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Rotational growth role supporting sales, customer success, product, and operations to identify and execute revenue and retention initiatives. Drive process improvements, pilot new initiatives, build cross-functional relationships, share insights, and work with mentors to scale growth and operational efficiency.

Rotational, cross-functional role supporting sales, customer success, product, and operations. Lead short- and medium-term projects, improve processes, pilot initiatives, build relationships across teams, work with mentors, and recommend improvements to drive efficiency and growth.

The Full Stack Engineer will build and maintain features across TypeScript, React, and Node.js. Responsibilities include designing APIs, scaling infrastructure, and owning projects end to end in a fast-paced, collaborative environment.

As a Design Engineer, you'll build product and internal tools, prototype new features, and define UI architecture while collaborating closely with the team.

Maple is seeking talented individuals for various roles in building AI agents for local businesses. Candidates should submit resumes expressing their fit for the team, emphasizing a fast-paced, collaborative, and innovative work environment focused on leveraging technology for customer interactions.

The GTM Engineer will automate and optimize workflows across sales and marketing, ensuring efficient data handling and system operations.

As a Growth Engineer at Maple, you will develop and automate revenue systems, enhance rep tools, collaborate across teams, and innovate solutions for growth.

As an SMB Account Executive, you will close deals with business owners, manage fast-paced sales calls, collaborate with teams, and refine sales strategies achieving significant growth in customer acquisition.

As a Business Development Representative, you'll engage with potential customers, qualify leads, build relationships, and collaborate with the sales team to drive growth for Maples AI product.

As an ML Research Engineer, you'll optimize speech recognition and NLP models, integrate AI components, and develop knowledge graphs. Collaborate with experts, manage rapid experimentation, and publish research.