Top Tech Jobs & Startup Jobs in Seattle, WA

Own product experimentation, causal analysis, KPI frameworks, predictive modeling, and user segmentation to improve growth, engagement, retention, and revenue. Partner with Product, Engineering, and Design to translate ambiguous questions into rigorous analyses and launch recommendations. Develop lifecycle intervention intelligence, evaluate treatment effects and persistence, communicate uncertainty, and influence roadmap decisions through reusable analyses and clear narratives.

Own company-wide KPI, modeling, and measurement workstreams; develop trusted metrics, KPI trees, forecasts, causal analyses, scenarios, and diagnostic tools. Partner with Data Engineering, Product, Engineering, Finance, and Commercial teams to connect business drivers to retention, monetization, revenue, and margin. Build reproducible SQL and Python workflows, communicate uncertainty and assumptions, and drive adoption of analytical frameworks and recommendations.

Leads company-wide data science priorities, KPI frameworks, measurement standards, causal modeling, scenario planning, and agentic analytical automation. Builds reproducible SQL and Python workflows, validates predictive and causal relationships, establishes trusted metrics, partners with Finance, Product, Commercial, Engineering, and Data Engineering, and mentors scientists. The role drives adoption of governed self-service analytics and communicates assumptions, uncertainty, and business trade-offs to leadership.

Own the complete machine learning model lifecycle, from experimentation and validation through deployment, monitoring, retraining, rollback, and retirement. Build reusable training, evaluation, deployment, orchestration, and CI/CD infrastructure. Establish model promotion standards, versioning, lineage, monitoring, alerting, and incident-response processes. Partner with data scientists to preserve scientific validity, improve reliability and efficiency, support delayed-label use cases, mentor teammates, and define MLOps priorities.

Own end-to-end brand campaign execution, including campaign configuration, partner assets, product catalogs, point attribution, and redemption logic. Coordinate timelines across teams, support Account Managers, translate promotion requirements into operational inputs, track risks and milestones, and improve processes through automation and AI tools. Serve as a subject-matter expert while contributing to initiatives that improve partner and user experiences.

Lead analytics support for Fetch’s Food and Beverage vertical, serving as the primary analytics partner for Sales and client stakeholders. Own sub-vertical partnerships, manage analytic capacity, answer senior-level client questions, and guide campaign strategy. Use SQL to manipulate data, develop actionable insights, support QBR storytelling, and communicate recommendations to technical and non-technical audiences. Represent analytics cross-functionally and automate insights using AI-enabled tools.

Own the data science strategy and experimentation roadmap for ranking and relevance. Partner with product, engineering, ML, and commercial teams to improve marketplace outcomes through ranking models, experimentation, observational analysis, KPI frameworks, and commercial impact measurement. Balance advertiser, user, and platform value; guide launch and investment decisions; communicate findings to stakeholders; mentor scientists; and develop reusable analytical methods.

Owns net-new business development for Fetch by prospecting, managing complex sales cycles, converting strategic partners, and driving revenue commitments. The role develops proposals, forecasts pipeline, manages Salesforce, interprets campaign and market data, and builds executive relationships. It also creates sales playbooks, coaches peers, collaborates cross-functionally, represents Fetch at industry events, and applies AI tools to improve forecasting, presentations, workflows, and partner growth.

Supports new-client acquisition for Fetch’s digital advertising platform, managing prospecting, outreach, proposals, relationship development, and sales-cycle activities. The role contributes to revenue and quota attainment, maintains Salesforce pipeline records, supports forecasting and campaign insights, and collaborates with account managers, analytics, implementation, and industry teams. AI-enabled tools are used for research, prospecting, meeting preparation, pipeline hygiene, and data analysis.

Partner Director is an Account Executive responsible for prospecting, complex sales cycles, proposals, partner conversion, revenue commitments, forecasting, and strategic account growth. The role sells digital advertising and consumer data solutions, builds executive relationships, interprets campaign data, and collaborates cross-functionally with account management and leadership. It also develops AI-enabled sales processes, coaches peers, contributes to hiring, maintains Salesforce pipeline hygiene, and represents Fetch at industry events. The position requires 8+ years of sales or partnership experience and may be remote within the United States.