AI ML Product Manager
Home Office (Argentina)
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Job Responsibilities:
The AI/ML Product Manager is responsible for leading the development and execution of machine learning and artificial intelligence products. This role involves collaborating with cross-functional teams including data scientists, engineers, and designers to define product vision, strategy, and roadmap. The AI/ML Product Manager ensures alignment with business goals, conducts market research, and gathers customer insights to drive innovative solutions. They oversee the end-to-end product lifecycle, from ideation and development to launch and iteration, ensuring high-quality deliverables. With a strong technical background and a keen understanding of AI/ML technologies, the AI/ML Product Manager bridges the gap between technical teams and business stakeholders to deliver impactful products that meet market demands and drive business growth.Responsibilities:
- Define product vision, strategy, and roadmap for AI/ML products.
- Collaborate with cross-functional teams including data scientists, engineers, and designers to develop and deliver innovative AI/ML solutions.
- Conduct market research and gather customer insights to identify opportunities and inform product decisions.
- Translate business requirements into technical specifications and ensure alignment with overall business goals.
- Prioritize product features and enhancements based on customer needs, market trends, and technical feasibility.
- Oversee the end-to-end product lifecycle, from ideation and development to launch and post-launch iteration.
- Manage product backlog, sprints, and releases, ensuring timely and high-quality deliverables.
- Communicate product vision, progress, and updates to stakeholders, including executives and team members.
- Monitor product performance and user feedback, and implement improvements and optimizations.
- Stay up-to-date with the latest advancements in AI/ML technologies and industry trends.
- Identify and mitigate risks associated with product development and deployment.
- Facilitate effective collaboration and communication between technical and business teams.
- Drive adoption and usage of AI/ML products through effective go-to-market strategies and user education.
- Ensure compliance with relevant regulations and ethical standards in AI/ML development.
- Mentor and guide junior team members, fostering a culture of continuous learning and innovation.
Education:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field;
- Experience: Proven experience as a Product Manager or Solutions Engineer, preferably with a focus on AI/ML products.
Skills & Knowledge:
- Strong understanding of machine learning, artificial intelligence, and data science principles.
- Proficiency in translating business requirements into technical specifications.
- Experience working with cross-functional teams, including data scientists, engineers, designers, and business stakeholders.
- Demonstrated ability to define and execute product vision, strategy, and roadmap.
- Strong project management skills, including managing product lifecycles, backlogs, sprints, and releases.
- Excellent analytical and problem-solving abilities.
- Strong communication and interpersonal skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Familiarity with market research and customer insight gathering techniques.
- Knowledge of industry trends and advancements in AI/ML technologies.
- Experience with product performance monitoring and user feedback analysis.
- Ability to prioritize tasks and manage time effectively in a fast-paced environment.
- Understanding of relevant regulations and ethical standards in AI/ML development.
- Experience with go-to-market strategies and driving product adoption.
- Familiarity with agile development methodologies.
Additional Job Details:
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Engineering Machine Learning Market research Privacy Research
Perks/benefits: Career development
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