You will support the operational and administrative activities of the Channels and Partnerships area to ensure team efficiency. This includes maintaining documents, assisting with partner inquiries, and participating in professional development training.
You will support the CS Enablement team with operational routines, training organization, and internal communications. This includes managing training agendas, creating and updating educational materials, and maintaining knowledge repositories.
Manage and develop a portfolio of partners to drive revenue growth and expand the active partner base. Conduct consultative sales, negotiate complex deals, and strengthen strategic relationships with large agencies.
Support customer marketing strategies focused on engagement, relationship building, and retention across the customer journey. Execute initiatives including community management, events, and customer advocacy programs in collaboration with cross-functional teams.
You will be responsible for the evolution of reliability practices, standardization, and automation of the infrastructure. This includes operating critical workloads, managing incidents, and improving observability to support engineering teams.
The analyst will manage a portfolio of approximately 180 customers to ensure effective product adoption, engagement, and retention during their first year. They will use data-driven insights and automated strategies to identify growth opportunities and mitigate churn risks.
The role involves supporting lead generation and data enrichment for the pre-sales team while managing operational controls and reporting. You will also diagnose sales funnel opportunities and propose process optimizations to improve operational efficiency.
The analyst will perform onboarding for new clients and partners, diagnosing business needs and defining initial objectives. They will also manage multiple implementation projects, ensuring client autonomy and satisfaction through strategic platform setup and support.
Develop and evolve scalable technical solutions with a focus on code quality, readability, and performance. Maintain production systems by monitoring health, resolving incidents, and contributing to platform reliability.
Lead the data engineering team to drive high performance and strategic goal alignment. Foster a data-driven culture while ensuring team autonomy, psychological safety, and operational excellence.
Develop scalable backend services, APIs, and integrations to optimize product adoption journeys within the PLG team. Act as a technical reference to ensure high quality, performance, and observability of the backend engine.
Develop scalable backend services, APIs, and integrations to optimize product adoption journeys within the PLG team. Act as a technical reference to ensure high quality, performance, and observability while utilizing AI to accelerate delivery.
The role focuses on structuring and automating processes at the intersection of Revenue Operations, ABM, and AI to optimize pipeline generation. Key duties include building AI agents for account segmentation, creating multichannel outbound workflows, and monitoring performance indicators.
Administer and evolve Gainsight CS functionalities, including Rules Engine, Scorecards, and Journey Orchestrator to support Customer Success operations. Implement end-to-end improvements, system integrations, and explore AI opportunities to optimize the revenue cycle from acquisition to expansion.
Manage and evolve the Gainsight CS environment and integrate it with Salesforce, BigQuery, and Segment to support the retention squad. Design and implement end-to-end solutions for Customer Success processes including health scores, playbooks, and revenue expansion.
Develop and maintain full-stack features for the Billing system, ensuring efficient APIs and a scalable frontend. Influence architectural decisions and provide technical mentorship to the engineering team to maintain high standards of excellence.
The role focuses on managing CRM operations by connecting data, tools, and processes to ensure a scalable and efficient communication operation. Key duties include governing customer data, optimizing segmentation architectures, and implementing AI solutions to automate repetitive tasks.
The Product Manager will define and lead product strategy aligned with business objectives, structuring and leading discovery processes while prioritizing the backlog based on impact and feasibility. Collaboration with engineering, design, and stakeholders is essential to transform product vision into tangible results.
You will be responsible for planning and prioritizing the backlog, conducting structured discovery processes, and validating hypotheses through agile experiments. Additionally, you will engage stakeholders around the roadmap and monitor key metrics to identify growth opportunities.
