Jobs at Avetta

Lead end-to-end technical implementation projects with emphasis on SSO (SAML, OIDC) and API integrations. Gather requirements, manage scope/timeline, provide technical advisory to customers and internal teams, coordinate cross-functional stakeholders, standardize processes, and support go-live and reporting.

Lead global revenue enablement initiatives, own Highspot LMS/CMS strategy and governance, create engaging learning experiences, support product launches and onboarding, measure program effectiveness, and partner cross-functionally to improve seller readiness and go-to-market execution.

Respond to inbound leads via phone, email, LinkedIn and other channels; qualify opportunities using sales frameworks; schedule meetings for Account Executives; maintain CRM records; collaborate with Marketing on lead quality; meet activity and pipeline targets; research accounts and participate in ongoing sales training.

Handle inbound leads by qualifying prospects, engaging via phone/email/LinkedIn, scheduling meetings for Account Executives, maintaining CRM records, collaborating with Marketing, and meeting activity and pipeline targets.

Respond to inbound leads, qualify prospects using sales frameworks, engage via phone/email/LinkedIn, schedule meetings for AEs, maintain CRM records, collaborate with marketing, and meet pipeline and activity targets.

Serve as a client-facing analytics subject matter expert: scope projects, define future-state visions, produce high-quality reports and dashboards, identify and fix data issues, drive data stewardship and process improvements, standardize and scale analytics services, mentor onboarding talent, and promote analytics through storytelling and cross-team collaboration.

Lead discovery, definition, and delivery of B2B SaaS product features. Own customer research, data-driven prioritization, UX collaboration, KPI tracking, and cross-functional execution with engineering, marketing, and customer success.

Own strategy, roadmap, and execution for client-facing analytics and AI insights. Deliver dashboards, reports, and conversational NLQ analytics. Partner with data engineering, data science, and platform teams to shape semantic models and LLM-backed analytics. Drive adoption with Sales, Customer Success, and Implementation teams and use AI tools to accelerate product work.