Marketing Analytics & AI Automation Associate (Part-Time)
GISSV is a K-12 German international school in Silicon Valley. Families choose us the way they choose a house: months of research, multiple campus visits, a five-figure annual decision, and a commitment that often lasts a decade. That makes our marketing funnel unusually long, unusually measurable, and unusually high-stakes. We're looking for someone analytical to build the measurement layer under it and to automate the repetitive parts of the work with AI agents. You'll work directly with our fractional CMO, who sets strategy; you own the technical execution.
There's a real number at the bottom of the funnel. Inquiry → tour → application → enrolled. Every conversion has a dollar value attached and a name behind it. You will be able to point at what you moved. You're the technical half of a two-person team, not an extra pair of hands. We already have a strong marketing generalist covering brand, content, and stakeholder relationships. You're being hired for the complement: data, tooling, measurement, automation.
You'll be coached, not just supervised. Your manager is a fractional CMO. Standing weekly working sessions, direct feedback on your work, and a portfolio of real artifacts at the end — not a certificate of completion. We actually want you to use AI profoundly. If you've been building agentic workflows on your own time and looking for somewhere to point them at a real problem, this job is for you.
Essential Duties and Responsibilities:
Measurement foundation:
Audit and repair GA4, conversion tracking, and UTM discipline across all channels
Define the funnel stages and the events that mark them; make the definitions stick
Build a single recurring dashboard the leadership team and board will actually read
Consistent reporting cadence:
Weekly channel snapshot, monthly funnel review, term-based board reporting
Own the numbers end to end: pull, sanity-check, interpret, present
Flag what's off before anyone has to ask
Agentic workflow builds progressively, as the data foundation allows:
Competitive analysis — automated monitoring of peer and competitor schools: positioning, pricing, events, ad creative, organic presence
Audience segmentation — moving from one undifferentiated parent audience to defined segments with distinct motivations
Personalization — segment-appropriate messaging across email, landing pages, and paid
Signal-based journey measurement — identifying the behaviors that actually predict an application, and instrumenting for them
Other duties and/or projects as assigned.
Experience and Qualifications:
Currently enrolled (undergrad or grad) or recently graduated — Santa Clara, Stanford, Berkeley, or nearby
Genuine comfort with data: you can work in spreadsheets fluently, and SQL or Python is a strong plus
Hands-on experience building something with LLMs beyond chatting with one — automations, agents, scripts, scrapers, evals
Self-directing. Much of this is remote and asynchronous. We'll give you context and clear priorities; we can't give you constant supervision.
Available through at least June 2027
We are explicitly not requiring a marketing background. Some of the strongest candidates for this role will be studying data science, statistics, CS, symbolic systems, economics, or IEOR. If you can reason about numbers and build things, we'll teach you the marketing.
Nice to have:
German language ability
Familiarity with GA4, Google Ads, Meta Ads Manager, or a marketing automation platform
Any exposure to education, nonprofit, or another long-consideration-cycle purchase
FLSA Classification:
Non-Exempt (hourly)
Hours:
20 hours/week, flexible around your class schedule
Reports To:
Fractional CMO; works closely with the marketing generalist and the admissions team
Location:
Remote-first; roughly two days per month on campus in Mountain View, plus a small number of admissions events
Pay Scale:
$36.00 - $45.00 per hour worked, depending on experience
Please note that we are only able to accept applications of candidates who fulfill the language requirements and who are eligible to work in the US (sponsorship of work visa is not available for this position).