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"Software engineers working in AI earned 48% more than the average software engineer at the company, according to a payroll spreadsheet shared with BI." In general, I find most start-ups want to keep engineering comp fairly flat. In general, I find most start-ups want to keep engineering comp fairly flat.
In a recent SaaStr Workshop Wednesday , Komodor CRO Jim Hunnewell who also previously led sales at companies like GitHub, shared his first-hand experience and insights for successfully selling to engineering teams. Engineering Directors : Often your champion and key influencer who can take you to the final approver.
Selling to developers and engineers isn’t like selling to any other buyer. ” The Fix : For technical products with technical buyers, hire sales leaders with engineering backgrounds. They’re skeptical of salespeople, they value technical depth over flashy demos, and they can smell BS from a mile away.
As the co-founder and CEO of Intellimize (acquired by Webflow), Guy brings a unique perspective from his journey through iconic companies like Microsoft, Yahoo, and Twitter, as well as his background in aerospace engineering. And then originally trained as an aerospace engineer. Jin, my co-founder, was an engineering leader.
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0
But be realistic, take your time, experiment, tune the engine. So that’s something to get better at, and build on. I would be cautious today. No one needs to be sending more spam. And let’s run this survey in another 9-12 months. And see if the numbers go up.
Engineering resources: With thousands of engineers, companies like HubSpot can make substantial AI investments when they choose to 3. Proprietary data access: “We’ve got the zoom data, the calling data, the email data…If you’re a startup breaking in and you want to do some amazing AI work, it’s tricky.”
You may think competition matters, but a great head of engineering and product will outpace the competition. Our head of product, head of engineering, like pretty much everybody in leadership. A bunch of them we hired out of business school, or out of engineering school, and came up through our farm system.”
The Multi-Product Growth Engine: Why “Say No to 95%” Doesn’t Work at Enterprise Scale Most SaaS advice tells founders to focus ruthlessly and say no to 95% of requests. Today, when any customer has a problem, engineers still drop everything to help resolve it. What you want today isn’t going to happen today.
This guide outlines when it makes sense to outsource quality assurance (QA), the risks to watch for, and how to scale testing without increasing headcount or slowing down engineering. You will learn how leading teams are leveraging external QA partners to expand coverage, enhance defect detection, and remain aligned with CI/CD timelines.
Product innovation can reignite growth engines even at massive scale. They engineer business models that deliver both. Market category expansion (AI workloads driving new use cases) The SaaStr Takeaway: Don’t accept linear growth deceleration as inevitable.
scale is still a stong growth engine. Bottom Line : These 10 metrics show how world-class SaaS companies evolve from growth engines to profit machines while maintaining market leadership. The math gets harder when your base gets bigger, but 106% NRR at $2.6B
” Despite his engineering background, Sekar helped Meraki build a scalable go-to-market engine for their wireless networking products. At both Meraki and Samsara, they launched their second and third products within 1-2 years of their first, deliberately allocating engineering resources away from their successful core offerings.
In software engineering, Github’s pull requests or Linear tickets serve this purpose. Very productive AI software engineers manage 10-15 agents by specifying 10-15 tasks in detail, sending them to an AI, waiting until completion & then reviewing the work.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward. There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data.
In addition to flipping comp plans from bookings to revenue, Lindsey also implemented a process step for Checkr’s presales team, and solutions engineers to sign off on product commitments in a deal before it closes. Implementing tighter feedback loops between customers and product/engineering teams.
Hire those extra engineers. But then a time comes at $1m, $2m, $4m ARR when you have to let it go. You have to pay folks market. You have to hire those extra few reps that we don’t really have leads for today. Do that extra trade show. It’s OK … it resolves itself over time.
And a true engine of growth. #9. Is you new customer count growing > 20%? Palantir is doing far better, at +41%. #8. NRR of 114% I would have expected even higher given the huge deal sizes, but no matter, still top tier at scale. Palantir is doing scores of bootcamps, in person, to show them how.
46,771 Views: “From Burn-Out to $100M in ARR with Jason Cohen, Founder of WP Engine” #6. Note I did take out a few that would have made the list but were a bit dated etc: #1, 279,000 Views: “How To Perfectly Pitch Your Seed Stage Startup With Y Combinator’s Michael Seibel: Ycombinator is pretty popular #2.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products! There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.
With a trillion in payment volume coming through BILL in the last five years, managing the payment and compliance engine has required an ongoing effort of a sizable team. This fundamental technology will be even more integrated into all of BILL’s platforms, customer service touchpoints, and engineering.
. #4: 10 Simple Steps to Improve The Odds You Get VC Funded #5: Pitchbook: 30 VC Firms Raised 75% of All the VC Capital in 2024 Top Videos and Pods: #1: What It Really Takes to Sell To Developers and Engineers with Komodor CRO Jim Hunnewell #2: How to Think About Product-Led Growth, Bootstrapping vs VC, and Early Exits with Jason Lemkin #3: From (..)
Well that must have gone well as Salesforce is now hiring 2,000 (!) in sales to sell AI. Per The Information , Benioff has also instructed his sales team to go all-in and put AI and Agentforce into every deal possible.
It’s a good set of people that can work together and be multidisciplinary – software, engineering, product management, strategy – a cohesive group.” .” The Numbers Behind the Discipline: 2008 : $4M Series A from Emergence Capital (300x return, reportedly returned entire fund 7x over) 2012 : $18.8M Why a dozen?
Speaker: Jim Morris, Founder, Product Discovery Group
Why you should be involving engineers at every stage of the Cycle. During this presentation, attendees will hear case studies, examples, and best practices gleaned from Jim's 25 years of using the Product Discovery Cycle. In this webinar he will discuss: Data interpretation and numerical goal setting.
What It Really Takes to Sell To Developers and Engineers with Komodor CRO Jim Hunnewell #3. Fixable Churn: You Have to Attack Both Top Videos and Podcasts: #1. 5 Things That Are Working and 5 Things That Arent in B2B SaaS AI with Ironclad’s CEO and a16z #2.
The speakers included Mario Rodriguez, Chief Product Officer at GitHub at GitHub, Diego Zaks, VP of Design at Ramp, Dane Knecht, SVP of Emerging Technologies at Cloudflare, and Vincent van der Meulen, Design Engineer at Figma, and Dani Grant, CEO at Jam.dev. His time at Figma actually started outside of Figma, as a fan.
Turn Your Customers Into Your Marketing Engine The second breakthrough was making customer success the core growth engine. The learning: When you solve a genuinely hard problem, you get three moats for free: Technical advantage through innovation Legal protection through patents Thought leadership in the space 2.
221,000 Total Paying Customers, But 65% of Revenue From 3,200 Large Customers This is what you should see when a “long tail” engine is just working at scale. Wall Street wants revenue that is durable. 5 Interesting Learnings: #1. Just don’t neglect the small ones.
Speaker: Bob Webber, VP Product Flow Optimization, Construx
This webinar is for engineering and product leaders who are struggling to find an innovation strategy that works. There's a lot of innovation advice out there, but very few companies are recognized for their innovation. Despite the importance of new product development, more than half of all product launches and innovations fail.
You should find, hire, and manage the VPs of Sales, Marketing, Customer Success, Product and Engineering and even Finance yourself. I think $1.5m ARR is too early for an experienced COO in 95 cases out of 100 — unless it’s a total rocketship and you plan to be at $10m+ ARR within 12 months. ARR you should still be the COO.
Give that VP of Sales / Marketing / Engineering more time. But … but … 9 times out of 10, there’s another customer that also will want that exact same feature. So instead of saying No, ask yourself if others would also value it. And then just charge more for it. It does take time to turn the ship. More time, the bigger the ship.
But once you hit scale, the mindset shifts to building a sustainable, repeatable growth engine. From Survival to Scale In the startup phase, it’s all about survival—getting to product-market fit, landing those first customers, and staying alive. It’s about thinking long-term and making decisions that will pay off years down the line.
Over-Engineered Early Hiring and Created “Unicorn” Roles In their early days, Vanta convinced themselves they were so special that standard SaaS roles didn’t apply to them. When they finally raised their $50M Series A from Sequoia in 2021, it was on their terms. 5 Things Vanta Got Wrong 1.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance. . 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Prior to Datadog, Alex held leadership positions at several high-growth SaaS companies and has a proven track record of building marketing engines that deliver consistent, measurable growth. He spent over eight years scaling their marketing from zero to supporting a multi-billion dollar public company.
The Atlassian engine just keeps on running. By customer count, the smallest ones still make up 85% of all Atlassian customers. #9. Rolling Out More Premium Versions of Its Products To drive up deal sizes, they’re charging more for newer editions with more. Even at almost $5 Billion in ARR. Pretty impressive. Pretty, pretty impressive.
Developer Experience Wins: When developers love using your product, word-of-mouth becomes your primary growth engine. Platform Strategy: Don’t just solve one problembecome the platform where developers solve all related problems.
⚡ At Buffer, we’re committed to full transparency — which means building in public and sharing how our engineers work. User experience deteriorates, negative reviews start coming in, customer advocacy starts dealing with requests, multiple engineers start digging into the issue, and it quickly becomes all hands on deck.
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
Palantir’s Forward Deployed Engineers Palantir basically invented the “Forward Deployed Engineer” model. Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. These aren’t just engineers. Forward deployed engineers and solutions engineers.
Figma’s product is its primary marketing engine. The data also shows Figma’s Research & Development spend nearly equals Sales & Marketing spend. This is the PLG model at its best. Its collaborative nature fosters viral, bottoms-up adoption, leading to a best-in-class sales efficiency of 1.0.
This reveals Figma’s powerful bottoms-up sales motion—individual users and small teams naturally expand into enterprise-wide deployments, creating a predictable and low-cost customer acquisition engine.
The Team Reality Check: Your Biggest Blind Spot Here’s the uncomfortable truth most SaaS leaders won’t admit: your current engineering team may not be equipped for AI transformation. Industry observers like Josh Bersin remain skeptical about replicating complex systems like Workday’s payroll and compliance frameworks.
For this model to work, your product has to be genuinely desirable to the users you want to engage as the company's engine of growth. Participants in this webinar will learn: A framing model of the key decisions that give a product a chance to succeed and fuel the engine of growth.
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