Founding GTM Engineer

Our Company RegASK is an AI-driven solution enabling end-to-end intelligent regulatory workflow orchestration: automating regulatory intelligence with curated content and actionable insights, smart documentation, and a connected community of over 1,700 subject matter experts for streamlined regulatory execution globally. RegASK augments Regulatory Affairs teams, combining AI efficiency and community-driven intelligence to streamline compliance across the product lifecycle. The RegASK team is highly diverse, with more than 10 nationalities across 3 continents, entrepreneurial and very agile. We are currently recruiting highly motivated individuals to expand the team and support our ambitious growth plans. If you are a doer who enjoys working across industries and continents, autonomous in your working style, and eager to problem solve, we would love to hear from you. Position Overview Reporting to the Head of Sales, you will build the AI-native pipeline engine that powers our entire Account Executive team. This is a high-leverage, full-stack role at the intersection of sales, marketing, RevOps, and engineering. You will own the systems and processes that turn market signals into qualified pipeline — and ultimately into revenue. You will sit at the technical core of our go-to-market function, building the infrastructure that enables our AEs to focus on what they do best: closing. This role did not exist three years ago. Today, a technically-minded operator with the right combination of commercial thinking, data fluency, and AI capability can multiply the output of an entire sales team. Responsibilities Build and own the pipeline generation system : Design and operate the end-to-end infrastructure that identifies, qualifies, and routes opportunities to our AE team at scale. Own data quality and coverage : Ensure our target account and contact data is accurate, enriched, and actionable. Build and maintain the processes that keep our CRM a reliable source of truth. Build and optimise outbound programmes : Design and run outbound motions that combine personalisation at scale with strong deliverability. Monitor and continuously improve reply rates and meetings booked. Operationalise lead routing and handoff : Build the workflows that ensure qualified opportunities reach the right AE quickly, with full context, so no momentum is lost between signal and conversation. Build pipeline-attribution reporting : Create dashboards and reports that connect GTM activity to pipeline and revenue outcomes, enabling leadership to make informed decisions on where to invest. Embed AI across the GTM function : Identify and implement AI-powered solutions across prospecting, research, personalisation, and workflow automation. AI should be the default in how this team operates, not an afterthought. Own CRM architecture and hygiene : Maintain our CRM as the single source of truth for the GTM org. Build the data model, automations, and reporting infrastructure the team depends on, and partner with leadership on architecture decisions. Requirements 3+ years in a GTM-adjacent technical role: RevOps, GTM Engineering, Growth Engineering, Sales Engineering, Marketing Ops, or an SDR/AE who built the systems alongside the selling Hands-on experience building GTM workflows and automation using modern tooling; able to design multi-step enrichment logic, API integrations, and custom workflows without engineering support CRM depth: 3+ years hands-on in Salesforce or HubSpot, including flows, custom objects, complex reports, and APIs. Deep understanding of the GTM data model Data and scripting fluency: SQL is comfortable; Python or JavaScript for API calls and data manipulation. Able to build and troubleshoot independently Proven experience managing outbound infrastructure and email deliverability at scale, with a strong understanding of best practices Deep AI fluency: you build with AI tools, not just use them. You have shipped automations where AI is a primary component, can prompt-engineer effectively, evaluate output quality, and design systems that handle AI's failure modes gracefully Commercial thinking: you measure your work in pipeline and revenue impact, not features shipped. Able to contribute meaningfully in GTM leadership discussions and argue the right side of a tradeoff Strong written communication: able to document a system clearly and explain a technical decision to a non-technical stakeholder in plain language Self-directed and autonomous: this role has no template. You build it. Nice-to-Haves Experience in B2B SaaS sold to enterprise, especially in regulated industries (pharma, medtech, life sciences, food, cosmetics, or financial services) Prior experience as the founding or first technical hire on a GTM team Active in GTM Engineering, RevOps, or growth communities Experience with data warehouses, BI tools, and event-driven systems Experience building with agentic AI frameworks What We Offer Impact : Your work compounds across the whole sales organisation. What you build today drives pipeline for the team every quarter going forward. Growth : First-seat ownership, cutting-edge AI, and a culture that invests in learning and career development. Culture : Diverse, agile, and mission-driven team across Canada, US, UK, EU, Singapore, Japan, and beyond. How to Apply If you are excited about this opportunity and believe you have the skills to excel as our Founding GTM Engineer, please submit your resume for consideration. We appreciate all applications, but only selected candidates will be contacted for an interview. Thank you for considering joining the RegASK team. We look forward to reviewing your application!