Solutions Consultant (B2B SaaS)

Salary: 50 000 - 70 000 + 10 000 OTE

Industry: B2B SaaS

Contract: full time

LOCATION: London, 3 days Office| 2 WFH

Information on the company

Finding suitable sales prospects is hard, really hard. Too often, sales teams lose valuable time chasing and disqualifying leads that were never relevant in the first place. This leads to frustrated sales teams, wasted effort,  unnecessary cost and businesses growing more slowly.

A more effective approach is to identify potential customers systematically, using clear qualification criteria from the outset. By building a tailored dataset aligned to a company’s specific requirements, only relevant accounts are surfaced and enriched with meaningful, decision-ready information. With a clearly mapped market, teams can better prioritise outreach, allocate leads intelligently, and tailor messaging to what prospects actually care about. Leading to high performing motivated teams and growing businesses. 

Our client  is GTM passionate, data led and a team of exceptionally high performers. Being led by serial successful B2B SAAS entrepreneurs and having recently raised their Series A they are ready to supercharge their growth.

ABOUT THE ROLE…

You will… 

  • Play a key role across both pre- and post-sales engagements, supporting customers in understanding, implementing, and maximising the value of the platform.

  • Work closely with commercial teams across a variety of growing B2B organisations, translating business objectives into clear data requirements and advising on how best to apply the platform within revenue and go-to-market strategies.

  • Due to your close interaction with prospects and customers, you will also act as a conduit between commercial and product teams sharing insights, surfacing feedback, and helping inform future product development.

WHAT YOU’LL DO

Pre-Sales

  • Run discovery sessions to translate prospect requirements into tailored datasets

  • Define qualification criteria, relevant data points, and data sources

  • Build example datasets to support demonstrations and evaluations

Data & Insight

  • Analyse customer data within the platform

  • Explain how qualification logic and target account definitions are created

  • Educate customers on how target markets are mapped and prioritised

Onboarding & Enablement

  • Support onboarding alongside account teams

  • Validate target markets and data enrichment aligned to go-to-market plans

  • Assist with integrations into existing tools such as CRMs, outreach platforms, and data warehouses

Customer Support

  • Act as a primary point of contact for ongoing questions

  • Support dataset refinement and evolving use cases

  • Educate customers on broader product capabilities

Internal Collaboration

  • Represent customer feedback internally

  • Partner with product and engineering teams to inform improvements

  • Contribute to documentation and best-practice materials

The ideal candidate…

  • Experience in Solutions Consulting, Sales Engineering, or similar roles within SaaS or data-led businesses

  • Strong interest in go-to-market strategy and revenue operations

  • Comfortable working with data, spreadsheets, and structured datasets

  • Familiarity with common commercial tooling (e.g. CRM and sales platforms)

  • Curious, improvement-focused, and comfortable working cross-functionally

Why work here?

  • Previously successful B2B founders & serial successful startup CRO

  • Working in a fast paced high calibre B2B SaaS business

  • Collaborative, product-led environment

  • Quarterly offsites and annual party

  • Private healthcare, gym membership, team events

Interview process

  • Initial conversation with the hiring team: Introductions and overview of the role and expectations (Video 30 minutes)

  • In-depth interview with a senior commercial leader: Discussion of experience, motivation and alignment with the role (Video 30 minutes)

  • Take-home exercise review: Presentation and walkthrough of the proposed approach, followed by discussion (Video 60 minutes)

  • Team introduction: Informal conversation with prospective colleagues (Office 30 minutes)