Knak is a mission-driven company
Why? Because our time is limited, our competition is fierce, and our margin for error is small. To have the biggest impact on the world, we stay focused on our core mission, which is...
Empowering marketers to be creative .
That’s why Knak exists.
In a world where AI has made everyone a creator, Knak helps marketers turn ideas into on-brand, high-performing campaigns at scale. The world's most AI-forward companies, including Meta, OpenAI, NVIDIA, Vercel, Notion and Stripe, use Knak as their agentic marketing production layer.
Here's what they and our investor Insight Partners figured out: creation got easy, but that’s making production harder. Every new idea and brief still has to be built, versioned, checked, approved, and shipped across every channel, and that work runs on handoffs, review cycles, and a lot of copy-paste. That middle stretch of the marketing stack has no system, no standard, and no owner.
Knak is the flexible factory for that work. Our customers set the brand rules, choose the tools that feed in and the platforms that send, and decide where AI does the work and where people do. We handle the repeatable parts, so marketers get their time back for the parts that aren't.
We're built by marketers, for marketers. We started with email because it's the hardest channel to get right and where many campaigns win or lose. Now we're bringing that same production discipline to every channel our customers use.
About the Role
Knak is hiring a Go-To-Market Analyst to support decision-making across go-to-market functions: marketing, revenue operations, sales, and finance. This is not a narrow campaign-reporting role. The person in this seat will be trusted with questions that span the full funnel, from lead generation and performance marketing through pipeline and revenue outcomes.
We are looking for someone who understands the marketing domain (lead generation, campaign performance, attribution, funnel metrics) as well as someone who can operate as a business analyst across departments. Candidates should be comfortable moving between "why did this campaign underperform" and "how does this connect to sales pipeline and finance targets."
What You'll Do
Analyze marketing performance across channels and campaigns, including lead generation and performance marketing metrics
Build and maintain reporting that connects marketing activity to sales pipeline, revenue, and finance outcomes
Partner with Revenue Operations and Sales to understand funnel conversion, attribution, and forecasting questions
Support Finance with GTM-related budget and spend analysis
Translate ad hoc questions from stakeholders across departments into clear, well-scoped analysis
Identify gaps or inconsistencies in GTM data and help improve data quality and definitions over time
Present findings in a way that is useful to both technical and non-technical audiences
Work with AI team on building out data agents that serve marketing purposes
Work with Data Engineering on structuring data architecture and source tables for marketing purposes
Work with Finance on annual planning and setting targets
What You'll Bring
3 to 5 years of experience in an analyst role, ideally with exposure to marketing, sales, or revenue operations data
Working knowledge of marketing concepts: lead generation, performance marketing, campaign attribution, funnel and conversion metrics
Strong SQL skills and comfort working directly with data rather than only pre-built dashboards
Working knowledge of CRM (Salesforce preferred) schema and objects
Familiarity with paid ad platform data such as Google Ads and LinkedIn Ads
Experience with Tableau or an equivalent BI tool (Looker, Power BI, or similar)
Ability to work across departments and communicate with stakeholders who have different priorities and levels of technical fluency
Comfort with ambiguity. Not every question will come pre-defined
Nice to Have
Experience with Snowflake or a similar cloud data…