Executive Operating Partner, AI Strategy & Delivery

Isomorphic Labs; London (KY); Hybrid; USD 201,000 - 282,000; Full time

Benefits offered by this job

Hybrid working model

Collaborative culture

Job summary

Isomorphic Labs is seeking an Operating Partner to drive high-impact initiatives across the organization, partnering with the VPs of AI and cross-functional leaders. You will influence strategic direction, accelerate progress, and ensure flawless execution of critical programs.

Join a compact, agile team focused on operational excellence and rapid impact. The role emphasizes translating complex AI topics for executives and scaling initiatives with a lean, high-performing approach.

Qualifications

• Proven track record of partnering with senior executives (C-Suite, VP-level).
• Ability to translate complex topics into executive-ready communication.
• Strong execution skills in ambiguous, multi-faced problems.

Responsibilities

• Advise and soundboard on strategic initiatives with senior leaders.
• Distinguish critical priorities and establish clear ownership across teams.
• Prepare and present proposals to stakeholders and drive execution.
• Build cross-functional relationships to understand the organization and drive alignment.
• Translate complex technical developments into clear executive summaries and presentations.
• Identify blockers, optimize for lean operations, and scale initiatives efficiently.

Skills

Executive Partnership

Strategic Soundboard

Cross-Functional Influence

Complex Execution

Agility & Low-Ego

Job description

Isomorphic Labs is seeking an Operating Partner to drive high-impact initiatives across the organization, partnering with the VPs of AI and cross-functional leaders. You will influence strategic direction, accelerate progress, and ensure flawless execution of critical programs.

Join a compact, agile team focused on operational excellence and rapid impact. The role emphasizes translating complex AI topics for executives and scaling initiatives with a lean, high-performing approach.