About the role

Senior Product Manager overseeing innovative e-commerce software solutions at Relay Commerce. Driving product strategy and market impact with a focus on AI and data-driven solutions.

Responsibilities

Develop and execute a comprehensive product strategy that aligns with the company's vision and drives significant market impact.
Lead the end-to-end product lifecycle, from ideation and customer discovery to launch and post-launch optimization, with a strong focus on go-to-market strategy and execution.
Define and prioritize a product roadmap that balances innovation, customer needs, and business objectives, with an emphasis on creating unique value propositions.
Collaborate closely with engineering, design, and data teams to translate product requirements into tangible and scalable solutions.
Cultivate a deep understanding of the e-commerce landscape, our customers' evolving needs, and competitive dynamics to identify and capitalize on new opportunities.
Champion a data-informed culture, leveraging analytics and user feedback to make informed product decisions and measure success.
Engage with key stakeholders, including marketing, sales, and customer success, to ensure seamless product launches and effective market positioning.
Develop AI-powered and data-driven products, leveraging AI technologies (such as LLMs and ML) and machine learning models to deliver personalized user experiences and enhance product functionality.
Maintain a regular cadence of direct customer conversations to gain a deep understanding of customer desires beyond their initial requests.

7+ years of proven experience as a Product Manager in a SaaS environment, with a demonstrated history of taking products from initial concept to mass adoption.
A strong background in developing and executing successful go-to-market strategies.
A solid technical foundation with the ability to comprehend complex software architecture and engage in in-depth technical discussions.
A strong and responsible user of LLMs in the product development lifecycle, driving an increased rate of experimentation, validation and prototyping.
Experience with machine learning concepts, data products, or a background in data science.
An innovative mindset with a methodical approach to product discovery to apply first-principles thinking to uncover unique product value and solve complex problems.
Strong business acumen that allows for taking calculated risks to make a significant impact on product direction to drive consistent revenue growth through measured resource investments.
Excellent communication and interpersonal skills, with the ability to inspire and lead cross-functional teams, through a clear product strategy and roadmap