POSITION SUMMARY

The Product Manager, Engines owns the roadmap, prioritization, and operational excellence of Veritone’s cognitive engine ecosystem within aiWARE. This role ensures every engine—LLM, GPU-based, speech, computer vision, API-based, or custom—can be reliably onboarded, maintained, and operated inside Veritone aiWARE-compatible containers. You will bring clarity, accountability, and measurable performance standards to a team that is core to Veritone’s AI-First strategy.
This role is part product leadership, part vendor strategy, and part internal operations. Your north star is simple: All Veritone customers and employees have confidence in our engine operations.

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WHAT YOU'LL DO

Strategic Leadership & Roadmapping

• Define and maintain the engine roadmap across onboarding, LLM readiness, GPU support, bilingual engines, and ongoing maintenance.

• Prioritize work across new engine onboarding, test harness completion, legacy engine upkeep, and cross-functional initiatives in support of other internal teams.

• Clarify business objectives, expected outcomes, and readiness criteria before work begins.
   
  

Operational Excellence

• Own KPI definitions, internal analytics, and dashboards measuring engine reliability, throughput, onboarding cycle time, defect rates, and production readiness.

• Ensure predictable workflows: sprint planning alignment, pre-implementation prepping (contracts, pricing, vendor readiness), and bug-reduction goals.

• Lead structured status reporting on all major engine efforts and communicate risks early and consistently.
   

Vendor & Partner Management

• Lead cognitive vendor onboarding end-to-end, including QBRs, performance monitoring, contract readiness, and integration expectations.

• Maintain a unified vendor scorecard covering performance, cost, latency, accuracy, stability, and ease of integration.

• Ensure vendor engines meet Veritone aiWARE requirements for containerization, APIs, security, testing, and deployment.
   

Cross-Functional Coordination

• Serve as the connective tissue between Engines, AI Data (Search), Solutions, Platform (aiWARE), and business unit stakeholders.

• Ensure alignment with Veritone aiWARE infrastructure requirements for emerging engine types, GPUs, multimodal models, and external APIs.

• Partner with Public Sector and Data Science teams on high-visibility customer delivery efforts.
   

Documentation & Standards

• Produce and maintain clear documentation for:

  • Engine onboarding processes

  • Testing and validation (including automated test requirements)

  • Production readiness and maintenance expectations
    KPI dashboards & reporting

  • LLM readiness matrix and GPU capability readiness

• Drive standardization of engine implementation patterns, especially Go-based engines in the engine mono-repo.
   

Quality & Reliability

• Work with Engineering leadership to improve defect-prevention practices and reduce production bugs by tightening upstream requirements.

• Define acceptance criteria for every new engine integration.

• Advance the test harness initiative and other validation frameworks.

Key Objectives for the First 6–12 Months

• Improve internal confidence in engine reliability and operations, measured via defect rates, onboarding cycle time, and operational KPIs.
• Complete and operationalize test harness to standardize verification of engine correctness and integration health.
• Establish a unified dashboard for engine performance, vendor metrics, and readiness for emerging engine types .
• Establish clear ways of working between Engine Ops, Search (AI Data team), and Platform, such as where engine capabilities end and feature search/indexing begins.
• Increase predictability and reduce bugs by creating pre-implementation checklists and deal-readiness steps (contracts, pricing, sample data, etc.).

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WHAT YOU'LL NEED

• 4–8+ years of product management experience, ideally in AI/ML, MLOps platforms, cloud services, or developer tools.

• Strong technical foundation with experience in APIs, containerization, cloud infrastructure, or AI engine integration.

• Demonstrated ability to work cross-functionally with engineering, architecture, and customer-facing teams.

• Experience managing external vendors or AI service providers.

• Strong analytical discipline with a track record of building dashboards, KPIs, and operational metrics.

• Excellent communicator who can drive clarity, alignment, and urgency across multiple teams.

DISCLOSURE

Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

(Colorado & California Only*): The Annual salary listed for the position is a range of $140,000-$150,000. This base pay is for illustrative purposes only and will be determined based on skills and experience comparable to the job requirements. This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation; health benefits; retirement benefits; life insurance; paid time off; parental leave and benefits; and other employee perks and benefits.
 

*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado & California.

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