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08/08 Rohan Mantri
Director - HR at Fasal

Views:268 Applications:86 Rec. Actions:Recruiter Actions:46

Fasal - Product Manager - Artificial Intelligence (2-6 yrs)

Bangalore Job Code: 1137420

About Fasal :

Fasal is an AI-powered IoT-SaaS platform for horticulture, which captures real-time data on growing conditions from on-farm sensors and delivers farm-specific, crop-specific, crop-stage-specific actionable advisories to farmers via mobile in vernacular languages.

Founded in 2018, Fasal focuses on high-value, export-oriented horticulture crops where farmers are concerned with maximizing yield quality and minimizing chemical residues.

To know more about us, visit - https://fasal.co

Latest News - https://inc42.com/buzz/agritech-intelligence-startup-fasal-raises-4-mn-from-3one4-capital-omnivore/

Job Type - Full-time

Job Location: Bengaluru, KA

Job Description

As the Product Manager - AI you will:

- Own the lifecycle of AI products.

- Manage the planning, development, launch, and success of products/solutions powered by the AI technologies at Fasal.

- Align internal teams to create, launch, and maintain AI-powered products/solutions in the market.

- Engage closely with the Product Development team to determine the best technical implementation methods as well as a reasonable execution schedule.

- Collaborate with the AI team and other internal and external stakeholders to gather the training data.

- Design User Centric Solutions that align with the strategic and business objectives of the company

- Serve as the bridge between business needs and a technically oriented AI team.

- Synthesise and drive product strategy from interactions with customers and business stakeholders.

- Help in the development and management of an actionable product roadmap.

Skills & Experience :

- Bachelor's degree in Computer Science or related technical field.

- Relevant experience in end to end Product Management, with at least 1 year of experience in AI Product Management.

- Hands-on experience in areas like programming (SQL, python), business analytics and training machine learning/deep learning algorithms to succeed without having to rely heavily on their peers.

- Strong understanding of AI product development and lifecycle along with software development lifecycle.

- Experience in data warehousing, code versioning tools (git, bitbucket), agile project management tools (Jira), BI tools (Quicksight, Tableau).

- Experience working with multiple internal and external stakeholders.

- Strong UX, technical, analytical and problem solving skills.

- Flexible, self-motivated, dedicated, and hard-working.

- Exceptional communication and coordination skills.

- Ability to adapt to a dynamic and constantly growing environment.

- Experience in weather forecasting, remote sensing and/or crop modeling will be an added advantage.

Women-friendly workplace:

Maternity and Paternity Benefits

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