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Mark Wallace posted thisSenior TPM - Remote US only/ EST or CST - Contract with strong CTH possibility. No Third Parties!!! The hardest subscription problems aren't growth problems. They're systems problems. Someone signs up on mobile. Pays through Apple. Logs in on web. Hits a paywall. Gets an email from Braze. Triggers events in analytics. Updates consent preferences. And somehow all of those systems need to work together flawlessly. Most companies discover the complexity after they've scaled. I'm working with a digital media company looking for a Senior Technical Product Manager to own the infrastructure behind subscriber acquisition, monetization, retention, identity, analytics, and customer lifecycle systems. This is not a backlog-management role. This is for someone who understands how subscription businesses actually work under the hood. You'll work across: • Subscription and billing systems • Apple & Google in-app purchases • Identity, authentication, OAuth, OpenID Connect • Braze, Piano, lifecycle automation • Analytics, event instrumentation, conversion funnels • Consent management, GDPR, CCPA • API integrations and cross-platform data flows Strong fit if you've built products in: • Digital media • Publishing • Streaming • SaaS subscriptions • Membership platforms • Consumer subscription businesses Remote role. East Coast preferred. Contract position with a clear path to full-time conversion. US Citizen or Green Card holders only. If you've spent your career making complex subscription ecosystems actually work, I'd like to connect.
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Mark Wallace posted thisMultiple Founding Engineer needs. San Fran.. Most robotics companies are optimizing the wrong thing. Everyone wants bigger models. Bigger VLMs. Bigger datasets. Bigger clusters. But in the real world, robots don't fail because the model wasn't smart enough. They fail because the system wasn't deterministic enough. Latency spikes. Dropped packets. Sensor synchronization issues. Timing drift. Data pipelines that behave differently under load. Hardware and software teams blaming each other. The reality is this: A 5% better model rarely matters if your robotics stack isn't reliable. The teams that win will be the ones that can make real robots behave predictably in messy environments. That means: • Kernel engineers • Embedded software engineers • Systems engineers • Infrastructure engineers • Robot learning engineers • VLA researchers who actually deploy The future of robotics won't be built by people publishing papers. It will be built by people who can close the loop from data → training → deployment → autonomous improvement on real hardware. We're helping a well-funded robotics startup hire founding engineers across both domains: 1 year of Robotics from a top company or degree from top university. • Founding Software Engineers (Rust, C++, Linux, embedded systems, infrastructure) • Founding ML Engineers (VLA, diffusion policies, imitation learning, RL, robot learning) Small team. Real robots. Massive ownership. If you've shipped systems where failure had consequences outside of a simulator, I'd love to connect. #Robotics #PhysicalAI #EmbodiedAI #MachineLearning #RobotLearning #SystemsEngineering #EmbeddedSystems #AutonomousSystems #VLA #ArtificialIntelligence
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Mark Wallace posted thisA huge percentage of robotics problems eventually become firmware problems. Latency. Synchronization. Motor control. Sensor timing. Board bring-up. Fault handling. Real-time reliability. This is the layer where “the robot should work” becomes: “the robot actually works.” And the number of embedded engineers who can operate at a high level in modern robotics environments is incredibly small. Especially people with experience around: •real-time systems •low-level C/C++ •motor control •CAN / SPI / I2C / EtherCAT •hardware bring-up •custom PCB integration •edge compute •synchronization across sensors, cameras, and actuators I’m currently working with several robotics and physical AI companies hiring Senior and Staff-level firmware/embedded engineers. These are highly technical, high-ownership environments where firmware is directly tied to robot capability and deployment reliability. Most roles are: •Bay Area •highly on-site •well-funded •building real deployed systems Comp is strong. Equity is meaningful. I’m also opening referral incentives for exceptional embedded and firmware talent. If you know engineers who thrive at the hardware/software boundary, I’d love to connect. #Firmware #EmbeddedSystems #Robotics #MotorControl #PhysicalAI #RealtimeSystems #EmbeddedEngineering #HumanoidRobotics
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Mark Wallace posted thisMost robotics companies do not fail because the demo looked bad. They fail because the robot cannot survive the real world. The actuator overheats. The wiring harness breaks. The board spins take too long. The motor control loop is unstable. The sensor stack drops frames. The robot works in the lab, then falls apart in a manufacturing or logistics environment where uptime, latency, thermal behavior, signal integrity, and mechanical durability actually matter That is why hardware roles in robotics are becoming some of the hardest searches in the market right now I’m working with a stealth autonomous robotics company in San Francisco that is building robots for industrial deployment. Not research theater. Not a nice demo for a funding video. Real robots that need to operate in real environments, with real reliability expectations. They are hiring across three critical hardware areas: Senior/Staff Mechanical Engineers This is for builders who can own actuator design, end-effectors, load-bearing assemblies, full robot integration, CAD, FEA, prototyping, fabrication, and DFM. Strong fit if you have taken mechanical designs from concept through manufacturing and deployment, especially in robotics, autonomous systems, aerospace, consumer hardware, or high-performance electromechanical products. Electrical Engineers This is for engineers who can own PCBAs, power systems, motor drive integration, sensor electronics, robot wiring architecture, signal integrity, EMC/EMI, and board bring-up. Strong fit if you have designed and brought up real electronics from schematic through deployed product, including complex multilayer boards, robotics electronics, Nvidia compute modules, industrial comms, or high-speed digital systems. Senior Firmware Engineers This is for firmware engineers who can own the embedded layer between custom hardware and the software stack. C/C++, RTOS or bare-metal, motor control, PID/FOC tuning, CAN, SPI, I2C, UART, USB, EtherCAT, PCB bring-up, hardware debugging, latency, synchronization, and real-time control systems. Strong fit if you can debug with a scope, read schematics, tune control loops, and own firmware end-to-end on real robot hardware. The company is early, well-funded, and moving extremely fast. Small team. High ownership. On-site in San Francisco. Comp is $200K–$350K+ plus equity depending on level. Visa sponsorship and relocation are available for some roles. The bar is not “worked near robotics.” The bar is: Can you build? Can you move fast? Can you own real hardware? Can you point to things you personally designed, debugged, shipped, or deployed? If you are a mechanical, electrical, or firmware engineer who wants to help build the hardware foundation for autonomous robots in industrial environments, message me. These are not passive, low-intensity roles. They are for people who want to build at the edge of what currently works. #Robotics #ElectricalEngineering #MechanicalEngineering
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Mark Wallace posted thisEveryone talks about AI models in robotics. Almost nobody talks about the infrastructure required to ship them. But in real robotics teams, DevOps is not just “cloud stuff.” It is the difference between: A researcher waiting 45 minutes for a build A robotics engineer losing a day to a broken pipeline A release getting blocked because packaging is messy A hardware team unable to run reliable HIL tests A robot sitting idle because software deployment is painful That is why some of the most important hires in robotics right now are not always ML researchers or controls engineers. They are the people building the systems that let those teams move faster. I’m working on multiple Senior DevOps / Build Infrastructure roles with frontier robotics companies right now. Locations include Austin, TX and San Mateo, CA. These teams need people who can work close to the actual engineering stack: Bazel / Skylark CI/CD Kubernetes Terraform / Ansible Linux systems Python / Bash Artifact distribution Release engineering SIL / HIL testing ARM / aarch64 cross-compilation Cloud plus on-prem infrastructure Developer tooling for robotics teams This is not traditional IT. This is the infrastructure layer behind robot software getting built, tested, released, and deployed in the real world. One team is building humanoid robots. Another is building general-purpose robotic intelligence. Both need DevOps engineers who understand that faster builds, cleaner releases, and better developer tooling directly impact how quickly robots get into the field. If you are a Senior DevOps, Platform, Build, Release, or Infrastructure Engineer who wants to work closer to robotics, I’d like to talk. Especially if you’ve worked in embedded systems, robotics, autonomy, hardware-heavy environments, or large multi-language codebases. Comp can reach up to 200-$300K depending on fit and level. message me directly.
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Mark Wallace posted thisMost robotics companies do not fail because the demo looked bad. They fail because the robot cannot survive the real world. The actuator overheats. The wiring harness breaks. The board spins take too long. The motor control loop is unstable. The sensor stack drops frames. The robot works in the lab, then falls apart in a manufacturing or logistics environment where uptime, latency, thermal behavior, signal integrity, and mechanical durability actually matter That is why hardware roles in robotics are becoming some of the hardest searches in the market right now I’m working with a stealth autonomous robotics company in San Francisco that is building robots for industrial deployment. Not research theater. Not a nice demo for a funding video. Real robots that need to operate in real environments, with real reliability expectations. They are hiring across three critical hardware areas: Senior/Staff Mechanical Engineers This is for builders who can own actuator design, end-effectors, load-bearing assemblies, full robot integration, CAD, FEA, prototyping, fabrication, and DFM. Strong fit if you have taken mechanical designs from concept through manufacturing and deployment, especially in robotics, autonomous systems, aerospace, consumer hardware, or high-performance electromechanical products. Electrical Engineers This is for engineers who can own PCBAs, power systems, motor drive integration, sensor electronics, robot wiring architecture, signal integrity, EMC/EMI, and board bring-up. Strong fit if you have designed and brought up real electronics from schematic through deployed product, including complex multilayer boards, robotics electronics, Nvidia compute modules, industrial comms, or high-speed digital systems. Senior Firmware Engineers This is for firmware engineers who can own the embedded layer between custom hardware and the software stack. C/C++, RTOS or bare-metal, motor control, PID/FOC tuning, CAN, SPI, I2C, UART, USB, EtherCAT, PCB bring-up, hardware debugging, latency, synchronization, and real-time control systems. Strong fit if you can debug with a scope, read schematics, tune control loops, and own firmware end-to-end on real robot hardware. The company is early, well-funded, and moving extremely fast. Small team. High ownership. On-site in San Francisco. Comp is $200K–$350K+ plus equity depending on level. Visa sponsorship and relocation are available for some roles. The bar is not “worked near robotics.” The bar is: Can you build? Can you move fast? Can you own real hardware? Can you point to things you personally designed, debugged, shipped, or deployed? If you are a mechanical, electrical, or firmware engineer who wants to help build the hardware foundation for autonomous robots in industrial environments, message me. These are not passive, low-intensity roles. They are for people who want to build at the edge of what currently works. #Robotics #ElectricalEngineering #MechanicalEngineering
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Mark Wallace posted thisThe best robotics engineers are rarely applying to jobs. They’re usually: •deep in a lab •debugging hardware at 11 PM •tuning controllers •optimizing inference •bringing up sensors •dealing with production failures •fixing systems that broke in the real world Which is exactly why some of the hardest engineering hires right now are happening almost entirely through trusted networks. I’m currently hiring for multiple Senior and Staff-level roles across: •humanoids •embodied AI •robotics infrastructure •autonomy •controls •embedded systems •perception •manipulation •electrical systems And honestly, some of these searches are brutal. The people who can truly build and ship these systems are extraordinarily rare. So I’m doing something simple: I’m opening referral incentives across many of these roles. If you know exceptional engineers who: •ship real systems •thrive in high-intensity startups •like difficult technical problems •want to build things that matter …I want to talk to them. Strong compensation. Strong equity. Mostly on-site. Mostly frontier robotics and physical AI. Meaningful referral fees available for successful hires. DM me privately. #Robotics #PhysicalAI #EmbodiedAI #Engineering #HumanoidRobotics #EmbeddedSystems #ArtificialIntelligence #Hiring
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Mark Wallace posted thisMost full-stack engineers never get close to the physical world. They build dashboards. They build internal tools. They build observability systems. They build real-time workflows. But usually the consequence of failure is a bad user experience. In robotics, it is different. A broken alert can stop a deployment. A laggy video feed can make intervention impossible. A weak dashboard can hide a robot failure until the customer sees it first. A bad internal tool can slow down an entire fleet. This is why full-stack engineering in robotics is becoming one of the most underrated roles in autonomy. The robots do not just need better models. They need the infrastructure around the models to actually work in production. Fleet management. Observability. Monitoring. Teleoperation. Live camera feeds. Robot controls. Deployment workflows. Real-time debugging tools. Customer operations systems. That layer is what turns a robotics demo into a robotics company. I’m hiring Full-Stack Engineers for a stealth autonomous robotics company in San Francisco building bimanual manipulation robots for real manufacturing and logistics environments. This is not research-only. They are deploying into industrial sites. They own hardware, ML, and deployment infrastructure end-to-end. The team is 14 people with roots from Palantir, xAI, Mercor, Ramp, Midjourney, and Founders Fund. The environment is intense. 6 days per week in office in San Francisco. Very long hours. Not a 9-to-5 role. Not remote. Not for someone looking for a balanced corporate environment. But for the right builder, this is a chance to own the real-time product layer that keeps autonomous robots operating in mission-critical environments. Stack: React TypeScript Python PostgreSQL Docker Kubernetes Strong signals: Startup product engineering Real-time systems Streaming video WebSockets Cloud infra Internal tooling Operator-facing tools Robotics, autonomy, or logistics systems Comp: $200K to $350K base Competitive equity H-1B transfers considered case by case San Francisco, onsite If you are a full-stack engineer who wants to build software that touches the real world, not just another SaaS workflow, this is worth a conversation. DM me or comment “robotics” and I’ll send details. #Robotics #PhysicalAI #FullStackEngineering #AutonomousSystems #EngineeringHiring
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Mark Wallace posted thisThe next bottleneck in AI is not generating text. It’s making intelligence work in the physical world. That means: •perception that survives outside controlled environments •models that run in real time •systems that can reason over action and motion •robots that can adapt to unseen situations •inference that works on edge compute •training infrastructure that scales And the people capable of building those systems are becoming incredibly scarce. I’m working with several high-bar robotics and physical AI companies hiring: •Senior AI Researchers •Staff ML Engineers •Embodied AI Researchers •World Model Engineers •VLM/VLA Engineers •Real-Time Inference Engineers •Robotics Foundation Model Researchers These are not “research playground” roles. These teams are deploying systems into the real world. Most roles are: •Bay Area •NYC •Austin •Houston •Boston •highly on-site •extremely well funded Comp can reach well into the mid/high six figures with equity for the right people. I’m opening generous referral incentives for these searches as well. If you know engineers or researchers who have actually built and deployed embodied AI systems — especially in robotics, AV, edge AI, or real-time inference — I’d love to connect. DM me. #EmbodiedAI #PhysicalAI #Robotics #MachineLearning #WorldModels #VLM #VLA #ArtificialIntelligence #DeepLearning #Inference #RoboticsAI
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Mark Wallace liked thisMark Wallace liked thisI've been reading about Facebook's decline for a while. Now I can see it firsthand — on LinkedIn. The boomers have migrated. And they brought everything with them: cat videos, political rants, and motivational quotes that smell suspiciously like ChatGPT had a bad day. Half the content on my timeline right now would have been unremarkable on Facebook circa 2016. On LinkedIn in 2026, it's just... confusing. Two questions for the cat video crowd: 1. How much free time do you actually have? 2. Do you think a recruiter seeing that is going to call you faster? I'm not the LinkedIn police. Post what you want. But maybe — just maybe — do the rest of us a favor and think twice before hitting publish on that "Monday morning, I need coffee ☕😂" carousel. We're all out here trying to find signal in the noise. You're adding noise.
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Mark Wallace liked thisMark Wallace liked thisIt's only a matter of time before the first human sets foot on Mars - and we're excited about it. Here's what it would take to actually make Mars habitable: https://lnkd.in/gi7ZY58x
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Mark Wallace liked thisMark Wallace liked thisWhy don’t we put solar panels over parking lots instead of fields? Parking lots are already covered in concrete, sit under the sun all day, and could generate electricity while also providing shade for cars. The catch is that solar parking canopies are much more expensive to build. A solar farm in an open field is cheaper, simpler, and easier to maintain at scale. That is why we see so many solar farms on land instead of above existing infrastructure. Still, it raises an interesting question about how we use space. Should energy infrastructure compete with farmland and open land when millions of parking spaces already exist? Perhaps the answer is neither. Countries are already experimenting with floating solar farms on lakes and reservoirs, offshore solar, solar integrated into buildings, and even concepts for solar power in space. One thing is certain: we are going to need far more energy than ever before, and somehow it still never feels like enough. Follow Endrit Restelica for more.
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Mark Wallace liked thisMark Wallace liked thisCould robot soldiers actually make us safer? Our CEO Sankaet Pathak's answer might not be what you expect. https://lnkd.in/gs9KuF_7
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Purpose. The propose of the Club is to establish and maintain mutually beneficial relationships between the University of Miami, hereafter referred as the “University,” the UMAA and its alumni residing or working in the greater Atlanta area, and persons with an interest in the welfare of the University of Miami. The Club links alumni, the University, the UMAA, and the friends of the University through sponsoring a wide variety of programs and benefits that foster a spirit of loyalty, involvement, and life-long commitment to the University of Miami.
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Jim Bright
GTN Technical Staffing • 10K followers
𝗔𝗜 𝗥𝗢𝗜: 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗰𝗼𝘀𝘁𝘀 𝘃𝘀 𝗼𝘂𝘁𝗽𝘂𝘁. Links in the first comment. In December 2025 Microsoft rolled out broad internal access to Anthropic’s Claude Code to thousands of engineers and other staff, encouraging experimentation. Adoption was very high and rapid. Now token-based pricing is driving Microsoft to canceling most of those direct Claude Code licenses, primarily in the Experiences + Devices division (Windows, Microsoft 365, Teams, Outlook, Surface teams). Engineers are being directed to switch to Microsoft’s own GitHub Copilot CLI instead. (Microsoft has a separate multi-billion-dollar strategic deal with Anthropic (including up to $5B investment via their Foundry partnership), which is unaffected.) Uber rolled out Claude Code in December 2025 to its roughly 5,000-engineers. By March 2026 about 70% of committed code came from AI systems. CTO Praveen Neppalli Naga told The Information (April 2026): “I’m back to the drawing board because the budget I thought I would need is blown away already.” Heavy users burned $500–$2,000/month each; Naga personally spent $1,200 in a single two-hour demo session. They had even gamified usage with internal leaderboards. In late April 2026, Bryan Catanzaro, VP of Applied Deep Learning at Nvidia, told Axios: “For my team, the cost of compute is far beyond the costs of the employees.” This at the company that makes GPUs. Internal gamification at other companies: • Meta built (then shuttered) an internal leaderboard called “Claudeonomics” ranking 85,000+ employees by token consumption. Top 250 “super users” got titles like “Token Legend.” In one 30-day period it tracked ~60 trillion tokens. Some employees gamed it (“tokenmaxxing”). • Amazon pushed aggressive AI usage targets and internal leaderboards; the term “tokenmaxxing” (maximizing token spend to hit metrics) originated/spread here. Some engineers ran trivial tasks through agents just to inflate their numbers (normal human behavior – you will always get more of what you reward). The Forecasts (Goldman Sachs + Gartner): • Goldman Sachs Research (May 2026): Agentic AI is forecast to drive a 24x increase in global token consumption by 2030 (to ~120 quadrillion tokens/month). • Gartner (2026 reports): Per-token/inference costs for large models will drop >90% by 2030, but total enterprise AI spend will still rise because agentic systems consume 5 to 30x more tokens per complex task than simple chatbots. The push into aggressive AI coding/agent adoption saw genuine productivity jumps. However, the variable, usage-based token pricing created nasty surprises. 𝗧𝗵𝗲 𝗶𝗻𝗲𝘃𝗶𝘁𝗮𝗯𝗹𝗲 𝗵𝗮𝘀 𝗮𝗿𝗿𝗶𝘃𝗲𝗱: 𝗰𝗼𝘀𝘁 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻.
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Bobby Kazar
Kforce Inc • 2K followers
Businesses are moving from legacy systems to modern lakehouse architectures and unlocking real value with platforms like #Databricks and #Snowflake. Our Kforce Consulting Solutions data and AI leaders share how industries are applying these technologies to detect fraud, automate insurance workflows, forecast energy demand, personalize retail and strengthen supply chains: https://kfrc.co/4kTELfZ
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Billy Greenall
Clarity R2R • 16K followers
Another beautiful process wrapped up in New York. Clarity R2R recently partnered with a founder-led boutique operating at an elite level in the AI and Software Engineering space. They offered to pay a flat 30% on total comp to see our best folks on a contingent basis. Fast forward just 6 weeks, they've secured a new VP that genuinely falls into the "A-player" category. 18th February - profile presented 12th March - offer signed All with a 3 stage interview process and trip to New York in between. High interest from both parties. Flexibility to align diaries. Urgency from all involved. Processes like these make the difficult ones worth it 🙏 Clarity R2R | James Ward | Marcus Davies
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Chris Russell
RecTech Media • 10K followers
THIS WEEK IN REC TECH is powered by Dalia and Jobcase, Inc. Vendors making news this week... * JDEXPERT adds new features * Workday helps map military skills * Boomband lands seed funding $$$ * Apploi is acquired * DHI Group, Inc. reports financials LISTEN: https://lnkd.in/eVrZPxaE
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Chris Schatz
Zones, LLC • 2K followers
Happy New Year!! 2026 isn’t going to be just another year, it’s a turning point for IT staffing. While AI is reshaping the landscape, the human element remains irreplaceable. Here’s why the future looks bright for our industry… 🌟 2026 Outlook The IT staffing market is projected to hit $127.8B next year, with demand for cloud, AI/ML, cybersecurity, and generative AI roles skyrocketing. Generative AI positions alone are expected to grow at 11–12% CAGR by 2031. Why This Is Good News Flexibility wins: Contract staffing and hybrid workforce models are becoming the go-to for companies balancing budgets and transformation. AI helps, not replaces: Tools make hiring smarter, but trust, empathy, and cultural fit? That’s still human, always will be. Reskilling matters: Upskilling in cloud, AI ethics, and cybersecurity keeps talent competitive. AI Adoption in Staffing Did you know 61% of staffing firms are already using AI, up from just 48% last year and that number was expected to reach 75% by the end of 2025? AI isn’t a future trend it’s now part of our DNA. Contract Staffing on the Rise The global contract staffing market is projected to reach $512B in 2026, growing at a 6.7% CAGR through 2035. Flexibility and niche expertise are becoming critical to workforce strategy. How Zones IT Staffing Augmentation Solutions Help At Zones, we partner with clients to deliver agile, scalable staffing solutions that align with their business goals. Access to Specialized Talent: From cloud architects to AI engineers, we can provide the expertise you need when you need it. Budget-Friendly Models: Our augmentation approach helps optimize costs without sacrificing quality or speed. Human-Centered Approach: While we leverage AI for efficiency, our recruiters focus on building relationships and ensuring cultural fit, because trust and collaboration drive long-term success. Always My Why: Relationships Are the Bedrock For me, over the last 15+ years in the industry, staffing has never been just about filling roles, it’s about building relationships that last. Every conversation, every partnership, every placement is rooted in trust and understanding. Technology can speed up the process, but human connection is what makes it meaningful. That’s always been my “why,” and it’s what drives every decision I make. The Big Picture AI will accelerate processes, but relationships remain the cornerstone of success. Predictive staffing powered by AI + human connection = a winning formula for 2026 and beyond. "Artificial Intelligence will amplify human potential, not replace it. The future belongs to those who combine technology with empathy." Will AI change how we build relationships in staffing, or will it make them even stronger? The future of staffing isn’t AI vs. humans, it’s AI + humans. Together, we’re building smarter, stronger, and more connected teams. Drop your thoughts below 👇
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Michael Paul
Talent Quest | Local… • 8K followers
Beyond the Hype: Real Talk on US Staffing Trends for Early 2026 As we move through the first half of 2026, the US staffing industry continues its dynamic evolution. While the hiring frenzy of previous years has stabilized, we're seeing a market that's far from stagnant – it's maturing, demanding more strategic agility and deeper expertise from us all. Here’s what I'm observing and focusing on right now: Skills-First, Not Just Degrees-First: The emphasis on practical skills, certifications, and demonstrable experience over traditional academic paths is accelerating. Companies are prioritizing what candidates can do over where they went to school. This means sourcing strategies needed to adapt to identify diverse talent pools. Hybrid & Remote Dominance (with a Twist): While hybrid and remote work models are firmly entrenched, we're seeing more nuanced approaches. Employers are refining policies, often requiring occasional in-person collaboration, particularly for senior leadership or specific project phases. Flexibility remains key, but "fully remote" is becoming more strategic than universal. The AI Integration Imperative: AI isn't just a buzzword; it's becoming an indispensable tool across the staffing lifecycle. From intelligent resume parsing and candidates matching to automating administrative tasks, those who leverage AI effectively will gain a significant competitive edge in efficiency and candidate quality. Talent Mobility & Retention Challenges: Even in a more stable market, top talent remains fluid. Companies are keenly focused on internal mobility programs and robust retention strategies. Staffing firms have a crucial role in not just placing candidates, but also consulting clients on creating environments where talent thrives and stays. Specialization Reigns Supreme: Generalists will find it tougher. Clients are looking for staffing partners with deep industry or functional expertise. Niching down and becoming a true expert in a specific domain (e.g., AI/ML engineers, specific healthcare roles, cybersecurity) will be a differentiator. The first half of 2026 is about intelligent growth, strategic partnerships, and embracing innovation. What trends are you seeing impact your hiring or job search the most right now? Share your thoughts below! #USStaffing #TalentAcquisition #HiringTrends #Recruiting #FutureOfWork #2026Outlook
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Charles Bishop
Connexis Search Group • 14K followers
I’m noticing a shift in how companies are approaching AI. The conversation isn’t about new tools. It’s about making systems they already use — like CRMs — easier to work with. When AI reduces friction inside existing workflows, adoption speeds up quickly. Most teams don’t need more software. They need fewer manual steps. #AIinBusiness #Productivity
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Elliott Manning
Kayman Recruitment • 35K followers
It's the perfect time to catch up with our latest Search Pod episode, featuring our newest guest, Logan Pudalov, Head of U.S. Business at Quantum Technology Recruiting Inc. (QTR) In this episode, we discuss navigating tech recruitment, hiring challenges, plans for 2026 and more! Listen in right here 👇 Spotify - https://lnkd.in/ehx9EHQ6 YouTube - https://lnkd.in/e24zEBwX Apple - https://lnkd.in/egqnAizZ Amazon - https://lnkd.in/e5iuABbp - - - - - - - - - - THE SEARCH PODCAST is proudly sponsored by Ascen. Ascen's all-in-one platform is fully white-labelled and handles onboarding, payroll, invoicing, insurance, benefits, and optional embedded payroll funding.
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Daniel Mastropolo
Vensure Employer Solutions • 7K followers
I joined Tim Ratliff, VP of Technology and Innovation, and Jason Smith, President of Avionté+, a little while back for a conversation on how APIs are reshaping staffing operations. We discussed: What APIs actually do for staffing firms How automation can improve efficiency and candidate experience Best practices for integrating Avionté API+ with your ATS, VMS, payroll, and more If you’re looking to connect your tech stack, cut down on manual work, and empower your recruiters, this is a must-watch. Watch the full discussion here: https://lnkd.in/exEBUKXy #StaffingIndustry #Automation #API #Technology #StaffingTech Avionté Staffing Software #Avionte
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Chris Scowden
StaffingAgent.ai • 12K followers
While you're dealing with permission conflicts and data silos, competitors with standardized Bullhorn configurations are capturing placements faster and scaling more profitably. What I've learned after helping hundreds of multi-office firms through this transition is that the technology is not the problem. It's the lack of standardized processes before you scale. Our blog walks through exactly how to configure Bullhorn for multi-office growth without slowing down your momentum. If you're planning to expand or already struggling with multi-office chaos, this one will save you months of headaches. Link in comments.
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Ty Rivas
System One • 20K followers
Inside mature MSP programs, growth isn’t driven by activity. It’s driven by alignment and predictability. Over time, suppliers separate into two categories: Transactional Supplier • High submittal activity • Req-driven execution • Reactive escalation • Inconsistent performance patterns Strategic MSP Partner • Calibrated, high-conversion submissions • Aligned to workforce plan & program goals • Conversion-metric focused (interview ratio, quality index) • Proactive risk identification • Predictable performance & delivery discipline The difference isn’t effort. It’s operating discipline. 🤔What characteristics matter most in your program reviews right now? #MSP #WorkforceStrategy #SupplierPerformance #EnterpriseHiring
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