Product Manager leading the development and launch of AI products focused on marketing use cases at Goodie. Collaborating with Engineering and Design teams to solve complex marketing problems.
Responsibilities
Lead and drive the product development lifecycle from ideation to launch, ensuring alignment with product vision, customer needs.
Manage project timelines, resources, and deliverables to ensure velocity in deployment and successful on-time product launches.
Utilize product analytics tools to gather insights, measure product performance, and inform data-driven decisions.
Define and prioritize product features, creating clear roadmaps and communicating them effectively to stakeholders.
Drive the development of marketing collateral, including landing pages, guides, and presentations, to effectively communicate product value.
Work closely with sales and marketing teams to support go-to-market strategies and product positioning.
Continuously assess market trends and customer feedback to refine and improve products.
Ensure that all products meet high standards of quality, usability, and performance.
Foster a culture of continuous learning and improvement within the AI Lab.
Requirements
4+ years of experience in product management, preferably with B2B SaaS products focused on marketing use cases and persona.
Strong knowledge and passion for AI, with experience in Generative AI product development being a plus.
A degree in Product Management, Computer Science, Data Analytics, Marketing, or a related field is a plus.
Experience working with consumer to mid-market B2B SaaS products.
Proficiency in product analytics tools like Mixpanel, Amplitude or Aha!.
A proven track record of coordinating between design and engineering teams to achieve sprint goals on time.
Excellent project management skills and the ability to manage multiple priorities effectively.
Strong communication skills with the ability to convey product value through landing pages, guides, and presentations.
An analytical mindset with the ability to drive product decisions based on data and users feedback.
A collaborative approach, working seamlessly with cross-functional teams to deliver results.
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