Solutions Architect - Post Sales
Owns post-sale technical relationships with strategic customers, designing SaaS integrations and driving platform adoption and measurable business outcomes. The role requires strong Python skills, customer-facing delivery experience, and the ability to communicate architecture and value to technical and non-technical stakeholders.
About the job
Responsibilities
- Own the technical relationship with a portfolio of strategic customers, serving as a trusted advisor and ensuring the platform is embedded in customer ecosystems.
- Design and deliver integrations between the platform and customer technologies, including policy administration systems, data warehouses, BI tools, and identity providers.
- Develop value-realization plans that connect technical delivery to measurable business outcomes, such as faster quote turnaround, reduced pricing errors, and stronger management information.
- Build AI-first consulting and delivery artifacts, including reusable frameworks, templates, and innovation outputs.
- Manage delivery scope, surface risks, and coordinate with Customer Success Managers, Delivery Leads, and customer technical teams.
- Share technical patterns and best practices through internal sessions and reusable toolkits.
Requirements
- High-standard Python programming skills.
- Experience supporting technical delivery of SaaS platform integrations in a team environment.
- Experience building positive technical relationships with IT, data, and other stakeholders.
- Ability to explain technical decisions and delivery progress to non-technical stakeholders in outcome-focused terms.
- Experience in a post-sale or customer-facing technical role, such as Junior Solution Architect, Technical Support, or Implementation Analyst.
- Experience using AI or automation tools to improve work quality, speed, or consistency.
- Experience supporting delivery processes, including project planning, risk identification, and team coordination.
Nice to have
- AWS architecture experience.
- SQL experience.
- Foundational computer science or software development knowledge.
Compensation and benefits
- Salary details are shared during initial conversations; no specific salary range is provided.
- Equity is offered across all roles.
- £5,000 training and conference budget.
- 25 days of holiday plus 8 bank holidays.
- Company pension scheme.
- Mental health support and therapy.
- Wellbeing allowance.
- Private healthcare insurance.
- Income protection and life insurance.
- Cycle to Work Scheme.
- Top-spec equipment.
- Remote and in-person hackathons, learning sessions, and social events.
Skills
Python, Saas Integrations, AWS, SQL, AI Automation, Policy Administration Systems, Data Warehouses, Business Intelligence, Identity Providers, Technical Architecture
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