About The Role
We’re hiring a
Go-To-Market Engineer to build the internal systems that power how Magical identifies demand, engages buying groups, accelerates deals, and scales revenue.
This is not a sales role — and it’s not a traditional engineering role.
This role sits at the intersection of engineering, automation, AI, and revenue operations. You’ll design and ship the signal infrastructure, agent workflows, and orchestration tooling that turns messy GTM data into precise, automated action: from account intelligence and buying-stage detection to SDR alerts, personalization, and deal acceleration.
If you love building fast, automating everything, and seeing immediate business impact, you’ll thrive here.
What You’ll Do
- Build GTM Signal Infrastructure - Design automated systems that score ICP fit, map buying committees, support visibility into buying group engagement and coverage, and track multi-threaded engagement across target accounts.
- Capture Intent & Engagement at Scale - Aggregate and normalize intent, website, content, ad, and event signals to understand real buying behavior by account and persona.
- Detect Buying Stage & Deal Health - Translate multi-signal engagement patterns into buying-stage readiness, momentum shifts, and stalled-deal risk indicators.
- Orchestrate Automated GTM Actions - Trigger real-time outreach, personalization, audience syncing, nurtures, and deal-acceleration plays based on live engagement signals.
- Build Internal Tooling & Agent Workflows - Ship AI agents, integrations, and automation tooling that turn manual GTM workflows into scalable revenue systems.
- Partner With Marketing, Sales, and RevOps - Translate GTM strategy into scalable systems and automation.
- Add Data Quality & Governance - Maintain data reliability, normalization, and signal accuracy across GTM systems
What “AI Native” Means Here
We’re looking for someone who is fluent in using AI to build. You should be comfortable:
- Automating data enrichment & research workflows
- Generating structured account intelligence from unstructured sources
- Detecting anomalies or pipeline risk patterns
- Summarizing engagement insights for GTM teams
- Prompting effectively and building repeatable prompt workflows
- Using tools like Claude Code, Codex, Cursor, or similar to build faster
- Building multi-step agent flows and orchestrations
- Working with RAG-style architectures (without needing to be an embeddings researcher)
- Designing tool-calling agents that interact with APIs and internal systems
What We’re Looking For
- New grad or early-career engineer who has shipped real production code (internships, co-ops, side projects all count)
- Alternatively, a marketer with strong technical skills who uses automation and AI to engineer scalable, signal-driven growth systems
- In either case, you should have a strong scripting and automation comfort level (Python and/or TypeScript preferred)
- Experience working with APIs, data pipelines, and integration-heavy systems
- Builder mindset: you see a problem, you fix it, you ship it
- High ownership, high urgency, low ego
- Product instincts: you can think through user needs and design workflows that make sense
- Interest in GTM and how companies actually scale revenue
Nice to Have
- Experience with browser automation tools (Playwright, Puppeteer, Selenium)
- Experience building internal dashboards, admin tools, or automation frameworks
- Experience building agent workflows or multi-agent systems
- Experience with SaaS GTM (ABM, lifecycle marketing, sales pipelines, onboarding, implementation, CS workflows)
This Role is NOT a Fit If…
- You need highly detailed specs before you can start
- You prefer long planning cycles over shipping and iterating
- You like research projects more than building real systems used daily
- You want a slow-paced environment with heavy structure and oversight
What Success Looks Like
Within your first 90 days, you will have shipped systems that:
- automate GTM signal capture and orchestration
- surface high-intent accounts earlier
- improve SDR efficiency and deal velocity
- reduce manual ops work across revenue teams
- create durable automation leverage across GTM
- increase signal reliability and GTM decision confidence
Month One Expectation
Within your first month, you’ll likely become
the number 1 user of Magical’s own product, building and iterating with it daily while also creating tooling around it.
Why Join Magical
- Work directly on problems tied to revenue and real-world adoption
- Ship constantly and see impact immediately
- Operate like a founder: high trust, high ownership, high velocity
- Build the tooling layer that scales an AI company
