Digital Audio Specialist

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.

Job Title: Assistant Manager – Finance & Accounts

Location: Gurgaon

CTC: Up to ₹12 LPA (Fixed – Max)

Experience: 2–3 Years

Education: CA (Qualified) – Mandatory

Industry Preference: E-commerce / Marketplace

Job Summary

We are seeking a detail-oriented Assistant Manager – Finance & Accounts with strong hands-on experience in Accounts Receivable (AR), reconciliations, and month-end closing activities. The ideal candidate should be a qualified CA with exposure to fast-paced E-commerce or Marketplace environments.

Key Responsibilities

• Manage Accounts Receivable (AR) including invoicing, collections, and aging analysis
• Perform bank, customer, and GL reconciliations on a regular basis
• Handle month-end closing activities including journal entries and reporting
• Ensure accurate accounting records and compliance with internal controls
• Support preparation of MIS reports and financial statements
• Coordinate with internal stakeholders for resolution of reconciliation gaps
• Assist in audits and provide required financial documentation
• Drive process improvements for AR and closing cycles

Required Skills & Qualifications

• Qualified Chartered Accountant (CA) – mandatory
• 2–3 years of relevant experience in Finance & Accounts
• Strong exposure to AR, reconciliations, and month-end close
• Prior experience in E-commerce / Marketplace industry preferred
• Good working knowledge of accounting systems and Excel
• Strong analytical, communication, and coordination skills

email address: etalenthire[at]gmail[dot]com

satish: 88O 27 49 743

Accounts Manager

Location: Lower Parel

Responsibilities

1. Their accounting has to be strong

2. Can operate without accounting system

3. Understand tally and GST

4. Can work independently

5. Know to use excel for PnL making

6. Their fundamentals needs to be strong

7. Independently managing the accounts alone

8. Team Handling

Qualification: Bcom,

Exp: 6-7 years of experience,

Budget: 5-8 lpa

Upload CV On - https://magicworksitsolutions.com/digital-marketing-manager/

Job description :

A Digital Marketing Manager is responsible for developing, implementing, and managing marketing campaigns that promote a company’s products or services. 

Experience: 3 to 5 years (3 years of experience in digital marketing required)

Qualification: Any graduate or post graduate or MBA in (Marketing/Sales) or related field with an excellent understanding of Digital Marketing.

Key Responsibilities:

1. Strategy Development and Execution

• Develop Digital Marketing Strategies: Create comprehensive marketing plans to achieve business objectives.

• Campaign Management: Plan, execute, and oversee various marketing campaigns across multiple digital channels such as Google Ads, SEO, PPC, social media, email, and content marketing.

• Budget Management: Allocate and manage the marketing budget effectively to maximize ROI.

2. Content Creation and Optimization

• Content Strategy: Develop content strategies that align with marketing goals and target audience needs.

• Content Creation: Oversee the creation of engaging and relevant content for websites, blogs, social media, and email campaigns.

• SEO Optimization: Ensure all content is optimized for search engines to increase organic traffic.

3. Social Media Management

• Platform Management: Manage the companys presence on social media platforms, including content planning and posting.

• Community Engagement: Engage with followers, respond to comments and messages, and monitor online reviews and feedback.

• Social Media Advertising: Create and manage social media ad campaigns to increase brand awareness and drive conversions.

4. Analytics and Reporting

• Performance Tracking: Monitor and analyse the performance of marketing campaigns using tools like Google Analytics, social media insights, and other analytics software.

• Reporting: Prepare regular reports on campaign performance, website traffic, and other key metrics to share with stakeholders.

• Data-Driven Decisions: Use data insights to make informed decisions and optimize marketing strategies.

5. Collaboration and Coordination

• Team Collaboration: Work closely with the marketing team, including designers, writers, and other specialists, to execute campaigns.

• Cross-Departmental Coordination: Collaborate with sales, product, and other departments to align marketing efforts with overall business goals.

• External Partners: Manage relationships with external vendors, agencies, and partners as needed.

6. Customer Relationship Management (CRM)

• Database Management: Manage and utilize the company’s CRM system to track customer interactions and data.

• Lead Generation and Nurturing: Develop strategies for lead generation and nurturing to convert prospects into customers.

7. Innovation and Trend Monitoring

• Stay Updated: Keep abreast of the latest trends and best practices in digital marketing.

• Experimentation: Test new marketing techniques and strategies to improve campaign effectiveness.

8. Compliance and Ethics

• Regulatory Compliance: Ensure all marketing activities comply with relevant laws and regulations.

• Ethical Practices: Promote ethical marketing practices and maintain the company’s reputation.

Preferred candidate profile

• Must possess strong communication, presentation, and negotiation skills

• Must be familiar with analysing statistics and formulating sales data

• Must be a highly organized, detail-oriented self-starter who is willing to work independently as well as in a team environment

• Knowledge of advertising sales or sales promotions

• Knowledge of online marketing

• Minimum 3 years of experience in digital marketing environment.

• Strong understanding of Google Ads, Google Analytics, SEO, PPC, email marketing, and social media

• Excellent written and verbal communication skills

• Strong analytical and problem-solving skills

• Bachelor’s degree or Master’s degree in marketing, communications, or a related field

About the Role

We are looking for a highly skilled and experienced Full Stack Software Development Engineer to join our team focused on building and enhancing an Agentic AI Framework. You will be instrumental in developing scalable, reliable, and intelligent AI-based systems, contributing across the stack—from front-end interfaces to back-end infrastructure, and cloud deployment pipelines.

This is a dynamic and forward-thinking role, perfect for developers passionate about AI/ML advancements and keen to continuously grow in the evolving landscape of software engineering.

Key Responsibilities

• Design, develop, and maintain scalable and responsive front-end and back-end components of the Agentic AI Framework.
• Implement RESTful and GraphQL APIs for seamless integration across services.
• Optimize performance and ensure high availability across distributed systems.
• Collaborate with cross-functional teams including AI/ML engineers, data scientists, and DevOps.
• Write clean, maintainable, and testable code.
• Contribute to architecture discussions, code reviews, and project planning.
• Keep up-to-date with advancements in AI/ML algorithms, frameworks, and data science practices.
• Act as a primary point of contact for L3/L4 production support, including:

o  Debugging and resolving live issues

o  Delivering hot patches and quick fixes

o  Managing emergency and planned production releases

·      Own and operate the release lifecycle including version control, deployment, rollback strategies, and documentation

• Support deployment, monitoring, and scaling efforts using DevOps and cloud infrastructure.

Required Skills

• Front-end: React.js, TypeScript, HTML5, CSS3, Redux, Tailwind or Material UI
• Back-end: Java, Kotlin, Spring Boot, Node.js
• Databases: PostgreSQL, Redis, MongoDB, MySQL
• Architecture: Microservices, API Gateways, Event-driven architecture
• DevOps (Preferred): Docker, Kubernetes, CI/CD (e.g., Jenkins, GitHub Actions), AWS/GCP/Azure
• Testing: JUnit, Jest, Selenium, Postman
• Strong understanding of design patterns, data structures, and algorithms
• Familiarity or keen interest in AI/ML, LLMs, data science tools, and workflows

Nice to Have

• Experience with observability tools (Grafana, Prometheus, ELK stack)
• Japanese language proficiency (not mandatory, but a plus)

Who You Are

• A problem-solver with a proactive mindset
• Able to adapt quickly to new technologies and challenges
• Comfortable working in a fast-paced, innovative environment
• Collaborative with excellent communication skills

Perks & Benefits

• Learning support for AI/ML upskilling
• International and diverse team culture

Work on cutting-edge AI-driven products

Job description :

We are looking to hire a talented iOS developer to design, build, and maintain the next generation of iOS applications.

Responsibilities :

• Designing and building mobile applications for Apple’s iOS platform.
• Collaborating with the design team to define app features.
• Ensuring quality and performance of the application to specifications.
• Identifying potential problems and resolving application bottlenecks.
• Fixing application bugs before the final release.
• Publishing application on App Store.
• Maintaining the code and atomization of the application.
• Designing and implementing application updates.

Skills :

• Proven experience as an app developer.
• Proficient in Objective-C, Swift, and Cocoa Touch.
• Extensive experience with iOS Frameworks such as Core Data and Core Animation.
• Knowledge of iOS back-end services.
• Knowledge of Apple’s design principles and application interface guidelines.
• Proficient in code versioning tools including Mercurial, Git, and SVN.
• Knowledge of C-based libraries.
• Familiarity with push notifications, APIs, and cloud messaging.
• Experience with continuous integration.

Job type : Full time

Schedule : Day shift

Education : Graduation (Required)

Experience : 2 Years (Required)

Perks:

• 5 days Working & Alternate Saturday half day
• Salary no bar for right candidates
• Monthly Celebration
• Excellent Work Environment
• Supportive Staff

Work Remotely: No

Location : Surat, Gujarat.

Experience: 2 to 8 Years

Job Description

• Technical Skills requirement : JAVA, Multithreading, OOPS, Data Structure, Karaf.
• Total experience required should be around 2 to 8 years.

Job Description :

- Strong development skills in Java JDK 1.7 or above.

- Knowledge of Java 8 features and Multithreading is a must-have.

- Should have a strong acumen in Data Structures, Algorithms, problem-solving and LogicalAnalytical skills.

- Thorough understanding of OOPS concepts, Design principles and implementation of different type of Design patterns.

- Sound understanding of concepts like Exceptional handling, SerializationDeserialization and Immutability concepts, etc.

- Experience with Multithreading, Concurrent Package and Concurrent APIs Basic understanding of Java Memory Management (JMM) including garbage collections concepts.

- Experience in RDBMS or NO SQL databases and writing SQL queries (Joins, group by, aggregate functions, etc.)

Company Profile and Job Description  

About us:  

AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries.  

For more details visit: www.athenasowl.tv   

Responsibilities:   

• Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports
• Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership
• Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale

The ideal candidate should have:   

• Strong programming skills in any one or more programming languages like Python and C/C++
• Sound fundamentals of data structures, algorithms and object-oriented programming
• Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc.
• Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.)
• Ability to quickly learn and communicate the latest findings in AI research
• Creative thinking for leveraging machine learning to build end-to-end intelligent software systems
• A pleasantly forceful personality and charismatic communication style
• Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”