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 (e.g. signal-based triggers, account enrichment, proactive play sequencing).
Build dashboards, attribution frameworks, executive reporting, and pipeline analytics. Support targeted top of funnel activities by leveraging tools that drive demand generation, and 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 environments 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.

Senior Go-To-Market Engineer, Revenue Operations Manager

Key skills