NoGood

NoGood Open Applications

United States

Sponsorship not specifiedDetected 331 days ago

SpringMachine LearningData AnalysisProject ManagementSEOSEMContent MarketingContent CalendarsGoogle AnalyticsRecruitingResearchMentoring

About the role

We bring together the art and science of strategy, creative, content and growth expertise into a single cohesive team, powered by robust data analytics and proprietary AI tech.
Since 2016, we've been delivering what others only promise.
Why settle for good enough if you can be up to NoGood?

Understanding data in Google Analytics, Google Search Console, Ahrefs, etc, to identify why organic traffic is increasing/not increasing/staying the same and develop an actionable plan to achieve higher traffic month over month.
Lifecycle Marketing Own email, SMS, and other retention programs to nurture users throughout the customer journey.
Segment audiences and create personalized campaigns that drive engagement and conversions.
Build automated flows and test messaging strategies for maximum impact.
We are a team of growth leads, creatives, engineers and data scientists who help unlock rapid measurable growth for some of the world's category-defining brands.

Leverage keyword and competitor research to formulate a content calendar for each of our clients (must be able to identify the low hanging fruit to drive organic traffic quickly).

NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed.
NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity.
We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization.
We commit to sharing specific compensation ranges for any role in the organization when those roles become available.

Based in NYC, we support partners globally, with a client partner roster that includes VC-backed startups, scale-ups, and Fortune 500 companies such as Nike, Oura, Spring Health, TikTok, Intuit, P&G, and more.
NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity.
We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization.

We are always on the lookout for the best talent as the NoGood team grows.
Our team consists of sharp growth marketers experienced in omni-channel digital strategy, Paid Social and Paid Search, SEO, AEO, Lifecycle, COntent Marketing, Content Creation, Organic Social, and more.
As our reach expands in tech and AI, we are looking for talented Product Managers, Software Engineers, Machine Learning Engineers, Data Analysts, and other technologists.
We also need really smart people who keep the engines running- like professionals who specialize in Finance, People Operations, Talent Acquisition, Sales, GTM, Project Management, and Operations.
If you are passionate about driving growth and excited to learn & level up with a fast moving team- we want to meet you!
At NoGood, we understand that diversity in the workplace is vital to a company's success and growth.
We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for.
We are: NoGood is an award-winning, tech-enabled growth consultancy that has fueled the success of some of the most iconic brands.

To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws.

This listing is sourced directly from NoGood's careers page and normalized into a canonical job model.