The Event/Field Account Executive is responsible for traveling to trade shows to set up booths, sell products, and generate leads. They must manage sales targets, conversion rates, and follow-up activities while representing the company professionally in the field.
Define the product strategy, roadmap, and measurable outcomes for Call Intelligence within the Analytics domain. Lead discovery with customers and internal teams while partnering with engineering, data, and design to ship reliable AI-assisted workflows.
You will build and maintain features for desktop clients using web technologies while collaborating within a cross-functional, autonomous team. You are responsible for the long-term code quality and contributing to the underlying platform and libraries.
Manage the end-to-end interview scheduling process for candidates, recruiters, and hiring managers. Support the recruitment team with candidate outreach, sourcing, and maintaining accurate data within the Applicant Tracking System.
The Senior Customer Success Manager will lead onboarding, training, and platform customization for customers using the AI-driven regulatory submission platform. They will also act as a key advocate for accounts, driving product adoption and providing feedback to the product team to support business growth.
You will lead technical implementation and customer onboarding by configuring AI-driven regulatory templates and mapping complex data flows. Additionally, you will coach customers on prompt engineering and collaborate with internal teams to ensure seamless integration with enterprise platforms.
You will architect and lead the transition to a modern, globally distributed Identity and Access Management platform. Additionally, you will own the identity lifecycle, authorization strategy, and the technical culture for the India-based infrastructure team.
You will design and develop scalable ML infrastructure and platforms to enable product teams to integrate AI-driven features into customer-facing applications. Additionally, you will provide strategic technical leadership, mentor engineering staff, and drive architectural coherence across cross-functional teams.
Design and develop machine learning infrastructure, tooling, and models to enable teams to build AI-powered applications. Consult with cross-functional teams to implement scalable, resilient services and translate product goals into actionable engineering plans.
Drive new business opportunities with pharmaceutical companies, biotechs, and CROs to increase adoption of an AI-powered regulatory platform. Manage the full sales cycle from prospecting and lead qualification to contract negotiation and closing.
Design and develop core data platform components to enable business process orchestration and scalable data integration services. Collaborate with stakeholders to translate product goals into actionable engineering plans while maintaining high-quality, testable code.
Design and develop scalable ML infrastructure and platforms to enable the integration of AI-powered features across the organization. Provide strategic technical leadership and mentorship to engineering teams to ensure architectural coherence and high technical standards.
You will design and develop machine learning infrastructure, models, and internal platforms to enable teams to build AI-powered features at scale. Additionally, you will consult with cross-functional teams to guide them through the data lifecycle and implement scalable, resilient services.
