Signals from Silicon Valley: What’s hot in sales/GTM right now?

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We've brought together leading voices in SaaS and AI sales to unpack what's really happening on the front line of go-to-market right now. Join SaaS operating advisor Matt Cameron, Grw AI founder Alex McNaughten and Apprento co-founder Scotty Freeman for a candid conversation about the trends, tools and team dynamics reshaping modern revenue engines.

Key themes:

1. The New GTM Org Design: Systems Over Roles
Revenue organisations are restructuring around three layers: AI/workflow operations (automating data cleansing, enrichment, routing), human experts (focusing on creativity and relationships), and executive orchestration (CROs as AI systems architects). The critical new role is the "go-to-market engineer," but avoid hiring technical people who don't understand RevOps. Matt's warning: "If I can automate it away, what the hell do I need a BDR for?"

2. Speed of Experimentation as Competitive Advantage
US companies pilot new technology in weeks with clear success criteria. New Zealand companies spend the same time considering building it themselves. The best organisations run constant experiments because traditional playbooks are obsolete. Alex observes companies taking 6 months to evaluate a $3k pilot while US counterparts run five pilots in that timeframe.

3. What Sales Leaders Are Obsessing Over
CROs worry about AI competitors leapfrogging their products and data quality (note: rubbish data produces rubbish AI output). Smart leaders build information architecture where any rep can query everything about a company instantly. The new mandate: double revenue while increasing headcount by only 10%. Matt identifies winners as those who "listen to more signals than everybody, make sense of it, and then respond to it."

4. The Evolving Salesperson: Domain Expertise as Currency
Salespeople face well-informed buyers already at the desire stage. What's timeless: understanding customer business deeply, diagnosing problems through storytelling, and self-management. What's changing: your real network (not LinkedIn) becomes critical currency for warm introductions. Tools like Connect the Dots will soon let CROs map rep networks and assign territories accordingly. Matt's advice: "Pick a domain... stick in that lane."

5. The Transformed Sales Manager: From Super Rep to System Operator
Managers must shift from inspecting deals to architecting systems. AI handles pipeline risk and next steps while human leaders focus on inspiration, coaching and soft skills. Smaller companies already skip hiring managers because AI does the functional work.

6. Separating AI Hype from Reality
Four myths: AI replaces all sales reps (only transactional), plug-and-play AI works (needs clean data), AI makes average reps great (actually "makes great reps lethal and bad reps obvious"), and AI solves forecasting (requires pipeline discipline). Biggest mistake: spending $750k building what costs $50k off-the-shelf.

7. Practical Plays for Kiwi Companies
Map your revenue flow, identify the biggest constraint, then apply AI specifically there. Build communities of practice with peers one stage ahead. Ask AI to write prompts for you, then use those refined prompts for better results. Pick tools that get smarter with your data over time.

Key takeaways:

  • Redesign around workflows, not roles: adopt the three-layer model with go-to-market engineers bridging technical and RevOps expertise

  • Experiment in weeks, not months: run 30-90 day pilots with clear metrics; speed of learning is competitive advantage

  • Build your network intentionally: trade introductions freely like Americans do; real relationships trump LinkedIn connections

  • Treat AI as an always-on colleague: ask it questions constantly; AI-native fluency is table stakes for every team member

  • Focus on domain expertise over product knowledge: become an advisor who understands their business and sees trends

  • Start with constraints, not experiments: identify your biggest bottleneck, apply AI there, and demand measurable ROI from vendors.

Watch the full discussion for detailed examples, technical recommendations and Q&A about voice agents, automation and staying current in a rapidly evolving landscape

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