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Josefusan/README.md

Joseph Clark
Technical Account Manager · AI Solutions · Sales Engineer
Remote · Clients + systems + practical AI


About

I sit between customers and product.

Background: Accenture (client operations / finance) → Sales Engineer at Halcyon → Account Manager at Trevera → freelance software & AI work for real operators.

That path means I can:

  • own account health, renewals, expansions, and escalations
  • run demos/POCs and translate product ↔ buyer language
  • implement AI automation where it removes friction, not where it creates theater

I’m looking for remote roles as Technical Account Manager, AI Solutions Consultant, Customer Success (AI/SaaS), or mid-market Sales Engineer.


Experience snapshot

Role Org Years
Freelance Software Engineer & AI Builder Independent (client + product work) 2024 – Present
Account Manager Trevera 2023 – 2025
Sales Engineer Halcyon 2022 – 2023
Client Operations Analyst Accenture 2021 – 2022

All remote.

Education: M.S., IT Management — Western Governors University (2023–2024) · B.S., Finance — University at Buffalo (2020)


Freelance & client work (2024 – Present)

I take on scoped builds where commercial context matters as much as code:

  • Clinic / operator automation — lead handling, booking, and follow-up workflows; CRM as source of truth; discovery → build → handoff so non-technical teams can run it
  • Investor-facing web systems — production sites and internal tools for small public / OTC companies (clean IR presence before filings)
  • GTM enablement tools — TypeScript/Python services and Next.js apps used in live outbound and account workflows

Operating principle: ship something an account team can defend in a QBR, not a demo that dies after the call.


AI research & systems work

I treat AI as delivery infrastructure, not a personality.

Agent systems & evals

  • Multi-agent workflows for research → draft → quality gate → action
  • Eval / harness thinking: artifact-first checks, failure modes, human gates before risky actions
  • RAG and tool-using agents for account/ops contexts (not toy chat wrappers)

Applied GTM agents

  • BDRclaw — open-source AI BDR patterns: prospect research, gated outreach drafts, reply classification, CRM sync across email/SMS/LinkedIn rails
  • Focus on control flow, quality gates, and auditability — the parts employers care about when AI touches customers

Selected recognition

  • **LabLab.ai AI Agents Hackathon — autonomous multi-agent pipeline; recognized for effective agent prompting

I’m less interested in “AI for AI’s sake” and more in: Does this reduce implementation friction, protect the account, and survive production?


Selected projects

BDRclaw

Open patterns for an AI BDR: research, draft/gate outreach, classify replies, book meetings, keep CRM authoritative. Built to show safe agent design for customer-facing workflows.

MyGrokFlow delivery work

Hands-on AI automation for clinics and operators: multi-channel workflows, CRM-centered state, and handoffs non-technical teams can run. Implementation included.


Skills

Client & GTM — account management · sales engineering · demos/POCs · renewals/expansion · CRM discipline · stakeholder communication

AI leverage — agent workflows · automation · RAG · eval/harness thinking · practical LLM tooling for delivery

Build — TypeScript · Python · JavaScript · Next.js/React · Node · APIs · SQL · Git

Languages — English (native) · Spanish (C1) · Italian (B1) · Portuguese (B1)


Stats


Open to remote TAM / AI Solutions / CSM / Sales Engineer roles · linkedin.com/in/josephc9

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