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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.
How do you reverse-engineer your first million as a SaaS startup founder? SaaStr founder and CEO Jason Lemkin chats with Sam Parr on the popular YouTube channel and podcast My First Million about what’s required to make it on the map for a $100M exit and then reverse engineers the steps to get there. 50 or $1.
Dear SaaStr: Why Are So Many CEOs Former Engineers, or At Least Have Technical Backgrounds? I’ve come to almost exclusively invest in founder-CEOs that are engineers. You need to recruit a great engineering team. You don’t need to be an engineer to do this, but most “salespeople” CEOs can’t pull this off.
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.
He has a broader audience than just B2B so it we touched on more topics that usual, and it was a great convo: Pricing in the early days Why you have to get to $300k+ in revenue per employee When to go multi-product Why your second product has to be bigger than your first How to double your pricing over time The challenge in low NRR models The One-and-Done (..)
At SaaStr AI Day, Siqi Chen, founder, and CEO of Runway , discussed his belief of why every role will become a prompt engineering role, along with some no-code AI tips showing how to build products without knowing how to code. Why Is Every Role a Prompt Engineering Role Runway is a next-generation finance platform.
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.
” 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.
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.
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.”
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.
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.
Dear SaaStr: How often will a sales engineer also wear a customer success hat in an early stage of an SaaS startup? The “traditional” role of a sales engineer is to support the sales team through the close of a deal. Pretty darn common. And as you scale, the role should likely end there. You’ve learned the issues and challenges.
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.
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 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.
. #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 (..)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
You can’t pay a great engineer in the Bay Area $60k a year forever. But first-time founders often don’t seem to truly model the real costs right. They assume the prior costs basis sort of “rolls forward” Turns out it doesn’t.
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- (..)
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.
Now, to some extent, the issues here have been masked by several factors: The VC engine continues, more or less, and has been re-energized by AI. The Top 10 Software acquirors’ M&A activity is down -90% or more from 2021. See above from Thomasz. Deals are fast and furious. Mostly this is actually anti-liquidity.
Historically, the burden of customer feedback fell on the solutions engineers and CS architects. Be nimble in your GTM strategy and pivot based on feedback created by functional feedback loops between customers, revenue, partners, engineering, product, and design. Be disciplined about prioritizing that feedback and communication.
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.
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.
For example, Owner.com operates with a notably flat structure, maintaining a ratio of one product manager to sixteen engineers. Engineers are empowered to make technical decisions and write their own product requirement documents, functioning essentially as “mini-founders” within the organization.
She should hire leaders for Sales, Marketing, Engineering, Product and Customer Success, or at least most of them. If growth is accelerating, especially. I still believe a CEO should “do it all” in terms of building a decent management team first before hiring a COO. Hiring a strong COO between Management Team 1.0 and Management 2.0
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.
Now, you still had to go out and hire engineers to build the product, build out the GTM team to build brand and distribution, etc. And now, engineering and distribution (go-to-market) constraints are greatly reduced with AI. Solutions like Cursor, Codeium, GitHub copilot, etc greatly democratized engineering.
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Prioritize engineering work by putting it in the context of end user experience. However, this increased velocity often comes at the cost of overall application performance or reliability.
Net net, if the average RevenueCat engineer is twice as efficient as before AI dev tools (and it’s not that simple. But they have competition and can’t rest on their laurels. They they are doubling down and hiring even more to keep these gains going.
A Cash Generating Engine Today, Expect to Generate $200m+ in Free Cash Flow This Year Freshworks has gotten lean, but even as it has done so, it has modestly re-accelerated growth in both revenue and net new customers. #10. It can handle a lot of routine issues, quickly. Beyond that, many are handing off to a human today. #9.
The Three Types of Context Your AI Needs Your AI agent needs access to: Team documents & engineering specs (the “how it works” knowledge) Systems of record like CRM (the structured data) Unstructured info from Slack, Zoom, etc. That’s the difference between a toy and a real product.
If your digital sales engineer joins the Zoom and gets product questions 95%+ right … that’s better than 95% of AEs and SDRs 5. Look at Assistant UI and other frameworks – your engineers can implement this in a week. This will utterly change how we do sales. Don’t wait to launch your AI for a year.
As an innovative concept, Developer Experience (DX) has gained significant attention in the tech industry, and emphasizes engineers’ efficiency and satisfaction during the product development process. Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.
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