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Hubspot Implementation Specialist

Job in Reading, Berkshire, RG1, England, UK
Listing for: Blend Marketing Ltd.
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    IT Consultant, IT Business Analyst, Data Engineering, Systems Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 100000 GBP Yearly GBP 70000.00 100000.00 YEAR
Job Description & How to Apply Below

Blend is a B2B growth engineering company and Hub Spot Diamond Partner. For over 15 years, we’ve helped mid-market B2B technology companies engineer predictable growth. Our team of 45+ specialists across the UK and US delivers GTM strategy, Hub Spot architecture, demand generation and operational implementation - work that spans the full revenue lifecycle from first touch to expansion.

The role

You’ll lead Hub Spot solutions design and implementation for Blend’s clients. That means running discovery, turning business requirements into system architecture, directing the build across Hub Spot’s Hubs and AI tools, and seeing it through testing, training and adoption.

This isn’t a configuration role. You’ll start with the business problem and design the system to meet it: data models, automation architecture, pipeline design, integrations. You’ll personally handle some of the most technically complex parts of the build - custom-coded actions, UI extensions, agent configurations - while directing and quality-assuring the build and development work done by the wider team. Then you’ll make sure the client can operate it.

You’ll be the primary technical authority on your engagements: the person clients trust to understand their operations and design a system that works. You’ll assist scoping work before it’s sold, own quality through delivery, and hand over systems with the training and documentation that set them up to be used.

What you’ll do

Solutions discovery and design

You’ll lead discovery with clients to understand their current operations, map their processes, and identify where Hub Spot solves real problems. You’ll produce solution designs: data model, pipeline and lifecycle architecture, process flows, automation logic, and integration requirements - documents a non-technical stakeholder can follow and a technical colleague can build from.

Build and implementation

You’ll personally handle the work that needs senior technical judgement: custom-coded actions, programmable automation, custom UI extensions, API integration specs, and agent configurations. For standard configuration - properties, lists, forms, basic workflows, routine reporting — you’ll brief the team, review their work, and make sure it holds together as one coherent system built to your design.

Across both, you’ll make sound architectural decisions: when to use native features, when to extend with code, and when to integrate with external systems. Data integrity runs through everything. You’ll design clean data structures and enforce the standards that keep the platform trustworthy as it scales.

Testing, enablement and adoption

You own quality from design through go-live. You’ll generate the test plan against the solutions design, run QA, and review the team’s results. You’ll facilitate client UAT, triage and resolve defects, and manage go-live readiness. Post-launch, you’ll oversee and support client training and build enablement materials that support adoption - walkthroughs, reference docs, recorded sessions.

Client communication

You’ll be the primary technical contact on implementation engagements. You’ll run kick-offs, discovery workshops, working sessions, status calls and some training sessions. You’ll present technical solutions to non-technical stakeholders clearly and credibly, manage expectations on scope and timeline, and navigate the conversations that come up when requirements shift mid-project.

Supporting colleagues

You’ll brief team members on the build, review their work against your design, and help them get better at what they do. That means sharing useful patterns, catching mistakes early, and explaining the reasoning behind architectural decisions so people learn from the work, not just execute it. This isn’t…

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