article thumbnail

Microsoft Pays Its AI Engineers 48% More. What About You?

SaaStr

"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.

article thumbnail

What It Really Takes to Sell To Developers and Engineers with Komodor CRO Jim Hunnewell

SaaStr

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

10 Things Startups Get Wrong Selling to Developers and Engineers (from the CRO Who Scaled Databricks from

SaaStr

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.

Scale 261
article thumbnail

GTM 126: Reverse Engineering the Founder Journey: From Scaling Twitter Ads to $650M, 20 Years Operating, and a Webflow Acquisition | Guy Yalif

Sales Hacker

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.

Scale 102
article thumbnail

Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

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

article thumbnail

83% Percent of You Haven’t Gotten AI SDRs to Work … Yet

SaaStr

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.

AI 326
article thumbnail

HubSpot Co-Founder and Chairman Brian Halligan on SaaS Markets, Board Meetings, and AI’s Impact

SaaStr

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.”

AI 284
article thumbnail

Struggling to Scale Test Coverage Under Pressure?

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.

article thumbnail

Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

article thumbnail

Generative AI Deep Dive: Advancing from Proof of Concept to Production

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.

article thumbnail

The 5 Product Discovery Secrets Every PM Should Know

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.

article thumbnail

A PM's Guide to Building a Culture of Product Innovation

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.

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

article thumbnail

LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

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- (..)

article thumbnail

Fuel the Engine of Product Growth with an Impeccable Framing Model

Speaker: Scott Sehlhorst - President, Tyner Blain

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.