Ready to join one of the fastest-growing agencies in the growth space? You've arrived at the right place!
NoGood is an award-winning, tech-enabled growth consultancy that has fueled the success of some of the most iconic brands in Consumer, AI, B2B SaaS and Healthcare. We are a team of seasoned growth leads, creatives, engineers, and data scientists who unlock rapid, measurable growth for some of the world’s category-defining brands. 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.
Based in NYC, we support partners globally, with a client roster that includes VC-backed startups, scale-ups, and Fortune 500 companies such as Nike, Oura, Spring Health, TikTok, Intuit, P&G, and more.
Since 2016, we’ve been delivering what others only promise. Why settle for good enough when you can be up to NoGood!
We're seeking an exceptional Software Engineer to join our rapidly growing AI Lab. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers and Machine Learning Engineers to design and build scalable, industry-leading AI solutions.
EEO & Compensation Transparency:
NoGood/Goodie AI 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. The compensation range for this position is $90,000 - $110,000, base pay plus bonus.
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. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. 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 will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization.
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Are you ready to dive into the dynamic world of AI and innovation? Join NoGood as a Software Engineer and be part of our thrilling journey! At NoGood, we’re not just any ordinary growth consultancy; we’re an award-winning team of creatives, engineers, and data scientists dedicated to driving success for some of the most recognizable brands across the Consumer, AI, B2B SaaS, and Healthcare sectors. As a Software Engineer in our rapidly expanding AI Lab, you will play a pivotal role in crafting cutting-edge AI solutions. Collaborating closely with our Product Lead, Designers, and Machine Learning Engineers, you will lead the development of an AI platform focused on scalability and user experience. Your expertise in front-end technologies like React will help create smooth user interfaces, while your back-end skills will ensure robust infrastructure supporting seamless integrations through APIs. With your strong problem-solving skills and a passion for ad tech, you’ll contribute throughout the application lifecycle, from coding to testing. We value continual learning, which is why we offer access to top-tier resources and mentorship for career growth. If you have at least 4 years of experience in full-stack development, a knack for collaboration, and a desire to make an impact, then NoGood is the right place for you. Let’s grow together and redefine what's possible in the tech space!
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