Top Remote Jobs in Bangalore

Analyze business and operational performance across food delivery, services, and logistics. The role involves querying and validating data, investigating performance trends and root causes, modeling unit economics and profitability, evaluating pricing and promotional impacts, conducting cohort and retention analysis, and translating findings into actionable recommendations for stakeholders.

Designs, implements, and supports enterprise Microsoft Entra ID and Azure Active Directory IAM solutions. Responsibilities include user provisioning and synchronization, application onboarding, PingFederate migrations, authentication and authorization flows, Conditional Access policies, application roles, automation, troubleshooting, documentation, and security vulnerability mitigation. Requires strong expertise in Entra ID, Azure AD, PingFederate, SAML, OAuth, OpenID Connect, PowerShell, and security best practices.

Own Jetpac’s social media presence across Instagram, Facebook, and emerging platforms. Develop the long-term strategy, publish daily content, manage campaigns, build community engagement, identify growth opportunities, and integrate organic and paid marketing. Track KPIs, analyze performance, report insights to leadership, and collaborate with creative, performance marketing, and cross-functional stakeholders to strengthen the brand across global markets.

Own technical direction and hands-on execution for major products, systems, and engineering initiatives. Design scalable systems across backend, frontend, APIs, databases, and infrastructure; write and review code; lead architecture decisions; solve production issues; convert ambiguous problems into technical plans; improve engineering quality; and mentor engineers across teams.

Partner with sales teams to win and expand enterprise customers by owning technical sales activities. Assess customer requirements, conduct product demonstrations and proofs of value, respond to RFPs and RFIs, build stakeholder relationships, and communicate Chainguard’s security benefits. The role also supports webinars, conferences, marketing initiatives, feature requests, and customer education while serving as a trusted technical advisor.

Design and scale transportation analytics and tooling to optimize network performance and reduce shipping costs. Build dashboards, routing/ship-speed optimizers, chargeback/dispute systems, and cost benchmarking engines. Deliver predictive and real-time KPIs, automate processes, improve data accuracy, and provide fast ad-hoc decision support for cross-functional stakeholders.

Build talent pipelines for specialist and hard-to-fill global roles, conduct talent market and competitor research, and provide insights on availability, compensation, and hiring trends. Source and engage candidates through professional networks and databases, maintain ATS and CRM records, support workforce planning and employer branding, and develop data-driven sourcing and candidate engagement strategies. The role partners with recruiters, hiring managers, and global stakeholders while ensuring data accuracy, compliance, and confidentiality.

Build talent pipelines for specialist and hard-to-fill roles across global markets. Conduct talent mapping, market research, salary benchmarking, and competitor intelligence; source and engage candidates through professional networks and databases; maintain ATS and CRM records; develop passive talent engagement strategies; provide recruitment insights and reporting; support employer branding; and improve sourcing processes, compliance, and candidate experience.

Develop and onboard strategic partners, build partnership pipelines, generate new business opportunities, and support partner-led revenue growth. The role involves stakeholder relationship management, partner enablement, forecasting, reporting, industry events, and collaboration across internal teams. Success is measured by new partner acquisition, pipeline creation, revenue generation, onboarding, engagement, and achievement of business objectives.

Develop, deploy, and maintain scalable AI/ML pipelines and production systems, including LLMs and generative AI models. Collaborate with data scientists, software engineers, architects, and clients to integrate AI capabilities into products. Optimize model performance, latency, and cost on AWS, GCP, and Azure, using Docker, Kubernetes, CI/CD, monitoring, versioning, and other MLOps practices.