• Own the People Analytics roadmap and delivery, expanding beyond foundational reporting to introduce predictive, automated, and strategic insights • Serve as the primary liaison between People and IT’s analytics team, with dotted-line management of IT’s full-time People Analytics resource — ensuring alignment, prioritization, and timely execution of work; Deliver actionable insights through dashboards and analytics that accelerate data fluency and support leadership decisions on hiring, retention, engagement, and organizational effectiveness. • Lead execution of the People AI strategy — defining what “AI for People” means for Welbe and identifying opportunities that drive measurable impact • Manage discovery and implementation of AI tools and frameworks to support talent, team member experience, and organizational decision-making • Guide ethical and responsible AI integration across People initiatives, establishing principles around fairness, transparency, and data security; Translate strategic AI priorities from leadership conversations (CPO & CEO) into practical, scalable solutions and pilots within the People organization • Champion a digital-first mindset across the People team, embedding technology, analytics, and experimentation into everyday decision-making; Proactively identifying opportunities for digitization and automation within HR processes to enhance scalability and personalization • Influence senior leaders on how data and AI can evolve our people team strategies, champion of supervisor adoption of AI and technology for people related tasks; Mentor and build analytics literacy across the People function, enabling teams to think differently about insights and action

About the Role: At Fetch, we’re building AI and automation systems that make our work smarter, faster, and more scalable. The AI Operations team ensures our models and workflows perform with quality, reliability, and measurable impact. As a Senior Automation Specialist, you’ll own evaluation and dataset workstreams that improve AI system performance. You’ll define what “good” looks like, design how we measure it, and build the datasets, evaluations, and automations that turn insights into action. This role is ideal for someone who is self-directed, biases toward action and rapid iteration, and takes initiative to turn ambiguous problems into structured, scalable solutions. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities: - Own evaluation & datasets: Define evaluation approaches, design gold datasets (GDS), and ensure coverage of real-world scenarios and edge cases - Build evaluation systems: Develop manual and automated evals, including LLM-as-judge patterns, to measure model quality and performance - Translate ambiguity into structure: Turn open-ended questions into clear evaluation frameworks and execution plans - Build automations: Create automations that improve workflows, including dataset creation, evaluation pipelines, and lightweight operational processes - Measure and iterate: Define and track performance metrics; refine datasets, evaluations, and workflows based on results - Drive execution forward: Operate with urgency and ownership; identify next steps, unblock progress, and move work forward with minimal oversight - Collaborate cross-functionally: Partner with other Automation Specialists, engineering, cross-functional stakeholders, and project leads to ensure high-quality, timely project deliverables - Improve systems: Identify gaps and implement scalable improvements to evaluation and data workflows Minimum Requirements: - 3+ years of experience designing or working with evaluation frameworks, datasets, or quality measurement systems - Experience building or managing datasets (labeling, QA, iteration) - Ability to independently drive tasks from problem definition to execution - Hands-on experience with AI tools, LLM workflows, or automation platforms - Experience in defining and tracking model performance - Basic scripting or data skills (SQL, Python, etc.) Preferred Requirements: - Experience with LLM-as-judge or model evaluation techniques - Familiarity with prompt evaluation or benchmarking approaches - Experience productionizing evaluation workflows with engineering teams Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is [$75,000 - $85,000]. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.

About the Role: At Fetch, we’re building AI and automation systems that make our work smarter, faster, and more scalable. The AI Operations team ensures our models, automations, and LLM systems perform with quality, reliability, and measurable impact. As an Automation Lead, you’ll own automation and evaluation programs across AI Operations. You’ll translate business and functional goals into scalable systems, define how we measure quality, and ensure automation and evaluation become durable, high-impact capabilities across the organization. This role is ideal for someone who combines deep technical problem-solving with systems-level thinking and strong cross-functional leadership. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities: - Own programs: Lead complex, high-impact automation and evaluation initiatives across workflows or teams - Design scalable solutions: Architect end-to-end workflows integrating datasets, evaluations, automations, and HITL processes - Establish standards: Define best practices for datasets, evaluation methodologies, and quality measurement - Drive cross-functional alignment: Influence priorities and partner with Engineering, Product, and AI teams to deliver solutions - Improve systems at scale: Lead redesign of workflows, tooling, and processes to improve performance and durability - Measure and communicate impact: Define success metrics and communicate performance and recommendations to leadership - Elevate the team: Raise the bar through your work and actively mentor others by sharing approaches, guiding problem-solving, and enabling the team to build stronger automation and evaluation capabilities - Drive innovation: Stay current on emerging tools and approaches; pilot and translate them into actionable improvements for the team Minimum Requirements: - 5+ years of experience and the proven ability to lead complex automation or evaluation initiatives across systems or teams - Experience designing, building, and scaling evaluation frameworks, datasets, and quality systems at scale for LLMs or AI products - Strong understanding of AI/LLM workflows, automation platforms, and system design - Experience in influencing cross-functional stakeholders and aligning priorities - Demonstrated ability to define metrics and drive measurable business impact Preferred Requirements: - Familiarity with data pipelines, APIs, or production systems - Experience mentoring or leading technical contributors - Background in AI Operations, applied AI, or process optimization Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is [$97,000 - $114,000]. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.

We are looking for a results-driven SEO / AI Search Specialist to lead strategy, optimize performance, and drive measurable growth for a U.S.-based organization. This role combines advanced SEO expertise with emerging AI search optimization, ensuring strong visibility across both traditional and AI-driven search experiences. You will work cross-functionally to build scalable strategies, guide execution teams, and align SEO efforts with business and conversion goals. Duties / Task to perform - Develop comprehensive SEO roadmaps including service pages, location pages, and content strategies - Conduct keyword research, clustering, and mapping aligned with search intent and business goals - Perform competitor analysis to identify growth opportunities and gaps - Analyze performance using tools such as GA4 and GSC to generate actionable insights - Monitor rankings, traffic, and user behavior to continuously refine strategies - Define and guide content strategy, including blog clusters and topical authority development - Create SEO-driven content briefs and optimize site architecture and internal linking - Optimize content for AI search (featured snippets, AI overviews, entity-based SEO, schema markup) - Improve content structure for extractability and machine readability - Align SEO strategies with conversion goals and recommend CRO improvements - Oversee local SEO initiatives including Google Business Profile optimization and citation consistency - Identify and prioritize technical SEO issues such as crawlability, indexing, and site health - Guide off-page SEO strategies including link-building and authority growth - Collaborate with cross-functional teams to ensure consistent, high-quality execution - Provide leadership, feedback, and direction to execution teams