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PROGRAM MANAGER – REVENUE & GROWTH

Required Skills:

Stakeholder Management & Communication, Revenue & P&L Ownership, Data-Driven Growth & Experimentation, Cross-Functional Leadership & Execution, 0→1 Growth Program Execution

Work Mode: ONSITE

Working Day: 6

Prefer Industry: E-commerceTravel TechStartup

MANDATORY CRITERIA:

• Need candidate 4–8 years of experience in Revenue, Growth, Business Management, Category, or P&L ownership roles (not support/ops-only roles)
• Education:
• MBA from a Tier-1 institute OR
• Engineering from Tier-1 with demonstrated business ownership exposure
• Prior experience in E-commerce, Quick-commerce, Aggregator, D2C, or Marketplace-led businesses (food-tech, hyperlocal, or retail tech preferred)
• End-to-end P&L ownership for a business unit / category / region with clear accountability for topline, margins, and unit economics
• Proven experience driving 0→1 revenue initiatives, including new GTM channels, brands, SKUs, cohorts, or monetization levers
• Demonstrated ownership of the full growth funnel — acquisition, conversion, retention, repeat revenue, and churn reduction
• Strong hands-on experience in pricing, discounting, promotions, commission structures, and spend optimization
• Track record of experiment-led growth — A/B testing, pilots, cohort analysis, lifecycle programs, and scaling successful initiatives

DESCRIPTION:

About the Company:

● Founded in 2019, building India’s most trusted intercity travel platform, with reliability, safety, and standardization at its core. We operate a two-sided marketplace, delivering a consistent journey experience for travelers while maximizing earnings for our supply partners.

● Today, we connect 300+ cities nationwide, have served 2.5M+ unique customers, and are actively investing in fleet electrification and charging infrastructure to drive sustainable mobility.

● Backed by Y Combinator, InfoEdge, AdvantEdge, and leading global investors from India and Silicon Valley, we have also raised a strategic $9M investment from bp Ventures.

OVERVIEW:

We are looking for a Program Manager – Revenue & Business who will own topline growth, P&L, and profitability for a business vertical. This role requires hands-on revenue ownership, the ability to build and scale growth initiatives from scratch (0→1), and strong execution depth.

WHAT YOU WILL DO:

 Revenue, Growth & P&L Ownership (MANDATORY)

• Own end-to-end revenue targets, contribution margins, and P&L for the business vertical
• Drive topline growth, pricing strategy, and monetization levers
• Identify and unlock new revenue streams and demand levers

0→1 Revenue & Growth Initiatives:

• Build and scale 0→1 revenue programs, including demand generation, pricing experiments, new routes, cohorts, or GTM strategies
• Lead growth experiments, pilots, and A/B tests, and scale successful initiatives

Funnel & Demand Ownership:

• Own demand-side metrics including acquisition, conversion, repeat usage, and retention
• Optimize CAC, ROI, and unit economics in collaboration with marketing and finance

Execution & Operations (Revenue-Linked):

• Drive daily execution ensuring revenue and demand targets are met
• Resolve blockers impacting growth, supply-demand balance, and monetization

Data-Driven Revenue Strategy:

• Track and analyze revenue trends, cohort performance, route-level profitability, and customer behavior
• Build dashboards and performance reports for leadership

Cross-Functional Revenue Leadership:

• Work closely with Marketing (demand), Supply, Operations, Product, and Finance
• Ensure revenue goals are tightly integrated into execution and operations 

WHAT WE ARE LOOKING FOR:- 

• 4–8 years of experience with direct revenue and P&L ownership (not ops-only roles)
• Proven experience driving topline growth and profitability
• Prior experience in E-commerce, Quick-commerce, Marketplace, Aggregator, or Mobility platforms
• Demonstrated 0→1 revenue or growth initiatives (routes, pricing, cohorts, GTM, monetization)
• Hands-on experience with pricing, promotions, discounts, or monetization levers
• Strong analytical skills with experience owning revenue dashboards, KPIs, and growth metrics
• Proven ability to independently own and scale a business vertical
• Experience leading cross-functional teams with revenue accountability
• Education: Engineering or MBA from Tier 1 institutes ONLY.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

• Bachelors/Master Degree in Computer Science or related field.
• 4+ years of experience in developing web-based, E-Commerce applications on Salesforce Commerce Cloud (SFCC).
• SFCC Developer certification is preferred.
• Knowledge on SGJC and SFRA is must.
• Experience in working with ISML, Pipelines, Pipelets, JS-Controllers, Digital Scripts,

B2C Commerce API.

• Experience in working with Forms, Service and Job / Integration frameworks.
• Strong understanding on SFCC out of the box features and good experience with storefront customizations.
• Experience in working with third party services like Payment, Tax, Analytics, Fraud, Ratings & Reviews etc. using LINK and custom cartridges.
• Good understanding on multi-site, multi-currency and multi-locale.
• Object oriented analysis and design using common design patterns.
• Experience in working on performance optimization and troubleshooting.
• In-depth knowledge on SFCC Business Manager.
• Knowledge on build and deployment.
• Knowledge on Source Control Management Systems like GitHub/BitBucket and branching model.

Job Specifications:

• Strong and innovative approach to problem solving and finding solutions
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
• Ability to multi-task under pressure and work independently with No / minimal supervision.
• Ability to Negotiate and prioritize when under pressure
• Should be able to finish work with no supervision from lead
• Excellent communicator (written and verbal, formal and informal)
• Manage conflicts effectively
• Good Listening skills

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment. 

As a Principal Full-stack engineer, you will work across the Acceldata platform products. We’re looking for people with a strong background or inclination towards data engineering and systems; you’re comfortable in dealing with lots of moving pieces and can work at the  intersection of Databases, API's and Frontends

You will:          

• Be actively involved in strategic direction and product decisions.
• Design, build and maintain APIs, user-facing experiences, and services.
• Work closely with our customers and sales teams on a regular basis to carve out new features and use cases
• Work with MVC frameworks such as React or Angular 
• Work with database systems, RDBMS, Mongo, Elastic Search.
• Develop shared front-end components (JavaScript & CSS) for use across all of our products, enabling other UI engineers to build better products faster.

You need:      

• 12+ years of significant of web-application development experience in one or more JS frameworks. You care about building better products.
• Strong Computer Science fundamentals in data structures, algorithm design, and problem-solving.
• You're as comfortable writing plain JavaScript as working with modern frameworks like Angular. You've built your own controls and widgets in JavaScript. 
• You write unit tests for your JavaScript (really, you do). You've probably used Node. You have built complex JS web applications.
• Organized, thorough, and detail-oriented 

Good to have:

• Contribution to open-source projects.
• Background in enterprise software
• JVM performance tuning and debugging

Selected candidates day-to-day responsibilities include:

1. Working on computer vision/image processing applications like object classification, segmentation, etc.
2. Working on deep learning algorithms for machine vision based inspection usecases
3. Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data
4. Having full stack development experience will be plus