Revenue Data & Operations Engineer - Shotgun H/F
Role details
Job location
Tech stack
Job description
As Shotgun grows, so does our ambition. We're branching out into new territories, launching new business lines and building the systems that let our commercial teams scale without breaking.
As a RevenueData & Operations Engineer, you'll be embedded within the Global Operations team, at the intersection of Sales, Data, Finance and Product. You will own the critical data and tooling infrastructure behind Shotgun's revenue: the pipelines that move our commercial data, the models that attribute GMV and compute net margin, the custom apps that shape our CRM to our needs, and the AI systems that help our teams work faster.
This is a builder's role. You will design and ship end-to-end - from a dbt model in the warehouse to a custom React app inside CRM to an AI agent posting into Slack - and you'll own these systems in production, not just prototype them. Your work directly powers how we forecast, price, contract, and measure the health of our business.
What you will do
Data pipelines & analytics engineering
- Own our B2B CRM data model and associated data pipeline end-to-end (Hubspot / Airbyte / DBT / Snowflake)
- Own and evolve our GMV attribution model, crossing product and Ops data to attribute contracts at the event level.
- Own our net margin model: computing revenue, VAT, PSP fees (from Stripe API data), marketing costs (from Airtable), and sponsorship / access control / retrocommission fees - pushed to Snowflake as a clean, auditable dataset.
- Own a Market Intelligence Platform leveraging external data: collecting live-events data from multiple sources, enriching and deduplicating them, merging it with Shotgun data, and modeling distribution coverage, ultimately enabling the team to qualify its Total Adressable Market.
- Be a key contributor to our forecast models.
Custom development & systems integration
- Build custom apps inside CRM to bend it to our needs - e.g. sizing a deal, computing its forecasted net margin, or creating a pricing object.
- Own and maintain our HubSpot / Oneflow / n8n / Slack / Airtable / Supabase integrations so everything runs seamlessly in production.
AI-powered tooling
- Build and deploy internal AI systems (Claude + Shotgun MCP) - for example, letting Account Managers put events on sale directly through an AI interface.
- Build AI systems on external data to qualify our TAM and surface emerging opportunities, notify the right people in Slack, and close the feedback loop from their reactions back into the model.
Business partnership
- Support acquisition stakeholders in their day-to-day - Heads of Music nurturing the market, SDRs, Marketing Event Team, Sales, and Account Managers - turning their needs into tools, data and automations., As a RevenueData & Operations Engineer, you'll be embedded within the Global Operations team, at the intersection of Sales, Data, Finance and Product. You will own the critical data and tooling infrastructure behind Shotgun's revenue: the pipelines that move our commercial data, the models that attribute GMV and compute net margin, the custom apps that shape our CRM to our needs, and the AI systems that help our teams work faster.
This is a builder's role. You will design and ship end-to-end - from a dbt model in the warehouse to a custom React app inside CRM to an AI agent posting into Slack - and you'll own these systems in production, not just prototype them. Your work directly powers how we forecast, price, contract, and measure the health of our business.
- Own our B2B CRM data model and associated data pipeline end-to-end (Hubspot / Airbyte / DBT / Snowflake)
- Own and evolve our GMV attribution model, crossing product and Ops data to attribute contracts at the event level.
- Own our net margin model: computing revenue, VAT, PSP fees (from Stripe API data), marketing costs (from Airtable), and sponsorship / access control / retrocommission fees - pushed to Snowflake as a clean, auditable dataset.
- Own a Market Intelligence Platform leveraging external data: collecting live-events data from multiple sources, enriching and deduplicating them, merging it with Shotgun data, and modeling distribution coverage, ultimately enabling the team to qualify its Total Adressable Market.
- Be a key contributor to our forecast models.
Own our B2B CRM data model and associated data pipeline end-to-end (Hubspot / Airbyte / DBT / Snowflake)
Own and evolve our GMV attribution model, crossing product and Ops data to attribute contracts at the event level.
Own our net margin model: computing revenue, VAT, PSP fees (from Stripe API data), marketing costs (from Airtable), and sponsorship / access control / retrocommission fees - pushed to Snowflake as a clean, auditable dataset.
Own a Market Intelligence Platform leveraging external data: collecting live-events data from multiple sources, enriching and deduplicating them, merging it with Shotgun data, and modeling distribution coverage, ultimately enabling the team to qualify its Total Adressable Market.
Be a key contributor to our forecast models.
- Build custom apps inside CRM to bend it to our needs - e.g. sizing a deal, computing its forecasted net margin, or creating a pricing object.
- Own and maintain our HubSpot / Oneflow / n8n / Slack / Airtable / Supabase integrations so everything runs seamlessly in production.
Build custom apps inside CRM to bend it to our needs - e.g. sizing a deal, computing its forecasted net margin, or creating a pricing object.
Own and maintain our HubSpot / Oneflow / n8n / Slack / Airtable / Supabase integrations so everything runs seamlessly in production.
- Build and deploy internal AI systems (Claude + Shotgun MCP) - for example, letting Account Managers put events on sale directly through an AI interface.
- Build AI systems on external data to qualify our TAM and surface emerging opportunities, notify the right people in Slack, and close the feedback loop from their reactions back into the model.
Build and deploy internal AI systems (Claude + Shotgun MCP) - for example, letting Account Managers put events on sale directly through an AI interface.
Build AI systems on external data to qualify our TAM and surface emerging opportunities, notify the right people in Slack, and close the feedback loop from their reactions back into the model.
- Support acquisition stakeholders in their day-to-day - Heads of Music nurturing the market, SDRs, Marketing Event Team, Sales, and Account Managers - turning their needs into tools, data and automations.
Support acquisition stakeholders in their day-to-day - Heads of Music nurturing the market, SDRs, Marketing Event Team, Sales, and Account Managers - turning their needs into tools, data and automations.
Requirements
You have 2+ years of experience in Revenue/Business Operations, Data, Analytics Engineering or a similar builder role.
- You have strong hands-on experience with a modern data stack: dbt, Snowflake (or equivalents), and ELT tooling like Airbyte.
- You're fluent with no-code / low-code automation tools (n8n, Make, Zapier).
- You can ship code: comfortable with JavaScript/React to build custom apps and UI extensions, and with API integrations (REST, webhooks).
- Experience with HubSpot architecture, or another CRM at a deep technical level, is a strong plus.
- You use AI daily and are excited to build AI-powered tools - prompts, contexts, MCP, agents.
- You have real business sense: you can reason about revenue, margin, attribution and forecasting.
- You have outstanding analytical skills, you're proactive and organized, and you can own systems in production autonomously.
- You are fluent in French; strong English is necessary
- You're eligible to work in France.
- Note to women and underrepresented groups: We value diversity because it's essential for creativity and healthy growth. If you don't meet 100% of the requirements but are excited by this role, please apply, You have 2+ years of experience in Revenue/Business Operations, Data, Analytics Engineering or a similar builder role.
- You have strong hands-on experience with a modern data stack: dbt, Snowflake (or equivalents), and ELT tooling like Airbyte.
- You're fluent with no-code / low-code automation tools (n8n, Make, Zapier).
- You can ship code: comfortable with JavaScript/React to build custom apps and UI extensions, and with API integrations (REST, webhooks).
- Experience with HubSpot architecture, or another CRM at a deep technical level, is a strong plus.
- You use AI daily and are excited to build AI-powered tools - prompts, contexts, MCP, agents.
- You have real business sense: you can reason about revenue, margin, attribution and forecasting.
- You have outstanding analytical skills, you're proactive and organized, and you can own systems in production autonomously.
- You are fluent in French; strong English is necessary
- You're eligible to work in France.
- Note to women and underrepresented groups: We value diversity because it's essential for creativity and healthy growth. If you don't meet 100% of the requirements but are excited by this role, please apply
You have 2+ years of experience in Revenue/Business Operations, Data, Analytics Engineering or a similar builder role.
You have strong hands-on experience with a modern data stack: dbt, Snowflake (or equivalents), and ELT tooling like Airbyte.
You're fluent with no-code / low-code automation tools (n8n, Make, Zapier).
You can ship code: comfortable with JavaScript/React to build custom apps and UI extensions, and with API integrations (REST, webhooks).
Experience with HubSpot architecture, or another CRM at a deep technical level, is a strong plus.
You use AI daily and are excited to build AI-powered tools - prompts, contexts, MCP, agents.
You have real business sense: you can reason about revenue, margin, attribution and forecasting.
You have outstanding analytical skills, you're proactive and organized, and you can own systems in production autonomously.
You are fluent in French; strong English is necessary, postgraduate degree EducationalOccupationalCredential bachelor degree EducationalOccupationalCredential associate degree
Benefits & conditions
Compensation: Competitive salary
- Team Offsites & Events: We invest in team moments because they matter
- Shotgun Event Credits: Enjoy live events with quarterly credits
- Wellpass: Preferential rates for gyms and sports activities
- Sustainable Mobility Bonus: For eco-friendly commuting like biking
- Swile Lunch Card: Meals and more
- Alan Health Insurance: Full coverage for your health needs
- Childcare Support, Compensation: Competitive salary
- Team Offsites & Events: We invest in team moments because they matter
- Shotgun Event Credits: Enjoy live events with quarterly credits
- Wellpass: Preferential rates for gyms and sports activities
- Sustainable Mobility Bonus: For eco-friendly commuting like biking
- Swile Lunch Card: Meals and more
- Alan Health Insurance: Full coverage for your health needs
- Childcare Support
Compensation: Competitive salary
Team Offsites & Events: We invest in team moments because they matter
Shotgun Event Credits: Enjoy live events with quarterly credits
Wellpass: Preferential rates for gyms and sports activities
Sustainable Mobility Bonus: For eco-friendly commuting like biking
Swile Lunch Card: Meals and more
Alan Health Insurance: Full coverage for your health needs
Childcare Support
False