About Clear Demand: Clear Demand is the leader in AI-driven price and promotion optimization for retailers. Our platform transforms pricing from a challenge to a competitive advantage, helping retailers make smarter, data-backed decisions across the entire pricing lifecycle. By integrating competitive intelligence, pricing rules, and demand modelling, we enable retailers to maximize profit, drive growth, and enhance customer loyalty — all while maintaining pricing compliance and brand integrity. With Clear Demand, retailers stay ahead of the market, automate complex pricing decisions, and unlock new opportunities for growth.
Job Summary:
We’re looking for a Technical Program Manager who will play a pivotal role in driving projects and opportunities that are business-critical and global in scope. This role requires an individual who can define scalable processes and frameworks, has hands-on project/program management skills, possesses deep technical expertise, and demonstrates strong analytical capabilities. You will partner with the engineering manager of the data collection team to build a robust roadmap and execute against ambitious goals. You will work with Customer Success team to assimilate voice of the customers into the roadmap and drive prioritization. You will have to manage scope, resource and timelines, use the power of tech to effectively to drive the right positive outcome.
The ideal candidate is a strategic thinker, capable of managing complex projects from conception through production launch. You will gather business and technical requirements, write detailed specifications, drive project schedules, and set project management standards across the team. Your insights will be crucial in steering data collection strategies, optimizing operational efficiencies, and influencing data-driven decision-making across the organization.
Key Responsibilities:
Collaborate with engineering, operations, customer success and program teams to define and execute the data collection roadmap, aligning with business objectives.
Drive cross-functional projects that enhance the operational effectiveness of data collection efforts and identify new business opportunities.
Develop and implement scalable processes for data extraction, processing, and quality assurance, ensuring data integrity across the data lifecycle.
Partner with stakeholders to translate business and system requirements into detailed specifications and project plans.
Lead the planning and execution of project goals, tracking progress, manage risks and evolving strategies based on performance metrics.
Cultivate strong customer relationships, manage your stakeholders, influence people and act as an advocate for data collection needs and priorities.
Analyze and present key operational insights to solve complex problems and craft effective, scalable solutions.
Drive continuous improvements by measuring performance, identifying inefficiencies, and implementing data-driven enhancements.
Communicate effectively with all stakeholders about status, risks, execution details.
Qualifications & Experience:
Adept at identifying issues and providing solutions, with the confidence to lead resolution efforts when necessary.
Ability to articulate complex problems and propose well-structured solutions to both technical and non-technical stakeholders.
Effectively balance personal and team workloads to achieve business goals and meet project deadlines.
Empowered to make decisions based on data quality reviews, guiding the team towards optimal outcomes.
Previous experience working in an agile/scrum environment, with the flexibility to adapt to changing priorities.
Strong programming and technical background, with experience in Unix/Linux environments, distributed systems, and large-scale web applications.
Hands-on experience with cloud platforms such as Amazon Web Services (AWS) in managing big data applications.
Deep understanding of the data lifecycle, from data collection and processing to quality assurance and reporting, to support building the team’s roadmap.
First-hand experience working with modern web technologies, data scraping, and processing methodologies.
Familiarity with automation, analytics tools, and processes for results reporting and data validation.