Fetch Rewards

Growth Marketing

• Manage the team's broader client acquisition, retention, and expansion strategies, resulting in partnerships that generate revenue.
• Oversee industry sales revenue and progress to quota while providing accurate assessment of progress to Fetch leadership.
• Guide Partner and Account Managers by providing structured coaching, regular feedback, and clear direction on account planning and execution.
• Direct sales professionals to work efficiently and expand influence across targeted accounts.
• Develop the team’s AI fluency and influence new process adoptions.
• Collaborate with cross-functional teams, including marketing, finance, legal, and operations, to deliver partner success and manage deal execution.
• Develop sales strategies that ensure Fetch remains a preferred partner, informed by performance insights, partner segmentation, and industry benchmarks.
• Apply a deep understanding of how Fetch’s advertising solutions drive partner business outcomes, connecting campaign performance to key KPIs.
• Contribute to account-level planning and the implementation of revenue strategies within the industry, leveraging data and insights to influence decisions.
• Maintain Salesforce hygiene and accuracy, ensuring data integrity for forecasting and reporting.
• Serve as an ambassador for Fetch within the industry, representing the company with professionalism and credibility in partner interactions and events.

Senior Director, Industry Lead, Mid-Market/Growth

Account Manager

• Own individual revenue targets and contribute to pod revenue goals
• Develop strategies to retain and grow client partnerships, positioning Fetch as a strategic, long-term partner.
• Strategize against deadlines and navigate evolving priorities, modeling resilience for the broader team.
• Build consultative relationships with mid-level or executive client contacts by communicating clearly, following through on tasks, and supporting complex account strategies.
• Drive client engagements by leading partner calls, managing touchpoints, and capturing follow-ups so clients feel consistently supported.
• Develop and maintain partner deliverables such as campaign performance, one-off requests, and analytics requests.
• Own campaign-level decisions within pod strategy, escalating broader risks to your sales counterpart or manager.
• Independently manage the onboarding of new clients and brands, campaign set up, and coordinating materials, so partnerships launch smoothly and expectations are met from the start. Utilize AI-enabled platforms to ensure precision and efficiency.
• Directly manage inputs for campaign setup and programming, using standardized workflows and templates to ensure accuracy and minimize errors.
• Partner with internal teams to track, organize, troubleshoot, and optimize client performance, leveraging AI tools to proactively detect trends or performance risks.
• Collaborate closely with your sales counterpart to drive upsells and expand Fetch’s share of partner budgets using data and trend analysis.
• Ensure clients have access to timely reporting to guide budget allocation, leveraging dashboards to improve transparency and decision-making.
• Work with limited oversight to ensure that partners have access to the data and reporting needed to optimize budget allocation and increase spend, using AI-generated dashboards and insights to surface key opportunities
• Translate data and performance trends into clear, actionable recommendations for clients.
• Independently prepare and deliver client presentations and reviews, including QBRs, using AI to translate complex data into clear insights with visual narratives that drive strategic action.
• Manage revenue actualizations and billing processes, ensuring financial records are accurate and compliant.
• Utilize sales-enablement, AI, automation tools and demonstrate a growth mindset toward adopting new technologies and workflows to increase efficiency.

Senior Account Manager, Growth

• Own individual revenue targets and contribute to pod revenue goals
• Develop strategies to retain and grow client partnerships, positioning Fetch as a strategic, long-term partner.
• Strategize against deadlines and navigate evolving priorities, modeling resilience for the broader team.
• Build consultative relationships with mid-level or executive client contacts by communicating clearly, following through on tasks, and supporting complex account strategies.
• Drive client engagements by leading partner calls, managing touchpoints, and capturing follow-ups so clients feel consistently supported.
• Develop and maintain partner deliverables such as campaign performance, one-off requests, and analytics requests.
• Own campaign-level decisions within pod strategy, escalating broader risks to your sales counterpart or manager.
• Independently manage the onboarding of new clients and brands, campaign set up, and coordinating materials, so partnerships launch smoothly and expectations are met from the start.
• Utilize AI-enabled platforms to ensure precision and efficiency.
• Directly manage inputs for campaign setup and programming, using standardized workflows and templates to ensure accuracy and minimize errors.
• Partner with internal teams to track, organize, troubleshoot, and optimize client performance, leveraging AI tools to proactively detect trends or performance risks.
• Collaborate closely with your sales counterpart to drive upsells and expand Fetch’s share of partner budgets using data and trend analysis.
• Ensure clients have access to timely reporting to guide budget allocation, leveraging dashboards to improve transparency and decision-making.
• Work with limited oversight to ensure that partners have access to the data and reporting needed to optimize budget allocation and increase spend, using AI-generated dashboards and insights to surface key opportunities
• Translate data and performance trends into clear, actionable recommendations for clients.
• Independently prepare and deliver client presentations and reviews, including QBRs, using AI to translate complex data into clear insights with visual narratives that drive strategic action.
• Manage revenue actualizations and billing processes, ensuring financial records are accurate and compliant.
• Utilize sales-enablement, AI, automation tools and demonstrate a growth mindset toward adopting new technologies and workflows to increase efficiency.

Senior Account Manager, New Business

• Support outreach by managing prospect lists, preparing briefs, and joining early conversations
• Assist in relationship mapping, leveraging LinkedIn or ZoomInfo with support from leaders
• With oversight, generate revenue by actively converting partners and prospects into long-term strategic relationships
• Draft proposals and sales materials using templates and summaries, with guidance from senior teammates
• Learn Fetch processes and tools to support offer execution and maintain data hygiene
• Leverage AI-enabled tools to accelerate learning, support research, and drive efficiencies in prospecting, meeting prep, and pipeline hygiene
• With guidance, develop a data story for partners by surfacing key campaign takeaways, frequently using AI to identify trends or summarize impact
• With guidance from your manager and team, learn and articulate Fetch’s value proposition and ad products
• Build internal relationships with Account Managers and Industry Leads to understand campaign setup and client needs
• Handle assigned tasks like data entry, post-meeting follow-ups, and call recaps to support pod execution, with growing use of AI to assist
• Support deal workflow through accurate documentation and shadowing on order form creation
• Maintain pipeline records in Salesforce, flagging gaps and updates to ensure accuracy
• Learn how to plan account activity by contributing to growth forecasts or opportunity tracking
• Support accurate pacing and basic forecasting to ensure predictable delivery, leaning into AI models to help shape these insights
• Have a growth mindset toward new tools and AI-assisted workflows and demonstrate Fetch values
• Identify minor inefficiencies or partner feedback and share them with the pod, learning how AI tools may help address recurring issues or speed up repetitive tasks
• Prioritize and meet both internal and external deadlines

Partner Manager, New Business

Full-stack Engineer

• Design and scale core services for LLM-driven support tooling by building modular systems that classify customer issues, recommend ticket types, and propose resolution paths using real-time, trusted data.
• Build user-facing and agent-facing APIs for support decisioning by developing well-structured APIs that support consistent ticket intake, enrichment, routing, and recommendation outputs across automated chat surfaces and internal agent tools.
• Implement a secure customer context retrieval layer by building services that assemble only the necessary contextual data with strict access controls, PII minimization, and auditing, enabling safe, data-driven personalization.
• Build human-in-the-loop workflows for action approval by designing mechanisms that route LLM recommendations to agents for review with clear rationale, supporting evidence, and suggested responses, ensuring humans remain the final approvers in early phases.
• Develop evaluation, monitoring, and observability for LLM-powered support by instrumenting tracing, structured logs, and metrics to monitor end-to-end flows including latency, success rate, recommendation acceptance rate, accuracy, escalation rate, and error modes, and by enabling offline evaluation and controlled online experiments.
• Enable phased automation with confidence gates and risk controls by building a path to no-human-in-the-loop execution for specific ticket types only after defined accuracy and safety thresholds are met, with safeguards including confidence scoring, tiered permissions, rate limiting, anomaly detection, kill switches, and comprehensive audit trails.
• Partner across Support, Product, Data Science/ML, and Risk/Compliance to define what “accuracy” and “safe automation” mean, establish review processes, align on policies, and ensure the system meets operational and regulatory requirements.
• Raise the bar on backend architecture, reliability, privacy and security, and responsible automation patterns, helping the team build systems that are both fast to iterate and safe to deploy at scale.

Staff Software Engineer

• Design, build, and ship new iOS features from early concepts, design mocks, or loosely defined ideas for a rapidly growing user base.
• Apply Human Interface Guidelines to deliver intuitive, high-quality user experiences.
• Extend, refactor, and maintain existing codebases while improving performance across networking, UI rendering, and data management.
• Collaborate with cross-functional partners and clearly communicate technical tradeoffs, risks, and solutions to non-technical stakeholders.
• Debug, profile, and optimize application performance using Xcode and related tooling.
• Write and maintain unit tests, UI tests, and automation to ensure reliability and quality.
• Take ownership of ambiguous technical problems and drive them to resolution with minimal guidance.
• Contribute to shared frameworks and systems that enable large, distributed engineering teams to move quickly.
• Stay current with developments in the iOS ecosystem and actively explore AI-powered tools that improve developer productivity and engineering efficiency.

iOS Software Engineer

Data Scientist

• Take ownership as the DRI (Directly Responsible Individual) for all partners within a designated sub-vertical.
• Act as the primary Analytics contact for Sales managers, requiring little oversight from the Analytics Director and Senior Director.
• Support your team and effectively manage the capacity of your peers to ensure deadlines are met and projects are properly prioritized.
• Utilize extensive knowledge of Fetch's offerings to impact partner performance positively.
• Independently manage senior-level partner questions, demonstrating a high level of expertise in Food & Beverage data and insights.
• Lead analytic engagement during client calls, showcasing experience in client interaction, objection handling, and problem resolution.
• Manipulate data effectively using SQL, ensuring accurate and insightful analysis.
• Craft compelling narratives and insights, effectively communicating analytic findings to both technical and non-technical stakeholders in a way that leads to clear recommendations and proposed next steps.
• Influence Sales verticals to run campaigns better suited to hitting partner KPIs, driving strategic alignment.
• Collaborate in crafting narratives for Quarterly Business Reviews (QBRs), providing valuable insights into Fetch performance.

Analytics Lead – Analytics, Insights and Measurement

Data Engineer

• Design, build, and operate scalable data pipelines using batch and real-time processing technologies such as Apache Spark, Kafka, Flink, or managed cloud streaming services to process terabytes of data daily
• Build data infrastructure that ingests real-time events and stores them efficiently across databases, data warehouses, and data lakes within AWS
• Establish and enforce data contracts with backend engineering teams by implementing schema management, data quality checks, and monitoring to ensure pipeline reliability
• Make data accessible and consumable for operational services, analytics platforms, and data-intensive product features, balancing latency, freshness, and accuracy requirements
• Collaborate closely with backend engineers, machine learning engineers, and product partners to understand data access patterns, system constraints, and quality expectations
• Take ownership of significant portions of the data platform architecture, driving design decisions and technical prioritization
• Develop tools, frameworks, and recommended patterns that enable rapid development of data products and consistent pipeline deployments
• Mentor engineers on data engineering best practices and raise the overall quality bar across the organization
• Stay current with emerging technologies in data processing and infrastructure, evaluating their applicability and impact on Fetch systems

Senior Data Engineer

Android Engineer

• Build and maintain Android features that support Fetch Play gameplay and rewards, collaborating with backend teams and partners to create high-quality user experiences.
• Integrate with partner APIs and marketing tech systems, ensuring rewards attribution is accurate and reliable.
• Optimize shoppability flows for performance and ease of use, reducing friction from product discovery through to purchase planning.
• Collaborate with product and design to ensure users can quickly find and activate offers most relevant to them.
• Monitor and improve engagement metrics, helping the team track how features drive user adoption and rewards redemption.
• Work across backend, data, and marketing tech teams to bring new partner integrations and e-commerce capabilities into the app.

Machine Learning Engineer

• Build and scale ML models across the scan, match and catalog pipeline, supporting receipt understanding, product matching, and catalog enrichment.
• Implement and iterate on active learning strategies, including data sampling, error-driven retraining, and human-in-the-loop workflows.
• Leverage LLMs to reduce model training and annotation effort, including synthetic data generation, assisted labeling, weak supervision, and error analysis.
• Own ML experimentation, evaluation, and production inference for assigned SMaC components.
• Collaborate with product, data, and platform partners to translate quality gaps into ML improvements.
• Maintain high standards for model performance, reliability, and data quality.
• Use AI tools to accelerate your work, including designing features and validating ideas with ChatGPT & Claude sandboxes, leveraging AI for code generation and technical prototyping, and using AI assistants for systems architecture diagramming and design validation.

Senior Machine Learning Engineer

Platform Engineer

• Own Core Data Platform Architecture
• Design and evolve platform components built on Iceberg-backed data storage.
• Define how data platform services are structured, composed, and consumed across teams.
• Take a prescriptive, system-level approach to platform design to reduce fragmentation and complexity.
• Define & Enforce Data Contracts
• Establish standards for data schemas, ownership, and lifecycle management.
• Build mechanisms to validate and enforce contracts across ingestion and downstream consumers.
• Orchestration & Workflow Design
• Design and own orchestration patterns within the internal data platform service.
• Guide how distributed processing workloads (e.g., Spark-based jobs) are scheduled, retried, and monitored.
• Reliability, Scalability & Cost Awareness
• Improve platform resilience, failure isolation, and recovery patterns.
• Partner with Finance and Engineering to improve cost visibility and efficiency of data workloads.
• Mentorship & Technical Leadership
• Mentor Data Platform Engineers and raise the technical bar across the platform team.
• Review designs, guide implementation decisions, and influence long-term platform strategy.
• Cross-Functional Influence
• Collaborate with Product, Analytics, ML, and Infrastructure teams to align data platform capabilities with business needs.
• Act as a trusted technical partner for high-impact data initiatives.
• AI Fluency in Platform Engineering
• Integrate AI-assisted tooling into data platform workflows to accelerate design, validation, and troubleshooting.
• Evaluate emerging AI tools for data and platform engineering, balancing speed with reliability, security, and correctness.

Senior Data Platform Engineer

• Design, implement, and maintain data ingestion pipelines using AWS-native data tools and distributed processing frameworks.
• Support batch and streaming ingestion patterns with a focus on reliability, scalability, and observability.
• Operate and improve core data platform services, addressing incidents, performance issues, and operational toil.
• Implement monitoring, alerting, and runbooks to improve platform stability and on-call readiness.
• Work with distributed data processing systems (e.g., Spark-based workloads) and orchestration frameworks.
• Debug production issues across compute, storage, and networking layers.
• Contribute to Infrastructure as Code (Terraform, CloudFormation, or CDK) and CI/CD workflows.
• Help improve automation around deployments, scaling, and platform maintenance.
• Partner with data producers and consumers to onboard pipelines, troubleshoot issues, and improve platform usability.
• Learn and apply platform standards and best practices defined by senior engineers.
• Use AI-assisted tools to accelerate development, troubleshoot issues, and validate infrastructure or pipeline code—while ensuring correctness, security, and performance through testing and review.

Data Platform Engineer

Director

• Engage high-profile prospects by sending sales outreach, preparing briefs, and representing Fetch at high-impact industry events
• Drive thought leadership about Fetch and AI’s role in loyalty, commerce, and media
• Generate revenue by actively converting partners and prospects into long-term strategic relationships, securing long-term revenue commitments
• Independently articulate Fetch’s value proposition and ad products
• Work cross-functionally with Industry Leads, Account Managers, and leadership to align strategies and insights into multi-stakeholder projects and partnerships.
• Strategically plan and grow accounts from test to full partnership, utilizing AI to make performance predictions, investment path modeling, streamline revisions, format outputs, and visualize data-backed recommendations
• Interpret and articulate various data sets and use tools to generate insights. This may include AI-powered dashboards, market intelligence platforms, and campaign optimizers
• Own the development and continuous improvement of strategic playbooks, best practices, and onboarding tools for the team, building frameworks that embed AI into standard Fetch sales processes across verticals
• Develop creative solutions to address complex sales challenges and unlock revenue opportunities, applying AI to design, test, and refine strategic pitches
• Full ownership of forecasting for your book of business, both quarterly and annually, with minimal oversight, leveraging AI-powered sales forecasting and scenario tools as needed for increased precision
• Develop gap-to-quota plans, supported by AI-generated forecasts and conversion probability insights
• Expertly manage Salesforce hygiene, using AI tools to maintain clean records, managing pipelines to identify areas of opportunity/risk, and track conversion
• Prioritize and meet both internal and external deadlines
• Influence vertical strategy internally and externally, especially in shaping AI-aligned Go-To-Market plans or competitive responses
• Coach and mentor other Fetch sellers to up-level overall sales effectiveness by leading knowledge sharing across sales
• Play an active role in hiring and shaping Fetch’s partner manager team culture and structure
• Demonstrate Fetch's values with a growth mindset, especially toward new tools and AI-assisted workflows
• Identify inefficiencies or partner feedback and share them with the pod, leveraging AI tools to solve for recurring issues or speed up repetitive tasks
• Share partner feedback and learnings with the team to optimize processes and surface industry trends, leveraging AI tools or competitive intelligence when available
• Manage complex organizational structures within partner accounts, leveraging LinkedIn or ZoomInfo, in order to drive executive buy-in

Senior Partner Director – Enterprise Beverage

Engineering Manager

• Lead and develop backend platform engineers responsible for core services
• Remain highly hands-on in backend system design, architecture, and critical coding efforts
• Set and uphold technical standards for scalability, reliability, and operational excellence
• Partner with engineering teams across Fetch to support shared platform needs
• Represent the platform teams in technical and organizational discussions
• Drive prioritization and strategy, including identifying low-impact work to avoid
• Balance delivery, system health, and developer experience when making tradeoffs
• Foster a culture of technical excellence, ownership, and empathy
• Support hiring, onboarding, and team growth aligned with approved headcount
• Improve development workflows, tooling, and service ownership models as the platform scales
• Leverage AI-assisted tools to improve development velocity, code quality, and documentation

Engineering Manager, Core Services

• Partner closely with Sales to identify creative and strategic opportunities that align with partner objectives and unlock revenue potential.
• Translate partner goals, insights, and challenges into clear creative strategies, campaign narratives, and pitch-ready ideas.
• Develop compelling pitches, decks, and thought leadership materials that bring Fetch’s brand and performance value to life.
• Act as a strategic lead in customer-facing meetings, helping brands feel understood while demonstrating Fetch’s creative and business impact.
• Collaborate cross-functionally with Product, Marketing, Sales, and other internal stakeholders to vet ideas and ensure feasibility and alignment.
• Support ideation and storytelling for enterprise-level campaigns, tailoring approaches by vertical, audience, and business goal.
• Proactively bring new creative ideas, partnership concepts, and POVs to the Sales team.
• Help shape Fetch’s creative presence in the market by contributing to playbooks, best practices, workshops, and inspiration libraries.
• Facilitate creative workshops and brainstorming sessions with internal teams and external partners as needed.