Leads technical wins for a customer data platform by shaping ROI-focused demos, workshops, PoCs, and solution scope, translating customer needs into proposals that advance software sales.
Treasure Data
Customer Data Platforms · Marketing Technology · Enterprise AI · Mountain View, USA
Treasure AI is the business name of Treasure Data, Inc., a Delaware corporation headquartered in Santa Clara County, California; Treasure Data adopted the Treasure AI brand in April 2026. Its Agentic Experience Platform combines an Intelligent Customer Data Platform with AI agents, decisioning, journey orchestration and activation, used by marketing, data and IT teams to unify customer profiles and run personalized campaigns.
It prices annual Intelligent CDP subscriptions by customer profiles or behavioral events, sells fixed annual licenses per AI Suite, and charges usage-based credits for real-time AI features and Treasure AI Studio conversations. The company says it has served over 400 enterprise customers since 2011, has more than 550 employees, and has offices in Mountain View, New York and Tokyo.
- Salary range
- ¥4M – ¥15M
- Median
- ¥12M – ¥15M
- Can be worked in English
- 7%
- Remote or hybrid
- 7%
- Most requested
- Common areas
- Consulting & strategy 5
- Sales 4
- Backend engineering 2
- Business development 2
Measured from the 14 listings Ranked has live for Treasure Data. Japanese level, visa signal and skills are AI-graded from each posting and can be wrong — confirm against the employer's original posting before applying.
14
open positions at Treasure Data
1
Develop customer and internal training for Treasure AI’s CDP and AI solutions, creating curricula, workshops and learning materials with sales, customer success and professional services.
Develop B2B sales pipeline through targeted prospecting, tailored outreach, inbound lead screening, discovery meetings, and CRM-based lead nurturing and analysis.
Leads strategic alliances with Japanese advertising agencies and digital marketing partners, building joint go-to-market plans, pipeline, co-selling activity, and executive relationships.
Lead a 4–7-person Core Services engineering team, improving platform reliability, scalability, and delivery while coaching engineers, guiding architecture, and joining on-call escalations.
Manage Japan-market marketing operations by automating workflows with data and AI, monitoring the full funnel, optimizing MarTech integrations, and analyzing campaign ROI.
Leads enterprise AI and data transformation from strategy through delivery, defining use cases, roadmaps, KPIs and processes while coordinating clients, partners and project quality.
Owns existing enterprise accounts, using consultative selling and account planning to uncover customer challenges, coordinate internal teams, and deliver business-focused solutions for growth.
Own complex customer and internal technical inquiries across data pipelines, workflows, and integrations, using SQL, APIs, logs, and observability tools to resolve issues and improve products.
Handles end-to-end technical customer support for a Customer Data Platform, investigating data issues with SQL, monitoring systems, documenting findings, and coordinating incident resolution.
Advise customers on AI- and data-driven marketing, propose and implement use cases, develop AI agents, analyze data with SQL, and lead hands-on adoption with internal teams and partners.
Leads enterprise CDP and AI implementation projects, building data pipelines, workflows, and customer use cases with SQL, Python, ETL tools, AWS, GCP, and generative AI.
Build and operate realtime personalization products across React frontends and distributed backend services, owning features end to end and supporting scalable, AI-integrated systems.
Builds reusable solution-design guidance for go-to-market teams, advises on complex architecture cases, and works with Engineering to turn recurring field problems into reusable product capabilities.