Apex Focus Group collaborates with various research organizations, academic institutions, and brands to gather authentic consumer insights. We provide individuals with flexible work-from-home opportunities that influence product development, services, and user experiences.Role OverviewWe invite individuals from diverse backgrounds, including those seeking part-time administrative assistant roles, to participate in upcoming consumer research studies. These studies may involve online interviews, product evaluations, or feedback sessions, primarily conducted remotely.This is a casual, project-based opportunity that is ideal for individuals looking to engage part-time in research activities based on their availability and profile suitability.

Apex Focus Group collaborates with various research organizations, academic institutions, and brands eager for authentic consumer insights. We provide individuals with opportunities to engage in flexible work-from-home research that influences product development, services, and user experiences.Position OverviewWe welcome individuals from diverse backgrounds, including those seeking part-time administrative assistant positions, to join our upcoming consumer research initiatives. These initiatives may encompass online interviews, product assessments, or feedback sessions, primarily conducted remotely.This role is casual and project-based, making it an excellent fit for anyone looking to contribute part-time to research based on their availability and profile alignment.

Apex Focus Group collaborates with research organizations, academic institutions, and brands aiming to gather authentic consumer insights. We provide individuals with flexible work-from-home opportunities that influence product development, services, and user experiences.Role OverviewWe invite candidates from diverse backgrounds, including those interested in administrative assistant roles, to participate in upcoming consumer research studies. These studies may involve online interviews, product evaluations, or feedback sessions, most of which are conducted remotely.This is a casual, project-based opportunity ideal for individuals seeking part-time research engagement based on their availability and profile alignment.

Apex Focus Group collaborates with various research organizations, academic institutions, and brands to gather authentic consumer insights. We offer individuals the chance to engage in flexible work-from-home research opportunities that significantly influence product development, service enhancement, and overall user experiences.Role OverviewWe invite individuals from diverse backgrounds, including those interested in administrative assistant positions, to participate in upcoming consumer research studies. These studies may encompass online interviews, product assessments, or feedback sessions, predominantly conducted remotely.This role is project-based and ideally suited for those seeking part-time research engagement, allowing you to choose participation based on your availability and profile compatibility.Requirements A smartphone, tablet, or computer equipped with a functional camera A reliable internet connection Capability to adhere to written instructions and articulate insightful opinions A valid email address for receiving study invitations BenefitsFlexible engagement - participate only when studies align with your profileVaried research formats including focus groups (remote or in-person), video interviews, product evaluations, and digital feedback sessionsNo prior administrative assistant experience necessary - just an eagerness to contributeSome studies may provide early access to unreleased products or servicesCompensation is offered for many studies, contingent on the typeIf you are eager to contribute to research that informs real-world decisions and wish to explore flexible part-time, work-from-home opportunities, we encourage you to register your interest online today.Important Notice – No Fees RequiredWe do not charge any fees to register or participate. Please be wary of any requests for payment to join research.

Apex Focus Group collaborates with various research organizations, academic institutions, and brands eager for authentic consumer insights. We facilitate flexible work-from-home research engagements that contribute to the development of products, services, and overall user experiences.Position OverviewWe invite individuals from diverse backgrounds, including those interested in administrative assistant positions, to participate in upcoming consumer research studies. Opportunities may include online interviews, product testing, or feedback sessions, primarily conducted remotely.This casual, project-based role is perfect for those seeking part-time research participation based on their availability and suitability.

Apex Focus Group collaborates with research organizations, academic institutions, and brands to gather authentic consumer insights. We offer individuals a chance to engage in flexible, work-from-home research opportunities, playing a crucial role in shaping products, services, and overall user experiences.Role OverviewWe invite individuals from diverse backgrounds, particularly those interested in administrative assistant roles, to join our consumer research studies. These studies may involve online interviews, product evaluations, or feedback sessions, predominantly conducted remotely.This casual, project-based role is perfect for those looking to participate part-time in research activities based on their availability and profile suitability.

Apex Focus Group collaborates with research organizations, academic institutions, and brands that value authentic consumer insights. We provide individuals with the opportunity to engage in flexible, work-from-home research projects that contribute to the development of products, services, and user experiences.Position OverviewWe warmly invite candidates from diverse backgrounds, including those pursuing administrative assistant positions, to express their interest in joining our forthcoming consumer research studies. Participation may involve online interviews, product evaluations, or feedback sessions, predominantly conducted remotely.This casual, project-based opportunity is perfect for individuals looking to engage part-time in research initiatives that align with their availability and profile.Requirements Access to a smartphone, tablet, or computer equipped with a functioning camera Reliable internet connection Capability to adhere to written instructions and provide insightful feedback A valid email address for study invitations BenefitsFlexible participation - engage only when studies correspond to your profileDiverse research formats, including focus groups (online or in-person), video interviews, product assessments, or digital feedback sessionsNo prior administrative assistant experience necessary - just a genuine willingness to participateSelected studies may offer early access to unreleased products or servicesCompensation is provided for many studies, depending on the typeIf you're eager to contribute to research that influences real-world decisions and explore flexible part-time, work-from-home opportunities, we encourage you to register your interest online today.Important Notice – No Fees RequiredWe do not charge any fees for registration or participation. Please be cautious of any correspondence requesting payment for research participation.

Apex Focus Group collaborates with leading research organizations, academic institutions, and brands to gather authentic consumer insights. We provide individuals with flexible, work-from-home research opportunities that play a crucial role in shaping products, services, and overall user experiences.Role OverviewWe invite individuals from diverse backgrounds, including those interested in administrative assistant positions, to engage in upcoming consumer research studies. These studies may encompass online interviews, product evaluations, or feedback sessions, primarily conducted remotely.This is a casual, project-based role ideally suited for those seeking part-time participation in research opportunities based on their availability and profile alignment.

About WisdomWisdom combines deep industry knowledge with cutting-edge technology to enhance the operational efficiency of dental practices. Our mission is to prioritize people in dentistry, ensuring a stronger and more sustainable future for dentists, their teams, and patients alike. By pairing administrative teams with skilled billing experts and tailored technology, we alleviate the burdens of dental billing while optimizing in-office time and financial outcomes for dentists.Following a successful $21M Series A funding round, we are on the lookout for outstanding candidates ready to contribute to our vision of a category-defining company. As a fully remote-first organization, we have team members across the United States.About The RoleAs an Insurance Billing Specialist, you'll play a crucial role in streamlining insurance billing processes by submitting claims, posting dental insurance payments, and managing insurance aging reports for our clients. This position is central to Wisdom’s service model and significantly impacts the exceptional support we provide to dental practices. Your responsibilities will include:Timely and accurate preparation and submission of dental insurance claims, along with necessary follow-ups to ensure prompt payment and resolution of discrepancies with insurance providers.Posting insurance payments and adjustments to patient accounts, reconciling these with the practice management system, and investigating any discrepancies.Monitoring and managing accounts receivable to secure timely collection of outstanding insurance balances, while regularly generating AR reports to identify trends and improvement opportunities.Acting as the primary liaison between dental offices and insurance companies, addressing any insurance-related queries and communicating challenges and achievements.Collaborating with dental offices to ensure all insurance claims are accurately coded and documented.Why Choose Wisdom?Enjoy the flexibility of working remotely with a high-performing team that values efficiency without the complications of traditional office environments.Experience flexible working hours.Benefit from a supportive and inclusive culture that welcomes individuals from all backgrounds, whether you're an experienced remote biller or exploring this field for the first time. We will equip you with the necessary tools, training, and community support.

About WisdomAt Wisdom, we combine deep industry knowledge with innovative technology to enhance the efficiency of dental practices. Our mission centers on people, as we strive to build a more robust and sustainable future for dentists, their teams, and the patients they care for. We specialize in pairing administrative teams with skilled billers and tailor-made technology to handle the complexities of dental billing, allowing dentists to focus more on patient care and improve their financial outcomes.With a recent infusion of $21M in Series A funding, we are on the lookout for outstanding talent to join us in defining our industry category. Our team operates fully remotely, with members situated across the United States.About The RoleAs an Insurance Verification Specialist, you will play a pivotal role in ensuring that dental insurance verification processes are accurate and efficient for our clients. This role serves as a fundamental component of the revenue cycle management process, where maintaining up-to-date and complete insurance information is vital for successful claim submissions and treatment planning.In this position, you will be responsible for:Conducting insurance eligibility checks through various channels such as phone, web, and fax, while systematically documenting and summarizing your efforts to keep each office informed of our advancements.Gathering and entering comprehensive insurance breakdowns into client practice management systems.Collaborating directly with our clients to ensure timely verifications are executed, addressing any failed verifications, and seeking additional information as necessary.Completing and sending out invoicing forms on a monthly basis.Why Choose Wisdom?Enjoy the benefits of remote work, joining a fully distributed team that excels in productivity without the challenges of a traditional office setting.Experience flexible working hours that allow you to prioritize what matters most, enabling you to work during the hours that best suit your lifestyle.Embrace a culture of support and inclusion, where everyone from seasoned billers to newcomers will be equipped with the necessary tools for success.

Join Granica as an Enterprise Account ExecutiveGranica is a pioneering AI research and infrastructure firm dedicated to creating reliable and steerable representations for enterprise data.We build trust through Crunch, our innovative policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. With this robust foundation, we are developing Large Tabular Models—advanced systems that learn across columns and relational structures to provide trustworthy insights and automation while maintaining inherent provenance and governance.Transforming Data for Superior AIGranica is revolutionizing how enterprises prepare and optimize data at the foundational level of the AI stack—transforming raw information into actionable intelligence.Our technology seamlessly integrates with modern data platforms like Snowflake, Databricks, and S3-based data lakes, leading to:Over 60% reduction in storage costs and up to 60% lower compute expenditures.Threefold increase in data processing speed.20% improvement in platform efficiency.Why Your Role MattersGranica believes that vast data should drive innovation rather than incur expenses. We tackle the hidden bottlenecks in every AI and analytics stack, making data lighter, faster, and smarter, empowering teams to achieve breakthroughs instead of merely managing storage and compute costs.About UsA team of elite researchers specializing in compression, information theory, and data systems.Experienced engineers hailing from leading companies such as Pure Storage, Cohesity, Google, and top cloud teams.Supported by over $65 million from esteemed investors including Bain Capital Ventures, A* Capital, and prominent figures behind Okta, Eventbrite, Tesla, and Databricks.Your ResponsibilitiesIn the role of Enterprise Account Executive, you will spearhead the acquisition and expansion of strategic accounts throughout North America, particularly targeting organizations with extensive cloud data operations. You will guide high-impact, multi-stakeholder sales cycles from initial contact to closure, expansion, and renewal, serving as a trusted advisor to data and engineering leaders in some of the world's most innovative companies.Key responsibilities include:Managing the complete sales cycle for enterprise and upper mid-market accounts across North America....

About withwisdomAt withwisdom, we combine industry knowledge with cutting-edge technology to enhance the operational efficiency of dental practices. Our mission is to prioritize people in dentistry and create a sustainable future for dentists, their teams, and the patients they care for. We specialize in pairing administrative teams with expert billers and tailor-made technology to ease the burden of dental billing, allowing dentists to focus on patient care and improve their profitability.Following a successful $21M Series A funding round, we are in search of outstanding talent to help us shape a pioneering company in the dental billing sector. Our team operates fully remotely, with members located throughout the United States.Are you passionate about leading teams, enhancing processes, and achieving tangible results? We are looking for an Operations Team Lead to oversee our dental billing operations, mentor a high-performing team, and provide exceptional service to our portfolio of 35–40 clients.Key Responsibilities:Lead, mentor, and ensure team accountability for performance metrics, emphasizing KPIs, quality standards, and client retention.Manage the client experience through clear communication, conducting thorough business reviews, and promptly addressing any issues.Identify and implement strategies to streamline workflows, enhance efficiency, and scale operations intelligently.What We Offer:A fully remote, U.S.-based W2 position.A competitive base salary.Unlimited Paid Time Off.Comprehensive benefits package including health, dental, vision, 401(k), and HSA.Company-provided computer and annual in-person leadership events.If you are a strategic thinker, effective communicator, and tech-savvy leader who excels in maximizing team potential, we would love to hear from you.

Apex Focus Group collaborates with research organizations, academic institutions, and brands to gather authentic consumer insights. We connect individuals with flexible, work-from-home research opportunities that influence product development, service enhancements, and user experiences.Role OverviewWe invite candidates from a variety of backgrounds, particularly those interested in administrative assistant positions, to participate in upcoming consumer research studies. These studies may involve online interviews, product assessments, or feedback sessions, primarily conducted remotely.This casual, project-based opportunity is perfect for individuals seeking to engage in part-time research as per their availability and profile compatibility.

About GranicaGranica is a pioneering AI research and infrastructure firm dedicated to creating reliable, steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that ensures large tabular datasets are efficient, reliable, and reversible. Leveraging this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, providing trustworthy answers and automation with inherent provenance and governance.Engineering Manager – Foundational Data Systems for AILocation: Mountain View, CA (in-office, 5 days a week)Team: Foundational Data SystemsRole OverviewWe are seeking an Engineering Manager to spearhead Granica's Foundational Data Systems—the essential infrastructure layer upon which all other systems rely.You will oversee a globally distributed team of approximately 15-20 senior engineers based in the US, India, and Canada, with direct accountability for long-lived systems encompassing storage, metadata, and distributed computing. This role transcends traditional people management; it is a hands-on leadership position with significant architectural influence, responsible for crafting systems that must be accurate, durable, and efficient at an enterprise scale.The systems developed by this team are pivotal in determining Granica’s ability to convert cutting-edge research into dependable products, ensuring our customers trust the data foundations that their analytical and AI workloads rely upon.This position is perfect for a technically adept leader who is passionate about team building, designing long-lasting systems, and operating with high levels of trust and ownership.Why This Role MattersContemporary AI and analytics systems face constraints not from models, but from the inefficiency and fragility of the underlying data infrastructure. Redundant data layouts, fragile metadata, and costly execution paths lead to increased expenses, slower iterations, and operational risks.Granica’s mission is to eliminate these inefficiencies at the foundational level.We engineer self-optimizing data systems that perpetually reorganize, compress, and manage structured data to remain efficient, reliable, and reversible as it evolves. These systems act as a resilient substrate for analytics, automation, and AI workloads—where accuracy, provenance, and governance are paramount.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to developing reliable and steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this robust foundation, we are creating Large Tabular Models—advanced systems that learn cross-column and relational structures to provide trustworthy answers and automation, all while maintaining provenance and governance.THE ROLE:This is not just a standard People Operations role; it's your chance to develop the operational framework for a rapidly scaling company. As Granica transitions from a high-performing startup to a generational company, you will be instrumental in designing the systems, programs, and culture that will drive our success.You will oversee the entire employee experience—from onboarding and operations to engagement and development—acting as the connective tissue that empowers every team member (referred to as "Ninjas") to excel in their roles. You will be both the architect and builder: strategic enough to plan for scalability while being hands-on enough to engage in daily operations.This is a high-impact, in-office position located in Mountain View, where you will blend tactical execution with strategic influence as we grow from approximately 40 to 80 employees across various locations. You will collaborate closely with leadership to ensure our people programs are not only compliant and efficient but also reflect our core values of ownership, curiosity, and excellence.If you have admired what Laszlo Bock accomplished at Google in its formative years, this is your opportunity to play a similar role at Granica.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable and steerable representations of enterprise data.We build trust through our product Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this solid foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures in order to provide trustworthy answers and automation with inherent provenance and governance.Our MissionAI is currently hampered not only by the design of models but also by the inefficiencies of the data that supports them. Every redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste as we scale.Granica aims to eliminate these inefficiencies. We merge cutting-edge research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructures: systems that consistently enhance the representation and utilization of information by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari of Stanford University, bridging advancements in information theory and learning efficiency with large-scale distributed systems. Together, we firmly believe that the next major advancement in AI will stem from breakthroughs in efficient systems rather than merely larger models.Your ContributionsGlobal Metadata Substrate: Design a transactional and metadata substrate that facilitates time-travel, schema evolution, and atomic consistency across massive petabyte-scale tabular datasets.Adaptive Engines: Develop systems that autonomously reorganize data, learning from access patterns and workloads to maintain peak efficiency without the need for manual tuning.Intelligent Data Layouts: Optimize bit-level organization (including encoding, compression, and layout) to maximize signal extraction per byte read.Autonomous Compute Pipelines: Create distributed compute systems that scale predictably, adapt to dynamic loads, and ensure reliability under failure conditions.Research to Production: Apply new algorithms in compression, representation, and optimization that emerge from ongoing research. We encourage opportunities to publish and open-source your work.Latency as Intelligence: Design systems that inherently minimize latency as a measure of intelligence.

About GranicaGranica is a pioneering AI research and infrastructure firm dedicated to developing dependable and steerable representations for enterprise data.We cultivate trust through our innovative product, Crunch, which serves as a policy-driven health layer ensuring that extensive tabular datasets remain efficient, reliable, and reversible. Building upon this foundation, we are focused on creating Large Tabular Models—advanced systems designed to learn cross-column and relational structures, delivering trustworthy answers and automation with built-in provenance and governance.The RoleAs a member of the Applied AI Research Team, you will play a critical role in our mission. Your contributions will transform theoretical insights from fundamental research into practical algorithms, optimized pipelines, and production-ready systems capable of managing petabytes of structured enterprise data.This position demands a high level of ownership from engineers who possess the ability to think like researchers while building like systems experts. You will convert theory into quantifiable performance enhancements and help establish the groundwork for structured AI.What You’ll DoTransform research into practical systemsConvert foundational concepts from Granica Research and Prof. Andrea Montanari’s group into scalable algorithms and experimental prototypes.Develop evaluation harnesses, metrics, and datasets that accurately reflect the true signals from research concepts.Establish and refine metrics that will gauge progress in structured AI.Innovate and enhance algorithms for structured AICreate efficient learning methods tailored for relational, tabular, graph, and enterprise data.Prototype representation learning architectures and compression-aware models for large-scale structured information.Construct high-performance learning pipelinesExecute rapid training and inference loops utilizing PyTorch, JAX, or custom kernels.Optimize memory, computation, and data movement pathways with an emphasis on cost-effectiveness, latency, and throughput.Integrate symbolic, relational, and neural components

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable, steerable representations of enterprise data.We establish trust through Crunch, a policy-driven health layer optimizing large tabular datasets for efficiency, reliability, and reversibility. Utilizing this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, delivering trustworthy answers and automation with integrated provenance and governance.Our MissionCurrent AI capabilities are hindered not only by model design but also by the inefficiencies of the data that supports it. At scale, each redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage groundbreaking research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructure: systems that continually enhance how information is represented and utilized by AI.Led by Prof. Andrea Montanari from Stanford, Granica’s Research group merges advances in information theory with learning efficiency in large-scale distributed systems. We collectively believe that the next significant leap in AI will originate from innovations in efficient systems, rather than merely larger models.Granica is at the forefront of developing a new category of structured AI models: foundational models designed to learn and reason from the relational, tabular, and structured data that drives the global economy. While many focus on unstructured text or media, we are venturing into the next frontier: systems capable of comprehending and reasoning over structured information.Your ContributionsCreate and prototype algorithms that form the core of structured AI, enhancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale.Develop adaptive learners merging statistical learning theory with systems optimization at scale, contributing to a new generation of foundational models for structured information.Design architectures that unify symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data.Construct cost models and optimization frameworks that enhance the efficiency of structured learning, both computationally and economically.