Jellyfish - Engineering Manager, AI Product
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Requirements
• Strong interest or experience in building and leading AI feature development teams for SaaS platforms. • Experience with shaping team structures and ways of working is a plus but not mandatory as humility and performance are prioritized over specific experiences. • Interest or experience in developing product capabilities on top of LLM technologies, though this isn't explicitly stated to be required for the role at hand. • Ability to communicate clearly with technical and non-technical audien0us is essential; however, no certifications are mentioned as a requirement. • Great question asker who can build consensus and execute effectively on tasks related to AI development in SaaS platforms. • Love of learning new things and teaching others what you know about data measurement and quantification within engineering teams. • Humility, performance-driven attitude, teamwork approach are highly valued but not explicitly stated as qualifications or skills needed for the job.
Responsibilities
• Oversee AI product development teams to ensure alignment with company goals and timelines for delivering high-quality products that meet customer needs. • Collaborate closely with cross-functional engineering teams to define technical requirements based on user feedback, market research, and business objectives. • Lead the design of scalable AI solutions by applying best practices in software architecture and ensuring code quality through rigorous testing procedures. • Monitor project progress against key performance indicators (KPIs) such as feature completion rate, defect resolution time, user satisfaction scores, etc., to ensure timely delivery and high product standards. • Facilitate communication between engineering teams and other departments like marketing, sales, customer service, or business development for a seamless end-to-end experience of AI products in the marketplace. • Provide technical leadership by mentoring junior engineers on best practices related to coding standards, design patterns, performance optimization, etc., while fostering an inclusive and collaborative work environment that encourages innovation and continuous learning. • Stay abreast with industry trends, emerging technologies, regulatory changes in AI ethics or data privacy laws relevant to the company's products by attending conferences, webinars, reading research papers, etc., for informed decision making on product development strategies and risk mitigation. • Participate actively in quarterly strategy meetings with senior management and other stakeholders to align AI engineering goals with business objectives while identifying opportunities or challenges that may impact the company's competitive positioning in the marketplace.
Benefits
• $195K – $265K • Offers Equity • The posted range represents the possible base pay for this role. Actual compensation will depend on your experience, skills, role scope, and alignment with the position. Some postings may include more than one salary band to reflect different levels. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Candidates may not apply more than 2 times in any 60 day span for any job at Jellyfish. • Jellyfish • or drag and drop here • I prefer not to answer • Another Gender Identity • Heterosexual / straight • Asian or Asian American • Black or African American • Hispanic or Latine • Indigenous or Native American • Native Hawaiian or Other Pacific Islander • Person with disability • Refugee or immigrant • None of the above
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