Publié il y a 8 jours
Technical Co-founder - AI for Automotive Retail
@ FutureSight Ventures
Télétravail au Canada
En bref
FutureSight Ventures is seeking a Technical Co-founder and CTO to own product and engineering for Atrium, an always-on AI workforce of agents for used-car dealer groups. The role covers core architecture across web, desktop, browser and mobile, the agent autonomy model, data integrations and hiring the founding engineering team. Founder equity and co-decision rights are offered, and the posting asks for full-time commitment.
Responsabilités :
- Own product architecture for AI agents across web, desktop, browser and mobile
- Design the agent autonomy and trust model
- Build integrations with dealer data ecosystems and third-party systems
- Own unit economics and technical direction
- Hire and lead the founding engineering team
Résumé des exigences :
- Shipped agentic or LLM systems into production
- Shipped desktop and mobile apps connected to a web platform
- Experience with SLMs and SLM fine-tuning
- Experience with web scraping at scale against anti-bot defences
- Built complex graph data layers for reasoning
- Automotive domain experience is a plus
Source et dates
Site carrière / système de candidatures · teamtailor
- Date publiée par l’employeur
- 2026-11-03
- Première détection par notre source
- 2026-11-03
- Mise à jour du dossier source
- 2026-11-03
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
FutureSight Ventures
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We co-found and fund vertical B2B AI companies. We are your full-stack co-founding team.
Description complète de l’entreprise
FutureSight is a leading venture builder located in Toronto, San Francisco, and Los Angeles. We cofound and fund vertical B2B AI software companies with values-driven entrepreneurs from zero to one. We are a team of founders, operators, investors, and designers with experience successfully bringing software to market at scale.
- Abonnés LinkedIn
- 29 208
- Personnes associées sur LinkedIn
- 45
- Bureaux déclarés
- 2193 Filmore Street, San Francisco, California 94115, US
- 101 College St, 250, Toronto, Ontario M5G 1L7, CA
- Autres noms enregistrés
- FutureSight
- Le profil indique une agence de recrutement
- Non
FutureSight is a leading venture builder located in Toronto, San Francisco, and Los Angeles. We cofound and fund vertical B2B AI software companies with values-driven entrepreneurs from zero to one. We are a team of founders, operators, investors, and designers with experience successfully bringing software to market at scale.
| Champ | Valeur |
|---|---|
| Secteur | Venture Capital and Private Equity Principals |
| Taille | 11-50 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2021 |
| Offres sur Jobsy | 42 |
| Voir la page |
The Opportunity
Every used-car dealer's profit is made or lost the moment they buy the car — not when they sell it. That decision runs on gut feel, spreadsheets, and whoever has a spare hour, inside a $500B+ industry that hasn't meaningfully modernized how it buys. We think that's an AI-native category waiting to be built, and we're going first.
The problem and solution are validated with a domain co-founder who lives this daily and has already hand
The Venture
Atrium is an always-on AI workforce, not a dashboard — agents that watch, learn, and earn the right to act on their own, deployed inside dealer groups' existing workflows. The same decision logic has to show up everywhere the work already happens — web, desktop, our own browser, mobile — so the workforce follows the person, not the other way around. One brain, every surface.
This isn't a weekend's worth of CRUD. Think dozens of specialist agents organized into a handful of coordinated workflows, sharing one memory, each one earning the right to act on its own track record — across four surfaces at once. If that sounds like a fun problem rather than a scary one, keep reading.
A real technical moat if built right, and a wide-open field — no dominant AI-native player has claimed this category yet. Specifics on the product, the model, and where we stand commercially are best shared in conversation; we're early and staying deliberately quiet in the market.
The Partnership
CEO and domain co-founder are in place; the problem is validated. We're looking for a technical co-founder to own product and engineering from the first commit — full authority, founder equity, a real seat at the table on every major call.
This is a co-founder role, not a CTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, and a genuine partnership with the CEO on every material decision.
What you'll own
As Co-Founder & CTO, you will take over the production code and continue building the product (the first lines of production code), set the technical direction, and lead execution end-to-end.
Own the core architecture decision that shapes everything else — how the agents actually see and act in a dealer's world, and how one system stays coherent across a web app, a desktop app, our own browser, and mobile, without four separate products drifting apart
Design the autonomy model: how an agent earns the right to act alone, and how that trust is never assumed
Build the integration layer into a data ecosystem that won't always cooperate
Build partnerships with ecosystem data providers and third-party systems to land unconventional integrations no standard API gets you
Own unit economics as an architecture problem, not an afterthought — this many agents, across this many surfaces, has to add up
Own the design and layering of the system for the dev team, and keep the build matched to what the business and sales side actually need
Be the technical voice with dealers, design partners, and investors
Hire and lead the founding engineering team
Co-Founder Profile
Must Have:
Has shipped agentic or LLM systems into production where being wrong actually costs something
Has shipped desktop and mobile apps connected to a larger web platform — comfortable with one product living across multiple facets and surfaces, not just a single app
Has shipped LLM-based products, but also worked with SLMs and SLM fine-tuning
Has dealt with the real nuances of web scraping — anti-bot defences, rate limits, brittle DOMs, the gap between "works in a demo" and "works at scale against a site that doesn't want you there"
Has built complex, modelled data graph layers for intelligence — not just a data pipeline, but a structure that reasoning can actually run on
Comfortable owning infra, data, and product alone — then hiring past yourself
Treats guardrails and reversibility as core product, not overhead
Good to have: edge computing and power-constrained systems, high-frequency distributed computing infrastructure
Great to Have:
Experience building against locked-down or adversarial third-party data
Vertical/operational domain grit (Automotive)
Pragmatic and creative — a solution finder who gets to "working" fast and iterates from there
Co-operative, strategic, and hands-on in equal measure
How to Apply
Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate.
FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.
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