Machine Learning Product Lead
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About the Role
Job Title: Machine Learning Product Lead (1 Position) About the Job We are looking for an experienced Machine Learning Product Lead to define and drive the product strategy for AI and ML solutions across our platform.
Key Skills for This Role
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Overview
Job Title: Machine Learning Product Lead (1 Position)
About The Job
We are looking for an experienced Machine Learning Product Lead to define and drive the product strategy for AI and ML solutions across our platform.
The successful candidate will work at the intersection of product, data science, engineering and business teams to identify high-impact machine learning opportunities, translate customer and business needs into product requirements, and lead the delivery of ML-powered features from concept to launch.
This is a hands-on role that requires a strong product mindset, technical fluency and the ability to balance user value, model performance and business outcomes.
Responsibilities
- Define the product vision, roadmap and prioritization strategy for machine learning and AI-powered features.
- Translate business needs and customer pain points into clear ML product requirements, use cases and success metrics.
- Collaborate closely with data scientists, ML engineers, designers and software engineers to deliver models and features that are production-ready and customer-focused.
- Lead discovery and experimentation efforts to validate ML opportunities, including prototype testing, user feedback and performance evaluation.
- Define product KPIs and monitor feature adoption, model performance, business impact and customer satisfaction.
- Work with go-to-market, sales and customer success teams to position ML capabilities, support launches and gather market feedback.
- Ensure product decisions balance model quality, latency, cost, explainability, security and scalability.
- Maintain a strong feedback loop between customers, internal stakeholders and engineering teams to continuously improve the roadmap.
- Create clear product documentation, executive updates and launch materials.
- Mentor teams and contribute to a culture of rigorous, customer-centered product development.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business or a related field.
- 5+ years of experience in product management, with at least 2 years focused on machine learning, AI or data-driven products.
- Strong understanding of the ML product lifecycle, including data collection, model development, validation, deployment and monitoring.
- Proven track record of launching and scaling software or AI features in production environments.
- Experience working cross-functionally with data scientists, engineers, designers and business stakeholders.
- Strong analytical skills and comfort with product metrics, experimentation and data-driven decision making.
- Excellent communication, prioritization and stakeholder management skills.
- Ability to balance technical complexity with user needs and commercial goals.
- Experience in B2B, enterprise, IoT, energy or industrial domains is a plus.
- Fluency in English; additional languages are an advantage.
What We Offer
- The opportunity to shape the product direction of AI and machine learning solutions.
- A collaborative team of product, engineering and data science professionals.
- Competitive compensation and project-related resources.
- Support for professional development and publication opportunities.
- Exposure to high-impact, real-world ML use cases and customer deployments.
How To Apply
Please submit the following to farhang@parsikia.ir with subject line "Machine Learning Product Lead":
1. CV (max 2 pages)
2.
Cover letter (1 page) describing relevant experience and why you are excited about ML product work
3.
Product portfolio or links to relevant projects (PDF or URL)
4.
Two references (name, role, contact)
Shortlisted candidates will be invited for an interview and asked to present a brief product concept or a 5-slide summary of a machine learning product case.
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