The AV Infrastructure Engineer is a technical role responsible for the support, maintenance, and operational success of enterprise audiovisual systems.

We are seeking experienced CDL drivers to join our team. The ideal candidate will have a valid CDL license and a clean driving record. Responsibilities include transporting pallets safely and efficiently, following traffic laws, and maintaining vehicle cleanliness. If you are a reliable and skilled driver, we want to hear from you!

Client Success Manager (Product Management Experience) About Assembled Systems Assembled Systems is an AI-native software delivery and product operations company helping businesses build, improve, and scale software products through continuous product strategy, AI-assisted engineering, and operational delivery systems. We believe the future of software delivery is not just faster engineering — it’s: stronger business alignment, operational clarity, and customer confidence. Our team helps companies turn software into a business advantage through: product strategy workflow optimization operational systems continuous delivery AI-assisted execution Role Overview We are hiring a: Client Success Manager (Product Management Experience) This is a highly strategic, customer-facing role focused on: business alignment customer relationships product strategy operational coordination delivery visibility customer confidence This role is NOT just about project management or status updates. This role is about: understanding the customer’s business and helping guide software decisions that support business outcomes. You will act as: the strategic relationship owner for customer accounts. You will work closely alongside: Product Owners Engineering teams QA Delivery Operations to help customers: identify operational problems clarify product goals prioritize initiatives improve workflows align product direction with business objectives The Core Purpose Of This Role The Client Success Manager is responsible for: understanding the customer’s business deeply enough to help guide product direction and operational priorities. This role sits at the intersection of: business strategy customer communication software delivery product execution You are not simply gathering requirements. You are helping customers: identify problems clarify goals prioritize opportunities improve operational workflows align software initiatives with business impact What This Role Is Responsible For Customer Relationship Management Own customer communication and relationship health Build strong customer trust and engagement Maintain proactive communication cadence Ensure customers feel informed, supported, and confident Lead customer meetings and strategic discussions Business & Product Strategy Understand the customer’s business goals, operational workflows, and challenges Identify opportunities for product improvement and operational efficiency Help customers prioritize initiatives based on business value and impact Collaborate with Product Owners to align business objectives with product direction Ask strategic questions that uncover workflow inefficiencies and product gaps Product & Workflow Discovery Help customers articulate operational pain points and desired outcomes Participate in product discovery and roadmap discussions Understand how customers use the software operationally Assist in translating business needs into actionable product direction Support requirement clarification and delivery alignment Delivery Visibility & Coordination Provide visibility into sprint progress and delivery updates Coordinate demos, reviews, and retrospectives Help manage customer expectations and delivery alignment Track unresolved requests, blockers, and follow-ups Ensure strong communication between customers and internal teams Internal Collaboration Work closely with Product Owners who deeply understand workflows and product behavior Collaborate with engineering and QA teams during delivery cycles Participate in onboarding, planning, and strategic discovery sessions Help maintain continuity across customer engagements What This Role Is NOT This role is NOT: a Jira administrator a ticket processor a Scrum coordinator a reactive support representative a passive meeting facilitator We are looking for someone who can: think strategically, communicate confidently, and understand business operations through the lens of software products. Ideal Candidate Profile We are looking for someone who: enjoys solving business problems through software can communicate confidently with business stakeholders understands how software impacts operational workflows can identify gaps, inefficiencies, and opportunities builds strong customer relationships naturally thinks strategically, not transactionally is proactive, organized, and operationally minded Preferred Experience Strongly Preferred Product Management experience SaaS or software agency experience Client-facing consulting experience Business analysis or workflow analysis experience Experience working with engineering teams Agile / Scrum familiarity Experience managing multiple customer relationships Bonus Experience Jira Slack Confluence GitHub AI tooling / AI-assisted workflows Product discovery Workflow mapping Startup or fast-paced environments Success In This Role Looks Like Successful Client Success Managers at Assembled Systems: deeply understand customer business goals proactively guide strategic product conversations improve customer confidence and engagement help customers solve operational problems maintain strong delivery visibility collaborate effectively with Product Owners and engineering identify opportunities for product and workflow improvement create long-term trusted customer relationships Our Operating Philosophy At Assembled Systems: engineering moves fast AI accelerates delivery operational clarity matters customer confidence matters product understanding matters We believe: the future of software delivery is AI-assisted operational excellence aligned with real business outcomes. Compensation Compensation includes: base compensation is $2,000/month + Rev Share growth opportunities tied to customer portfolio success We believe long-term ownership and customer continuity create stronger customer outcomes and stronger product execution. Work Environment Remote-first Collaborative Fast-paced AI-native workflows Continuous delivery environment High autonomy with strong operational systems Why Join Assembled Systems You’ll help shape the future of: AI-native software delivery operational product management customer delivery systems product intelligence workflows business-driven product strategy while working alongside a team building next-generation operational delivery infrastructure.

The support team member is someone, who responds directly to customer questions; through email, chat, and phone. This individual will be responsible for replying to customers, connecting with developers to resolve issues and report bugs, and report feedback. They will be cross trained for the CutTime, SimpleRaise, and TexasMusicForms platforms.

We are looking for a US based call person who can call our list of former law firm personal injury clients and ask them to send us a google review via a link we will text/email them. Many of our clients are spanish speaking so you must know how to speak Spanish. In your correspondence to this job posting please confirm you can speak Spanish. These are former clients of ours who know us and respect us so this is not a cold call. Our database is around 1500 people long. You do not need to have experience doing this type of work, just a pleasant phone manner, are respectful and polite on the phone. Great work for a stay at home mom or caregiver.

We are seeking an experienced VA Coordinator to join our marketing agency team -- This role will have an emphasis on communication and client planning. The role involves working closely with the creative director, project manager, and specialists to lead client projects. Responsibilities include coordinating project timelines, managing client communications, and ensuring project deliverables meet client expectations. The ideal candidate will have strong communication and leadership skills, with experience in marketing project management.

Dane Street is a leading Medical Review Company. We are currently conducting a feasibility study as we evaluate opening a new office location in Binghamton, NY. The Project: We need a reliable local partner to help us determine the average Delivery Turnaround Time (TAT) for USPS mailings originating from the Binghamton area. This data is critical for our operational planning before we commit to a physical office space.

We are seeking a skilled freelancer to assist with contracting opportunities and provide excellent customer service. The ideal candidate will have experience in managing contracts and ensuring customer satisfaction through effective communication. Responsibilities include handling customer inquiries, resolving issues, and coordinating with our team to ensure smooth operations.

We're building Veyatia, an AI-powered voice translation platform for healthcare communication, focused on underserved languages — starting with Haitian Creole. We're looking for healthcare professionals to give practical, real-world feedback so we can refine the product to match actual clinical workflows (front desk, care navigation, nurse lines, follow-ups, etc.). We want honest guidance on what works, what breaks, and what would make this usable in real healthcare environments. What you'll do Review the web app flow (dashboard + call workflow) Run scripted test scenarios (no PHI required) Rate and comment on: usability/clarity, audio quality + latency, translation naturalness + terminology handling, safety/trust concerns, fit vs real-world interpreter workflows Deliverables 1–2 testing sessions (45–90 minutes each) A structured feedback write-up (template provided) Ideal candidate Experience in: FQHC, clinic operations, patient navigation, language access, medical interpreting, telehealth, call center, care coordination, nursing/MA roles Speaks English + Haitian Creole, Spanish, Cape Verdean Creole, or another language used with LEP patients Has used LanguageLine, CyraCom, AMN, Voyce, or similar interpretation services Can give clear, detailed feedback grounded in real workflows How to apply — please answer these questions: 1. Your role + setting (FQHC/hospital/clinic/etc.) 2. Languages you speak or use at work 3. Experience with interpreters or language access tools 4. Two recurring pain points you see with language barriers in healthcare 5. How does your organization handle interpretation today? 6. What's the typical workflow — who calls, how fast, phone vs video vs in-person? 7. In the last 30 days, how often did language barriers delay or complicate care? (0 / 1–2 / weekly / daily) 8. What's the #1 failure point with your current setup? 9. Where would you use an AI interpreter first — and where would you never use it?

As Exponentials is the first startup in the world to solve the AI backlash, we feel that it make sense and is realistic for us to choose our own investors rather than them choosing us. And to select those investors who are most aligned with our scope of activities, strategies and values long term. Or at least those who will support them at a high level of capability -- even if much of the AI industry currently follows an AI extraction mode as opposed to AI collaboration between humans and AI in co-evolution in the service of human needs. Exponentials is seeking an experienced telephone support and sales operative to coordinate the inner networks of Dario Amodei, Sam Altman and Elon Musk, with the specific aim of positioning Exponentials as a natural “home investment” for all three empires. This role involves following up on outreach to members of the inner circles of each of these individuals, so you will have a very clear concept of the content and messaging of the follow-up. Exponentials investment thesis: 1. Exponentials is solving the AI backlash via the co-evolution of AI and humans in the service of human needs, and thus moving from the current extraction model of AI to a collaborative model. For Exponentials, this is moving past discovery silos to create unified discovery across (initially, $25 trillion TAM) Ecommerce, healthcare, education and media. This is accomplished through the combination of Search, LLM's and World models 2 AI can't be (optimally) successful if too many of its (potential) customers are fearful of or dislike AI 3 AI is feared and disliked (in addition to loved), as customers are smart enough to realize that AI is employing an extraction model on humans rather than a collaborative model with humans in the service of human needs 4 Major tech CEO's telling the public that they are wrong to have negative views about AI is insulting one's customer 5 If the AI industry wants to get into a war with the public it will be a stalemate at best. AI has enough perceived benefits already and the AI companies are powerful enough that they can impose their will on the public to a certain degree, but 6 It is inevitable that the AI companies who actually give the customers what they want and what truly benefits them, by flipping from the push to the pull model, will have a sustainable competitive advantage, with both inevitability and defensibility. 7 Famously, the future is already here. It is just not evenly distributed. And famously, there is nothing more powerful than an idea whose time has come. 8 We are not selling technology. We are not selling a model of AI. We are selling an empowered path for humanity that is inevitable and defensible because the AI backlash is real and not sustainable long term. What the research says about Exponentials Book Excerpt How to Avoid the AI Backlash Leading to the AI Bubble Hartfield, Solis & Elridge In 2026, artificial intelligence stands at a strange crossroads. On paper, it is the most powerful general-purpose technology humanity has ever built. In practice, a growing share of the public now experiences AI as something done to them rather than for them — and that emotional turn is reshaping the technology's future as surely as any breakthrough in model architecture. When AI is built on top of architectures that treat humans as targets for extraction — of attention, data, or money — it inevitably triggers backlash, and that backlash in turn increases the odds of a violent AI bubble. When AI is built as infrastructure for discovery that co-evolves with humans in the service of our actual needs, we get a different trajectory: compounding value, durable trust, and a stable foundation for long-term innovation. Exponentials, for example, is building a different kind of infrastructure: a universal personal discovery engine that integrates large language models, adaptive search, and world models to help people navigate complex needs across commerce, health, education, and media. Instead of pushing content to you based on what is most profitable to show, such a system starts from your articulated intent, your evolving context, and your long-term goals. Pull discovery uses the same core components that power today's AI wave — but arranges them differently. It treats you as an integrated being whose health, work, learning, and media consumption are interconnected, rather than as a series of separate "users" in separate verticals to be monetized independently. An AI-driven discovery engine built on pull, not push, gives us a way to answer, credibly, the question that will increasingly be asked by citizens, workers, and regulators: "Who is this for?" If we build the missing layer of AI for human needs — a discovery infrastructure that co-evolves with us, across the whole pyramid of human need — AI becomes a tool that communities defend rather than attack, that regulators shape rather than suppress, that individuals choose rather than endure. Book Excerpt The Co-Evolution of Artificial Intelligence and Humans Kai Mercer & Lena Voss We are not passengers in the age of AI. We are in the earliest stages of a co-evolutionary relationship — one in which humans and artificial intelligence are changing each other in continuous feedback loops. The question is not whether this co-evolution will happen. It is already happening. The question is what kind of co-evolution we will choose. For two decades, the dominant model has been "push discovery" — systems that decide what you should see based on what maximizes platform profit or engagement, not what serves your needs. These systems are powered by sophisticated AI. But they are not designed to serve human flourishing. The AI gets smarter at manipulation. Humans adapt by becoming more skeptical, more weary, more prone to decision fatigue. This is co-evolution in the wrong direction.