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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.
” They’re digitizing their core business operations for the first time. Less Budget Being Routed to AI Initiatives (For Now) Tech companies are pouring massive budgets into AI initiatives – new models, AI infrastructure, prompt engineering teams. Non-tech industries? They’re not there yet.
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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.
” 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.”
” The Discovery : Companies didn’t just need payments—they needed payments plus compliance. The Result : After pivoting from “payments only” to “payments + compliance,” they onboarded their first 100 clients and raised Series A. ” The Business Impact : Response times increased.
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.
If you’re a SaaS founder, product leader, or engineer, you’ve probably stared down the barrel of a tangled payment integration wondering, “Why does something so essential feel so unnecessarily complicated?” More on that in a second.) Engineers Helping Engineers Got a question mid-integration? You’re not alone.
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The harsh reality: Most enterprises are adopting AI due to FOMO (Fear Of Missing Out) rather than for specific business outcomes. Software engineering teams have been early adopters of AI coding assistants precisely because they provide an immediate, measurable lift. This is exactly backward.
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For the very first time, we’re releasing Engineer Chats , an internal podcast here at Intercom about all things engineering. For the very first time, we’re releasing Engineer Chats , an internal podcast here at Intercom about all things engineering. It was hosted by Jamie Osler, a former Senior Product Engineer here.
Fortunately, PayFac-as-a-Service (PFaaS) exists to save you from the $1M+ upfront cost, 12+ months of setup time, and the headaches that come with managing payments, compliance, and risk. If you have a team of engineers who love APIs and long nights debugging code, Payrix might be a good fit. Eventually. Thats Stripe support.
And Raaz just shared live with us exactly how she built their marketing engine from zero marketing experience to hyper-growth success. The lesson : Don’t be afraid to break traditional org structures if it serves the business better. It ensures technical accuracy, brand compliance, and the right tone (humble, never arrogant).
The terms “website accessibility” and “ADA website compliance” are increasingly being bounced around in the online business world—there’s a good chance you’ve heard of it. But many people still don’t know what, exactly, ADA website compliance means—or how it can impact a business.
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You need GEO (Generative Engine Optimization) The Fix : Optimize for AI crawlers, invest heavily in G2 reviews, and ensure your content shows up in ChatGPT/Claude responses 4. Lead with integration capabilities and security compliance, not just business outcomes 5.
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The first is the clear demand from customers seeking security & compliance features. Most businesses transitioning will feel this component of the evolution. Enabling an engineering team to ship 1 more product this year with productivity gains is worth hundreds of thousands of dollars. Those motions target different buyers.
This pendulum oscillates between the limiting factors of the business at different stages. At the moment a startup is founded, the business is product limited. The product and engineering teams’ ability to quickly satisfy these demands limits progress. And the ball is passed back to product and engineering.
A-LIGN is a technology-enabled security and compliance partner that helps global organizations take a strategic approach to confidently mitigate cybersecurity risks. Mozart Data’s all-in-one modern data platform empowers anyone to easily centralize, organize, and analyze their data without engineering resources. Totally unified.
With an intuitive product experience, founders can access free checking and savings accounts, debit and credit cards, domestic and international wire transfers, treasury, venture debt, and more — and manage their business with confidence. Update your revenue data from anywhere, all within Slack or MS Teams.
They want to use AI to transform their business and how they and their employees work. Some of the biggest use cases for AI in the enterprise are across customer support, sales and marketing, and engineering — ie helping developers test code and troubleshoot issues. Compliance matters. Security matters.
Software companies are increasingly integrating payments as a core component of their business models rather than treating them as ancillary features. Takeaway #2: Inflation and surcharging compliance Ella highlighted the rising importance of surcharging as a response to inflation and escalating operational costs.
We are passionate about helping businesses and communities thrive by advancing the way the world pays, banks and invests, serving more than 20,000 clients and more than one million merchant locations in over 130 countries. Insight Assurance is a professional services firm providing cybersecurity compliance, risk management, and tax services.
Okta’s VP of Engineering, Monica Bajaj, and Senior Director of Platform Product Marketing, Priya Ramamurthi, share Okta’s playbook to PLG, developer experience, and Enterprise ARR. It meets the needs of their business and applications. It hurts badly if you touch it later, especially the compliance pieces. How do you do that?
At Intercom, we believe trust is at the core of every relationship between a business and its customers. This is the fifth post in a content series exploring Intercom’s investment in supporting large businesses. We supplement company-wide training with role-specific training for high risk groups like Customer Support and Engineering.
You just have to have a multi-product engine in most cases to keep growing. Professional Services is 12% of Revenue, Down from 17% a Few Years Ago Products like Workiva that entail a significant amount of business process change almost always require professional services. Majority of Customers Now Multi-Solution / Multi-Product.
Organic search is the single most important channel for growing your business, but the tech and tactics in the space are over two decades old. DuploCloud offers an end-to-end DevOps software platform for dev teams that don’t have dedicated DevOps engineers and augments those that do. Our mission is simple : We help others grow.
Most leaders wants to inject AI into their business to develop a competitive advantage. If PhDs in the domain are rushing to understand the capabilities reading papers every week, how are business leaders meant to grok the state of the art? There are four challenges. The first challenge is untderstanding the technology’s ability.
A payment facilitator manages compliance with payment network rules and other financial regulations. This includes verifying the identities of sub-merchants through Know Your Customer (KYC) checks, ensuring PCI compliance for secure handling of payment data , and mitigating risks through fraud or chargebacks.
Customer success at Braze was a big umbrella, with onboarding, CSM, tech support, sales engineering, and more under it. The first stage within the CSM department at Braze was hiring leaders to lead sales engineering. That team became the home of business intelligence and the data team. Side projects are not a recipe to scale.
He started as the first sales hire at TripActions when the company was small and he helped scale the business to 5,000 customers, 1,200 employees and a $5 billion private valuation. Create a Sales Engine. You need to be strategic about the architecture of your sales cycle, and for that, you should create a powerful sales engine.
Also, the larger the company, the more they care about enterprise-level trust, security, compliance, and privacy. That’s why we’ve achieved ISV security certification, GDPR compliance, and SOC 2 compliance.”. With the background of our team, as you might expect, we have loads of expertise in this area.
Gainsig ht works to help businesses build deep and lasting relationships with their customers through their very own Customer Success platform. This platform allows customer-centric businesses to deliver exceptional ex periences everyday. Conga eliminates the business bottlenecks through their Digital Document Transformation solutions.
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The GDPR attempts to standardize the way businesses handle people’s data, making users confident it’s in safe hands. We are taking a number of steps to ensure compliance with GDPR, but now is the time to consider the entirety of your security and data privacy strategy, both in terms of how you build it and how you communicate it.
There are enough stories of data breaches and cyber attacks to chill even the savviest security engineer to the core. Cyber security and compliance, it turns out, is in demand. An aerospace engineer turned entrepreneur, Adam learned early the best way to earn trust was proving you deserve it. It’s becoming the bare minimum.
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This is my current mental model of when to choose a large or small model : When to choose a large model : time to ship is critical : many of these models are available via API, requiring formatted data as an index or vector database - which an engineer can achieve within a few hours for a working beta.
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