Description
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
We're hiring a Pre-Sales Senior Engagement Manager to shape how we bring Fin to life for customers,before a contract is even signed. You'll work directly with customers and our Sales team to define the right deployment approach so they can launch fast, see value quickly, and avoid painful rework later.
You'll play a critical role in helping customers confidently invest in AI transformation,designing deployment approaches that balance speed, adoption, and long-term value.
This isn't a 'follow the playbook' role. You'll be helping us build the playbook.
Responsibilities
- Lead services scoping with customers (Director to C-level) to understand their support operations, goals, and constraints,and turn that into a clear deployment path forward
- Partner closely with Sales to position services, shape deals, and give customers confidence in how they'll get value from day one
- Translate business and technical requirements into clear Statements of Work (SOWs),including scope, assumptions, exclusions, timelines, dependencies, and customer responsibilities
- Help customers rethink their customer experience using AI,not just replicate old workflows with new tools
- Evaluate deals across dimensions like workspace and workflow design, Fin readiness, migration complexity, and integrations - then translate them into clear Statement of Work (SOWs)
- Connect customer needs with Product, Engineering, and Customer Success,making sure what we sell is what we can deliver (and vice versa)
- Contribute to process improvements, tooling, and scalable ways of working across pre-sales and deployment services
Requirements
- 3–5 years in consulting, pre-sales, solutions, or customer success - you've solved real customer problems before
- You're great at engaging both technical teams and senior executives - seamlessly switching between deep technical detail and high-level business conversation
- Proven track record in creating accurate, customer-ready SOWs that led to successful project delivery
- Strong commercial acumen and ability to partner with Sales to drive revenue
- Excellent stakeholder management, negotiation, and communication skills
- Familiarity with SaaS + AI automation, integrations, and change management best practices
- You're AI-curious and hands-on - you don't just talk about it, you try things and understand how it changes workflows
- You're not afraid to challenge customers (and internal teams) when something doesn't make sense
How Success Is Measured
- Accelerate deal velocity: Reduce friction and eliminate ambiguity in how deployment services are scoped, ensuring customers understand the path to value faster
- Drive services attach and expansion: Help customers see the critical value of investing upfront to get their AI transformation right from day one
- Scope for delivery success: Build solutions that actually work in the real world,protecting delivery margins through accurate resourcing and clear expectations
- Deliver real-world adoption: Ensure your deployment designs lead to meaningful increases in automation, where customers see Fin working in production, not just on paper
Benefits
- Competitive salary and equity in a fast-growing start-up
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
- Regular compensation reviews - we reward great work!
- Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
- Pension scheme & match up to 4%
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
- Flexible paid time off policy
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
- If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too
- MacBooks are our standard, but we also offer Windows for certain roles when needed
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/intercom/jobs/8042500