Mobile Automation tester

About vCommission Media

vCommission Media is a Leading Global Affiliate Marketing Network, delivering performance on web and mobile to worldwide advertisers through a growing network of over 100K+ affiliates. With presence in India, Singapore, UAE, UK, and USA, vCommission empowers meaningful digital growth across multiple verticals — Ecommerce, Travel, Utility, LeadGen IN, LeadGen & PPC US, and India COD Ecom.

We are looking for a highly driven and result-oriented Associate Manager – Advertiser Sales to expand our D2C E-commerce advertiser portfolio and drive new business acquisition. The ideal candidate should possess strong affiliate marketing industry knowledge, existing relationships within the D2C ecosystem, and proven experience in onboarding advertisers and building strategic partnerships.

Key Responsibilities

• Drive end-to-end advertiser acquisition for D2C E-commerce brands across India.
• Identify, prospect, and onboard new advertisers onto the vCommission network.
• Build and maintain strong relationships with decision-makers including Founders, Growth Heads, Performance Marketing Managers, and Marketing Directors.
• Generate qualified leads through market research, networking, referrals, LinkedIn, industry events, and outbound outreach.
• Conduct sales presentations, negotiations, and commercial discussions with prospective clients.
• Develop customized affiliate marketing solutions aligned with advertiser objectives.
• Collaborate closely with Advertiser Growth, Affiliate Teams, and Network Operations to ensure smooth onboarding and campaign launches.
• Track industry trends, competitor activities, and emerging D2C opportunities.
• Maintain accurate sales pipeline, CRM records, and forecasting reports.
• Achieve monthly, quarterly, and annual revenue and acquisition targets.

Requirements

4–5 years of experience in Affiliate Marketing, Performance Marketing, Partnership Sales, or Business Development.

Proven experience in onboarding D2C E-commerce advertisers.

Strong understanding of affiliate marketing models including CPA, CPS, CPL, CPI, and hybrid structures.

Existing networks and relationships within the D2C ecosystem will be preferred.

Experience working with affiliate networks, performance agencies, coupon platforms, cashback platforms, loyalty platforms, or influencer affiliate ecosystems.

Excellent communication, presentation, negotiation, and stakeholder management skills.

Strong analytical and problem-solving capabilities.

Ability to manage multiple sales opportunities and work in a target-driven environment.

Proficiency in CRM tools and sales reporting.

Benefits

Attractive Incentive Structure

5 Days Working

Performance-Driven Culture

Fast Career Growth Opportunities

Exposure to Global Advertisers and Affiliates

Learning & Development Programs

Collaborative and Entrepreneurial Work Environment

Strong Customer Success Manager / Implementation Manager / Post-Sales Delivery (B2B SaaS – US Customers) Profiles

Mandatory (Experience 1): Must have 3+ years of experience in Customer Success roles within B2B SaaS companies, primarily working with US-based customers.

Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and implementations, including requirement discovery, onboarding execution, go-live ownership, and early adoption success

Mandatory (Experience 3): Must have strong project management and customer communication skills, owning onboarding timelines, running regular customer check-ins, managing CXO-level stakeholders, and proactively flagging risks or blockers.

Mandatory (Experience 4): Must have worked in post-sales, non-quota-carrying roles focused on customer success, retention, and long-term relationship management (upsell is not mandatory)

Mandatory (Experience 5): Must have a conceptual understanding of SaaS products and APIs, with the ability to understand workflows, follow integration issues, and coordinate effectively with technical teams (hands-on coding not required).

Mandatory (Note): Must be willing to work in US time zones (approx. 4:30 AM IST onwards, Mon–Fri).

Mandatory (Company): B2B SaaS (Technical complex)

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Job Description

Positions: SAC Planning & Reporting

Education Qualification: CA OR MBA in Finance

Experience: 

• 8-12 years of experience as an accountant in NON- Financial services sector (Should not be financial services, ideally manufacturing, can be other services)
• 2-5 years of minimum experience in the SAC Planning & Reporting
• Financial services sector experience- DO NOT APPLY PLEASE

Location:  Bangalore, Gurgaon, Mumbai

CTC: 25-40 LPA pa, commensurate with experience

Skills Required:

• Proven experience in SAC implementations (SAP ECC, SAP S/4HANA)
• Strong expertise in finance modules (R2R, FA, AR, AP, Project Accounting, Costing, Margin Analysis)
• Experience with emerging technologies (RPA, AI) and EPM tools (SAC/Anaplan, OneStream, Oracle PBCS)
• Outstanding analytical and communication skills
• SAC certification would be an advantage
• Experience in managing large-scale finance transformation projects
• Strong project management skills with a focus on delivering high-quality results
• Ability to work in a fast-paced, dynamic environment
• Excellent stakeholder management and relationship-building skills
• Proficiency in data analytics and advanced data analytics tools
• Experience with cloud-based finance solutions
• Knowledge of regulatory and compliance regulations in finance
• Ability to adapt to different industries and remain current on economic developments
• Strong understanding of financial planning, budgeting, and forecasting processes.
• Ability to analyze business requirements and translate them into technical solutions.

Responsibilities:

SAC Planning:

• Design and implement SAC Planning models for budgeting, forecasting, and financial planning.
• Develop complex calculations, data transformations, and input forms to enable effective planning processes.
• Provide support for what-if scenarios, variance analysis, and predictive planning functionalities.

SAC Analytics & Reporting:

• Design and deliver SAC stories and dashboards for advanced analytics and interactive reporting.
• Develop models and visualizations that provide actionable insights across different business functions (e.g., finance, sales, supply chain).

Others:

• Create KPIs, charts, and custom widgets to enhance decision-making capabilities.
• Expertise in delivering user-friendly and visually appealing dashboards.

• Building and sustaining long-lasting relationships with existing and potential clients.
• Conducting research on potential clients' products or services and determining the geographic location of the majority of their target customers.
• Setting up meetings with potential clients to present advertising proposals and address their concerns.
• Assisting the marketing team in the preparation of media kits and promotional plans.
• Attending sales meetings, trade shows, and training workshops as required.
• Persuading clients to purchase company advertising products and services by communicating the benefits of various types of advertising.
• Providing recommendations on suitable formats, advertising mediums, and font sizes.
• Preparing sample advertisements for clients.

GREETINGS FROM CODEMANTRA !!!

EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!

Skills and Qualifications

*Strong Hands-on experience in Python Programming

*** Working experience with Computer Vision models - Object Detection Model, Image Classification

* Good experience in feature extraction, feature selection techniques and transfer learning

* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.

* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.

* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.

* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.

* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model

Regards