Jobs at Triple Whale

Manage integrations at Triple Whale by defining data requirements, owning API specifications, ensuring data quality, and collaborating across teams for successful launches.

Responsible for the full sales cycle, generating leads, delivering product demos, and collaborating with teams to drive revenue growth in the SaaS sector.

Lead and scale a technical customer support organization for a B2B SaaS product. Own frontline support, support engineering (reproductions, log diving, SQL, API debugging), bug triage, AI-first deflection using LLMs, metrics (response time, TTR, CSAT), knowledge management, and partnership with Product and Engineering. Hire, define operating model, and build global coverage.

Lead a distributed SQL team and own the end-to-end service model for custom analytics: intake, scoping, delivery, QA, documentation, and SLAs. Serve as a customer-facing technical lead, build scalable workflows and request taxonomy, partner cross-functionally, and balance customer delivery with internal platform priorities.

Provide technical, outcome-focused support for DTC customers via chat and email. Troubleshoot integrations, pixels, reporting, and AI (Moby). Use investigative skills to reproduce bugs, recommend configurations, escalate when needed, and contribute knowledge base and product feedback to improve the platform.

Lead and scale a customer-facing Technical Solutions organization (Solutions Architecture, Marketing Science, SQL Engineering, Context Engineering). Own strategy, service packaging, pricing, staffing, and commercial metrics. Sponsor strategic accounts, drive cross-functional partnerships with Sales, CS, Product and Engineering, and build reusable IP, playbooks, and measurement frameworks to protect retention and fuel expansion.

Own technical support for enterprise e-commerce accounts across chat, email, and direct channels. Troubleshoot and resolve complex issues across pixels, integrations, reporting, Moby and data warehouses; use AI copilot to investigate and resolve; coach customers and agencies on best practices; escalate and write actionable reproduction steps for engineering; surface patterns to Product and contribute to KB and runbooks.

Provide technical customer support via live chat and email for DTC ecommerce brands. Troubleshoot attribution, integrations, tracking, reporting, and AI workflows, using Moby as a copilot. Own conversations end-to-end, reproduce engineering-ready bug reports, coach customers on best practices, surface product feedback, and contribute to knowledge base and runbooks. Work in a high-volume, fast-moving AI-native environment with focus on customer outcomes.

Serve as the primary Customer Success partner for agency portfolios, driving platform adoption, strategic guidance, renewal forecasting, risk mitigation, and growth. Collaborate with Sales, Solutions Architecture, Product, and Support to solve technical challenges, run enablement and business reviews, gather product feedback, and improve the agency partner experience to maximize long-term value.

Provide front-line technical support for Triple Whale's e-commerce analytics platform via live chat; troubleshoot platform issues, triage and escalate bugs to Engineering, advise customers on best practices, partner with Product and Customer Success to improve experience, and identify trends to drive product and documentation improvements.

Lead and scale the Implementation team to drive goal-based onboarding, accelerate time-to-value, and increase adoption and retention. Own playbooks, capacity planning, metrics (pilot conversion, time-to-first-value, adoption, CSAT), cross-functional handoffs, and escalations. Build an AI-first self-serve onboarding experience in partnership with Product, Support, and CS.

Own and grow relationships with enterprise ecommerce clients, create tailored success plans, drive renewals and expansion, advise on marketing strategy and product adoption, forecast revenue, present to executives, and collaborate cross-functionally to improve customer outcomes.

As an Applied Data Scientist, you'll develop and deploy marketing measurement and optimization products, manage end-to-end statistical models and create real-time data solutions while collaborating with product and engineering teams.

The Applied Data Scientist will build marketing measurement products, develop and deploy statistical models, and create scalable data pipelines while working with various stakeholders to drive marketing science capabilities.

Own the full sales cycle for APAC eCommerce and agency customers: prospect, demo, negotiate, and close deals. Generate pipeline, work MQLs, collaborate with marketing/CS, and travel domestically to Sydney and Melbourne.

As a Marketing Scientist, you will lead measurement strategies for brands, translating complex data insights into actionable recommendations while collaborating across teams and supporting sales with technical expertise.

As a Senior Cloud Backend Engineer, you will design and build reliable systems, support infrastructure in Kubernetes, optimize databases, and aid developer productivity. You will also participate in on-call rotations to maintain system reliability.

The Sales Development Representative collaborates with Enterprise Account Executives to engage decision-makers, develop personalized outreach, and generate qualified leads for eCommerce brands.

Seeking a Data Engineer with over 4 years of experience to build and optimize data platforms, work on data pipelines, and collaborate across teams to enhance data solutions and architecture.

The Social Media Specialist will manage daily publishing, community engagement, content adaptation, and performance tracking across social platforms.