PRINCIPAL, TECHNOLOGY ENGINEERING

At Adquadrant, we help consumer brands grow profitably by bringing media, creative, and measurement together with AI.

Our model is built on a simple idea: marketing should be managed like growth capital. We focus on contribution margin, not vanity metrics, and design strategies where technology and human expertise work side by side. The result is an operating system for growth that gives brands clarity, efficiency, and creative that actually performs.

Our strongest alliances are with Google and Meta, where we collaborate directly on AI, measurement, and commerce innovation to give our clients first-mover advantage. S. agencies with dual-badged status at TikTok, both as a Marketing Partner and a TikTok Shop Partner, which means our clients gain access to programs and capabilities before they reach the broader market. We also maintain active partnerships with Snap, Pinterest, and other emerging platforms, ensuring brands we work with benefit from priority support, exclusive insights, and opportunities their competitors don’t see.

If you want to architect the future of performance marketing, you belong here.

We’re building an AI-native engineering and product org from scratch — and we want one person to own it. You’ll inherit an existing codebase, lead its migration to a modern stack you help design, and stand up a lean offshore team of senior ICs around you. You’ll own engineering, product, and data science as a single discipline until the team is big enough to specialize.

Architecture, delivery, quality, security, and operations. Not "set strategy and delegate" — you'll write code in the first 90 days, set the bar, and stay close enough to ship.

The transition from fractional to permanent engineering. We've been running on an outsourced senior team that built the v0 well; You'll inherit what they shipped, decide what to keep, what to rewrite, and what to retire — and run that transition without breaking the business depending on it.

A small, senior, mostly-offshore (LATAM-leaning) team of full-stack, data, and ML engineers. Product and data science, until they specialize. You'll own product direction and data/ML strategy as part of this seat. We're not a fintech, but we handle client data and revenue-driving systems. Bar: "won't embarrass us in a security review," not "Google-scale."

10+ years building software, 4+ leading teams

• First or second engineering hire somewhere that grew, OR ran an 8–15 person team through a real scale or transition
• Shipped production AI/ML systems — not demos. You've debugged a RAG pipeline at 2am and you know what evals are actually for
• Managed offshore engineers as peers, not as a cost center. Comfort in commerce, ads, marketplaces, or creator data is a plus, not a requirement; TypeScript, Python, Go all fine. You ship. You've also fired, and learned from it

Not a venture-backed startup with a hypergrowth narrative. Not building AGI. Building useful, high-leverage software for a specific commerce wedge with real data behind it

Not interested in a 30-person engineering org. Equity: meaningful. Excellent medical, dental, vision, and life insurance benefits

• Flexible PTO and Paid Company Holidays
• Performance-based bonus
• $300 annual home office stipend
• $Virtual collaboration through virtual meetings and Slack.
• Use of a laptop (Mac), computer software, and office productivity tools.
• Reasonable accommodations available for qualified individuals with disabilities.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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