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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.
Key points about SaaStr Annual : Focus on SaaS: Primarily focused on all aspects of SaaS business including sales, marketing, product development, and customer success. The post The #1 Event for SaaS and Business Software: SaaStr Annual appeared first on SaaStr.
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.”
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.
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.
Customer Service Platforms Threat: Voice agents indistinguishable from humans handling phone-based jobs at a fraction of human cost Market size: $85 billion addressable market for business calls alone 3. Most honest assessments say yes. #4.
When Lindsey joined, she inherited an already built-out self-serve/PLG model for small businesses and a mid-market and enterprise sales, customer success, and post-sales team. ” The other thing Lindsey did was bring that revenue and focus into the entire cadence of running the business.
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.
In an ever changing world Product Managers are being pushed now, more than ever, to keep up with business and customer demands. At the same time they, and their engineering teams, are struggling to adapt to work in new all remote ways.
In 2006, BILL CEO and Founder René Lacerte set out to define a category around financial operations for small and midsize businesses (SMBs). ’ Bill is approaching half a million customers, so has a good pulse on small businesses. With SMBs, the smallest business is owner-operated. Needless to say, he succeeded. in revenue.
112,000 Views: “What’s New at WordPress with Matt Mullenweg, CEO of Automattic and Co-Founder of WordPress” #3, 79,000 Views: “A Step by Step Guide to Revenue Growth with Mark Roberge, Harvard Business School” #4. 46,771 Views: “From Burn-Out to $100M in ARR with Jason Cohen, Founder of WP Engine” #6.
It’s no longer about gut instinct—it’s about understanding the levers of your business and optimizing them for growth. But once you hit scale, the mindset shifts to building a sustainable, repeatable growth engine. Obsession with Metrics and Levers As you grow, you start thinking in terms of dashboards and metrics.
Next up is Jason Cohen, founder of $100m+ WP Engine. Two are currently Unicorns; three are still in business. That happened to us at Smart Bear and WP Engine with features and entire products. Doing too much at once We _still_ struggle with this at WP Engine, and it’s still a mistake. Here are my top ten mistakes.
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! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
You should find, hire, and manage the VPs of Sales, Marketing, Customer Success, Product and Engineering and even Finance yourself. At $8m, $10m, the operational side of the business may be so complex a COO makes sense. ARR you should still be the COO. We can all use a COO a bit earlier these days. A bit earlier.
” Despite his engineering background, Sekar helped Meraki build a scalable go-to-market engine for their wireless networking products. CAC Payback Period Predicts Success More Accurately Than Any Other Metric CAC payback period stands above all other SaaS metrics as the most holistic indicator of business health.
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.
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.”
Speaker: Hannah Chaplin - Product Marketing Principal & Steve Cheshire - Product Manager
Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. Leveraging product data to assess true business value and make informed decisions.
50% of Users on Business “Side”, 50% Technical An interesting breakdown across their core products. But as you go more upmarket, and more enterprise, the business users become critical stakeholders and users, too. The Atlassian engine just keeps on running. Yes, Atlassian’s roots are selling to developers.
Here’s what I see most often, the Top 6 Mistakes First Time SaaS Founders Make: Incomplete understanding of business model, and how it will scale. Hire those extra engineers. But they also make mistakes we tend not to make with experience. But then a time comes at $1m, $2m, $4m ARR when you have to let it go.
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. 15:41) Scaling Twitter’s ad business and managing hyper-growth. (26:54) So you are number one.
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.
Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
And how much that dramatically drives up the burn rate and cost of doing business. You can’t pay a great engineer in the Bay Area $60k a year forever. In my experience the one most founders get wrong is how much more employees cost post-initial traction and after your first round of VC financing. Dramatically.
Historically, the burden of customer feedback fell on the solutions engineers and CS architects. A New GTM Mental Model for AI Products That feedback told GitHub that people who weren’t using the GitHub platform still wanted to use Copilot for Business. Be disciplined about prioritizing that feedback and communication.
Owner.com has distinguished itself by consolidating dozens of point solutions into a single, integrated platform that helps small business owners compete effectively online. Her company specializes in API integration platforms that enable SaaS companies to launch integrations faster and automate complex business processes.
The Neon team engineered a new database architecture that offers speed, elastic scaling, and branching and forking. As Vivek Raghunathan, senior vice president of engineering at Snowflake, explained: “The vision here is that Snowflake Postgres will simplify how developers build, deploy and scale agents and apps.
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. But the payoff – as Datadog’s growth demonstrates – is marketing that drives significant, measurable business value.
Any disruption of service at this facility could harm our business… We currently intend to add a second data center facility in 2008, the primary purpose of which is to add capacity. 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.
” The Money Shift : AI has officially graduated from pilot programs to permanent budget line items in core IT and business units. One leader noted: “all the prompts have been tuned for OpenAI…changing models is now a task that can take a lot of engineering time.”
When it IPO’d, commercial customers were a tiny bit of their business. And a true engine of growth. #9. Up From Almost None in 2020 to 295 Today. Palantir is closing big, big deals and its roots are in government and defense. Fast forward to today, they are closing 300 of them. And revenue is up +55%.
They failed for two key reasons: Zero context about your specific business or product No ability to actually do anything beyond generate text The learning? The winners will be the ones who solve the “plumbing” of connecting AI to all your business systems. That’s the difference between a toy and a real product.
It is a company-wide evolution that has the potential to completely reshape your entire business & your customer relationships. Join us for a candid conversation with Barr as she shares how Monte Carlo transitioned from ARR to daily revenue as the core operating metric for the business.
The numbers validated this quickly: 2018: 100 apps, $1M tracked revenue 2020: Series A at $15M 2021: 6,000+ apps, $1B+ tracked revenue, Series B at $300M valuation SaaStr Fund’s bet wasn’t just on the founders or the technologyit was on the inevitable shift toward subscription-first mobile business models.
Tie these directly to their business goals. Adoption rate: How many engineers actively use the tool during the pilot? For example: If we hit these metrics, well be ready to roll this out across your entire engineering team, saving X hours per project and reducing errors by Y%. Get specific. If theyre vague, guide them.
Delivering great AI customer service depends on more than just sophisticated AI models – it relies on real-time data and access to business systems like CRMs, billing platforms, and past conversations. With MCP, businesses can integrate AI faster, scale it across more systems, and deliver better support with less effort.
If your engineering team, your product team, or your leadership team hasn’t shipped meaningful AI capabilities into production by now, that have led to a material increase in revenue — you don’t have a strategy problem. Because we’ve waited, and seen, and learned. ElevenLabs rocketing to $100m+ ARR powering voice for AI leaders.
Global Expansion : With customers spanning 135+ countries and continued international investment, HubSpot has successfully created a global business with significant growth opportunities (their TAM is $76B in 2024, growing to $128B by 2029, with <10% penetration across all products). Its not either / or. Or at least, it doesnt have to be.
Be consultative, solve problems, and help them achieve their business objectives. If they’re struggling with a feature or need something new, it’s your job to communicate that to the product and engineering teams. You need to connect with customers on a personal level, understand their goals, and align your efforts with their success.
It could be a VP of Product, Sales, or Engineeringsomeone who takes ownership of a big chunk of the business and cares almost as much as you do. He brought 20+ engineers with him, with outsized equity packages. If youre business-focused, hire a strong technical lead. Prioritize Great Early Hires.
Engineering teams within AI application startups are much smaller than a classic software company - maybe half the size or less. 1 How would the value of these businesses change? Let’s run an experiment : let’s assume every public software company benefits immediately to the same extent & cuts R&D spending by half.
A VP of Sales is there to scale whats already working, not to build the engine from scratch. Misaligned sales incentives can lead to churn, which kills enterprise SaaS businesses. But if you dont already have a repeatable sales process and at least two reps hitting quota, a VP of Sales will just burn cash trying to figure it out.
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