Product Director, Customer Experience & Product Analytics

The Opportunity

Great products are only great if customers know how to unlock them, feel supported when they get stuck, and trust that their feedback shapes what gets built next. At Altana, we're building a platform with no real precedent — one that reimagines how enterprises, logistics providers, and government regulators work together to manage global trade in an AI‑powered collaboration network. That means the customer experience isn't a support function.

It's a competitive advantage.

As a Director of Customer Experience and Product Analytics, you will own how customers experience Altana, from onboarding to deep adoption, across a customer base that spans the F500, small international suppliers, government entities, and logistics providers. Success means building the systems that capture customers feedback continuously and get it in the hands of teams shaping the roadmap; designing onboarding experiences that make customers productive without the hand‑holding of Client Services;

making documentation a scalable natively‑integrated asset that AI agents and customers can use; and designing product telemetry systems to identify where customers get stuck and turn those signals into specific product recommendations.

• Own the End‑to‑End of the Customer Experience Across the Network
  • Define and continuously improve the full customer lifecycle: first touch, sales handoff, onboarding, activation, adoption, expansion, network activation, and renewal.
  • Define the platform and experience for omni‑channel support, AI native support, and the feedback loop of how support makes our customer experiences and product itself better.
  • Identify friction in the customer journey — with data, with empathy, and with ruthless prioritization — and coordinate with other product and engineering teams to eliminate it.
  • Build the rituals and mechanisms that keep Altana's customer experience responsive to a rapidly evolving product, without adding process overhead that slows the team down.
  • Partner with Sales, Customer Success, and Product to ensure every stage of the customer lifecycle is designed intentionally, not inherited by default.
• Build an AI‑First Feedback Engine
  • Design and operate an AI-powered system that continuously synthesizes signals from customer conversations, support tickets, NPS responses, and usage patterns into structured, actionable product intelligence.
  • Replace ad hoc “customer said this” updates with a living, queryable knowledge base that sales, product, and engineering teams can access directly — integrated into the development process, not appended to it.
  • Automate the synthesis of customer feedback into roadmap inputs: surface themes, flag anomalies, and generate prioritized briefs for product teams without requiring manual curation.
  • Champion a culture where customer insight is a first‑class artifact — as trustworthy and retrievable by AI agents as it is by humans.
• Turn Usage Data Into Product Intelligence for Revenue and Network Growth
  • Own the product analytics infrastructure: instrumentation strategy, event taxonomy, dashboard design, and the metrics that actually matter.
  • Identify and manage against KPIs for usage growth and network growth (K factors, TTV, PQLs, etc).
  • Define and track the leading indicators of customer health — activation depth, feature adoption, workflow completion — not just lagging indicators like churn and NPS.
  • Build predictive models that surface at‑risk customers before they escalate and identify expansion opportunities before they're missed.
  • Translate behavioral data into clear, compelling narratives for the executive team — not just charts, but decisions.
• Build and Own the AI‑First Customer Success Operating System
  • Build an in‑product, agentic customer support capability: deliver in‑product, multi‑lingual support agents and own the underpinning knowledge bases, technical documentation, SOPs, and communication/routing infrastructure to enable agentic and human follow‑ups and execution.
  • Arm the Customer Success team with AI‑assisted tooling: automated account summaries, usage anomaly alerts, renewal risk scores, and AI‑generated briefings that let CSMs focus on high‑value…