Technical Product Owner

Job Description

Job Description

At Veracity, we aim to be a different kind of insurance partner—one that is free from outside investors, venture capital, or the pressures of a corporate parent.

Ours is a culture of empowerment – one that believes in effort, results, and accountability. We believe that transparency fosters trust, trust fosters growth, and that growth drives innovation. Our commitment to rigorous evaluation and relentless execution lead to rapid evolution.

We answer only to the small business owners we serve, and this independence allows us to stay focused on what matters most : helping their businesses thrive by providing expert guidance and best-in-class insurance policies.

We’re growing fast and want you to be a part of it!

We’re looking for a talented, forward-thinking, and detail-oriented Technical Product Owner to join our team. Under the direction of the Vice President of Product Operations this role will serve as a strategic liaison between data science teams, AI / ML engineers, underwriters, brokers, risk managers, and executives to identify and deliver AI solutions that streamline commercial insurance workflows – from underwriting to claims.

Ideally, we’d like to hire locally in Utah and have this person work a hybrid schedule, coming into the office once a week and as needed for key meetings or events. However, we’re open to a fully remote arrangement in our other hiring states if we find the right fit.

Key Responsibilities

• Own the product backlog and roadmap for AI initiatives in commercial lines (e.g., property, casualty, liability, marine, workers' comp), translating industry-specific challenges into actionable requirements for intelligent automation and predictive analytics
• Lead Agile ceremonies (daily standups, sprint planning, backlog grooming, retrospectives) with a focus on building AI-powered tools for risk scoring, quote generation, document processing (e.g., COIs, loss runs), and broker decision support
• Partner with underwriting and actuarial teams to define AI-driven pricing models and risk segmentation strategies using structured and unstructured data (e.g., submissions, inspection reports, third-party data, telematics, IoT)
• Integrate AI models into core commercial insurance platforms (e.g., Guidewire, Duck Creek, Applied Epic, AMS360), driving automation in submissions intake, policy issuance, renewals, and endorsements
• Manage delivery of NLP-based tools for document classification, data extraction from ACORD forms, and submission triage to reduce manual processing time and improve operational efficiency
• Support the operationalization of AI models in production environments, establishing performance benchmarks, compliance controls, and continuous learning workflows (e.g., retraining pipelines)
• Collaborate with risk engineering and claims teams to develop predictive models for claim frequency / severity, subrogation likelihood, and fraud detection tailored to commercial exposures
• Leverage AI to optimize broker / agent-facing tools with intelligent recommendations, quoting assistants, and next-best-action workflows to support distribution and retention
• Stay ahead of industry trends and evolving regulatory frameworks related to AI, algorithmic decision-making, and data privacy in commercial insurance contexts
• Required to perform other duties as requested, directed, or assigned

Requirements and Qualifications

Perks

Why Veracity?

Here at Veracity, you’ll be part of a team of trailblazers and visionaries. We’re not just revolutionizing the way people “do” insurance; we are creating a whole new paradigm. Here, you will experience a vibrant and inclusive workplace where your ideas matter! With us, you have a chance to :

Compensation Range : $100k / yr - $110k / yr

We are proud to be an equal-opportunity employer. We are committed to providing equal opportunities to all qualified applicants, regardless of race, color, religion, sex, national origin, disability, or any other legally protected characteristics.

If you need accommodation, please let us know during the interview process.

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