Coder
Revenue Workflow Engineer
Vaga remota de Sales Operations com fit claro de localização do candidato.
Publicada15 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeNível aberto
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Revenue Workflow Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- Support day-to-day revenue workflows across Salesforce and related GTM systems
- Build lightweight automations, structured templates, and repeatable processes that reduce manual work
- Create and test AI-assisted workflows for account research, CRM updates, customer summaries, and pipeline insights
- Review AI-generated outputs for accuracy, clarity, and usefulness
- Help maintain clean, accurate account, contact, opportunity, and customer data
- Build and update reports, dashboards, spreadsheets, and operating views for GTM teams
- Analyze revenue data to spot trends, gaps, risks, and process issues
- Partner with Sales, Customer Success, Marketing, Product, Finance, and RevOps on process improvements
- Troubleshoot workflow issues independently, then escalate with clear context and a recommendation
- Translate business questions into clear analysis using spreadsheets, CRM reports, SQL, or BI tools
- Learn how revenue systems connect, then help make those connections cleaner and easier to use
- Forecasting: Improve the weekly forecast process by cleaning Salesforce data, tracking pipeline movement, and helping leaders understand what changed
- Value workflow replacement: Help rebuild the Mediafly Value Prompter workflow into a lighter, more accurate, and more maintainable process
- Weekly pipeline meetings: Own the prep, notes, follow-ups, and reporting that make pipeline reviews useful and consistent
- Lead signal consolidation: Combine signals from 6sense, ZoomInfo, LinkedIn Sales Navigator, Salesforce, and other tools into a weekly leads report
- Prospecting alerts: Create dashboards and alerts that highlight accounts Sales should prioritize based on buying signals and account fit
- 0–2 years of experience in operations, data analysis, systems work, computer engineering, or a related internship or project
- Strong analytical skills and comfort working with spreadsheets, structured data, and business metrics
- A self-starter who can take a vague problem, define the next step, and make progress independently
- An engineering mindset. You break problems down, test assumptions, document decisions, and improve the system
- High attention to detail. You catch messy data, unclear handoffs, and broken processes
- Strong written communication skills. You can explain what changed, what matters, and what should happen next
- Comfort learning new tools quickly, especially CRM, reporting, automation, and AI tools
- A builder mindset. You like turning repeat work into cleaner workflows
- Strong ownership. You follow through, ask good questions, and raise issues with context
- Comfort with ambiguity. You can start with imperfect inputs and create structure as you go
- Interest in AI-assisted workflows, automation, and modern GTM systems
- Ability to travel under 10%
- Internship, coursework, or project experience with Salesforce, HubSpot, spreadsheets, SQL, BI tools, or automation tools
- Experience building dashboards, trackers, internal tools, scripts, or lightweight automations
- Familiarity with Python, JavaScript, APIs, Zapier, n8n, Clay, or similar tools
- Experience using AI tools to summarize information, clean data, research accounts, or improve workflows
- Exposure to Sales, Customer Success, Marketing, Finance, or RevOps teams
- Interest in developer tools, cloud infrastructure, enterprise software, or open-source technology
- A portfolio, school project, side project, or work sample that shows how you solve problems with data and systems
Our use of AI in hiring
- Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
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