Senior Talent Acquisition Lead

MGT Insurance•San Francisco, CA

3d•$150,000 - $200,000

About The Position

About MGT Insurance MGT is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for the brokers and small business owners. By combining the expertise of industry veterans with state-of-the-art technology, we are ushering in the next evolution of commercial insurance and working to move the industry forward through the use of modern technology, better processes, and a rock-star team. We seek visionary leaders who thrive in dynamic, entrepreneurial settings, and excel in autonomous roles. At MGT, we are building an AI-first company. That commitment shapes not only our product, but how we hire, develop, and scale our team. As we grow, we want to build intentionally and design to scale impact. That means structured processes, data-informed decision making, and AI-enabled systems embedded across the talent lifecycle. In close partnership with the Head of People, you will translate vision into disciplined execution. Your primary focus is Talent Acquisition. You will define how we hire for the next decade by building a high-performing hiring engine and embedding AI fluency into role design and assessment. Over time, you will strengthen the broader talent systems that shape how people join, grow, and contribute across the organization. This is a high-impact role for a builder who wants to make talent a durable competitive advantage.

Requirements

8+ years of experience in Talent Acquisition, with demonstrated leadership-level impact in growth or transformation environments.
A track record of designing and scaling structured, skills-based hiring systems that improve quality, speed, fairness, and access.
Expertise in inclusive assessment design and equitable decision-making frameworks that reduce bias and expand opportunity.
Experience embedding data and technology into talent workflows to increase signal, efficiency, and consistency.
Executive presence and the ability to operate as a senior individual contributor, partnering directly with leadership to translate strategy into disciplined execution.
Strong systems thinking. You build processes that scale and evolve over time.
Comfort working in AI-augmented environments and integrating AI thoughtfully and responsibly into people systems.
High ownership, sound judgment, and the ability to influence across teams without formal authority.

Responsibilities

Lead full-cycle hiring across all functions with urgency and rigor.
Translate business priorities into structured, high-quality hiring outcomes.
Design skills-based, bias-aware interview frameworks that scale.
Establish AI fluency as a baseline expectation across all roles, embedding it into job descriptions, hiring rubrics, and assessment criteria.
Embed responsible AI into sourcing, screening, coordination, and evaluation workflows.
Improve pipeline quality, decision signal, and time-to-hire simultaneously.
Design hiring processes that expand access, improve representation, and promote equitable outcomes.
Design and implement onboarding that accelerates productivity, builds clarity, decreases time to productivity and embeds AI fluency from day one.
Operationalize programs that raise domain excellence and AI capability across the organization. Integrate learning into the rhythm of work.
Translate performance frameworks into consistent practice. Support calibration and manager enablement to ensure clarity, fairness, and accountability in execution.
Contribute to the design and maintenance of transparent leveling and growth pathways suited to a flat, high-accountability organization.
Design structured exit processes that protect institutional knowledge, relationships, and brand integrity.
Design and implement AI-enabled workflows within the People function that increase efficiency, consistency, and decision quality while preserving human accountability.
Identify and implement AI workflows that increase throughput and consistency.
Reduce manual effort while preserving human judgment.
Use data to strengthen fairness and decision quality.
Continuously improve systems as the company scales.