AI Deployment Strategist

Location 📍 : Sydney (Hybrid - 3 Days In Office)

About Us 🚀 At Relevance AI, we’re building the home of the AI workforce. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you want to define how the world works with AI, join us.

The Role 🥳 We’re hiring a Deployment Strategist to turn high‑value AI use cases into real, measurable outcomes for our customers. You’ll be a strategic thought partner to executives and domain experts, co‑creating adoption roadmaps, shaping scope, and owning end‑to‑end deployment, change, and value realization. You’ll collaborate cross‑functionally with product, solutions engineering, and account teams to ensure agents and use cases are integrated, adopted, and scaled. Your impact💥 Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value. Deeply understand each customer’s domain and business processes to prioritize the most impactful use cases. Frame problems and scope deployments with executives and SMEs; define success metrics and guardrails. Oversee implementation with product, solutions engineering, and account teams to ensure seamless integration and usability. Drive change management: design onboarding materials, train users, monitor adoption, and close feedback loops. Measure and scale value: quantify ROI, refine KPIs, and expand successful use cases across teams or departments. Translate between technical and business language to align C‑suite, domain experts, and builders. Establish operating artifacts: deployment plans, playbooks/runbooks, value trackers, and stakeholder cadences. How we’ll measure success: Revenue: Net Revenue Retention (churn, downsell, upsell) Consumption/ROI: Time vs Value vs Usage per use case Adoption: Weekly active users and depth of use Customer Satisfaction: CSAT and qualitative feedback What We’re Looking For 🧠 Strategic: Business analysis, process design, value mapping, and executive communication. Technical: Familiarity with LLMs/agents; comfort with APIs/integrations and data/analytics concepts. Operational: Agile project management, stakeholder alignment, enablement and training at scale. Interpersonal: Empathy, storytelling, negotiation, and cross‑functional collaboration. Experience: Proven track record deploying AI/automation/data products with measurable impact; partnering with product/engineering and customer‑facing teams. Ownership: Bias to action, structured thinking, and the ability to turn ambiguity into a clear, prioritized plan.