Senior Go-To-Market Engineer

• Be the primary steward of our GTM tech stack (CRM, engagement, analytics) — architect, document, and evolve how the tools fit together
• Maintain integration hygiene and system reliability
• Design, prototype, and scale automation and AI-enabled workflows across demand, pipeline acceleration, expansion, and retention motions
• Build dashboards, attribution frameworks, executive reporting, and pipeline analytics
• Support targeted top of funnel activities by leveraging tools that drive demand generation
• Use customer data to generate foresight and actionable recommendations for closing deals and expanding accounts in a B2B context
• Create data models (scoring, propensity) and translate them into operational workflows
• Promote a data-first mindset in all GTM motions
• Serve as the bridge between commercial teams and technology — help non-technical stakeholders adopt, understand, and extend our GTM systems
• Partner with BD, Finance, and legal to support the systems that track deals, contracts, PO/invoicing, revenue recognition, renewals, and billing flows
• Embed commercial systems into program management and clinical trial delivery — e.g. contract tracking, handoff workflows, reporting flows, coordination between commercial & clinical teams
• Continuously scan for bottlenecks and friction in how we operate
• Own diagnostic sprints, build pilots, and iterate on workflows that drive impact

• 5+ years of experience in RevOps, Growth Ops, Business Operations in a tech company, preferably related to healthcare, clinical trials, diagnostics, or other highly regulated environment and with an enterprise high value sales cycle
• Strong expertise in CRM systems (HubSpot, Salesforce, etc.), including dashboard creation, workflow automation, integrations, and data integrity best practices
• Strong analytical skills – SQL, Python or other scripting / API integration skills, data modeling, interpretation, dashboarding, attribution, forecasting
• Ideally with experience applying AI/LLMs and prompt engineering in commercial operations workflows
• Strong project management and organizational skills, with ability to manage multiple stakeholders, competing priorities, cross-functional initiatives
• Excellent written and verbal communication skills, with a demonstrated ability to translate complex logic for business stakeholders
• Entrepreneurial mindset with a bias toward simplicity, self-starting, self-service, and scalability in process design
• Empathy for stakeholders and colleagues, with a collaborative approach to problem-solving

Experience applying AI/LLMs and prompt engineering in commercial operations workflows

• Equity
• PTO
• Other benefits