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We are good with S4,ECC Payroll, migration from ECC to S4.

This is implementation role.

2 end to end life cycle of Payroll, have configuration exp, configuration exp, understand us Tax & worked on US payroll

Exp in Design & requirement gathering , even if its on-prem payroll, we are good with it

2 end to end implementation cycle,

We will providing them payroll requirements & they need to configure system unit test, & support activities. 

Key job responsibilities:

Responsible for successful end to end delivery and payroll configuration in large scale global projects. This role involves in-depth understanding of processes across various HCM modules and the ability to define various strategies and leading small teams. Practitioner must be able to analyze, map, and transform HR business processes; design target operating models , configure and unit-test SAP/SuccessFactors modules, focusing on US Payroll and integrations , develop and review functional specifications, configuration documentation, and test scenarios and ensure high client satisfaction through quality, communication, and timely delivery.

1)      4+ years of SAP US payroll experience.

2)      Experience of US Payroll and HR processes in a technical capacity – PA/OM, Payroll

3)      Should have worked on at least two implementation projects

4)      Should have experience of working in large/disparate teams

5)      Understand Business Processes

6)      Identify, document as-is processes and design & recommend to-be processes

7)      Map Business Processes to SAP/SuccessFactors

8)      Analyze & identify system limitations and requirement gaps

9)      Configure & unit test in relevant SAP/SuccessFactors modules

10)   Write/ review Functional Specification / Configuration Workbook documents

11)   Develop test scenarios, scripts, cases, data

12)   Lead and/or support cutover preparation, go-live activities and hypercare support

13)   Should have troubleshooting knowledge of payroll schema, PCR’s , Identify and fix errors

14)   Strong payroll skills with good understanding of benefits, time management & OM/PA

15)   Interfaces testing with mapping and validation

16)   Good knowledge on country specific tax forms and year end activities

17)   Understand Business Processes. Map Business Processes to SAP/SuccessFactors

18)   Identify, document as-is processes and design & recommend to-be processes

19)   Establish open, fluid, and timely communications with all interested parties, stakeholders, and project teams

20)   Play lead roles preferably on multiple projects. Understands project statuses, understands project lifecycle, manage mitigation of risks and issues, set up change control processes and escalation points

21)   Work closely with customer, technical and functional teams to deliver project scope on time, on budget and with high quality deliverables

22)   Establish open, fluid, and timely communications with all interested parties, stakeholders, and project teams

23)   Use prior experience to develop accurate work estimates, project budgets and timelines

24)   Ensure client satisfaction targets are achieved

25)   Be a key contributor in the team, drive desired professional behaviors and motivate the team to the highest levels of performance and ensure that team resources have the best conditions to perform successfully

26)   Exercise required controls and propose improvements as required, including quality plans, issues and action logs, risk management plans and change control plans, for all aspects of the assignment

27)   Follow SLAs and projects/CRs plan effectively

28)   Drive Innovation/Process improvements

29)   Responsible for Statement of Work preparation, purchase orders, price quotes and other contractual materials as part of scheduling and deploying resources

30)   Ensure business and assignment risks are identified, monitored and managed to achieve minimal disruption to the project delivery and success

31)   Act as an SAP HR and SuccessFactors subject matter expert by providing best-practice guidance on HCM business processes

32)   Responsible for adhering to the current project management methodology while influencing best practices, process improvements, and procedures

33)   Mentor associates and foster a learning and growth environment

34)   Retrieving Data from Employee Central

35)   Update configuration workbooks when necessary.

36)   Configure & unit test in relevant SAP/SuccessFactors modules

37)   Write/ review Functional Specification / Configuration Workbook documents

38)   Develop test scenarios, scripts, cases, dat

39)   Participate in internal and client knowledge transfer sessions.

40)   Proactively review data and deliverables for issues and escalates as appropriate.

41)   Liaise with 3rd party vendors for product/integration issues.

42)   Good to have finance and 3rd party integration knowledge, integration to ADP

Experience:

·        Min 4 yrs in SAP HCM/Successfactors

·        Valid ECP certification is Optional

Key Skills:

·        Minimum 1-year experience with successful implementations of the SuccessFactors or HCM solutions

·        SAP HCM – US Payroll , CA and Global countries

• Minimum of 2 HCM payroll implementations.
• Excellent verbal and written communication skills

Qualification: Required B. Tech/B.E/MBA/MCA

Senior MLOps Engineer

LLM Operations, Observability & Eval Infrastructure

📍 Mumbai (On-site) | Full-time | 5-7 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.

This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.

The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.

The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.

A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.

Responsibilities:

Observability and Tracing

Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.

Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).

Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.

Evaluation Infrastructure as a Production System

Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.

Implement regression gates that block quality-degrading changes from shipping.

Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.

Model Lifecycle Management

Pin model versions, never "latest".

Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.

Maintain fallback chains across providers for graceful degradation or queueing during outages.

Track provider deprecation schedules and plan migrations ahead of forced cutoffs.

Cost Operations

Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.

Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.

Monitor prompt cache hit rates and quantify savings.

Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.

Prompt and Configuration Deployment

Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.

Reliability Engineering for Agent Runs

Agent runs are long, stateful, and failure-prone.

Own retry and resume semantics so a run that fails mid-way does not restart from scratch.

Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.

SLO Ownership and Incident Response

Define and track SLOs for agent run latency and completion rates.

Lead incident response when SLOs are breached.

Write postmortems.

Surface reliability risks proactively before they reach users.

Safety and Compliance Operations

Run the moderation pipeline (prompt and output classification) in production.

Monitor for abuse patterns and own incident response when the agent misbehaves at scale.

Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on production ownership of LLM-backed systems in operation (mandatory).

Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.

Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).

POCs and lab work do not qualify.

5+ years of overall engineering experience

With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.

This is not an ML science role.

A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.

Observability and Tracing Depth

Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.

Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.

Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.

CI/CD and Quality Gate Experience

Strong with GitHub Actions or GitLab CI.

Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.

Cost Management and Attribution for Usage-Based Services

Experience owning cost attribution for cloud API spend or equivalent.

Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.

Reliability Engineering for Long-Running, Stateful Workloads

Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.

Comfortable defining SLOs and being accountable for them on production systems.

Multi-Provider API Management

Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.

Infrastructure as Code and Deployment Automation

Hands-on with Terraform or Pulumi and Docker.

AWS working knowledge (EC2, S3, IAM, EKS or ECS).

Strong with CI/CD for deploying services and configuration changes safely.

Nice to Have

• Experience with prompt A/B testing or staged rollout infrastructure
• Workflow orchestration (BullMQ, Temporal, Celery)
• Content moderation pipeline experience
• Data residency and compliance requirements for AI systems
• Kubernetes (EKS) in production
• AWS certifications

About the role 

Most QA teams test software. We want someone who builds a machine that gets better at testing software every time it encounters a bug. 

This is not a role for someone who "uses AI tools." This is a role for someone who thinks like an architect. You will design a QA system that is legible to machines — structured, documented, and self-improving — so that the knowledge of every bug ever found is permanently encoded, queryable, and feeds back into the next test cycle. The goal is simple: the longer you are here, the harder it should be for us to ship a bug. 

You will own quality for Cash, a digital lending app (short-term personal loans) on Android and web — and that ownership extends from the front end all the way through to the back end. 

You are the first QA hire. You will build this function from scratch. 

There is no existing QA process today. No tooling is chosen. No taxonomy exists. No team is in place. You are the founding hire for this function.

Your first 60 to 90 days will be spent laying the foundation: choosing the tools, defining the bug taxonomy, writing the first skills, and establishing what "done" means across the engineering org. Once that foundation is stable, you will define the team structure you need, propose it, and then lead the hiring yourself. The engineers who join QA after you will be hired because you decided you needed them. 

This is a founder-mode role inside an engineering team. It requires someone who is energised by a blank canvas, not someone who wants to inherit a mature process. 

If you have spent your career executing inside an established QA function and are looking for more of the same, this is not the right role. If you have wanted the mandate to build the system properly from day one and have never had it — this is that opportunity. 

What you will own 

The knowledge base 

Every bug you find — whether in QA or in production — gets documented in a structured, machine-readable format. Not just "what broke" but: what flow triggered it, what the borrower context was, what data state preceded it, what the expected behaviour was, what the actual behaviour was, and which class of error it belongs to. Over time, this becomes Cash's QA Wikipedia — a corpus that an LLM can read and use to generate new test cases, that a new engineer can query to understand failure patterns, and that you can analyse to find where the product keeps breaking. 

This is not documentation for its own sake. It is infrastructure. The test suite is only as good as the knowledge base behind it. 

Skills, not scripts 

For every recurring testing workflow — new feature regression, release smoke test, critical-path sanity check, payment flow validation — you will build a skill: a reusable,

prompt-able test protocol that is AI-executable. When a new engineer joins, they run the skill. When an AI agent is asked to help test a release, it reads the skill. The skill improves every time a bug gets through it. 

The feedback loop 

Every production issue must close the loop. When a bug is found in production, you trace back why the QA cycle did not catch it, update the relevant skill, and add the scenario to the knowledge base. No bug should be found in production twice for the same underlying reason. 

Coverage — front end and back end 

Front end (Android and web) 

● Onboarding and Know Your Customer — Aadhaar/PAN flows, video KYC, bureau pulls 

● Loan application and eligibility decisions — rule engine outcomes, edge cases across credit tiers 

● Disbursement — payment gateway integration, failure states, retry logic

● Repayment — in-app payments, auto-debit, partial payment handling

● Collections and dunning — overdue flows, notification logic, settlement scenarios

● Regulatory compliance — Reserve Bank of India guidelines on digital lending, fair practices code, key fact statement display 

● Cross-platform consistency — Android app and web admin panel 

Back end 

● API contract testing — request/response behaviour, error codes, edge-case inputs

● Rule engine validation — confirming that credit decisioning, eligibility, and pricing logic produces correct outputs for known borrower profiles, including boundary cases

● Data integrity checks — verifying that the right records are created, updated, or flagged after key events (disbursement, repayment, status transitions)

● Integration testing — bureau, KYC provider, payment gateway, and notification service behave correctly end-to-end 

● Regression on back-end changes — any service update, migration, or config change must pass a defined back-end test protocol before reaching production 

Failure-state and idempotency testing 

Disbursements and repayments involve real money. What happens if the payment gateway times out mid-disbursement? What happens if a repayment webhook is delivered twice? What happens when a bureau call fails mid-application? You will own failure-path and retry-logic testing explicitly — not as an edge case, but as a first-class part of every release cycle. 

Audit trail and logging validation 

Every significant event in the borrower lifecycle — application submitted, bureau pulled, decision made, loan disbursed, repayment received — must produce a correct, complete, and tamper-evident audit log. You will test that these logs are accurate. In a regulatory inquiry or a borrower dispute, the audit trail is the evidence. 

Security testing (functional) 

You will own a security testing checklist covering: whether borrower data is exposed in API responses or logs, whether sessions expire correctly, whether API responses are correctly scoped to the authenticated user, and whether error messages leak sensitive information. This is not a penetration testing mandate — that is a separate engagement — but functional security hygiene is part of every release. 

Notification and communication testing 

sends SMS, push notifications, and WhatsApp messages at specific borrower lifecycle triggers. You will test correct trigger conditions, correct content, correct recipient,

and correct timing — including the case where the same event should not produce duplicate messages. 

Performance and load testing 

You will own a baseline load test that runs before major releases — simulating concurrent loan applications, concurrent repayments, and peak traffic scenarios. A lending app that degrades under campaign load is a trust problem, not just a technical one. 

Feature flag and staged rollout validation 

Cash introduces features to specific segments (by tier, cohort, or geography), you will verify that flags work correctly — users outside the target segment do not see the feature, and partial rollouts do not produce inconsistent back-end states. 

What good looks like in 90 days 

● Tooling chosen and set up: test management, bug tracking, and at least basic CI/CD integration 

● A structured bug taxonomy with at least five top-level failure classes, each with sub-types and historical examples 

● A skills library covering the five highest-risk flows (loan application, disbursement, repayment, KYC, collections) 

● Every production bug from the past three months documented in the knowledge base with root cause and skill update 

● A release checklist — covering both front end and back end — that an AI agent can execute the first 80% of independently 

What good looks like in 12 months 

● The knowledge base has enough signal to answer: which part of the product produces the most bugs per sprint, which bug class most often escapes to

production, and whether the front end or back end is the higher source of production risk 

● New features ship with skills pre-written as part of acceptance criteria, not as an afterthought 

● Back-end engineers treat you as a partner in the definition of done, not a gatekeeper at the end of the cycle 

● You have hired at least one QA engineer and defined the roadmap for the rest of the team 

● A measurable reduction in production escape rate compared to the baseline when you joined 

What we are looking for 

Non-negotiable: 

● 3+ years in QA for a fintech or digital lending product — loan origination, payments, or collections 

● Experience testing both front-end and back-end services — API testing, database state validation, and integration testing must be in your toolkit, not stretch goals ● Comfort with failure-path and edge-case thinking — happy-path testers need not apply 

● Proven habit of writing documentation that others actually use — not as a compliance exercise but as a tool 

● Hands-on experience using LLMs (Claude, GPT-4, Gemini) to generate test cases, analyse logs, or review coverage gaps 

● Ability to write basic automation scripts in Python or JavaScript — you do not need to be a developer, but you need to be able to build and maintain simple automated checks 

Strong signal:

● You have built something like a bug knowledge base before — even informally — and can show us what it looks like 

● You have thought about the difference between documentation as a record and documentation as infrastructure 

● You have worked in an environment where a decision made by a system had a direct financial consequence for an end user, and you understood the stakes that came with that 

● You have hired or mentored QA engineers before 

Why this role is different 

Most QA roles are reactive. A bug is found, a ticket is filed, the developer fixes it, QA closes it. The institutional knowledge of why that bug happened lives in someone's head or in a comment nobody will read again. 

We want the opposite: a QA function that compounds. Every bug makes the next release safer. Every production incident makes the test suite smarter. The person who builds that system is not a tester. They are an engineer of quality infrastructure.

Why Join Us? 

● Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder 

● Best of both worlds: startup speed + listed company stability 

● High ownership, strong learning curve, and direct business impact ● A fast-paced, collaborative culture that values innovation, ownership, and bold thinking

Learn More About Us 

● Annual Report 2024–25 

● Vision Video 

Job Description: React Developer (3–5 Years Experience)

Location: Mumbai

Employment Type: Full-time

Role: Frontend Developer (React.js)

About the Role

We are looking for a highly skilled React Developer with 3–5 years of hands-on experience in building modern, scalable, and responsive web applications. The ideal candidate should be proficient in React.js, frontend architecture, state management, and UI best practices.

Key Responsibilities

• Develop responsive, high-performance web applications using React.js, JavaScript/TypeScript.
• Build reusable components and front-end libraries for future use.
• Work closely with UI/UX designers to convert wireframes and prototypes into functional user interfaces.
• Optimize applications for maximum speed, scalability, and cross-browser compatibility.
• Integrate RESTful APIs and work collaboratively with backend teams.
• Participate in code reviews and contribute to continuous improvement of best practices.
• Troubleshoot, debug, and enhance existing applications.
• Ensure high code quality through proper testing and documentation.

Required Skills & Experience

• 3–5 years of professional experience in React.js development.
• Strong proficiency in JavaScript (ES6+) and TypeScript.
• Hands-on experience with Redux, Context API, or other state-management libraries.
• Good understanding of HTML5, CSS3, SASS, and modern UI frameworks.
• Experience working with REST APIs, JSON, and asynchronous programming.
• Familiarity with build tools like Webpack, Vite, Babel, etc.
• Understanding of Git and version control workflows.
• Knowledge of React hooks, performance optimization, and component lifecycle.
• Experience with testing frameworks (Jest, React Testing Library) is a plus.

Good to Have

• Experience with Next.js or server-side rendering.
• Knowledge of UI libraries such as Material-UI, Ant Design, or Chakra.
• Familiarity with Agile/Scrum methodologies.
• Basic exposure to DevOps tools and CI/CD pipelines.

Why Join Us?

• Opportunity to work on cutting-edge technologies.
• Collaborative, fast-paced, and growth-oriented environment.
• Competitive compensation and employee benefits.

Convert user stories to user flow maps

Design the UX architecture

Design the user Interface Design

Maintain a Design System

Worked on and made small illustrations

Good to have experience in motion design

Note: Please do not apply if you are currently working in an E-Commerce company.

Note: We are specifically looking for candidates who are currently employed at a B2C tech product company.

No.Of Positions : 8

Mandatory

Strong B2C Product Marketing Profile

Mandatory (Experience 1): Must have 2+ YOE in product marketing for digital products

Mandatory (Experience 2): Must have direct experience in pre-launch and post-launch marketing, including user research, positioning, GTM planning etc

Mandatory ((Experience 3): Experience launching or scaling a mobile app, preferably iOS

Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)

Role & Responsibilities

- We are seeking a dynamic and talented Assistant Product Marketing Manager with a passion for mobile apps to join our growing team. The ideal candidate will play a crucial role in new product ideation, executing successful go-to-market strategies, and ensuring the overall success of our mobile applications. This role requires a combination of strategic thinking, creativity, analytical skills, and effective communication.

- New Product Ideation: Collaborate with cross-functional teams to generate innovative ideas for new mobile app products. Conduct market research and analysis to identify emerging trends and opportunities.

- Go-to-Market Strategy: Develop and execute comprehensive go-to-market strategies for new products, ensuring successful product launches. Work closely with the product development team to align marketing initiatives with product features and benefits.

- Competitor Research: Conduct thorough competitor analysis to understand market trends, identify competitive advantages, and position our products effectively.

- User Lifecycle Management: Develop and implement strategies to optimize the user lifecycle, from acquisition to retention. Utilize data-driven insights to enhance user experience and engagement.

- A/B Testing: Design and execute A/B testing initiatives to optimize marketing campaigns and improve key performance indicators.

- App Store Optimization (ASO): Implement effective ASO strategies to enhance the visibility and discoverability of our mobile apps on various app stores.

- Stakeholder Management: Collaborate with internal teams, including product development, design, and sales, to ensure alignment and successful product launches. Build and maintain strong relationships with external stakeholders, including partners and vendors.

Ideal Candidate

- Communication: Excellent written and verbal communication skills. Ability to convey complex ideas in a clear and compelling manner.

- Product Analytics: Strong understanding of product analytics and the ability to derive actionable insights from data.

- App Media Buying: Experience with app media buying platforms, including Google, Facebook, AppLovin, Taboola, etc.Proven ability to optimize campaigns for maximum ROI.

- App Monetization: Knowledge of various app monetization models and strategies. Ability to develop and implement monetization plans that align with business goals.

- Design and Messaging: A keen eye for design and messaging to create visually appealing and effective marketing materials. Understanding of how design elements impact user engagement. If you are a results-driven individual with a passion for mobile apps and possess the skills outlined above, we invite you to apply for this exciting opportunity.

Perks, Benefits and Work Culture

- Flexible work hours and leaves

- Salary advance

- Maternity/Paternity leave benefits & adoption assistance

- Butler & Concierge services

- Team Off-sites & Celebrations

Beyond Work:

- Insurance benefits for you and family

- Interest-free loans

- Gift vouchers for special moments

- Fully-equipped Gym

- Education Sponsorship Programs

Job Profile: Business Development Associate (BDA)

Description: You will start your journey at BYJU’S as an individual contributor working in a team to introduce and showcase the unique way in which BYJU’S-The Learning App helps students learn better. You will also be responsible for mentoring these students and will play a role in their learning journey. Your key role will be to connect with students and parents across the country about one of the world’s most loved learning apps and how it will help students learn not just for exams, but way beyond. 

This is an individual contributor role in an employee-oriented, high-performance environment that emphasizes spreading BYJU’s unique way of learning in your city. Your role will start with contacting potential customers (parents and students) to set up meetings, and counsel the students on learning pedagogies and BYJU’s personalized learning journey. You will be working 5 days a week with Mondays and Tuesdays being week-off. This hybrid model of sales will give you exposure to the best of inside sales and direct sales. Please download BYJU’s Learning App to understand the magic of BYJU’s courses which have been widely accepted not just across thousands of towns in India but by millions of users across the globe. We look forward to having you on board Team BYJU’s. All the best!

Applicant Trainee Program

Expectation from you: You will begin as an individual contributor, working in a team of go-getters to help spread Byju’s way of Learning in your city. You would be showcasing the unique features of Byju’s to students and parents in personalized sessions and will be responsible for mentoring and sales in your designated zone.

Preferred Skill Sets:

Have a keen interest and deep understanding of the Indian education sector.

Interested in mentoring and guiding students.

Having a knack for sales

Good interpersonal and presentation skills.

Academic Qualification: Any Graduation/ Post Graduation (Completed in or before 2022)

Based on your profile, we would like to shortlist you for an Interview with us after a brief interaction amongst the following profiles.

Business Development Associate - Center Sales Associate, Inside Sales Associate

Sector: Sales 

Locations: Across India

Working Days:6 days work week (Saturday and Sunday Mandatory working) 

CTC: Rs. 4.5 Lakhs - 5.5 Lakhs per annum + Rs. 3 Lakhs per annum as Incentive Pay (Post Training) 

During the Training program:  4-6 weeks 

How to proceed: You can also fill the following form 
https://docs.google.com/forms/d/e/1FAIpQLSdvO9DbAZ4v5KxoaBO78hsxHYOnCytEDQCXDvl_g56eb3YXIw/viewform" target="_blank">https://docs.google.com/forms/d/e/1FAIpQLSdvO9DbAZ4v5KxoaBO78hsxHYOnCytEDQCXDvl_g56eb3YXIw/viewform

Important Steps: 

1. Please be available on your registered mobile number during the date chosen by you for the interview. (Please let us know if there are changes in this phone number.)
2. Result declaration will be done within 7 working days

The role of the Key Account Manager - Sales is to bring new clients to Excellent Publicity through online & offline reach out and the below-mentioned work is carried out:

• Building the pipeline: Build a list of potential clients, reach out to them, fix meetings, gather requirements, share plans and get business. While there is a team to assist, the primary responsibility of pipeline building lies with the Account Manager
• Fixing Meetings: Reach out to the advertisers through cold calls/emails from the pipeline and set up meetings.
• Gather requirement: Use the meetings to gather requirements. In case there is no immediate requirement, maintain a relationship with the potential advertisers for future requirement
• Addressing the client requirements: Work closely with the media managers to address the client queries
• Campaign execution: Execute and monitor the campaigns. Remain the single point of contact for the advertiser in Excellent Publicity
• Maintain PR: Keep putting up efforts to increase business from existing clients.
•  

Other important skills and traits required to succeed in this role and Excellent Publicity, in general:

1. Good at identifying potential SMEs and Startups who can advertise

2. Ability to research and find relevant contacts in these organizations

3. Ability to understand client requirement and pitch relevant solution

4. Strong communication skills

5. Reliable and can work independently with minimum supervision