Lead and mentor a team of backend engineers while owning the technical architecture and roadmap for mobile-first products. Drive high-impact initiatives to improve system performance, scalability, and reliability on AWS.
Manage a portfolio of 15–25 enterprise and multiproduct accounts, building senior stakeholder relationships and driving customer satisfaction, retention, product adoption, and account expansion. Lead internal account teams, monitor customer health and performance metrics, identify risks and growth opportunities, and align product value with customers’ business goals.
You will act as a consultant to supplier networks, driving vendor onboarding and solution expansion for retail partner campaigns. Additionally, you will manage warm leads, handle objections, and collaborate with account teams to identify up-sell and cross-sell opportunities.
The Associate Account Executive will manage warm leads to drive vendor onboarding and solution adoption for retail partners. They are responsible for maintaining pipeline velocity in Salesforce and collaborating with account teams to identify upsell and cross-sell opportunities.
The Strategic Account Executive will drive market expansion by managing the full end-to-end sales cycle for enterprise retailers and distributors. They will build long-term relationships with executive stakeholders and develop quantified business cases to demonstrate solution ROI.
Develop and execute strategic business plans to cultivate partnerships with software companies and independent partner communities. Manage performance metrics, drive joint marketing initiatives, and ensure consistent quota attainment through effective ecosystem expansion.
The Account Executive is responsible for driving a prescriptive sales process, managing a defined territory, and acquiring new business through prospecting and lead engagement. They will also nurture existing client relationships to drive upsell and cross-sell opportunities while maintaining accurate pipeline documentation in Salesforce.
The Account Executive is responsible for driving a prescriptive sales process, managing a defined territory, and acquiring new business through prospecting and lead engagement. They will also nurture existing client relationships to drive upsell and cross-sell opportunities while maintaining accurate pipeline data in Salesforce.
The Account Executive is responsible for driving a prescriptive sales process to acquire new business and manage a defined territory. They will nurture prospects, manage the sales pipeline, and collaborate with internal teams to ensure customer success and upsell opportunities.
The Account Executive will manage a defined sales territory to generate new business through prospecting, networking, and cold calling. They are also responsible for maintaining a 90-day pipeline, managing existing accounts for upsell/cross-sell opportunities, and ensuring customer satisfaction.
The Account Executive is responsible for driving a prescriptive sales process, managing a defined territory, and acquiring net new business. They will also nurture existing client relationships, manage a 90-day pipeline, and collaborate with internal teams to ensure customer success.
The Account Executive is responsible for driving a prescriptive sales process, managing a defined territory, and closing new business opportunities. They will also nurture existing client relationships to drive cross-sell and upsell revenue while maintaining accurate pipeline documentation in Salesforce.
The Account Executive will drive a prescriptive sales process to identify, develop, and close new business opportunities within a defined territory. They are responsible for nurturing prospects, managing a rolling 90-day pipeline, and collaborating with internal teams to ensure customer satisfaction and successful implementation.
The Account Executive will drive the sales process by prospecting for new clients and managing a defined sales territory. They will collaborate with account teams to ensure customer satisfaction and transition new business to the implementation team.
Lead the design, implementation, and optimization of scalable Databricks-based data platforms, including lakehouse deployments, legacy migrations, and production data pipelines. Advise clients and delivery teams on architecture, technical execution, troubleshooting, documentation, and best practices for enterprise analytics and AI initiatives.
You will lead the end-to-end design, implementation, and optimization of scalable data platforms using Databricks and modern cloud ecosystems. Additionally, you will partner with client stakeholders to migrate legacy systems and drive high-impact data engineering and AI initiatives.
You will design, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks, Python, and SQL. Additionally, you will collaborate with cross-functional teams to optimize data workflows and support data analysts and scientists in delivering high-quality data solutions.
You will build end-to-end product features across the frontend, backend, and AI integrations while designing multi-step agent workflows. Additionally, you will partner with ML and backend teams to architect scalable systems that ensure reliability and high performance for AI-native applications.
Design and build core machine learning systems for a proactive AI platform while taking end-to-end ownership of projects. Partner with research and engineering teams to translate research concepts into reliable, production-grade systems.
Design and build core machine learning systems for a proactive AI platform while taking end-to-end ownership of projects. Partner with research and engineering teams to translate research into reliable, production-grade systems that optimize for latency and scale.
You will own the native client experience for AI-native productivity applications, ensuring high performance and reliability. You will also collaborate with ML and backend teams to integrate intelligent features and define system architectures.
You will build and operate scalable backend systems that serve AI-powered features, including designing high-performance inference pipelines and orchestration workflows. Additionally, you will own system health, observability, and optimize system latency and throughput for mobile and desktop applications.
Build and operate scalable backend systems that serve AI-powered features in production. Design high-performance inference pipelines and orchestration workflows while ensuring system health and observability.
Manage end-to-end recruitment projects including sourcing, shortlisting, and interviewing candidates. Develop and maintain client relationships while providing market intelligence and competitor analysis.
Manage end-to-end recruitment projects including sourcing, shortlisting, and interviewing candidates. Develop and maintain client relationships while providing market intelligence and competitor insights.
You will build and maintain high-performance native Android applications using Kotlin while integrating intelligent AI features like chat, vision, and voice. Additionally, you will architect user experience patterns for real-time interactions and optimize app performance for resource-intensive tasks.
You will own the inference and orchestration layer for AI-native applications, building scalable systems that power intelligent features. This includes designing high-performance pipelines, ensuring system observability, and optimizing for latency and cost efficiency.
You will own the inference and orchestration layer for AI-powered features, ensuring high-scale production reliability and performance. Responsibilities include designing high-performance pipelines, optimizing system latency, and maintaining observability across distributed services.
You will own the native client experience for AI-native productivity applications, focusing on performance, reliability, and seamless integration of intelligent features. You will collaborate with ML and backend teams to architect robust systems and optimize mobile performance for a high-quality user experience.
Design and build core machine learning systems for a proactive AI platform while taking end-to-end ownership of projects from data curation to production deployment. Partner with research and engineering teams to optimize model architectures for reliability, latency, and safety at scale.
