# interface.ai — VP of Platform Engineering

- Generated: 2026-09-07 04:01:16 PM EDT
- Original/canonical posting: https://jobs.ashbyhq.com/interface-ai/5d86f8a7-1890-4eef-ad35-43feb52ea38d
- Jobright source: https://jobright.ai/jobs/info/6a4ead7a15b4965afd58437d
- Posted: 2026-08-26 12:15:45 PM EDT
- Elapsed since posting at capture: 12 days, 3 hours, 45 minutes
- Valid through: 2026-09-26T16:15:45
- Applicants: Not disclosed
- Work model/location: Remote — United States
- Employment type: Full time
- Compensation: $350,000-$500,000 annually plus 1%-2% equity
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 87% (78/90 weighted evidence points)

## Direct-match strengths

AI-native platform leadership, production agents/LLMs/RAG, voice and conversational AI, distributed systems, APIs, AWS architecture, Python, technical player-coach leadership, team building, evaluation, observability, reliability, and AI-assisted engineering.

## Hard or material gaps

Hard education gap: the canonical Ashby posting explicitly states “BS/BA in CS required,” while Keith's degrees are in Microbiology, Molecular Biology, and Microbiology & Immunology. The required history of scaling a platform/infrastructure team through a funding transition is also less direct than his broader startup and organization-building evidence.

## Evidence map

1. **Own the AI-native platform-engineering organization** — weight 3, evidence score 3/3. Direct AI-platform ownership, engineering strategy, architecture, and operations at IDW and prior organizations.
2. **Production agentic/conversational AI platform** — weight 3, evidence score 3/3. Direct production agents, RAG, orchestration, voice interaction, and customer-service technology.
3. **Evaluation gates, velocity, and quality** — weight 2, evidence score 3/3. Direct evaluation frameworks, AI-assisted coding, testing, CI/CD, and quality controls.
4. **AI-native engineering culture and frontier tools** — weight 2, evidence score 3/3. Direct Codex mentoring, 50%+ AI-generated product code, and frontier-model evaluation.
5. **Incident response, observability, and reliability** — weight 2, evidence score 3/3. Direct production operations, three-nines uptime, monitoring, observability, and reliable platform delivery.
6. **10+ years engineering and 4-6 years high-growth leadership through funding transition** — weight 3, evidence score 2/3. Long direct engineering/startup leadership; exact platform-team scaling through a funding transition is less explicit.
7. **Required AI/agentic, ML infrastructure, or voice AI domain** — weight 3, evidence score 3/3. Direct production AI, agentic systems, MLOps, and voice-interaction evidence.
8. **Distributed systems, APIs, cloud architecture, and production Python** — weight 3, evidence score 3/3. Direct hands-on evidence across AWS platforms and SaaS products.
9. **Still technical at PR and architecture depth** — weight 3, evidence score 3/3. Direct recent coding, reviews, architecture, cloud infrastructure, and critical-path delivery.
10. **BS/BA in Computer Science** — weight 3, evidence score 0/3. Explicit required credential is unsupported; Keith's degrees are in biological sciences.
11. **Remote and compensation constraints** — weight 3, evidence score 3/3. Canonical listing is active and remote; compensation exceeds Keith's threshold.

## Full normalized job description

Note: The job is a remote job and is open to candidates in USA. Interface.ai is building the AI infrastructure for financial services, focusing on democratizing financial wellness for everyday Americans. They are seeking a VP of Platform Engineering to lead the platform-engineering team, responsible for AI-native core systems and ensuring the reliability and scalability of their technology stack.
Responsibilities
Own the platform-engineering half of the org — the AI-native core that everything runs on: the Intelligence domain (agent runtime, knowledge / retrieval, evals, the data flywheel), Connectivity (integrations, channels, computer-use / actions-beyond-APIs), Data & Fraud, Assemble (the agent-authoring platform), and the cross-pillar infrastructure
Build and scale the platform / AI / infra team and its standards
Oversee the agentic & conversational AI platform — LLM orchestration, retrieval systems, evals, and integration / computer-use infrastructure
Ensure velocity & quality — the tooling, eval gates, and reliability practices every domain depends on
Foster an AI-native engineering culture — frontier tools as standard; an engineering harness that makes every engineer 10×
Maintain eng/ops excellence — incident response, observability, reliability targets; partner on architecture and product
Skills
10+ years engineering; 4–6 in leadership at high-growth startups / scale-ups; scaled a platform / infra team through a funding transition
Domain commonality (required): AI / agentic systems, LLM / ML infrastructure, or conversational / voice AI at production scale working on the platform
Deep AI engineering fluency — how LLMs work, how to build reliable agentic systems on them, what 'agentic AI' means at the infra level
Hands-on platform background — distributed systems, API design, cloud architecture, production AI ops. Production-scale TypeScript and/or Python
Still technical — reviews PRs, makes architecture calls, holds their own with a Staff / Chief Engineer
BS/BA in CS required
Ex-founder who scaled an AI-native / platform startup (strong preference, not a bar)
MS/PhD a plus
Benefits
100% paid health, dental & vision care
401(k) & financial wellness perks
Daily meals on us
Commuter benefit
Monthly wellness stipend
Claude Enterprise + frontier AI tools for every employee — build with the best
Brand-new 21st-floor SF office at 44 Montgomery — floor-to-ceiling views, worth showing up to
Discretionary PTO + paid parental leave
Mental health, wellness & family benefits
Work model: REMOTE
Workplace_type: Remote
Company Overview
interface.ai is an award-winning out-of-the-box Intelligent Virtual Assistant(IVA) for Banks & Credit Unions. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://interface.ai.
Company H1B Sponsorship
interface.ai has a track record of offering H1B sponsorships, with 1 in 2026, 3 in 2025. Please note that this does not guarantee sponsorship for this specific role.

## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- LinkedIn connection request: Not generated for a FAIL role.
- Google Drive used: No