Top Tech Jobs & Startup Jobs

Leads end-to-end software implementations, including requirements gathering, process analysis, system configuration, customization, training, testing, documentation, and deployment. The consultant manages client relationships, coordinates UAT and sign-off, translates business needs into technical requirements, collaborates with product and development teams, and proactively addresses implementation risks. Success requires delivering projects on time and within budget while ensuring client adoption and satisfaction.

Lead full-cycle, net-new enterprise sales across utilities, energy, telecom, and critical infrastructure. Build C-suite relationships, develop strategic account plans, close complex multi-year SaaS agreements, and create cross-sell and upsell opportunities. Partner with internal teams on proposals, pricing, and contracts; maintain Salesforce pipeline and forecasts; and represent customer needs internally. The role is remote across North America, with a hybrid option in Columbus, Ohio, and requires travel as needed.

Lead the full sales cycle for net-new enterprise SaaS opportunities across utilities, telecom, energy, and critical infrastructure. Build executive relationships, develop account-based strategies, close complex multi-year agreements, and create cross-sell and upsell opportunities. Partner with internal teams on proposals, pricing, contracts, and customer experience while maintaining accurate Salesforce pipeline and forecasting data. Travel to prospect meetings, customer engagements, conferences, and industry events as needed.

Supports HR operations and office administration, including recruitment screening, interview scheduling, onboarding, offboarding, employee engagement, training coordination, records maintenance, vendor management, office supplies, events, and employee inquiries. The role also handles calendars, travel bookings, invoices, petty cash, facilities coordination, and occasional finance support while maintaining confidentiality and collaborating with global teams.

Owns US and Canadian payroll, benefits administration, HRIS management, compliance, and People Operations infrastructure. The role leads two team members, manages Rippling configuration and integrations, oversees payroll tax and benefits compliance, supports leave and claims administration, and partners with Finance, Legal, IT, and executive stakeholders. Based in Pune, the position operates on US business hours and requires hands-on experience with multi-state and multi-province payroll in a scaling SaaS environment.

Design and own a unified data model for an AI-driven pipeline risk platform. Responsibilities include lakehouse and medallion architecture, geospatial modeling, entity resolution, ingestion patterns, governance, lineage, data quality, access controls, and traceability. Partner with data engineers, application engineers, and data scientists to implement schemas, pipelines, serving layers, and optimization strategies while maintaining clear architecture documentation.

Build and operate governed MLOps and LLMOps platforms on Databricks. Productionize ML and GenAI models, RAG pipelines, vector search, and inference services; implement CI/CD, data quality, security, lineage, observability, incident response, disaster recovery, and cost controls. Partner with data science, engineering, platform, product, and security teams to ensure reliable, secure, compliant, and cost-effective AI workloads across development, QA, and production environments.

Own and operate AWS, Azure, and Databricks infrastructure supporting data engineering, data science, and MLOps teams. Responsibilities include cloud provisioning, networking, IAM, Unity Catalog administration, security controls, infrastructure as code, platform onboarding, automation, cost management, compliance evidence, troubleshooting, and operational documentation. The role establishes secure DEV, QA, and PROD environments and serves as the primary escalation point for Databricks and cloud platform issues.

Build and maintain batch and streaming data pipelines across AWS, Azure, and GCP using Databricks, Spark, PySpark, SQL, and Delta Lake. Implement medallion architecture, CDC, SCD, data quality, governance, security, metadata, and lineage controls. Configure storage, orchestration, CI/CD, monitoring, troubleshooting, and performance optimization. Collaborate with architects, data scientists, engineers, analysts, and product teams while documenting pipelines, transformations, testing, and operational procedures.

Build governed Databricks Lakehouse foundations and productionize machine learning and GenAI solutions, including forecasting, anomaly detection, NLP, RAG, and predictive analytics. Develop reliable batch and streaming workflows, CI/CD, monitoring, governance, security, lineage, and semantic models. Collaborate with product, data, platform, and domain teams to deliver measurable customer value while meeting reliability, compliance, cost, and operational objectives.