
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