11+ Requirements management Jobs in Mumbai | Requirements management Job openings in Mumbai

Role & Responsibilities:

• Business Development responsible for growing sales on, ETT – Sales, Certification solution, Reskilling Offerings, Persona Based Offering and content Development.
• Identifying, recruiting (MOU) and on-boarding new channel partners (( Lars Vars , Distributors, Learning partners , Hardware OEM’s )
• Create and execute business plans ( joint calendars for certification ) to meet sales goals.
• Working with partner to plan and Execute GTM plans to generate and grow demand (Certification, Certification Add on, Persona Onboarding, Reskilling, Onboarding Add on, ETT)
• Upselling & Cross-selling to partners to achieve higher Sales.
• Analyze market trends and accordingly develop sales plans to increase brand awareness.
• Evaluate partner sales performance and recommend improvements.
• Educate partners about product portfolio and complimentary services offered.
• Address partner related issues, sales conflicts and pricing issues in a timely manner.
• Manage sales pipeline, forecast monthly sales and identify new business
• Deliver customer presentations and attend sales meetings and partner conferences.
• Assist in partner marketing activities such as tradeshows, campaigns and other promotional activities.
• Assist in partner marketing activities such as tradeshows, campaigns and other promotional activities

Ideal Candidate:

• 1+ years of B2B Sales / Channel Sales / Partner Management experience in IT Solutions, Training Solutions, Certification Sales, or Technology Services.
• Must have experience working with channel partners, system integrators, resellers, or strategic alliances
• Must have supported or driven partner-led sales cycles, including requirement alignment, proposal coordination, and deal closure
• Business Planning & GTM Execution):Experience creating joint business plans, certification calendars, GTM strategies, and sales campaigns with partners.
• Must be able to coordinate across partners, internal teams, and end customers effectively.
• Must have a technical or IT-oriented education background —BE / BSc IT / MSc IT is mandatory.

Job Role : Facade Designer ( Junior / Senior / Manager )

Experience : 0 to 15 years ( Mechanical Fresher can also apply)

Location : Navi Mumbai ( Sanpada)

Mandatory Candidate Profile:

• Education: A Bachelor's degree/Diploma in (Civil /Mechanical) Engineering or a closely related technical field is required.
• Technical Knowledge: Proficiency in CAD software is essential, coupled with a strong knowledge of various façade materials and systems. & responsibilities

Preferred candidate profile :

Good Knowledge in AutoCAD / Solidworks / Revit

Job Title: CA Income Tax Litigation Associate

Location: Bandra West, Mumbai

Employment Type: Full-Time

About the Role

We are looking for a qualified and experienced Chartered Accountant (CA) to join on a Full-time basis, primarily focusing on Direct Taxation, Tax Litigation, and Corporate Advisory. The role involves handling complex tax matters, representing clients before authorities, and providing strategic advisory support on corporate and taxation issues.

Key Responsibilities

1. Direct Taxation

• Handle matters related to Income Tax, including computation, return filing, and assessments
• Review tax positions and ensure compliance with applicable laws and regulations
• Advise on tax planning strategies for individuals and corporates
• Stay updated with amendments in tax laws, circulars, and notifications

2. Tax Litigation

• Manage and represent clients in direct tax litigation matters before tax authorities
• Appear in High court for the appeals
• Draft and review appeals, submissions, replies, and legal documents
• Appear before authorities such as:
• Commissioner of Income Tax (Appeals) [CIT(A)]
• Income Tax Appellate Tribunal (ITAT)
• Handle scrutiny assessments, reassessments, and notices
• Develop litigation strategies and maintain case documentation

3. Corporate Advisory

• Provide advisory services on corporate structuring and tax efficiency
• Assist in transaction advisory including mergers, acquisitions, and restructuring
• Offer opinions on tax implications of business decisions
• Support clients in regulatory and compliance-related matters

Required Skills & Competencies

• Strong knowledge of Direct Tax Laws and Litigation Procedures
• Excellent drafting and representation skills
• Analytical thinking with attention to detail
• Ability to handle complex tax matters independently
• Good communication and client-handling skills
• Strong understanding of corporate and regulatory frameworks

Qualifications & Experience

• Qualified Chartered Accountant (CA)
• 4 years of relevant experience in direct taxation and litigation
• Prior experience in handling appearances before tax authorities preferred
• Exposure to corporate advisory and structuring is an advantage

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

**TL;DR:** Seeking an experienced Front-end Developer proficient in React and Next.js to build user-friendly interfaces for Proof of Skill, a blockchain-based protocol for skill verification and credentialing.

Proof of Skill protocol is a decentralized system where industry experts (Validators) evaluate candidates' skills and issue verifiable Skill Credentials. Organizations can then shortlist candidates based on these credentials.

**Qualifications and Skills:**

5+ years of experience in front-end development, with a strong focus on React and Next.js

Proficiency in JavaScript, HTML5, CSS3, and related front-end technologies

Solid understanding of React ecosystem, including Redux, React Router, and React Hooks

Experience with Next.js and its server-side rendering (SSR) and static site generation (SSG) capabilities

Familiarity with modern front-end build tools and workflows (e.g., Webpack, Babel, ESLint)

Knowledge of responsive design and cross-browser compatibility

Experience with RESTful APIs and integration with back-end services

Familiarity with web accessibility standards (WCAG) and best practices

Understanding of blockchain technology and decentralized applications (dApps) is a plus

**Responsibilities:**

Design and develop user-friendly interfaces for the Proof of Skill platform using React and Next.js

Implement reusable and modular front-end components following best practices

Integrate with blockchain-based back-end services and decentralized data sources

Optimize performance, scalability, and security of the front-end applications

Collaborate with the design team to ensure pixel-perfect implementation of UI/UX designs

Write clean, maintainable, and well-documented code

Participate in code reviews and ensure adherence to coding standards

Stay up-to-date with the latest front-end technologies, frameworks, and industry trends

**Ideal Candidate Traits:**

Strong problem-solving and analytical skills

Excellent communication and collaboration abilities

Attention to detail and commitment to writing clean, efficient code

Passion for creating intuitive and engaging user experiences

Entrepreneurial mindset and willingness to take ownership

Curiosity and eagerness to learn and grow in a dynamic environment

Experience building for crypto is a huge plus

Strong Product Designer, with focus on B2C Products

Mandatory (Experience 1): Must have 6+ YOE in Product Design (both UI and UX) with atleast 3+ years in B2C companies

Mandatory (Experience 2): Must have experience building or working with highly scaled Design systems

Mandatory (Skills): Must have strong knowledge and experience of design with Ai tools(Figma Cloud, Chatgpt)

Mandatory (Portfolio): Must have strong product design portfolio of Good B2C Products, with at least 2 detailed case studies

Mandatory (Company): B2C Product companies, B2B experience with prior exposure to B2C is also acceptable (High scaled company, mostly unicorns)

Mandatory (Stability): Must have stayed for a minimum of 2 years with each of the previous companies

Mandatory (Leadership): Must have atleast 2 years of experience leading a team of designers

Mandatory (Note): CV must have portfolio link with at least 2 detailed case study

Preferred

Preferred (Education): Graduate from Tier-1 colleges (IIT, NID, NIFT, BITS etc)

Preferred (Skills 1): Experience in subscription-based or marketplace products, CRO, and international market localization

Preferred (Skills 2): Exposure to AI-powered personalization and recommendation systems

We are seeking a dynamic and detail-oriented HR Recruiter to manage our end-to-end recruitment process. The ideal candidate will have a strong understanding of talent acquisition strategies, excellent interpersonal skills, and the ability to build relationships with both candidates and hiring managers.

Key Responsibilities

• Manage the full recruitment life cycle, from job posting to onboarding.
• Partner with hiring managers to identify staffing needs and develop job descriptions.
• Source potential candidates through online channels (e.g., LinkedIn, job boards, social media).
• Screen resumes, conduct interviews, and assess candidates’ qualifications.
• Coordinate and schedule interviews between candidates and hiring teams.
• Maintain candidate databases and recruitment reports.
• Build a talent pipeline for current and future hiring needs.
• Ensure a positive candidate experience throughout the hiring process.
• Stay updated on industry trends and best recruitment practices.
• Ensure compliance with labor laws and internal policies during recruitment.

Company: IDFC First Bank

About the company:

IDFC FIRST Bank stands out as the new-age bank in India, driven by principles of ethical banking, technological innovation, and societal welfare. With a strong commitment to serving customers ethically, the ‘Near and Dear’ Test, assures that our products meet the standards we'd want for our loved ones. We reject unethical income and simplify our offerings, eliminating fees on various services such as Savings Accounts, Debit Cards and transactions, making us the FIRST and only bank in India to do so. Our approach is customer-centric, with transparent and user-friendly products, levelling up the industry standards.

Role Overview:

Location      : Navi Mumbai

Experience    : 6 to 10 years

Compensation : Upto 27 LPA (Commensurate with Experience)

Key Responsibilities: 

• Banking industry Experience, preferably in Securities Lending Domain (LAS – Loan against securities).
• Solution experience in one of more of the following Lending areas:- Business Process Automation, Credit & Portfolio Analytics, Commercial Loan Product, Loan Servicing and Risk Management.
• Familiar with multiple securities events i.e. Share sale, corporate action, Revaluation, DP & LTV Calculations etc.
• Should be able to play catalyst role between business and IT.
• Good Communication skills with ability to lead domain discussions with BFSI Stakeholders.
• Should be able to provide domain support to development and technical teams on core Securities Lending domain.
• Provide support to business teams in terms of answering questions, clarifying requirements, and resolving issues as they arise during design and development.

Role: Principal Software Engineer

We looking for a passionate Principle Engineer - Analytics to build data products that extract valuable business insights for efficiency and customer experience. This role will require managing, processing and analyzing large amounts of raw information and in scalable databases. This will also involve developing unique data structures and writing algorithms for the entirely new set of products. The candidate will be required to have critical thinking and problem-solving skills. The candidates must be experienced with software development with advanced algorithms and must be able to handle large volume of data. Exposure with statistics and machine learning algorithms is a big plus. The candidate should have some exposure to cloud environment, continuous integration and agile scrum processes.

Responsibilities:

• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule

• Software Development that creates data driven intelligence in the products which deals with Big Data backends

• Exploratory analysis of the data to be able to come up with efficient data structures and algorithms for given requirements

• The system may or may not involve machine learning models and pipelines but will require advanced algorithm development

• Managing, data in large scale data stores (such as NoSQL DBs, time series DBs, Geospatial DBs etc.)

• Creating metrics and evaluation of algorithm for better accuracy and recall

• Ensuring efficient access and usage of data through the means of indexing, clustering etc.

• Collaborate with engineering and product development teams.

Requirements:

• Master’s or Bachelor’s degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school

• OR Master’s degree or higher in Statistics, Mathematics, with hands on background in software development.

• Experience of 8 to 10 year with product development, having done algorithmic work

• 5+ years of experience working with large data sets or do large scale quantitative analysis

• Understanding of SaaS based products and services.

• Strong algorithmic problem-solving skills

• Able to mentor and manage team and take responsibilities of team deadline.

Skill set required:

• In depth Knowledge Python programming languages

• Understanding of software architecture and software design

• Must have fully managed a project with a team

• Having worked with Agile project management practices

• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.)

• Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis

Qualification profile

• Successfully completed studies or training in computer science, focus on software development desirable or comparable qualification
• In-depth knowledge of web technologies: JAVA, HTML5, CSS, Java/TypeScript, and Vue.js, as well as web services/SOA Hibernate and SQL
• In-depth knowledge of React and/or Angular is also an advantage
• Experience with responsive web design and web content management systems
• Fluent in English
• Knowledge of cloud-native development and operation, e.g. B. Docker and Kubernetes advantageous

What we offer you

• Varied, demanding, and interesting field of activity
• Flexible working hours to reconcile work and private life
• Collegial and highly professional team in a modern, international working environment
• Career opportunities here in India or worldwide