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Director, Customer Value

Boston

About Rhino

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data through federated computing. The Rhino Federated Computing Platform (Rhino FCP) serves as the ‘data collaboration tech stack’, extending from providing computing resources to data preparation & discoverability, to model development & monitoring - all in a secure, privacy preserving environment. To do this, Rhino FCP offers flexible architecture (multi-cloud and on-prem hardware), end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), privacy enhancing technologies (e.g., differential privacy), and allows for the secure deployment of custom code & 3rd party applications via persistent data pipelines. Rhino is trusted by >60 leading organizations worldwide - including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies - and is leveraging this foundation for financial services, ecommerce, and beyond.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

We’re hiring a strategic, customer-facing leader to drive value realization, expansion, and post-sale growth for our AI/ML platform. You’ll work with enterprise customers across life sciences, financial services, and other regulated industries to turn complex deployments into long-term partnerships.

As Director of Customer Value, you’ll build and lead a team of Deployment Strategists and Customer Success Managers (CSMs). You’ll own the customer roadmap post-sale and serve as the connective tissue between Sales, Product, Delivery, and the customer. This role is about delivering measurable business value — not technical support.


What You’ll Do

🔹 Pre-Sale & Scoping

  • Shape solution strategy and define success criteria with Sales and Product.

  • Co-develop implementation plans and use cases for POCs and deployments.

  • Translate business goals into executable project plans using Rhino’s platform.

🔹 Post-Sale Leadership

  • Own onboarding, roadmapping, and long-term customer engagement across strategic accounts.

  • Lead executive check-ins, QBRs, and value review sessions.

  • Align delivery milestones with customer outcomes and measurable impact.

  • Coordinate with forward-deployed engineers and PMs for successful implementations.

🔹 Strategic Account Growth

  • Identify and qualify new workloads, buying centers, or data domains for expansion.

  • Map customer orgs, activate internal champions, and navigate political blockers.

  • Contribute insights to Product and Marketing to shape roadmap and use case content.

About the Candidate

You’re a strategic operator with a proven ability to turn complex deployments into enterprise growth. You’ve supported AI/ML or data platform deployments, influenced customer strategy, and partnered cross-functionally to deliver business impact.

You bring:

  • 5+ years of experience in roles like Customer Success Manager (Enterprise/Strategic), Engagement Manager, Deployment Strategist, Strategic Consultant, or Post-Sales Engagement Lead — ideally at companies such as Palantir, Databricks, Snowflake, AWS, GCP, Azure, Flatiron, Tempus, IQVIA, McKinsey, or BCG.

  • A strong track record owning customer outcomes in multi-stakeholder enterprise accounts, especially in regulated industries like healthcare, life sciences, or financial services.

  • Experience with data platforms, AI/ML infrastructure, or enterprise SaaS deployments.

  • Business acumen to connect technical capabilities with executive-level goals and KPIs.

  • Confidence leading conversations from whiteboard to QBR — with both technical and non-technical stakeholders.

  • Strong communication, presentation, and relationship management skills.

  • Comfort operating in a fast-moving, ambiguous startup environment.

  • An advanced degree (e.g., MBA, MPH, MS in data science, public health, or a related field) is strongly preferred — especially with focus in regulated industries, enterprise transformation, or data-driven strategy.

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