Top Remote Senior Level Jobs in Indianapolis, IN

Provides technical support to customers by diagnosing software, hardware, and service issues, resolving escalations, interpreting REST API requests and responses, and identifying root causes. Collaborates with engineering and internal teams to deliver solutions, supports e-commerce shipping and tracking customers, and communicates effectively with audiences of varying technical expertise.

Support and execute daily treasury operations including cash positioning, liquidity tracking, bank account administration, and routine treasury transactions. Prepare treasury reports, reconciliations, and short-term cash forecasts. Maintain treasury records, support compliance and audit requests, assist with process and system updates, and contribute to process improvements and training.

Performs end-to-end billing and revenue accounting under IFRS 15 and ASC 606. Responsibilities include contract review, revenue recognition, billing validation, reconciliations, month-end close, reporting, audit support, data analysis, internal controls, and process automation. Partners with Finance, Sales, Legal, IT, and Operations to improve billing systems, resolve discrepancies, implement enhancements, and standardize global revenue processes.

Lead design, implementation, integration, and lifecycle management of enterprise IIoT/SCADA telemetry platforms. Build telemetry models, alarm strategies, and ingestion pipelines; troubleshoot complex OT systems; integrate OT with enterprise and cloud services; produce documentation and standards; mentor engineers; support upgrades, capacity planning, and multi-site deployments to improve reliability and operational visibility.

Own the full sales cycle for cloud-based software serving fire and EMS agencies, from prospecting and consultative discovery through solution design, proposals, negotiation, and closing. Build strategic pipelines, manage forecasts and CRM hygiene, navigate complex public-sector procurement, and engage chiefs, IT leaders, procurement teams, and other stakeholders. Collaborate with Sales Engineering, Marketing, Implementation, and Customer Success to support successful onboarding, adoption, and revenue growth.

Own the full sales cycle for cloud-based public safety software, from prospecting and discovery through solution design, proposals, negotiation, and closing. Build strategic pipelines, manage complex government accounts, align solutions with operational needs, forecast accurately, and collaborate with sales engineering, marketing, implementation, and customer success. The role requires consultative SaaS selling, executive relationship management, public-sector procurement expertise, quota achievement, and disciplined CRM and pipeline management.

Own the full enterprise sales cycle for cloud-based software serving fire and EMS agencies. Responsibilities include prospecting, multi-stakeholder discovery, consultative solution positioning, proposals, negotiations, closing, pipeline development, forecasting, CRM management, and cross-functional collaboration. The role requires navigating complex public-sector procurement, building executive relationships, exceeding quotas, and expanding EPR’s GovTech presence.

Analyze large, multi-source datasets to identify trends, risks, opportunities, and performance drivers. Build Power BI dashboards, reports, KPI scorecards, and analytics-ready datasets using SQL. Partner with business leaders and stakeholders to clarify questions, evaluate initiatives, maintain data quality, and develop actionable recommendations. Present insights through clear visualizations and data storytelling, while managing multiple analytics assignments and contributing to team best practices.

Develops and closes new and repeat business for genomics, IHC, proteomics, and flow cytometry services. Responsibilities include prospecting pharma and biotech customers, presenting scientific service solutions, coordinating strategic meetings with senior scientific leaders, managing a 25–50+ opportunity pipeline, evaluating project feasibility, advancing deals, reporting market intelligence, collaborating with scientific and commercial teams, and traveling up to 50%.

Partner with clients to design healthcare data science solutions, curate multimodal clinical datasets, and conduct statistical, predictive, causal inference, real-world evidence, and AI/ML analyses. Responsibilities include querying EMR and other health data sources, creating statistical analysis plans, managing SQL and analytical programming, ensuring HIPAA-compliant data quality, documenting findings, and presenting results to technical, clinical, and executive audiences.

Lead a 15-person Container Product Engineering team building hardened container images, registry services, build systems, adoption tooling, and compliance features. Own team outcomes, hiring, coaching, roadmap execution, technical quality, delivery, planning, and cross-functional collaboration. Remain hands-on through code and design reviews while guiding AI-native engineering practices. The role partners with product and platform teams and offers a path toward broader Director-level scope.

Leads Juniper Square’s expansion sales and Powered Admin Services functions. Owns expansion quota and personal deals, builds installed-base pipeline and whitespace analysis, establishes qualification and account-handoff processes, develops the administrator partnership channel, hires and coaches expansion sellers, and manages sales dashboards and operating cadence. Partners closely with Customer Success, Fund Administration, RevOps, Marketing, Product, and Partnerships while using AI to automate revenue workflows and improve account targeting.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery, architecture reviews, agile delivery, testing, production readiness, launch, adoption, and strategic handoff. Build C-suite relationships, translate business needs into technical requirements, resolve delivery risks, and identify future high-value opportunities.