The Rise of Job Stacking: Managing Multiple Remote Roles in the Post-Pandemic Workplace
- Jonathan H. Westover, PhD
- 2 hours ago
- 22 min read
Listen to a review of this article:
Abstract: Job stacking—the practice of simultaneously holding multiple full-time remote positions without employer knowledge—has emerged as a notable phenomenon in post-pandemic work environments. This article examines the prevalence, drivers, and implications of job stacking for organizations and individuals. Drawing on organizational justice theory, psychological contract literature, and empirical evidence from remote work research, we analyze how technological enablement, shifting employee expectations, and organizational monitoring challenges have created conditions for this practice. The article explores quantifiable impacts on organizational performance and employee wellbeing, then presents evidence-based responses including transparent communication strategies, outcome-focused performance systems, and enhanced psychological contracts. We conclude by outlining forward-looking capabilities organizations must develop to navigate this emerging challenge while building sustainable remote work cultures.
In early 2022, a software engineer posted on an online forum describing his routine: attending morning stand-ups for Company A, completing tickets for Company B during midday, and joining afternoon meetings for Company C. He wasn't consulting or freelancing—he held three simultaneous full-time W-2 positions, earning combined salaries exceeding $300,000 annually. His revelation sparked intense debate about workplace ethics, remote work boundaries, and employer-employee obligations in digital environments.
This practice, colloquially termed "job stacking" or "overemployment," represents more than isolated opportunism. It reflects fundamental tensions in how organizations and workers conceptualize employment relationships in an era of distributed work. The COVID-19 pandemic accelerated remote work adoption from a niche arrangement to mainstream practice, with 12.7% of full-time employees working entirely remotely by 2023, compared to just 5.7% pre-pandemic (Barrero et al., 2021). This shift created new technological and cultural conditions enabling workers to maintain multiple employment relationships simultaneously.
The practical stakes are substantial. Organizations face potential productivity losses, intellectual property risks, conflicts of interest, and erosion of team cohesion. Workers navigate complex ethical terrain while responding to economic pressures, perceived inequities in compensation structures, and evolving notions of workplace loyalty. Understanding this phenomenon matters because it illuminates broader challenges organizations face in remote environments: measuring performance, maintaining engagement, and establishing meaningful employment relationships when physical presence no longer signals commitment.
The Job Stacking Landscape
Defining Job Stacking in Remote Work Contexts
Job stacking refers to the simultaneous maintenance of two or more full-time employment positions, typically without the explicit knowledge or consent of one or more employers. This practice differs fundamentally from moonlighting, side hustles, or portfolio careers in several dimensions. Traditional moonlighting involves secondary employment during off-hours with primary employer awareness, whereas job stacking involves concurrent full-time roles with overlapping work hours and deliberate concealment (Golden & Geisler, 2007).
The practice exists along a spectrum of transparency and formality. At one end, workers maintain multiple full-time positions entirely covertly, actively hiding their arrangements. In the middle, workers hold one official full-time role plus additional contract positions that approach full-time hours without formal disclosure. At the transparent end, workers negotiate explicit multiple-employer arrangements, though these rarely involve traditional full-time positions.
Job stacking became technologically feasible through several converging factors. Video conferencing platforms enable workers to maintain presence across multiple organizational spaces. Cloud-based work environments eliminate hardware dependencies that might reveal multiple employment. Asynchronous communication tools reduce real-time interaction requirements. Project management systems focused on deliverables rather than hours worked create outcome-based accountability that can obscure divided attention (Allen et al., 2015).
The psychological and ethical dimensions prove equally complex. Some practitioners frame job stacking as rational economic behavior—maximizing compensation in labor markets where employers routinely minimize wages and terminate employment without loyalty considerations. Others view it as fundamentally deceptive, violating implicit trust essential to employment relationships. This tension reflects broader debates about psychological contracts and mutual obligations between organizations and workers (Rousseau, 1995).
Prevalence, Drivers, and Distribution
Precise prevalence data remains challenging to obtain given the clandestine nature of most job stacking arrangements. Anonymous online communities dedicated to the practice report membership in the tens of thousands, with the largest forums containing over 30,000 active participants as of 2023. Survey research suggests the actual practice rate remains relatively modest. A 2023 ResumeBuilder survey of 1,250 full-time remote workers found that approximately 8% reported currently working multiple full-time remote jobs simultaneously, while an additional 7% reported having done so previously (ResumeBuilder, 2023).
Industry distribution shows notable patterns. Technology sector workers, particularly software developers and IT professionals, represent disproportionate shares of job stackers. These roles combine several enabling characteristics: predominantly remote work arrangements, project-based deliverables, high compensation creating significant financial incentives, and skill shortages reducing employer leverage. Financial services, digital marketing, and knowledge work roles with asynchronous deliverables also show elevated incidence.
Several economic and organizational drivers fuel the practice. Compensation stagnation relative to productivity gains creates financial motivation. Bureau of Labor Statistics data indicate real wage growth lagging productivity growth by significant margins over the past two decades, particularly for knowledge workers (U.S. Bureau of Labor Statistics, 2022). Workers increasingly perceive employment relationships as transactional rather than relational, reducing psychological barriers to multiple simultaneous roles.
Organizational factors also contribute. Many remote positions demonstrate significant underutilization, with workers completing assigned tasks in substantially fewer hours than standard full-time expectations. One survey of remote workers found that 38% reported needing less than 40 hours weekly to complete their workload, with 12% requiring fewer than 30 hours (Parkin, 2022). This capacity gap creates perceived opportunity for additional employment without performance degradation.
The pandemic fundamentally altered employee expectations and employer-employee power dynamics. Widespread layoffs despite record corporate profits eroded perceived employer loyalty. Extended remote work normalized physical separation from employers and reduced surveillance capacity. Tight labor markets in knowledge work sectors shifted bargaining power toward workers, reducing detection risks. These contextual factors combined to lower both practical and psychological barriers to job stacking.
Demographic patterns reveal additional insights. Younger workers, particularly millennials and Generation Z employees, show higher rates of job stacking consideration and practice. These cohorts entered labor markets during economic crises, experienced student debt burdens, and developed different workplace loyalty expectations than previous generations (Twenge, 2010). Geographic distribution concentrates in high cost-of-living metropolitan areas where single salaries struggle to meet lifestyle expectations, particularly for housing costs.
Organizational and Individual Consequences of Job Stacking
Organizational Performance Impacts
The performance implications of job stacking create multifaceted organizational risks. Most fundamentally, divided attention necessarily reduces cognitive resources available for any single employer. Research on attention allocation demonstrates that task switching and parallel processing of complex cognitive work imposes substantial performance penalties. Studies estimate productivity losses of 20-40% when attention divides across multiple complex tasks requiring similar cognitive resources (Rubinstein et al., 2001).
Quantifiable impacts manifest across several dimensions. Meeting effectiveness declines when participants divide attention, particularly in remote environments where detection proves difficult. One analysis of remote meeting engagement found that 45% of participants multitask during virtual meetings, with measurable decreases in information retention and decision quality (Wasson, 2004). For job stackers attending simultaneous meetings across employers, this effect intensifies substantially.
Innovation and creative problem-solving suffer particularly severe impacts. Deep work—sustained concentration enabling complex cognitive tasks—requires extended uninterrupted focus periods. Newport (2016) demonstrates that knowledge workers require approximately 90 minutes of continuous focus to achieve flow states enabling highest-quality creative output. Job stacking inherently fragments attention across competing demands, preventing the sustained concentration essential for innovation.
Team cohesion and collaboration quality deteriorate when team members maintain secret parallel commitments. Research on team effectiveness identifies availability, responsiveness, and authentic engagement as critical trust-building mechanisms (DeGroot et al., 2007). Job stackers inevitably demonstrate reduced availability for spontaneous collaboration, delayed response times, and difficulty engaging authentically when dividing attention creates cognitive overload.
Legal and intellectual property risks create additional organizational exposure. Most employment agreements include exclusivity clauses, conflict-of-interest prohibitions, and intellectual property assignment provisions. Job stacking potentially violates these contractual obligations, creating legal liability. More seriously, when employees work simultaneously for competitors or related firms, inadvertent or deliberate intellectual property leakage becomes likely. Trade secrets, strategic information, and proprietary methodologies risk cross-contamination across employers.
Financial impacts compound as organizations pay full-time compensation for fractional attention and commitment. When job stackers allocate hypothetically equal time across two employers, each organization effectively pays full-time wages for half-time work—doubling per-unit labor costs. For roles requiring deep expertise or sustained effort, actual performance degradation likely exceeds simple time allocation, further inflating effective labor costs.
Some organizations experience catastrophic failures when job stacking creates direct conflicts. In one reported case, a software developer simultaneously worked for a company and its direct competitor, participating in strategic planning for both while contributing to product development across competing platforms. The situation emerged only when colleagues noticed identical technical approaches appearing in competitor products, triggering investigations that revealed the parallel employment.
Individual Wellbeing and Stakeholder Impacts
While job stacking offers financial benefits, research on work intensity and cognitive overload suggests significant individual wellbeing costs. The practice essentially converts standard full-time employment into extreme overwork, with job stackers maintaining 70-80+ hour work weeks while attempting to project normal work patterns.
Burnout risk escalates substantially with extended work hours and reduced recovery time. Maslach and Leiter's (2016) burnout research identifies workload as a primary burnout predictor, with effects accelerating non-linearly beyond 50-hour work weeks. Job stackers maintaining multiple full-time positions necessarily operate in high-burnout-risk zones, with limited capacity for recovery or non-work activities essential for wellbeing.
Psychological stress manifests through multiple mechanisms. The cognitive burden of maintaining parallel professional identities and concealing employment arrangements creates sustained anxiety. Research on workplace deception demonstrates that maintaining lies requires substantial cognitive resources and generates persistent stress responses (DePaulo et al., 1996). Job stackers report constant vigilance to prevent detection—managing separate email accounts, calendar systems, communication platforms, and professional networks while ensuring no cross-contamination.
Work-life balance becomes nearly impossible when multiple full-time positions consume all available time. The practice leaves minimal capacity for personal relationships, physical health maintenance, or recovery activities. Research demonstrates that sustained work weeks exceeding 55 hours correlate with deteriorating physical health, reduced life satisfaction, and elevated mental health risks (Virtanen et al., 2012). Job stackers operating at 70-80+ hours face these risks at amplified levels.
Quality of work life degrades when individuals cannot authentically engage with colleagues or build genuine workplace relationships. The constant need for concealment prevents meaningful mentoring relationships, authentic collaboration, and professional identity development. Social psychology research emphasizes authentic relationships as central to human wellbeing and professional satisfaction (Ryan & Deci, 2000). Job stacking inherently precludes authenticity in professional contexts.
Career development suffers over longer time horizons despite short-term financial gains. Divided attention prevents deep skill development in any single domain. Professional reputation risks emerge if arrangements become public, potentially generating industry-wide trust deficits. The stress and cognitive load associated with maintaining multiple positions may accelerate burnout and voluntary workforce exit, negating accumulated financial benefits.
Family and relationship impacts extend beyond individual workers. Partners and dependents experience reduced availability and presence from overworked family members. Children receive less parental attention and engagement. The stress associated with job stacking likely spills into home environments, affecting relationship quality. While financial benefits may provide family security, the trade-offs in time, presence, and emotional availability create complex wellbeing calculus for households.
Evidence-Based Organizational Responses
Table 1: Organizational Case Studies and Strategies for Managing Job Stacking
Organization | Strategy Category | Specific Implementation Method | Primary Goal | Key Features or Metrics | Reported Outcome or Benefit |
Microsoft | Transparent Communication and Expectation Setting | Updating employment policies to clarify secondary employment expectations and creating formal approval processes. | Establish clear boundaries and disclosure expectations while preserving flexibility. | Acknowledgment that teaching, speaking, and consulting could proceed with disclosure. | Preserved flexibility while establishing clear boundaries and disclosure expectations. |
Salesforce | Transparent Communication and Expectation Setting | Implementing quarterly 'expectations conversations' between managers and team members. | Normalize disclosure and assess potential conflicts proactively. | Structured discussions about workload, capacity, and outside professional activities. | Reframes multiple employment discussions from disciplinary investigations to routine workforce planning. |
GitLab | Outcome-Focused Performance Management | 'Results, not hours' framework measuring deliverables, quality, and collaborative impact. | Eliminate capacity gaps and create transparent performance expectations. | Deliverable completion and quality assessments; no activity tracking. | Organization gains confidence in engagement; triggers supportive interventions when performance declines. |
Automattic | Outcome-Focused Performance Management | Performance evaluation based on shipped features, bug resolution rates, and impact metrics. | Focus on meaningful outcomes rather than activity monitoring. | Deliberate avoidance of activity monitoring; focus on customer impact and peer collaboration. | Makes meeting meaningful outcome standards across multiple positions functionally impossible for job stackers. |
Patagonia | Enhanced Psychological Contracts and Engagement | Mission alignment approach with professional development and paid activism leave. | Strengthen reciprocal obligations and employee engagement. | Competitive compensation tied to company performance; generous personal time policies. | Industry-leading retention and engagement; reduced opportunistic behaviors. |
Enhanced Psychological Contracts and Engagement | 'InDay' program for learning and development alongside internal mobility programs. | Signal organizational commitment to employee growth beyond immediate productivity. | Monthly dedicated days for learning, volunteering, or development. | Fostered reciprocal commitment; employees less likely to engage in deceptive practices violating trust. | |
Deloitte | Flexible Work Arrangements and Financial Wellness | 'Mass Career Customization' framework for adjusting work dimensions. | Legitimize flexibility to reduce incentives for clandestine arrangements. | Adjustable workload, schedule, location, and responsibilities with proportional compensation. | Retaining valued employees who might otherwise leave; reduction in deceptive arrangements. |
PwC | Flexible Work Arrangements and Financial Wellness | 'Flexible Talent Networks' connecting professionals with project-based work. | Acknowledge and transparently accommodate desire for portfolio careers. | Organizational mechanisms for project-based work for former employees and consultants. | Prevents practice from being driven underground by providing legitimate flexibility channels. |
Dell Technologies | Intelligent Monitoring and Risk-Based Detection | Periodic 'employment verification' processes and conflict disclosure requirements. | Prevent conflicts and encourage transparency without intrusive surveillance. | Regular affirmation that employees do not work for competitors; non-punitive framing. | Preserves relationships by focusing on dialogue and resolution rather than immediate termination. |
Zappos | Purpose-Driven Engagement and Organizational Culture | Culture-fit focus, including paying new employees to quit if not culturally committed. | Make job stacking psychologically inconsistent with professional identity. | Intensive focus on values; recognition programs emphasizing peer appreciation. | Strong psychological attachment reducing the appeal of opportunistic behaviors. |
Spotify | Distributed Leadership and Team Accountability | Squad-based organizational model with distributed accountability and autonomy. | Generate natural accountability through team interdependence. | Squads establish their own working agreements and performance expectations. | Peers quickly notice disengagement or underperformance; more effective than hierarchical oversight. |
W.L. Gore & Associates | Distributed Leadership and Team Accountability | Lattice organizational structure emphasizing peer-based evaluation. | Create natural detection for inadequate contribution through reputation. | Associates commit to colleagues rather than managers. | Maintaining multiple secret employment relationships becomes professionally untenable. |
IBM | Continuous Learning and Adaptive Governance | 'Agile HR' approach treating workplace policies as iterative products. | Enable responsive adaptation to remote work challenges like job stacking. | Regular employee surveys and piloting new policies in specific units. | More responsive adaptation than organizations relying on static policy frameworks. |
GitLab | Continuous Learning and Adaptive Governance | Public employee handbook subject to continuous revision via merge requests. | Create living governance that evolves with practice. | Radical transparency; anyone can propose policy improvements. | Prevents rules from becoming misaligned with reality. |
Transparent Communication and Expectation Setting
Organizations can substantially reduce job stacking by establishing clear, explicit expectations around work arrangements and multiple employment. Research on organizational justice demonstrates that procedural clarity and transparent communication significantly influence employee compliance with organizational norms (Colquitt et al., 2001).
Effective approaches include explicit multiple-employment policies that clearly define acceptable and prohibited arrangements. Rather than assuming employees understand traditional exclusivity norms in remote environments, organizations should articulate specific expectations: whether secondary employment is permitted, what approval processes apply, how conflicts of interest are evaluated, and what disclosure obligations employees carry.
Transparency-building mechanisms:
Onboarding integration: Embed multiple employment policies into comprehensive onboarding, requiring explicit acknowledgment and discussion rather than passive document review
Regular policy reminders: Periodically resurface policies through accessible formats—team meetings, internal communications, manager check-ins—normalizing the topic and reducing ambiguity
Safe disclosure channels: Create low-barrier mechanisms for employees to disclose secondary employment or seek guidance on potential conflicts without fear of immediate negative consequences
Manager training: Equip managers to have proactive conversations about workload, capacity, and outside commitments, making these routine rather than exceptional discussions
Microsoft adopted transparent communication approaches following remote work expansion, explicitly updating employment policies to clarify secondary employment expectations while creating approval processes for employees seeking additional work arrangements. The company emphasized that many secondary activities—teaching, speaking, writing, consulting—could proceed with disclosure and conflict assessment rather than blanket prohibition. This approach preserved flexibility while establishing clear boundaries and disclosure expectations.
Salesforce implemented quarterly "expectations conversations" where managers explicitly discuss workload, capacity, and any outside professional activities with team members. These structured conversations normalize disclosure while allowing organizations to assess potential conflicts proactively. The approach reframes multiple employment discussions from disciplinary investigations to routine workforce planning, reducing concealment incentives.
Outcome-Focused Performance Management
Traditional input-based performance evaluation—measuring hours worked, physical presence, or activity levels—proves both ineffective and counterproductive in remote environments. Research demonstrates that outcome-focused performance systems better align with remote work realities while reducing incentives for deceptive practices like job stacking (Bloom et al., 2015).
Effective outcome-focused systems establish clear performance expectations based on deliverables, quality standards, and measurable results rather than activity metrics. This approach evaluates employees on what they produce rather than how they spend time, eliminating the time-allocation surveillance that job stackers seek to evade while focusing organizational attention on actual performance.
Implementation strategies:
Clear deliverable definition: Translate role responsibilities into specific, measurable deliverables with quality criteria and timelines, reducing ambiguity about performance standards
Regular check-ins: Implement frequent lightweight progress reviews focused on deliverable status, obstacles, and support needs rather than time accounting
Capacity calibration: Regularly assess whether deliverable expectations align with reasonable full-time capacity, adjusting workload to fill available time without creating underutilization
Quality metrics: Emphasize quality indicators alongside quantity, ensuring performance systems reward deep engagement rather than surface-level task completion
Collaborative measures: Include team contribution metrics—responsiveness, collaboration quality, knowledge sharing—alongside individual deliverables
GitLab, operating as a fully remote organization, developed comprehensive outcome-focused performance frameworks emphasizing "results, not hours." The company explicitly measures employee contributions through deliverable completion, quality assessments, and collaborative impact rather than activity tracking. This approach created transparent performance expectations while eliminating the capacity gaps that make job stacking feasible. When employees consistently meet ambitious deliverable targets, the organization gains confidence in their full engagement; when performance declines, the system triggers supportive interventions focused on obstacles and capacity rather than surveillance.
Automattic (parent company of WordPress.com) implemented outcome-based evaluation emphasizing shipped features, bug resolution rates, customer impact metrics, and peer collaboration assessments. The system deliberately avoids activity monitoring while creating substantial performance expectations. Employees who attempt job stacking find that meeting meaningful outcome standards across multiple positions proves functionally impossible, while those focusing on single roles can excel without surveillance pressure.
Enhanced Psychological Contracts and Engagement
Job stacking often reflects eroded psychological contracts—the implicit mutual obligations between employers and employees extending beyond formal agreements. Research demonstrates that strong psychological contracts, characterized by perceived fairness, mutual investment, and long-term orientation, substantially reduce opportunistic behavior (Rousseau, 1995).
Organizations can strengthen psychological contracts through deliberate actions demonstrating commitment to employee wellbeing and career development. When employees perceive genuine organizational investment beyond transactional compensation, they reciprocate with elevated engagement and ethical behavior.
Psychological contract strengthening approaches:
Career development investment: Provide substantive professional development opportunities—skill building, mentorship, advancement pathways—demonstrating long-term investment in employees
Compensation equity: Ensure compensation structures reflect market conditions and internal equity, reducing financial desperation motivating job stacking
Authentic recognition: Implement meaningful recognition systems acknowledging contributions beyond formal performance metrics, building intrinsic motivation
Participatory decision-making: Involve employees in decisions affecting their work, demonstrating respect and building ownership
Wellbeing support: Offer comprehensive wellbeing resources—mental health support, flexible scheduling, workload management—showing concern for whole-person welfare
Patagonia strengthened psychological contracts through its employee development and mission alignment approach. The outdoor apparel company offers extensive professional development, competitive compensation tied to company performance, and generous personal time policies including paid environmental activism leave. These investments create strong reciprocal obligations, with employees viewing the relationship as partnership rather than transaction. The approach generates industry-leading retention and engagement while substantially reducing opportunistic behaviors.
LinkedIn invested in psychological contract development through its "InDay" program—monthly dedicated days for employee learning, professional development, or company volunteering—alongside comprehensive career development resources and internal mobility programs. These initiatives signal organizational commitment to employee growth beyond immediate productivity extraction, fostering reciprocal commitment. Employees who perceive genuine investment in their development prove substantially less likely to engage in deceptive practices that violate relational trust.
Flexible Work Arrangements and Financial Wellness
Paradoxically, organizations may reduce job stacking by offering legitimate flexibility that addresses underlying motivations. Research on flexible work arrangements demonstrates that when organizations provide sanctioned paths to additional income or reduced hours, employees have diminished incentive for clandestine arrangements (Golden, 2009).
Some workers pursue job stacking primarily for financial reasons—managing debt, supporting families, or achieving savings goals. Others seek intellectual variety or skill development across domains. Organizations can address these motivations through legitimate mechanisms that preserve transparency and manage conflicts.
Flexibility mechanisms:
Part-time professional tracks: Create legitimate part-time positions for professional roles with proportional compensation and benefits, allowing workers to openly balance multiple commitments
Internal project marketplaces: Enable employees to take on additional compensated projects within the organization across different teams or business units
Sabbatical and reduced-hour options: Offer temporary schedule reductions for personal projects or external commitments with clear return pathways
Side-project policies: Establish explicit guidelines for personal projects or secondary income activities, creating approval processes rather than blanket prohibitions
Financial wellness programs: Provide financial planning support, emergency savings programs, and educational debt assistance addressing economic pressures motivating job stacking
Deloitte implemented structured flexibility through its "Mass Career Customization" framework, allowing professionals to adjust their work arrangements across multiple dimensions including workload, schedule, location, and role responsibilities. The program explicitly enables reduced workloads with proportional compensation, creating sanctioned paths for professionals seeking to balance multiple commitments or pursue external activities. By legitimizing flexibility, the program reduces incentives for deceptive arrangements while retaining valued employees who might otherwise leave.
PwC developed "Flexible Talent Networks" connecting former employees, part-time professionals, and independent consultants with project-based work. The model acknowledges that professionals increasingly desire portfolio careers and multiple income streams, creating organizational mechanisms to participate in this trend transparently rather than driving the practice underground. When organizations provide legitimate flexibility channels, job stacking becomes unnecessary for workers primarily seeking variety or supplemental income.
Intelligent Monitoring and Risk-Based Detection
While organizations should avoid intrusive surveillance that degrades trust and workplace culture, targeted monitoring focused on high-risk indicators can identify potential job stacking without creating oppressive oversight. Research on workplace monitoring demonstrates that focused, transparent, risk-based approaches prove more effective than comprehensive surveillance (Stanton & Stam, 2006).
Intelligent detection focuses on anomalous patterns suggesting divided attention rather than comprehensive activity tracking. Organizations should approach monitoring as supporting performance and protecting organizational interests rather than catching wrongdoers, maintaining proportionality between privacy interests and legitimate organizational needs.
Risk-based monitoring indicators:
Collaboration pattern analysis: Track responsiveness, meeting attendance, and engagement patterns; significant declines or unusual availability restrictions may indicate competing commitments
Performance trend analysis: Monitor performance trajectory; unexplained declines or inconsistent quality may reflect capacity constraints
Technical access patterns: Review unusual login times, geographic inconsistencies, or simultaneous activity across systems suggesting impossible patterns
Team feedback integration: Create safe channels for colleagues to raise concerns about availability or engagement without formal accusations
Conflict-of-interest screening: Periodically verify that employees don't simultaneously work for competitors or related firms with obvious conflicts
Organizations should emphasize that monitoring aims to support performance and prevent conflicts rather than intrude on privacy. When detection occurs, responses should focus on resolution—adjusting workload, clarifying expectations, resolving conflicts—rather than immediately punitive measures, unless serious violations occur.
Dell Technologies implemented periodic "employment verification" processes requiring employees to affirm they don't simultaneously work for competitors and to disclose any potential conflicts of interest. The process emphasizes transparency and conflict prevention rather than surveillance, creating regular opportunities for disclosure without punitive framing. When potential issues surface, the company engages in dialogue about conflicts and resolution rather than immediate termination, preserving relationships where possible.
Building Long-Term Remote Work Governance
Purpose-Driven Engagement and Organizational Culture
Beyond immediate detection and prevention, organizations must cultivate cultures that make job stacking psychologically and professionally unattractive. Research on intrinsic motivation demonstrates that when employees find meaning, purpose, and authentic connection in work, they naturally align with organizational interests without extensive controls (Pink, 2009).
Purpose-driven cultures emphasize mission connection, meaningful impact, and authentic relationships that create engagement beyond transactional compensation. When work provides intrinsic satisfaction and professional identity, employees prove substantially less likely to view employment as interchangeable time-for-money exchanges suitable for multiple simultaneous relationships.
Culture-building approaches:
Mission clarity and connection: Articulate clear organizational purpose extending beyond profit, helping employees understand how their work creates meaningful impact
Storytelling and impact visibility: Regularly share stories of organizational impact, customer transformations, and employee contributions, making abstract purposes tangible
Cross-functional collaboration: Create opportunities for meaningful collaboration across organizational boundaries, building rich professional relationships and shared identity
Values-based decision-making: Consistently apply stated organizational values in decision processes, building trust that organizational principles transcend short-term financial pressures
Community and belonging: Deliberately cultivate community through virtual and in-person connection opportunities, recognition programs, and shared experiences
Zappos built strong cultural engagement through its intensive focus on organizational values and cultural fit. The company's famous offer to pay new employees to quit after initial training—ensuring only culturally committed employees remain—signals the importance of authentic engagement. Extensive investment in team building, recognition programs emphasizing peer appreciation, and transparent communication about company direction create psychological attachment reducing appeal of opportunistic behaviors. Employees who deeply identify with organizational culture find job stacking inconsistent with professional identity.
Salesforce strengthened culture through its 1-1-1 philanthropic model (contributing 1% of equity, product, and employee time to charitable causes) and emphasis on stakeholder capitalism. The approach creates purpose beyond profit, with employees reporting that mission alignment significantly influences engagement and retention. When work connects to larger purpose, purely financial motivations for job stacking diminish relative to intrinsic satisfaction from focused contribution.
Distributed Leadership and Team Accountability
Traditional command-and-control management structures prove ill-suited for remote environments, creating both excessive surveillance pressure and gaps enabling job stacking. Research on distributed leadership demonstrates that when teams assume collective accountability for outcomes with genuine autonomy, performance and ethical behavior improve (Pearce & Conger, 2003).
Distributed leadership models push decision-making and accountability toward teams rather than individual managers, creating peer-based performance expectations and collective responsibility. This approach generates natural accountability through team interdependence rather than hierarchical monitoring.
Distributed accountability mechanisms:
Team-based deliverables: Structure work around team outcomes requiring collaboration and interdependence, making individual disengagement visible to peers
Peer feedback systems: Implement regular peer input into performance evaluations, creating horizontal accountability alongside vertical assessment
Collective goal-setting: Enable teams to establish their own objectives within organizational frameworks, building ownership and mutual commitment
Transparent capacity sharing: Create team-level visibility into workload distribution and capacity, allowing teams to identify unsustainable patterns or uneven contribution
Rotational leadership: Distribute leadership responsibilities across team members for different initiatives, building empathy and collective responsibility
Spotify's squad-based organizational model distributes accountability across small cross-functional teams with substantial autonomy. Squads establish their own working agreements, performance expectations, and coordination mechanisms within broad organizational objectives. This structure creates strong peer accountability—squad members depend on each other for success and quickly notice when colleagues disengage or underperform. The distributed model proves more effective than hierarchical oversight at identifying and addressing performance issues while building engagement through autonomy and collective ownership.
W.L. Gore & Associates operates through its lattice organizational structure emphasizing peer-based accountability and distributed leadership. Associates commit to colleagues rather than managers, with reputation and peer evaluation driving advancement. This approach creates natural detection mechanisms for inadequate contribution while building strong professional relationships that discourage deceptive practices. When your standing depends on peer assessment and collaborative relationships, maintaining multiple secret employment relationships becomes professionally untenable.
Continuous Learning and Adaptive Governance
The job stacking phenomenon illustrates how rapidly workplace practices can evolve in response to technological and cultural shifts. Organizations require continuous learning capabilities and adaptive governance frameworks that evolve with changing work arrangements rather than rigid policies quickly rendered obsolete.
Effective governance balances clear principles with adaptive implementation, establishing core values and boundaries while remaining responsive to emerging practices and employee needs. Research on organizational learning emphasizes the importance of feedback loops, experimentation, and iterative refinement in policy development (Argyris & Schön, 1978).
Adaptive governance capabilities:
Regular policy review: Establish scheduled policy assessment cycles examining relevance, effectiveness, and unintended consequences of work arrangement policies
Employee voice integration: Create mechanisms for employees to provide input on policy effectiveness and suggest improvements based on practical experience
Experimental approaches: Pilot new work arrangement policies with evaluation frameworks before organization-wide implementation, learning from controlled experiments
Cross-functional governance: Include diverse stakeholders—HR, legal, business leaders, employee representatives—in governance evolution, bringing multiple perspectives
External scanning: Monitor emerging workplace trends, practices, and research to anticipate challenges before they become crises
IBM implemented adaptive governance through its "Agile HR" approach, treating workplace policies as iterative products subject to continuous improvement. The company regularly surveys employees about policy effectiveness, pilots new approaches in specific units with measurement frameworks, and adjusts based on outcomes. This learning orientation enables IBM to adapt to remote work challenges including job stacking more responsively than organizations relying on static policy frameworks.
GitLab operates with radically transparent governance, publishing its complete employee handbook publicly and inviting both internal and external input on policies. The handbook undergoes continuous revision through merge requests—borrowed from software development practices—allowing anyone to propose policy improvements with discussion and evaluation. This approach creates living governance that evolves with practice rather than fixed rules increasingly misaligned with reality.
Conclusion
Job stacking represents a complex phenomenon illuminating fundamental tensions in remote work arrangements and employment relationships. While the practice raises legitimate organizational concerns around performance, conflicts of interest, and contractual obligations, it also reflects deeper issues: eroded psychological contracts, compensation inadequacies, capacity misalignment in remote roles, and workers' evolving relationship with employment in digital environments.
Organizations face a critical choice in responding to this challenge. Surveillance-focused approaches emphasizing detection and punishment may identify some instances while degrading trust, driving practices further underground, and damaging the autonomy and flexibility that make remote work valuable. Alternatively, organizations can address root causes through transparent communication, outcome-focused performance systems, strengthened psychological contracts, legitimate flexibility options, and purpose-driven cultures that make job stacking psychologically unattractive and practically difficult.
The most effective responses balance clear boundaries with authentic engagement, establishing explicit expectations while creating workplace environments where employees want to focus their attention and commitment. When organizations invest genuinely in employee development, provide fair compensation, offer meaningful work, and build strong cultures, the appeal of job stacking diminishes substantially. When performance systems focus on outcomes with ambitious but achievable deliverable expectations, the practical feasibility of maintaining multiple positions declines.
Key takeaways for practitioners:
Establish explicit policies around multiple employment with clear expectations, approval processes, and conflict-of-interest frameworks rather than assuming traditional norms transfer to remote environments
Implement outcome-focused performance management emphasizing deliverables, quality, and collaborative contribution rather than activity monitoring or input measurement
Strengthen psychological contracts through career development investment, compensation equity, authentic recognition, and wellbeing support that demonstrate long-term organizational commitment
Consider legitimate flexibility mechanisms—part-time professional tracks, internal project opportunities, sanctioned side-project policies—addressing motivations driving clandestine arrangements
Build purpose-driven cultures emphasizing mission, meaningful impact, and authentic relationships that create intrinsic engagement beyond transactional compensation
Develop adaptive governance capabilities enabling continuous policy evolution responsive to emerging practices rather than static frameworks
Balance appropriate risk-based monitoring with privacy and trust, focusing detection efforts on high-risk indicators rather than comprehensive surveillance
Looking forward, the job stacking phenomenon will likely evolve as organizations adapt policies, technologies develop new capabilities, and cultural norms around remote work solidify. Some aspects of multiple employment may become increasingly normalized and transparent as organizations create flexible work options accommodating portfolio careers. Other dimensions involving deception and conflicts of interest will continue requiring organizational attention and boundary-setting.
The ultimate resolution requires moving beyond treating job stacking as isolated deviance toward addressing the structural and relational factors enabling and motivating the practice. Organizations that build strong remote work cultures, invest authentically in employees, establish clear performance expectations, and create meaning beyond compensation will find job stacking becoming a marginal rather than systemic concern. Those relying primarily on surveillance and punishment while neglecting underlying relational and structural issues will face ongoing challenges as workers find new ways to circumvent controls in pursuit of perceived fairness and economic security.
Research Infographic

References
Allen, T. D., Golden, T. D., & Shockley, K. M. (2015). How effective is telecommuting? Assessing the status of our scientific findings. Psychological Science in the Public Interest, 16(2), 40–68.
Argyris, C., & Schön, D. A. (1978). Organizational learning: A theory of action perspective. Addison-Wesley.
Barrero, J. M., Bloom, N., & Davis, S. J. (2021). Why working from home will stick. National Bureau of Economic Research Working Paper Series, No. 28731.
Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2015). Does working from home work? Evidence from a Chinese experiment. Quarterly Journal of Economics, 130(1), 165–218.
Colquitt, J. A., Conlon, D. E., Wesson, M. J., Porter, C. O., & Ng, K. Y. (2001). Justice at the millennium: A meta-analytic review of 25 years of organizational justice research. Journal of Applied Psychology, 86(3), 425–445.
DeGroot, T., Aime, F., Johnson, S. G., & Kluemper, D. (2007). Does talking the talk help walking the walk? An examination of the effect of supervisor communication on subordinate performance. Journal of Leadership & Organizational Studies, 14(1), 93–105.
DePaulo, B. M., Kashy, D. A., Kirkendol, S. E., Wyer, M. M., & Epstein, J. A. (1996). Lying in everyday life. Journal of Personality and Social Psychology, 70(5), 979–995.
Golden, L. (2009). Flexible daily work schedules in U.S. jobs: Formal introductions needed? Industrial Relations, 48(1), 27–54.
Golden, T. D., & Geisler, M. (2007). Work-life boundary management and the personal digital assistant. Human Relations, 60(3), 519–551.
Maslach, C., & Leiter, M. P. (2016). Understanding the burnout experience: Recent research and its implications for psychiatry. World Psychiatry, 15(2), 103–111.
Newport, C. (2016). Deep work: Rules for focused success in a distracted world. Grand Central Publishing.
Parkin, S. (2022, September 20). The rise of the secret multiple job holders. The Guardian.
Pearce, C. L., & Conger, J. A. (2003). Shared leadership: Reframing the hows and whys of leadership. Sage Publications.
Pink, D. H. (2009). Drive: The surprising truth about what motivates us. Riverhead Books.
ResumeBuilder. (2023). 1 in 8 workers juggle multiple full-time remote jobs. ResumeBuilder Survey Report.
Rousseau, D. M. (1995). Psychological contracts in organizations: Understanding written and unwritten agreements. Sage Publications.
Rubinstein, J. S., Meyer, D. E., & Evans, J. E. (2001). Executive control of cognitive processes in task switching. Journal of Experimental Psychology: Human Perception and Performance, 27(4), 763–797.
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78.
Stanton, J. M., & Stam, K. R. (2006). The visible employee: Using workplace monitoring and surveillance to protect information assets—without compromising employee privacy or trust. Information Today.
Twenge, J. M. (2010). A review of the empirical evidence on generational differences in work attitudes. Journal of Business and Psychology, 25(2), 201–210.
U.S. Bureau of Labor Statistics. (2022). Labor productivity and costs. U.S. Department of Labor.
Virtanen, M., Ferrie, J. E., Singh-Manoux, A., Shipley, M. J., Stansfeld, S. A., Marmot, M. G., Ahola, K., Vahtera, J., & Kivimäki, M. (2012). Long working hours and symptoms of anxiety and depression: A 5-year follow-up of the Whitehall II study. Psychological Medicine, 42(12), 2473–2485.
Wasson, C. (2004). Multitasking during virtual meetings. Human Resource Planning, 27(4), 47–61.

Jonathan H. Westover, PhD is Chief Research Officer (Nexus Institute for Work and AI); Associate Dean and Director of HR Academic Programs (WGU); Professor, Organizational Leadership (UVU); OD/HR/Leadership Consultant (Human Capital Innovations). Read Jonathan Westover's executive profile here.
Suggested Citation: Westover, J. H. (2026). The Rise of Job Stacking: Managing Multiple Remote Roles in the Post-Pandemic Workplace. Human Capital Leadership Review, 27(4). doi.org/10.70175/hclreview.2020.27.4.3






















