Altana

ProductDirector,CustomerExperience&ProductAnalytics

$220–310k ~AI est. Brooklyn, New York, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Product Director, Customer Experience & Product Analytics at Altana. Skills: Customer Experience, Product Analytics, AI Systems. Own customer experience across network. Improve customer lifecycle”

What You'll Achieve.

Make customers productive; Make documentation scalable; Turn signals into recommendations; Improve customer experiences; Improve product; Ensure customer lifecycle is designed; Replace ad hoc updates; Automate feedback synthesis; Surface themes; Flag anomalies; Generate prioritized briefs; Surface at-risk customers; Identify expansion opportunities; Translate data into decisions; Focus CSMs on high-value conversations; Drive adoption of product changes

Industry & Context.

Problems you'll solve

Identify friction; Eliminate friction; Root cause analysis

What They're Looking For.

Must Have

5+ years customer experience, 5+ years product analytics, Experience building systems for customer feedback, Experience designing onboarding experiences, Experience making documentation scalable, Experience designing product telemetry systems, Experience with AI agents, Experience with customer lifecycle, Experience with omni-channel support, Experience with AI native support, Experience with customer journey friction, Experience with AI-powered feedback engine, Experience with customer conversations, Experience with support tickets, Experience with NPS responses, Experience with usage patterns, Experience with product analytics infrastructure, Experience with instrumentation strategy, Experience with event taxonomy, Experience with dashboard design, Experience with usage growth KPIs, Experience with network growth KPIs, Experience with customer health indicators, Experience with predictive models, Experience with AI-First Customer Success OS, Experience with in-product customer support, Experience with multi-lingual support agents, Experience with AI-assisted tooling, Experience with automated account summaries, Experience with usage anomaly alerts, Experience with renewal risk scores, Experience with AI-generated briefings, Experience with 1:many engagement programs, Experience with personalized product guidance, Experience with release updates, Experience with educational content, Experience with product change communication, Experience with tooling stack integration, Experience with customer adoption data, Experience with product planning, Experience with feedback loop systems

What You'll Do.

Own customer experience across network

Improve customer lifecycle

Define platform for omni-channel support

Identify friction in customer journey

Coordinate to eliminate friction

Build mechanisms for responsive customer experience

Partner to design customer lifecycle stages

Build AI-powered feedback engine

Operate AI system for customer feedback

Synthesize feedback into product intelligence

Replace ad hoc updates with knowledge base

Automate feedback synthesis into roadmap inputs

Surface themes from feedback

Flag anomalies in feedback

Generate prioritized briefs for product teams

Champion customer insight culture

Own product analytics infrastructure

Define and track KPIs

Define leading indicators of customer health

Build predictive models for at-risk customers

Identify expansion opportunities

Translate behavioral data into narratives

Build AI-First Customer Success OS

Build in-product agentic customer support

Deliver multi-lingual support agents

Own underpinning knowledge bases

Arm Customer Success team with AI tooling

Provide automated account summaries

Provide usage anomaly alerts

Provide renewal risk scores

Provide AI-generated briefings

Coordinate engagement programs

Deliver personalized product guidance

Deliver release updates

Deliver educational content

Reinvent product change communication

Transform release notes

Own tooling stack integration

Build structures for customer voice access

Build feedback loop for customer adoption

Inform sprints with customer adoption data

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Partner with Sales; Partner with Customer Success; Partner with Product; Partner with Engineering

Communication Scope

Executive presentations; Customer narratives

Process & Methodology

Roadmap planning

Full Job Description

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. 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’ll 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 assets 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. This role sits at the intersection of product, customer success, and engineering — and you will be the connective tissue between all three. What You'll Do 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

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