Product Manager – Pricing
Role Overview:
As a Product Manage /Sr PM r for Pricing and Strategy, you will own the end-to-end lifecycle of pricing models and strategies for our logistics offerings. A major focus of this role will be on leveraging data science and machine learning (ML) to develop and implement innovative pricing solutions. You will play a pivotal role in optimizing pricing structures, improving profitability, and enhancing our competitive edge in the market.
Key Responsibilities:
Product Management:
- Define the vision, roadmap, and scope for pricing-related products and initiatives.
- Collaborate with data science, engineering, and business teams to build and enhance ML-driven pricing tools.
- Translate business requirements into technical specifications and ensure alignment across stakeholders.
- Drive end-to-end product lifecycle management, including ideation, development, deployment, and iteration.
ML Models & Data Science Integration:
- Work closely with data science teams to design, test, and deploy ML models for pricing optimization, demand forecasting, and cost analysis.
- Prioritize use cases for ML applications, such as:
- Dynamic pricing models based on real-time market and operational data.
- Predictive analytics for demand and supply trends.
- Segmentation models for customer-specific pricing strategies.
- Optimization algorithms for cost reduction and profit maximization.
- Ensure continuous monitoring and refinement of deployed models to maintain accuracy and performance.
Pricing Optimization:
- Leverage ML models to dynamically adjust pricing in response to market fluctuations, operational constraints, and customer behavior.
- Conduct simulations and scenario analyses to test the effectiveness of pricing strategies.
- Identify and mitigate risks in pricing decisions through data-driven insights.
Strategy Development:
- Develop and implement innovative pricing strategies that align with business goals and market conditions.
- Analyze competitive pricing structures and identify opportunities to differentiate SMILE’s offerings.
- Define KPIs to measure the success of pricing initiatives and provide regular updates to stakeholders.
Data-Driven Analytics:
- Build data pipelines and visualization tools to provide actionable insights into pricing performance.
- Collaborate with engineering teams to ensure scalable and reliable data infrastructure for pricing analytics.
Qualifications:
- Education: Bachelor’s or Master’s degree in Business Administration, Data Science, Engineering, or a related field.
- Experience:
- 5+ years of experience in product management, pricing strategy, or analytics roles, preferably in logistics or supply chain.
- Strong background in data science, machine learning, and advanced analytics.
- Technical Skills:
- Proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data analysis tools (e.g., Python, R, SQL).
- Understanding of pricing algorithms, optimization techniques, and statistical modeling.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and data visualization platforms (e.g., Tableau, Power BI).
- Business Acumen:
- Experience in developing pricing models and strategies in complex, multi-stakeholder environments.
- Strong analytical skills with a proven ability to interpret data and derive actionable insights.
Key Competencies:
- Strategic thinking and the ability to prioritize high-impact projects.
- Strong collaboration skills to work effectively with technical and business teams.
- Exceptional problem-solving abilities with a focus on continuous improvement.
- Passion for leveraging advanced technologies to create business value.
Why Join Us?
- Be at the forefront of integrating ML and data science in logistics pricing strategies.
- Shape the pricing function in a rapidly growing 4PL logistics company.
- Collaborate with a high-performing team that values innovation and collaboration.
- Competitive compensation and benefits package.