Business Development Executive

Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

1.Strong Backend Node.js Developer Profile

2.Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3.Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4.Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5.Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6.Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7.Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8.Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9.Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10.Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11.Mandatory (Compensation Alignment) – Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike.

12.Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

13.Mandatory (Note1) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

14.Mandatory (Note2) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

15.Preferred (College) – Tier1 engineering college is a plus plus

16.Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

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.

🔧 Design Engineer (Work From Home)

💰 CTC: ₹22,000/month

📍 Location: Remote (WFH)

🕒 Job Type: Full-Time

Preferred Skills & Qualifications:

• Certification in AutoCAD and/or Tekla Structures.
• Strong understanding of structural design concepts.
• Prior experience in modeling PEB Buildings, Hi-Rise Buildings, Cranes, or Transfer Trolleys is a plus.
• Ability to work independently with minimal supervision.
• Good communication skills and a team-oriented attitude.

📩 Ready to apply?

Send your updated CV and portfolio to 82008 31681

Job Responsibilities Include:

• Generating business through online freelancing portals like UpWork, GURU, Freelancer, etc.
• Candidates should know how to generate business through Social Networking sites like Facebook, LinkedIn etc.
• Must have experience with bidding sites like Upwork, Guru, Lead generator, Calling, Drafting of proposals, Client interaction, Negotiation, also coordinate with technical team.
• Must be able to make proposals and replies to the leads.
• Must understand the running website /application development and must be able to explain those to the clients.
• Must have good Marketing skills, Expert in Social Media, Work individually & within the team.
• Must be able to conduct in depth market research about the clients in the targeted geography.

Skill-Set & Experience:

• Must have Experience with UPWORK, GURU, PPH, FIVER bidding portals.
• Must have expertise on LinkedIn.
• Strong Communication, Presentation Skills.
• Convincing, Negotiation skills.
• Must have knowledge of Lead Generation and closure.
• Must have experience with Client Communication and Team handling.
• Expertise in writing Business Proposals will be a plus point.
• Project Management Skills.

Job Location: Noida (Night Shift)

Education Qualification : BE / B Tech / BCA / MCA / MBA

At least: 2+ years experience Candidate should have prior Sales / BDE / BDM experience in the Software Development Company (Ecommerce & Web)

Job Summary:

As a Performance Marketing Wizard, you will be responsible for sprinkling magic dust on our performance marketing campaigns to make them soar to new heights. You will work closely with our marketing team to conjure up creative ideas that will drive customer acquisition and revenue growth. You'll need to be quick on your feet, with the ability to pull rabbits out of hats (metaphorically speaking, of course).

Key Responsibilities:

• Plan and execute performance marketing campaigns that will make our competitors disappear (okay, not really, but we can dream, right?)
• Wave your wand (figuratively) to optimize campaign performance and improve ROI
• Juggle multiple campaigns at once without dropping any balls (or magic potions)
• Analyze campaign data and use your mystical powers to provide insights that will help us make more informed decisions
• Use your enchanting storytelling skills to captivate our audience and make them fall under our spell (and by spell, we mean buy our products)

Qualifications:

• Must have a degree (or equivalent experience) in marketing or a related field
• Experience with performance marketing campaigns (no prior experience with spells or magic required, but we won't hold it against you if you have it)
• Ability to work well under pressure (in case the Dark Lord decides to attack)
• Strong analytical skills (for divination purposes, naturally)
• A sense of humor (to keep us all entertained during those long hours of potion-making)

SAP CI SF – Cloud Integration.

Analyze, plan, design, develop, and implement the SAP SF solutions to meet strategic, usability, performance, reliability, control, and security requirements of various modules in SF . Requires good knowledge in areas of core HR, EC, CPI, Groovy and other SF modules. Must be innovative.

Work you’ll do

• Be the main point of contact and handle the design, development and delivery of the project.
• Support the Client Cloud Integration along with SuccessFactors applications
• Developing custom Iflow, Groovy Script, XSLT Mapping, and different Pallet Functions.
• Good hands-on working with different Adapter such as SuccessFactors, SOAP, SFTP, OData, HTTP, Process Direct, IDoc etc.
• Work with team members and Product Owners to analyze, recommend, plan, design, develop, and implement solutions to meet strategic, usability, performance, reliability, control, and security requirements
• Support and coordinate the efforts of Subject Matter Experts, Development, Quality Assurance, Usability, Training, Transport Management, and other internal resources for the successful implementation of system enhancements and fixes
• Perform SAP CI Development, configuration as required and have good knowledge on best practice guideline.
• Understand user requirements and create functional specifications with the required details.
• Act as primary liaison between business and technical resources to effectively communicate business requirements into high quality business solutions
• Interact with development team on a regular basis - suggest and implement innovative ideas and solutions; ensure process adherence.
• Communicate effectively with clients and project team to ensure the requirements are met and recommend better solutions wherever applicable during the project.
• Advance the goals and objectives of ITS by providing cost-efficient, high quality, client-focused solutions, according to established policies, procedures, and processes of the department and Firm

Qualifications

Required:

• 4+ years of experience integration different application using SAP Cloud Integration to include experience in one or more of the following areas:

• Understanding/experience with SSO (single sign-on) solutions, Cloud connector

• Integrating SAP HR and SuccessFactors using SAP cloud Integration

• Understanding of different transport mechanism including Groovy Script, Pallet function and different adapter in CI

• Understanding of data stores and effective Experience with ABAP, Basis, Security, SAP NetWeaver Process Integration (PI), Portal, Cloud Integration

• Working experience of integrating on premises and cloud applications using SAP CI

• Worked on different types of project such as migration, support, implementation and roll out.

Preferred:

• Minimum of 2 Full Life-cycle implementations of SAP SuccessFactors, from planning to configuration through go-live

• Certification in at least Cloud integration or one SuccessFactors module

• Bachelor’s degree strongly preferred

• Strong verbal and written communication skills, with an ability to express complex business concepts in non-technical terms.

• Customer focused and be able to effectively communicate with a variety of groups

• Excellent verbal and written communication skills.

• Strong analytical, problem solving, multi-tasking and interpersonal skills are required.