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About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Description:

We are looking for a BDM with experience in generating sales and developing new business for our company. This is the perfect opportunity for someone who is excited by the prospect of growing with the company in a friendly environment and having a key role in the process.

Responsibilities:

1. Developing, generating, and growing new business- branding, website, marketing, and creating innovative business plans for clients.

2. Managing both our existing sales pipeline and developing new business opportunities. Identifying opportunities for new business development through following up on leads and conducting research

on target clients.

3. Selling Web and Digital marketing services/solutions including SEO, Google, PPC, social media marketing, B2B marketing, Branding, website development, and other services.

4. Create effective and persuasive proposals.

5. Excellent presentation, pitches, proposal, negotiation, and customer relationship skills.

6. Maintain an active schedule of prospecting calls.

7. Assist in the coordination and implementation of marketing strategies, and delegate tasks that achieve strategic goals

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.

Responsibilities:

● Develop and maintain front-end dependencies/codebase.

● Building responsive and elegant mobile & desktop web applications

● Good to have experience of one or more relevant languages (Python, Ruby, Node.js etc.)

● Work closely with the product manager, designer & development team to collaborate to develop the best in class web applications.

● Optimisation of the website as per industry trends.

● Evaluate competitive and innovative products and design approaches to identify best practices and encourage innovation.

Skills:

● Hands on experience in JavaScript / TypeScript

● Experience in modern web development technologies and techniques, including HTML5, CSS3.

● Experience in any of the frameworks: ReactJs/ Angular / VueJs.

● Experience in translating design mockups and prototypes into frontend applications.

● Experience in effective componentization/abstraction during design translation.

● Experience in effective state management strategies like redux and hooks to scale application better.

● Understands how to optimize the delivery of code and assets (e.g., images, fonts) to a browser or device (e.g.,lazy loading assets, using CDNs caching, compression, etc)

● Understands how to be efficient with resource usage (e.g., application impact on memory and CPU, caches as needed, respectful of customer's device limits etc).

● Good understanding and hands on with PWA (AMP is good to have).

● Good knowledge of version control systems.

● Good understanding of any of the following frontend frameworks, bootstrap, material-UI, semantic-UI.

● Ability to provide deliverables within specified deadlines with a quality bar.

● Excellent communication skills, both written and verbal

● Highly motivated, self-driven, self-learner

● Experience in flutter is good to have.

Job Description:

• Research and write original, well-researched, and informative content for the website and blog.
• Work closely with the marketing team to create content that aligns with the company’s overall marketing strategy.
• Collaborate with the subject matter experts to ensure that all the content is accurate and up-to-date.
• Optimize content for search engines and ensure that it is easily discoverable by users.
• Monitor website analytics to identify areas of improvement and adjust the content strategy accordingly.
• Stay up-to-date with the latest trends and best practices in content creation and SEO.

• Making systems more efficient, more reliable and more secure
• Communicating across internal and external organizations

What you need to have:

• Minimum 12 years of experience
• Experience in IT Infra, IT Ops, Hardware and network connectivity
• Knowledge on VM ware, AWS cloud
• Experience in Monitoring tools
• Working knowledge on Unix /Linux
• Experience in security, network and compliance frameworks
• Hands-on experience with VMware, AWS Cloud/Multi Cloud, infrastructure automation and monitoring tools
• Understanding of security, risk and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems and networking connectivity 

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19,
• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India.
• upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany.
• We were also covered by the Financial Times along with other disruptors in Ed-Tech.
• upGrad is the official education partner for Government of India - Startup India program.
• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning.

• Writing clean, high-quality, high-performance, maintainable code.
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements.
• Coordinate cross-functionally to insure project meets business objectives and compliance standards. 
• Support test and deployment of new products and features.
• Participate in code reviews.

• A highly talented developer with 6-9 years of hands-on experience in building secure and scalable web based applications using Java in backend and JS based frontend frameworks
• Strong knowledge of Java 8+, databases (SQL and NoSQL) , MySql, Mongo
• Experience working with Cassandra, Spring Boot, Apache Spark, Kafka, RabbitMQ is highly desirable.
• Working knowledge of any one or more of AngularJS/ReactJS/VueJS and CSS3, HTML5.
• Strong experience in data modelling for data storage tools in SQL; experience with noSQL is highly desirable.
• Experience building scalable solutions for 2x, 5x and 10x growth with high quality and flexibility.
• Practitioner of test driven development practices. Experience in creating and adhering to best practices for development.
• Experience working with container technologies like Docker and knowledge of CI/CD processes for automated integration and deployment. Basic knowledge of AWS preferred.
• Strong experience in Microservices (SRP) paradigm.
• Willing to learn new technologies (Golang).