• Respond to participant inquiries about their employer-sponsored group insurance plans. • Assist clients with insurance coverage. • Provide general information about the organization. • Refer clients to specialists when needed. • Receive, understand, resolve complaints, and offer solutions. • Provide support and guidance while complying with internal policies. • Perform additional related tasks as assigned by the Service Manager. • Maintain strong client relationships through follow-up. • Identify and suggest improvements to enhance our services. • Adhere to the information security policy to ensure the availability, integrity, and confidentiality of all data.

Role Description We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of: - Representation learning - Foundation models - Reinforcement learning - Causal reasoning - Agentic systems - Product intelligence The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas: - Customer World Models - Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. - Examples include: - Representation learning over long-horizon customer histories - Event-based foundation models - Multi-modal customer representations spanning structured, sequential, and graph data - Memory architectures for long-term customer understanding - Proactive Intelligence - Developing systems that can anticipate customer needs and initiate helpful actions before being asked. - Examples include: - Opportunity detection and next-best-action systems - Long-horizon planning and decision-making - Preference and goal inference - Learning when intervention creates value versus friction - Agentic Decision Systems - Building agents that reason over customer world models and take actions in real environments. - Examples include: - Tool use and planning - Multi-step reasoning over customer state - Autonomous workflow execution - Recovery and adaptation under uncertainty - Learning from Feedback Loops - Developing methods that allow intelligence to improve continuously from real-world outcomes. - Examples include: - Reinforcement learning from customer and product feedback - Reward modeling and preference learning - Counterfactual evaluation - Credit assignment over long decision horizons - Evaluation and Measurement - Building evaluation frameworks that predict real-world performance, trust, and customer value. - Examples include: - Simulated customer environments - Longitudinal evaluation - Decision quality metrics - Safety and reliability benchmarks Qualifications - Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op. - Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. - Experience conducting independent research and translating ideas into working systems. - Fluency in Python and experience with PyTorch, JAX, or similar frameworks. - Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work. Requirements - Experience with large language models and agentic systems. - Experience with reinforcement learning, reward modeling, or sequential decision-making. - Experience with representation learning for structured, temporal, or graph data. - Familiarity with large-scale training and production ML systems. - Interest in building AI systems that directly affect customer outcomes. Benefits - Direct mentorship from researchers working on the future of proactive intelligence at Block. - Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources. - Opportunities to publish and contribute to open-source projects. - A chance to shape foundational technology that could power the next generation of Block products. - Exposure to both scientific research and product deployment, with a clear path from idea to impact.

Role Description In the Support Specialist role, you represent Fetch every day as the connection between our users and everyone working behind the scenes. While helping our users and ensuring they continue to use Fetch is your highest priority, we also need you to spot trends and help troubleshoot tricky technical issues. Your interactions will be largely through app-based email, utilizing a variety of software tools to solve the issues our users experience. Fetch is growing insanely fast, and constantly adapting to new opportunities and challenges. Change is a constant. Your ability to stay up-to-date and on top of rapid-fire communication is critical. You will be joining a team that is largely remote, but with stunning offices in Madison, Chicago, and Birmingham. We like to have fun, whether in person or over Zoom. You will be given all of the tools, training, and support required to succeed. Your desire to build something big, your quick mind, appetite for challenge, and drive to be the best professional version of yourself will set you apart from other candidates. This is a full-time position that can be held from one of our US offices or remotely in the United States. Hours: - Currently hiring for 2nd shift. - This position requires a schedule of 3pm-11pm CST. - This is a full-time, 5 days/week position. - Weekends are required. Fetch's Flexible PTO policy is generous, but each person's ability to take off a given day is dependent on that day's business needs. Requests for particular days off, including holidays, are not guaranteed, and may be denied based on minimum staffing requirements. Additionally, the Support Team operates 7 days per week and working holidays is required when a holiday falls on a day you are scheduled to work; holidays are paid at 1.5x your normal pay rate. Note: Future training may require a change in schedule for 1-2 days, but 2 weeks notice will be provided. Qualifications - Technically Proficient: Google is your best friend. - Fast Learner: Rapid fire communication works for you. - Adapts to Change: New things are your vibe. - OK with Repetition: OK with Repetition. - Self-Motivated: You bet on you and win every time! - Seeks Feedback: Even LeBron needs a coach. - Maintains a Positive Attitude: Happiness is more than just an emoji. - Professional and Accountable: Not everything can be solved with a meme. - Maintains Focus: “I’m in the zone.” - Service Minded: Does what is best for our users, even if it’s difficult for us. - Resourceful: You follow life hacks. - Problem Solving: You know that clearing the cache and cookies is a good place to start. - Team Mindset: Gaming is fun. Multi-player gaming is also fun. Requirements - Extensive technical knowledge. - Fluency in written Spanish. Compensation At Fetch, we offer competitive compensation packages including hourly salary and benefits to the exceptional folks we hire. The approved compensation for this position is an hourly rate of $20.20. Discover our benefits and how our employees live rewarded at https://fetch.com/careers .

Role Description As a Customer Service Phone Agent, you will serve as a trusted voice of Paleovalley and Wild Pastures, helping customers navigate their health and wellness journey with confidence. You’ll provide exceptional support, resolve customer concerns, and identify opportunities to connect customers with products that best meet their needs. Through every interaction, you will play a key role in strengthening customer loyalty, driving sales growth, and supporting our mission of delivering high-quality, integrity-driven products. What You’ll Do - Deliver exceptional customer experiences by serving as the primary point of contact for inbound phone inquiries, providing professional, friendly, and knowledgeable support. - Support customers throughout their journey by answering questions related to products, orders, subscriptions, promotions, and company policies. - Resolve customer concerns efficiently and empathetically, identifying solutions that build trust and strengthen customer loyalty. - Process customer transactions accurately, including orders, returns, exchanges, and account updates. - Recommend products and solutions that align with customer needs, helping customers make informed purchasing decisions. - Promote and upsell Paleovalley and Wild Pastures products through consultative conversations that create value for the customer. - Achieve established performance goals related to customer satisfaction, call quality, productivity, and sales outcomes. - Maintain accurate customer records and document interactions within company systems and databases. - Collaborate with cross-functional teams to investigate and resolve complex customer issues and ensure timely follow-through. - Stay current on product offerings, promotions, policies, and industry knowledge to provide accurate and effective customer guidance. - Identify recurring customer concerns and share insights and feedback that contribute to continuous improvement across the customer experience. Qualifications - At least 1 year of experience providing phone-based customer support in a high-volume customer service environment. - At least 3 months of sales experience, including recommending products or services to customers. - Previous experience working successfully in a remote work environment. - Experience using customer service, contact center, or CRM platforms and the ability to quickly learn new systems and tools. - Strong verbal communication skills, active listening skills, and a professional phone presence. - Ability to manage multiple priorities while maintaining accuracy and attention to detail in a fast-paced environment. - Ability to work independently, solve problems, and identify appropriate resources with minimal supervision. - Ability to maintain a dedicated, distraction-free, and quiet workspace during working and training hours. - Authorization to work in the United States for any employer without current or future visa sponsorship. Bonus Points - Experience using Aircall, Richpanel, Zendesk, or similar contact center and customer support platforms. - Experience in a high-volume phone support environment, consistently managing 40–50+ customer interactions per day while maintaining quality and customer satisfaction. - Experience supporting customers for e-commerce, direct-to-consumer (DTC), health and wellness, food and beverage, or healthcare brands. - A demonstrated track record of meeting or exceeding customer service, productivity, or sales-related performance metrics. - A coachable, positive attitude and a genuine passion for helping customers solve problems and create exceptional experiences. Benefits - Medical, dental, and vision coverage with 100% employer-paid dental/vision and a small monthly medical premium for employees; dependents may be added at employee cost. - Generous Paid time off to support balance and rest. - Paid sick time for when you need it. - Six (6) paid holidays each year. - Paid parental leave for growing families. - 100% company-paid Short-Term Disability, Long-Term Disability, and Life Insurance. - 401(k) with up to a 4% company match after one year of service. - Monthly product stipend or access to perfectly imperfect damaged product so you can enjoy the nutrient-dense foods you help bring to others.