Bespoke generative AI software for enterprise transformation
Fractional AI builds custom generative AI products for enterprises and private equity firms. They bridge the gap from AI experiments to production systems, automating complex workflows to drive efficiency and revenue. Their elite San Francisco engineering teams deliver measurable business impact through end-to-end AI solutions.
Own the customer relationship and drive the development of AI-powered solutions from conception to business impact. This role requires a blend of product management, delivery, and client engagement skills to translate ambiguous business problems into real-world AI products.
As a Talent Partner, you will be responsible for sourcing and closing exceptional G&A talent, owning the candidate experience, and evolving the recruiting process. You will leverage data, AI, and experimentation to refine talent acquisition strategies.
Fractional AI is seeking a Talent Partner to focus on GTM hiring, owning the end-to-end candidate experience, and evolving the recruiting process. The ideal candidate has a track record of hiring top talent in high-growth environments and possesses strong judgment, empathy, and technical fluency.
As a Talent Partner, you will be responsible for sourcing and closing exceptional product talent, owning the candidate experience, and evolving the recruiting process. This role requires strong judgment, empathy, and a data-driven mindset.
Own partnerships and M&A to expand AI services across the transformation lifecycle. Identify, structure, and execute deals while working directly with the CEO.
Embedded in the engineering team, translate complex AI implementation work into respected technical content, community presence, and open source contributions that build Fractional's engineering brand.
Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.
Leads AI due diligence for PE clients, assessing disruption risks and opportunities across industries through research, interviews, and presentations. Requires 5-8 years in strategy consulting or tech sales, strong AI knowledge, and client-facing skills.
Sources and recruits top full-stack engineers for an AI engineering startup through outbound campaigns, events, and data-driven processes. Partners with candidates and hiring managers while building inclusive, AI-augmented recruiting infrastructure with technical fluency in tools like Kubernetes and React.
Leads customer engagements end-to-end for AI solutions, translating business problems into requirements, driving execution with engineering teams, and ensuring adoption and impact. Requires 4-8 years in product/consulting with strong problem-solving and ownership.