The Manager will lead the night shift Data Operations team by providing mentorship, coaching, and performance management to ensure operational excellence. They are responsible for developing operational strategies, optimizing workflows through automation, and maintaining high quality standards through rigorous reporting and analysis.
The Enterprise Account Executive is responsible for driving new customer acquisition and managing complex sales cycles within the North American market. They will collaborate with internal teams to develop tailored solutions and ensure revenue targets are met through strategic account management.
You will lead the backend engineering team in designing and operating scalable systems that integrate generative AI and LLMs into search products. This involves ensuring the reliability, observability, and cost-efficiency of AI-powered features while translating complex data into actionable insights.
The Data Operations Specialist will manage and audit location data using proprietary tools to ensure accuracy and quality standards. They will also provide expert support to clients to resolve discrepancies and increase customer satisfaction.
You will lead impactful projects within the SaaS solution and design scalable software architecture. You will also collaborate with cross-functional teams to implement distributed services and ensure platform availability through high-quality code.
You will define and execute the product strategy for AI-powered features and growth initiatives while leading a global team of product managers. The role involves collaborating cross-functionally to drive product-led sales and ensure the successful delivery of innovative AI-native solutions.
You will lead a cross-functional team of engineers to build and maintain customer-facing data APIs, analytics products, and reporting datasets. Additionally, you will act as a player-coach, managing team growth and culture while remaining hands-on with architecture and code.
The Solutions Consultant will lead GEO audits, deliver product demos, and provide ongoing consulting to help clients optimize their visibility in AI-driven search. They will partner with sales teams to translate technical findings into compelling business narratives that drive deal momentum.
Lead the design and development of shared libraries, Spring Boot starters, and agentic frameworks to enable internal teams to build AI agents. Mentor product teams in Python-based AI development and establish standards for agent orchestration, evaluation, and guardrails.
