What are the responsibilities and job description for the Marketing Operations Manager (Part-time Contractor) position at LILT ai?
About Us
Learn more about the general tasks related to this opportunity below, as well as required skills.
LILT is the leading AI solution for enterprise translation. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.
While our core AI technology might share similarities with ChatGPT and Google Translate, it's what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience to deliver hyper-accurate, business-focused results.
The Revenue Operations Team at LILT
The Revenue Operations team at LILT is responsible for managing processes, systems, and data across marketing, sales, and customer success operations to maximize revenue growth and predictability. Core responsibilities include Strategic Planning, Revenue Team Operations Management, Tech Stack Management and Optimization, Data Quality and Analytics, and Sales Efficiency Optimization.
Where You’ll Work
This is a part-time (approximately 15 hours per week) contract position based out of the US or Canada. Working hours must overlap with US PST or EST.
Authorization to work in the U.S. or Canada is a precondition of employment.
What You’ll Do
LILT is seeking a highly motivated and experienced Marketing Operations Manager to join our team on a contract basis. In this role, you will play a critical role in optimizing our marketing technology stack and streamlining our lead-to-opportunity process. You’ll recommend, build consensus, scope, and run cross-functional projects and process improvements that directly impact our operational efficiency and top-line growth of all revenue lines.
Key Responsibilities :
- Marketing Technology Stack Management :
- Oversee the implementation, configuration, and maintenance of our marketing automation platform (e.g., Marketo, HubSpot, Pardot).
- Integrate marketing automation platforms with other key systems such as CRM (e.g., Salesforce), website analytics (e.g., Google Analytics), and advertising platforms (e.g., Google Ads, LinkedIn Ads).
- Evaluate and recommend new marketing technologies and platforms to improve efficiency and effectiveness.
- Ensure data quality and consistency across all marketing systems.
- Lead-to-Opportunity Process Optimization :
- Develop and implement lead scoring models to identify high-quality leads.
- Design and execute lead nurturing campaigns to guide prospects through the buyer's journey.
- Work with demand gen to track attribution for marketing sourced influenced pipeline.
- Oversee marketing funnel process management to optimize lead flow.
- Identify and implement process improvements to streamline the lead-to-opportunity process.
- Collaborate with sales and marketing teams to align lead scoring and qualification criteria.
- Design, implement, and maintain complex workflows to ensure automated lead progression.
- Drive continuous improvement of Lead and Demo routing systems.
- Data Analysis and Reporting :
- Generate regular reports on marketing campaign performance and lead generation activity.
- Analyze data to identify trends and inform future marketing strategies.
- Develop dashboards and visualizations to effectively communicate key marketing metrics to stakeholders.
- Project Management :
- Manage marketing technology projects, including implementations and upgrades.
- Ensure projects are delivered on time and within budget.
- Collaborate with cross-functional teams to ensure successful project execution.
Skills and Experience :
Our Story
Our founders, Spence and John met at Google working on Google Translate. They left to start LILT to address the need for enterprise translation.
At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. LILT has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to any classification protected by applicable local, state, or federal laws.
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