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"Softwareengineers working in AI earned 48% more than the average softwareengineer 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. But it has created a two-tiered comp system for engineers.
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.
Per Google: According to most industry experts, the top event for SaaS software is considered to be SaaStr Annua l ; it is widely recognized as the largest gathering for the global SaaS community, attracting thousands of founders, executives, and investors from across the industry.
There are roughly 27m software developers in the world. Those 18,000 active engineers have created $2 trillion in market cap across the top 100 projects - $112m of value per person. With such massive potential impact, why are there so few engineers working on web3? Crypto is young.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
In this new session, Ben will share how he and his team engineered a system (based on proven softwareengineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.
Measuring engineering productivity is a Gordian knot. How does a manager measure the performance of an engineer? LinkedIn selected three metrics for most engineers & they all revolve around speed. Lines of code or number of commits focus on components of the engineering process. Great code is succinct & clear.
When products and services fail, customers can’t buy online or use their software, they churn, and the company suffers brand damage. Too much downtime can trigger clauses in software contracts for service level agreements (SLAs), which start cancellation conversations. Just how effective is chaos engineering?
The patois of data teams has become a dialect of modern engineering teams because the commonalities in the stack. Data teams receive tickets from their internal customers & develop data products that serve both internal & external users, much like a classic product management & engineering team.
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.
At the same time they, and their engineering teams, are struggling to adapt to work in new all remote ways. Luckily, the culture of DevOps and the practice of Continuous Delivery supports product managers and their teams as modern software development evolves at a rapid pace.
But we all know enterprise software. 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 bit counterintuitive at first — isn’t AI replacing people?
This gets more challenging when you have stakeholders who aren’t the ones buying the software. There was no software yet. 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. It was on the customer’s account.
He summarized the M&A (acquisitions) of The Top 10 Software Acquirers. The Top 10 Software acquirors’ M&A activity is down -90% or more from 2021. 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. A record low.
AI in B2B SaaS: The Incumbent Advantage On the AI revolution in B2B software, it’s the age-old ‘startups are innovating and racing to get distribution, and the bigger companies have distribution and are racing to innovate.’ “We had the best board meeting we’ve ever had,” according to Brian.
By integrating front-end systems like online, mobile, and in-store payments with robust back-end infrastructure, you can deliver a seamless payments experience without the need for heavy engineering. Scale your software with an innovative, holistic approach to payments that fuels merchant success and growth.
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.
Activant Capital brought together at SaaStr Annua l a group of break-out next-generation AI enhanced vertical software leaders: the CEOs from Owner.com, Alloy Automation, and DoNotPay. At SaaStr Annual they shared their experiences and insights on implementing AI in vertical software companies.
Every week I’ll provide updates on the latest trends in cloud software companies. Starting and scaling a software company was really hard. If you, as a software company, got to a certain scale and brand awareness, it was really hard for others to catch you. Follow along to stay up to date! So what was the implication?
In this episode of PayFAQ: The Embedded Payments Podcast, host Ian Hillis welcomes Matt Downs, President of Worldpay for Platforms, to discuss software-led payments predictions for 2025 and beyond. remains the largest interchange and software market, Matt predicts a loosening of regulatory constraints.
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. It includes a breakdown of the Sales AI landscape, adoption of GenAI and Sales software across buyer groups.
Many mid-market software companies price with the goal of revenue maximization, negotiating for the highest possible price in each sale. There are exceptions: Oracle’s database, Tanium’s security product, Workday’s human capital management software. Application software companies typically sell seats.
Engineering teams within AI application startups are much smaller than a classic software company - maybe half the size or less. Let’s run an experiment : let’s assume every public software company benefits immediately to the same extent & cuts R&D spending by half.
Think of Net Promoter Score (NPS) software as a tool to measure your customers’ feelings about your product, and categorize them based on their level of loyalty (promoters, neutrals, and detractors). Also, the ability to publish testimonials from survey responses makes it a good engine for collecting social proof for your business.
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.
GitHub, founded in 2008, is a leading platform for software development and version control that has made waves since 2018 with its AI Copilot. Historically, the burden of customer feedback fell on the solutions engineers and CS architects. Be disciplined about prioritizing that feedback and communication.
The average churn rate for the software industry as a whole is 14%. As a SaaS business leader, reducing software user churn is an important part of maintaining your customer base and increasing revenue. TL;DR The average software industry churn rate is 14%, but SaaS companies should aim for under 2%. Looking to measure churn?
For high-consideration purchases, “long copy sells” – Despite our short attention span world, buyers of enterprise software will read your 12-page white paper and attend hour-long demos if they provide valuable information. The “five-five” CMO who excels at everything is a unicorn. It’s messy.
In the sphere of softwareengineering , AI is pivotal for corporate IT by automating coding, optimizing algorithms, and enhancing security to boost efficiency and minimize downtime. By automating routine and complex tasks alike, AI allows engineers to focus on innovation and strategic tasks.
There is a mega-trend underpinning the changes in data design philosophy and tooling: the rise of the data engineer. Data engineers are the people who move, shape, and transform data from the source to the tools that extract insight. We believe data engineers are the change agents in a decade-long process that will revolutionize data.
60B+ in Payments Processed Annually: FinTech as a Revenue Driver ServiceTitan processes over $60B in payments annually, and while software remains their primary revenue driver, payments are a critical growth vector. But remember, this requires significant investment in product depth and breadth.
Models built by OpenAI, Google, and Anthropic have billions of dollars to invest in training these models, so you have more powerful engines under the hood at no cost to you. Software will move from helping humans be more productive to doing things for them entirely. There are multiple, so you have a choice and can choose between them.
So while AI for coding and softwareengineering has seen some of the most explosive start-ups, from Codeium to Loveable to Poolside to Claude and OpenAi’s own releases here and more, just as big if quieter has been the change to contact center and support.
If your digital sales engineer joins the Zoom and gets product questions 95%+ right … that’s better than 95% of AEs and SDRs 5. The Software Layer Around It Probably Is, However. Look at Assistant UI and other frameworks – your engineers can implement this in a week. This will utterly change how we do sales.
APIs allow software systems to talk to each other. Automated decision engines assess risk for loans, merchant approvals, or insurance in real timeno manual reviews needed. Risk Scoring Engine Translation: Your financial sixth sense. SDK (Software Development Kit) Translation: The IKEA kit for building finance features.
Customer Expectations Are Skyrocketing : AI has raised the bar for what customers expect from software. Pricing Pressure : AI is driving down the cost of certain types of software, especially those that rely heavily on manual processes or human intervention. They want everything to be faster, smarter, and more automated.
Sales development, content marketing, & softwareengineering strike me as the workstreams that will benefit immediately. Engineering 25% 40% 10% Overall - - 13% See assumptions here 1 This thought experiment highlights a few ideas to validate : AI initiatives focused on cost-reduction should start with engineering.
Many CEOs of software-enabled businesses call us with a similar concern: Are we getting the right results from our software team? We hear them explain that their current software development is expensive, deliveries are rarely on time, and random bugs appear. It’s written for a business leader, not an engineer.
It was terrible software and too expensive. If you’re bleeding customers and fighting for retention, here’s how you can engineer your own resurrection. Support tickets disappeared into the void. Even worse, social media changed and the product barely worked now. Then they raised prices.
The median startup with between 1-5M in ARR will have 12 engineers, 6 in sales and 3 in marketing. As the company grows and reaches 50-100M in ARR, the ratio of engineers to salespeople asymptotes to 1:1, down from 2:1. In the earliest days, leads head all of these teams.
By breaking down large codebases into smaller pieces, microservices empower engineers to ship code faster. Continuous integration, the process of constantly folding new code into production (live on the website or service), further accelerates the software velocity. There’s a cost to this speed: coordination.
Quality Assurance is truly about the automation of certain parts of software testing. The automation of QA is a secular trend that perhaps accelerated with more softwareengineers working from home. Life insurance and emergency medicine certainly fit the COVID-19 narrative.
or bright line between CTO and VPE, I’d suggest a start-up CTO really only has to do a few things — which are very hard: Assemble a small team (3–9) of very good engineers. A bad CTO is an OK engineer him or herself but can’t get 3 other great engineers to join him/her. To ship truly enterprise-grade software.
Softwareengineering teams have been early adopters of AI coding assistants precisely because they provide an immediate, measurable lift. This is exactly backward. The winning approach: Start with employee-facing tools that deliver measurable productivity gains.
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