Vaultes

Account Executive

• Proactively identify and qualify new business opportunities within target markets, leveraging market research, networks, and referrals.
• Effectively communicate the Vaultes brand and value proposition when targeting opportunities and selling services.
• Build and maintain an accurate and detailed pipeline including projected and actual revenue goals on a quarterly and annual basis.
• Work with proposal team to develop and present proposals and statements of work that align with client needs and Vaultes service offerings.
• Partner with delivery to ensure seamless client transition from sales to delivery including project kick-off and client handoff.
• Meet or exceed assigned sales quota and KPIs.
• Serve as the primary client point of contact post project completion to ensure satisfaction and identify additional opportunities.
• Develop strong relationships with existing and prospective clients ensuring a frictionless experience built on a foundation of trust.
• Stay abreast of marketplace trends to anticipate future opportunities including legislation, service gaps, pricing, and market demands.
• Participate in events and conferences to build brand presence and expand relationships.

Machine Learning Engineer

• As a member of our dynamic tech team, you will work collaboratively with team members and stakeholders to support a mission-critical initiative making essential services more accessible and efficient.
• You will be a key part in the design, development, and deployment of cutting-edge AI/Machine Learning solutions to transform the customer experience for Veterans.
• This is a full-time position contingent on contract award. The position is remote within the contiguous United States.
• Responsibilities: Design, implement, and deploy voice-enabled machine learning models using Genesys Cloud Services and Genesys Cloud CX capabilities; Work with large, structured and unstructured datasets from secure government data sources; Develop and deploy classification models that accurately interpret and categorize user intents across multiple domains; Develop and integrate RESTful APIs to connect AI models with core CX systems; Build entity extraction models to capture target information from spoken language; Build and maintain data preprocessing, feature engineering, and model training pipelines; Support integration of ML models into voice platforms and routing engines; Contribute to documentation, compliance, and security processes; Develop and maintain A/B testing frameworks to support data-driven decision making and ongoing product optimization; Apply federated ML techniques to train models while preserving the privacy of PII; Develop scalable, high performing, and reliable ML infrastructure; Create conversational models that are context-aware and are capable of maintaining dialogue across multi-turn interactions; Collaborate cross-functionally with product managers, UX designers, and data scientists to deliver innovative solutions; Other responsibilities as assigned