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AI Leadership: coverage and evidence audit

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Audit date: 2026-10-05. Baseline before content corrections: bank snapshot 6648af25ee5f04f1141b96a81900032af06a460d, 294 questions overall. The baseline findings and 20 checks below describe that snapshot; links navigate to the current questions. The current-content addendum records subsequent corrections and additions. This is a curriculum audit, not a claim that the collection covers every leadership interview.

All 155 Leadership-tagged questions were reviewed individually for the meaning of their prompt, tested competence and outline, role/level fit, evidence metadata and availability of reading and answers. There are 70 Leadership priority questions and 89 answer-bearing Leadership questions: the latter includes questions prioritised only for Engineering. All 155 have outlines; 37 have no reading. The per-question working record separates editorial branch assignment from the role actually named by evidence. This semantic review is not a fresh factual verification of all 155 source claims. The separate source check below covers 20 different questions.

What the baseline bank supports

Product discovery, AI suitability, metrics, launch judgement and first-line engineering management have usable learning material. Technical design questions also support a leader's design review, provided the exercise asks for a decision, operating owner and evidence. A technically demanding prompt does not establish managerial seniority.

Head/Director preparation is materially thinner. Feature prioritisation, cost per task, a large-team retrospective and stakeholder influence are useful precursors; none alone tests a portfolio under a cash and staffing constraint. The new cases add portfolio allocation, build/buy, management through managers and executive decisions as editorial practice. They do not create evidence that employers ask those cases.

TPM practice has useful dependency, uncertainty and readiness scenarios. Several of the clearest ones are generated, and sourced delivery prompts mostly come from PM or EM material. Their educational relevance is stronger than their evidence of specialist AI TPM interviewing.

Baseline evidence composition

Count questions once by their combination of evidence kinds, not once per company attribution:

Evidence combination Questions What it establishes
Preparation guide only 31 Secondary preparation material
Compilation only 84 Unverified question attribution from a compilation
Preparation guide plus compilation 1 Two kinds of secondary support, not first-hand confirmation
Participant report 23 Public candidate/interviewer account within its stated role and date
Official source 2 Employer-published general PM or Senior Staff+ material
Generated; no interview evidence 14 Editorial practice only

The compilation appears on 85 distinct questions, including the mixed row. Many guides and reports share one publisher; source count is not independent corroboration. Primary technical reading improves an answer's learning support without upgrading interview attribution. A job posting describes responsibilities, never a question or interview stage. See the methodology.

Baseline P0 competence matrix

These are editorial preparation priorities, selected by responsibility rather than title or market-frequency claims. Covered means the present bank has a usable prompt, outline and learning support for the stated scope; partial means an important decision/output is absent; missing means no direct current question covers the scope. These are material-coverage judgments, not learner scores. Evidence strength is a separate column. A = written answer; O = outline only. Each linked question contains its precise reading list; named readings below are useful starting points, not new interview sources. Case IDs refer to the supplement.

P0 competence Role and scope Exact current anchors; answer/reading support Educational coverage before supplement Interview-evidence limit Practice
Discovery and AI/no-AI decision Product, senior IC/lead prod-enterprise-discovery, prod-ai-suitability, prod-expensive-mvp: A; research recruiting, Rules of ML Covered for a bounded opportunity Interviewer account plus prep guide; level is editorial P1
Metrics and experiments Product, senior IC/lead prod-ai-feature-metrics: A; HEART. eval-online: O; evaluation reading Partial: experiment validity needs an executed analysis Guide/compilation; eval-engineer practice tag is not PM evidence P2
Economics, trust, launch/stop Product, senior IC/lead prod-enterprise-ai-pricing, prod-confident-errors, prog-prelaunch-hallucinations: A; cost essay, NIST, agent evals Covered at one-product scope; combine decisions in practice Interviewer account and secondary samples; no universal loop P3
Architecture and reliability EM/Platform, team/service owner sd-gateway, eval-release-gate, inf-cost-reduction: A; idempotency, evals, SRE Covered for technical review; partial operational authority Compilation and engineering practice tags E1
AI-assisted SDLC and hiring signal EM/Platform, people manager lead-ai-review-skills: A; lead-ai-interview-redesign: O; AI-resistant evaluations Partial: no observed review/calibration output yet Generated; official blog is reading, not evidence these questions were asked E2
Staffing and platform ownership EM/Platform, team lead/manager lead-platform-team-charter, ops-platform-ownership, lead-strategic-hiring: A; Team Topologies, SRE, manager training Covered for a team charter; add explicit capacity arithmetic Generated plus general secondary management material E3
Coaching, performance, team health EM, first-line manager lead-low-performance, lead-mentee-growth, lead-team-after-change: A; manager training, organisational change Covered at team scope; source adaptations noted below General EM reports; not proof of an AI-specific loop E4
Portfolio and budget allocation Head/Director, delegated portfolio authority prod-roadmap: O, no reading; prod-product-cannibalisation: O, no reading; inf-cost-reduction: A Missing direct multi-initiative budget case; anchors are precursors PM/technical material; insufficient director interview evidence H1
Build/buy and resource allocation Head/Director, investment owner app-open-model-engagement: O; evals, serving docs. lead-platform-team-charter: A Partial: vendor exit, staffing, opportunity cost and cash envelope absent together Compilation/generated; insufficient director interview evidence H2
Organisation change and executive stakeholders Head/Director, several teams/managers lead-team-scale, lead-reorganisation-retention, beh-stakeholder-priorities: A; manager training, organisational change Partial: team-level material needs a manager-of-managers decision EM report/compilation; no verified director-level loop H3
Research uncertainty and milestones TPM/Delivery, programme owner prog-research-milestones, lead-research-product-boundary: A; design docs, Rules of ML Covered conceptually; needs a falsifiable milestone plan Generated; no reported TPM question T1
Dependencies and schedule recovery TPM/Delivery, multi-team programme prog-dependency-slip, prog-cross-team-delivery: A; dependency mapping, design docs Covered for replanning Generated and EM report; report unavailable in current check T2
Readiness, rollout and incidents TPM/Delivery, release coordination prog-multi-owner-readiness, prog-device-update, app-pilot-rescue: A; NIST, SRE, evals Covered in separate prompts; rehearse one connected incident Generated/PM guide/compilation; not direct TPM evidence T3
Technical literacy, evaluation and action authority All four, depth follows remit pt-method-choice, eval-benchmark-mismatch, sec-action-authorisation, sec-safe-deployment: A; RAG/LoRA, Rules of ML, NIST Covered for decisions; not a substitute for engineering implementation Mostly compilation; learning support is stronger than interview attribution S1
Truthful behavioural evidence All four, actual authority and contribution beh-mistake-learning, prog-initiative-retrospective: A; postmortem culture Covered as an account-building method Compilation/EM account; learner's experience must be real S2

Baseline twenty-question source check

All checks below were made 2026-10-05 on public page content. This is a purposive sample, five practice anchors per branch, not a random estimate of accuracy. The Head/Director rows deliberately inspect transferable precursors because direct director evidence is insufficient. The TPM rows likewise do not relabel PM/EM reports as TPM reports. “Match” means the opened source supports the question's core, not its editorial answer or every follow-up. No source was upgraded because it called itself verified.

Branch Canonical question Exact source and opened scope Finding
Product prod-enterprise-ai-pricing Habr interviewer account, economics section Match: pricing, costs and customisation; participant, no named employer
Product prod-enterprise-discovery Habr, discovery section Match: enterprise persona, recruitment and problem value
Product prod-expensive-mvp Habr, prototyping section Match: expensive/slow MVP; outline is editorial
Product prod-notification-paradox Meta AI PM participant, analytical screen Match; general analytics prompt within reported AI-PM interview
Product prod-impactful-product Monzo PM guide, project walkthrough Match; official general PM, dated 2022
EM/Platform lead-low-performance Google L6 EM participant, people-management round Adapted: source hypothetical; bank asks past experience
EM/Platform lead-disruptive-star Google L6 EM, people-management round Adapted: source hypothetical; bank asks past experience
EM/Platform lead-mentee-growth Anthropic EM participant, management questions Match; EM account, not director confirmation
EM/Platform lead-team-disagrees Anthropic EM, management questions Match; response method remains editorial
EM/Platform lead-team-after-change Google L6 EM, new-team morale scenario Match in core; bank generalises the scenario
Head/Director precursor lead-team-scale Anthropic EM, process and management questions Match to EM scope; managers-of-managers not established
Head/Director precursor lead-reorganisation-retention Google L6 EM, difficult-change discussion Adapted: actual attrition in source; threatened departure in bank
Head/Director precursor lead-opportunity-coalition Monzo Senior Staff+, impact and leadership section Match; official IC leadership, not director/EM interview
Head/Director precursor prod-product-cannibalisation Meta AI PM, marketplace follow-up Match; L5 PM report, not portfolio-owner interview
Head/Director precursor lead-strategic-hiring Stripe preparation guide, people/organisation screen Partial match: strategic hiring topic; bank reframes it; secondary
TPM/Delivery transfer prog-difficult-launch OpenAI PM guide, recently asked launch questions Match in secondary guide; PM scope
TPM/Delivery transfer prog-prelaunch-hallucinations Amazon AI PM guide, generative-AI samples Match to practice sample, not first-hand interview proof
TPM/Delivery transfer prog-device-update Amazon AI PM guide, product-thinking samples Match; secondary PM guide
TPM/Delivery transfer prog-cross-team-delivery Meta EM report, attempted original and redirect URLs Unavailable: public fetch failed; no pass or new corroboration
TPM/Delivery transfer prog-initiative-retrospective Anthropic EM, initiative presentation Match; reported EM presentation, not TPM loop

The adapted and partial findings above are historical findings against the baseline wording, not descriptions of the corrected prompts now reached by the links. The first audit pass did not change the bank. The authorised content pass below subsequently aligned four prompts while retaining their IDs and evidence kinds. Hypothetical practice and truthful past experience remain distinct formats.

Current-content addendum — 2026-10-05

The content pass now has 160 Leadership questions, 76 Leadership priorities and 97 answer-bearing Leadership questions, including shared Engineering priorities. Across both tracks there are 299 questions, 158 answer-bearing priority questions, 247 sources and reading on all 299 questions. Counts establish available material, not competence mastery or factual verification. The original 155-question semantic record remains a dated baseline; new and reworded questions received the separate semantic checks described here. The 20 baseline source checks do not verify every new answer or all current employer attributions.

Source-faithful corrections

Stable ID Current wording/type and follow-through Current source verdict
lead-low-performance Hypothetical performance problem; changed to applied scenario with prospective support and follow-up Google L6 EM participant report reopened; hypothetical core matches
lead-disruptive-star Hypothetical collaboration problem; changed to applied scenario, with observable behaviour and fair process Same report reopened; hypothetical core matches
lead-reorganisation-retention Actual difficult change involving departures; changed to behavioural, with truthful experience and remaining-team consequences Same report reopened; actual attrition core matches
lead-strategic-hiring Most recent strategic engineering hire; behavioural answer distinguishes personal authority, hiring bar and observed results Stripe guide reopened; last strategic hire and hiring-bar scope now aligned; still secondary preparation material

Each correction includes EN/RU tests, outline and answer changes. The explanatory follow-ups are editorial, not a transcript. Google remains a general EM participant report; Stripe remains a general management preparation guide. The original URLs redirected to the same Aced material. Relative update labels do not establish publication or interview dates. Meta EM was attempted again on 2026-10-05 and remained unavailable: prog-cross-team-delivery is not freshly verified, and the source retains its last successful retrieval date.

Added learning coverage and semantic checks

Question and priority Role/authority and distinct decision Educational coverage now Interview evidence
ops-ai-portfolio-allocation, L71 Head/Director with delegated portfolio authority; allocate cash and people after a cut across dependent initiatives Direct bounded question, EN/RU answer, checklist and appraisal reading; extends feature-roadmap precursors Generated from eligible operating-model radar theme; no employer attribution
ops-ai-build-buy-exit, L72 Investment owner; approve renewal or replacement with contract timing and a funded, tested exit Direct question with organisational capacity and continuity, beyond model selection Generated; cloud guidance supports learning only
lead-managers-accountability, L73 Manager of managers; resolve interfaces and executive commitments while retaining managers' authority Direct question, answer and decision-rights checks, beyond a single platform charter Generated; GitLab role/process reading is not question evidence
prod-ai-stop-investment, L74 Product investment owner; stop or narrow an existing product and support its users Direct question joining incremental value, remaining uncertainty and withdrawal, beyond initial launch Generated; experiment/metrics reading is not interview corroboration
prog-incident-without-rollback, L75 TPM/programme coordination; contain harm and establish restart evidence when rollback is unavailable Direct question connecting incident authority, customer response and recovery Generated; not reported as an AI TPM question
lead-ai-interview-redesign, L76 EM/hiring owner; choose disclosed tool policies and assess individual judgement Existing generated question gains EN/RU answer and revised checklist; avoids prescribing one universal AI policy Generated status retained; official engineering blogs are reading

All six have three-point checklists, primary reading and answers of 100–180 words in each language. Priorities 1–70 retain their order. The five new questions use qualifying Leadership radar themes and make their role authority explicit in the scenario; they do not invent employer levels. Conceptual comparison checked the additional decision dimension against roadmap, platform-charter, model-selection, launch and readiness predecessors. Similar wording checks alone would not establish distinct coverage.

Thirty reading gaps in the seven Leadership-owned themes were filled with topic-specific primary material; the parallel Engineering pass closed the remaining gaps. Reading fit was checked against each prompt: for example offline synchronisation for the field catalogue, marketplace matching for cold start, FINRA's detection discussion for financial-crime decomposition, and compensation components for the mission-without-upside question. Sources describe methods or domains, not new interview occurrences. Research uncertainty and multi-owner readiness already have direct questions; the guide now routes to their answers instead of duplicating them.

Stronger process sources, with limits

All three pages below were opened on 2026-10-05. Amazon's TPM preparation page is undated and describes a general TPM phone screen, writing assessment and five-interview loop, including systems design. The Amazon company page now separates those official stages from its existing secondary AI-PM path.

GitLab's Engineering Director page contains an actual hiring-process section and shows a 2026-03-12 modification date. Product Management Leadership also describes Director hiring stages; no publication date was established here. These support scoped general Director process and responsibility claims. They do not supply the new AI cases, independent corroboration from a second publisher, or evidence that all Director roles have identical authority. No GitLab company page was added solely from these same-publisher documents.

Direct first-hand Head/Director and specialist AI TPM question evidence remains a sourcing gap. The source corrections, educational additions and official process research improve different things; none justifies calling the entire current bank freshly source-verified. The question-led guide keeps changed conditions and a shared oral-answer rubric, without requiring code exercises, labs, projects or an automated evaluator.

Ambiguous assignments and remaining gaps

Role tags are editorial. The bank includes FDE, evaluation-engineer, inference-engineer and research-engineer prompts in Leadership. sd-model-api, agt-erp-writes, inf-runtime-choice, llm-compute-optimal and code-refactoring are technical review or elective depth; they cannot substitute for hiring, coaching or resource allocation. lead-engineering-persuasion is product partnership, not people management. prod-handyman-marketplace and prod-volunteer-cold-start are general PM transfer exercises even though their account describes an AI-PM track.

Domain prompts about payments, clinical notes, legal authority, age assurance or robotics are conditional on the role's remit. Their short outlines and generic references do not establish legal, medical or physical-safety sufficiency. The supplement does not promote them to universal P0. Unspecified levels stay unspecified; a senior practice label is not evidence of a company's level calibration. Real budget authority, direct reports, managers led and decisions owned must be stated independently.

The remaining sourcing priority is direct public Head/Director and AI TPM interviewing evidence from additional independent publishers. The remaining learning priority is learner-produced evidence: decisions, arithmetic, release criteria and delayed retries. Completing a case adds a practice result, not a reported interview question or professional achievement.

Current role research and source boundaries

The following official pages were opened on 2026-10-05. Dates are publication dates when known; otherwise undated/live. These are scoped employer examples, not a representative labour-market survey.

Source Date Exact use and limit
Anthropic PM, Claude Science Undated/live This posting links researcher discovery, roadmap ownership and evaluation fluency. It does not describe an interview
Anthropic EM, Data Infrastructure Undated/live This role combines people development, platform reliability/cost and staffing. Platform employment at an AI company does not establish an AI-specialist interview
Anthropic TPM, Research Undated/live This role includes research/engineering coordination, changing priorities and operational ownership; no interview questions are supplied
Pfizer AI Oncology Portfolio Lead, Director Undated/live Explicitly an individual-contributor role: a Director title alone cannot establish people or budget authority
Anthropic, AI-resistant technical evaluations 2026-01-21 A performance-engineering hiring-task redesign example; motivates calibration practice, not a universal policy permitting AI in interviews
Monzo PM / Senior Staff+ 2022-10-04 / 2025-05-02 Official interview baselines; general PM and senior IC scopes, respectively
Habr interviewer Date not established in this check First-hand account of the author's enterprise AI PM interviewing; not a company-wide process
Participant and prep pages linked in the 20-row table Undated/dynamic Relative page timestamps are not exact interview dates; guides remain secondary, reports remain individual accounts

An additional Sony Pictures Director posting appeared in search, but opening it returned no readable body; it was not used to establish director requirements. An Anthropic Business Technology PM posting redirected to a jobs listing and was excluded. Unavailable pages and search snippets were not silently counted as successful verification.