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About This RoleAI processing…
Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Key Responsibilities
- 1Lead and grow a high-performing engineering team based primarily in Berlin, with members across our European offices.
- 2Incubate and deliver AI products from ideation through to success, leveraging backtests, evals and A/B tests to inform what ships.
- 3Contribute directly to our production systems so you keep first-hand context.
- 4Own operational health for your workstreams: SLOs, alarms, and proactive management of our most critical systems.
- 5Plan, prioritise and deliver best-in-class AI products with your most senior engineers, ML Scientists, PMs and AI Designers.
- 6Make AI-first the team default. Build shared skills, agents, and automations that raise the bar for the team’s output and ambition.
- 7Hire and onboard great engineers, and help them build the Berlin office.
Requirements
- Strong prior experience as an engineer, with recent hands-on technical contributions.
- Strong technical judgement, and the ability to coach senior engineers through complex architecture and product trade-offs.
- Strong product sense: you can weigh AI product opportunities and decide what matters most.
- A data-driven approach: you use experiments and metrics to make decisions.
- Strong ownership of production quality and reliability.
- An adaptable leadership style for a group and environment that will grow fast and change shape.
- Experience leading engineering teams that build and operate generative AI systems in production.
- Experience with AI evaluation, backtesting or experiment design at scale.
- Experience managing AI costs and how product choices affect it.
- Experience in a hands-on EM role, or alternating between EM and IC roles.
- Experience helping build or grow a new engineering site.
Perks & Benefits
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