AnyTeam Welcomes Founding AEs

We’ve moved beyond founder-led sales.

AnyTeam welcomes Bryant Bland and Blake Martin as our founding AEs.

They’re joining a company whose product is purpose-built for AEs. That gives them a rare advantage. They get to be our best users, bring real use cases into our product and roadmap (and maybe even open a pull request in our AI-native development process), and become AnyTeam AI beacons for our customers, showing a new way to use AI from first contact to close.

How we got here

→ 2024: built our first AI chat prototype

→ 2025: built v1 of the product with basic AI copilot features

→ 2026: rebuilt AnyTeam as a fully agentic product with a harness and AI agents

When Claude Opus 5.5 became available in December, we decided to “agentify” our entire company: design, product, engineering, QA and marketing. Our product went generally available this past July, along with new team features and SOC 2 Type II compliance. Today, everything around our selling process runs on AnyTeam.

Customers use AnyTeam in two ways: as an app for their revenue teams (desktop, cloud and mobile), and as a harness that connects to their internal systems to automate agentic revenue workflows.

Real use cases we recently ran on AnyTeam

AE interviews. We set up an agent that runs the whole AE interview workflow: interview prep, personalized questions based on each candidate’s background, email and Slack notes from the recruiting team, a scorecard, and a comparison of candidates against the job profile. Time: 3 to 5 minutes per interview (old way: 1 to 2 hours).

Board updates. We set up an agent that builds interactive artifacts connected to our CRM data, past board meeting data, competitive research and market insights, voice-of-the-customer quotes from our customer conversations, and our product updates (connected directly to GitHub). Time: 30 to 40 minutes (old way: 4 to 8 hours).

Stage 5 MEDDIC agent. On a call with an enterprise prospect, the team showed us 10 multi-step agents they had built by hand in Claude. We showed them how to build each one in AnyTeam’s agent builder in 1 to 2 minutes. One example: run a report of all Stage 5 deals, review the call transcripts, pull CRM data, and create a MEDDIC report to share in the deal’s Slack channel. Time: 1 to 2 minutes (current way: 2 to 3 hours, not counting deployment to users).

Why we hired AEs who have lived the pain

We sell to revenue teams. We want AEs who can become our best users and put real input into the roadmap. In our interviews, this is what we heard from AEs who have lived it:

→ They can’t find a detail in a Gong call, so they dump the transcript into Claude. (If you’re wondering why: Gong was built on a 2015 architecture, not a 2026 one.)

→ They spend hours on the web, jumping between ChatGPT and Claude, to prepare for one meeting. To find history or an update, they have to go back to ChatGPT. Why can’t agents do this automatically and alert them to key signals?

→ They search Slack, email, the CRM and other systems to piece together what happened on a deal. An agent should have all of it in memory and pull it back in milliseconds.

→ They dig through AI features bolted onto a CRM with a clunky UX built in the 2000s. In 2026, it should feel like Muse or Dots: simple, ambient, always learning and getting smarter by the day.

→ They lose hours searching Notion, Seismic and Google Drive for enablement and product marketing content. An agent should hand them what they need in real time, on a call or when they ask, and use it to create visual artifacts on the spot.

→ They sink days into RFPs, copying from old versions and chasing internal stakeholders. An agent should draft the standard 60% and then run agents to coordinate follow-ups with teammates.

About our founding AEs

Bryant has carried a quota for 13+ years, starting his career at Oracle. Most recently he sold anti-money-laundering and fraud detection software to tier 1 and tier 2 banks. Those deals are complex, with many stakeholders, and the AE spends as much time educating the internal team as the buyer. Bryant was already using AnyTeam, so joining was “a no-brainer.” In his own words:

“I understand how CROs and sales leaders think and what matters most. I know the pressure sellers face because I’ve lived it. To get a single deal done, you’re often coordinating with 4 or 5 teams internally: legal, finance, product, solutions and leadership. At the same time, you’re working through a buyer’s organization with its own people, ever-changing priorities and politics. Most of the job is holding all of that context together. I joined AnyTeam because I want to help give sellers time back, reduce all the busy work behind the scenes and increase win rates. That context, combined with my actual use of AnyTeam, made it a logical switch, and it’s something I can relate to on a personal level.”

Blake spent five years at ZoomInfo selling data to marketing, ops, sales and GTM teams. He was also a founding AE at a company ZoomInfo acquired. He watched buyers start getting the same data from Claude, and he watched sales teams shrink. Blake came with a strong reference from the founder and CEO of Docket, who worked with him before. His summary: Blake can hunt, has great founding AE instincts and is a full-cycle AE. In Blake’s own words:

“I was very hungry to have some of the best tools at my fingertips. I’ve seen the cutting edge from ZoomInfo, and I loved that Ajay and Yosh immediately jumped into the tool and showed me the entire platform. That spoke to me. They cared about the tool and truly want to help companies as they work through this AI era. That’s why I’m here. AnyTeam’s at the forefront and is helping GTM teams get back to the best part of selling: building trust. That’s why I chose AnyTeam.”

The future: the agentic AE

Bryant and Blake represent what the agentic AE will do.

They will upskill themselves for what’s next. Instead of doing things the old way, they’ll use AnyTeam to build more pipeline, build trust and relationships with customers, and cut non-selling time. They’ll hand tedious work to agents so they can spend more time with family and friends. And they’ll become masters at using, orchestrating and managing agents.

Importantly, they are not going to be replaced. They are not going to hand everything over to AI. And they are not going to do less work to close a deal.

Think about it this way: in 2, 3 or 5 years, where will you have built more earning power with AI? At an AI-native company like AnyTeam, or at Gong, Salesforce, HubSpot and the rest?

I’m sure you know the answer. It’s the same story as the early days of SaaS, multiplied by 100x with today’s pace of AI. I joined Salesforce in early 2003, when SaaS wasn’t popular and most people stayed at Oracle, HP, Cisco and the other big tech companies. I made the jump to retool my skill set for a new world. The people who didn’t jump early eventually had to move to SaaS anyway, once on-premise software stopped being the mainstay for enterprise applications.

Bryant and Blake get to see an AI-native company built from the ground floor. That’s a once-in-a-lifetime opportunity.

If you’re a rep thinking about your next five years, we’d love to hear from you.