• Lead the Natural Specialty sales organization with responsibility for overall business development, client growth, team performance, and profitability. • Develop and execute strategic growth plans that expand existing client partnerships, identify white-space opportunities, and secure new manufacturer relationships. • Build and maintain strong executive-level relationships with key customers, clients, retailers, and internal stakeholders to support business objectives and long-term growth. • Establish revenue, operating income, and expense management priorities; monitor performance monthly to ensure budget goals and financial objectives are achieved. • Strengthen retail coverage, communication, and execution plans across grocery, natural, specialty, and related channels. • Lead, coach, and develop directors, regional sales managers, and broader team members to support performance, engagement, and succession planning. • Create a strong talent pipeline by identifying, mentoring, and preparing high-potential associates for future leadership opportunities. • Champion Acosta values by setting clear expectations for leadership, collaboration, associate development, accountability, and client service excellence. • Partner with internal training resources to develop onboarding, group training, and skill-building programs that support associate success and business needs. • Prepare and deliver business reviews, market opportunity assessments, and strategic recommendations that support client growth and new business development. • Negotiate and close business opportunities, contracts, and client agreements that align with company goals and profitability expectations. • Ensure client goals and expectations are met or exceeded through disciplined execution, proactive communication, and continuous improvement. • Perform other duties as assigned.

Role Description The VP of Research, Machine Learning (ML) will own the research and intelligence direction of this system. This position is 100% Remote. - Set and evolve the research direction for the core intelligence, including context representation, memory, reasoning, planning, and orchestration. - Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models. - Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior, not benchmark vanity. - Own alignment, safety, and guardrail strategy as first-class product concerns. - Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems. - Shape early product intelligence direction in close partnership with product and application engineering. - Set the technical bar for research rigor, judgment, and taste across the organization. Qualifications - Deep experience building or evolving real Machine Learning (ML) systems used in production. - Artificial Intelligence (AI) experience required. - Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs. - A builder’s mindset; you care about systems that work in the real world, not just ideas. - Comfortable making irreversible or high-impact decisions with incomplete information. - Obsession with evaluation, correctness, and how systems behave over time. - High ownership mentality; you operate as a founder, not a manager. - Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch. Benefits - Medical insurance - Dental - Vision - Savings Plan Options - PTO Compensation USD 225,000 - USD 275,000 yearly

• Build and lead AmeriSave's institutional partnership platform, creating new distribution channels, investor relationships, and technology-enabled lending solutions that drive sustainable growth. • Establish Relationships Phase 1 - Working with the team we will identify target companies that may benefit from an alignment with AmeriSave to originate loans. • Once proof of concept has been established expand to consider white label options and expansion into other programs. • Serve as the primary point of contact between institutional investors and AmeriSave and guide those entities during their onboarding and solve for inquiry from each entity as challenges of integration are identified. • Build contractual agreements that address core principles regarding compliance and boundaries defined during the origination process. • Demonstrate experience negotiating complex commercial agreements involving loan purchases, servicing rights, correspondent relationships, or institutional partnerships. • Leverage AmeriSave's established brand in the secondary capital markets to attract clients and align business with companies wanting sustainable growth. • Measure, report on, and track performance of relationships within our technology framework ensuring all required data points are collected for reporting. • Discover how to use owned technology to tailor loan origination in unique ways as a key part of this role.

• Responsible for defining and executing the enterprise technology strategy for Celerion. • Oversee infrastructure, cybersecurity, enterprise applications, digital transformation, data platforms, laboratory systems, and regulated technology operations supporting Celerion’s global operations. • Partner closely with executive leadership, operations, quality, regulatory, and business development teams to ensure technology capabilities enable operational excellence, regulatory compliance, scalability, innovation, and exceptional client experiences across all global sites. • Develop and execute a multi-year global technology roadmap aligned with corporate objectives and growth strategy. • Lead enterprise-wide digital transformation initiatives supporting clinical, laboratory, and business operations. • Advise executive leadership on emerging technologies, cybersecurity risks, AI opportunities, automation, and data modernization. • Build strong relationships with operational leaders to ensure technology solutions improve efficiency, quality, and customer experience. • Establish technology governance, architectural standards, and investment prioritization processes. • Oversee global IT infrastructure including cloud platforms, data centers, networks, endpoint management, collaboration tools, and telecommunications. • Ensure high availability, disaster recovery, business continuity, and operational resilience across global locations. • Lead modernization of legacy systems while minimizing operational disruption. • Direct global service desk and support operations with measurable SLAs and customer satisfaction metrics. • Responsible for cybersecurity strategy, risk management, incident response, and security operations. • Ensure compliance with GxP, FDA, GDPR, SOC, ISO, and other applicable regulatory frameworks. • Partner with Quality and Regulatory teams to support computerized system validation and maintain audit readiness. • Oversee security awareness, vulnerability management, identity management, and third-party risk programs. • Drive enterprise data strategy including governance, analytics, reporting, and AI-enabled insights. • Ability to manage infrastructure and optimize operational efficiency while balancing innovation, risk and cost management. • Lead evaluation and implementation of scalable technology platforms supporting global expansion. • Manage global technology budgets, forecasting, contracts, and software licensing. • Negotiate strategic vendor relationships and technology partnerships. • Establish KPIs and reporting mechanisms to measure technology performance and value realization. • Build and lead a high-performing global technology organization. • Foster a culture of accountability, innovation, collaboration, and continuous improvement. • Lead geographically distributed teams across multiple time zones and business functions. • Drive the identification, incubation, and commercialization of AI capabilities that strengthen competitive positioning, accelerate growth opportunities, and enhance enterprise value.