Carmen Gutierrez Martinho

OneDigital saved $120,000 year and reclaimed 40% of their recruiters' time. VP of People Innovation & Tech John Bruce explains how OneDigital leverages Paradox, Workday, and HiredScore to scale hiring for 30+ annual acquisitions. Watch the full story: https://lnkd.in/eSy9pSyk

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In Silicon Valley and beyond, speed isn’t optional — it’s survival. Waiting months to hire the “perfect” AI engineer can delay your #MVP, slow your time-to-market, and cost you a competitive edge. Outstaffing solves this problem: 🌐 Rapid team scaling: Onboard pre‑vetted #AI engineers or data scientists in weeks, not months. ⚡️ Faster MVP → faster time-to-market: Launch prototypes and iterate before the market catches up. 💡 Cost-efficient access to talent: Scale your team flexibly without the overhead of full-time local hires. 📈 Case in point: Companies leveraging outstaffing have expanded their AI teams by 10+ experts in under 6–7 weeks — turning hiring from a bottleneck into a growth lever. Our AgileSoft Europe outstaffing services give #Californian startups and tech companies instant access to skilled AI teams, fully integrated and ready to drive innovation — so you can focus on product, strategy, and speed. 💬 You don’t need to slow down innovation because of hiring delays. With our support, your AI projects move faster, smarter, and more efficiently.

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In Silicon Valley and beyond, speed isn’t optional — it’s survival. Waiting months to hire the “perfect” AI engineer can delay your #MVP, slow your time-to-market, and cost you a competitive edge. Outstaffing solves this problem: 🌐 Rapid team scaling: Onboard pre‑vetted #AI engineers or data scientists in weeks, not months. ⚡️ Faster MVP → faster time-to-market: Launch prototypes and iterate before the market catches up. 💡 Cost-efficient access to talent: Scale your team flexibly without the overhead of full-time local hires. 📈 Case in point: Companies leveraging outstaffing have expanded their AI teams by 10+ experts in under 6–7 weeks — turning hiring from a bottleneck into a growth lever. Our AgileSoft.kz outstaffing services give #Californian startups and tech companies instant access to skilled AI #teams, fully integrated and ready to drive innovation — so you can focus on product, strategy, and speed. 💬 You don’t need to slow down innovation because of hiring delays. With our support, your AI projects move faster, smarter, and more efficiently.

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Most TA teams have solved the basics, but the best ones go deeper. If your hiring process still hits invisible roadblocks, you're not alone. The truth is, elite talent acquisition teams aren't just reacting to problems, they’re preventing them before they start. From friction mapping and predictive agility, to market intelligence and recruiter enablement, high-performing teams treat RPO recruiting and talent acquisition as strategic functions — not back-office tasks. In our latest blog, we break down: ✔️ What elite TA teams do differently ✔️ How to identify high-cost bottlenecks ✔️ Why recruitment process outsourcing companies are leading this shift ✔️ How to turn good hiring practices into great ones Not sure where to begin? Start with our TA Maturity Assessment and your shortcut to identifying hidden inefficiencies and unlocking smarter, faster hiring. Swipe the carousel for key insights, then head to the blog (link in comments) to dive in. #RPO #RPORecruitment #WhatIsRPO #RecruitmentProcessOutsourcing #ContingentEmployee #RPOHiring #TAMaturity #TalentStrategy #LevelUPHCS

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Chris Hyne steps down as Indeed CEO! We discuss Indeed's struggles with layoffs, product pivots, and quality issues. Can the former CEO course-correct in the age of AI? #IndeedCEO #JobAdvertising #Layoffs #ProductPivot #AIinHR #HiringChallenges #RecruitHoldings #Glassdoor #JobSearch #HRForecast

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The hardest part of adopting AI in recruiting isn’t the tech. It’s knowing what problem you’re actually solving. There is so much hype right now. Every platform claims autonomy. Every demo looks promising. Every TA team is looking to integrate some aspect of AI into their day to day. But when we examine how AI actually operates inside the hiring system, the real questions are usually: • Where is AI actually embedded in the workflow? • Is the constraint coordination, sourcing volume, data quality, or role nuance? • How much autonomy is the team truly ready to hand over? Increasingly, the work we’re doing at ModelExpand is helping companies demystify AI in recruiting and answer these questions. We’re seeing tools like Gem, Juicebox, Tezi AI, and Wrangle each solve very different problems across the recruiting stack. The challenge is less about which tool is “best” and more about what platform is most compatible with your current TA team and tech stack. So we’re curious: • What AI tools are you currently using in recruiting? • What is actually working in practice versus just sounding good in theory? • Where are you seeing measurable impact? Would love to compare notes with other talent leaders navigating this shift. As we continue working through these questions with teams, we’re building a guide called DeMystifying AI for TA Organizations. Comment “DeMystify” below if you are interested to get the guide once completed.

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Custom builds might look perfect in a demo. But once your TA team actually has to use the system, it’s a different story. Some teams opt for customization, believing it will fit their hiring process more precisely. Others opt for standard platforms and get moving right away. Both paths promise results, but they play out very differently once the program goes live. One gives you control. The other gives you speed. Which one actually delivers hires?  Click the link in the comments to learn more. 👇

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