HubSpot CRM Consultant; Delivery Lead

Karman Digital is a UK-based Hub Spot consultancy specialising in CRM, Rev Ops, integrations and web. We help professional services and regulated firms get more value from Hub Spot by designing for humans first - adoption, trust in data, and behaviour change
-not just platform configuration.

We work in short cycles, stay close to clients, and aim for visible progress early. Clear ownership, simple standards, and pragmatic decision-making matter here.

You’ll do two jobs, properly:

Hub Spot CRM Consultant - design and improve the CRM so it supports how teams work day-to-day.

Delivery Lead - run delivery on your client accounts: keep priorities clean, outcomes clear, risks visible early, and momentum steady.

You’ll thrive in this role if you:

Take ownership of outcomes (not just tasks) and close loops without being chased

Ask “why?” early, test assumptions, and simplify the problem

Keep momentum without dropping the quality bar

Are comfortable leading clients through prioritisation, trade-offs, and change

Bring people with you - clients and teammates - without needing to be the loudest voice

This is consultancy-first: you’ll challenge assumptions, simplify complexity, and make sensible trade-offs. There’s scope to grow into senior consulting, Rev Ops leadership.

Clients describe delivery as calm, clear, and confidence-building.

Adoption increases because the system is simple, believable, and fits how people work.

Data quality improves and stays improved (definitions, governance, and habits stick).

Reporting becomes something leaders use in decision-making - not a dashboard graveyard.

Work ships incrementally, with usable progress early - no big-bang launches.

Lead the delivery cadence for your client accounts (planning, weekly rhythm, review, retros).

Keep scope honest and priorities clean; when new asks appear, you surface options and trade-offs.

Make risk visible early, then manage it actively (context, options, recommendation).

Maintain a high quality bar using simple, visible standards (definition of done, peer checks, acceptance criteria).

Keep delivery tooling usable (clear owners, decisions written down, dependencies called out).

Define clear milestones with the client early (what “done” means, what decisions are needed, and what changes for users).

Plan and deliver against milestones: keep dependencies visible, manage scope within the milestone guardrails, and make progress easy to see.

• Use milestones to anchor stakeholder comms: what we’ve achieved, what’s next, what’s at risk, and what we need from them.

Hands-on build and optimisation in Hub Spot: you’ll configure, test, iterate, and improve the portal in line with agreed outcomes and milestones.

Diagnose what’s really driving issues: adoption friction, unclear process, weak definitions, poor data trust.

Design and configure Hub Spot CRM in a way that supports real behaviour:

lifecycle stages and pipelines that reflect reality

objects/properties that are minimal, meaningful, and governable

workflows/automation that remove admin rather than add steps

reporting that leaders trust because definitions are consistent

Translate goals into clear user stories and acceptance criteria that the team can ship confidently.

Support stakeholder alignment across marketing, sales and service where needed.

Design for adoption from the start: interactive releases, feedback loops, and “what changes for who?” made explicit.

Run practical enablement sessions based on real scenarios (not platform tours).

Create lightweight documentation and handover materials that prevent “super-user dependency”.

AI is a core part of how we work, but it’s a human enhancer, not the decision-maker. The consultant leads, applies judgement, and stays accountable for outcomes.

Use AI throughout discovery and delivery to improve speed of learning, quality of thinking, and consistency of execution.

Turn messy inputs (calls, emails, notes, data exports) into clear outputs: diagnostic summaries, options, decisions, risks, and next actions.

Use AI to strengthen quality: peer review of…