Jobs at Sun King

Leads global product marketing for PAYG phones, including positioning, portfolio strategy, launches, GTM execution, campaigns, digital acquisition, customer journey optimization, market intelligence, sales enablement, and cross-functional coordination. The role supports country teams and partners across emerging markets while optimizing marketing performance, customer adoption, usage, renewals, and revenue growth.

Lead partnership sales across North and South India by onboarding and managing business partners, achieving sales targets, developing new channels, building prospect pipelines, conducting customer demonstrations, and strengthening client relationships. The role includes strategic sales planning, CRM adoption, customer experience monitoring, field audits, partner activation, and frequent travel. Candidates need 5+ years of B2B, institutional, partnership, or CSR-focused sales experience, regional language skills, and willingness to relocate to Bengaluru or Hyderabad.

Lead global customer lifecycle and CRM strategy to drive engagement, retention, repeat purchases, and LTV. Design automated journeys, execute multi-channel CRM campaigns (WhatsApp, SMS, Email, RCS, Push, In-app), manage MarTech platforms, perform segmentation and measurement, optimize performance through testing, and partner cross-functionally to implement integrations and new channel capabilities.

Designs and executes functional, regression, integration, UI, and API testing; develops automation frameworks; tracks and analyzes defects; integrates tests into CI/CD pipelines; validates production issues and hotfixes; collaborates with developers on fixes; participates in design reviews; maintains QA documentation; and improves testing processes, coverage, reliability, and release confidence.

Build and manage AWS infrastructure, Kubernetes deployments, GitOps CI/CD pipelines, data stores, observability systems, and incident response processes. The role supports multiple engineering and data teams, including managing MongoDB and Elasticsearch clusters, Grafana and Prometheus monitoring, IAM services, and scalable, highly available cloud-native systems.

Develop and maintain backend applications for field team operations. Responsibilities include designing systems and data models, resolving bugs and bottlenecks, writing unit-tested reusable code, integrating internal and external tools, and collaborating with product managers on system design. The role requires Core Java, object-oriented programming, SQL databases, web-service integration, and RESTful APIs, with Git and Spring or Hibernate experience preferred.

Own application security across mobile apps, APIs, microservices, cloud infrastructure, AI products, and third-party integrations. Responsibilities include threat modeling, architecture reviews, penetration testing, secure coding, vulnerability management, incident response, SSDLC onboarding, CI/CD security tool integration, cloud hardening, developer training, and communicating risk. The role also assesses AI and LLM security risks and develops production guardrails and automation.

Own the quality engineering strategy and platform across Android, web, API, and backend systems. Design and maintain comprehensive manual and automated testing for complex distributed architectures, lead root-cause analysis, define quality metrics, integrate testing into CI/CD, and certify releases and production hotfixes. Collaborate with product, engineering, and DevOps teams, conduct QA automation code reviews, identify production risks, monitor field issues, and mentor junior quality engineers.

Designs and maintains SAP-integrated ETL/ELT pipelines connecting ECC, S/4HANA, BW/4HANA, and cloud data platforms. Responsibilities include SAP data extraction, transformation, real-time integrations, dimensional modeling, database optimization, data quality monitoring, alerting, cost optimization, and documentation. The role partners with functional consultants, BI teams, FP&A stakeholders, and business leaders while developing cloud skills across AWS services such as Glue, Lambda, Airflow, and Redshift.

The Cyber Risk Analyst will drive cyber security audits, manage vendor security reviews, and support business continuity and compliance frameworks.

Lead regional sales for solar/grid-tied inverter products in Varanasi, mentor Area Business Managers, generate and convert leads, build channel partnerships, manage customer relationships, and use company sales software to meet growth and targets.

Design and build scalable backend systems and AI-powered solutions (LLMs, RAG, retrieval, agents). Own projects end-to-end, optimize performance, drive AI engineering standards, mentor engineers, and integrate AI with enterprise systems.

The Senior Product Manager will lead product roadmaps, mentor teams, manage execution, collaborate with engineering, and monitor product performance across multiple regions.

Lead AI-first product work across discovery, prototyping, documentation, execution, automation, and analytics. Work with stakeholders to identify pain points, build LLM-based proofs of concept, create handoff-ready specs, coordinate releases and rollouts, and track adoption. Automate repetitive processes and use data to drive product usage. Role is remote India with travel to Sun King markets.

The Software Engineer - Infrastructure will improve IAC and incident response, manage AWS services, deploy Kubernetes resources, and design CI/CD pipelines.

Own and automate end-to-end incentive calculation pipelines, translate business rules into auditable data workflows, build monitoring and reconciliation dashboards, ensure accuracy and auditability across multiple products and countries, and partner with Sales, Finance, and field teams to resolve discrepancies and support escalations.

The role involves managing end-to-end operations including warehousing, logistics, inventory management, and SAP transactions while optimizing costs and improving processes across multiple locations in India.

Design, train, optimize, and productionize deep learning models for speech/audio and computer vision. Build scalable training pipelines, perform model inference optimization, integrate models into production services, monitor performance, and collaborate with software and product teams to deliver low-latency, reliable ML features.

Lead the Data Desk: triage and route L1/L2 requests, perform code reviews for junior analysts, drive automation and self-service dashboards, run daily operations and people development, and ensure data quality and SLA adherence.