AI Email & SMS Manager

Study.com, Mountain View, CA

What you will do

Own email and SMS as a revenue stream. Set the strategy, forecast the channel, and own its contribution to new members and lifetime value.
Build the acquisition nurture engine. Design, build, and continuously tune the automated flows that move a captured lead to a paid membership — abandon recovery, first-session nurture, offer sequencing, re-engagement, and win-back — across both College Saver and Test Prep, on email and SMS.
Architect the AI systems layer. Build the agents, pipelines, and internal tooling that let a small function operate like a large one: audience construction, content and variant generation, personalization, QA, anomaly detection, and automated reporting.
Partner with Product on the member experience. Work with Product, Content, Creative, and Data Science to build lifecycle experiences that read a learner's real behavior and academic goal, then intervene usefully — the right nudge, course, or milestone at the right moment — with learner progress as the retention lever.

Study.com, Mountain View, CA

$130K–$160K

a year

This base pay is below the median for software engineering jobs in the Bay Area with no level in the job title.

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

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Own email and SMS as a revenue stream. Set the strategy, forecast the channel, and own its contribution to new members and lifetime value.
Build the acquisition nurture engine. Design, build, and continuously tune the automated flows that move a captured lead to a paid membership — abandon recovery, first-session nurture, offer sequencing, re-engagement, and win-back — across both College Saver and Test Prep, on email and SMS.
Architect the AI systems layer. Build the agents, pipelines, and internal tooling that let a small function operate like a large one: audience construction, content and variant generation, personalization, QA, anomaly detection, and automated reporting.
Partner with Product on the member experience. Work with Product, Content, Creative, and Data Science to build lifecycle experiences that read a learner's real behavior and academic goal, then intervene usefully — the right nudge, course, or milestone at the right moment — with learner progress as the retention lever.