VP, AI-Native Ops & Automation, GTM
Listed on 2026-06-04
-
IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Science Manager -
Business
Business Systems/ Tech Analyst, Data Analyst
Algolia is a leading AI search platform empowering businesses with fast, predictive search experiences.
We are creating a new individual contributor executive role: VP, AI‑Native Ops & Automation, GTM. This role will redesign our revenue operating system, embed AI, automation and process intelligence across Sales, Marketing, Customer Success, Revenue Operations and Field Operations globally. The VP will report directly to the CEO and collaborate with executive leaders across GTM and R&D.
YOUR ROLE WILL CONSIST OF:- Assess and redesign core GTM workflows across pipeline generation, forecasting, renewals, customer expansion, and operational planning
- Identify inefficiencies, manual dependencies, and execution bottlenecks across Sales, Marketing, Customer Success, and Revenue Operations
- Define scalable, AI‑native operating models that improve execution quality, forecasting accuracy, and operating leverage
- Apply AI, analytics, and automation capabilities across structured and unstructured GTM data sources
- Develop systems that continuously surface pipeline risks, expansion opportunities, operational anomalies, and forecasting insights
- Partner with Engineering, Product, Data, Info Sec and IT teams to deploy production‑grade AI and automation solutions embedded into daily workflows
- Build and execute a multi‑quarter transformation roadmap aligned to measurable business outcomes
- Partner closely with Revenue Enablement, Sales Enablement, L&D, and GTM leadership to drive adoption of AI‑native workflows and operating practices
- Embed new workflows into forecasting cadences, QBRs, planning processes, onboarding, and executive reporting
- Develop scalable change management and enablement strategies that increase trust, usability, and adoption of AI‑driven systems across GTM teams
- Establish governance frameworks for automation quality, metric consistency, AI oversight, operational accountability and responsible AI usage
- Define KPI frameworks tied to forecast accuracy, pipeline conversion, productivity, customer outcomes and operational efficiency
- Track ROI and business impact of automation and AI adoption initiatives
- Create repeatable methodologies that institutionalize operational excellence across the GTM organization
- Strong systems thinking and a passion for redesigning organizations for scale, velocity, and clarity
- Exceptional communication and influence skills across technical and non‑technical stakeholders
- 15+ years of experience in Revenue Operations, Business Operations, Enterprise Transformation, Consulting, or adjacent leadership roles
- Strong working knowledge of AI/ML applications, automation tooling, data architectures, and modern GTM systems ecosystems
- Demonstrated success leading large‑scale operational transformation initiatives with measurable business impact
- Experience with in high‑growth SaaS, enterprise software, or AI‑native organizations
- Familiarity with enterprise AI tooling ecosystems, forecasting systems, NLP applications, and autonomous workflow tooling
- Experience building operational governance and performance measurement frameworks at scale
- Exposure to enterprise customer motions and complex global GTM organizations
- GRIT – Problem‑solving and perseverance capability in an ever‑changing and growing environment
- TRUST – Willingness to trust our co‑workers and to take ownership
- CANDOR – Ability to receive and give constructive feedback
- CARE – Genuine care about other team members, our clients and the decisions we make as a company
- HUMILITY – Aptitude for learning from others and putting ego aside
All employees are evaluated on an individual basis. Algolia is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).