Technical Co-Founder / CTO

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BLACKLINE is an exclusive private membership platform designed to provide an exceptional experience in aesthetics, wellness, fitness, and personal care across London. We pride ourselves on a meticulously curated network of top-tier operators to meet members' high standards. With a focus on personalized attention, BLACKLINE offers a seamless and bespoke experience. Membership is granted selectively, catering to individuals who value excellence and exclusivity.

BLACKLINE is an exclusive private membership platform designed to provide an exceptional experience in aesthetics, wellness, fitness, and personal care across London. We pride ourselves on a meticulously curated network of top-tier operators to meet members' high standards. With a focus on personalized attention, BLACKLINE offers a seamless and bespoke experience. Membership is granted selectively, catering to individuals who value excellence and exclusivity.

Overview

BLACKLINE is a private, invite-only membership across London focused on health, beauty, and personal care.

We are building a concierge layer powered by AI — designed to handle booking, coordination, and member preferences across messaging and voice, with the standard and discretion expected of a private members’ network.

This is not a typical startup role.

We are building infrastructure for experience, not a product for scale.

What You’ll Build

You will architect and ship the BLACKLINE Concierge Agent, operating across:

  1. WhatsApp (Primary Interface)
    • Booking coordination with providers
    • Memory of member preferences
    • Context-aware responses (time, location, history)
  2. Voice (Phone Concierge)
    • Real-time conversational agent
    • Natural, human-like voice (e.g., ElevenLabs or equivalent)
    • Call handling (inbound + outbound)
    • Seamless escalation to human when required
    • Provider availability + scheduling logic
    • CRM integration

Core Responsibilities

  • Design and build the end-to-end AI concierge system
  • Select and integrate LLMs, voice models, and orchestration frameworks
  • Build WhatsApp automation (e.g., via Twilio, Meta APIs, or equivalent)
  • Ensure low latency and high reliability
  • Maintain strict data privacy and security standards
  • Define architecture that scales without degrading experience

Technical Requirements

AI / LLM Systems
  • Tool use / function calling
  • Memory systems (vector DBs, session memory)
  • Multi-step workflow orchestration
Voice Systems
  • Real-time speech pipelines (STT / TTS)
  • Latency optimisation for conversational flow
  • Experience with providers like ElevenLabs or similar
Messaging Infrastructure
  • WhatsApp API integrations
  • Webhooks and async processing
  • Node.js / Python (preferred)
  • Cloud infrastructure (AWS / GCP)

What We Care About (More Than Stack)

  • You ship fast — not just design systems
  • You understand user experience in conversation, not just code
  • You can balance automation vs human touch
  • You care about detail, tone, and discretion

This is not

  • a chatbot
  • a support tool
  • a generic AI assistant

It must feel like

  • a private concierge that already knows the member

Nice to Have

  • Experience building AI agents in production
  • Experience with booking / scheduling systems
  • Familiarity with CRM tools (HubSpot, custom pipelines)
  • Background in high-end consumer or service experiences

Stage & Commitment

  • Early-stage / pre-scale
  • Equity-based co-founder role
  • London-based preferred (not mandatory)

What Success Looks Like

  • A member can message or call BLACKLINE
  • Make a request in natural language
  • Have it handled seamlessly end-to-end
  • No friction.
  • No repetition.

Why This Matters

Most AI products optimise for efficiency.

  • trust
  • consistency
  • experience

If you get this right, you’re not building a feature —

  • you’re building the operating system of the brand.

#J-18808-Ljbffr”, “datePosted”: “2026-05-12”, “hiringOrganization”: { “@type”: “Organization”, “name”: “BLACKLINE”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__429294250__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }
Company: BLACKLINE
Apply for the Technical Co-Founder / CTO
Location: London
Job Description:

BLACKLINE is an exclusive private membership platform designed to provide an exceptional experience in aesthetics, wellness, fitness, and personal care across London. We pride ourselves on a meticulously curated network of top-tier operators to meet members’ high standards. With a focus on personalized attention, BLACKLINE offers a seamless and bespoke experience. Membership is granted selectively, catering to individuals who value excellence and exclusivity.

BLACKLINE is an exclusive private membership platform designed to provide an exceptional experience in aesthetics, wellness, fitness, and personal care across London. We pride ourselves on a meticulously curated network of top-tier operators to meet members’ high standards. With a focus on personalized attention, BLACKLINE offers a seamless and bespoke experience. Membership is granted selectively, catering to individuals who value excellence and exclusivity.

Overview

BLACKLINE is a private, invite-only membership across London focused on health, beauty, and personal care.

We are building a concierge layer powered by AI — designed to handle booking, coordination, and member preferences across messaging and voice, with the standard and discretion expected of a private members’ network.

This is not a typical startup role.

We are building infrastructure for experience, not a product for scale.

What You’ll Build

You will architect and ship the BLACKLINE Concierge Agent, operating across:

  1. WhatsApp (Primary Interface)
    • Booking coordination with providers
    • Memory of member preferences
    • Context-aware responses (time, location, history)
  2. Voice (Phone Concierge)
    • Real-time conversational agent
    • Natural, human-like voice (e.g., ElevenLabs or equivalent)
    • Call handling (inbound + outbound)
    • Seamless escalation to human when required
    • Provider availability + scheduling logic
    • CRM integration

Core Responsibilities

  • Design and build the end-to-end AI concierge system
  • Select and integrate LLMs, voice models, and orchestration frameworks
  • Build WhatsApp automation (e.g., via Twilio, Meta APIs, or equivalent)
  • Ensure low latency and high reliability
  • Maintain strict data privacy and security standards
  • Define architecture that scales without degrading experience

Technical Requirements

AI / LLM Systems

  • Tool use / function calling
  • Memory systems (vector DBs, session memory)
  • Multi-step workflow orchestration

Voice Systems

  • Real-time speech pipelines (STT / TTS)
  • Latency optimisation for conversational flow
  • Experience with providers like ElevenLabs or similar

Messaging Infrastructure

  • WhatsApp API integrations
  • Webhooks and async processing
  • Node.js / Python (preferred)
  • Cloud infrastructure (AWS / GCP)

What We Care About (More Than Stack)

  • You ship fast — not just design systems
  • You understand user experience in conversation, not just code
  • You can balance automation vs human touch
  • You care about detail, tone, and discretion

This is not

  • a chatbot
  • a support tool
  • a generic AI assistant

It must feel like

  • a private concierge that already knows the member

Nice to Have

  • Experience building AI agents in production
  • Experience with booking / scheduling systems
  • Familiarity with CRM tools (HubSpot, custom pipelines)
  • Background in high-end consumer or service experiences

Stage & Commitment

  • Early-stage / pre-scale
  • Equity-based co-founder role
  • London-based preferred (not mandatory)

What Success Looks Like

  • A member can message or call BLACKLINE
  • Make a request in natural language
  • Have it handled seamlessly end-to-end
  • No friction.
  • No repetition.

Why This Matters

Most AI products optimise for efficiency.

  • trust
  • consistency
  • experience

If you get this right, you’re not building a feature —

  • you’re building the operating system of the brand.

#J-18808-Ljbffr…

Posted: May 12th, 2026