Lifecycle Marketing Specialist
🇺🇸 United States
React Native
Stellar
CRM
Mongo
Java
PostgreSQL
Marketing
Backend
$100K - $125K
Lifecycle Marketing Specialist
from 🇺🇸 United States
$100K - $125K
America's #1 Sports Trading App
Tech description:
We're building the first high-frequency sports prediction trading platform.
Stack: mobile app in React Native; backend exchange and trading components in Java; database layer in PostgreSQL, Mongo, S3.
We’re a nimble team of researchers, engineers, statisticians, and other flavors of nerd who want to tackle some of the most challenging open-ended problems at the intersection of sports, game theory, and technology.
If you enjoy solving hard interdisciplinary problems, then you’ll enjoy working at Novig.
*Proof:* People who work at Novig solve hard interdisciplinary problems. â–ˇ
Job description:
## **Lifecycle Marketing Specialist**
_$100k – $125k • meaningful equity_
**About Novig**
Novig is building America's #1 sports prediction market. Our mission is to financialize and democratize sports trading - taking a closed system run by casinos and turning it into a fair, efficient, two-sided market where the power sits with users.
With Novig recently becoming a CFTC-designated market — the fastest designation of its kind in US history— we're bringing the prediction market built for sports fans nationwide.Â
We're backed by some of Silicon Valley's top investors — Pantera, Forerunner, Lux, NFX, Paul Graham, and Joe Montana — who have collectively invested over $100M behind this vision.Â
**About the Role**
This is a unique opportunity to help shape Novig's lifecycle marketing function from an early stage. You'll have the chance to expand on your own ideas, try new things without a rigid playbook, and help redefine how we connect with sports fans. As we continue to innovate how users trade sports, you'll also have a hand in how they experience it.
### **Who you are and what you will do**
* 2-3 years of experience in lifecycle, CRM, or retention marketing
* Familiarity with CRM platforms (Braze, [Customer.io](http://Customer.io), etc.)
* You know ball — you live and breathe sports, as well as understand how everyday fans think
* Shape and execute strategy for day-to-day campaigns across email and push notifications
* Build segments using behavioral data and user attributes to keep messaging relevant
* Support and ideate automated flows like onboarding, retention, and re-engagement campaigns
* Run A/B tests on messaging, timing, and creative to improve open, conversion, and retention rates
* Collaborate closely with Product, Data, and Creative to keep messaging consistent and on-brand
* Develop transactional sends across key user touchpoints
* Help plan and launch live campaigns tied to real-time game action
## **Why work here, in the words of the people who do**
_“I work with extremely stellar people, I own real systems, and decisions happen fast. No politics, no waiting for needless red tape. If something's broken, I fix it. If I build something good, it ships.”_
_“The people! They're smart, thoughtful, fun to work with and passionate about their craft.”_
_“I'm having the most fun I've had in my entire career.”_
If you want responsibility, trust, and the chance to help build the future of sports prediction markets - take your shot, we’d love to connect.Â
**Not for everyone**
* Our work is tied to live sports - that means potential nights, weekends, and pressure included.Â
* If you need clear swim lanes, a heavy process, or someone to tell you what to do, this won’t be the right environment.
### **Compensation & benefits**
* $100k – $125k base, benchmarked at top-tier tech companies
* Meaningful equity for every employee, regardless of role
* 100% health premiums covered
* 99% dental & vision covered
* 401(k) with 4% company match
* HSA + $1,080 annual company contribution
* $50/monthly company contribution to employee transit
* $27/day lunch stipend when working from our NYC office
* $35/day dinner stipend when working from the NYC office after 6:30pmÂ
### **Homebase**
### Union Square, NYC



