Top Remote Senior Level Jobs in Indianapolis, IN

Lead technical accounting research and policy for complex transactions, debt/equity, ASC 606/820/946, and CIP. Maintain fixed asset ledger, support reporting, audits, and SOX controls, and partner with cross-functional teams on capitalization and financial disclosures.

Owns quarterly sales programs from account selection through execution, field activation, measurement, and revenue attribution. Coordinates sales, marketing, BDR, enablement, solutions engineering, business value, and partner teams around shared operating cadences. Builds the sales programs operating model, identifies pipeline and revenue gaps, develops executive buyer outcome maps, tracks progression metrics, and drives adoption across field sales teams.

Drive annuity sales growth across an Illinois territory by developing business strategies, executing sales plans, managing pipelines and forecasts, conducting advisor presentations, and building relationships with bank and broker-dealer partners. Collaborate with internal sales and consulting teams on complex opportunities, use CRM and technology to manage leads and client activity, and achieve defined territory sales goals. The role requires extensive travel, strong presentation skills, proven annuity wholesaling success, and relevant financial and insurance licenses.

Drive enterprise sales growth across the Pacific Northwest by owning the full sales cycle, from prospecting and qualification through demos, negotiation, and closing. Build territory pipeline, develop account strategies, engage CIOs and CISOs, manage complex technical sales cycles, and collaborate with Marketing, Product, and Customer Success. Contribute to the sales playbook and represent Harmonic at customer meetings and industry events.

Lead functional and system safety engineering for a Level 4 autonomous trucking platform. Responsibilities include hazard analysis, safety requirements, safety cases, risk assessments, FMEA, fault-tree and STPA analyses, ODD evaluation, verification and validation strategy, supplier coordination, launch readiness, incident analysis, and safety governance. The role partners across autonomy, hardware, software, vehicle integration, operations, fleet, and testing teams to ensure safety risks are identified, mitigated, traceable, and supported by evidence for deployment decisions.

Draft, review, and negotiate customer and vendor contracts, including subscription agreements, technology agreements, statements of work, amendments, NDAs, and order forms. Identify and communicate legal and business risks, support RFPs, maintain contract templates and workflows, and conduct research across corporate governance, employment, intellectual property, compliance, insurance, and data privacy matters. The role also improves legal processes and escalates novel issues under the direction of Senior Corporate Counsel.

Provides technical water-treatment expertise for data center cooling systems across North America. Reviews system designs and operating data, optimizes treatment programs, supports commissioning and root-cause analysis, identifies water and energy savings, leads technical trials, develops proposals and marketing materials, and trains internal teams. Requires engineering education, industrial water treatment or data center cooling experience, strong water chemistry knowledge, and approximately 50% travel.

The Staff Software Engineer will architect scalable systems, improve development tooling, drive observability, mentor peers, and enhance technical quality across teams.

Serves as the technical authority for metallurgy and metal joining. Develops and qualifies welding, brazing, and solid-state joining procedures; evaluates thermal cycles, microstructures, defects, and material properties; performs failure analysis; oversees metallurgical laboratory testing; leads R&D and process optimization; ensures compliance with ASME, AWS, API, and regulatory standards; and mentors engineering and production personnel.

Design, build, and maintain high-traffic production LLM serving systems. Optimize throughput, latency, and cost for open-source language models by tuning inference engines and GPU execution stacks. Troubleshoot and improve inference performance, and collaborate to scale efficient, reliable inference infrastructure.