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The VP, Client Services leads client satisfaction and growth by ensuring operational excellence, nurturing key accounts, and driving revenue expansion across teams.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

The VP, Client Services will lead revenue growth, client satisfaction, and team excellence, ensuring strategic alignment and profitability across accounts while driving innovation and collaboration.

The Sr. Strategist will develop business strategies to enhance sales revenue, work with clients to address challenges, and lead creative brainstorming sessions.

Lead BI reporting and advanced marketing analyses to optimize campaign performance and ROI. Build and maintain dashboards, consolidate and govern data, model insights, and provide strategic recommendations to cross-functional teams. Mentor junior analysts, drive process improvements, and translate complex data for non-technical stakeholders to inform business and marketing decisions.

Lead delivery of integrated technology and marketing programs: maintain master trackers, manage scope and budgets, forecast resources, run burn analyses, coordinate cross-functional teams (creative, production, paid, analytics), own project infrastructure and operational cadence, and drive process standardization and efficiency.

Provide high-level administrative and project support to multiple executives: manage calendars and travel, handle communications, coordinate meetings (in-person and virtual), prepare documents and presentations in Google Suite, and facilitate team collaboration to meet deadlines.

Scope AI and data solutions with business stakeholders, design end-to-end systems, and build the first working production versions. Ship models, pipelines, and tools using Snowflake/BigQuery, Python, SQL, LLMs and embeddings; collaborate with Data Engineering, monitor usage, and enable non-technical teams to scale solutions.

Design, build, and ship end-to-end AI and data solutions using proprietary data infrastructure. Scope projects with business stakeholders, implement models, pipelines, and APIs (Python/SQL), deploy on Snowflake or BigQuery, and iterate post-launch. Enable non-technical teams, collaborate with Data Engineering and AI teams, and operationalize LLMs, embeddings, and predictive models into working internal products.

As a Jr. Product Success Manager, you will manage client relationships, assist in onboarding, monitor product usage, and report insights to ensure client satisfaction.