Jobs at Fetch

The Senior Machine Learning Engineer leads technical direction for ML systems focused on personalization and ranking, overseeing architecture and implementation while mentoring team members.

Director of Strategy & Operations supporting Fetch’s Data and Expanded Core businesses. Acts as a strategic advisor to revenue leaders, using data analysis to inform priorities, evaluate trade-offs, and identify growth opportunities. Drives operational execution, KPI and dashboard development, cross-functional coordination, channel management, process optimization, and executive-level reporting. The role requires strong strategic problem-solving, financial acumen, project management, and experience scaling early-stage business initiatives.

Leads client relationships, campaigns, onboarding, reporting, renewals, upsells, and revenue growth for emerging verticals. The role manages client engagements, campaign setup, performance analysis, presentations, billing, and strategic recommendations. It partners with sales and cross-functional teams to improve client outcomes, retention, and budget expansion while using AI, automation, dashboards, and CRM tools to increase efficiency and accuracy.

Build and operate planning, OKR, KPI, reporting, and executive performance systems for Product and Marketing. Create scalable workflows, templates, dashboards, automation, and AI-enabled processes that improve organizational effectiveness and reduce manual work. Partner with Strategy and Operations leadership, drive complex cross-functional initiatives, translate strategy into durable operating mechanisms, and lead adoption through enablement and continuous improvement.

Own Fetch’s internal Agentic Platform and agent development lifecycle, including runtime, orchestration, context, memory, model routing, evaluation, observability, governance, and adoption. Lead roadmap strategy, developer discovery, human-in-the-loop capabilities, metrics, and cross-functional delivery. Establish repeatable processes for moving agents from concept through production while improving reliability, quality, cost, and team adoption.

Leads enterprise partner acquisition and sales for new verticals, owning prospecting, complex sales cycles, proposals, revenue commitments, forecasting, and quota attainment. Builds executive relationships, develops strategic partnerships, interprets advertising and campaign data, and shapes go-to-market strategy. The role also creates AI-enabled sales processes, playbooks, and forecasts, mentors sellers, manages Salesforce pipelines, and collaborates cross-functionally to expand accounts and improve sales effectiveness.

The Senior Commercial Counsel at Fetch is responsible for negotiating and drafting commercial agreements, providing legal guidance to Sales and Finance, and integrating AI into legal workflows. The role focuses on contract management with full autonomy over deal processes.

Lead creative development for integrated marketing campaigns, product launches, partnerships, and brand initiatives. Create polished executions across app, CRM, paid media, web, and emerging channels. Build visual systems and scalable design frameworks, mentor junior designers, align cross-functional stakeholders, and use performance insights to iterate and improve creative effectiveness.

Design and build developer platforms, backend tooling, SDKs, test infrastructure, reusable components, evaluation frameworks, and AI-assisted engineering workflows. Own architecture across distributed systems, observability, governance, reliability, and developer productivity. Influence technical strategy across teams, establish engineering standards, mentor senior engineers, and drive multi-quarter platform investments. The role is hands-on and focused on enabling backend, mobile, ML, and web teams to deliver reliable software faster.

Senior Software Engineer joining Fetch’s Data Platform team to architect and evolve scalable data pipelines, governed data access, delivery infrastructure, and partner integrations. The role owns ambiguous technical problems, leads multi-system initiatives and migrations, improves reliability and engineering efficiency, shapes technical direction, collaborates across teams, and mentors engineers. Candidates need strong backend or platform engineering experience, data infrastructure knowledge, cross-team leadership, operational judgment, and excellent communication skills.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Review user accounts and transactions to detect fraud using internal tools and SOPs. Make accurate, high-volume case decisions, escalate exceptions, meet productivity and quality KPIs, track time, and work weekends.

Lead a marketing analytics team to deliver acquisition, engagement, retention, and reactivation measurement. Own SQL-based analyses, experiments, audience strategies, dashboards, and incrementality methods. Translate business questions into analytical plans, partner cross-functionally, mentor analysts, and connect marketing activity to downstream outcomes like retention, revenue, and lifetime value.

Lead a team delivering product and business analytics for Fetch's commerce and shoppable experiences. Own prioritization, experimentation, measurement, KPI dashboards, and stakeholder-facing insights to inform product, marketing, and commercial decisions. Manage and develop analysts while partnering cross-functionally to ensure data quality, repeatable analyses, and actionable recommendations.

Own complex analyses and measurement frameworks for a product or business area. Design experiments and statistical/causal models, define and monitor KPIs, quantify impact, and translate findings into product and business recommendations. Partner cross-functionally, mentor junior analysts, and use tools like Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to scale analytics and ensure reproducibility and strong governance.

Lead and grow a team of ML engineers building production ML systems for Fetch's Ad Platform. Translate product strategy into roadmaps, guide design and implementation of models for ranking, targeting, bidding and forecasting, set metrics and experimentation, enforce architectural and operational standards, manage trade-offs across performance and reliability, and drive cross-functional alignment to improve advertiser and member outcomes.

Own complex sales cycles to acquire and grow strategic brand partnerships, using AI-driven tools for outreach, forecasting, and insights. Drive revenue, craft proposals, manage Salesforce, mentor peers, and collaborate cross-functionally to scale AI-enabled sales playbooks and processes.

Lead and grow a team focused on developer experience and internal platforms to improve engineering productivity. Define strategy, own CI/CD/build pipelines, tooling, local dev environments, observability, and automation. Partner across engineering, infra, security, SRE, product, and data to reduce friction, create golden paths, measure impact with delivery and reliability metrics, and drive adoption of AI-assisted developer workflows.

Lead company-level measurement and causal strategy, define MAU×ARPU metrics and semantic mart, set scientific standards for experimentation and analysis, own strategic models (MMM, elasticity, forecasting), partner with engineering to productionize analytics, and raise org-wide scientific maturity through governance, templates, and upskilling.

Partner with Product, Marketing, Growth, Engineering, and Business teams to analyze user behavior, build dashboards and self-serve reports, support A/B testing and experiment measurement, create user segments and cohorts, monitor KPIs, and communicate actionable insights to stakeholders to improve engagement, conversion, retention, and campaign performance.