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Mosaic is looking for a Senior Executive in Ecommerce. 

Managing efforts across all marketplaces. Revenue numbers across these channels would be your primary KPI. You would also be expected to oversee and manage the operational aspects. 

Responsibilities 

• Define, develop and constantly optimize digital solutions to meet the goals and KPIs by developing and A/B Testing campaign strategies, landing pages & pricing strategies 
• Maintain the online listing sheet for the brand and make updates as products are added,prices are changed etc.
• Audit all online listings on a weekly basis and ensure that changes are made if there areany errors.
• Develop strong relationships with various Ecommerce Portals representatives to help drive sales 
• Keep collecting data for platforms e.g. top selling products, competitor performance,advertising mechanisms etc.
• As the Ecommerce Specialist you will own our objective to ensure our products and assets are created and deployed perfectly across retailer websites such as Amazon, Ocado, Tesco and our products featured on our own Beauty and Personal Care brand websites.
• Coordinate with the Logistics team to ensure proper supply at different warehouses
•  Work with the Design team to help develop best in class advertising creatives

Requirements 

• Lots of drive and comfortable with A/B testing multiple approaches to get the end result 
• Expected to work as an individual contributor 
• Strong interpersonal skills to work with cross functional teams 
• Ability to work under deadlines and manage multiple projects at once & thrive in an unstructured environment 
• Ability to cater product pitch to the specific target audience, and getting the best communication out to drive sales.

We're seeking a detail-oriented and organized Data Entry Executive to join our event company. As a Data Entry executive, you will be responsible for accurately and efficiently entering data related to events, clients, and vendors into our database. 

Key Responsibilities:

1. Data Entry: Accurately and efficiently enter data into our database, including event details, client information, vendor contracts, and other relevant information.

2. Data Management: Maintain accurate and up-to-date records, ensuring data integrity and consistency.

3. Event Coordination: Assist event coordinators with data-related tasks, such as tracking RSVPs, managing attendee lists, and coordinating logistics.

4. Vendor Management: Assist with vendor communication, contract management, and data entry related to vendor contracts.

6. Reporting: Generate reports and provide data insights to support event planning and decision-making.

7. Quality Control: Perform quality control checks to ensure accuracy and completeness of data.

Requirements:

1. Education: High school diploma or equivalent required; associate's or bachelor's degree preferred.

2. Experience: 1-2 years of data entry experience, preferably in an event planning or related industry.

3. Skills:

  - Proficient in Microsoft Office, particularly Excel.

  - Experience with database management software (e.g., Eventbrite, Salesforce).

  Strong attention to detail and organizational skills.

  - Excellent communication and customer service skills.

  - Ability to work in a fast-paced environment and meet deadlines.

4. Physical Demands: Ability to sit for extended periods, typing, and computer work.

5. Exp in SQI / CRM

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.

Requirements / Experience:

• Min 4 Years of Experience
• Experience in cross-platform mobile software development (Android/iOS) using technologies such as React Native, Flutter, GO/ Golang, Xamarin, Blazor, JavaScript, TypeScript, Dart, C#
• Familiarity with API Development (REST, Web API, WCF, SOAP)
• Experience with full-lifecycle design, development, and testing of critical business applications
• Good problem-solving skills with attention to detail
• Strong verbal, written, interpersonal, and organizational skills
• Ability to work independently and in a team environment
• Ability to multi-task effectively
• Reliable, highly motivated, with a positive attitude
• Experience with MsSQL, MariaDB

We are looking for Oracle Apex developer as per below:

• Minimum of 4 years Working experience in Oracle APEX
• SQL Certification
• Strong analytical and problem solving skills with a solid knowledge on system development life-cycle (SDLC) and Agile implementation approach. Candidate should or at least possess experience on the following:
• Business Requirement Document (BRD) review
• Functional Design Document (FSD) design and development
• System and Data migration and mapping
• Test management
• Change management and training
• Project management (i.e. Status reporting, Change Request Management, Issue and Risk management)

Job Description: Hiring for Real Estate Rental Division - AZURO - Sales Manager

* Team Handling Role (Must have previous experience)

* Onboarding customers to the rental properties

* Finding tenants to the owner

* Take Care of property management and services

* Generate leads and fix appointments with customers

* Visit the property and explain about property to the customer, also convince the customer to onboard our property

Qualification - Graduation Must 60% scored

Total Sales Experience - 4 to 5 years

Relevant Experience Compulsory

CTC - Upto 5.00 LPA

Job Location - Multiple (Bangalore, Pune, Gurgaon, Mumbai, Delhi, Hyderabad)

Please contact and share your updated resume on below coordinates.

8 nine 7 one 9 six 8 one 9 one
sarita dot kumari at squareyards dot co dot in

We are looking for experienced and entrepreneurial product leaders with a “co-founder” mindset,to help build and scale a world-class product organization in Bangalore. If you are excited about fintech, zero to one products, working with and learning from a phenomenal team of product,engineering, research, design, operations, and business leaders, this is the role for you.


KEY ACCOUNTABILITIES & RESPONSIBILITIES
- Ideal product manager will be passionate and will deliver an unparalleled customer and user experience
- The product manager would stand for customers and identify key insights from customer research, interviews, surveys etc.
- The product manager will create a strategy and bottom up roadmap with ruthless prioritization to lead an area end to end within the product org
- The product manager will hustle and do whatever it takes to get things done

- Ship fast without sacrificing quality (MVP driven approach); then leverage data and feedback for iterations
- The product manager will own the go to market of the product, will measure the impact of the various products that are launched

- Align key stakeholders on the problem, solution, setting expectation and communicate effectively

- Must be an innovative, strategic thinker and must be able to work in a fast-paced dynamic environment with changing priorities

PROFESSIONAL EXPERIENCE/ QUALIFICATIONS
The ideal candidate profile will be:
- Overall experience of 5+ yrs with at least 3+ yrs in product management in a tech-led company (consumer internet space is preferred)
- Exceptional problem-solving skills based on first principles thinking 

- Have solved complex & ambiguous problem at scale to create significant impact
- Adopt a structured approach to identify what problems need to be solved and break them down into smaller chunks
- Strong analytical and quantitative skills with the ability to use data and metrics to justify requirements, features and drive management of a product.
- Proven ability to deliver first class customer experiences with a deep understanding of UX best practices.
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision.
- Ability to scale a product post launch and drive adoption, track metrics and plan next steps

Job description

CoutLoot is looking for an crazy User Experience & Interface Designer (UI/UX) someone who eats,sleeps and drinks design. One who agrees on the importance and criticality of good design and have good understanding on human behaviour and psychology . He/she will be working very closely with the Core team of the company and the geeky tech team.

Job Responsibilities :-

• Working in coordination with product managers and engineers to develop interactive designs for CoutLoot mobile Apps and website and continuously find ways to enhance his own designs and implementation.
• Lead and evangelize best user-interface design practices, which create exceptional user experience.
• Understand customer behaviour, psychology, business drivers and objectives, and translate them into efficient UI design
• Have an understanding of UX design, user flow, prototypes and wire framing
• Stay abreast with the latest UX design practices for mobile applications.
• Understand material design concepts and have worked on them
• Lead the design process by creating sketches, wire-frames, navigation flow charts, photoshop mockups and interactive prototypes

Experience:-

• 2-4 yrs experience in online product design with at least 2yrs experience in designing interface for mobile products

Note: Please include your portfolio while applying.