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Identify and research prospects, generate leads through CRM, LinkedIn, email, and cold calling, qualify opportunities, build prospect relationships, handle objections, and nurture leads through the sales pipeline. Collaborate with sales and marketing teams, maintain accurate CRM records, and use market intelligence to improve outreach. The role is based near San Francisco with four office days per week.

Diagnose and resolve complex production issues involving customer decision models, data pipelines, recommendations, data transformations, and business logic. Analyze platform behavior, perform root cause and impact analysis, validate fixes, and collaborate with Customer Success, Product, Engineering, and Modeling teams. Develop troubleshooting guides and knowledge-base content, identify recurring issues, and improve platform reliability while becoming a subject matter expert in customer implementations and modeling capabilities.

Perform exploratory data analysis, feature engineering, statistical and machine learning modeling, and build reproducible end-to-end data pipelines. Translate business questions into analytical solutions, write Python code, productionize models with engineering teams, and communicate insights to technical and non-technical stakeholders. The role also involves data quality validation, model evaluation, visualization, and collaboration on deployment, monitoring, and versioning.

Design, develop, and maintain scalable Java backend software, APIs, and automation for an enterprise cloud platform. Collaborate with architects, product managers, and engineers to define requirements, improve performance, resolve technical challenges, and deliver high-quality solutions. Apply modern engineering and AI-enabled development practices, participate in design and code reviews, understand end-to-end systems, mentor junior engineers, and contribute to technical innovation.

Supports enterprise software sales by presenting Aera’s Decision Intelligence platform, conducting tailored demos, leading proofs of concept and value, facilitating workshops, developing ROI analyses and business cases, responding to proposals and RFx requests, and defining deployment roadmaps. Partners with sales, product management, marketing, delivery, and customer success teams while engaging technical and executive stakeholders. The role requires supply chain expertise, consultative communication, and approximately 25% travel.

Drive enterprise sales and client adoption of Aera’s Decision Intelligence platform. Responsibilities include targeting and closing large enterprise clients, expanding existing accounts, managing C- and VP-level relationships, developing account strategies and transformation roadmaps, articulating technology value, collaborating cross-functionally, and exceeding customer revenue and ACV targets. Frequent travel and Texas residency are required.

Own enterprise sales and client relationships for Aera’s decision intelligence platform. Responsibilities include targeting and closing large accounts, expanding existing clients, engaging C- and VP-level stakeholders, developing transformation roadmaps and business cases, articulating platform value, managing pipelines, collaborating cross-functionally, and meeting revenue targets. The role requires consultative enterprise software sales experience and frequent travel, with preference for candidates familiar with data analytics, AI/ML, RPA, process mining, and supply chain operations.

As Regional Vice President, you will drive revenue growth for Aera Technology, leading a sales team and building strategic client relationships.

Lead enterprise platform sales by partnering with C- and VP-level executives to drive adoption of Aera's decision intelligence platform. Own pipeline, develop account strategies, close large strategic deals, expand usage within clients, and collaborate cross-functionally to meet ACV and revenue targets. Act as a trusted advisor and subject-matter expert in clients' industries.

Sell and expand adoption of Aera's Decision Intelligence platform with enterprise clients. Own C-/VP-level relationships, build account strategies, close large deals, drive revenue/ACV, collaborate cross-functionally, and frequently travel to clients.