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Side-by-side capability-dimension intelligence. How AI is reshaping each role, dimension by dimension — generated for any role, with the signal-coverage detail below.
Both roles weight Prioritisation & Tradeoffs highly (Software Engineer 50%, Marketing Manager 80%). Software Engineer weights Implementation Quality 100% more; Marketing Manager weights Outcome Ownership 100% more.
What is happening to each role right now — generated on demand for any role title, not limited to canonical archetypes.
Software Engineer
Hiring volumes for software engineers contracted sharply in 2023–2024 following mass layoffs across big tech, but stabilised in late 2024. Demand is now bifurcating: engineers who can work effectively with AI coding tools (Copilot, Cursor, Claude) and ship at higher throughput are commanding salary premiums, while pure implementation roles at junior and mid levels face real compression. Backend and infrastructure engineers with distributed systems depth remain in short supply. Full-stack generalists without clear systems or product instincts are experiencing the most pricing pressure. Companies rebuilding headcount post-freeze are hiring senior engineers at a 2:1 ratio over junior hires — a structural shift that is likely to persist. Security-aware engineering is becoming a baseline requirement, not a specialism, following a run of high-profile supply-chain incidents. AI is absorbing first-draft code generation and boilerplate; the premium is shifting toward system design judgment, debugging complex distributed failures, and owning production reliability. Engineers who avoid AI tooling are falling behind on raw throughput benchmarks in hiring assessments.
Marketing Manager
Marketing Manager hiring has bifurcated sharply. Generalist roles at mid-market companies are compressing — headcount is flat or declining where AI-assisted tools (HubSpot AI, Jasper, Canva AI) allow leaner teams to produce more output. Demand is concentrating in two areas: performance-focused managers with provable pipeline attribution (PLG and demand-gen specialists), and brand/content managers with strong editorial judgment that AI copy cannot replicate reliably. Salary premiums are moving toward candidates who can own a full-funnel view — connecting spend to revenue, not just impressions to clicks. B2B SaaS remains the highest-volume hiring segment; e-commerce and fintech follow. Roles requiring MarTech stack ownership (HubSpot, Marketo, Salesforce Marketing Cloud) command 10–20% premiums over equivalent titles without it. The clearest threat is to campaign coordination work: briefing, scheduling, and basic copywriting are being absorbed by AI tooling, reducing junior-to-mid headcount. Managers who can interpret first-party data signals and translate them into positioning decisions are most defensible. CMO-to-Marketing-Manager ratio is widening at Series A–B companies, meaning direct board or C-suite exposure is increasingly common at this level.
Dimensions both roles weight, sorted by combined weight. Bars show each role's relative weight; pills show how AI is reshaping the dimension.
The legacy signal-count view — validated capability evidence per role archetype. Complementary to the capability-dimension comparison above.
Tasks tracked
AI signals
Top disrupted task
Dimensions one role weights and the other doesn't — where the two roles genuinely diverge.
Only Software Engineer
Only Marketing Manager
The dimensions where the two roles diverge most — the clearest read on how the work actually differs.
Most protected task
Avg confidence
Top tasks ranked by AI exposure — capability × (1 − defensibility). Bars show capability evidence intensity.
Software Engineer
full profile →Top confidence: Plausible
Top confidence: Plausible
Top confidence: Confirmed
Top confidence: Confirmed
Marketing Manager
full profile →Top confidence: Confirmed
Top confidence: Plausible
Top confidence: Confirmed
Top confidence: Plausible
Run the assessment as a software engineer or marketing manager— Runway maps your actual task mix against the graph and surfaces the specific signals moving against you. About 10 minutes, free, no card.