Jobs at Loyalty Juggernaut

Supports enterprise SaaS sales through RFP/RFI responses, technical questionnaires, product demonstrations, solution workshops, and proof-of-concept environments. Configures and troubleshoots demonstration environments, prepares sample data and technical presentations, documents architectures, and collaborates with sales, product, and engineering teams. The role requires experience with SaaS architecture, REST APIs, JSON, Postman, integrations, system configuration, and customer-facing technical communication.

Lead enterprise SaaS presales activities from discovery and solution design through demonstrations, RFPs, technical validation, and close. Translate customer business and technical needs into solution strategies, deliver tailored demonstrations, partner with Account Executives, engage executive stakeholders, and develop reusable presales assets and best practices. The role focuses on loyalty, CRM, customer data, marketing automation, and customer engagement technology, with travel up to 15%.

Leads strategic advisory work for enterprise loyalty programs by directing analysis, interpreting customer and financial data, developing growth roadmaps and business cases, and presenting executive-level recommendations. Oversees engagement quality, guides project teams, develops thought leadership, and strengthens consulting frameworks. Requires expertise in customer analytics, forecasting, loyalty economics, financial modeling, research design, executive communication, and strategy consulting.

Coordinate end-to-end B2B technology events, managing timelines, vendors, booth assets, submissions, logistics, stakeholder communication, speaker preparation, and production quality. Track deliverables and deadlines across marketing, design, leadership, and external partners while supporting event ROI reporting and brand objectives. The role requires strong organization, cross-functional coordination, proactive communication, and familiarity with event booth production and project management tools.

Build and deploy predictive, statistical, causal, and machine learning models for loyalty programs, including churn, propensity, lifetime value, forecasting, uplift, and anomaly detection. Develop production features and data pipelines, design experiments, conduct causal analysis, and communicate insights to enterprise clients and cross-functional teams. Translate business questions into modeling solutions and actionable recommendations.

Develop and deploy AI-driven product features using machine learning, NLP, and generative AI. Build end-to-end ML pipelines, integrate models into production microservices and APIs, analyze data, optimize model performance, and contribute to testing, documentation, technical reviews, and cross-functional product delivery.

Own manual QA activities including test planning, test case creation, execution, result tracking, defect reporting, Jira dashboards, and defect closure validation. Apply SDLC, release-cycle, branching, and version-control knowledge to support reliable software testing. The role is designed for recent CS or IT graduates with manual-testing exposure, analytical ability, attention to detail, communication skills, and willingness to learn. Postman and API knowledge are advantageous.

Leads enterprise presales engagements for an AI-driven loyalty SaaS platform. Responsibilities include executive and technical demonstrations, discovery workshops, solution architecture, deal shaping, RFP and proposal support, demo strategy, competitive intelligence, sales enablement, and thought leadership. Partners with Sales, Product, Marketing, and Customer Success to translate complex platform capabilities into business value and support complex enterprise opportunities across industries.

Drive enterprise SaaS sales growth across the APAC region by developing account strategies, engaging C-suite executives, managing complex digital transformation deals, and achieving sales targets. Build relationships with enterprise customers, system integrators, resellers, and agency partners. Lead negotiations, identify buying stakeholders, articulate GRAVTY’s value, and coordinate cross-functional teams from initial pitch through successful implementation and value realization.

Lead product vision, strategy, roadmap, and lifecycle delivery for AI-first SaaS loyalty platform capabilities. Translate customer and market insights into priorities, requirements, launches, adoption plans, and measurable outcomes. Collaborate with Engineering, Design, AI/ML, QA, Sales, Marketing, and Customer Success, while creating product documentation and mentoring Product Managers. Drive AI-powered features using LLMs, agents, automation, or machine learning in production environments.

Entry-level Product Specialist supporting enterprise customers with GRAVTY loyalty platform implementations. Responsibilities include discovery workshops, requirements analysis, functional specifications, solution configuration, testing, UAT, go-live support, customer training, documentation, issue resolution, adoption, stakeholder management, and process improvement. The role combines business consulting, product expertise, and customer success while collaborating with Product, Engineering, QA, Analytics, and delivery teams.

As a Product Engineer intern, you will participate in the software development lifecycle, focusing on technical design, implementation, and optimization of solutions. You'll collaborate with various teams to understand customer needs and improve product performance.

Partner with multinational clients to analyze requirements, design loyalty strategies, oversee GRAVTY® implementations, deliver training, manage project documentation and SLAs, collaborate with product teams, and develop product marketing collateral to drive customer success.

Partner with multinational clients to gather requirements, define KPIs, develop business cases, and oversee GRAVTY® loyalty program implementations. Provide product expertise, deliver client training, manage project documentation and SLAs, collaborate with product management on features, and create product marketing collaterals to support go-to-market strategies.

Partner with enterprise customers to gather requirements, design and configure GRAVTY® loyalty solutions, support testing/UAT and go-live, train users, and ensure post-implementation adoption and optimization.

Lead discovery, validation, launch, and scaling of new consulting, managed-service, and technology-enabled loyalty offerings. Build market research, business cases, pricing, service blueprints, GTM materials, and launch readiness. Own post-launch roadmap, performance metrics, and practice incubation to a standalone unit. Collaborate cross-functionally with sales, marketing, product, engineering, delivery, and partners; support early pursuits and transition the practice to permanent leadership.

Lead end-to-end implementation of the GRAVTY loyalty platform for enterprise clients: gather requirements, configure solutions, manage integrations, run UAT and go-live, and provide post-production support. Act as a business consultant to define KPIs, translate needs into specs and user stories, enable users through training and demos, and liaise with Product, Engineering, QA and Delivery to drive adoption and product improvements.

As a Product Engineer intern, you'll manage the software development lifecycle, collaborating with teams to improve product features and performance.