Top Tech Jobs & Startup Jobs

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.

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.

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.

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 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.

The Staff Machine Learning Engineer will lead ML systems development for personalization and ranking, design architectures, and mentor team members, ensuring reliable operations at scale.

As a Principal Software Engineer at Fetch, you'll design scalable systems for user engagement, drive experimentation, lead technical strategy, and mentor teams to improve engineering productivity and system reliability.

Support sales cycle from prospecting through close for mid-market partners: manage outreach, draft proposals, maintain Salesforce pipeline, support campaign execution and basic forecasting, surface campaign insights (often using AI tools), and collaborate with Account Managers to drive partner revenue.

Lead growth-focused mobile product design at Fetch, owning discovery-to-launch for retention and acquisition features. Collaborate with product and engineering, run critiques, prototype and animate interactions, and ship measurable features using modern design tools.