Product Manager

Company Description

Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.

From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.

With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.

About the Role

Our client is hiring a Frontend Engineer in India to build the product surface for the memory platform. The seat is for an engineer with 7-10 years of experience who has internalized AI-native engineering: building with Claude Code, Codex, Cursor, Windsurf, or comparable tools as a core part of how they ship.

This role is intended for an experienced engineer with 7–10 years of Frontend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.

The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.

Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.

What You'll Own

• Build and scale the frontend product surface that customers interact with
• Ship features end-to-end, designing and debugging with AI coding tools as part of the core workflow
• Own component architecture, design system, and UX quality across the product
• Collaborate with the backend team on API design and data layer integration
• Contribute to the product roadmap based on customer feedback

Requirements

Must-Have

• 7-10 years of frontend engineering experience
• Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
• Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
• Strong React and TypeScript fundamentals
• Strong UI/UX engineering sensibility, ships polished customer-facing surfaces
• Comfort owning frontend systems end-to-end in production
• Based in India, remote work from anywhere in the country

Nice-to-Have

• Prior AI infrastructure, developer tools, or dashboard product UI experience
• Design engineering range or strong design taste
• Open-source contributions in frontend frameworks or developer tools
• Public technical writing or conference talks on AI-native frontend engineering
• Experience with modern frontend tooling (Next.js, Tailwind, shadcn/ui, Vercel)

Experience / Education

• 12–15 years in mainframe infrastructure/architecture roles, including decommissioning and dismantling projects.
• Proven record of leading IT service transitions across geographies.
• Bachelor’s/master’s in computer science, Engineering, or related field.
• Certifications: ITIL Expert, IBM z/OS, or cloud/hybrid architecture certifications highly desirable.

Key Responsibilities

1. Platform Ownership & Optimization

• Own the design, optimization, and lifecycle management of the mainframe infrastructure.
• Evaluate and optimize mainframe capacity (MSU) and LPAR workloads, ensuring balance between performance and cost.
• Oversee datacenter operations, monitoring strategies, middleware (MQ, File Transfer like CFT), firewall/security clearance, and release management.
• Ensure full documentation of designs, optimizations, and lifecycle activities for audit and compliance.

2. Cross-Stakeholder Collaboration

• Work closely with stakeholders across locations and India, aligning infrastructure with business and IT objectives.
• Collaborate with application owners, operations teams, and project leaders to provide ongoing technical support.
• Act as the primary liaison with Vendors, IBM and other solution providers, driving technical synergies.
• Lead joint technical discussions with Vendors, ensuring solution alignment with transformation and exit strategies.

3. Technical Transformation & Insourcing

• Lead the transition of mainframe responsibilities from other locations to India, ensuring smooth handover and knowledge transfer.
• Build and mentor an India-based managed services team, progressively taking over steady-state operations.
• Develop a structured roadmap for insourcing and governance alignment, balancing compliance, cost, and performance.
• Provide regular technical assistance to project teams, ensuring infrastructure readiness and support.

4. KPI Ownership & Reporting

• Define, monitor, and report technical KPIs (capacity, performance, availability, incident management, and cost optimization).
• Deliver regular KPI dashboards and reports to senior management.
• Enforce KPI adherence across both internal teams and external vendors, driving corrective actions where required.

5. Decommissioning & Dismantling

• Lead the end-to-end decommissioning of mainframe components across software, middleware, and hardware.
• Manage license offboarding and termination (e.g., IDMS, CA/Broadcom), ensuring no residual dependencies remain.
• Oversee datacenter hardware dismantling and disposal, ensuring compliance with security and regulatory requirements.
• Collaborate with security and governance teams to revoke access, certificates, and data securely.
• Create detailed decommissioning playbooks, closure documentation, and audit-ready reports.

6. Housekeeping & Lifecycle Management

• Own and manage all housekeeping activities end-to-end (storage cleanup, archival, job scheduling, patching, log retention, etc.).
• Standardize housekeeping routines into clear runbooks, automating where possible.
• Ensure lifecycle management of mainframe systems, from capacity planning to decommissioning.
• Report housekeeping outcomes and ensure alignment with compliance and audit needs.

7. Knowledge Continuity & Documentation

• Take full ownership of knowledge transfer from existing responsible teams, leaving no knowledge gaps.
• Establish a structured knowledge base capturing infrastructure, decommissioning, and housekeeping processes.
• Regularly update documentation to reflect system changes, exit milestones, and best practices.

Skills & Competencies

• Deep expertise in mainframe optimization (MSU, LPAR), datacenter operations, and middleware integration.
• Hands-on experience in mainframe decommissioning, dismantling, and license termination.
• Strong understanding of housekeeping routines and lifecycle management in mainframe environments.
• Proven ability to lead cross-country transitions (Other locations to India) and multi-vendor ecosystems.
• Strong vendor and partner collaboration skills.
• Strategic mindset to balance stability, compliance, cost optimization, and modernization.
• Excellent communication, documentation, and executive reporting capabilities.
• Leadership in building, mentoring, and scaling technical teams in a managed services model.

Position: Manager/Head- Data Scientist/Machine Learning Engineer

• Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
• AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
• Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
• Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
• Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.

Qualifications and Experience:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
• 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
• Proven track record of successful implementation of AI/ML models with tangible business impact.
• Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with image data, including feature extraction, object detection, and classification.
• Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.

Exp-10 Years

Location Mumbai

Ready to work from Office

Permanent role

Role

Business Analytics/Data Analytics Lead

• Enable Business Transformation with Data Analytics by working with our big clients in major sectors such as Oil & Gas, Manufacturing, Retail, BFSI
• Partner business teams to understand the business area, work with the team to evolve and define the business problems, use-cases, translate the same into an analytical problem, design solution approach, define ROI, help execute to deliver relevant insights that lead to actions and business value.
• Connect business requirements with Technology solutions and be able to determine feasibility, technical gaps, size etc.
• Be able to define a project plan for the identified solutions, help hire and train technical resources, be the glue between Business team and the technical/implementation team
• Be proficient at solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to build solutions and/or creative approaches to solve ‘one of a kind’ problems.
• Embed tested solutions to make them business as usual and help quantify value benefits from analytics.
• Be creative and a committed problem-solver using Data and Advanced analytics skill alongside leadership and direct engagement of business leaders.
• Be a trusted advisor to the client CxOs/leadership team in evangelising the use of Data & Data Science in business decisions. Help accelerate the organisation journey to become data driven.
• Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects
• Work with development and testing teams to deliver solutions and support UAT
• Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.

Qualifications

• 10+ years experience in technology/project management/product management/solution delivery
• 4+ years of relevant work experience in roles partnering in Data Analytics related use-cases and solutions resulting in significant cost, productivity and/or quality gains for the business
• Bachelors degree in a relevant technical field (Computer Science, IT, Statistics, Business Analytics or similar). MBA preferred

·       Experience of specifying and writing business requirements and suggesting appropriate solutions in the field of Data Analytics/AI

• Prior industry experience in defining/creating Data Analytics solutions  in one or more of Oil & Gas, BFSI, Manufacturing, Retail sectors.
• Strong preference for experience in setting up & managing analytics / data products / platforms & leading change management.
• Be able to articulate and have a keen eye on the value that Data Analytics, AI, Machine Learning, Data Lake/Catalogue can bring to organizations
• Ability to communicate complex quantitative insights in a precise, and actionable manner
• Strong communication skills and ability to work with peers & senior stakeholders demonstrating strong vertical and lateral influence.
• Working knowledge of Analytics tools such as PowerBI, Tableau, AI modelling such as Regression, Classification, and Time Series Problems.
• Experience building insights from analytics & telling data stories
• Passion for empirical research and for answering hard questions with data

Assist in the recruitment process, including sourcing candidates, scheduling interviews, and conducting background checks.

Support the onboarding process for new hires, ensuring a smooth and seamless transition into the organization.

Maintain accurate and up-to-date HR records, including employee files, attendance records, and employee data.

Collaborate with the HR team to develop and implement HR policies and procedures.

Participate in HR projects, such as employee engagement initiatives, training programs, and performance management.

Conduct research and analysis on HR trends and best practices, and provide recommendations to the HR team.

Provide administrative support to the HR team, including scheduling meetings, preparing reports, and coordinating events.

Ensure compliance with all relevant HR laws and regulations.

Requirements:

Currently pursuing a degree in Human Resources, Business Administration, or a related field.

Excellent communication and interpersonal skills.

Strong organizational and time management skills.

Proficiency in Microsoft Office, particularly Excel and Word.

Ability to work independently and as part of a team.

Strong attention to detail and ability to handle confidential information with discretion.

Familiarity with HR principles and practices.

Previous internship or work experience in HR is a plus.

Company Introduction :

My Next Developer is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand.

We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold.

Job Responsibilities

- Ensure security in the development activities.

- Implement risk management techniques and threat modeling.

- Implement infrastructure automation, monitoring and alerts as part of ISO 27001 and SOC 2 certifications.

- Collaborate with internal teams to produce the best security solutions

Minimum requirements :

- Bachelor's/Master's degree in degree in computer science, cybersecurity, engineering, or equivalent degree.

- 3+ years of experience as a DevSecOps engineer.

- Proficiency in back-end technologies such as NodeJs or Python.

- Expertise in using DevOps tools like GitHub, dependency management, and CI/CD.

- Profound knowledge of AWS cloud, DevOps culture and automation tools.

- Fluent in both spoken and written English communication.

- Ability to work full-time (40 hours/week) with a 2-3 hour overlap with European time zone.

- Stay up-to-date on cybersecurity threats and follow the best practices.

- Previous project experience related to ISO 27001 and SOC 2 certifications.

• Connecting with a minimum of 80 working professionals (prospective students) each day from the leads/database present on lead-squared CRM
• Generating a pool of prospects by identifying the need for upskilling depending on the student’s area of interest
• Helping prospective students with detailed information about the programs offered through phone or video counseling & create a strong pipeline
• Ensure to meet daily deliverables & achieve weekly/monthly enrolment target.

Angular Developer

Key Responsibilities:

Responsible for coding the execution of complex designs and interactions that reflect the creative and art direction provided within the established technical framework

Responsible for creation of all coded UI deliverables

Able to shift between a creative and a technical focus depending on the project need and/or the type of project

Establishes presentation layer requirements

May need to rapidly produce interim deliverables (such as style guide components, technical specifications, browser and market analysis, prototypes, proofs of concept, etc.) in addition to the final live application

Participates in scoping and planning work

Participates in writing detailed technical and functional specifications documentation

Able to take initiative to research and learn emerging technologies

Required Skills:

Expertise in angular 4+ & above is highly preferable

Hands-on experience in Typescript, JavaScript, visualization libraries like D3

Experience in consuming REST services and implementing dynamic UIs.

Understanding of design patterns commonly used in large-scale web applications.

Experience in building high-performing and maintainable web applications.

Understanding of CI/CD will be preferred.

Knowledge of CSS pre-processors like SASS.

Proficient understanding of version management tools like SVN, Git.

Education

• Bachelors or master’s degree in Computer Science or related field

Relevant Experience

• 4 to 6 years