Remote (US) · Full-time

Technology
Consultant

Sit across from VPs and CTOs evaluating their SaaS spend. Assess real technology environments, present AI-generated blueprints, and translate findings into business decisions that drive engagements.

About Lynton

Lynton spent 16 years as a HubSpot partner. 2,000+ companies, 50+ industries. We know SaaS from the inside: what it costs, how it locks companies in, where the architecture breaks down.

Two years ago, we saw what was coming. AI didn't just change the feature set. It changed the math. We left the partnership and started building what comes next. Today we help mid-market companies replace legacy SaaS with AI-native infrastructure they actually own.

The role

We need someone who can sit across from a VP of Marketing running HubSpot, or a CTO evaluating their SaaS spend, and have a credible, specific conversation about what a modern technology stack looks like and how to get there.

This isn't a "make decks and philosophize" role. You'll assess real client technology environments, identify where they're overpaying or under-leveraging, and present actionable migration paths. You'll work alongside our CMO to develop opportunities in our existing client base and convert digital product buyers into larger engagements.

The founder is building the frameworks, the assessment tools, and the AI-powered blueprints that generate client recommendations. You'll be the person who takes those outputs, understands them deeply, and translates them into business terms that drive decisions.

What you'll do

  • Partner with the CMO to identify and develop upsell opportunities in our legacy HubSpot client base
  • Run technology discovery sessions and needs assessments for prospects
  • Present AI-generated blueprint findings in business terms: cost savings, risk reduction, operational improvement
  • Develop and deliver the consultative side of our AI Strategy service offering
  • Scope client engagements by translating business requirements into project parameters the engineering team can build against
  • Feed intelligence from client conversations back to the founder to shape products and positioning
  • Build and refine the consulting methodology as we formalize our advisory practice

Who you are

  • 3–5 years in martech consulting, SaaS implementation, solutions consulting, or digital strategy
  • You understand CRM, marketing automation, analytics, and content management from the buyer or implementer side. You've lived inside these ecosystems
  • HubSpot experience is a significant advantage given our client base and history
  • You can have a credible technology conversation without writing code. Architectures, integrations, trade-offs at a level that earns trust
  • Experience scoping, proposing, or delivering consulting engagements, not just contributing to them
  • Strong analytical skills: cost modeling, ROI analysis, building a business case
  • Clear, confident communicator in writing, on calls, and in presentations
  • Comfortable in a small team where you build the process, not follow it

Bonus

  • +Experience with open-source tools, composable architecture, or modern web frameworks
  • +Familiarity with AI tools and how they're changing business operations

What you'll need to understand

You don't need to be an engineer. But you need to be conversant in these areas. We'll get you there.

The SaaS-to-AI shift

Why $2 trillion in SaaS market value has been erased and what that means for mid-market companies

Composable architecture

How modern open-source tools replace monolithic platforms: CRM, analytics, email, CMS

AI-native vs. bolt-on AI

Why architecture matters more than features when it comes to AI capabilities

The Sovereign Stack

Lynton's model for self-hosted, open-source business infrastructure

Why this role

  • Ground floor with credibility. 16 years of enterprise relationships, a legacy client base generating revenue, and a market thesis the numbers are proving right.
  • Shape the practice. No consulting playbook yet. You build the methodology, the assessment frameworks, and the client engagement model.
  • Real advisory work. Help companies navigate a real inflection point in enterprise software, with data, frameworks, and a clear point of view.
  • Direct impact. Small team. No layers. Your recommendations go straight to clients. Your insights go straight to the founder.
Express interest

We're building
the pipeline.

This role isn't our immediate hire, but we're actively building the pipeline for when it is. If you're a strong fit, we want to know you exist before we're racing to fill the seat.

Four questions designed to surface what resumes can't. Specific answers beat polished ones. Generic AI-generated responses won't make it through.

Step 1 of 3

Tell us who you are

The basics. We'll only use this to follow up on your application.

City, state. Remote is fine, just helps us know your timezone

Step 2 of 3

Show us your work

Provide at least one: LinkedIn URL, resume PDF, or both. A portfolio link is optional but helps us see your design taste.

Required if no resume uploaded

Optional if you provided LinkedIn. Max 10MB.

Optional but recommended. Show us what you've built

Step 3 of 3

Tell us how you work

Be specific. Generic answers don't help either of us. A few sentences each is plenty. We're looking for substance, not length.

What was the situation? How did you find it? What did you propose?

Give us a real example. What was the concept and how did you frame it?

We're not looking for buzzwords. Tell us what you actually think.

From discovery through delivery. What was the outcome?

Applications are screened by AI against the role criteria. Real humans review the recommendations.