Top Tech Jobs & Startup Jobs in Pune

Leads SAP PP, QM, and PM solution design, configuration, integration, testing, deployment, and post-go-live support. Designs manufacturing, quality, and plant maintenance processes across discrete, process, and repetitive environments using S/4HANA, Fiori, and SAP Best Practices. Collaborates with clients, stakeholders, and technical teams on requirements, workshops, functional specifications, interfaces, RICEFW developments, defect resolution, and process improvements. Requires cross-module integration expertise and travel to client locations as needed.

Lead end-to-end implementation of enterprise healthcare SaaS solutions, including discovery, requirements gathering, product configuration, UAT, troubleshooting, stakeholder coordination, go-live, and post-launch stabilization. Partner with healthcare clients and internal Product, Engineering, Customer Success, and Support teams. Provide workflow guidance, manage risks and dependencies, support adoption, and improve implementation processes while building strong client relationships.

Lead ServiceNow software asset management development and implementation. Manage SAM Pro, software asset lifecycles, license compliance, reconciliation, entitlements, normalization, and license metrics. Configure and develop JavaScript, Glide API, business rules, client scripts, script includes, workflows, integrations, and MID Server solutions. Support end-to-end SAM implementations and migrations while integrating CMDB and ITAM processes.

Develops new industrial paint business, manages key accounts, achieves sales targets, presents coating products, negotiates pricing and contracts, maintains CRM forecasts, resolves technical customer issues with application teams, supports order fulfillment, gathers product feedback, and manages collections and receivables.

Design, build, and maintain scalable data pipelines and ETL/ELT solutions using Microsoft Azure Fabric, Databricks, and Azure data services. Translate business requirements into technical solutions, optimize data workflows for performance and cost, troubleshoot production issues, and collaborate with architects, analysts, developers, and global stakeholders. Use AI-assisted development and automation to improve engineering productivity while owning delivery quality, timelines, and outcomes.

Manages the operational backbone of a B2B SaaS sales organization using PLG and Sales-Assist models. Leads Sales Operations staff, Salesforce administration, reporting, automation, data quality, lead routing, attribution, forecasting, and system integrations. Partners with BDR and AE teams to improve pipeline quality, conversion, and productivity. Builds scalable workflows, SOPs, dashboards, and enablement programs while translating sales data into recommendations for leadership.

Design, develop, and optimize scalable data platforms, pipelines, and processing workflows supporting analytics, business intelligence, and AI applications. Build solutions with Databricks and cloud technologies, integrate structured and unstructured data, implement quality and governance practices, optimize architectures, and support production deployment and monitoring. Collaborate with cross-functional teams to translate business requirements into reliable technical solutions and troubleshoot complex data challenges.

Own and optimize global paid acquisition and remarketing campaigns across mobile app and other channels. Manage campaign setup, bidding, targeting, pacing, creative rotation, tracking, budgets, and structured testing. Analyze CAC, ROAS, LTV, revenue, attribution, and incrementality to improve acquisition and retention. Partner with Creative, Product, Data, and Engineering on ads, landing pages, measurement, and campaign recommendations.

Lead a remote international sales team and drive revenue growth through sales strategy, KPI management, funnel optimization, process improvement, coaching, recruitment, and performance management. The role oversees sales workflows, productivity, customer experience, reporting, and operational compliance while collaborating with senior leadership to improve conversion, efficiency, and team capabilities.

Analyze and transform structured and unstructured data, identify trends, create reports and dashboards, and apply statistical and machine learning techniques. Support AI initiatives, model development, data quality validation, and deployment of analytical solutions. Collaborate with business and technical stakeholders to translate requirements into data-driven applications using .NET technologies, while documenting processes and maintaining analytical outputs.