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Senior Pre-Sales Engagement Manager
Senior Engagement Manager (Pre-Sales) – Bringing AI to Life
About Fin
Fin is the AI Customer Agent company, driven by a mission to help businesses deliver perfect customer experiences. Our AI Agent Fin is the highest-performing solution on the market, enabling seamless support—from service to sales to ecommerce—through AI-powered automation. With minimal integration and native Intercom integration, Fin transforms customer support operations globally, serving nearly 30,000 businesses.
Founded in 2011, Fin is one of the fastest-growing software companies, blending speed, intensity, and relentless value delivery. Guided by core values, we push boundaries while stayingասolidary and collaborative.
The Opportunity
We’re hiring a Senior Engagement Manager (Pre-Sales) to define the right AI transformation path for customers before contracts are signed. This role is more than "follow-the-playbook" working—you’ll help us build the playbook.
As part of the pre-sales team, you’ll collaborate closely with customers (from Directors to C-level) and the Sales team to clarify goals, tailor deployment strategies, and ensure customers launch fast, see value quickly, and avoid costly rework.
What You’ll Do
Core Responsibilities
- Turn ambiguity into clarity
- Lead services scoping sessions to understand customer pain points, goals, and operational constraints, translating them into a clear deployment strategy.
- Own the service narrative
- Bridge the gap between pre-sales, Sales, and customers to align on statements of work (SOWs), values, and outcome expectations.
- Translate business & technical needs
- Draft precise SOWs, including scope, assumptions, timelines, dependencies, and customer-specific obligations.
- Design scalable AI solutions
- Guide customers in reimagining – not replicating – workflows with AI, ensuring transformations are sustainable and impactful.
- Assess complexity, guide decisions
- Evaluate workspaces, workflows, Fin readiness, migration intricacy, and integrations, distilling insights into actionable SOWs.
- Connect customer impacts with delivery partners
- Collaborate with Product, Engineering, and Customer Success to ensure alignment between promises and deliverables.
- Continuously improve processes
- Contribute to refinements in pre-sales workflows, tooling, and scalable working practices.
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Required Skills & Experience
✅ 3–5 years in consulting, pre-sales, solutions, or customer success
- Proven ability to solve real-world customer challenges and drive successful project outcomes. ✅ Technical & strategic versatility
- Seamlessly navigate deep technical discussions while translating insights for non-technical leadership (C-level engagements). ✅ Mastery of SOW creation
- Consistently deliver accurate, customer-friendly SOWs that support seamless service delivery. ✅ Commercial acumen & revenue collaboration
- Strong commercial instincts and ability to partner with Sales, identify value, and drive deal execution. ✅ Stakeholder & negotiation leadership
- Exemplary communication, negotiation, and project management skills to balance competing priorities. ✅ SaaS + AI + automation expertise
- Deep familiarity with AI applications in workflow automation, scalability, integrations, and change management techniques. ✅ AI engagement and hands-on curiosity
- Not just talking about AI – actively experimenting, hands-on, and capable of teaching others how it reshapes processes. ✅ Critical challenge mindset
- Neither intimidated by nor afraid to question (internal and external) ambiguous or misaligned requirements, seeking clarity and better paths forward.
How Success Is Measured
Metrics of Impact
- Accelerate deal velocity
- Minimize ambiguity in pre-sales scoping to help customers see value pathways faster.
- Expand service adoption
- Elevate perceptions of AI services value, encouraging customers to invest proactively for sustainable transformations.
- Scope for execution efficiency
- Predict and mitigate risks by accurately assessing resourcing needs and customer expectations.
- Drive tangible adoption
- Design services that achieve real-world automation, with Fin actively deployed and measurable KPI implications in production environments.
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Compensation & Benefits
We treat employees exceptionally well with exceptional perks! If you’re considering something not listed here, we’d love to hear about it:
- Competitive salary and equity in a fast-growing startup environment.
- Weekly lunch delivered, daily snacks + fully stocked café.
- Regular compensation reviews celebrating top performers.
- Unlimited access to Claude Code & AI tools – open experimentation is encouraged and celebrated.
- Pension scheme (match up to 4%.)
- Life assurance, alongside comprehensive health and dental insurance for employees and dependants.
- Generous flexible staff leave policy.
- Paid maternity/paternity leave: 26 weeks maternity + shared parental leave, 6 weeks paternity leave for fathers.
- Cycling perks: Cycle-to-Work Scheme with dedicated secure bike storage.
- Laptops: MacBooks standard, with tailored Windows permissions where job-specific tech mandates apply.
Policies
Hybrid Work
Fin adopts a hybrid working model, with an expectation that employees spend at least 3 days in-office per week. This blend balances collaborative in-person interaction while providing flexibility for remote work.
Cultural Foundations
- Radical acceptance—Fin fosters a culture of open-mindedness, avoiding divisive topics to prioritise harmony and inclusivity.
- Communication boundaries – Personal opinions (social or political) external to work are respected; company communications remain neutral.
- Diversity & Inclusion: Fin’s Equal Employment Opportunity policy ensures fair hiring and workplace practices. We commit to zero discrimination on any legally protected basis.
No code-block boundaries or envelope references – output is rendered markdown exclusively.
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