GTM Engineer

About SanoMission: what we do. The patients in the programmes we support often have no approved treatment and no alternatives in clinical development. Getting the right patient into the right trial, at the right moment, is sometimes the only shot they have. We don't say this to add pressure: we say it because it's true, and because the people who do their best work here are the ones who feel that weight and let it sharpen their focus rather than slow them down.

Purpose: why we do it

Sano Genetics helps pharmaceutical companies developing genetically targeted medicines find, engage, and retain the right patients. We work with some of the largest pharma organisations in the world, running precision programmes that compress clinical trial timelines and reduce enrolment risk. Our deals are consultative, science-led, and rarely straightforward; every proposal is shaped around the sponsor's specific programme, patient population, and regulatory landscape.

Vision: where we’re going

Become the world’s best source of patient-in-the-loop genomic and health data for precision medicine development.

About The Role

Sano Genetics helps pharmaceutical companies turn genetically stratified trials into living, compliant data assets; accelerating enrollment, supporting commercialisation, and compounding portfolio value across programmes. Our work sits at the centre of precision medicine, and the commercial engine you build will directly influence how many partnerships we sign, how many patients we reach, and how many trials we deliver.

Our deals involve multiple stakeholders, long cycles, and consultative proposals shaped around each sponsor’s clinical programme. The commercial team is lean, which means the systems behind it need to be exceptional.

We have invested in a strong tech stack: HubSpot, Gong, Evergrowth, and AirOps. The tools are live and the team is using them daily. What we need is someone who can make them talk to each other and, collectively, make every seller on the team faster and sharper.

This is a UK-based remote position, primarily full-time, with flexibility to accommodate part-time working.

Why this is a great place to do the work

GTM engineering is a discipline that barely existed three years ago. Most companies are still figuring out where it sits. We already know: it is central to how we sell, and the person in this role will have direct influence on how a lean team performs against a revenue target.

You will report to a Director of Sales who already builds n8n automations, engineers prompts in Claude and ChatGPT, and treats AI tooling as part of everyday commercial operations. You are not joining a company that needs convincing. You are joining one that needs someone to take it further.

The expectation is that you push. New integrations, new prompt architectures, new ways to compress the distance between a market signal and a seller acting on it. If something interesting ships on a Tuesday, we want you testing it by Thursday. The team is small enough that the first automation you build will change how someone spends their week.

This is a startup. The role will evolve as the business does, and the scope of what you can influence is wide. We are more interested in someone who grows with the opportunity than someone who needs it mapped out in advance.

What you will own

The mandate is simple: automate the low-value work out of the commercial process so the team can spend more time on the things that close deals.

• Sales enablement and deal acceleration
• Build the automations (n8n, Make, Zapier, native integrations, API connections) that connect Gong, HubSpot, and Evergrowth into a single system: call transcripts enriching deal records, buying signals triggering sequences, structured deal briefs arriving before the seller asks.
• Build intelligent proposal generation workflows: context compression from Gong calls into proposal skeletons, pricing tools, and pre-populated commercial models that reduce prep time from hours to minutes.
• Identify and build automations that improve conversion at every stage of the funnel: better-timed follow-up triggers, automated deal risk flags, stage progression nudges, and lead scoring that combines ICP fit with engagement and intent signals.
• Build the foundations for expansion and retention workflows: QBR prep automation, product usage alerts, and triggers that surface upsell opportunities inside existing accounts.

• Pipeline intelligence and signal architecture
• Own the signal detection layer across the stack. Build systems that monitor real-time buying signals (new programme filings, ClinicalTrials.gov updates, leadership hires, conference registrations) and route enriched, actionable alerts to the right seller at the right time.
• Connect Evergrowth signal monitoring, HubSpot sequences, and Gong insights into a unified architecture where signals flow into action without manual intervention.