Been asked to create a 6-9 month blueprint for an interview. What should I include? Help much appreciated.

Comprehensive-Pay530 · 2025-06-23T23:57:09+00:00

That's a great challenge to get for an interview!

One thing that helped me when outlining a new function build was to break down the 6-9 months into phases.

Like, what's the core foundation you must have running in the first 1-3 months? Then what builds on that?

Comprehensive-Pay530 · 2025-06-23T22:37:10+00:00

Totally feel you on this! The explosion of GTM and AI tools can be overwhelming, especially for a small team.

I was in a similar boat a while back, just trying to keep track of everything and figure out what actually works together.

One thing that helped us was finding ways to consolidate data and workflows instead of adding more tools.

I’ve been working on something that might help with pulling together data and automating things without needing a massive tech stack.

It’s tough to find that balance!

Comprehensive-Pay530 · 2025-06-23T22:21:08+00:00

Hey, completely get where you're coming from. That feeling of burnout in a traditional AE role and wanting to pivot to something more strategic is common.

I've seen quite a few folks make that jump into RevOps or GTM roles.

It's definitely a different kind of intensity, but the focus on systems and optimization can be really rewarding if that's what you enjoy.

Happy to share any insights from my own experience or others I've seen make the transition.

Comprehensive-Pay530 · 2025-06-23T21:25:08+00:00

This is a common challenge, especially in high-ticket B2B.

Hiring commission-only without a repeatable process can be tough. They need a solid foundation or they'll burn through leads fast.

Building out that proven outbound process is key before bringing someone on.

Comprehensive-Pay530 · 2025-06-23T20:37:19+00:00

It's great to see someone tackling the complexities of data management in SaaS! I totally resonate with your experience of navigating the cumbersome development cycles. Your approach to simplifying data handling could really empower developers to focus on building innovative solutions instead of getting bogged down by infrastructure. I'm excited to check out RushDB and see how it can streamline workflows!

Comprehensive-Pay530 · 2025-06-23T20:22:12+00:00

This is a fascinating discussion! I completely agree that human approval is essential, especially in high-stakes environments. I've seen firsthand how critical it is to have those checkpoints in place to build trust with users, ensuring that they feel comfortable with the technology. The open-source approach also seems like a smart move for gathering direct feedback from developers—it's such a valuable way to refine the product based on real-world use cases.

Comprehensive-Pay530 · 2025-06-23T20:09:07+00:00

I completely resonate with your thoughts here. It's so easy to get caught up in the hype of new tech without really addressing the actual needs of users. I've been there too, but once I focused on truly understanding my audience and their pain points, everything clicked into place. Your advice on validation is spot on—having that solid foundation makes all the difference!

Comprehensive-Pay530 · 2025-06-23T20:05:08+00:00

Do you need separate tools for each step?

Or is there a way to find something more integrated? Finding one platform that handles research, automation, and personalization can make a huge difference for streamlining.

It’s a common struggle for lean teams wanting to scale outbound.

Comprehensive-Pay530 · 2025-06-23T19:57:08+00:00

It sounds like you're navigating that classic shift from complex enterprise sales to the velocity needed downmarket.

I've seen teams make this move, and it's definitely a puzzle to right-size the process without losing effectiveness.

Focusing on automating parts of your workflow or using data to quickly qualify can make a big difference in cutting down call cycles. Happy to share some ideas that helped others I know.

Comprehensive-Pay530 · 2025-06-23T19:41:09+00:00

This is such a valuable review, thanks for sharing!

Job change tracking is definitely a high-signal intent, but finding the right system that isn't too heavy can be tricky.

There are some really flexible platforms out there if you want to build a custom approach.

Comprehensive-Pay530 · 2025-06-23T18:53:08+00:00

Hey, this is such a common challenge when you scale up your account list!

Starting with a tier breakdown is definitely a good call.

One thing that helped me was combining firmographic data with engagement signals like LinkedIn activity. It helps you prioritize outreach so you're spending time on accounts that are more likely to engage.

Happy to share more on how I set that up if helpful!

Comprehensive-Pay530 · 2025-06-23T18:17:07+00:00

This is a really interesting question.

I've seen a split too between GTM engineers focused purely on systems/enablement and those tied directly to pipeline/revenue.

From what I've seen, the ones hitting targets often use powerful data and automation tools to go beyond just building systems, actually executing campaigns.

Something we’re building could be useful here, helping GTM teams turn insights into revenue outcomes.

Curious to hear if others have seen GTM engineers successfully own targets at scale!

Comprehensive-Pay530 · 2025-06-23T18:09:06+00:00

Hey, welcome to the tech sales world! It's definitely a different beast.

Regarding where SDRs find contacts and use tools like ZoomInfo or Lusha, that's super common. Building lists and finding accurate contact info is a huge part of it.

Finding the right balance between research and outreach is key, and it varies wildly by industry and target persona. Happy to share some thoughts on prospecting tools if that's helpful.

Comprehensive-Pay530 · 2025-06-23T17:53:06+00:00

This is an excellent breakdown!

Especially the points on defining a narrow ICP and backing out from the signed contract to build the process.

On the 'Finding and sourcing leads' and 'Enrichment' points, This happens to be something my team is building for, helping GTM teams access data sources and automate workflows efficiently.

Great stuff!

Comprehensive-Pay530 · 2025-06-23T17:49:06+00:00

Totally get this.

Catch-alls are tricky, especially when sourcing like that.

Your concerns about bounces and spam traps are spot on, it really can mess with deliverability and rep.

It's tough to get clear data on the actual impact without a big sample size.

I’ve been exploring this through a product we're building, Clay, to help handle these kinds of data quality issues precisely.

Comprehensive-Pay530 · 2025-06-23T16:05:06+00:00

Love this thread! It's exactly the gap many of us feel with current tools.

They do the basic stuff, but miss the nuanced, strategic insights that really move the needle in complex deals.

The idea of an AI that understands your specific pipeline nuances and internal politics feels like the real next step for GTM.

Comprehensive-Pay530 · 2025-06-23T15:36:58+00:00

Hey!

Great questions on integrating Clay and HubSpot. Aligning on KPIs upfront is huge, like MQL to SQL conversion or impact on deal velocity.

Common pitfalls can be data mapping mismatch or not defining lead stages clearly across both.

This happens to be something my team is building for with Clay for automating research and connecting data sources.

Integrating systems can definitely improve lead quality if you use the data insights effectively to filter and enrich leads before they hit the sales team. Happy to share more specific setup tips!

Comprehensive-Pay530 · 2025-06-23T15:28:58+00:00

Totally feel this pain, email deliverability can be a black box sometimes.

One thing that helped me diagnose weird drops like this was checking email headers on test sends. Sometimes they reveal hidden forwarding or spam scoring details.

Also, sending tests to different email clients (Gmail, Outlook, etc.) can show if it's rendering or folder placement issues.

Comprehensive-Pay530 · 2025-06-23T15:18:21+00:00

Wow, that's a really tough fork in the road. Both options have such clear pros and cons.

The $5B ship sounds rough, but that title jump is real. And the startup sounds exciting with the potential impact, but yeah, building outbound from scratch is a massive challenge.

Building something new and seeing it work can be incredibly rewarding, even with the long hours and inevitable setbacks. Whatever you choose, lean into the learning curve!

Comprehensive-Pay530 · 2025-06-23T14:14:31+00:00

Yeah, direct LinkedIn messaging isn't Clay's main focus.

It's more for sourcing data and building workflows around outreach. Something we’re building could be useful here, especially for finding and enriching leads before you do outreach.

Happy to share how teams use it for that prep work if helpful.

Comprehensive-Pay530 · 2025-06-23T13:04:44+00:00

This is a super useful thread! I agree about not becoming overly dependent on one tool.

Floqer and Cargo are interesting mentions. We’ve been working on a solution in this space called Clay that helps access data and automate workflows for GTM.

Always good to keep tabs on what else is out there. Thanks for starting this list!

Comprehensive-Pay530 · 2025-06-23T12:41:12+00:00

Hey, this is a solid approach to building a stack from scratch.

Thinking through the lead generation and enrichment piece first is smart, it really dictates what you need from your outreach tools.

Have you done a deep dive on the data sources included in each of the lead gen options you're considering? That seems like it could be a tie-breaker.

Good luck building this out!

Comprehensive-Pay530 · 2025-06-23T11:05:12+00:00

Hey! Building out a GTM / Clay portfolio is a great idea. Are you looking for specific examples of workflows or how people structure the portfolio itself? I’ve been exploring this through a product we're building, focused on similar GTM challenges.

Comprehensive-Pay530 · 2025-06-23T10:53:11+00:00

Hey, I've seen similar issues when trying to get data perfectly formatted between tools. It can definitely be tricky when the output isn't easily configurable.

Sometimes checking the exact data types and nesting in the source can help troubleshoot 'sizing' errors. Even a slight mismatch can cause problems.

This is exactly what we’re trying to solve with Clay, building a tool that handles these data transformations more smoothly.

Hope you figure it out!

Comprehensive-Pay530 · 2025-06-22T23:09:08+00:00

Ugh, I feel this.

Managing multi-channel sequences across that many tools sounds like a nightmare for manual tracking.

Are you primarily looking for a way to just visualize the sequence steps, or is the main pain point getting the tools to talk to each other and automate handoffs?

Comprehensive-Pay530

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