Own client-facing analytics strategy and implementation across GA4, Adobe Analytics, tagging, measurement frameworks, dashboards, experimentation, and GEO measurement. Audit and QA analytics implementations, define KPIs, evaluate incrementality and causal relationships, present executive-ready insights, and collaborate with SEO, paid media, creative, data, engineering, and client teams. Build AI-assisted workflows, automations, scalable tools, and dashboards while mentoring teammates and managing multiple client workstreams.
The Role: You, the Analytics Manager of our dreams, are the connective tissue between business strategy, customer behavior, experimentation, and measurement. You understand that modern analytics goes far beyond implementation. It requires helping clients navigate increasingly fragmented, AI-influenced customer journeys while building measurement strategies that drive confident decision-making.
This is an Account Manager role at Seer. You are a client-facing practitioner who owns relationships, drives strategy, and delivers results. You are equally comfortable discussing data layers and tag governance as you are facilitating conversations around KPIs, GEO test design, incrementality, and business outcomes.
The work splits roughly 60% traditional analytics and 40% GEO. On the analytics side you will architect measurement solutions, audit and QA implementations, and build frameworks that tie data to business outcomes. On the GEO side you will help clients measure visibility and performance across AI-powered search experiences, design and evaluate Test & Learn programs, and translate emerging signals into strategy. GEO measurement is a young discipline and we are building this capability together. What matters is your curiosity and analytical instincts, not existing GEO credentials.
Across both, you are AI-native. You use AI daily as a working partner, and you build systems, not just deliverables.
Role Highlights
- Traditional Analytics (60%)
- Strategize and architect large-scale digital analytics implementations for a handful of clients, primarily on platforms like Google Analytics 4 and Adobe Analytics
- Audit new and existing implementations to identify gaps, find technical issues with code or configuration, and recommend the best feasible solution
- Build measurement frameworks that move clients beyond sessions and conversions toward metrics that reflect real business outcomes and nonlinear customer journeys
- Confidently implement analytics and marketing tags through Tag Management Systems, and meet with developers, IT, and clients to design solutions that fit their needs
- Write clear technical documentation for team members, clients, and developers GEO (40%)
- Partner directly with clients to develop and operationalize GEO measurement strategies across AI-powered search experiences
- Support Seer's GEO Test & Learn initiatives by defining hypotheses, establishing testing methodologies, identifying success metrics, and evaluating causal relationships between marketing activities and business outcomes
- Distinguish correlation from incrementality through thoughtful experimental design and analytical rigor
- Work cross-functionally with SEO, Paid Media, Creative, and Data teams to evaluate how AI-driven experiences influence awareness, behavior, conversion, and loyalty
- Help clients evolve beyond traditional funnel reporting toward modern measurement frameworks that reflect nonlinear customer journeys
- Present findings, recommendations, experimentation outcomes, and strategic insights directly to client stakeholders and executive audiences
Essential Skills
- You have advanced analytics implementation expertise involving behavioral tracking, ecommerce measurement, experimentation frameworks, and business outcome measurement
- You have experience aggregating data and building dashboards in LookerStudio, PowerBI, and Tableau
- You bring a sense of true curiosity to analytics work that drives you to not just report on what happened, but to dig into the why and what’s next
- You are comfortable discussing incrementality, lift analysis, holdout methodologies, and causal inference concepts
- You work effectively in AI tools, particularly Claude, to accelerate analysis, structure findings, and produce client-ready outputs as a daily working partner
- You are naturally inclined to automate, improve, and simplify wherever possible, and you build prompts, workflows, agents, and repeatable systems that amplify impact
- You take ownership of ambiguous problems, break them into actionable next steps, and bring solutions rather than just questions
- You have strong organizational and project management capabilities and can manage your own workload and deadlines in a tool like Wrike, managing up when you hit blockers or competing priorities
- You communicate effectively with technical and non-technical stakeholders, including translating data findings into executive-ready narratives
- You have a genuine curiosity about emerging AI technologies and how they impact discoverability, customer behavior, and digital measurement
- You have a strong sense of self, which means you can say no, deliver feedback, and confidently present the value you are driving for clients, even when things get challenging
- You have a passion for mentoring teammates and elevating data literacy and analytics capabilities across teams Bonus
- You have experience with Python, R, or data transformation workflows
- You have early exposure to GEO, LLM visibility tracking, or AI search measurement
- You have experience building automations, AI workflows, agents, or internal tools
- You have experience in a consulting or agency environment
30/60/90
- Develop a strong understanding of Seer's analytics methodologies, client portfolio, and AI/GEO measurement philosophy
- Complete onboarding, shadow existing work, and start building relationships across analytics, strategy, and client teams
- Begin contributing to implementation audits, QA processes, and measurement strategy engagements
- Identify one quick win you can improve right away, such as a report, process, or visualization 60 Days — Build
- Independently manage analytics workstreams across multiple client engagements
- Own a client-facing deliverable end to end, from data pull to presentation
- Participate in GEO measurement initiatives and experimentation planning sessions, supporting hypothesis creation, KPI selection, and test design
- Begin contributing AI-assisted workflows or automations that improve how the team works 90 Days — Lead
- Lead measurement strategy conversations with clients
- Independently support GEO Test & Learn engagements from planning through analysis, helping clients interpret outcomes and translate them into next steps
- Have at least one scalable system, dashboard, or tool in production that creates lasting value
- Be a visible contributor to Seer's analytics practice, sharing ideas, improving processes, and helping shape what AI-native analytics looks like here
First 30 Days — Learn
This might not be the right role for you if....
- Time management, context switching, and juggling multiple projects is quite challenging
- You do not want continued learning and innovation to be an expectation
- Change management is difficult and you struggle with adapting to new tools and processes
Similar Jobs
.png)
Food • Software
Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.
Top Skills:
GongHubspotOutreachSalesforceSQL
Financial Services
Lead strategic deposit pricing analytics focused on CDs, elasticity testing, deposit trends, yield-seeking behavior, and macroeconomic impacts. Serve as the subject-matter expert on CD data, translate findings into executive presentations, build automated self-service dashboards, and partner with finance, pricing, marketing, risk, product, and branch teams. Monitor competitor pricing and economic trends to inform retail banking product decisions.
Top Skills:
AlteryxPythonSASSQLTableau
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads AI innovation and adoption across a healthcare advisory practice. Develops and deploys predictive models, generative AI, machine learning, and analytics solutions for value-based care and payment challenges. Oversees data readiness, governance, responsible AI reviews, model monitoring, stakeholder adoption, and client delivery. Translates complex analytics into executive-ready insights, dashboards, and presentations while building reusable assets, training teams, and driving enterprise AI strategy.
Top Skills:
Agentic AiAgileAzure AiBusiness IntelligenceDatabricksGenerative AiLarge Language ModelsMachine LearningAzurePredictive AnalyticsPythonRRetrieval-Augmented GenerationSnowflakeSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
