Observed Signal · Apr 26, 2023 · Hiring · Source: OnlineMarketing.de · Impact: 2/5 · Sentiment: Neutral
HubSpot Study: Content Strategists in High Demand
HubSpot's Marketing Strategy & Trends Report 2023 surveyed 122 marketing decision-makers in August 2022 to identify hiring priorities. Content Strategists topped the list, cited by 30% as the role with the highest recruiting priority, followed by Community Managers (25%), Content Marketing Managers (22%), and Marketing Data Analysts (20%). The study highlights a skills shortage affecting recruiting: 38% report a lack of qualified candidates; 35% struggle to find applicants with the right skills; 36% find it challenging to meet salary expectations. Turnover in marketing teams remained elevated, with 37% reporting high churn and only 12% expecting turnover to rise this year. The article underscores recruitment as a strategic focus for brands and notes the piece first appeared on Feb 9, 2023.
Article highlights marketing hiring trends and content roles; moderate industry impact
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Key Takeaways & Evidence Grounding
- HubSpot Marketing Strategy & Trends Report 2023 surveyed 122 marketing decision-makers in August 2022.
- Content Strategists named top recruiting priority by 30% of respondents.
- Community Managers named second with 25%; Content Marketing Managers 22%; Marketing Data Analysts 20%.
- 38% report shortage of qualified candidates; 35% difficulty finding candidates with the right skills; 36% challenge meeting salary expectations.
- Turnover in marketing teams rose, with 37% reporting high churn; 12% expect turnover to rise in 2023.
Connected Companies & Entities
1 Entity mappedRelated Market Signals & Shifts
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Content Marketing Jobs Split: Rise of Specialists and AI Skills
A Semrush analysis of 8,000 U.S. content-marketing job listings reveals a structural shift: hiring is polarizing into execution-focused producer roles and senior strategic owners while traditional mid-level generalist roles decline. Hybrid SEO/content titles are rising, signaling convergence of content ownership and search/AI-driven discovery. Job descriptions increasingly emphasize multi-format content creation, analytics and storytelling, and AI literacy is becoming a baseline expectation. Compensation has risen materially for both senior and non-senior roles, reflecting demand for measurable, performance-oriented content ownership.
LinkedIn says don't treat leads as finish in B2B
At LinkedIn's B2Believe event in its new Empire State Building space, executives and practitioners called for a shift from lead-centric B2B marketing to a 'full journey' approach that links signals, targeting, creative, full journey, and measurement. Jae Oh, senior director of product management, revealed that fewer than 10% of upper-funnel audiences make it into bottom-funnel campaigns, urging marketers to connect awareness with demand capture. Research from LinkedIn's B2B Institute with eMarketer showed 77% of marketers say they no longer target individuals, yet only 31% have a playbook for activating audiences down the funnel. Practitioners from Canva, SAP, Mastercard, and others shared examples of aligning marketing and sales on common signals. LinkedIn also outlined a product roadmap focused on cost-per-opportunity targeting, multi-format campaigns, agentic workflows, and incrementality forecasting.
State of Tech Industry 2026: AI Coding Agents Transform Software Engineering
The article, based on a keynote by Gergely Orosz at the LDX3 conference, presents a comprehensive analysis of the tech industry in late 2026. Key trends include the widespread shift to AI coding agents, with most engineers no longer writing code by hand and running 5-10 agents in parallel. Agent-authored PRs on GitHub now exceed human-authored ones, and AI-generated code is leading to a 'golden age' of migrations. The IDE is fading, replaced by CLI-first and agentic environments. Code reviews have become 'theatrical' due to overwhelming volume, and AI-only reviews are rising. Teams are smaller, engineering specializations are blurring, and there is a trend of CTOs resigning to build. Challenges include quality degradation, increased context switching, and infrastructure shortages (GPU, memory, CPU). The article also covers the rise of 'agentic software factories' and custom agent harnesses at major companies, alongside a trend of moving to open AI models to reduce costs.
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