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.
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.
Design end-to-end product experiences across the Weave platform, translating complex operational needs into intuitive and accessible workflows. Collaborate with Product and Engineering teams to define product strategy, conduct user research, and maintain high design standards through the full product lifecycle.
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 architect and lead the transition to a modern, globally distributed Identity and Access Management platform using Go and SpiceDB. Additionally, you will own the identity lifecycle, authorization strategy, and operational excellence for the Users 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.
Lead sales and upsell funnel analytics to identify growth opportunities and monitor PMS integration health. Design and maintain scalable dashboards and KPI frameworks to provide actionable insights for stakeholders across Finance, Product, and Sales.
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.
Manage and optimize a distributed cloud-based VoIP platform using tools like Kamailio and FreeSWITCH. Develop Golang-based microservices and implement observability for SIP/RTP flows to ensure high call quality and reliability.
Generate new business opportunities with pharmaceutical companies, biotechs, and CROs to drive adoption of an AI-powered regulatory platform. Manage the full sales cycle from lead generation and qualification to contract negotiation and closing.
Generate new business opportunities with pharmaceutical companies, biotechs, and CROs to drive adoption of an AI-powered regulatory platform. Manage the full sales cycle from prospecting and 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.
Lead and mentor a cross-functional team of Salesforce developers and QA engineers in India to deliver scalable technical solutions. Serve as the primary technical liaison between US and India teams while owning architectural decisions for CPQ, Billing, and Revenue Cloud.
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.
The role involves designing and developing machine learning infrastructure, tooling, and models to enable teams to deliver world-class experiences and build internal platforms for incorporating AI features. You will also consult with teams on machine learning patterns, tradeoffs, and guide them through creating excellent end-to-end customer experiences.
