CTO

Ryan Mahoney

Why this role is hard · Ryan Mahoney

The toughest part of hiring a scaling CTO is finding someone who builds structure without killing momentum. Most candidates have only experienced either total chaos or heavy bureaucracy. You need a leader who can build an internal developer platform to help engineers focus but also admit when a process is slowing things down. They must have the courage to stop product decisions that threaten stability while keeping the CEO on board. If they cannot communicate clearly across teams, the strategy will fail no matter how brilliant they are technically.

Core Evaluation

Critical questions for this role

The competency and attitude questions below are where the hiring decision is made. They run in the live interview rounds and are calibrated to the level selected above.

18 Competency Questions

1 of 18

  1. Discipline

    Engineering Execution & Business Integration

  2. Job requirement

    Business Integration & External Relations

    Aligns engineering OKRs with Series B/C business metrics; manages strategic partnerships and conducts technical due diligence for vendor selection.

  3. Expected at Mid

    While internal scaling takes priority at this stage, the CTO must independently align engineering OKRs with Series B/C business metrics to ensure technical investments drive commercial outcomes. External vendor due diligence and partnership management support this alignment without requiring full executive-level focus.

Interview round: Cross-Functional Collaboration

Walk me through a situation where you aligned engineering plans with broader business goals.

Positive indicators

  • Shared language with non-tech
  • Proactive risk communication
  • Strategic partnership mindset

Negative indicators

  • Engineering works in silo
  • Surprises delivered to business
  • Tech dictates business terms

12 Attitude Questions

1 of 12

Accountability Mindset

A leadership orientation characterized by the voluntary acceptance of responsibility for team outcomes, systemic failures, and strategic decisions, prioritizing organizational integrity and long-term stability over individual credit or short-term expediency.

Interview round: Hiring Manager Technical

How do you handle accountability when a technical decision you championed results in production issues?

Positive indicators

  • Describes immediate response priorities
  • Mentions stakeholder communication
  • References systemic improvements

Negative indicators

  • Focuses on finding who to blame
  • Minimizes severity of issues
  • No preventive measures mentioned

Supporting Evaluation

How candidates earn the selection conversation

The goal is to reduce effort for everyone by collecting more useful signal before adding more interviews. Lightweight application prompts and structured screens help the panel focus live time on the candidates most likely to succeed.

Stage 1 · Application

Filter at the door

Runs the moment a candidate hits Submit. Disqualifying answers end the application; everything else is captured for review.

Video-Response Questions

1 of 3

Application Screen: Video Response

Describe how you would present a complex technical architecture trade-off to a board of directors focused on short-term revenue goals, ensuring they understand the long-term business impact without using technical jargon.

Candidate experience

REC
0:42 / 2:00
1Record
2Review
3Submit

Response time

2 min

Format

Recorded video

Stage 2 · Resume Screening

Read the resume against fixed criteria

Reviewers score every application that clears the door against the same criteria. Stronger reviews advance to live interviews; weaker ones are archived without further screening.

Resume Review Criteria

8 criteria
Evidence of scaling engineering organizations, establishing co-delivery operating models with product/design, and tracking engineering metrics.
Evidence of designing and launching self-service internal developer platforms, implementing golden paths, and managing infrastructure at scale.
Evidence of defining SLOs/error budgets, leading reliability practices, and acting as incident commander for critical system outages.
Evidence of authoring multi-year architecture roadmaps, maintaining technical debt registers, and balancing innovation with system stability.

Does the cover letter or personal statement convey clear relevance and familiarity with the job?

Does the resume indicate required academic credentials, relevant certifications, or necessary training?

Is the resume complete, well-organized, and free from formatting, spelling, and grammar mistakes?

Does the resume show relevant prior work experience?

Stage 3 · During Interviews

Where the hire is decided

Interview rounds use the competency and attitude questions outlined above, then add tests, work simulations, and presentations that reveal deeper evidence about how the candidate thinks and works.

Presentation Prompt

Prepare a short deck walking us through your approach to establishing a co-delivery operating model with product and design. Discuss how you would align engineering and product on shared outcomes, implement strict SLOs across five growing squads, and manage trade-offs without sacrificing deployment frequency.

Format

deck-and-walkthrough · 20 min · ~2 hr prep

Audience

Executive team, Head of Product, and Engineering Managers.

What to prepare

  • 3-5 slides outlining your operating model framework, key metrics, and a hypothetical rollout plan.
  • Be prepared to discuss how you would handle scope creep, conflicting priorities, and SLO violations in practice.

Deliverables

  • A 15-minute presentation walking through your deck and operating model rationale.
  • A 5-minute Q&A focusing on cross-functional leadership and delivery execution.

Ground rules

  • Use anonymized or hypothetical examples. Do not build a full operational handbook.
  • Focus on process design, decision rights, and how you would foster a blameless, outcome-oriented culture.

Scoring anchors

Exceeds
Articulates a highly adaptive, outcome-driven operating model with clear governance boundaries, anticipates cross-functional friction points, and provides a realistic, psychologically safe rollout strategy.
Meets
Presents a coherent co-delivery framework, defines clear SLO and deployment metrics, and demonstrates solid understanding of cross-functional alignment and change management.
Below
Offers a generic or overly bureaucratic process, struggles to define decision rights or conflict resolution mechanisms, or ignores the cultural and psychological safety requirements of the transition.

Response time

20 min

Positive indicators

  • Frames the operating model around shared business outcomes rather than engineering or product output silos.
  • Proposes concrete mechanisms for decision rights, conflict resolution, and SLO enforcement that protect team capacity.
  • Anticipates resistance and outlines a structured change management and feedback strategy.
  • Communicates deployment frequency vs. stability trade-offs with precision and transparency.

Negative indicators

  • Presents a rigid, top-down process without accounting for team autonomy or psychological safety.
  • Relies heavily on operational jargon without explaining the human or cultural impact of the changes.
  • Avoids discussing how to handle inevitable scope creep, missed SLOs, or pushback from product leadership.
  • Fails to articulate how trunk-based development and strict SLOs can coexist with high deployment frequency.

Work Simulation Scenario

Scenario. You are the Scaling CTO leading a 45-engineer organization. The company needs to design and launch an internal developer platform (IDP) with golden paths to accelerate delivery. You are facilitating a decision meeting with Product, Security, and Engineering leadership to align on scope, guardrails, and rollout strategy.

Problem to solve. Drive a cross-functional decision on IDP scope, balancing standardization (golden paths) with flexibility, while addressing security compliance requirements and engineering adoption concerns.

Format

cross-functional-decision · 40 min · ~2 hr prep

Success criteria

  • Establish clear decision rights and scope boundaries for the IDP
  • Align on security guardrails that don't block developer velocity
  • Define a rollout strategy with adoption incentives and exception handling

What to review beforehand

  • Current engineering bottlenecks and deployment frequency metrics
  • Security compliance requirements (SOC 2, ISO 27001)
  • Platform engineering principles and golden path concepts

Ground rules

  • You are driving the discussion, not just listening. Frame tradeoffs explicitly.
  • Each stakeholder has competing incentives; navigate them to a decision.
  • Conclude with a clear action plan, decision log, and communication strategy.

Roles in scenario

VP of Product (skeptical_stakeholder, played by hiring_manager)

Motivation. Maintain rapid feature delivery and avoid platform bottlenecks that slow down customer-facing releases.

Constraints

  • Q3 roadmap has 3 major feature launches tied to platform stability
  • Will not accept a feature freeze longer than 2 sprints for platform adoption

Tensions to introduce

  • Push back on strict golden paths, arguing they limit product experimentation
  • Demand custom exceptions for legacy services that don't fit the new template
  • Question ROI: 'How does this IDP actually ship features faster?'

In-character guidance

  • Focus relentlessly on customer delivery timelines and feature velocity
  • When asked about exceptions, insist on a lightweight approval process, not a full platform review
  • Acknowledge platform value but demand proof of velocity gains within 60 days

Do not

  • Do not concede to a full platform freeze without explicit velocity guarantees
  • Do not become hostile; maintain a business-outcome focus
  • Do not solve the technical architecture problem; keep the pressure on delivery impact

Head of Security (cross_functional_partner, played by cross_functional)

Motivation. Ensure all platform deployments meet SOC 2 controls, data residency rules, and least-privilege access standards.

Constraints

  • Must enforce automated policy-as-code checks before production deployment
  • Cannot approve manual security reviews for every service due to audit requirements

Tensions to introduce

  • Insist that golden paths include mandatory vulnerability scanning and IaC policy gates
  • Reject any proposal that allows teams to bypass automated compliance checks
  • Warn that shadow IT will trigger immediate audit findings

In-character guidance

  • Anchor all arguments in compliance risk and audit readiness
  • When asked about tradeoffs, state that security gates are non-negotiable but can be automated into the golden path
  • Offer to co-design the policy templates if engineering commits to the platform

Do not

  • Do not block all platform progress; propose automated guardrails as the solution
  • Do not act as a pure blocker; frame security as an enabler of safe velocity
  • Do not volunteer technical implementation details unless asked

Director of Engineering (peer, played by peer)

Motivation. Protect team morale, prevent burnout from platform migration overhead, and ensure the IDP actually solves developer pain points.

Constraints

  • Teams are already at 90% capacity; cannot absorb a heavy migration lift
  • Will not adopt a platform that increases local dev setup time or CI duration

Tensions to introduce

  • Express skepticism about 'golden paths' becoming 'golden cages' that stifle innovation
  • Highlight that custom templates will be needed for data-heavy and ML workloads
  • Demand that the platform team handles all initial migration work, not squad engineers

In-character guidance

  • Advocate for developer experience and realistic capacity planning
  • When asked about adoption, propose opt-in phases with platform team support
  • Push back on rigid standardization; request extensibility hooks for specialized workloads

Do not

  • Do not agree to take on full migration burden without platform team resourcing
  • Do not dismiss security or product concerns; frame them as capacity and UX issues
  • Do not solve the platform architecture; focus on team impact and adoption strategy

Scoring anchors

Exceeds
Navigates competing incentives to a crisp decision, balances compliance with velocity through automated guardrails, and establishes a resourced, phased adoption plan with clear exception governance.
Meets
Facilitates a structured discussion, acknowledges key constraints, and proposes a reasonable phased rollout with basic exception handling and success metrics.
Below
Fails to drive a decision, ignores capacity or compliance constraints, or proposes a one-size-fits-all platform strategy that alienates key functions.

Response time

40 min

Positive indicators

  • Explicitly frames tradeoffs between standardization, security compliance, and delivery velocity
  • Drives toward a clear decision on scope, exception handling, and rollout phases
  • Validates capacity constraints and proposes a resourced migration strategy
  • Establishes measurable success criteria and feedback loops for adoption

Negative indicators

  • Allows stakeholders to dominate without synthesizing or driving to a decision
  • Proposes rigid standardization without addressing legitimate product or engineering constraints
  • Fails to define clear decision rights or exception processes for golden paths
  • Ignores capacity limits or security audit requirements in the rollout plan

Progression Framework

This table shows how competencies evolve across experience levels. Each cell shows competency at that level.

Engineering Execution & Business Integration

5 competencies

CompetencyJuniorMidSeniorPrincipal
Business Integration & External Relations

Translates technical debt and infrastructure costs for finance teams; manages vendor relationships for development tools and basic partnerships.

Aligns engineering OKRs with Series B/C business metrics; manages strategic partnerships and conducts technical due diligence for vendor selection.

Presents technical strategy to board and investors; leads M&A technical integration and manages multi-million dollar vendor negotiations.

Shapes regulatory and industry standards for technology business models; drives ecosystem partnerships that redefine market structures.

Engineering Management & Culture Development

Coaches individual contributors and junior managers; facilitates basic team retrospectives and structured 1:1 frameworks.

Implements engineering manager training programs; establishes performance management systems and technical mentorship frameworks across departments.

Creates culture of technical excellence across 200+ person organizations; designs diversity and inclusion programs and staff engineer tracks.

Defines industry-leading engineering culture models; creates management frameworks adopted by other organizations as best practice standards.

Engineering Operations & Delivery Excellence

Implements CI/CD pipelines for individual services; optimizes build times and basic deployment automation for small teams.

Re-engineers SDLC processes across multiple teams; implements DORA metrics tracking and optimizes deployment frequency and lead time for changes.

Transforms engineering productivity at organizational scale; implements advanced workflow automation and predictive delivery analytics.

Redefines software delivery paradigms (e.g., continuous deployment at massive scale); creates industry-leading developer velocity frameworks.

Organizational Scaling & Talent Strategy

Structures teams for single product lines; implements basic hiring rubrics and onboarding programs for small engineering teams.

Designs org structures for 50-150 person engineering teams; creates career ladders and technical interview processes that scale with growth.

Architects organizations for 500+ engineers; designs matrix structures, technical guilds, and leadership pipelines for sustained hyper-growth.

Redefines organizational models for the industry (e.g., hybrid remote-first structures); creates scalable talent frameworks adopted across the tech sector.

System Reliability & Performance Engineering

Establishes monitoring and alerting for service-level indicators; manages incident response for specific applications and basic troubleshooting.

Implements SLO/SLI frameworks across service portfolios; leads blameless post-mortems and reliability engineering practices organization-wide.

Architects resilient systems with 99.99%+ availability targets; establishes chaos engineering practices and reliability as a core organizational competency.

Sets industry reliability standards; designs anti-fragile systems architectures that automatically adapt to failures at planetary scale.

Strategic Architecture & Platform Engineering

4 competencies

CompetencyJuniorMidSeniorPrincipal
Data & AI/ML Infrastructure Strategy

Designs data pipelines for analytics and reporting; implements basic ML model deployment infrastructure for specific use cases.

Architects data lakes/warehouses and MLOps platforms; establishes data governance and feature stores for cross-team ML collaboration.

Designs real-time AI/ML infrastructure at scale; architects LLM integration strategies and vector database architectures for enterprise AI.

Creates novel data architectures (e.g., federated learning, differential privacy at scale); defines ethical AI infrastructure standards adopted industry-wide.

Platform & Infrastructure Architecture

Designs cloud infrastructure for single applications; implements infrastructure-as-code and basic monitoring for small-scale systems.

Leads platform migrations and multi-region deployments; establishes internal developer platforms (IDPs) and infrastructure standards across teams.

Architects multi-cloud or hybrid infrastructure at scale; designs self-service platform ecosystems that reduce time-to-production by an order of magnitude.

Creates novel infrastructure paradigms (e.g., edge computing, serverless ecosystems); publishes reference architectures adopted across the industry.

Security & Compliance Architecture

Implements security best practices for application development; manages vulnerability remediation workflows and basic access controls.

Designs security architecture for cloud-native environments; establishes SOC 2 or ISO 27001 compliance programs and secure SDLC practices.

Architects zero-trust security frameworks; balances security constraints with developer velocity and manages enterprise-wide risk portfolios.

Defines next-generation security paradigms (e.g., confidential computing, homomorphic encryption); influences global security standards and compliance frameworks.

Technology Strategy & Architecture Governance

Develops 12-18 month technical roadmaps for specific product domains; conducts architecture reviews for feature-level changes using established patterns.

Creates 3-year platform strategy spanning multiple systems; implements architecture decision records (ADRs) and governance boards for cross-team alignment.

Sets 5-year technical vision aligned with market trends; architects enterprise-wide platforms and influences industry standards through external engagement.

Defines paradigm-shifting architectural frameworks that reshape industry practices; drives ecosystem-level platform economics and multi-organizational technical standards.