AI Operations Lead

About Taktile

Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions — approving more customers, reimbursing claims instantly, and financing every business worth funding.

Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, London, Berlin, São Paulo, and Iași, the company has raised $189M from Goldman Sachs Growth Equity, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com.

About the Role

Taktile builds AI products for the world's most complex decisions and we hold ourselves to the same standard internally. We believe the companies that win the next decade will be the ones that turn AI from a tool into a multiplier - embedded into how every team works.

We're looking for an AI Enablement Lead to make this the reality at Taktile. This is a high-leverage, internal-facing operations role: you won't be building features for our customers, you'll be building the tools, integrations, and workflows that make every Taktilian faster and better at their job.

You'll be the first hire dedicated to this mission, working closely with team leads across the company to identify, build, and scale the AI workflows with the biggest impact. You'll be taking over a program that was set up internally and comes with support for infrastructure and agent-building. You will operate at both strategic and hands-on levels: setting the roadmap and reporting directly to leadership, while also building workflows and running enablement yourself.

Taktile is a hybrid company. This role requires working at least 3 days per week from one of our offices in Berlin, Iasi, or London.

What You'll Do

Strategy & Roadmap

• 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 — stay on the frontier, know when new tools and models release, which ones are worth experimenting with, and bring the best back into the business

• 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

• Define a build vs. buy framework for AI point solutions - assessing, approving, or deprecating tools in close collaboration with our teams

Agentic Workflow Development

• 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. Own scope, design, implementation, rollout, and iteration.

• Evolve AI architecture based on internal customer needs and tangible, measurable improvements.

• Identify, prioritize, and scale automation opportunities across business units, while clearly differentiating what can and should be automated and to what degree vs. what should not (yet)

• 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.

• Build team-level ownership and coordinate a network of AI champions so workflows are maintained without central dependency

Capability Building & governance

• Drive adoption, not just deployment. Run hands-on workshops, pair sessions, and office hours to teach teams how to actually use what you ship. Measure success in real adoption and time saved, not features delivered.

• Partner with Security and IT on governance. Apply least-privilege principles from day one. Build the guardrails, access scoping, and audit trails that let us move fast on AI without exposing customer data or production systems.

What You'll Need

• 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

Our Stack

• AI: Claude

• Programming Language: Python

• Data Platform: AWS, Snowflake, dbt, Terraform

• Internal Tools: Notion, Linear, HubSpot, Gong, Ramp

What We Offer

• Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.

• Make an impact and meaningfully shape an early-stage company.

• Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.

• Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.

• 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 inc