🧬 About Sano

Mission: 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

👉 Curious to dive deeper? Read more about what we do here

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 transfer.

• A new BDM joins in Q2. Build the systems that accelerate their ramp: Evergrowth configured for daily ICP signal monitoring, documented sequence templates ready to deploy, and Gong coaching infrastructure with call scoring live from their first call.

Revenue intelligence

• Build smart trackers and keyword analysis in Gong to surface what customers are actually talking about, which themes resonate, and where the commercial narrative diverges from the market.

• Feed competitive intelligence and product-market-fit analysis back to leadership: automated competitor mention tracking across calls, structured theme extraction, and evidence-based briefs that separate GTM problems from product gaps.

• Curate Gong call libraries for returning and new team members to compress ramp time in a specialist scientific market.

Content infrastructure and AI visibility

• Own AirOps from day one. Configure workflows and prompt chains to repurpose our existing content library (230+ podcast episodes, whitepapers, case studies) into blog posts, LinkedIn content, sales one-pagers, and account-specific materials.

• Own prompt engineering across the stack, continuously refining the instructions behind Evergrowth targeting, AirOps content generation, and any LLM-powered workflow the team relies on.

• Own the technical layer of Generative Engine Optimisation: structure content so that AI search platforms (ChatGPT, Perplexity, Google AI Overviews) cite Sano when buyers research precision medicine trial partners. Identify gaps, optimise for AI readability, and ensure the brand shows up where early-stage vendor discovery now happens.

Stack governance

• Audit current tool usage against what is possible. Close gaps with measurable productivity improvements. If a tool is not delivering ROI, make the call to cut it or make it work harder.

• Pipeline reporting, quota analytics, and forecast modelling sit with the Director of Sales and VP of Commercial. You build the infrastructure underneath those processes.

This job is for you if you:

• You have built multi-step automations that connect commercial tools end to end. Not configured a single integration; built workflows where data moves between systems, triggers actions, and produces outputs without anyone touching it. You can show us examples.

• You are fluent in platforms like n8n, Zapier, or Make. You think in workflows and outcomes, not feature lists. Your instinct when you do something twice is to automate it before the third time.

• You treat prompt engineering seriously. You have iterated on prompts until the output was genuinely good, not passable. You understand that the gap between a mediocre AI output and a sharp one lives entirely in the instructions, and you enjoy closing that gap.

• You have worked with revenue or marketing tools in a B2B context and understand why the data matters. Deal stages, contact hygiene, pipeline integrity; not abstract concepts to you.

• You work across functions without being managed into each conversation. You see friction, you prioritise it, you start building.

• You are biased toward action. The stack is live and the team is selling now. Ship on Monday. Improve on Wednesday. Repeat.

Even better if you have:

• You have worked in life sciences, pharma, healthtech, or another complex B2B enterprise market with long sales cycles and multi-stakeholder deals.

• You have hands-on experience with Gong, HubSpot, or Evergrowth specifically.

• You have built or deployed AI agents (using Claude, custom GPTs, MCP-connected workflows, or similar) to automate research, account intelligence, or outreach preparation. Not just used AI conversationally; built systems that run autonomously with human oversight.

• You have stood up an AI content platform, owned its ROI, and know what it takes to get from configuration to consistent quality output.

• Your career started in a commercial role: prospecting, selling, or marketing execution. You understand what sellers need because you have done some version of the work yourself.

This role is unlikely to be a great match if:

• You design systems on paper and hand them to someone else to build. Here, you own the full lifecycle.

• Your AI experience is conversational. This role requires engineering AI into automated workflows: structured prompts, systematic output testing, integration into live pipelines.

• You need sequential task lists to operate. The brief is the pain; the system is yours to design.
  

Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work-related, tell us about your journey, and about what you learnt.

So, if this role excites you, don't let our role description hold you back, get applying!

🔍 Hiring Process

Stage 1: Intro call (30 min, video) A conversation with the Director of Sales. Expect to walk through a real automation you have built: the tools, the logic, what broke, and the commercial impact. There will also be time to ask questions about Sano, the role, and the team.

What we want to see: Evidence that you build, not just configure. A real example with specifics, not a general description of capabilities. Some instinct for why the automation mattered commercially, not just technically. Genuine curiosity about the role.

Stage 2: Take-home task (async, 2-3 hours) A realistic design challenge based on a real Sano workflow. You will be given a scenario where a seller has just completed a discovery call and the entire post-call process is manual. Your job is to design a system that automates it. You will submit a workflow diagram, one example prompt at the most critical AI step, and a short written note (max 500 words) on what to build first and why. Full brief provided after Stage 1.

What we want to see: A workflow that would actually work, not a theoretical architecture. A prompt that shows craft, not a generic instruction. Judgement on what matters most and what can wait. Clear thinking, clearly communicated.

Stage 3: Panel conversation (45 min, video) A conversation with the Director of Sales, Director of Marketing, and VP of Commercial. The first section walks through the take-home: design choices, trade-offs, what you would change with more time. The remaining two sections are scenario-based discussion. Each section is a dialogue; there is space for questions throughout.

What we want to see: Depth behind the take-home submission. The ability to think about content production as a system, not a task list. An instinct for what a seller actually needs when a deal is stuck. Someone all three interviewers would want to work with.

Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. All interviews at Sano take place virtually. Please let us know if we can help make a virtual interview run smoother for you.

🛑 Please note:

We can only accept applications from those eligible to live and work in the UK or in the USA (for specific roles). We are unable to sponsor visas for this position.

🌈 Diversity, Equity, Inclusion and Belonging

At Sano, we're committed to creating an environment that promotes diversity, equity, inclusion and belonging. We are a global community and we believe our unique qualities should be celebrated as they are critical to our innovation. It's essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn't just an initiative at Sano. We strive to embed it not just into our values but throughout our entire culture.