Top Tech Jobs & Startup Jobs

The Account Executive focuses on driving new business in higher education, managing the sales cycle, building pipelines, and engaging with clients through a consultative approach to meet sales targets.

Hands-on FP&A role owning budgeting, forecasting, variance analysis, and management reporting. Produce monthly/quarterly close packages, executive and board materials, and ad hoc analyses. Maintain data integrity across Workday and Adaptive Planning, optimize reporting workflows, and automate recurring processes using Excel, Power Query, scripting, or AI tools. Partner with business units and Finance leadership to translate results into actionable insights.

Analyze buyer and seller behavior to inform strategy; build scalable self-serve dashboards (Looker/Tableau); streamline data collection; translate business needs into data products; partner cross-functionally and run A/B tests to optimize user experience.

The Virtual Assistant will support cofounders by managing emails, client appointments, documents, communication, and assisting production teams while working independently.

The role involves managing AI infrastructure products, defining strategies, translating technical requirements, collaborating cross-functionally, and optimizing product performance.

Manage assigned accounts as primary contact to drive sales growth and customer satisfaction. Develop and execute short- and long-term sales strategies, build pipeline, lead complex sales cycles, coordinate cross-functional teams, negotiate with decision-makers, and ensure high-quality customer service and supplier ratings.

The Sales Consultant will meet with pre-set appointments and self-generated leads, engage homeowners, and close sales, showcasing Bath Fitter's products. Success is driven by initiative and sales performance.

Provide contract review and negotiation (NDAs, MSAs, SOWs, vendor agreements); partner with sales, finance, and delivery on deals; assess legal risk versus business outcomes; build templates, clause libraries, and playbooks; support compliance (data privacy, employment, cross-border basics); and improve legal operations for speed and standardization.

Design, implement, train, validate, and deploy machine learning models at enterprise scale. Collaborate with data engineers and software engineers to preprocess data, perform feature engineering, evaluate model performance, and integrate models into production. Continuously improve models and adopt new ML and cloud data tools to solve business problems.

Lead design and evolution of scalable, distributed systems across Sovrn's product ecosystem. Define architectural standards, SLOs/SLAs, and best practices for performance, security, and compliance. Leverage automation and AI tooling, mentor engineers, influence cross-functional technical strategy, and ensure systems are maintainable, secure, and performant at scale.