Sales Manager, Business Development Associate

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.

Location: Indore (Onsite)

Experience: 1 - 3 years

Type: Full-time

Role Overview

As an Animator at MotionGility, your primary focus will be bringing static designs to life using clean, smooth, and modern motion graphics. This role is dedicated to animation—designing assets from scratch is not required.

Key Responsibilities

• Animate videos using After Effects (2D, motion graphics, typography, infographics).
• Interpret storyboards and design files to convert them into polished animations.
• Add transitions, motion, timing, effects, SFX, music, and movement to enhance storytelling.
• Collaborate with designers to ensure seamless import and preparation of assets.
• Manage project renders, versions, and AE compositions.
• Maintain consistency and animation quality across all deliverables.
• Implement feedback efficiently and work within tight deadlines.

Requirements

• Strong command over After Effects and Premiere Pro.
• Solid understanding of animation principles: timing, spacing, easing, anticipation, follow-through, etc.
• Ability to animate characters, icons, graphics, typography, and mixed-media elements.
• Experience handling complete AE projects end-to-end.
• Experience in character rigging.
• Ability to create Lottie/UI animations.
• Basic knowledge of Premiere Pro editing.
• Knowledge of 3D tools (optional but good to have).
• 
  

Why Join Us

• Work with a globally recognized creative and marketing team.
• Opportunity to build and scale outreach systems for international clients.
• Growth-focused culture with performance-based rewards.

Key Responsibilities:

• Design, develop, and maintain Java-based applications using best practices and modern frameworks.

• Integrate and manage AWS services such as EC2, S3, RDS, Lambda, and CloudFormation.

• Develop RESTful APIs and microservices architecture to support scalable and robust applications.

• Implement CI/CD pipelines using tools like Jenkins, Git, and Docker to automate deployment processes.

• Monitor and troubleshoot application performance, defect triaging, and reliability issues, providing timely support and resolution.

• Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality software.

• Conduct code reviews and ensure adherence to coding standards and best practices.

• Stay updated with the latest industry trends and AWS services to continuously improve our technology stack.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 5-7 years of experience in Java development, with a strong understanding of object-oriented programming and design patterns.

• Proficiency in AWS services such as EC2, S3, RDS, Lambda, CloudFormation, etc.

• Experience with Spring Boot and other Java frameworks.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with containerization technologies like Docker and Kubernetes.

• Experience with CI/CD tools and processes.

• Excellent problem-solving skills and the ability to work independently and as part of a team.

• Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders.

Location :Coimbatore

Key Responsibilities:

✅ Develop and maintain strong client relationships

✅ Understand client needs and provide tailored solutions

✅ Act as a point of contact for client inquiries and feedback

✅ Collaborate with internal teams to ensure client success

✅ Drive client engagement and retention strategies

What We’re Looking For:

🔹 Proven experience in client relationship management or a similar role

🔹 Freshers can also apply

🔹 Hindi Speaking is must.

🔹 Excellent communication and interpersonal skills

🔹 Strong problem-solving abilities

🔹 A proactive approach and a passion for client satisfaction

🔹 Ability to work collaboratively in a fast-paced environment

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

• Develop and implement HR strategies and initiatives aligned with the overall business strategy
• Bridge management and employee relations by addressing demands, grievances or other issues
• Manage the recruitment and selection process
• Support current and future business needs through the development, engagement, motivation and preservation of human capital
• Develop and monitor overall HR strategies, systems, tactics and procedures across the organization
• Nurture a positive working environment
• Oversee and manage a performance appraisal system that drives high performance
• Maintain pay plan and benefits program
• Assess training needs to apply and monitor training programs
• Report to management and provide decision support through HR metrics
• Ensure legal compliance throughout human resource management

• Proven working experience as HR manager or other HR executive
• People-oriented and results-driven
• Demonstrable experience with human resources metrics
• Knowledge of HR systems and databases
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation, and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company
• Three to five years’ experience in HR Role
• In-depth knowledge of labour law and HR best practices
• Degree in Human Resources or related field.
• For more info dial : nine one zero one four double three eight one two.

We are looking for an experienced Senior Software Engineer (Integrations) to contribute to PriceLabs' ambitious plans. We have an existing product that's being used by thousands of customers worldwide and are looking to upgrade our design and launch new features that will serve customers worldwide.

What you will learn at PriceLabs:

Scaling:

• We currently exchange tens of millions of prices between us and our partners multiple times every day! As we continue to grow, designing our architecture to keep working seamlessly is going to need a lot of teamwork 
• Doubling in size every year brings unique scaling challenges. Our product started with one single server doing everything needed, but over time we've created a fairly distributed architecture of micro-services. Ensuring our systems continue to provide the same level of service with twice the number of customers next year teaches us (and you!) forward thinking!

Fundamentals:

• We have a very strong emphasis on fundamentals - writing code in strict memory requirements, setting up a server from scratch, being able to use open source services (like nginx, mysql, linux servers, redis, rabbitmq) to get the best performance out sets our team up for long term success.
• Implementing to the standards of operating systems, working in a thread safe/unsafe environment.
• Understand how servers interact with each other in a data center. How does nginx and unicorn power the communication for our APIs.

Customer-centric engineering:

• Making a product that needs to work for both single home-owners as well as enterprise customers to property management businesses - we're on a journey towards design and process thinking to ensure systems are easy to use. Expect strong collaboration with customer facing, design and data science teams!

New products:

• We have a lot of ground level infrastructure available for us to build new products for both our customers and our industry partners to use. Architecting these systems from scratch is a joy in itself (our team has done this a few times!)

Amazing team:

• Our engineering team is very focused on getting things done, and getting them done the right way so the last long! Write better code everyday, solving customer and co-worker pain points, and learning from our peers is what keeps us going!

Responsibilities:

• You will work with Ruby, we are a RoR platform so understanding how ruby interacts with database would be ideal but not preferred.
• Build new integrations with property management systems (PMS) and also maintain existing ones.
• Understand nuances of downstream systems and design and architect your solution keeping in mind third party systems
• Talk to existing PMS and understand what new features can be incorporated and what existing features need to be updated.
• Fix issues that break and keep a track of daily status and understand inefficiencies.
• Engage with PMS partners and optimise the existing pipeline.
• Continuous improvement to our web stack, set standards, automate mundane tasks

Requirements:

• 4+ years experience in back end web development and understanding Ruby would be great but not mandatory.
• You should be comfortable working with git, visual studio code(or any IDE that you prefer) and test your own code thoroughly before making a PR.
• Ability to architect and develop systems so it can connect seamlessly with PMS and third party systems.
• Ability to understand Message queues and how a pub-sub system works with multiple servers
• Experience in building distributed systems that integrate with RESTful APIs and SOAP XMLs.