Edward Feitz
Available now · Las Vegas, NV

Solution engineering, run like a system.

Solutions Engineering leader with 18 years building and coaching presales teams. I rebuilt IntelePeer's SE organization, now Aqurio, around AI agents for the contact center. Win rates went from 20% to 35% and PoC cycles from 6 to 3.5 weeks.

Talk to my agent Key strengths What others say See experience
20→35%win rate with a MEDDPICC-aligned discovery method
6→3.5weeks, PoC cycle time, with 52% PoC-to-close
$23Mclosed-won ARR supported by the SE team in 2025
40+Solution Engineers and 6 managers led at Black Box
Two ways to read my background

Pick the lens that fits the role

Results

What the numbers came from

A discovery method the team ran onWin rate 20% to 35%

Built a MEDDPICC-aligned qualification and discovery process with structured coaching and pipeline inspection. It took 1.5 years to move the win rate. Earlier, consultative discovery lifted the Black Box West Region win rate from 18% to 32%.

Playbooks and AI-assisted workflowsPoC cycle 6 to 3.5 weeks

Standardized demo, PoC, and solution design playbooks, then built AI-assisted demo workflows. Demo build time dropped from days to hours, with 52% PoC-to-close conversion across 30+ engagements.

From telephony to AI-firstAI demo in 80% of new-logo pursuits

Reskilled 5 SEs on conversational AI, LLM-based agents, and IVR modernization. Designed agent integrations with Genesys, Amazon Connect, RingCentral, UJET, Cisco Webex, Microsoft Teams, and EHR/PMS and CRM systems.

Partner governance and enablementPartner-sourced revenue +30%, $8M+ incremental

Ran an enablement program for GSIs, MSPs, and strategic partners. At Black Box, built engagement and governance models with GSIs including Accenture, Deloitte, and IBM, plus MSP and VAR partners.

Coverage and commercial strategy$23M closed-won ARR, 3:1 AE-to-SE

Partnered with the CRO on resource allocation and go-to-market for commercial new logos. Senior technical and business lead on strategic deals up to $3M+ TCV, presenting AI value and ROI to C-suite buyers.

Contracts, pricing, and securitySOWs and MSAs

Authored and evaluated SOWs and MSAs with technology vendors and partners, negotiated pricing, and worked with Legal on terms and with the CISO on security requirements.

Teams that stay and grow14 people, 8 hired, 2 promoted, 5 retained

Scaled a 2-manager, 12-SE organization, then led it through the 2024 restructuring and the 2026 move to Aqurio while retaining 5 top performers. Most recently led a team of 6.

Key strengths

What I bring to a team

Technical acumen

  • Deep call center (CCaaS) knowledge
  • Voice and UCaaS fundamentals
  • APIs and integrations
  • LLMs and generative AI
  • Understand how AI fits into customer workflows
  • Explain complex tech simply

Business acumen

  • Know how buyers make decisions
  • Connect tech to ROI and outcomes
  • Understand channel and direct models
  • Read deals, pricing, and contracts
  • Think like a seller, not just an engineer

Leadership

  • Grow and coach people
  • Hire the right talent
  • Build teams and process
  • Hold steady through change
  • Earn trust across Sales, Engineering, and Legal

Critical thinking

  • Break big problems into parts
  • See patterns across deals and markets
  • Make decisions with incomplete info
  • Spot risk early
  • Adapt fast to new tech
Interactive

The SE lifecycle I built

Select a stage to see what it covers and how it runs. Then pick a lens to see how I read the metrics.

Faster, Bigger, Cheaper, Effective: four lenses, translated into presales KPIs.

Interactive

Talk to my agent, out loud or in text

An AI assistant that answers questions about my background, using my resume as its source. Press Start call and just talk, or type. Headphones work best.

Your voice›Transcribe –›Reason –›Speak –›Playback –

Ask a question or pick one above.

How it is grounded

The agent answers from a text file written from my resume and my own list of strengths. It does not search the web. If something is not in that file, it says so and points to my email. It does not discuss compensation or why a role ended.

How it is built

Three steps chained behind one Cloudflare function: OpenAI turns your speech into text, Claude writes the answer, and OpenAI reads it aloud. The keys stay on the server and never reach the page. Your audio goes to OpenAI for transcription, and this site does not keep it. Replies are capped in length and only the last few turns are kept.

What separates it from production

Each step finishes before the next starts, so the timings above add up, and a short pause is added to confirm you have stopped talking. Interrupting works by stopping playback when a volume detector hears you, so it can misfire in a noisy room or on speakers. It uses a browser microphone, not a phone line, and it cannot book time. It is a demo, not a service.

Recommendations

What others say about working with Ed

Colleagues, partners, and customers have written about working with me on LinkedIn. Read them in full there.

Read recommendations on LinkedIn
Experience

Eighteen years in pre-sales leadership

Aug 2018 – Sep 2026
Remote

IntelePeer / Aqurio

Senior Director of Solution Engineering

  • Led Solutions Engineering within the sales leadership organization, reporting to the CRO with shared revenue targets. In 2026 IntelePeer moved its generative AI business into Aqurio, a subsidiary.
  • Defined go-to-market for commercial new-logo growth with the CRO. The SE org supported $23M closed-won ARR in 2025 using a 3:1 AE-to-SE coverage model.
  • Built the MEDDPICC-aligned discovery methodology, raising win rates from 20% to 35% over 1.5 years.
  • Cut PoC cycle time from 6 to 3.5 weeks and demo build time from days to hours. 52% PoC-to-close across 30+ engagements.
  • Led the shift to AI-first contact center selling. Reskilled 5 SEs and launched an AI demo motion used in 80% of new-logo pursuits.
  • Scaled the team to 14, hired 8 SEs, promoted 2 into management, and retained 5 top performers through the 2024 restructuring and the move to Aqurio.
  • Built a partner enablement program for GSIs, MSPs, and strategic partners: partner-sourced revenue up 30%, more than $8M incremental.
  • Authored and evaluated SOWs and MSAs, negotiated pricing, and worked with Legal and the CISO. Technical and business lead on deals up to $3M+ TCV.
Apr 2015 – Aug 2018
Los Angeles, CA (Remote)

Black Box Network Services

Senior Director of Engineering, Solutions Architecture

  • Led Solutions Architecture and Pre-Sales Engineering across networking, security, communications, and managed services: 6 direct-report managers and 40+ Solution Engineers across North America.
  • Moved the organization from reactive product support to consultative selling. Services attach rate rose 35% over 2 years and average deal size grew 20%.
  • Supported 20+ complex pursuits a year, including executive presentations and RFP/RFI responses, winning $20M+ in new business.
  • Developed partner engagement and governance models with GSIs, MSPs, and VARs.
Jan 2008 – Apr 2015
Newport Beach, CA

Black Box Network Services

Solutions Engineering Manager, Cisco Practice (2012–2015) · Engineering Manager, West Region (2008–2012)

  • Built the Cisco Solutions Practice for North American Commercial Services and grew Cisco revenue from under $1M to $10M+ in 2+ years.
  • Led a West Region team of 12 SEs at one of Avaya's largest channel partners, designing Avaya Contact Center, Genesys, and Cisco UCCX solutions.
  • Raised the West Region win rate from 18% to 32% with consultative, business-focused discovery.
Skills

Platforms, tools, and learning

Platforms

Five9GenesysAmazon ConnectRingCentralUJETCisco WebexMicrosoft TeamsCisco UCCXAvaya Contact CenterAthena HealthModMedECWZendeskSalesforceHubSpot

Tools

ClaudeSalesforceGongConfluence

Certification

Navigating Generative AI for Leaders, Coursera. In progress, 2026.

Education

Saddleback College, Mission Viejo, CA. Coursework in Computer Sciences and Business Administration.

Contact

Open to solution engineering leadership

I am looking for a team where pre-sales is a growth lever and where structure, a method, and numbers the sales leader trusts are wanted. Based in Las Vegas, remote-ready.