AI Operations Lead

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🕒 June 26

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Stena Center for Financial Technology

WebsiteLinkedInAll Job Openings

1 - 10 employees

💳 Fintech

📚 Education

🤝 B2B

Fintech • Education • B2B

Stena Center for Financial Technology is an interdisciplinary center at the University of Utah that accelerates financial innovation and inclusion through collaboration between education and industry. It offers students, faculty, and industry partners opportunities for workshops, labs, research, and an annual conference, all aimed at fostering advancements in fintech. The center is backed by the Stena Foundation and focuses on applied learning, knowledge sharing, and entrepreneurship within the fintech ecosystem, preparing students for careers in a rapidly evolving financial services landscape.

📋 Description

• Define and own Taktile's internal AI roadmap, prioritize use cases across Go-to-market, Operations, and G&A • Track market trends, peer practices, regulatory evolution, and emerging tools • Continuously evaluate and improve our setup to maximize adoption and improve efficiency of our teams • Report to leadership on progress, AI adoption, and program ROI • Set the internal standard for "production-ready" AI workflows and act as the escalation point and quality bar for everything our teams ship • Build internal tools and agents end-to-end that wire Taktile's SaaS stack (HubSpot, Notion, Linear, Gong) into our engineers' and operators' daily workflows. • Evolve AI architecture based on internal customer needs and tangible, measurable improvements. • Find the highest-leverage workflows. Embed with teams across Engineering, GTM, Customer Success, Finance, and Operations to identify where AI can remove the most friction. • Drive adoption, not just deployment. Run hands-on workshops, pair sessions, and office hours to teach teams how to actually use what you ship.

🎯 Requirements

• 5+ years in consulting, operations, or a similar cross-functional senior role • Ability to write and review production-grade Python and SQL - preferably with a strong technical background - e.g., Data Science • Technical deployment experience + hands-on experience building with modern LLM tooling - agent frameworks, tool use, prompt engineering, MCP, evals • Enough technical depth to converse about LLM pipelines, agentic workflows, and integrations • Excellence breaking down complex problems and making quick, well-informed decisions even under pressure • Strong program management skills across complex, multi-stakeholder environments • Fluent English, both written and spoken. Strong written and verbal communication skills from leadership reporting to internal playbooks - with both technical and non-technical operators alike.

🏖️ Benefits

• Work with colleagues that lift you up, challenge you, celebrate you and help you grow. • Make an impact and meaningfully shape an early-stage company. • Experience a truly flat hierarchy and communicate directly with founding team members. • Learn from experienced mentors and achieve tremendous personal and professional growth. • Receive a top-of-market equity and cash compensation package. • Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. • Use the equipment of your choice including meaningful home office set-up.