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- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Executive
Job summary
Own product and engineering from the first production code, setting technical direction and building a coherent AI agent platform across web, desktop, browser, and mobile. Lead architecture, integrations, autonomy and safety design, unit economics, engineering hiring, and technical engagement with dealers, partners, and investors.
Job details
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.
What you’ll do
Own product and engineering from the first production code, setting technical direction and building a coherent AI agent platform across web, desktop, browser, and mobile. Lead architecture, integrations, autonomy and safety design, unit economics, engineering hiring, and technical engagement with dealers, partners, and investors.
Requirements
Candidates must have shipped production LLM or agentic systems where errors have real consequences, as well as desktop and mobile apps integrated with a web platform. They should bring experience with SLMs and fine-tuning, web scraping, reasoning-oriented data graphs, infrastructure and product ownership, and safety-focused design; automotive or adversarial data experience is an advantage.
Benefits
- Founder-Level Equity
- Founder-Level Authority
- Co-Decision Rights
Listed skills
- Team building · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Agentic AI Systems
- Large Language Models
- Small Language Models
- LLM Fine-Tuning
- Desktop and Mobile App Development
- Web Scraping
- Data Graph Architecture
- System Architecture
- Cloud Infrastructure
- Data Engineering
- Third-Party Integrations
- Unit Economics
- Guardrails and Reversibility
- Engineering Leadership
- Team Building
- Automotive Retail
Job areas
- Technology
- Software
- Management & Leadership
- Engineering
- Retail
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