Business Development Executive

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: SEBI Registered Investment Advisor (RIA)

Location: Noida

Job Summary

We are seeking a SEBI Registered Investment Advisor (RIA) to provide independent, unbiased financial and investment advice to clients in accordance with SEBI (Investment Advisers) Regulations, 2013. The advisor will assess client financial goals, risk tolerance, and investment horizon to develop personalized investment strategies while ensuring full regulatory compliance.

Key Responsibilities

·Provide independent and client-centric investment advice across asset classes such as equities, mutual funds, bonds, ETFs, and alternative investments.

·Conduct financial planning and portfolio analysis based on clients’ financial goals, income, liabilities, and risk appetite.

·Develop and implement investment strategies and asset allocation plans.

·Ensure full compliance with SEBI (Investment Advisers) Regulations and Code of Conduct.

·Maintain detailed client risk profiling and suitability assessments.

·      Prepare and deliver portfolio performance reports and periodic reviews

·Stay updated on market trends, economic developments, and regulatory changes.

·Maintain proper documentation, records, and disclosures as required by SEBI.

·Educate clients on investment risks, diversification, and long-term financial planning.

·Avoid conflicts of interest and maintain complete transparency in advisory services.

Required Qualifications

· SEBI Registered Investment Advisor certification or eligibility for RIA registration.

·Certification from NISM Series X-A and X-B (Investment Adviser Level 1 & Level 2) or equivalent recognized qualification.

·Bachelor’s or master’s degree in finance, economics, business administration, commerce, or a related field.

Experience

·Minimum 5-8 years of experience in financial advisory, wealth management, or investment research.

Regards,

Radhika Sharma

HR Manager

Estabizz Fintech private limited

• Develop strategies that drive customers to the website
• Metrics Tracking & measure ROI.
• Use advanced metrics to measure the success of a marketing campaign
• Identify trends and insights, and optimize spend and performance based on the insights
• Brainstorm new and creative growth strategies
• Collaborate with internal teams to create landing pages and optimize user experience
• Up-to-date with the latest trends and best practices in online marketing and measurement
• Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform, and motivate
• The candidate would need to be well versed with different types of organic as well as paid marketing
• Completes digital marketing department operational requirements by scheduling and assigning employees and following up on work results.

Customer Happiness is one of our key differentiators. In this role you will be the customer champion for Exotel, thrive to create great customer experience while responding to customer inquiries, resolving their queries and ensure all the agreed SLA’s are met consistently. In this role, you will be working with internal and external stakeholders with high level of ownership on your deliverables with customer first approach.

Exotel is one of Southeast Asia’s largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best in class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, Redbus, Flipkart, Quikr, Practo,Lazada, Redmart, to name a few.

We are a young company with humble beginnings in 2011 that grew  from a 3 member team to 150+ employees in 2018. Our technology has connected 85 million people, powered 1.2 billion customer calls, powered 3.2 billion voice API calls, 3.2 billion business SMS powered. Read our 2018 growth story https://2018.exotel.com/">here.

• You enjoy customer interactions and solving problems on behalf of our customers is something that you are passionate about.
• You enjoy resolving customer issues and providing feasible solutions.
• You have dual qualities of time management, patience and ability to speak to customers with confidence and conviction.
• You consistently thrive for excellence.

• You will be the voice of the Enterprise customer sand help customers with issues related to the platform. You will be responsible for addressing and resolving tickets from enterprise customers while adhering to SLAs.
• You will document customer pain points to help in process improvement. You will also surface customer feedback to product and engineering teams to drive improvements in the product.
• You will explore customer data to identify trends with the objective of issue resolution.
• You will resolve customer issues through process expertise without having to escalate to higher levels of management but also understands when higher level of authorization is required.
• You will effectively interact, collaborate and network with other departments to resolve customer issues, including account management, technical support, product and engineering teams.
• You will be working in different shifts so as to ensure the client issues are addressed on time.

• 2-5 years of experience in 24x7 customer support operations.
• You have experience in B2B Software support and understanding of Saas platforms
• You have excellent communication skills, ability to identify complex customer problems.
• You possess a sense of urgency for problem resolution and knows where to go for that resolution.
• You have the eagerness for learning and staying up-to-date on new product or policy changes.
• Start-up experience would be a plus.
• You should have working knowledge about APIs and ticket management tools (such as Freshdesk, Postman, Grafana…) will be a plus or a learning mindset.

Technical specifications/Skill Set:

• Minimum of 5+ years of significant experience in application development.
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test- driven development
• Knowledge of system architecture, object-oriented design, and design patterns.
• Required technical skills: Strong Core Java, J2EE, Spring boot, Akka, API development & distributed application development experience.
• Desirable technical skills: Micro-services pattern, Kafka, Knative Eventing, Camel-K, Container Technologies like Docker, Kubernetes, NoSql preferably Cassandra.
• Experience working with high volume data and computationally intensive system.
• Domain knowledge in Financial Industry and Capital Markets is a plus.
• Excellent communication skills are essential, with strong verbal and writing proficiencies.

About the Company

The Company is committed to providing tech-enabled solutions which aim to improve store sales and profitability for India’Corner storesres.It has product lines in distribution,staffing, logistics and distribution Technology.

Job Designation: Software Developer-Android

Job Location: Bangalore

Responsibilities- Understand and identify requirements

                               UI/UX Design

                               Coding

                               Unit Tests

                               Documentation

Qualifications : B.E (CS) or MCA

Technical skills (necessary to have): Native Android, React Native

Technical skills (good to have): good understanding of UI/UX, DSA, backend capabilities, RDBMS, php, python, Java


Regards
Team Merito