About The Team Ada’s product management team builds technology and AI products that empower our enterprise customers to transform their business. This role will require the product leader to work with business teams and brands to be able to solve effectively through innovative tech solutions for brands marketing needs. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. Key Responsibilities Market & Customer Understanding: Understand the landscape and needs of enterprises & Organizations on Ada platform through brand interviews, user research, competition analysis and other quantitative/qualitative techniques. Product Vision & Strategy: Define a compelling product vision & strategy for Ada products, and influence other functional leaders/teams to achieve outcomes Problem Identification & Prioritization: Adopt a structured approach to identify what problems need to be solved and break them down into smaller chunks. Prioritize what problems need to be solved now vs. later. Product Roadmap & Delivery: Be able to define a clear product roadmap with detailed product requirements and work collaboratively with a cross-functional team (design, engg. business, analytics, etc.) to bring a product to life. Go-to-Market Planning: Collaborate on go-to-market plan working with stakeholders to maximize product adoption and success. Adoption & Metrics: Define product metrics for Ada suite of products and track them continuously. Identify usage patterns and come up with action plans to move metrics in the right direction. Lead a team product managers and Designers. Qualifications Experience 15+ years of product management experience, with at least 6 years in B2B or related domains. Demonstrated success in leading multiple product teams and managing complex product portfolios. Proven track record of building and scaling AI platforms and having done that on an ecommerce/Conversational AI is a plus. Skills Strong data-driven decision-making skills. Exceptional communication and stakeholder management skills, with the ability to align diverse teams on a common vision. Exceptional problem solving skills based on first principles thinking. Good understanding of technology, and comfort with product management processes such as A/B experimentation, writing product requirement documents, managing product backlogs, and creating roadmaps Hands-on experience working with brands/business/marketing teams. Education MBA or equivalent experience in Product Management. Show more Show less

Job Description: Data Scientist (Intern) Position Overview: As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to provide valuable insights and solve challenging business problems. You will work closely with cross-functional teams to gather data, build predictive models, develop algorithms, and deliver data-driven solutions. This position is ideal for a fresher who possesses strong analytical skills, programming expertise, and a passion for working with data. Key Responsibilities: Data Collection and Preprocessing: Collect, clean, and preprocess large volumes of structured and unstructured data from various sources. Conduct data quality assessments and implement data cleaning techniques to ensure accuracy and reliability. Exploratory Data Analysis (EDA): Perform exploratory data analysis to understand the characteristics of the data and identify patterns, trends, and outliers. Utilize statistical techniques and visualizations to gain insights from the data. Statistical Modeling and Machine Learning: Develop predictive models and algorithms using statistical techniques and machine learning algorithms. Apply regression analysis, classification, clustering, time series analysis, and other relevant methods to solve business problems. Evaluate model performance, fine-tune parameters, and optimize models for better accuracy. Feature Engineering: Identify and engineer relevant features from raw data to enhance model performance. Conduct feature selection techniques to improve model interpretability and efficiency. Model Deployment and Evaluation: Collaborate with software engineers to deploy models into production systems. Monitor model performance, diagnose issues, and implement improvements as needed. Data Visualization and Reporting: Communicate findings and insights effectively through clear and concise data visualizations, reports, and presentations. Present complex data-driven concepts to non-technical stakeholders in a way that is easy to understand. Continuous Learning and Research: Stay up-to-date with the latest advancements in data science, machine learning, and related fields. Conduct research and experimentation to explore new methodologies and approaches. Show more Show less

Quality Assurance (QA) Lead Position Overview We are seeking an experienced Quality Assurance Lead to join our engineering team. The ideal candidate will be responsible for developing and implementing quality assurance processes, leading a team of QA engineers, and ensuring the delivery of high-quality software products. This role combines technical expertise with leadership skills to drive quality initiatives across multiple projects. Key Responsibilities Lead and mentor a team of QA engineers, providing technical guidance and career development support Develop and maintain QA processes, methodologies, and best practices across projects Create and execute comprehensive test strategies, including manual and automated testing approaches Collaborate with development teams to integrate quality assurance throughout the software development lifecycle Establish quality metrics and KPIs to measure and improve testing effectiveness Perform risk assessment and implement mitigation strategies for complex projects Review and approve test plans, test cases, and test results Coordinate with product managers and stakeholders to understand requirements and quality expectations Drive continuous improvement initiatives in testing processes and tools Manage resource allocation and capacity planning for QA activities Technical Skills Test Automation: Cucumber, Playwright and Selenium, or similar frameworks API Testing: Postman, REST Assured, or similar tools Performance Testing: K6, JMeter CI/CD Tools: Jenkins, GitLab CI, or similar Bug Tracking: Jira, Azure DevOps, or similar Programming/Scripting: Python, Java, or JavaScript Knowledge in testing generative AI based applications Database Knowledge: SQL, MongoDB Version Control: Git Soft Skills Excellent communication and interpersonal skills Strategic thinking and problem-solving capabilities Ability to work under pressure and manage multiple priorities Strong analytical and organizational skills Stakeholder management experience Conflict resolution abilities Required Qualifications Bachelor’s degree in computer science, Engineering, or related field 7 to 10 years of software testing experience, with at least 3 years in a lead role Strong experience with test automation frameworks and tools Proficient in test management tools and defect tracking systems Experience with Agile methodologies and CI/CD practices Strong understanding of web technologies, APIs, and mobile applications Experience with performance testing and security testing Proven track record of leading and mentoring QA teams Preferred Qualifications Professional certifications (ISTQB, PMP, or similar) Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of security testing tools and methodologies Background in development or DevOps Show more Show less

As a Backend Developer, you will collaborate with the frontend development team to design and implement RESTful APIs for web and mobile applications. You will be responsible for developing and maintaining event-driven systems using GoLang and other related technologies. Your role will involve implementing security measures such as authentication and authorization mechanisms to protect backend systems and APIs. Furthermore, you will optimize the performance of backend systems through profiling, load testing, and tuning. You will also be tasked with implementing message queues and asynchronous processing using tools such as RabbitMQ or Kafka, as well as implementing caching mechanisms to improve performance and reduce database load. Collaboration with DevOps teams to automate the deployment, monitoring, and scaling of backend systems and microservices will also be part of your responsibilities. In addition, you will develop and maintain documentation for backend systems and APIs, staying up-to-date with emerging technologies and best practices in GoLang development and related areas such as containerization, serverless computing, and machine learning. Providing mentorship and guidance to junior developers in the team, implementing secure coding practices, and performing code reviews to identify and address potential security vulnerabilities are also key aspects of your role. You will work closely with security teams to identify and mitigate security risks in the backend systems and APIs, implementing encryption and hashing mechanisms to protect sensitive data in transit and at rest. Ensuring that backend systems and APIs comply with relevant security standards and regulations such as PCI-DSS, developing and maintaining threat models and risk assessments, implementing rate limiting and throttling mechanisms to prevent denial-of-service attacks and brute-force attacks are crucial for this position. Moreover, you will conduct regular security testing such as penetration testing and vulnerability scanning to identify and remediate security issues, monitor and analyze system logs and audit trails to detect and respond to security incidents in a timely manner. Developing and maintaining disaster recovery and business continuity plans for backend systems and APIs in case of security incidents or disasters, as well as providing security training and awareness to other team members to improve the overall security posture of the organization, are also part of your responsibilities. Requirements: - 6+ years of experience in GoLang development - Strong understanding of software design principles and architecture patterns - Experience with distributed systems and microservices architecture - Proficiency in writing unit and integration tests for Go code - Experience with Git and other version control systems - Strong problem-solving and analytical skills - Excellent communication and collaboration abilities,

As a Pre-Sales Lead, you will play a crucial role in defining and driving the pre-sales roadmap to support growth objectives and industry focus areas like Telecom, Retail, Healthcare, and Manufacturing. Your responsibilities will include collaborating with delivery and sales teams to design impactful solutions for data platforms, analytics, AI/ML, CDPs, and cloud migrations. Your expertise in data science, analytics methodologies, AI/ML applications, and BI tools will be essential in translating complex client business problems into technical solutions. Working closely with the Practice team, you will gather requirements and design customized solutions tailored to meet specific client needs. You will be responsible for developing detailed proposals, conducting industry and market research, and leading the RFI/RFP response process. Additionally, you will engage with clients in key meetings to present solutions, run discovery workshops, and conduct product/service demos. As a leader, you will build and mentor a high-performing pre-sales team, establish playbooks, and best practices. Collaboration with cross-functional teams such as Product, Delivery, Marketing, and Partnerships will be crucial to ensure scalable solutions. You will also stay updated on industry trends in AI, data engineering, cloud, and digital transformation to maintain competitive offerings. To be successful in this role, you should possess a Bachelor's degree in computer science, Information Technology, Business, or a related field, along with 8-12 years of experience in Pre-Sales, Solutioning, or Consulting roles in SaaS or Data/AI firms. Deep understanding of data and analytics ecosystems, strong leadership skills, proficiency in stakeholder and project management, and excellent communication and presentation abilities are required. A willingness to travel, self-motivation, and the ability to build strong relationships with clients and internal teams are also essential. If you have experience in building and scaling pre-sales or solutioning teams, familiarity with industry verticals like Telecom, CPG, BFSI, or Healthcare, and expertise in tools and technologies, it will be considered advantageous for this role.,

As a Pre-Sales Leader, your primary responsibility will be to define and drive the pre-sales strategy in alignment with growth objectives and industry focus areas such as Telecom, Retail, Healthcare, and Manufacturing. You will collaborate with the delivery and sales teams to design impactful and technically feasible solutions for data platforms, analytics, AI/ML, CDPs, and cloud migrations. Your role will require advanced knowledge of data science, analytics methodologies, AI/ML applications, and BI tools. You should have expertise in project lifecycles and solution delivery processes, with a proven ability to translate complex client business problems into technical solutions. Working closely with the Practice team, you will gather requirements and design customized solutions tailored to meet specific client needs. It will be essential to liaise with the technical delivery team to ensure proposed solutions are both feasible and aligned with organizational capabilities. Additionally, you will be responsible for developing detailed proposals that include technical specifications and pricing. You will lead the RFI/RFP response process, technical proposals, pricing support, and value articulation. Client engagement will be a key aspect of your role, involving participation in key client meetings, solution presentations, discovery workshops, and product/service demos. Furthermore, you will play a crucial role in sales enablement by creating reusable assets such as pitch decks, case studies, ROI models, and solution accelerators for the Go-to-Market team. Building and mentoring a high-performing pre-sales team, establishing playbooks and best practices, and fostering cross-functional collaboration with Product, Delivery, Marketing, and Partnerships teams will also be part of your responsibilities. To excel in this role, you should possess a Bachelor's degree in computer science, Information Technology, Business, or a related field, with an MBA degree from a top-tier institution. You should have 8-12 years of experience in Pre-Sales, Solutioning, or Consulting roles in SaaS or Data/AI firms. Deep understanding of data and analytics ecosystems, cloud data platforms (AWS, Azure, GCP), data engineering, BI tools (Power BI, Tableau), and AI/ML solutioning is essential. Strong leadership and team management skills, advanced proficiency in stakeholder and project management, and excellent communication and presentation skills are prerequisites for this role. You should be self-motivated, able to work independently and as part of a team, and willing to travel as needed to meet clients and attend events. Experience in building and scaling pre-sales or solutioning teams, as well as familiarity with industry verticals like Telecom, CPG, BFSI, or Healthcare, will be advantageous for this position.,