Business Value Consultant

What You’ll Do

Across the customer journey

• Own Lovable’s value methodology end to end: a standard value hypothesis by persona and use case, a defensible ROI/TCO model, a success-plan template, and a realized-value reporting standard, so the numbers a customer sees in the sales cycle are the same ones they’re measured against at renewal

• Pre-sale, partner with Account Executives and Solutions Architects on our largest opportunities to lead value discovery, quantify current-state cost and opportunity, and build the business case that gets the deal through the economic buyer

• At handoff, turn the business case into a success plan with Customer Success: the agreed metrics, the baseline, and the review cadence

• Post-sale, work with Customer Success to measure outcomes and present realized value to executive sponsors at business reviews and renewals

• In our most strategic accounts, work with the Head of Transformation to build the enterprise-wide case: the operating model, the adoption roadmap, and the board-level narrative that takes Lovable from one team’s tool to how the company builds software

Scaled tooling

• Build and maintain the value toolkit the whole Revenue team uses: a self-serve ROI calculator, discovery guides, business-case and success-plan templates, and a realized-value dashboard, built in Lovable wherever possible

• Build and own the customer proof library: reference metrics, case studies with real numbers, and industry benchmarks, kept current as the customer base grows

• Enable Account Executives, Solutions Architects, and Customer Success Managers to run value conversations themselves, reserving your direct involvement for the largest and most complex accounts

• Instrument the toolkit to see which value drivers close deals, which success metrics predict renewal, and where the methodology needs to change

• Turn the frameworks, methods, and assets that win and retain deals into reusable playbooks any GTM team, in any region, can run on their own

1:1 engagements

• Lead value discovery workshops and executive business-case reviews in strategic and enterprise deals

• Run realized-value reviews with executive sponsors in our top accounts ahead of renewal and expansion

• Partner with the Head of Transformation on a small number of enterprise transformation programs, owning the quantification and executive reporting

• Feed what you learn back to Product, Pricing, and Marketing: which value drivers matter, where packaging helps or hurts the case, and how customers measure success

What We’re Looking For

• 6+ years in value consulting, value engineering, management consulting, or a strategy or finance role supporting enterprise SaaS, with direct involvement in deals of $500K+ ACV and the post-sale relationships that followed

• A track record of building business cases and ROI/TCO models that executive buyers used to justify a purchase, and of defending those models under scrutiny from finance and procurement

• Experience measuring realized value after go-live: defining success metrics with a customer, instrumenting them, and presenting results to an executive sponsor at a renewal or business review

• Fluency in how enterprises account for software, internal engineering capacity, and vendor spend: cost of delay, fully loaded developer cost, opportunity cost of backlog, build-vs-buy, and consumption-based pricing

• Comfort working across the full customer lifecycle and across functions. You can hold your own with a sales leader on deal strategy, a CSM on adoption risk, and a transformation lead on change management, and you know where each hands off to the next

• A systems builder as much as a consultant: you’ve productized your own work (calculators, applications, dashboards, enablement) so others could run it without you

• Strong executive presence: you can run a value discovery workshop with a VP of Engineering in the morning and present a CFO-ready summary the same afternoon

• Analytical rigor paired with commercial judgment: you know which assumptions matter, how to source them from the customer, and when a model is good enough to move a decision

• Fluency with AI tools in your daily workflow, and the curiosity to build in Lovable yourself so your value claims are grounded in what the product does

• Preferred: experience quantifying value for developer tools, low-code or no-code platforms, AI platforms, or internal-tooling categories