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Product Manager - Data, AI & ML

Thiruvananthapuram Office, AEDGE AICC India Pvt Ltd

About the Company

Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.

About the role

We're seeking an experienced Product Manager with 5-6 years of experience to drive our Data, AI & ML product development initiatives. You'll own the end-to-end product lifecycle for Data, AI/ML-powered solutions, from ideation through market delivery. This role focuses specifically on building and scaling Data, AI & ML products that solve complex enterprise challenges across various industry verticals.

Location. This role is office-based at our Trivandrum, Kerala office. 

What You’ll Own

  • Data, AI/ML Product Strategy: Define and execute product vision and roadmap for Data, AI/ML solutions targeting enterprise customers
  • Product Development: Lead the complete product development lifecycle for Data, AI/ML products, from concept to market launch
  • User Research & Discovery: Conduct deep user research to understand Data, AI/ML use cases and requirements across different industries
  • Technical Product Management: Work closely with ML engineers and data scientists to translate business requirements into technical specifications
  • Market Analysis: Analyze market opportunities and competitive landscape in the Data, AI/ML space

What You'll Do (Key Responsibilities)

  • Drive product strategy and roadmap for Data, AI/ML products based on market research and customer needs
  • Lead product discovery through customer interviews, user research, and industry analysis to identify Data, AI/ML opportunities
  • Define detailed product requirements, user stories, and acceptance criteria for Data, AI/ML features and capabilities
  • Collaborate with ML engineers, data scientists, and engineering teams to deliver Data, AI/ML products
  • Manage product backlogs and prioritization for Data, AI/ML development initiatives
  • Analyze product performance using data analytics and machine learning insights to drive product improvements
  • Work directly with enterprise customers to validate Data, AI/ML product-market fit and gather feedback
  • Partner with sales and marketing teams to develop go-to-market strategies for Data, AI/ML products
  • Communicate product vision and progress to executive stakeholders
  • Drive product launches and adoption strategies for Data, AI/ML solutions

Required Qualifications

  • Experience: 5-6 years of product management experience with at least 2-3 years focused on data, AI, or ML products
  • AI/ML Product Knowledge: Proven experience building and shipping AI/ML products or data-driven solutions
  • Technical Understanding: Strong grasp of machine learning concepts, data pipelines, and AI/ML product development lifecycle
  • Enterprise Experience: Background in B2B product development, preferably in AI/ML, data platforms, or enterprise software
  • Analytical Skills: Proficiency with data analysis and product analytics to drive decision-making
  • Customer Focus: Experience conducting user research and translating customer needs into AI/ML product requirements
  • Cross-Functional Leadership: Proven ability to work with technical teams including ML engineers and data scientists
  • Communication Excellence: Ability to communicate complex AI/ML concepts to diverse audiences
  • Results-Driven: Track record of successfully launching AI/ML products and achieving measurable business outcomes

Preferred Qualifications

  • Experience with MLOps, model deployment, and production AI systems (You don't have to do this, but at least know how these work)
  • Experience with AI/ML tools and frameworks (understanding of model training, deployment, and monitoring)
  • Previous experience at AI/ML companies or tech companies with strong data/AI focus
  • Understanding of edge computing, IoT, or distributed AI systems
  • Experience with product analytics and experimentation frameworks
  • Experience working with global teams and international customers

Application Process

Please include:

  • Resume highlighting your Data, AI/ML product management experience and shipped products
  • Cover letter explaining your passion for Data, AI/ML products and experience with technical product development
  • Examples of Data, AI/ML products you've built and their business impact
  • Any relevant technical knowledge or certifications in Data, AI/ML

Compensation

For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. 

#LI-AR1

#LI-Onsite

You're a Great Fit if You're

  • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge 
  • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude 
  • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
  • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda 
  • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you 

Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

 

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