Senior Product Marketing Manager - Remote US

Responsibilities :

• Develop product positioning that differentiates Level AI by understanding customer needs, product roadmap, market trends, and competitive forces.
• Be the GTM leader for the specific products within the Level AI platform and the industry vertical that you will own.
• Work closely with the product team and articulate crisply and clearly the capabilities, functionalities, and business benefits of our products and solutions in customer-facing material such as datasheets, website landing pages, videos, and sales decks.
• Develop the go to the market vision for your product, and execute marketing strategies to drive awareness of Level AI - identify goals, risks, audience, messages, and tactics.
• Develop Content for customers, evaluators, advocates, and channel partners, including emails, blogs, webinar content, use cases/customer stories, and more.
• Be an expert and thought leader about our platform, the industry trends, and the players in the market.
• Become the go-to person for sales and customer success teams to understand the ins and outs of our product and the market.
• Document and keep a tab on market trends and competitive forces. Partner with the product team to develop the product roadmap.

Skills/Competencies

• Stellar writing skills
• Excellent presentation skills
• Excellent verbal communicator
• Excellent analytical skillsSelf-sufficient: can produce customer-facing brochures, landing pages, training videos, and slide presentations with minimal supervision and guidance.
• Strategic: understand the space, the customer, and the criticality of his/her role in the organizationPassionate about great enterprise software, AI, and product marketing.

Requirements :

• Bachelor's degree, Master’s degree a plus4+ years of Product marketing experience in Enterprise Software (experience in an early-stage startup environment is a huge plus).
• Client-facing experienceDomain knowledge of Enterprise SAAS software.
• Compensation: We offer market-leading compensation, based on the skill set and aptitude of the candidate.