FULLTHROTTLE

Lead and build the Customer Success function managing a team and maintaining partner relationships. | 8+ years in customer success or media partnerships with 3+ years managing teams and experience with co-sell models and senior stakeholder management. | About the role fullthrottle.ai's Channel Partnership business is built on deep relationships with major broadcast and radio media organizations, giving us reach into thousands of local and regional advertiser accounts through a co-sell motion between our Performance Strategist team and each partner's seller network. This Director role leads and builds the CS function for that entire line of business: managing a team of Customer Success Managers across partner markets, owning the health and retention of the advertiser portfolio, and holding the relationship with our media partners at the operational and leadership level. This role will report to the EVP of Customer Success. What you'll do Team leadership. Lead and develop the CS team aligned to partner markets. Set performance expectations, own hiring, coach on execution and narrative, and run a weekly market review covering at-risk accounts, expansion, and seller escalations. Partner relationships. Hold the institutional relationship with media partner leadership. Own QBRs, resolve escalations before they become relationship problems, and maintain a working understanding of each partner's internal priorities and seller incentive structures. Market health and portfolio accountability. Own retention rate, revenue at risk, campaign performance, and expansion pipeline across all active partner markets. Define benchmarks, own the at-risk review process, and report to the EVP on a defined cadence. Retention and expansion. Set retention targets by market, own the renewal framework, and partner with Platform Success to identify and pursue growth opportunities within the portfolio. CSMs deliver the conversation; you ensure it is happening at the right accounts at the right time. Playbook development. Define and document the Channel Partnership CS operating model: seller onboarding sequence, MBR format, at-risk protocol, renewal process, and escalation paths. Lead the CS org go-live for this LOB on August 1, 2026. Cross-functional leadership. Partner with PS on POD alignment and joint go-to-market strategy. Work with Finance on forecasting and renewal modeling. Represent the Channel Partnership LOB in CS leadership. Platform Success collaboration. Work closely with the Platform Success team on portfolio-level analytics, expansion narratives, and at-risk account briefs. Ensure Platform Success is engaged on the right accounts at the right moments. Senior leadership engagement. Partner with the EVP of Customer Success and cross-functional leadership on strategic initiatives, org-level priorities, and CS programs that extend beyond day-to-day account management. Thought leadership. Serve as a thought leader internally and externally on AI use cases, responsible AI practices, and digital transformation strategies relevant to our partners and the advertisers they serve. Product influence. Provide feedback to product teams to influence the roadmap based on client needs and industry trends surfaced from the Channel Partnership portfolio. Qualifications Required 8+ years in customer success, account management, or media partnership roles, with at least 3 years managing a team. Experience working within or alongside a channel or co-sell model, managing CS through a third-party seller relationship rather than directly with the end advertiser. Strong command of campaign performance data and attribution metrics, with the ability to translate performance narratives for both advertiser and partner seller audiences. Track record of building and holding a team accountable to retention and expansion targets in a performance-oriented environment. Experience managing up with senior partner stakeholders: comfortable in QBR settings, able to represent fullthrottle.ai's value at the director level. Comfort operating in a platform-native environment. This role requires active use of the FT platform for account monitoring, reporting, and team oversight. Strong judgment on when to escalate, when to resolve, and when to let CSMs lead. Preferred Direct experience with broadcast, radio, or local TV media companies and their advertising sales structures and seller incentive models. Familiarity with programmatic advertising, first-party audience targeting, and transaction-level attribution (SafeMatch or equivalent closed-loop measurement). Experience building a CS function or playbook from scratch in a high-growth environment where the operating model was not yet defined. Player-coach experience, including managing a team while carrying some direct account relationships or operational responsibilities.

Build and manage production-grade AI APIs, microservices, and scalable infrastructure on AWS with CI/CD and observability. | Requires 2+ years AI engineering, expert Python and AWS skills, Terraform experience, and a bachelor's degree in CS or related field. | As a fully remote, fast-growing startup, we move quickly, embrace innovation, and follow an Agile/Scrum framework to deliver impactful solutions. We're looking for someone who thrives in a collaborative environment, enjoys solving complex technical challenges, and wants to help build and scale the future of AI at fullthrottle.ai. The Role: As our AI Platform Engineer, you will ensure the reliable, secure, and scalable deployment of AI systems across fullthrottle’s platforms. You’ll focus on building and managing production infrastructure, developing robust APIs and microservices, and optimizing for cost-effective operations. This role requires hands-on expertise in AI/ML platform engineering, production deployment of AI systems, infrastructure as code, and cloud-native engineering to deliver high-performance AI solutions. You will play a pivotal role in implementing best practices for deploying, operating, and scaling AI/ML systems in production, defining infrastructure as code for AWS, and driving observability and optimization across our AI production environments. Key Responsibilities: API & Microservices Development: Build and manage production-grade APIs and microservices to support scalable AI deployments. AI Agent Development: Build, tune, and deploy AI agents using Amazon Bedrock AgentCore Runtime and the Strands Agent SDK. Design system prompts, implement tool routing, and optimize for latency and accuracy. Infrastructure as Code: Define and manage Terraform modules for AWS services (Lambda, S3, RDS, OpenSearch, etc.). Observability & Monitoring: Monitor system performance and implement observability practices using tools such as New Relic, Cloudwatch, and OpenTelemetry to ensure reliability, proactive alerting, and rapid issue resolution. CI/CD Pipelines: Build and maintain CodePipeline/CodeBuild pipelines for automated testing, Docker builds, and ECS deployments. Optimization: Optimize infrastructure and operations for cost, latency, and reliability, ensuring efficient use of resources. Compliance & Security: Ensure systems meet compliance standards and maintain robust security controls. Required Qualifications: Experience: Minimum 2+ years of hands-on AI engineering experience, including building and deploying scalable infrastructure for AI/ML systems. Technical Expertise: Expert-level Python and AWS (Lambda, API Gateway, CloudWatch). AI/ML Experience: Hands-on experience with AI/ML systems, including model integration, inference workflows, or lightweight model development, along with Amazon Bedrock (including AgentCore Runtime), LLM prompt engineering, or agent frameworks. Must be comfortable building and iterating on AI/ML-driven application logic and agent workflows in production. Infrastructure as Code: Strong experience with Terraform and/or CloudFormation for AWS resource management. Production Experience: Proven ability to operate large-scale, multi-tenant SaaS architectures in production. Monitoring & Optimization: Deep understanding of system monitoring, cost optimization, and compliance in cloud environments. Education/Certifications: Bachelor’s degree in Computer Science, Data Engineering, or a related field. Relevant certifications in AWS or DevOps are a plus. Collaboration: Proven ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders. You're Not a Fit If... You haven’t previously built and managed production-grade APIs or infrastructure for AI systems. You are not an expert in Python and/or AWS. You prefer a slow-moving environment and are not comfortable with the pace of a startup. You prefer to react to problems rather than plan ahead strategically. You do not want to be hands-on with the technical details of the role. Our Core Principles: We're a team that believes in big ideas and fast execution, adopting a "crawl, walk, run" approach to innovation. We're looking for someone who embodies these principles: Customer Centricity: We always put our customers first. Growth Mindset: We are constantly learning and evolving. Accountability & Integrity: We take ownership and act with honesty. Collaboration & Humility: We work together and value every voice. Open Communication: We believe in transparency and direct feedback. If you are a passionate, experienced AI platform engineer with a drive to build and optimize advanced AI infrastructure, we want to hear from you. This is an opportunity to make a real impact at a dynamic and growing company.