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Growth Operations Manager

NoGood
CompanyNoGood
CategoryMarketing
LocationNew York
RemoteOn-site (inferred)
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted8 Jul 2026
Last verified2 Aug 2026
SourceEmployer career page (workable)
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Description
We are: NoGood is an award-winning, tech-enabled growth consultancy that has fueled the success of some of the most iconic brands. 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. 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 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. Since 2016, we’ve been delivering what others only promise. Why settle for good enough if you can be up to NoGood? We are: NoGood is an award-winning, tech-enabled growth consultancy that has fueled the success of some of the most iconic brands. 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. 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 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. Since 2016, we’ve been delivering what others only promise. Why settle for good enough if you can be up to NoGood? We are looking for:  We're looking for a technical Growth Operations Manager to join our Growth Systems & Engineering team. You'll own the automation infrastructure and operational workflows that keep NoGood running, building the integrations and pipelines that eliminate manual work, and then owning the processes that run on top of them. This isn't a pure builder role and it isn't a pure ops role. You'll split your time between building automations in n8n, maintaining the systems that connect our tool stack, and owning the operational layer those systems support, time tracking compliance, project hygiene, platform access, and internal SOPs. If you've built real automations, worked with APIs, and also have the operational instinct to know what needs to be systematized in the first place, this role is for you. You have: 1–2+ years in marketing operations, agency operations, or growth/marketing operations — agency experience strongly preferred End-to-end automated workflows using n8n and native platform automations across a modern ops and marketing tool stack Webhook-based integrations and REST API connections between SaaS platforms Automated reporting pipelines that surface project health, time tracking gaps, and team utilization — no manual data pulls Lightweight Python or JavaScript scripts when no-code tools hit their limits Comfort operating in a fast-moving, ambiguous environment where you often have to build the process and then run it Bonus Experience with cloud data warehouses or BI/reporting tools (e.g. BigQuery, Looker Studio) Familiarity with Slack API or Google Workspace APIs Experience with Claude API, OpenAI API, or LLM-integrated automation patterns You will do: Design, build, and maintain automated workflows using n8n and native platform automations, covering time tracking, project management, onboarding/offboarding, client reporting, and internal ops Own the full automation lifecycle: requirements gathering, flow design, build, testing, error handling, monitoring, and documentation Integrate disparate tools via APIs and webhooks into cohesive, maintainable automated workflows Build automated reporting and alerting pipelines that surface time tracking gaps, capacity overloads, project health signals, and utilization variance to leadership, without manual data pulls Identif
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