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Overlooking the Unsung Heroes of Tech Startups

The Importance of Customer Success Engineers in Driving Business Growth
Kannan Kothandaraman
Selector.AI

Embarking on a new tech startup can be difficult, and is like constructing an aircraft while in flight. During the initial phases, the primary focus is on sales and marketing, while the essential individuals responsible for maintaining operations — the customer success engineers (CSEs) — are frequently overlooked.

The role of customer success engineers involves overseeing the implementation and deployment of a product, as well as providing guidance throughout the technical solution's implementation. Following a successful sale, they are tasked with designing the customer experience.

Unfortunately, customer success often takes a backseat in the rush for sales and revenue, despite their foundational support to the rest of the business. As a result, many companies have teams of skilled solutions engineers and CSEs but fail to provide the resources they need to be effective.

Today's customers have more options than ever, making it essential for tech companies to have a well-trained team to deliver successful products and solutions. However, many companies overlook the three critical components of an outstanding customer success team that set them apart from the competition in the long run.

It's time to recognize the essential role of customer success engineers in driving business growth and give them the resources they need to lead companies toward sustainable success.

Issues in the Customer Success Team Can Be an Indicator of Deeper Problems Elsewhere in the Company

In my experience, customer success engineers often bear the brunt of problems within a company that originates elsewhere. Poorly defined roles, misaligned expectations, and lack of visibility between product, sales, and marketing teams can all lead to issues that reach customers during implementation. To this end, having a clearly defined customer success strategy aligned with the goals, vision, and long-term strategy is essential for creating successful outcomes across the board.

The customer success team should be seen as a crucial player in any company's business strategy. Investing in and empowering these professionals can help create cross-functional alignment for smoother implementations and better customer experiences. In addition, when everyone is working together towards common objectives, it's easier to develop transparent processes that will help prevent costly errors.

The Technical Knowledge and Understanding of Value Propositions Is Essential for Customer Success Engineers

In the tech industry, a deep understanding of the product and its workings is paramount for customer success engineers. Proper education in the form of skills, certifications, and training is necessary to ensure they can get up to speed quickly.

On top of this technical background, teams must understand the value proposition of their product and its unique capabilities. Without truly comprehending how the solution stands out from the competition, customer success engineers may not be able to deliver exceptional results throughout the entire customer life cycle.

Every business should take the time and resources to equip their CSEs with what they need to succeed — technical knowledge and an understanding of value proposition — so that they can handle any customer challenge that comes their way.

Customer Success Teams Should Have Visibility of Other Business Departments and Create Channels for Honest Feedback

When customers are not satisfied with their experience, their first port of call is often their customer success manager. The manager then addresses the issues with the solutions engineers and customer success engineers. Unfortunately, the flow of information doesn't necessarily extend beyond this point, leaving other departments without valuable feedback on the product or service.

At the same time, it's crucial for customer success teams to have visibility into other areas of the business. They must also have open channels through which they can provide honest feedback without fear of judgment. This is especially relevant in subscription-based solutions where companies must make continual tweaks to ensure customers remain satisfied and renew each year. Thus, customer success teams should be seen as a barometer for how useful a product or update will be perceived by customers and provide strategic input throughout its development lifecycle.

Kannan Kothandaraman is Co-Founder and CEO of Selector.AI

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Overlooking the Unsung Heroes of Tech Startups

The Importance of Customer Success Engineers in Driving Business Growth
Kannan Kothandaraman
Selector.AI

Embarking on a new tech startup can be difficult, and is like constructing an aircraft while in flight. During the initial phases, the primary focus is on sales and marketing, while the essential individuals responsible for maintaining operations — the customer success engineers (CSEs) — are frequently overlooked.

The role of customer success engineers involves overseeing the implementation and deployment of a product, as well as providing guidance throughout the technical solution's implementation. Following a successful sale, they are tasked with designing the customer experience.

Unfortunately, customer success often takes a backseat in the rush for sales and revenue, despite their foundational support to the rest of the business. As a result, many companies have teams of skilled solutions engineers and CSEs but fail to provide the resources they need to be effective.

Today's customers have more options than ever, making it essential for tech companies to have a well-trained team to deliver successful products and solutions. However, many companies overlook the three critical components of an outstanding customer success team that set them apart from the competition in the long run.

It's time to recognize the essential role of customer success engineers in driving business growth and give them the resources they need to lead companies toward sustainable success.

Issues in the Customer Success Team Can Be an Indicator of Deeper Problems Elsewhere in the Company

In my experience, customer success engineers often bear the brunt of problems within a company that originates elsewhere. Poorly defined roles, misaligned expectations, and lack of visibility between product, sales, and marketing teams can all lead to issues that reach customers during implementation. To this end, having a clearly defined customer success strategy aligned with the goals, vision, and long-term strategy is essential for creating successful outcomes across the board.

The customer success team should be seen as a crucial player in any company's business strategy. Investing in and empowering these professionals can help create cross-functional alignment for smoother implementations and better customer experiences. In addition, when everyone is working together towards common objectives, it's easier to develop transparent processes that will help prevent costly errors.

The Technical Knowledge and Understanding of Value Propositions Is Essential for Customer Success Engineers

In the tech industry, a deep understanding of the product and its workings is paramount for customer success engineers. Proper education in the form of skills, certifications, and training is necessary to ensure they can get up to speed quickly.

On top of this technical background, teams must understand the value proposition of their product and its unique capabilities. Without truly comprehending how the solution stands out from the competition, customer success engineers may not be able to deliver exceptional results throughout the entire customer life cycle.

Every business should take the time and resources to equip their CSEs with what they need to succeed — technical knowledge and an understanding of value proposition — so that they can handle any customer challenge that comes their way.

Customer Success Teams Should Have Visibility of Other Business Departments and Create Channels for Honest Feedback

When customers are not satisfied with their experience, their first port of call is often their customer success manager. The manager then addresses the issues with the solutions engineers and customer success engineers. Unfortunately, the flow of information doesn't necessarily extend beyond this point, leaving other departments without valuable feedback on the product or service.

At the same time, it's crucial for customer success teams to have visibility into other areas of the business. They must also have open channels through which they can provide honest feedback without fear of judgment. This is especially relevant in subscription-based solutions where companies must make continual tweaks to ensure customers remain satisfied and renew each year. Thus, customer success teams should be seen as a barometer for how useful a product or update will be perceived by customers and provide strategic input throughout its development lifecycle.

Kannan Kothandaraman is Co-Founder and CEO of Selector.AI

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...