The GTM Engineer Pulse | #12
GPT5.2 launches, Clay reaches $100M ARR, LOTS of hot takes like "why content should be treated as a product", Ramp shutting down AI SDRs function, outbound playbooks for 2026, and much more!
Welcome to the 12th edition of The GTM Engineer Pulse, your weekly briefing on the latest in GTM engineering, AI, and revenue systems.
This week, we dive into the launch of GPT5.2, Clay reacheing $100M ARR, LOTS of hot takes like “why content should be treated as a product”, Ramp shutting down AI SDRs function, outbound playbooks for 2026, and much more!
Recent News
GPT-5.2 just dropped and it’s built for serious GTM work. OpenAI’s newest model sets a new benchmark across economically valuable tasks, outperforming industry professionals at spreadsheet creation, presentations, and multi-step projects. It beats or ties top experts on 70.9% of knowledge work tasks at >11x the speed and <1% the cost. For GTM Engineers building complex workflows, this is a major unlock for proposal generation, data modeling, and agentic coding. Or maybe another eyebrows raiser like 5.1? Let me know in the comments.
Clay just hit $100M ARR after 8 years of building. Varun Anand shared the 6 biggest GTM bets that got them there: reverse demos, irrational brand investment, usage-based pricing, agency-driven UGC on LinkedIn, unconventional hiring (farmers, archaeologists, magicians), and creating the GTM Engineering career path. The kicker: they’ve never churned an enterprise customer and have >200% NRR. Proof that building authentically, slowly, compounds into something massive. Big up for Clay to lay the foundations of the GTM Engineering movement we’re all part of!
The Signal is hosting a free AI x GTM Summit on December 17. Brendan Short is bringing together bleeding-edge operators to share 6 tactical AI use cases you can implement this month. Topics include agentic GTM infrastructure, deploying agents into systems, AI-generated outbound copy, and automating signals for your specific market. Tool-agnostic, operator-led, with recordings sent to all registrants. Secure your spot.
Profound just launched Workflows to fight AI slop at scale. Co-founder James Cadwallader announced that Profound Workflows is now in public beta for enterprise customers. The thesis: context is the antidote to generic AI content. By feeding models original data and insights, marketers can create quality output instead of slop. The platform surfaces research and insights, then transforms them into marketing via automated workflows. Beyond content creation, it handles research, reporting, and integrates across your stack. Another workflow builder on the map — knock yourself out!
GTM Engineer is officially a mainstream career now. LinkedIn News featured our previously GTME School instructor Patrick Spychalski from The Kiln explaining how a role that didn’t exist two years ago is now shaping how companies use AI. The key insight: you don’t need a coding degree to succeed. “All of the great go-to-market engineers that I know became great out of pure curiosity,” Patrick says. The role blends creativity, problem-solving, and a passion for learning. Proof that adaptability and curiosity matter as much as technical skills in the AI era. Watch the video.
LinkedIn Hot Takes
Ramp shut down their AI SDR after 5 years. Gene Lee explains that their automated outbound program once generated 30% of all pipeline, but the return plateaued as competitors gained access to similar tools and data. The new edge: owning higher-quality data than others, enabling 500 GTM reps with AI instead of replacing them, and investing engineering talent in hard problems like group selling, multi-channel experimentation, and CRM foundations.
AI SDR replacements are failing. Enablement is winning. To respond on the above, Linda Lian reports that a dozen Common Room customers turned off internal AI SDR builds in the last 6 months. One enterprise generated zero meetings after firing their SDR team. The pattern: orgs rushed to replace sellers with AI when they should have enabled them. CFOs are now asking whether GTM engineering investment actually fills pipelines, and often the answer is no.
Clay Sent Him a Gift. Here’s Why It Matters. Alex Baldovin, Clay Club lead in Bucharest, reflects on receiving a package from Clay that had nothing to do with upselling, upgrades, or testimonials. His point: the SaaS industry has optimized everything except treating people like people. That package on his desk is a reminder that some companies still care about the humans behind the accounts.
Stop calling AI tools “wrappers” like it’s an insult. Nalin Krishnan from Octave argues there’s a massive gap between what’s possible in a chatbot and actually operationalizing it within an org. Cursor hit $100M ARR in 12 months by building structure around the LLM to match the market. The competitive landscape won’t collapse into an AI monopoly because users are evolving faster than ever, and vendors need to keep shipping features and messaging at the same pace.
In an AI-saturated world, taste is a moat. Brendan Short makes the case that attention is the scarcest resource, and LinkedIn is the most powerful place in B2B to earn it. The noise from AI-generated slop makes authentic voices more valuable, not less. Founders winning on LinkedIn have a strong POV, specificity, and lived experience. The goal isn’t to become an influencer. It’s to become the trusted voice on a topic.
Clay’s $100M milestone changes the GTM tech conversation. Adam Schoenfeld notes that every GTM vendor pitch is now met with “can’t we build this in Clay?” He’s watching three things: how ZoomInfo responds to Clay’s orchestration model, whether Clay can expand beyond enrichment into sequencing and signals, and whether AI agents eventually replace GTM Engineers or work alongside them.
Let AI own cold email. Let SDRs own cold calls. Josh Braun argues cold email is now a computational sport where AI writes faster, tests faster, and personalizes deeper without getting tired or emotional. Cold calling remains human territory: tone, timing, curiosity, and reading emotion. The split: AI for scale and pattern recognition, humans for conversations and navigating uncertainty.
Looking to land your next role — or hiring GTMEs?
We’re actively vetting top GTM Engineers for our private network. If you’re looking for your next role — or are hiring GTMEs — check out gtm-engineer-jobs.com. We can put you in touch with hiring managers or get you qualified applicants.
GTME Jobs
GTM AI Engineer @ Fullbay ($115,000 - $140,000, Phoenix, AZ). Fullbay is hiring a GTM AI Engineer to accelerate how their Marketing, Sales, and Customer Success teams leverage AI and automation. You will act as internal AI consultant, architect, and builder, designing intelligent workflows that streamline the customer journey from lead generation to renewal for their commercial repair shop software.
GTM Engineer @ Cortex ($125,000 - $150,000, Remote US). Cortex is looking for a GTM Engineer to be the technical engine behind their pipeline. You will work across Marketing, BDR, and GTM Ops teams, building and iterating on systems that deliver high-quality pipeline fast. Part-operator, part-developer, all-in on turning data into actual pipeline for their AI-powered Internal Developer Portal.
GTM Engineer (GTM Ops) @ Clay (New York, NY). Clay is hiring a GTM Engineer to join their GTM Ops team. A chance to build revenue engines using AI and automation at the company that coined the GTM Engineer role and just hit $100M ARR.
GTM Engineer @ AirOps (Remote). AirOps is hiring a GTM Engineer to build AI-powered workflows for their content and SEO automation platform. Join the team behind one of the leading AI Search builders in the GTM space.
Automated Growth Associate @ Rippling (Remote, US/Canada). Rippling is hiring a growth associate to support their automation, intent signals, and experimentation roadmap. You will own their referral program, run hacky experiments, and contribute across SEO, LLM optimization, and automated email. A strong entry point into GTM Engineering at a $13.4B company.
Technical Marketing Engineer, Agents @ Glean ($160,000 - $250,000, San Francisco/Palo Alto/NYC). Glean is looking for a Technical Marketing Engineer to help technical teams build agents that automate real work processes. You will master agent building, understand architectural best practices, and translate those to the broader customer base. A hybrid role at the $3B+ Work AI platform.
GTM Engineer @ Pump ($80,000 - $120,000, San Francisco). Pump is hiring a scrappy GTM Engineer to supercharge their outbound motion. Deep familiarity with Clay is a must. You will build tools, scripts, and automations that improve how they find and convert customers for their AWS cost optimization platform. On-site, 5 days a week.
GTM Systems Engineer @ Ceros (Remote). Ceros is hiring a GTM Systems Engineer to join their Revenue Operations team and build the next generation of automated, AI-powered workflows across their go-to-market systems. You will partner with Sales, Marketing, and Customer Success to build tooling and design automated workflows for their no-code content creation platform.
Want to confidently apply to the job above but you feel you need to build the proper skillset first? Learn GTM Engineering from the teams building Octave, Clay, AirOps, and Cargo — sign up for cohort 3 waitlist (early ‘26 dates TBC)! 150+ people are already on the waitlist, but no more than 100 people will actually get a seat. Don’t wait on it.
Top GTMEs to Follow
Alex Baldovin. Alex leads the Clay Club in Bucharest and advises B2B companies on cold email and lead generation. With 10+ years in software sales and deep expertise across industries from retail to fintech, he shares practical insights on building outbound systems that actually work. Follow him for real-world GTM engineering from Eastern Europe’s growing tech scene.
Jason Gong. Jason runs GTM at GrowthX, the AI-first growth studio behind brands like Ramp, Lovable, and Metronome. A former YC founder who worked on AI when people still called it machine learning, he shares frameworks for scaling content and growth with AI workflows. Follow him for the intersection of AI, growth, and systematic execution.
Josh Spilker. Josh leads Content and SEO at AirOps, where he helps marketing teams adapt to AI search. Former content lead at ClickUp and Toptal, he hosts the Growth Leader Webinar Series featuring SEO leaders like Kevin Indig and Eli Schwartz. Follow him for insights on AI workflows, AEO, and how content teams are scaling with less.
Maxence de Villepion. Maxence is co-founder of Cargo, the YC-backed platform for revenue architecture. A self-described T-shaped marketer, he has built intent strategies featured by UserGems and Lonescale, covering champion tracking, new hire triggers, and job offer signals. Follow him for advanced signal-based GTM and revenue operations.
Nalin Krishnan. Nalin is a GTM Engineer at Octave, the messaging platform for go-to-market teams. He focuses on helping businesses reach future customers with value, clarity, and relevance at scale. Follow him for hands-on perspectives on messaging automation and GTM engineering from inside one of the key tools in the space.
Recommended Resources
Five Timeless Marketing Principles in the Age of AI Slop. Dave Gerhardt, founder of Exit Five and former CMO, cuts through the AI noise with a reminder that people only care about themselves. His five principles that never change: make me look good, save me time, make me money, help me avoid pain, and help me reach the next level. A grounding post for anyone drowning in tool hype.
Why Signals Are Overhyped (And How to Use Them Right). Dan Rosenthal, Co-Founder of Workflows.io, argues that most companies are using signals wrong. His preferred approach: CRM aggregation that enriches, scores, and routes signals as custom events in HubSpot so reps never leave the CRM. The key insight: a newly hired champion who has visited your pricing page 50 times beats a tier 1 decision maker liking your LinkedIn post.
Company Strategy vs Product Strategy: Planning for 2026. Brian Balfour, Founder and CEO of Reforge, shares his strategic planning framework as he finalizes 2026 bets. After many companies went all-in on PMF Expansion in 2025 to capture AI opportunities, the question now is whether to consolidate or keep expanding. His guiding principle from Shaun Clowes: find the insight that others are not acting on.
An Outbound Playbook for 2025. Fivos Aresti, Co-Founder of Workflows.io, shares the exact playbook powering their path from $1M to $2M ARR. The four pillars: cold calling, automated email sequences, signal-based LinkedIn campaigns, and manual prospecting for tier 1 accounts. Their best performing play at 25% reply rate: LinkedIn connections of founders, proving that the most effective signals are ones you create from your own marketing efforts.
Your Content Isn’t an Ad. It’s a Product. Marcel Santilli and Jason Gong from GrowthX argue that teams who win at content treat every piece like a product, not a one-shot campaign. The shift: build systems that improve over time, with someone who owns the quality bar. They share how one editor built a self-improving Claude artifact by asking it to write its own onboarding guide and editing checklist. Become a member of their community for this and more top-notch content.
He’s Read 100+ Marketing Books and Only These 9 Are Worth Your Time. Tom Orbach shares his curated shelf of marketing essentials, from Seth Godin’s “smallest viable audience” to Cialdini’s six psychological principles. Standout insight from Magic Words: adding “er” to words turns actions into identities. Don’t ask someone to help. Ask them to be a helper.
12 Plays for the Holidays: Your Daily Actions to Grow Traffic, Citations, and Revenue. AirOps launches a tactical 12-day series for marketers focused on AI search visibility. Each play includes a specific workflow: refreshing underperforming pages, targeting citation gaps, and finding untapped prompts where no brand is currently mentioned. Real results cited: Chime tripled AI search citations, Webflow saw 40% traffic lift from refreshed pages.
That’s all for this week’s edition. Stay tuned for more updates next week — there’ll be a lot so keep your eyes peeled! 😉😉😉
Keep shipping,
Matteo












Couldn't agree more; what if GPT-5.2's demonstrated capacity to outperform industry professionals at spreadsheet creation and multi-step projects doesn't just unlock new workflows, but fundamentally shifts how we conseptualize agentic coding and strategic data modeling in GTM engineering entirely?
Loved the roundup! That Ramp case study abt shutting down AI SDRs after 5 years really cut through the hype. When somethng goes from generating 30% of pipeline to hitting a plateau, that's the signal most teams ignore untill its way too late. Treating content as a product instead of campaign fluff makes way more sense when I think about the teams actually shipping value consistently.