Top Tech Jobs & Startup Jobs

Leads Loopio’s enterprise new-business sales organization, owning revenue growth, quota attainment, forecasting, and strategic planning. Manages and scales Enterprise Account Executive teams, recruits and coaches sales talent, improves onboarding and sales execution, and drives data-informed pipeline and deal optimization. Partners cross-functionally with Marketing, Product, and Customer Success, monitors market trends, strengthens organizational culture, and promotes AI and automation across sales workflows.

Lead product marketing strategy for Loopio’s multi-product, AI-native B2B SaaS portfolio. Own product narratives, go-to-market plans, pricing and packaging strategy, competitive positioning, win/loss analysis, messaging, and sales enablement. Partner with Product, Finance, Sales, Customer Experience, and executive leadership on launches and long-term market strategy. Serve as a market and customer voice, mentor product marketers, advise roadmap decisions, and represent Loopio externally.

Drive net-new SMB sales by prospecting, qualifying leads, delivering software demos, developing business cases, negotiating proposals, and closing opportunities. Manage prospects through the sales cycle, revive inactive opportunities, coordinate customer-success handoffs, and collaborate with Product to improve the platform. The role requires consultative B2B SaaS selling, multi-channel outbound prospecting, strong discovery and presentation skills, and effective use of AI and automation.

Manages a high-volume customer portfolio through digital-led engagement, product adoption guidance, health monitoring, and personalized communications. Builds success plays, email templates, webinars, and in-app guidance using Gainsight. Partners with Product, Customer Experience, Enablement, Adoption Services, Renewals, and Education teams to improve customer outcomes, reduce churn, support renewals, and drive account growth.

Build production knowledge graphs, AI agents, and agentic retrieval systems that transform unstructured content into reliable knowledge. Define evaluation methods, improve model quality using user feedback, and guide build-versus-buy decisions. Collaborate with Product, Engineering, and AI teams to ship customer-facing features. Mentor engineers and data scientists, establish experimentation standards, and set technical direction across applied machine learning initiatives.

Drive new business revenue within the enterprise segment by prospecting, managing complex multi-stakeholder sales cycles, delivering product demonstrations, negotiating proposals, and closing large opportunities. Build strategic partner relationships, self-source accounts, maintain accurate forecasts, meet sales targets, and collaborate with Customer Experience and Product teams to support customer success and platform improvements.

Lead architecture and end-to-end delivery of complex web-platform features while building reusable frameworks, APIs, tooling, and safeguards. Partner with ML teams to productionize AI agents and knowledge-graph capabilities, evaluate models, and establish evaluation standards. Drive cross-team technical decisions, collaborate with product and design, engage customers, and mentor engineers. The role requires hands-on backend and frontend development, cloud infrastructure expertise, scalable system design, and experience integrating modern AI technologies.

Lead end-to-end development of scalable platform features, reusable frameworks, shared libraries, automated tests, and cloud-native services. Collaborate with ML teams to productionize AI agents and knowledge-graph capabilities, evaluate models, and establish agentic workflow guidelines. Design backend APIs and databases, contribute to frontend development, troubleshoot defects, mentor engineers, guide technical decisions, and gather customer feedback. Collaborate globally across India, the UK, Canada, and North America.

Own Salesforce administration, configuration, optimization, workflow automation, reporting, dashboards, support, documentation, and release management for revenue teams. Partner with Sales, Marketing, CX, IT, and Revenue Operations stakeholders to translate business needs into scalable technical solutions. Lead process improvement projects, resolve root causes, evaluate platform features, and serve as the organization’s Salesforce subject matter expert.

Respond to inbound prospects, answer product questions, conduct discovery calls, qualify leads, and convert qualified prospects into opportunities for Account Executives. Nurture prospects, analyze sales and marketing metrics, improve inbound sales processes, and collaborate with Sales and Marketing teams on communication strategies and demonstrations.