Your job description reads like a description of how I operate: AI-first healthcare SaaS, revenue-positive from year one, multi-year customer contracts, scaling to 100+ employees, $1B valuation in 18 months.
I've built that trajectory — P.S.S. Urology went from zero to $7M ARR. I'm building it again with AEHS (hormone health diagnostics, active Reg D raise). And I've built the AI infrastructure layer to prove I understand what "AI-native" actually means in a product context, not just as a pitch deck adjective.
You said you're not looking for passengers. Neither am I. I run an operating company where the default state of work is autonomous agent execution — I get involved when judgment, relationship, or decisions are required. That operating model is exactly what it takes to operate at Curative AI's pace.
End-to-end AI platform: MLX Whisper on Apple Silicon, production FastAPI, Stripe billing, developer SDK, 19+ model cost intelligence. Live at signalloomai.com. Architecturally: privacy-by-design, audio never leaves the hardware, multi-format output (JSON + SRT + VTT + TXT) in a single pass.
Estimates what any prompt costs across 19+ models before running. Integrates via SDK. Consumer free tier + API key billing. Not a demo — a live product with real revenue.
Detects poisoning in AI training data, adversarial inputs, and model integrity threats. Phase 1: 8 MITRE ATLAS signatures, 4 statistical detectors. Built with IsolationForest, OCSVM, Autoencoder detection frameworks.
Compliance education SaaS: $27/mo membership → $97 Handbook → $997 Course. Ghost.io infrastructure, Stripe billing, full email automation. HIPAA-aware data handling. Built in 90 days with autonomous agent team.
| Requirement | Fit | Evidence |
|---|---|---|
| Seattle Metro · 3 days Bellevue | ✓ | Located in WA — ready for hybrid on-site. |
| 10+ yrs Product, 5+ leading PM teams | ✓ | Founder/CEO AEHS · Founder P.S.S. Urology ($7M ARR) · Signal Loom AI product + ops · 4 specialized agents managed daily. |
| Healthcare Technology (SaaS, HCIT, RCM, EHR) | ✓ | AEHS: hormone health, saliva/blood/serum diagnostics, HIPAA-aware infra, active Reg D raise. P.S.S. Urology: $7M ARR medical device. Talos Biotech advisory: peptide pharma. |
| 2+ yrs hands-on engineering (ML, data products, workflows) | ✓ | Signal Loom AI: full production stack (MLX Whisper, FastAPI, Stripe, SDK). Datilluma: ML detection (IsolationForest, OCSVM, Autoencoder). Agentic ops: 4 agents, RDMA cluster, launchd orchestration. |
| Enterprise SaaS product development and execution | ✓ | AEHS Compliance: full SaaS funnel ($27–$997 tiers), Ghost.io + Stripe. Signal Loom API: rate limits, auth, webhooks, multi-format output. AEG Compliance: 13485-aligned quality frameworks. |
| Zero-to-one and scale — complex multi-product platforms | ✓ | P.S.S. Urology: zero → $7M ARR. Signal Loom AI: concept → production revenue. AEHS: concept → active capital raise. AEG Compliance: 0 → running SaaS in 90 days. |
| Working with Engineering + operations-heavy teams | ✓ | Full-stack ops: Mac mini + Mac Studio cluster with RDMA, self-hosted APIs, Cloudflare infra. Built agentic ops system 24/7 without manual intervention. P.S.S. Urology: assembled + trained entire team from scratch. |
| Defining AI-enabled product capabilities and workflows | ✓ | Signal Loom AI: defined + built AI-native transcription pipeline. Datilluma: 8 MITRE ATLAS signatures. LoomLens: AI cost intelligence as product category. Agentic ops: autonomous multi-agent workflow as operating model. |
| Executive communication and presence | ✓ | Investor decks: AEHS Reg D, Allele Capital Partners. Board-level: Talos Biotech key advisor. Sales: $75M+ career revenue — primary mechanism was executive relationship management. |
| Early-stage, high-growth startup environment | ✓ | AEHS: early-stage, Reg D raise, AI healthcare. Signal Loom AI: early-stage, revenue-generating. P.S.S. Urology: zero → $7M. Talos Biotech: peptide pharma startup advisory. |
My baseline operations run on autonomous agents 24/7 — research, content, infrastructure monitoring, client communications, system health. I get involved when judgment, relationship, or decisions are required. This is a functioning business where the default is automated and my attention is the scarce resource, not the labor.
I don't build prototypes or slide decks. Signal Loom AI is a production API with real customers. LoomLens is a live product with Stripe billing. AEHS has real contracts. P.S.S. Urology hit $7M ARR. I measure product success by commercial outcomes, not feature completeness.
P.S.S. Urology: assembled and trained entire team from scratch, grew to $7M ARR, transitioned to advisory while the team carries it forward. Agentic ops: 4 specialized agents functioning without daily intervention. VP of Product at Curative AI means building the team that builds what the company needs — that's exactly what I've done.
Available immediately. Prefers email for initial outreach — I respond within 24 hours.