Key insights for leadership development in tech.

By Dennis Landman

Introduction

In today’s rapidly evolving technological landscape, the role of the Engineering Manager (EM) has emerged as perhaps the single most critical factor in determining a development team’s success. As organizations increasingly recognize software development as their competitive advantage, the process of identifying, assessing, and selecting the right engineering leaders has become a sophisticated science at leading tech companies.

The modern EM is expected to balance technical depth with people leadership, strategic vision with tactical execution, and business understanding with engineering excellence. This complex role demands individuals who can navigate ambiguity, foster innovation, and build high-performing teams while delivering consistent results.

Through my twenty years working at the intersection of engineering leadership and talent acquisition, I’ve observed a significant evolution in how companies approach this crucial hiring decision. The stakes are high – studies consistently show that engineering managers influence team productivity by factors of 2-10x, directly impact retention rates, and serve as the primary translators between technical realities and business objectives.

This article examines the multifaceted approaches leading tech development companies employ to identify engineering management talent, revealing the core competencies they value and the assessment techniques they utilize. Whether you’re an experienced EM looking to understand how top companies evaluate leadership or an individual contributor contemplating the leap to management, understanding these insights will provide a roadmap for leadership development in the technical sphere.

The evolving landscape of technical leadership

The engineering manager role has undergone a remarkable transformation over the past decade. What was once primarily a position for seasoned developers ready to “graduate” from coding has evolved into a distinctly different career path requiring specialized skills, aptitudes, and mindsets.

Several factors have driven this evolution:

First, the acceleration of development cycles has fundamentally changed management requirements. The shift from waterfall to agile to DevOps has compressed feedback loops and demanded leaders capable of rapid adaptation and decision-making under uncertainty. Traditional command-and-control management approaches have proven ineffective in environments where innovation and speed are paramount.

Second, the growing complexity of technical ecosystems has elevated the coordination challenges engineering leaders face. Today’s EMs must navigate microservices architectures, distributed systems, multiple cloud platforms, and an ever-expanding toolkit of languages and frameworks. This complexity requires managers who can effectively balance technical depth with breadth.

Third, the increasing diversity of engineering teams – in terms of backgrounds, geographic distribution, and working styles – has heightened the importance of inclusive leadership. The most effective engineering managers now demonstrate exceptional emotional intelligence and cultural sensitivity alongside their technical acumen.

Finally, the growing strategic importance of technology has elevated engineering management to a critical business function. Today’s EMs don’t merely execute projects; they shape product strategy, influence investment decisions, and directly impact business outcomes.

These shifts have prompted leading tech companies to develop sophisticated assessment frameworks for engineering managers. Organizations have learned the hard way that poor EM hires can set teams back months or even years, damage morale, accelerate attrition, and ultimately threaten product quality and market position. Research from the Harvard Business Review suggests the cost of a failed management hire can exceed 15 times the position’s annual salary when considering lost productivity, team disruption, and opportunity costs.

The stakes are high – and companies have responded by creating rigorous, multi-dimensional evaluation processes designed to identify leaders who can thrive in this complex environment.

1. The motivation assessment: Why management?

At the core of every effective engineering management hiring process lies a fundamental question: “Why do you want to be a manager?” Leading tech companies place extraordinary emphasis on this seemingly simple inquiry because the answer reveals the candidate’s intrinsic motivations – perhaps the single most predictive factor of leadership success.

In my research with engineering leaders across multiple organizations, I’ve identified a clear pattern: those who pursue management primarily for extrinsic reasons – advancement, compensation, status, or perceived career ceiling as an individual contributor – almost invariably struggle with the role’s demands. Their satisfaction tends to decline rapidly when confronted with the reality that the position requires primarily giving rather than receiving credit, spending significant time in people dynamics rather than technical problems, and navigating ambiguity rather than solving concrete puzzles.

Conversely, those who genuinely derive satisfaction from growing and developing others demonstrate remarkable resilience in the face of management challenges. As one Director of Engineering at a prominent development firm explained during our interview study: “The moments that give me energy are when someone on my team masters something they struggled with, or when I see a junior engineer I mentored presenting confidently to leadership. Those victories sustain me through the difficult decisions and endless meetings.”

Motivation analysis at DevCorp

In 2021, a team conducted an in-depth analysis of motivation patterns among 78 engineering managers at a mid-sized development company. Their responses to questions about management motivation and correlated these with various success metrics collected over the subsequent 18 months.

The results were striking. Managers who articulated intrinsic people-development motivations showed:

• 32% higher retention rates on their teams

• 28% higher engagement scores from direct reports

• 41% more internal promotions from their teams

• 24% higher likelihood of meeting project milestones

These findings have shaped how leading companies probe for genuine leadership drive during the interview process. Rather than accepting surface-level answers about “wanting to have impact at scale,” sophisticated interviewers ask candidates to:

• Describe specific instances where they derived satisfaction from others’ growth

• Explain their personal leadership philosophy and its evolution

• Articulate what energizes and drains them about management work

• Share examples of mentorship that predates formal management responsibilities

The assessment focuses not just on stated motivations but on past behaviors that demonstrate a genuine drive to develop others. As the SVP of Engineering at a major e-commerce platform noted, “We’re looking for people who were informally managing and mentoring long before they had the title. That’s how we know this isn’t just the next rung on their ladder.”

2. Behavioral interview deep dives

Once motivation is established, leading tech development companies employ sophisticated behavioral interviewing techniques to assess management capabilities. Unlike traditional interviews that might skim the surface of experiences, these sessions dive deep into specific scenarios that reveal how candidates approach leadership challenges.

The STAR method (Situation, Task, Action, Result) serves as the foundation, but with crucial adaptations for engineering management contexts. Interviewers at top companies are trained to probe beyond initial answers, looking for evidence of:

• Self-awareness and reflective capacity

• Systems thinking rather than isolated problem-solving

• Values in action, particularly during challenging situations

• Learning trajectories over time

Critical incidents that reveal leadership capacity

Research on assessment validity has identified several categories of incidents that provide particularly rich insights into management potential:

• Team performance interventions: How candidates have identified and addressed team performance issues reveals their diagnostic skills, courage in addressing problems, and ability to balance individual needs with team outcomes.

• Cross-functional conflicts: Situations involving tension between engineering and other functions (product, design, marketing) demonstrate how candidates navigate competing priorities and build collaborative relationships.

• Technical disagreements: How candidates mediate disagreements between engineers with different technical perspectives shows their ability to facilitate constructive conflict and drive consensus without imposing arbitrary decisions.

• Organizational change scenarios: Examples of helping teams navigate significant changes (acquisitions, reorganizations, strategy shifts) illuminate change management capabilities and emotional intelligence.

Failure analysis as assessment

Perhaps the most revealing line of behavioral questioning centers on failure. Leading companies deliberately focus on failure scenarios because they expose a candidate’s:

• Honesty and integrity in owning mistakes

• Resilience in the face of setbacks

• Ability to extract meaningful learning from negative experiences

• Tendencies under stress and pressure

As the Head of Engineering at a prominent fintech company explained: “When someone can discuss a significant failure openly, take full responsibility rather than blaming circumstances, and articulate specific changes they’ve made as a result – that’s when I start to feel comfortable trusting them with a team.”

The most sophisticated interviewers distinguish between technical failures (which are expected in complex environments) and judgment or character failures (which may reveal more fundamental concerns). They also evaluate how candidates have incorporated lessons from failure into their leadership approach, looking for evidence of reflection translated into action.

One particularly effective technique employed at leading companies is the “failure narrative evolution” assessment, where candidates are asked to describe how they would have characterized a specific failure immediately after it occurred, six months later, and today. This progression reveals growth in perspective and capacity for nuanced analysis.

3. The people leadership dimension

While technical knowledge creates the foundation for credibility, people leadership skills form the core of engineering management excellence. Leading tech development companies have developed multifaceted approaches to assessing these capabilities, focusing on four key dimensions:

1:1 Management philosophy and practice

How candidates structure and approach individual relationships with team members provides critical insight into their leadership effectiveness. Top companies explore:

• Frequency and structure of one-on-one meetings

• Balance between tactical work discussions and career development

• Techniques for building trust and psychological safety

• Approaches for adapting leadership style to different personality types

During interviews, candidates might be asked to role-play a challenging 1:1 scenario or to outline their process for onboarding a new team member. What interviewers seek is evidence of a thoughtful, systematic approach to individual development rather than ad-hoc management.

The best engineering managers view 1:1s as their most important work, not something to be squeezed between ‘real work.’ They come prepared, they’re fully present, and they’re genuinely curious about their reports’ experiences.

Delegation as development

How candidates approach delegation reveals their ability to simultaneously deliver results while growing their teams. Sophisticated interviewers probe for:

• Examples of gradually increasing responsibility based on team members’ readiness

• Strategies for supporting without micromanaging

• Clear distinction between delegating outcomes versus methods

• Approaches for turning personal strengths into team capabilities

Research from my work with engineering organizations has shown that the most effective managers consciously view delegation as a development tool rather than merely a workload management strategy. They ask themselves: “Who would benefit most from this opportunity?” rather than “Who would do this best?”

Team conflict resolution

The ability to address and resolve conflicts constructively represents a critical differentiator between average and exceptional engineering managers. Leading companies use scenario-based questions and past examples to assess:

• Approaches for surfacing hidden conflicts

• Techniques for facilitating productive disagreement

• Methods for achieving resolution while maintaining relationships

• Strategies for establishing healthy conflict norms

One particularly revealing question used by several top tech firms is: “Tell me about a time when two high-performing engineers on your team fundamentally disagreed about a technical approach. How did you handle it, and what was the outcome?”

Building inclusive technical teams

As engineering organizations become increasingly diverse, leading companies place growing emphasis on candidates’ ability to create inclusive environments where all team members can thrive. Assessment in this area focuses on:

• Experience working with team members from different backgrounds

• Concrete actions taken to increase team diversity

• Approaches for ensuring all voices are heard in technical discussions

• Strategies for mitigating unconscious bias in hiring and evaluation

The most sophisticated organizations recognize that inclusion directly impacts technical excellence by ensuring the best ideas emerge regardless of who proposes them. As one CTO at a major development firm noted: “We’re not assessing inclusion as a separate ‘nice to have’ – it’s integral to building teams capable of solving complex problems.”

4. Technical depth requirements

While people leadership forms the core of engineering management, technical credibility remains essential. Leading tech development companies have carefully calibrated the technical assessment portion of their EM hiring process to evaluate appropriate depth without expecting the same skills required of senior individual contributors.

Technical credibility vs. coding prowess

Rather than focusing on coding skills that may have atrophied as managers stepped away from daily implementation, sophisticated assessment processes emphasize:

• Architectural understanding and system design principles

• Technical trade-off analysis capabilities

• Ability to ask insightful questions that reveal technical risks

• Skill in evaluating technical proposals from team members

As Rachel Liu, Engineering Director at a major development platform, explains: “We don’t need our managers to be the best coders on the team. We need them to understand the implications of technical decisions, to spot when a design won’t scale, and to ask the right questions at the right time.”

Architectural understanding assessment

Top companies utilize architecture discussions rather than coding exercises to evaluate technical depth in manager candidates. Common approaches include:

• Whiteboard sessions exploring system design decisions

• Discussion of architectural patterns and their appropriate applications

• Analysis of trade-offs in real-world technical scenarios

• Evaluation of approaches to technical debt and refactoring decisions

These assessments focus on reasoning and judgment rather than specific implementation knowledge, recognizing that frameworks and languages change but architectural principles endure.

Cross-functional technical communication

Perhaps the most critical technical skill for engineering managers is the ability to translate complex technical concepts for non-technical stakeholders. Assessment techniques include:

• Asking candidates to explain a complex technical concept to a simulated executive audience

• Discussing how they have communicated trade-offs to product teams

• Evaluating written technical communications for clarity and appropriate detail

• Role-playing scenarios where technical limitations must be explained to business partners

This “translation” capability often proves more valuable than deep technical knowledge, as it enables engineering teams to build effective partnerships across the organization.

Technical debt and prioritization decision-making

Leading companies place significant emphasis on how managers approach the inevitable tension between feature delivery and technical quality. Assessment focuses on:

• Frameworks for evaluating technical debt impact

• Approaches for making technical investment visible to business stakeholders

• Decision-making processes for balancing short-term and long-term technical needs

• Strategies for incrementally improving architecture without halting delivery

As one VP of Engineering at a rapidly-scaling startup noted: “The mediocre engineering manager lets technical debt accumulate silently until a crisis occurs. The excellent manager makes technical health visible, advocates effectively for necessary investments, and finds creative ways to improve architecture incrementally alongside feature work.”

5. Systems thinking and strategic vision

The most sophisticated tech development companies recognize that exceptional engineering managers think in systems rather than isolated components. They build processes and teams that scale beyond their personal capacity. Assessment in this area focuses on four key dimensions:

Meeting efficiency and communication models

How candidates structure communication reveals their ability to create scalable information flow. Interviewers evaluate:

• Approaches for minimizing unnecessary synchronous meetings

• Strategies for documentation and knowledge sharing

• Frameworks for decision-making at appropriate levels

• Techniques for creating transparency without information overload

In the words of a senior engineering leader at a major development firm: “Meetings are a bug, not a feature. We look for managers who view synchronous time as precious and who build systems where information flows without everyone having to be in the same room.”

Building scalable teams and processes

Leading companies probe for evidence that candidates design systems that continue functioning as the organization grows. Assessment techniques include:

• Discussion of how candidates have evolved team processes over time

• Examples of processes that continued functioning after the candidate moved on

• Approaches for reducing key person dependencies

• Strategies for maintaining quality as teams scale

The most revealing question in this area is often some variant of: “What happens to your team when you’re on vacation for two weeks?” The best candidates describe robust systems rather than heroic effort or constant availability.

Long-term technical planning abilities

While delivery may drive short-term metrics, technical vision shapes long-term success. Sophisticated interviews explore:

• How candidates balance immediate needs with long-term technical direction

• Examples of technical roadmaps they’ve developed and their outcomes

• Approaches for evolving architecture incrementally

• Methods for incorporating emerging technologies appropriately

According to Jason Chen, CTO at a leading development platform: “The exceptional engineering manager can simultaneously operate at multiple time horizons – addressing today’s challenges while steering toward a technical vision that might be years away.”

Balancing innovation with delivery

Perhaps the most nuanced assessment area involves how candidates navigate the tension between predictable delivery and necessary innovation. Interviewers evaluate:

• Frameworks for allocating resources between “run” and “change” work

• Approaches for creating space for experimentation while meeting commitments

• Methods for incorporating learning from innovation back into core products

• Strategies for gradually introducing new technologies rather than risky rewrites

The most effective engineering managers create intentional “innovation boundaries” – clearly defined spaces where controlled experimentation can occur without jeopardizing core delivery. Companies look for evidence of this balanced approach rather than either excessive conservatism or unconstrained experimentation.

Analysis of current trends

The engineering management hiring landscape continues to evolve in response to industry shifts and emerging challenges. Several distinct trends are shaping how leading tech development companies assess leadership candidates:

The rise of distributed team management skills

With remote and hybrid work becoming standard, companies now explicitly assess candidates’ ability to lead distributed teams effectively. This includes evaluating:

• Experience creating cohesion across geographic boundaries

• Strategies for maintaining culture without physical proximity

• Approaches for ensuring equitable experiences for remote team members

• Techniques for facilitating effective remote collaboration

According to the “2023 State of Technical Leadership” report, 76% of engineering organizations now include remote leadership scenarios in their management interviews, compared to just 12% in 2019.

Growing emphasis on psychological safety creation

Research consistently shows that psychological safety – team members’ belief that they can take risks without fear of negative consequences – serves as the foundation for high-performing engineering organizations. Leading companies now systematically assess candidates’ ability to build safe environments through:

• Behavioral questions about addressing failure constructively

• Scenarios involving team members raising concerns or challenges

• Discussion of techniques for encouraging dissenting opinions

• Assessment of how candidates model appropriate vulnerability

We’ve found that psychological safety correlates more strongly with innovation and quality metrics than any other team attribute. Our assessment process now explicitly evaluates a candidate’s ability to create environments where team members feel safe to speak up, experiment, and challenge the status quo.

Data-driven management expectations

As engineering organizations mature in their analytics capabilities, leading companies increasingly expect managers to demonstrate comfort with quantitative approaches to team and process management. Assessment in this area focuses on:

• Experience using metrics to guide team improvement

• Approaches for measuring both delivery and health metrics

• Techniques for avoiding metric manipulation or counterproductive incentives

• Strategies for combining qualitative and quantitative insights

This represents a significant evolution from earlier eras when engineering management was evaluated primarily through subjective assessments of team satisfaction and delivery outcomes.

Cross-functional leadership capabilities

The traditional boundaries between engineering and other functions continue to blur, creating demand for engineering managers comfortable operating at these interfaces. Companies now routinely assess:

• Experience collaborating effectively with product, design, and business functions

• Approaches for representing engineering concerns in cross-functional contexts

• Strategies for building partnerships rather than adversarial relationships

• Techniques for balancing advocacy for the team with organizational needs

According to the 2024 McKinsey “State of Technical Leadership” survey, 82% of organizations now rate cross-functional leadership as “very important” or “critical” for engineering management roles, compared to 64% just three years earlier.

Diversity, equity and inclusion leadership expectations

Perhaps the most significant evolution in engineering management assessment involves the growing emphasis on DEI leadership capabilities. Leading companies now explicitly evaluate:

• Experience building diverse technical teams

• Approaches for ensuring equitable advancement opportunities

• Strategies for creating inclusive technical cultures

• Techniques for addressing unconscious bias in technical evaluation

This shift reflects both ethical imperatives and pragmatic recognition that diverse teams demonstrably produce better outcomes when led inclusively.

Future outlook

As technology continues to transform businesses and society, the engineering manager role will evolve in response to several emerging forces:

The continued evolution of the engineering manager role

The boundary between engineering management and product leadership continues to blur, creating demand for leaders with broader business perspective. We can expect assessment processes to increasingly evaluate:

• Product thinking and customer empathy

• Business model understanding

• Market and competitive analysis capabilities

• Financial literacy for technology investments

Organizations that recognize this evolution will expand development programs to build these capabilities rather than expecting them to emerge organically from technical career paths.

AI and automation impacts on engineering management

As AI-powered coding assistants and automation tools transform development work, the engineering manager’s role will shift toward higher-level coordination and creative problem-solving. Forward-thinking companies are already beginning to assess:

• Ability to effectively integrate AI capabilities into development workflows

• Approaches for upskilling teams as automation changes skill requirements

• Strategies for focusing human creativity where it adds the most value

• Ethical frameworks for responsible AI adoption in development processes

Those who view AI merely as a productivity tool rather than a fundamental shift in how technical work happens will find themselves increasingly disadvantaged in talent markets.

Increased focus on managing through uncertainty

In an era of continuous disruption, the capacity to lead effectively through ambiguity becomes increasingly crucial. Assessment processes will likely place growing emphasis on:

• Comfort with ambiguous problem spaces

• Ability to make reasonable decisions with incomplete information

• Techniques for maintaining team resilience during turbulent periods

• Approaches for balancing exploration and exploitation in uncertain environments

Organizations that master identifying and developing these capabilities will gain significant advantages in rapidly changing market conditions.

Global talent development challenges

As technology organizations expand globally while facing talent constraints, engineering managers must develop skills in identifying and growing talent from diverse sources. Future-focused assessment will evaluate:

• Experience developing talent from non-traditional backgrounds

• Strategies for creating accessible onramps to technical careers

• Approaches for building learning cultures that develop talent internally

• Techniques for creating global talent networks rather than relying on local pools

This shift requires moving beyond credential-based hiring toward potential-based development – a fundamental change in how engineering organizations conceptualize talent.

Predictive hiring methodologies on the horizon

Finally, the assessment process itself continues to evolve as organizations leverage data to improve selection accuracy. Emerging approaches include:

• Work sample tests that simulate actual management scenarios

• Structured assessment centers evaluating multiple competencies simultaneously

• Team-based interviews where candidates interact with potential direct reports

• Data-driven predictive models combining multiple assessment inputs

While these approaches promise improved selection outcomes, organizations must carefully balance analytical rigor with candidate experience and diversity considerations.

Conclusion

The engineering manager hiring process at leading tech development companies offers profound insights into the evolving nature of technical leadership. Through rigorous assessment of motivation, behavioral patterns, people leadership capabilities, technical depth, and systems thinking, these organizations identify leaders capable of building high-performing teams in complex, rapidly-changing environments.

Several enduring principles emerge from this examination:

First, authentic motivation to develop others represents the foundation of sustainable leadership. Those who pursue management for status or advancement inevitably struggle with the reality that the role is fundamentally about enabling others’ success rather than accumulating personal achievements.

Second, effective engineering leadership requires balanced capabilities across multiple dimensions. The technical credibility to earn respect, the emotional intelligence to build psychological safety, the systems thinking to create scalable processes, and the strategic perspective to align technical decisions with business objectives must all exist in harmony.

Third, learning agility – the ability to continuously evolve one’s leadership approach in response to new challenges – has emerged as perhaps the single most predictive characteristic of long-term leadership success. In a field where the half-life of technical knowledge continues to shrink, adaptation becomes more valuable than static expertise.

For aspiring engineering managers, these insights provide a clear development roadmap:

• Begin with honest self-reflection about your motivations for pursuing leadership

• Seek opportunities to mentor and develop others before assuming formal management roles

• Cultivate systems thinking alongside technical depth

• Develop cross-functional fluency and communication skills

• Build deliberate practices for continuous learning and reflection

For organizations, the imperative is equally clear: invest in identifying and developing engineering leadership with the same rigor applied to technical challenges. The compounding impact of exceptional engineering management – through improved quality, accelerated delivery, increased innovation, and enhanced retention – creates sustainable competitive advantage in a technology-driven world.

The future belongs to organizations that recognize engineering management as a distinct discipline worthy of intentional development rather than an inevitable career progression for senior individual contributors. By elevating the identification and development of engineering leadership talent to a strategic priority, these organizations will build the foundation for lasting technical excellence.

References

Behroozi, M., & Parnin, C. (2022). Engineering manager transitions: Challenges and effective practices in technical leadership development. IEEE Transactions on Software Engineering, 48(6), 2083-2097. https://doi.org/10.1109/TSE.2022.3141448

Dillon, S., & Rastogi, A. (2023). The impact of psychological safety on innovation velocity in software engineering teams. Journal of Management Information Systems, 40(2), 514-542. https://doi.org/10.1080/07421222.2023.2176594

Garcia, J., Weissman, M., & Chen, T. (2023). Distributed engineering leadership: Quantifying the impact of management practices on remote technical team performance. MIS Quarterly, 47(3), 1045-1078. https://doi.org/10.25300/MISQ/2023/47.3.05

McKinsey & Company. (2024). State of technical leadership report 2024: Navigating transformation in engineering organizations. McKinsey Digital.

Wageman, R., & Fisher, C. M. (2022). Team leadership redefined: Technical management competencies for modern software organizations. Organizational Dynamics, 51(2), 100-113. https://doi.org/10.1016/j.orgdyn.2022.100113