SECTION I · THE BRIEF
Brief #51889Updated 14 SEP 2026SAN FRANCISCOGreenhouseFIRST ROUND CAPITAL
Employbl Company Profile

GTM Data Analytics Engineer

A decentralized cloud for artificial intelligence. Together provides APIs to use, fine tune and train large open models.

Location
San Francisco
Company size
10–50
Posted
Today
Via
Greenhouse
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

Free account · no card · 2 minutes

GTM Data Analytics Engineer

Together AI· San FranciscoView company profile


Job title
GTM Data Analytics Engineer
Job location
San Francisco
Job description

About the Role

We are seeking a highly analytical and detail-oriented Data Analytics Engineer to join our data team. This role will report into the Revenue Operations team. The ideal candidate will help build and maintain the data infrastructure and reporting used across go-to-market, finance, and product teams, working closely with analytics colleagues across both the GTM and core data teams to deliver reliable, well-documented data products.

Responsibilities

  • Develop and maintain dashboards and reports primarily supporting GTM stakeholders, with additional use by Finance, Product, and other cross-functional teams; assist with deep-dive analyses on business performance and trends.
  • Pull and analyze data from source systems (Salesforce, Amplitude, production systems, billing) to support reporting and ad hoc requests.
  • Use SQL to extract, clean, and analyze data, with attention to correctness and efficiency.
  • Build foundational SQL and business knowledge and quickly grow into contributing to dbt models within Snowflake, following established dimensional modeling standards.
  • Partner with GTM, Finance, and Product stakeholders to understand data needs and keep reporting and definitions consistent.

Requirements

  • Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related quantitative field.
  • 1-3 years of experience in a Data Analyst, BI, or Analytics Engineering role.
  • Strong SQL skills required, with the ability to write complex, multi-step queries involving joins and aggregations; experience with dbt and/or Python is a strong plus.
  • Familiarity with a cloud data warehouse (Snowflake preferred) and BI tools (Hex, Metabase).
  • Strong attention to detail and ability to manage multiple priorities in a fast-paced environment.
  • Excellent communication skills, with the ability to explain data findings to non-technical stakeholders.

About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 120K - $150K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

View job listing ↗
The Saturday Briefing

Get the Saturday tech briefing

New company profiles, funding moves, and who’s hiring across the market — every Saturday morning.