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About the role

Pendo is seeking a Senior Agentforce Revenue Management (ARM) Developer to lead the architectural transformation of our global quote-to-cash systems. You will own the technical strategy for migrating our existing CPQ infrastructure to Agentforce Revenue Management and serve as the primary architect for our revenue systems, ensuring that our pricing, billing, and subscription engines are built for enterprise scale.

Role responsibilities

• Architectural leadership: Lead the end-to-end technical migration from legacy CPQ to ARM, defining the target data model and transformation roadmap.
• ARM/CPQ solution design: Architect scalable pricing procedures and bundle logic for complex global requirements, multi-currency support, and intricate discounting hierarchies.
• Technical governance: Establish best practices for CPQ and ARM development, including configuration standards, documentation requirements, and code reviews.
• Integration architecture: Design and oversee high-performing integrations between ARM, Salesforce Billing, and ERP systems (Zuora) to ensure a single source of truth for revenue data.
• Advanced automation: Develop custom Apex solutions and complex Flows to handle unique business scenarios beyond standard ARM/CPQ capabilities.
• Stakeholder management: Partner with Finance, RevOps, and Sales leadership to translate business strategy into technical revenue configurations.
• Mentorship: Act as a technical mentor for junior and mid-level developers.
• Release management: Oversee deployment of revenue system enhancements using CI/CD tools, ensuring zero downtime for critical sales functions.
• Strategic roadmap: Evaluate new Agentforce and Revenue Cloud features to continuously improve the Pendo sales experience and operational efficiency.

Minimum qualifications

• 7+ years of Salesforce development experience with expert-level proficiency in Apex (Triggers, Classes, Async Apex), LWC, SOQL/SOSL, and Salesforce Flow.
• 5+ years of experience with the Salesforce Quote-to-Cash system, with strong experience in Salesforce CPQ configuration.
• Direct hands-on technical experience with Agentforce Revenue Management (ARM), specifically in architecture and data model transition.
• Proven experience leading a large-scale platform migration (e.g., CPQ to ARM or similar enterprise Quote-to-Cash transformations).
• Expert-level knowledge of the Salesforce CPQ and Revenue Cloud Advanced (ARM) data models and engine.
• Deep experience with the Order-to-Cash lifecycle, including amendments, renewals, and revenue schedules.
• Demonstrated ability to lead technical project teams and manage complex, multi-month implementation timelines.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Ability to work from the office at least 3 days per week.

Preferred qualifications

• Salesforce Certified Revenue Cloud Consultant and Salesforce Certified CPQ Specialist.
• Experience with Agentforce Revenue Management (ARM) / Revenue Cloud Advanced (RCA) early adopter programs.
• Experience integrating Salesforce with Zuora Billing or Zuora Revenue.

Key Responsibilities

• Architect and maintain scalable end-to-end automation frameworks using Playwright and TypeScript to ensure high test coverage and reliability across complex web applications.
• Design and execute advanced SQL queries in PostgreSQL to perform backend data validation, ensuring data integrity and consistency between the UI and database layers.
• Apply robust system design principles to develop modular, reusable test components and service-level abstractions that minimize framework technical debt.
• Integrate automated test suites into CI/CD pipelines to facilitate continuous testing and provide rapid feedback on build stability and regression impacts.
• Collaborate with cross-functional engineering teams to conduct technical design reviews, identifying potential edge cases and architectural risks early in the SDLC.
• Mentor junior quality engineers on best practices for asynchronous programming in TypeScript and efficient selector strategies within the Playwright ecosystem.
• Analyze complex system requirements to create comprehensive test strategies that balance functional automation with performance and reliability benchmarks.

Success Metrics for this Role (first 6 months):

• Achieve maximum possible automation coverage for all high-priority regression test cases within the assigned functional module using Playwright and TypeScript.
• Reduce manual regression testing execution time by at least 40% through the implementation of optimized, parallelized test scripts and CI/CD integration.
• Design and implement a minimum of 5 complex utility functions or custom hooks in the Playwright framework to enhance code reusability and handle intricate PostgreSQL data validation workflows.
• Maintain a script stability rate of 90% or higher, ensuring that failures are due to genuine application defects rather than environment instability or flaky test logic.

Good-to-Have / Preferred Skills

• Proficiency in implementing and managing Continuous Integration and Continuous Deployment pipelines using tools like GitHub Actions, GitLab CI, or Jenkins.
• Experience with Docker and containerization strategies to ensure consistent execution of test suites across various environments.
• Understanding of cloud infrastructure services, specifically AWS or Azure, for scaling automated test execution and managing cloud-native databases.
• Mastery of API contract testing frameworks like Pact to ensure service compatibility within microservices architectures.

Role & Responsibilities:

• Develop new business by Prospecting target accounts, Qualifying prospects & Closing sales.
• Take ownership of the entire sales funnel.
• Conduct cold outreach activities across various channels to generate new sales opportunities.
• Conduct discovery calls and product pitches with prospects to understand their needs, use cases, budgets, etc., and align them with Rekart's value proposition.
• Live demos & follow-up with the leads till the client signs the contract.
• Provide constant feedback to the technical team for enhancement of the product.
• Update and maintain real time data on the sales pipeline using CRM.
• Build and maintain professional relationships with both potential and existing clients.
• Discover and implement new lead generation strategies specific to the market to supplement inbound lead generation, working closely with the Marketing, Inside Sales, and Partnership teams.

Must Have:

• A minimum of 1-2 years of experience in B2B Sales / Business Development in selling technology-based products and services in domestic and/or global markets.
• Demonstrated success in achieving sales target on a monthly and yearly basis.
• Self-motivated individual seeking a challenging new opportunity with exceptional potential for growth.
• Excellent communication skills, both written and verbal, capable of engaging in conversations with C-level executives.
• Detail-oriented with the ability to articulate ideas clearly.
• A background in technology sales and B2B SaaS is an added advantage.

What can you expect from us:

• Constant Learning and Support
• Freedom & Responsibility
• Recognition of hard work & good talent.
• Transparency

Other benefits include provident fund, insurance, personal growth opportunities, technology growth opportunities etc.

We are hiring a SAP BTP CAPM Consultant with a minimum of 6 years of experience in building applications using SAP’s Cloud Application Programming Model (CAPM). Strong hands-on experience with Node.js or Java in BTP, OData services, and deployment in Cloud Foundry is required. Experience with SAP HANA DB and BAS (Business Application Studio) is preferred.

Key Requirements:

At least 2 end-to-end SAP EWM implementations

Strong experience in SAP EWM 9.5 and S/4HANA Embedded EWM Proficiency in EWM-ERP integration, IDOCs, CIF, RFC

Good grasp of Inbound, Outbound, Warehousing, Packaging processes Prior work in the Auto/Manufacturing industry (minimum 2 years)

Preferred:

SAP EWM certification Experience with SAP TM, Value-Added Services (VAS), and automated warehouses

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Responsibilities

Develop high quality, secure, stable code for use in products and solutions for

customers, making it easier for other developers to maintain, enhance, reuse,

and localize

Work with Product Owner and/or Product Manager/Team to understand and help

refine functional requirements for new products

Develop and outline architecture and relationships between subsystems and

participates in review of those designs

Investigate and, if necessary, prototype technologies and algorithms relating to

the task

Break down a large problem into smaller components and provide a clear

solution for each piece

Ensure new code, feature or software product meets performance goals/metrics

Research external best practices and emerging technologies for possible

incorporation into company products and methodologies

Write and maintain the code following Test-Driven-Design principles

Minimum Qualifications

Bachelor’s degree in any Engineering discipline from reputed engineering

college

5 to 7 years of strong programming skills in Web and Cloud Technologies

Should have a very strong foundation in JavaScript, and must have a clear

understanding of basic web fundamentals such as prototype based inheritance,

scopes, Event Loop, Memory Management in JS, etc

Should be good at developing modular front-end applications and is expected to

have the knowledge to create good abstractions that can be reused . Should also

have in-depth understanding of latest ES6 standards such as spread operators,

arrow functions, etc

Should have strong programming skills in Web and Cloud Technologies

Should be strong in OOAD Concepts

Should have a strong hands-on in React, Typescript

Should have Hands-on experience in any of the backend language.

Should understand latest paradigms in Front End Development such as Pub-Sub

Pattern, Redux, RxJS, Service Workers, Client Caching, Lazy Loading, Dynamic

Injection, Bundle Optimisation, etc

Should have very good hands-on knowledge of CSS3 & HTML5

Should have good knowledge of Postman API Platform

Should have experience with Amazon web services – ECS, Lambda, S3, SQS, etc

Should have Hands-on experience of developing RESTful web services and

integrating the same with heterogeneous clients

Should have Hands-on experience with Relational or NoSQL Database’s

Should have a very clear understanding of TDD is expected and should have

good exposure to writing UT's and designing UI components with testability in

mind

Should have Strong Communication and Analytical skills

Flexibility under changing conditions and the ability to multi-task between

projects

Preferred Qualifications

Hands-on experience with C++

Nice to have experience with Python

Nice to have experience with CI/CD tools like Docker, Jenkins, etc

Nice to have a hands-on & Understanding of CSS Pre-processors such as SASS,

LESS, etc

• Experience in corporate training with minimum 3.5 years of experience in Technical training
• Exposure into Core Java & Advanced Java
• Candidate should have good Presentation, verbal & written communication Skills.
• Good to have knowledge on FET