{"id":1473715,"url":"https://alion.io/job/treasure-data-technical-account-manager-tam","title":"Technical Account Manager (TAM)","company":{"id":180505,"name":"Treasure Data","domain":"treasure.ai","url":"https://alion.io/company/treasure-data","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":157000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"ETL/ELT","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-28T22:57:33Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-30T03:48:49Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Treasure AI:\nTreasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through continuous, context-driven action.\nFurthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers-self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.\nYour Role:\nThe Technical Account Manager (TAM) at Treasure AI is a technical specialist role focused on providing advanced platform expertise and implementation support to both enterprise customers and strategic partners. As Treasure AI evolves into an AI-native company where the CDP serves as the contextual data foundation powering AI agents and intelligent automation the Technical Account Manager (TAM) plays a key role in guiding customers through this transformation.\nResponsibilities:\nBe the technical authority for Treasure AI platform capabilities, serving as the primary escalation point for complex technical challenges faced by customers and partners.\n\nGuide technical solution design and architecture, providing expert guidance on data connectivity, ingestion patterns, and implementation approaches.\n\nLead technical deep-dives and knowledge transfer sessions to enable customers and partners on platform features, focusing on technical best practices and optimal implementation patterns.\n\nProactively monitor and optimize customer environments, identifying opportunities for technical enhancements and providing clear visibility into platform performance.\n\nCreate and maintain technical documentation, including solution architecture documents, implementation guides, and best practice recommendations.\n\nDrive technical product adoption by assessing the feasibility of proposed solutions, advising on platform capabilities, and ensuring successful implementation of complex use cases.\n\nProvide technical leadership in partner and customer implementations, coordinating with implementation teams to ensure architectural integrity and best practices are maintained.\n\nDeliver regular technical status updates and recommendations, effectively communicating complex technical concepts to various stakeholders.\n\nStay current with the latest platform features and capabilities, providing technical guidance on new functionality and potential applications.\n\nThis is a hands-on role - be ready to jump in and use the product from day one.\n\nAI-Native Initiatives\nGuide customers in adopting Treasure AI's AI-native tooling including Treasure Code (CLI/SDK), Treasure Studio, and the AI Agent Foundry to accelerate implementation workflows and enable AI-assisted operations.\n\nSupport the design and deployment of AI agents (Audience Agents, Custom Agents) from POC through production, helping customers unlock value from Treasure Data's agentic capabilities.\n\nIdentify opportunities within customer accounts to drive adoption of AI-powered features across Personalization, Engagement, and Creative AI Suites, contributing to AI Credit consumption growth.\n\nLeverage AI tools internally (Treasure Studio, Claude-powered skills) to accelerate technical discovery, solution design, and documentation modeling AI-native ways of working for the broader TAM organization.\n\nJob Requirements:\nBachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience\n\n5+ years of experience in technical consulting or solutions architecture\n\nStrong experience with:\nData connectivity and ingestion architectures\n\nSolution architecture and system design\n\nData engineering principles and practices\n\nBasic understanding of AdTech and MarTech ecosystems\n\nAdvanced SQL knowledge and data modeling experience\n\nExperience with ETL/ELT processes and data pipeline design\n\nStrong technical documentation and communication skills\n\nPreferred Qualifications:\nExperience with Treasure Data or similar CDP platforms\n\nAdvanced knowledge of marketing technology and advertising technology landscapes\n\nExpertise in one or more specialty areas:\nAdvanced data modeling\n\nMachine learning and AI applications\n\nReal-time data processing\n\nPrivacy and compliance architecture\n\nFamiliarity with AI/LLM technologies such as prompt engineering, AI agent configuration, or conversational AI workflows\n\nBackground in partner or customer-facing technical roles\n\nExperience with agile development methodologies\n\nPhysical Requirements:\nWorking out of the Mountain View, California office according to our “Global Hybrid Working Policy”: 3 days in office, 2 days remote.\nTravel Requirements:\n25% travel average with the opportunity to travel more if desired.\nPerks and Benefits (US):\nOur benefit package showcases our culture of care and empathy with\nComprehensive medical, dental, vision plans and Employee Assistance Program (EAP)\n\nCompetitive compensation packages\n\nCompany paid life insurance 3x salary\n\nCompany paid short- and long-term disability coverage\n\nRetirement planning (401K) with 4% company match\n\nRestricted Stock Units (RSU)\n\nFlexible Time Off (FTO)\n\nUp to 26 weeks paid parental leave including a post-partum night nurse\n\nComprehensive support and access to care for everyone, everywhere through Carrot - our global reproductive health and family-building benefit.\n\nOur Dedication to You:\nWe value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives.\nDiverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it.\nAgencies and Recruiters:\nWe cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!\nThis description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here.","description_format":"text","description_chars":6392,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Flexible time off","Hybrid work","Life insurance","Parental leave","Restricted stock units","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","Customer Data Platforms (CDP) & Reverse ETL"],"lifecycle":[{"event":"open","at":"2026-09-29T17:54:05Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":49,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":165000,"is_top_pay":false},"html_url":"https://alion.io/job/treasure-data-technical-account-manager-tam","json_url":"https://alion.io/job/treasure-data-technical-account-manager-tam.json","meta":{"generated_at":"2026-10-01T04:38:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4077,"day_limit":5000,"remaining_today":923,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}