About Unify:

Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp’s growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Waymo, and LinkedIn .

Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We’re building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they’re looking for a solution.

We've grown revenue 8x year-over-year, and are already serving customers like Guru, Justworks, Together.AI, Flock Safety, Hightouch and more. We’re a high energy, high intensity team and we’ve raised $58M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works.

About the role: At Unify, we leverage AI throughout our platform to enable innovative workflows and to power the next generation of GTM. As an AI Engineer, you will bring new AI products from zero to one and build the AI platform at Unify. You will work on agents, retrieval systems, classification, fine-tuning, reinforcement learning, and LLM inference infrastructure. If you are interested in working on production AI systems and want to build cutting edge AI applications used by the best GTM teams, this role is for you.

What You'll Do:

• Ship novel AI projects and features end to end

• Build and scale AI infrastructure to support production inference

• Develop and improve engineering processes, tools, and systems to scale AI solutions across Unify

• Create novel AI capabilities and push the frontiers of Agents

• Collaborate with frontier labs like OpenAI to test and iterate on features and models before public release

What You Need:

• You have 3+ years of software engineering experience and at least 1 year working in AI

• A track record of delivering full-stack AI projects, particularly those involving production use cases of LLMs and Agents

• You think empirically; running experiments and measuring outcomes drives how you develop AI products

• Experience building backend systems and infrastructure that can support AI-driven products

• You are customer-obsessed, creative and hungry. You have the ability to take high-level business/product ideas to deployed engineering solutions.

About this role:

This a salaried position with a target range of $180,000 - $250,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options). This position is onsite in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment. Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact. You'll be at the center of our fast-paced operations, contributing to a culture that values engagement, growth, and teamwork.