Job Summary: The senior Product Manager holds the responsibility for designing, developing, and overseeing activities related to a specific product or a group of products. This oversight encompasses everything from defining the product and planning its development to production and go-to-market strategies. Additionally, the Product Manager is tasked with crafting the product roadmap necessary to achieve bookings, client NPS, and gross margin targets associated with their component . To facilitate organic growth, the product manager collaborates with internal stakeholders, clients, and prospects to identify new product capability requirements. They Responsibilities: Team Span : responsibl e for handling a team of 20-50 Developers. Prioritizes decisions across products. Establishes alignment on the product roadmap among multiple development teams. Exerts influence on shaping the company's roadmap. Efficiently leads the development of cross-product capabilities. Contributes to the formulation of the department's development and training plan. Advocates for a culture of communication throughout the organization. Is recognized as an industry expert and frequently represents CW on industry forum panels. Proficiently evaluates opportunities in uncharted territory. Independently identifies , assesses, and potentially manages partnership relationships with external parties. Delivers leadership and expertise to our continually expanding workforce. Required Skills: Proven track record as a Product Manager (Ideal but not vital) that owns all aspects of a successful product throughout its lifecycle in a B2B environment . Knowledge of investments and investment accounting (Very important) . Exemplary interpersonal, communication, and project management skills . Excellent team and relationship building abilities, with both internal and external parties (engineers, business stakeholders, partners, etc.) . Ability to work well under pressure, multitask, and keen attention to detail . Strong leadership skills, including ability to influence via diplomacy and tact . Experience working with Cloud Platforms (AWS/Azure/GCP). Ability to work with relational and NoSQL databases. Strong computer skills, including proficiency in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. Education and Experience: B achelor's / master's degree in engineering or a related field. 9+ years of relevant experience . Professional experience in building distributed software systems, specializing in big data and NoSQL . database technologies (Hadoop, Spark, DynamoDB, HBase, Hive, Cassandra, Vertica). Experience working with indexing systems such as elastic search, SOLR/Lucene. Experience working with messaging systems such as Kafka/SQS/SNS.

• Own integration roadmap: connectors, metadata sync, governance interop, deployment patterns • Run design partnerships with Snowflake/Databricks customers to validate use cases • Build positioning frameworks and deployment playbooks for sales/customer success teams • Track ecosystem dynamics: architecture, pricing, roadmap trends across Modern Data Stack • Define integration requirements and technical trade-offs with engineering

• Lead the definition, delivery, and improvement of AI service capabilities • Maintain a clear and actionable roadmap for AI Services • Define and prioritize AI Services initiatives • Collaborate with internal product teams as key customers • Translate cross-team AI needs into well-scoped epics and user stories • Lead day-to-day delivery for the AI Services team using Kanban practices

• Translate product vision into clear, actionable roadmaps and delivery plans for Voice AI solutions in the restaurant industry. • Gather and prioritize requirements from customers, internal stakeholders, and market research. • Use data insights, user feedback, and industry trends to identify opportunities and define impactful product features. • Define, scope, and launch features that improve AI accuracy, expand coverage, and enhance operational performance. • Set KPIs and success metrics, monitor performance, and adjust priorities based on data insights. • Rapidly prototype and build proof-of-concepts to validate ideas before full-scale development. • Work with engineering and data science to test and iterate on conversational AI capabilities. • Conduct competitive analysis and stay ahead of trends in LLMs, speech recognition, and conversational AI. • Manage timelines, dependencies, and trade-offs to ensure successful product launches. • Continuously refine the product based on performance metrics and customer feedback. • Take true ownership of the product, and drive to not just implementation but beyond.