Treasure Data

Account Executive

• Apply a consultative sales approach throughout the sales cycle to understand the prospects’ use cases and create a business value proposal.
• Qualify, Develop and manage opportunities with a high probability to drive net new revenue.
• Highly responsible to own and manage your Accounts and be responsible to develop your business plan to consistently meet and exceed quota.
• Develop substantial knowledge of Treasure Data solutions and differentiators, competitors, and industry trends.
• Articulate industry-specific value propositions to address common vertical pain points.
• Vertical Knowledge in one or more of the following B2C verticals - CPG,Retail, Financial Services, Insurance, Automotive, Life Sciences, Media, and Travel & Hospitality.
• Build trust and maintain positive relationships with top decision-makers at C-levels and at different levels across the prospect’s organization.
• Provide accurate forecasts based on accurate pipeline management.
• Lead and collaborate with Treasure Data team members and partners to effectively close business.

Product Manager

• Prototype & validate quickly: use modern AI tools (Claude, multimodal LLMs, RAG systems, agent frameworks) to craft working demos before engaging full hands on product experience cycles.
• Design lifestyle-oriented product experiences: make AI workflows intuitive, engaging, and habit-forming for marketers and enterprises.
• Champion AI adoption through brand experiences: lead the creation of AI bootcamps, hands-on product labs, and immersive learning programs that help customers go from curiosity to daily use.
• Drive product + brand integration: work closely with product marketing and design to ensure every launch, campaign, and product touchpoint reflects a modern, AI-first feel.
• Engage with customers directly: uncover unmet needs, validate use cases, and co-create product experiences that meet users where they are.
• Stay ahead of AI + cultural trends, ensuring our products and brand remain fresh, relevant, and differentiated.
• Support key GTM motions via product launches in tandem with the rest of the product team.

Senior Product Manager – AI Experience, Brand

• Own the product vision & roadmap for Treasure Data’s agentic AI products, spanning AI Suites and AI Agents
• Design & prototype AI workflows: Use modern AI tools yourself to build working demos and validate feasibility before engaging engineering
• Define agentic product experiences that orchestrate specialist agents (e.g., audience, creative, optimization agents) into a unified Superagent co-pilot experience
• Work cross-functionally with engineering, design, marketing, and customer success to bring products from 0→1 and scale them globally
• Engage directly with customers (mid-market and enterprise) to understand pain points, validate use cases, and translate insights into agent workflows
• Define metrics for success: adoption, engagement, time-to-value, and impact on ARR expansion
• Stay ahead of AI trends: Continuously evaluate emerging LLMs, multimodal capabilities, and agent frameworks to evolve our platform
• Champion product-led growth: Position AI products as daily co-pilots for marketers and operators, driving habitual engagement and natural upsell into Data Cloud and AI Suites

Principal Product Manager – AI Products

Revenue Operations

• Lead our global Deal Optimization team
• Provide Pricing, Proposals Management, Deal Desk, and Order Management support to Sales teams
• Drive accelerated deal cycles and maximize deal values
• Ensure compliance with internal policies and procedures

Director, Revenue Operations

Technical Account Manager

• Be the technical authority for Treasure Data platform capabilities, serving as the primary escalation point for complex technical challenges faced by customers and partners
• Guide technical solution design and architecture, providing expert guidance on data connectivity, ingestion patterns, and implementation approaches
• Lead technical deep-dives and knowledge transfer sessions to enable customers and partners on platform features, focusing on technical best practices and optimal implementation patterns
• Proactively monitor and optimize customer environments, identifying opportunities for technical enhancements and providing clear visibility into platform performance
• Create and maintain technical documentation, including solution architecture documents, implementation guides, and best practice recommendations
• Drive technical product adoption by assessing the feasibility of proposed solutions, advising on platform capabilities, and ensuring successful implementation of complex use cases
• Provide technical leadership in partner and customer implementations, coordinating with implementation teams to ensure architectural integrity and best practices are maintained
• Deliver regular technical status updates and recommendations, effectively communicating complex technical concepts to various stakeholders
• Stay current with the latest platform features and capabilities, providing technical guidance on new functionality and potential applications
• This is a hands-on role – be ready to jump in and use the product from day one.

Full-stack Engineer

• Building new features and improving existing ones, focused on Generative AI capabilities
• Working with other engineers, PMs, and designers to design scalable solutions
• Writing clean, efficient Ruby code (mostly Rails) with a focus on performance
• Staying on top of AI/ML trends (LLMs, prompt tuning, etc.) and sharing with the team
• Helping operate and maintain the systems we own (including on-call rotations)

Senior Software Engineer – Generative AI

Program Manager

• Drive planning and execution for key R&D programs (launches, new suite rollouts, Betas).
• Proactively identify issues, roll with shifting priorities, and solve problems creatively.
• Balance structure with flexibility in an evolving environment.
• Own and continuously improve product delivery processes, from intake to readiness.
• Ensure consistent application of stage-gates, checklists, and playbooks.
• Collaborate with Product Ops Manager to streamline ways of working.
• Track and report on delivery progress, milestones, and risks across programs.
• Provide clear updates to leadership, ensuring visibility at the exec and board level.
• Identify and promote opportunities to use AI for automation, reporting, and productivity improvements.
• Partner with R&D and Ops to embed AI in daily workflows.

Program Manager – Product Operations, Launches, Processes, Delivery, AI Adoption

• Develop and operate high-throughput near-realtime distributed data processing systems written primarily in Kotlin.
• Ensure the high availability, reliability, and scalability of our core data ingestion service, proactively identifying and resolving system bottlenecks.
• Collaborate with other engineering teams as well as product and customer success to address customer pain points and improve our services.
• Provide technical feedback to other engineers, fostering a culture of continuous learning and improvement through code reviews and design discussions.
• While the primary focus is on data pipelines, you may occasionally contribute to the team's Ruby on Rails business applications.
• Stay current with industry trends and advancements in distributed systems and data processing to drive innovation within the team.

Senior Software Engineer – Real Time

User Researcher

• Plan and conduct user research studies across the product lifecycle, including interviews, usability testing, and surveys
• Partner with designers and product managers to identify research questions and ensure findings directly inform design and product decisions
• Collaborate with and support a Senior UX Researcher and the Product Design Director in shaping research practices, frameworks, and processes for the company
• Synthesize research findings into actionable insights and communicate them effectively to cross-functional teams and stakeholders
• Collaborate with Go-To-Market (GTM) teams to connect with users and gather feedback from high-value segments
• Help evangelize the value of research across the company by educating partners and influencing product decisions with evidence-based insights
• Contribute to research artifacts (personas, journey maps, user needs frameworks) that align teams around customer perspectives
• Document methods, tools, and findings to grow a scalable research knowledge base
• Be flexible and adaptable in choosing the right research methods to meet teams where they are in their product development cycle

UX Researcher

Affiliate Manager

• Deliver dynamic instructor-led training sessions across hybrid formats (in-person and virtual), ensuring engaging and effective knowledge transfer through the use of gamification, interactive elements, and multimedia techniques
• Travel up to 60% of the time to deliver on-site training programs, workshops, and certification sessions at customer and partner locations
• Design and facilitate immersive training experiences that incorporate edutainment principles, making complex technical concepts accessible and memorable for diverse audiences
• Apply adult learning principles and instructional design best practices to create engaging training sessions that maximize participant retention and application
• Develop and deliver technical training programs focused on Customer Data Platform (CDP) implementations, software training, and data platform concepts
• Adapt training delivery methods based on audience needs, learning objectives, and format requirements (virtual vs. in-person)
• Collaborate with content development teams to ensure training materials translate effectively across different delivery formats
• Track and analyze training effectiveness metrics, gathering feedback to continuously improve program delivery and participant engagement
• Support certification program delivery, including hands-on labs, assessments, and practical application exercises
• Partner with customer success and partner enablement teams to ensure training programs drive adoption and maximize platform value