Jobs at Anova

Own the full enterprise and mid-market B2B sales cycle for IIoT tank-monitoring solutions, from qualified opportunity through contract close, renewal, and expansion. Lead executive discovery, ROI presentations, forecasting, negotiations, demos, and technical coordination with Sales Engineering and Customer Success. Build new-logo pipeline, maintain Salesforce data, support escalated customer issues, and represent Anova at customer meetings and industry events. Travel is required as needed.

Own the full sales cycle for enterprise and mid-market B2B prospects in the fuels and lubricants sector. Build pipeline, conduct executive discovery, deliver ROI-based presentations, negotiate contracts, manage forecasts, and close new logos. Partner with BDRs, Sales Engineers, and Customer Success Managers on qualification, demonstrations, implementation handoffs, renewals, expansions, and escalated support. Maintain Salesforce data, position Anova’s IIoT monitoring solutions, and travel as needed for customer meetings and industry events.

Own the end-to-end Lead-to-Value product roadmap, backlog, metrics, dependencies, and executive reporting across CRM, ERP, field operations, and billing workstreams. The role coordinates cross-functional business owners, implementation partners, analytics, AI, and engineering teams to improve sales, order, installation, and billing outcomes. Responsibilities include build-versus-buy decisions, integration specifications, dependency management, AI sequencing, workspace governance, and establishing a measurable operating cadence.

Own the strategy, roadmap, discovery, go-to-market, adoption, and business outcomes for Anova Unify’s Integrations and API product domain. Partner with engineering on APIs, data models, architecture, AI capabilities, and connected hardware constraints. Drive customer value, retention, platform growth, and roadmap quality while mentoring PMs and influencing cross-functional teams.

Own the full sales cycle for enterprise and mid-market B2B prospects in the fuels and lubricants sector. Develop pipeline, lead executive discovery and ROI presentations, negotiate contracts, manage forecasts, and close new-logo and expansion opportunities. Partner with BDRs, Sales Engineers, and Customer Success Managers on qualification, demonstrations, onboarding, renewals, and escalations. Maintain Salesforce data, position IIoT tank-monitoring solutions, and travel to customers and industry events.

Owns discovery and delivery for a defined area of the Anova Unify platform. Responsibilities include customer research, backlog and specification management, release planning, adoption measurement, engineering and design partnership, technical trade-off analysis across connected hardware and cloud systems, go-to-market enablement, and customer issue triage. The role requires data-driven product decisions, AI-assisted research, clear technical writing, and ownership of customer value and delivery outcomes.

Owns end-to-end development and operation of backend services and real-time data pipelines for industrial IoT telemetry. Responsibilities include defining requirements and roadmaps, implementing APIs, forecasting and anomaly detection, production monitoring, alerting, testing, CI/CD, AI-assisted development, and mentoring engineers. The role translates business goals and technical uncertainty for stakeholders while maintaining reliable, high-quality software systems.

Own the hardware product portfolio for a commercial fuels or industrial gas and chemical vertical. Lead market discovery, customer engagement, requirements, business cases, pilots, field trials, product improvements, sensor compatibility releases, Engineering Change Orders, and product launches. Coordinate engineering, software, suppliers, sales, and other stakeholders while managing parallel workstreams and using customer and product data to guide roadmap decisions.

Design, build, and operate Databricks ETL pipelines for real-time IoT and platform data. Deliver production Databricks workloads, BI data models, data quality/testing, lineage and governance. Collaborate with stakeholders, use AI coding tools responsibly, and maintain CI/CD, monitoring, and reusable master data assets for analytics and ML.

Own end-to-end ML solutions for real-time industrial IoT telemetry: frame problems, build pipelines, deploy and operate models (forecasting, classification, anomaly detection), monitor drift and retrain, mentor engineers, and apply AI-assisted coding with rigorous quality and MLOps practices.