WorkTech Podcast

The WorkTech Podcast explores the critical trends shaping the future of work and HR tech. George LaRocque of WorkTech, drawing from years of advising top innovators, investors, and enterprises, guides you through market deals, issues, opportunities, and trends—all through a strategic, actionable lens.

  1. hace 4 días

    The End of the "Sentiment" Era: How Big Data Kills Pay-to-Play Employer Badges

    In this episode of the WorkTech Podcast, host George LaRocque sits down with Rajiv Chandrasekaran, Founder and Managing Director of Where You Work Matters and Managing Director at the Schultz Family Foundation, for an unvarnished look at a fundamental paradigm shift in human resources: the death of the "employee sentiment" era. Chandrasekaran, a former senior journalist at The Washington Post who later spent years working alongside Starbucks leader Howard Schultz to scale frontline economic opportunity, brings a pragmatic, data-first perspective to labor market quality. Built as a philanthropic collaboration between the Schultz Family Foundation, Matt Sigelman’s Burning Glass Institute, and Harvard Business School’s Managing the Future of Work project led by Joe Fuller, Where You Work Matters (WYWM) delivers an empirical, big-data autopsy of the American career path. Replacing Survey Guesswork with Hard Outcomes For decades, the HR technology space has relied heavily on annual employee surveys, sentiment analysis, and pay-to-play "Best Place to Work" badges. As LaRocque notes on 1WorkTech, employee sentiment is merely a snapshot of how workers feel on a given day, often masking stagnant wages, lack of promotion, and systemic career paralysis. Where You Work Matters renders these legacy self-reporting mechanisms obsolete by replacing subjective opinion with verified worker outcomes. Instead of asking companies to submit PR surveys or querying small sample groups about their mood, the WYWM engine analyzes the actual career progressions of over 12 million American workers across 1,750 of the country's largest public, private, and non-profit employers over a five-year period. By mining hundreds of millions of data points—including Burning Glass career history data, LinkedIn profiles, online resumes, Lightcast job postings, and Glassdoor compensation sets—the platform uses advanced algorithms to normalize job titles. This allows the index to perform true "apples-to-apples" comparisons at the occupational level rather than treating corporate brands as monoliths. Role-Level Realities and Frontline Mobility EnginesAssessing nearly 55,000 unique occupations across Early Career, Growth Stage, and Stability archetypes, the initiative proves that two workers doing the exact same job can experience radically different career trajectories based purely on employer practices. Comparing workers in platinum-rated occupations against peers in average unrated roles for the same job, workers in platinum roles are 26% more likely to stay past three years, 68% more likely to be promoted internally within five years, and earn 48% more in total compensation. For a standard administrative assistant, working at a platinum-rated firm versus an unrated company translates to an extra $1.2 million in lifetime compensation. The data also reveals that "sector is not destiny". Out of 138 financial services firms evaluated for financial analysts, only six earn platinum ratings across all three archetypes. Meanwhile, 27 non-financial enterprises—such as Nike, General Mills, and Liberty Mutual—rate as platinum for financial analysts, proving that "islands of excellence" exist across non-tech and non-finance companies. Similarly, Platinum employers for Retail Sales Clerks yield a 247% higher likelihood of internal promotion and 91% higher wages, turning frontline entry points into primary internal talent pipelines. Building "Mobility Muscle" for the AI Era For enterprise CHROs and Talent Acquisition executives, Where You Work Matters provides an unbiased, non-commercial yardstick. Free from subscription paywalls or consulting upsells, this public-interest project allows leaders to benchmark internal pay, retention, and mobility against 55,000 occupational standards. As artificial intelligence reshapes job categories, Chandrasekaran emphasizes that resilient companies will be those that build deep "mobility muscle"—the organizational capability to train, retain, and transition staff laterally from within. Key Takeaways The End of the "Sentiment" Era: Where You Work Matters replaces pay-to-play corporate surveys and subjective mood polls with a big-data autopsy of 12 million real worker progressions across 1,750 major U.S. employers. Occupational Precision & "Islands of Excellence": By evaluating 55,000 unique roles across Early Career, Growth, and Stability archetypes, the index proves that specific departments (like financial analysts at CarMax or tech teams at non-tech firms) can outperform traditional industry benchmarks. The $1.2M Compounding Advantage: Workers in Platinum-rated roles earn 48% more on average, are 68% more likely to be promoted internally within five years, and can accumulate up to $1.2 million more in lifetime earnings for roles like administrative assistants. Frontline Mobility Engines: Platinum-rated employers for Retail Sales Clerks offer a 247% higher likelihood of internal promotion and 91% higher wages, proving that frontline roles can serve as primary internal talent pipelines at the right companies. Building "Mobility Muscle" for AI: Enterprise resilience in the age of AI depends on internal mobility muscle—the operational ability to train, re-skill, and transition existing staff into new roles rather than relying solely on external hiring. On this episode Rajiv and George discuss Where You Work Matters list, Rajiv Chandrasekaran Schultz Family Foundation, Burning Glass Institute labor market data, End of employee sentiment surveys, Occupational level career mobility, Frontline worker promotion rates, Internal talent pathways AI era, Enterprise TA benchmarking data, Public interest labor market intelligence. Learn more at https://www.whereyouworkmatters.org/ Get more of WorkTech's market analysis at https://1worktech.com Learn more about your ad choices. Visit megaphone.fm/adchoices

    The End of the "Sentiment" Era: How Big Data Kills Pay-to-Play Employer Badges
  2. 3 ago

    hackajob Launches Agentic Recruiting Solution with Out-of-the-Box Compliance and Verified First-Party Profiles, Minimizing Enterprise Legal and InfoSec Friction

    hackajob CEO Mark Chaffey joins George LaRocque to reveal how a pre-apply AI recruitment agent delivers verified, GDPR-compliant candidates directly into enterprise ATS workflows without triggering automated hiring liabilities.  In this episode of the WorkTech Podcast, host George LaRocque sits down with Mark Chaffey, CEO and co-founder of hackajob, to explore how enterprise talent acquisition can deploy autonomous AI sourcing while completely eliminating legal, regulatory, and InfoSec friction. As candidate-facing AI tools flooded recruiting pipelines with mass-customized applications, inbound resume volume surged up to 400%, destroying candidate signal and leaving recruiters overwhelmed. Talent acquisition leaders faced a critical deadlock: executive leadership demanded AI adoption for speed, while internal Legal, Risk, and InfoSec teams strictly vetoed AI tools placed inside the Applicant Tracking System (ATS) to avoid bias audits and liabilities under frameworks like the EU AI Act and NYC Local Law 144.  To solve this governance bottleneck, hackajob engineered Archer, an autonomous sourcing agent built natively for pre-apply execution. By managing outreach, vetting, and consent gathering entirely before an application is submitted, Archer operates completely outside internal ATS decision-making. This pre-apply architecture provides out-of-the-box recruitment compliance, allowing enterprise employers to deploy agentic AI without triggering internal legal vetoes, algorithmic bias audits, or complex IT overhauls. Archer connects seamlessly into existing enterprise TA tech stacks—including Workday, Lever, and Greenhouse—delivering interview-ready talent straight into existing recruiter workflows.  Central to hackajob’s platform is a strict reliance on first-party data integrity and verified trust. Rather than scraping unverified web profiles or purchasing third-party lead lists, Archer operates exclusively on explicitly consented candidate data compliant with strict GDPR standards. Archer acts as a dual-sided advocate, building long-term career relationships with candidates across all knowledge-work functions—including finance, sales, marketing, and engineering—by matching talent based on real skill context, compensation expectations, and work-model preferences. To protect enterprise brands against the steep rise in remote applicant fraud, Archer enforces single-profile constraints and integrates government-backed ID verification through partners like Veriff. This ensures enterprise recruiters interact only with verified, high-intent individuals. Consuming over 4 billion LLM tokens daily and generating 45,000 qualified monthly candidate introductions for Fortune 500 brands like Comcast, Barclays, and American Express, Archer demonstrates how agentic models scale across global organizations. Furthermore, hackajob aligns its business model directly with enterprise outcomes, replacing flat SaaS seat licenses and database access fees with performance-based pricing—charging employers only when Archer delivers fully qualified, interview-ready candidate introductions.  Key Takeaways Out-of-the-Box Recruitment Compliance: Executing strictly in the pre-apply phase lets enterprise TA teams deploy autonomous AI sourcing without violating ATS governance, internal InfoSec policies, or automated decision-making laws. Verified First-Party Profiles: Replacing scraped web databases with explicitly consented, self-reported candidate data restores top-of-funnel signal and yields 3x higher interview conversion rates. Minimizing Legal & InfoSec Friction: Archer connects directly into existing enterprise ATS workflows (like Workday), allowing talent acquisition teams to adopt AI speed without waiting for lengthy corporate risk reviews. Integrated Anti-Fraud Infrastructure: Single-profile rules, controlled job matching, and government-backed ID verification protect enterprise brands from fraudulent remote applicants. Outcome-Based Pricing Models: Moving away from traditional SaaS seat licenses, hackajob aligns enterprise value with results by charging strictly for verified, interview-ready candidate outcomes. On this episode Mark and George discuss hackajob’s Archer Agentic Recruiting Solution, Out of box recruitment compliance, Verified first party candidate profiles, enterprise legal and InfoSec friction, Pre-apply autonomous AI sourcing, ATS integrated, recruitment AI, Remote candidate fraud verification, Outcome based recruitment pricing Learn more about your ad choices. Visit megaphone.fm/adchoices

    hackajob Launches Agentic Recruiting Solution with Out-of-the-Box Compliance and Verified First-Party Profiles, Minimizing Enterprise Legal and InfoSec Friction
  3. 13 jul

    Voice AI, Platform Gravity, and Governed Workflows: Reimagining the Modern ATS Ecosystem

    Voice AI, Platform Gravity, and Governed Workflows: Reimagining the Modern ATS Ecosystem Greenhouse CPO Meredith Johnson unpacks how cross-industry insights, the Ezra acquisition, and the new Model Context Protocol are moving enterprise talent acquisition away from passive record-keeping into a secure, hyper-connected orchestration network.  In this episode of the WorkTech Podcast, host George LaRocque sits down with Meredith Johnson, the Chief Product Officer at Greenhouse, to unpack the complex, multi-layered paradigm shifts reshaping modern talent acquisition. Bringing fresh eyes from over two decades leading product in legal tech and edtech, Johnson explores the crucial connection between sophisticated people strategies and bottom-line business ROI. This conversation moves far beyond typical product updates, analyzing how Greenhouse is leaning into platform gravity to transition from a traditional enterprise system of record into an open, secure orchestration layer. Cross-Industry Parallels and the Dual-Sided Talent Coin Johnson opens by drawing powerful structural parallels from her time in legal tech, where firm IP is permanently tethered to its human assets, requiring deep intelligence to build winning teams. Transitioning into HR technology, she identifies a critical friction: the talent ecosystem relies heavily on a dual-sided coin where employer demands and candidate expectations often clash. While employers chase efficiency and risk reduction, job seekers are fighting to feel seen and respected amidst massive technical noise. To bridge this divide, Greenhouse has rejected superficial AI trends like standard text-based chatbots. Instead, Johnson outlines their strict commitment to responsible, auditable AI that informs matching data while keeping humans strictly at the wheel for all final hiring decisions. This philosophy directly drove Greenhouse's strategic acquisition of Ezra, a conversational voice intelligence platform. With top-of-funnel application volume skyrocketing over 400% in the last three years, recruiter fatigue often leads to a reliance on gut feelings. Spoken conversation injects clean, unbiased structure at the earliest touchpoints, capturing richer context and pattern-recognition signals than text ever could.  The operational impacts of the MCP are actively shifting enterprise tech dynamics, delivering immediate value across roles:  Retiring Paid Software: Organizations like Formation Bio prompted the MCP to build a custom pipeline dashboard with integrated sentiment scoring, successfully replacing a paid, standalone business intelligence tool in just one hour. Preventing Offer Collapse: Companies like Komodo Health use the protocol to flag candidate salary targets against live compensation bands at the start of the process, ensuring alignment happens up front instead of falling apart at the final offer stage. Eliminating Daily Friction: Instead of drowning in manual tab-switching, teams can paste meeting notes into Claude via the MCP and automatically update priority fields across multiple job categories in under two minutes. Building a Network for the Future Finally, Johnson details the rapid maturation of "My Greenhouse," an ecosystem that has officially grown into a network of nearly 5 million job seekers. Features like "Dream Job" applications reveal that candidates signaling high-intent are 5.8 times more likely to be hired. This alignment of voice intelligence, secure infrastructure, and candidate-facing networks underscores the exact platform gravity changing how the market connects human potential to enterprise needs. Key Takeaways The Evolution to Orchestration Layers: The enterprise HR tech stack is shifting away from isolated record-keeping applications toward secure, governed orchestration layers capable of interacting with external AI models. Voice AI Over Chatbots: Spoken conversation captures exponentially deeper behavioral signal and structural context than text, making voice intelligence a critical tool for scaling top-of-funnel screening without losing quality. Immediate ROI via Greenhouse MCP: By establishing an open, permission-safe protocol layer, businesses can automate multi-app workflows, integrate custom LLMs, and completely replace expensive standalone BI tools. The Maturity of the Candidate Network: Providing job seekers with consumerized tools to express direct intent—such as the Dream Job feature—creates high-value talent networks that yield a 5.8x increase in hiring likelihood. On this episode Meredith and George discuss Greenhouse MCP release, Model Context Protocol HR tech, Conversational Voice AI recruitment, Greenhouse Ezra acquisition, talent acquisition orchestration layer, candidate experience network, responsible AI hiring practices, ATS data gravity software, automated recruitment workflow solutions. Learn more about innovations across all HR and Work Tech categories at https://1worktech.com Learn more about Greenhouse at https://greenhouse.com See their LinkedIn post about their new MCP at https://bit.ly/4fwkvkP See Greenhouse's published customer use cases, here: https://support.greenhouse.io/hc/en-us/articles/52193605120155-Greenhouse-MCP-use-cases-by-role Learn more about your ad choices. Visit megaphone.fm/adchoices

    Voice AI, Platform Gravity, and Governed Workflows: Reimagining the Modern ATS Ecosystem
  4. 9 jul

    Maximizing High-Volume Recruitment Velocity with Free AI Auditing Tools

    Cadient CEO Bill Mastin discusses the rise of AI-generated resumes, deep-fake interviews, and the new modular tools designed to protect recruiters.  In this episode of the WorkTech Podcast, host George LaRocque is joined by Bill Mastin, the CEO of Cadient, a highly seasoned operator with a career-long history in HR tech, learning, and talent management spaces. Mastin dives into the staggering pace of change in the recruitment sector, noting that the industry is experiencing an evolution akin to looking past the veil of the Industrial Revolution. While Cadient has a rich history as a high-volume applicant tracking system (ATS) for marquee retail and healthcare brands like PetSmart and Genesco, the platform is undergoing a radical transition into an AI-first, portable smart suite ecosystem.  Mastin introduces what he terms the "AI hiring crisis," a phenomenon where candidates and employers find themselves locked in an active arms race. Empowered by generalized tools like ChatGPT and Claude, job seekers are pumping job descriptions into AI models to instantaneously churn out hyper-optimized, "unicorn" resumes. This has triggered an administrative avalanche for recruiters, who are suddenly flooded with hundreds of homogeneous, AI-exaggerated applications where no individual stands out. At the extreme end, Mastin reveals that enterprise clients are even encountering deep fakes during remote video interviews, driving some back toward face-to-face screenings. To level the playing field, Cadient is delivering agentic tools that fight AI with AI. Mastin showcases SmartShield, a free Chrome plugin that instantly cross-references submitted resumes against public profiles and external data points. Instead of automating hiring decisions—which risks algorithmic bias and legal trouble—SmartShield operates like "automatic steering" while keeping the recruiter's hands on the wheel by flagging discrepancies, credential gaps, and purely AI-generated text. Auditing the Pipeline and the Evolution of SaaS The conversation shifts to Hiring Scorecard, a free, standalone automated auditing tool that utilizes AI agents to run "mystery shopper" evaluations on an organization's career sites and talent pipelines. By simply entering a company's URL, the tool grades application completion times, SEO visibility, mobile-friendliness, and job board distributions against industry benchmarks, generating a downloadable business case for HR leaders looking to optimize budget allocations. Crucially, these modular capabilities operate independently of Cadient's core backend platform, allowing them to plug natively into any existing legacy ATS or Human Capital Management (HCM) software. Mastin notes that this architecture underscores a massive philosophical shift away from traditional SaaS. Historically, enterprise tech vendors forced all buyers into a rigid "one product fits all" model under the guise of "best practices," often overwriting unique workflow nuances or cultural highlights that made a company distinct. By leveraging an ecosystem of individual agentic modules, providers can now implement what Mastin calls "tuning SaaS"—swiftly customizing workflows and pricing structures to fit the exact parameters of a client's specific business unit, timeline, or frontline hiring criteria.  For HR technologists and talent acquisition executives trying to navigate a market defined by ghost jobs, automated application loops, and rapid compliance shifts, this discussion offers an invaluable masterclass on where enterprise recruitment infrastructure is heading next.  Key Takeaways The Rise of the AI Hiring Crisis: Candidates are heavily leveraging generative AI to create tailored applications and resumes, triggering a quality crisis where recruiters are flooded with identical-looking "unicorn" candidates. Democratizing Pipeline Audits: Tools like Hiring Scorecard deploy agentic AI to benchmark career pages and drop-off points, allowing talent teams to diagnose ghosting and build business cases for tech updates without hiring costly external consultants.  The Transition to "Tuning SaaS": The legacy multi-tenant SaaS model of forcing single, rigid software workflows onto all enterprise buyers is giving way to modular architectures where platforms can be custom-tuned around a company's unique cultural and operational framework.  Decentralized Agentic Ecosystems: Modern enterprise tech buyers no longer need to execute painful rip-and-replace software overhauls; portable smart modules can overlay seamlessly on top of existing ATS and HCM systems.  On this episode Bill and George discuss AI hiring crisis, high-volume applicant tracking system, resume verification Chrome plugin, agentic recruitment technology, custom tuning SaaS solutions, automated talent pipeline audit, Cadient SmartShield review, enterprise recruitment software modularity, candidate experience benchmarking.  Learn more about your ad choices. Visit megaphone.fm/adchoices

    Maximizing High-Volume Recruitment Velocity with Free AI Auditing Tools
  5. 16 jun

    When AI Systems, Startups, and Public Policies Collide

    In this high-velocity edition of Up Next @ WorkTech, George LaRocque (WorkTech) and Kate Achille (The Devon Group) reunite for a comprehensive cross-pod. Together, they break down the critical intersection of legal friction, evolving corporate staffing strategies, multi-million-dollar government tech overhauls, and sweeping shifts rewriting the rules of HR management. The IBM Lawsuit: Age Discrimination Meets Automated Rejection The hosts open by dissecting a highly publicized new legal battle targeting IBM. A 48-year-old manager with 24 years of tenure found his position eliminated. Upon immediately applying for similar, relevant roles, he received automated rejection notices. While headlines focus on artificial intelligence, Kate and George reveal that the suit fundamentally alleges deep-rooted age discrimination. The plaintiff is not demanding a technical infrastructure audit; rather, he seeks reinstatement and back pay. The timing is notable, occurring right as IBM's HR division heavily publicized its total transition toward automated systems. The co-hosts note that as legacy applicant systems yield to automation, employers face a mounting wave of legal challenges mapping the boundaries of algorithmic accountability. People as Product: The Fractionalization Debate at New York Tech Week. Shifting to startup culture, Kate highlights a controversial trend from New York Tech Week. Covered by HR Brew, tech entrepreneurs are openly advocating for pairing fractional human employees with AI "agent" workers to scale businesses without the overhead of full-time wages. The panel explicitly suggested viewing an internal corporate team as just another product being built.  George and Kate challenge this "people as product" philosophy, tracking how quickly the corporate pendulum has swung from celebrating employees as assets to treating them as commodities. George notes that these pitches overlook the hidden financial realities of computing tokens, high system failure rates, and the questionable efficacy of replacing human leadership with "digital twins" for managerial feedback and performance monitoring. Oracle’s Massive OPM Contract Win In a massive industry shakeup, the Office of Personnel Management (OPM) awarded Oracle a staggering $396 million, 10-year contract to unify the federal government under a single cloud-based HR platform. The bold move promises a 90% reduction in government HR tech spending. The immediate casualty was Workday, the losing bidder that had secured the exact same contract just twelve months prior. The transition creates massive ripples across the HR tech ecosystem as numerous vendors risk losing legacy contracts. On a personal note, Kate recalls being a victim of the 2007 OPM data breach, which required 15 years of government-funded identity monitoring. This history highlights the profound security anxieties of centralizing millions of federal worker records onto a single monolithic cloud infrastructure under big tech control. The Department of Education’s Wage Accountability Crackdown The conversation shifts to public policy as the hosts dissect a polarizing proposed rule from the Department of Education that would hold universities financially accountable for low graduate earnings outcomes. Under the rule, programs that fail to meet specific wage thresholds risk losing Title IX funding and Pell Grant eligibility. While holding institutions accountable for soaring education costs sounds logical, George and Kate warn that the rule relies on flawed data models. The American Council on Education (ACE) heavily criticized the policy's math, which dangerously groups 25-year-old entry-level professionals with 34-year-old mid-career veterans. The hosts argue that focusing solely on immediate earnings severely devalues the long-tail returns of a liberal arts education. Ironically, in an era when AI automates hard technical tasks, the very critical-thinking skills fostered by the liberal arts make workers irreplaceable. Finding Ideal Talent: How to Stand Out at Anthropic To wrap up the tech insights, the hosts discuss hiring criteria shared by the creators of Claude Code at Fortune’s Brainstorm Tech event. To secure a role at Anthropic, candidates must exhibit three key traits: being generalists, possessing a low ego, and demonstrating the ability to openly admit failure and pivot. George and Kate explore the practical paradox of portraying soft skills like a "low ego" within digital applications, noting that the reality of hyper-scaled tech environments often contrasts with public corporate manifestos. On this episode, Kate and George discuss AI age discrimination lawsuit, IBM automated rejections, fractional employees, AI agent workers, Oracle OPM contract, single cloud-based HR platform, a Department of Education proposed rule, graduate earning outcomes, Anthropic hiring criteria, and the HR Tech market shift. Learn more about your ad choices. Visit megaphone.fm/adchoices

    When AI Systems, Startups, and Public Policies Collide
  6. 30 may

    Phenom Acquires Plum to Unlock Behavioral Science in HR

    In this episode of the WorkTech Podcast, host George LaRocque sits down with Mahe Bayireddi, Co-Founder and CEO of Phenom, to unpack the strategy behind the company's recent acquisition of Plum. Marking Phenom's second assessment-focused deal in ten weeks following their acquisition of BeApplied, this conversation explores how behavioral science is rewriting the future of talent acquisition and talent management. Beyond Commodity Intelligence Bayireddi explains that as generalized AI and Large Language Models (LLMs) become heavily commoditized, simply generating answers is no longer a corporate differentiator. True technological value now lies in an engine's ability to establish context, context-driven understanding, and human judgment. While technical skills are easily cataloged in traditional resumes and job descriptions, deep psychometric and behavioral data sets have historically been missing from automated HR ecosystems. Phenom is bridging this gap by leaning into cognitive science, combining computer science, neuroscience, linguistics, and psychology, to unlock data that traditional AI models cannot provide. Historically, psychometrics were siloed into high-volume hourly roles or C-suite executive hiring. Phenom’s vision is to democratize this data across all talent workflows. By connecting Plum’s role-modeling technology, which maps behavioral blueprints across 40,000 real-world jobs with four times greater predictive success, to Phenom's skill ontology, enterprise buyers can accurately forecast candidate and employee performance on a global scale. Delivering Insights in the Flow of Work A primary historical challenge of assessments was user friction, but Phenom’s agentic AI framework solves this by embedding these insights directly into the daily flow of work. Rather than using a one-size-fits-all approach, Phenom applies a "five-dimensional context" matrix that evaluates organizational needs by industry, role, location, business unit trajectory, and workflow automation level. This ensures behavioral insights are served exactly when needed—whether that means instant screening in high-volume retail or post-screening evaluations in healthcare. The Single Code Base Advantage Unlike legacy vendors that run acquisitions as siloed business units, Phenom buys strictly for product velocity and acceleration. Every acquired tool is completely rebuilt into Phenom's native, single code base and single data integration flow. For enterprise customers, this eliminates fragmented databases and clumsy integrations. A psychometric marker captured during automated screening remains natively active throughout the entire employee lifecycle, seamlessly powering internal career pathing, retention, and workforce development. Key Takeaways The Shift to Contextual AI: As general AI becomes a commodity, the ultimate value lies in creating context and human judgment via psychometric data Democratizing Behavioral Science: Integrating Plum allows Phenom to scale validated behavioral blueprints across 40,000 jobs, elevating hiring accuracy globally. The Single Code Base Mandate: Natively rebuilding acquisitions into one code base ensures that candidate data flows seamlessly into long-term employee retention and growth workflows Hyper-Targeted Workflows: Using a five-dimensional context matrix, businesses can deploy assessments precisely where they make sense based on specific industry and role dynamics. Learn more about your ad choices. Visit megaphone.fm/adchoices

    Phenom Acquires Plum to Unlock Behavioral Science in HR
  7. 18 may

    Up Next @ WorkTech: Reading the Room on AI: Graduation Boos to Enterprise Disruptions

    Welcome to a packed episode of Up Next @ WorkTech, the premier crossover podcast featuring George LaRocque (founder of WorkTech) and Kate Achille (host of The Devon Group’s Up Next at Work podcast). In this edition, George and Kate break down the rapidly shifting intersections of AI, employer leverage, and the major technological shakeups redefining the modern workplace. The Gen Z Dilemma: The hosts dissect a viral UCF commencement speech where graduates booed a corporate narrative praising AI and billionaires. With Gallup showing young Americans losing confidence in the labor market, George explains how entry-level hiring is fracturing: companies are increasingly bypassing foundational roles by equipping seasoned workers with AI. Forced Tech Adaptations: AI is reshaping academia. Princeton University has phased out its 133-year-old unproctored honor code to combat AI cheating, while a massive Instructure Canvas outage recently derailed finals week at Rutgers and LA schools. The Benefits Scale-Back: Major employers like Zoom and Deloitte are cutting 401(k) matches and parental leave. The hosts warn that leveraging current employer market power to slash benefits is short-sighted and risks major cultural backlash when the talent market swings back. The Solopreneur Illusion: Reviewing the new Workday, Anthropic, and LISC accelerator, Kate and George argue that giving 15 solopreneurs just $10,000 and limited Claude AI credits is more of a corporate goodwill exercise than a structural business accelerator. Big Tech Infiltrates HCM: Intuit is making an aggressive move into the SMB payroll and HCM space with QuickBooks Workforce, posing a direct threat to legacy players like ADP and Paylocity. Meanwhile, AWS is entering high-volume recruiting with an agentic platform, though George warns they may underestimate the complex 12-to-18-month enterprise sales cycle. Voice AI & Funding Wins: Following a key acquisition by Greenhouse and an acquihire by Ashby, asynchronous Voice AI is overcoming historical candidate pushback to become a core recruiting interface. Finally, the hosts celebrate Kashable’s $60 million Series C round as a massive win for employee financial wellness. On this episode Kate and George discuss Artificial Intelligence (AI), AI layoffs, job market pessimism, Gen Z employment, QuickBooks Workforce, Amazon Web Services (AWS) hiring platform, Voice AI recruiting, employee benefits scaling back, tech-driven workplace shift, Human Capital Management (HCM). Learn more about your ad choices. Visit megaphone.fm/adchoices

    Up Next @ WorkTech: Reading the Room on AI: Graduation Boos to Enterprise Disruptions
  8. 12 may

    Goldman Sachs Validation: Einat Steklov on Kashable’s $60M Series C and the Future of Workplace Credit

    In this episode of the WorkTech Podcast, host George LaRocque sits down with Einat Steklov, co-founder and co-CEO of Kashable, to discuss their monumental $60 million Series C funding round led by the Goldman Sachs Impact Fund. At a time when middle-market funding has been scarce, this deal stands out not only for its size but for the powerful validation it provides for the financial wellness category. The "Action" Gap in Financial Wellness For years, employer-sponsored financial wellness was limited to advice and education. However, as Einat explains, "advice alone is just not enough" when 78% of Americans are living paycheck to paycheck. Kashable bridges this gap by combining expert financial coaching and credit monitoring with Socially Responsible Credit®, low-cost loans that serve as a lifeline for employees facing unexpected expenses like car repairs or medical bills. How It Works: The Employer Advantage Kashable’s unique model leverages the employer relationship to offer credit to those often shut out of traditional banking. By utilizing employment data for underwriting and payroll-linked repayment, Kashable can say "yes" more often while maintaining a resilient business model. This system creates a "win-win-win": For Employees: Access to credit that helps build or repair their credit scores—often by 45–50 points. For Employers: A reduction in 401(k) loan withdrawals (up to 30% in some cases) and improved employee retention and focus. For HR Teams: A seamless, tech-driven implementation that integrates with major HCM and payroll platforms like Workday and Business Solver. A Mission Validated by Goldman Sachs The partnership with Goldman Sachs’ Impact Fund brings with it a commitment to measurable social impact. Einat details how the $60M capital injection will be used to scale Kashable's reach from the 5 million lives currently covered to the 100 million+ American workers who still need these essential financial tools. Whether you are a CHRO looking to bolster your voluntary benefits package or a fintech enthusiast interested in impact investing, this conversation provides a blueprint for how technology can foster a more inclusive and resilient financial system. Key Takeaways Validation of the Category: A Series C led by Goldman Sachs signifies that financial wellness is no longer a "nice-to-have" but a durable, institution-grade business model. Moving Beyond Advice: Effective financial wellness requires an "action plan" that includes tangible tools, such as affordable credit, alongside education. The Power of Payroll: Using payroll integration for repayment provides the certainty needed to offer better terms than the open market, directly helping employees build credit files. Protecting Retirement Savings: Providing an alternative to 401(k) loans helps employees keep their retirement plans intact, addressing a major long-term problem for both workers and employers. Scalability via Tech: Seamless HCM integrations are critical for adoption, enabling HR teams to "flip a switch" and deliver high-impact benefits without a significant administrative burden. On this episode Einat and George discuss Series C Funding, Goldman Sachs Impact Fund, Financial Wellness, Socially Responsible Credit, Fintech, Employer Benefits, Payroll Integration, Credit Score Improvement, 401(k) Loans, Employee Retention, HR Technology. Learn more about your ad choices. Visit megaphone.fm/adchoices

    Goldman Sachs Validation: Einat Steklov on Kashable’s $60M Series C and the Future of Workplace Credit

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The WorkTech Podcast explores the critical trends shaping the future of work and HR tech. George LaRocque of WorkTech, drawing from years of advising top innovators, investors, and enterprises, guides you through market deals, issues, opportunities, and trends—all through a strategic, actionable lens.

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