Role Description As the VP of Engineering Applications, you will turn intelligence into a real product. The VP of Engineering Applications is responsible for the engineering systems, teams, and execution that turn Machine Learning (ML) capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms. The VP of Engineering Applications role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery. This position is 100% Remote. Responsibilities - Own the application engineering strategy and execution across backend, mobile, and desktop. - Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers. - Set the architectural direction for Artificial Intelligence (AI)-powered product workflows, APIs, and client integrations. - Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes. - Partner closely with Machine Learning leadership to translate model capability into shippable product features. - Make high-impact decisions across latency, cost, reliability, security, and user experience. - Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift. - Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls. - Balance speed and discipline shipping quickly without compromising long-term system quality. Outcomes - Reliable, low-latency Artificial Intelligence (AI) user experiences across backend, mobile, and desktop. - Clear architectural boundaries that allow teams to move fast without constant rewrites. - Measurable improvements in system performance, stability, and production reliability. - Strong observability and operational discipline across all application systems. - A small, senior team that ships frequently, owns what they build, and raises the technical bar. - Team members are empowered, growing in their roles, and able to make high-impact contributions. Qualifications - Significant experience leading application or product engineering for complex systems. - Artificial Intelligence (AI) experience required. - Strong hands-on background building and shipping backend systems used in production. - Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs. - Excellent system design skills across services, APIs, clients, and data flows. - Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one. - Proven ability to make high-impact technical decisions under ambiguity. - A strong bias toward shipping, iteration, and learning from real-world usage. - Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization. Benefits - Medical insurance - Dental - Vision - Savings Plan Options - PTO

• 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.