Top Tech Jobs & Startup Jobs

The Senior Revenue Accountant will manage revenue recognition, billing operations, and ensure compliance with ASC 606 while collaborating with cross-functional teams.

As a Software Engineer, you'll collaborate with the R&D team to design and implement scalable infrastructure for automated research systems, ensuring enterprise compliance and contributing to product design.

The Sr. Sales Engineer provides technical support in the sales process, conducts product demonstrations, and leads proof-of-concept evaluations, aligning solutions with customer security needs.

Lead Android-first development of growth experiments and features, using AI-native workflows to design, implement, instrument, and analyze A/B tests. Ship performant, reliable Android experiences at scale, mentor teammates, participate in on-call, and codify AI-native engineering playbooks for broader adoption.

As the first AI Analyst, you'll build and deploy workflows and bots, integrate platforms, perform analytics, and enable users to utilize AI tools effectively.

As a Senior Software Engineer, you will design and develop user-facing products and back-office tools while collaborating with diverse teams to solve complex problems with innovative solutions.

Seeking a consultant with Microsoft and VMware expertise for Data Center migration projects on a six-month contract with a direct client.

Provide claims advocacy and oversight for property, casualty, and workers' compensation losses. Review and monitor claims, ensure accurate settlements, perform legal reviews and reserve analysis, mentor junior staff, prepare reports, liaise with clients and carriers, and conduct field inspections and trainings.

The Business Development Manager will drive revenue growth by pursuing new business opportunities in language services, managing the sales cycle, and maintaining client relationships.

Lead definition and evolution of cloud data architecture and analytics platform using a lakehouse approach. Design secure, scalable AWS data platforms, medallion data layers, data modeling standards, ETL/ELT and streaming pipelines, governance, observability, and AI/ML enablement. Drive tool selection, cross-team architecture reviews, mentor engineers, and enforce data security, compliance, and operational excellence across the organization.