The Key Account Manager will own the full sales cycle for Enterprise and Mid-Market prospects, converting qualified leads into closed business. They will lead executive-level discovery and value-based presentations to connect IIoT tank-monitoring solutions to customer business challenges.
The Key Account Manager will own the full sales cycle for Enterprise and Mid-Market prospects, converting qualified leads into closed-won business. They will lead executive-level discovery and value-based presentations to demonstrate ROI while coordinating with technical teams to ensure successful implementation.
The Lead-to-Value Product Manager will own the end-to-end product roadmap and backlog for the company's L2V program, integrating five parallel business initiatives into a coherent strategy. This role involves managing cross-workstream dependencies, defining adoption metrics, and partnering with executive sponsors to drive sales velocity and operational efficiency.
The Sales Director will own the full sales cycle for Enterprise and Mid-Market prospects, converting qualified opportunities into closed-won business. They will lead executive-level discovery and value-based presentations to connect IIoT solutions to customer business challenges.
The Sales Director will own the full sales cycle for Enterprise and Mid-Market prospects, converting qualified leads into closed-won business. They will lead executive-level discovery and value-based presentations to connect IIoT solutions to customer business challenges.
The Product Manager will own the discovery and delivery lifecycle for the Anova Unify mobile platform, managing the product backlog and partnering with engineering to ship high-quality features. They will conduct deep customer research to define product strategy and ensure measurable value realization through data-driven decision-making.
You will own end-to-end software solutions for a real-time industrial IoT telemetry platform, from framing business problems to production deployment. You will also design data pipelines, implement forecasting and anomaly detection, and mentor team members on engineering best practices.
