Technical Product Owner Job at Veracity Insurance, Pleasant Grove, UT

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  • Veracity Insurance
  • Pleasant Grove, UT

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
  • Bachelor's degree in Computer Science, Data Science, Business, Insurance, or related field, or equivalent experience required; advanced degrees or AI and Project Management certifications a plus
  • 5+ years of experience as a Technical Product Owner, Product Manager, or Business Analyst in commercial insurance, with 2+ years directly supporting AI/ML initiatives
  • Proven experience delivering AI/ML-driven solutions in commercial insurance domains such as underwriting automation, loss control, claims analytics, or digital broker enablement
  • Strong knowledge of commercial insurance operations, workflows, and key data sources, including property risk characteristics, submission data, COPE information, and loss history
  • Skilled in writing user stories and epics involving AI workflows, such as NLP for submission parsing, predictive models for risk scoring, or ML-enabled triage systems
  • Familiarity with insurance platforms and ecosystems (e.g., Guidewire PolicyCenter, Duck Creek, AMS360, Applied Epic), and their integration with AI tools
  • Experience working in Agile/Scrum environments and using tools such as JIRA, Confluence, Miro, or BPMN platforms
  • Understanding of the ethical and regulatory implications of using AI in commercial insurance underwriting and claims decisions (e.g., bias mitigation, model explainability)
  • Experience working with/integrating AI models like Google Cloud, Amazon SageMaker, MS Azure AI, Salesforce Einstein, IBM Watsonx, OpenAI, or DataRobot
Perks
  • Health, dental, and vision plans
  • Amazing work-life balance with 4 weeks of Paid Time Off
  • 9 Paid Company Holidays with 2 floating holidays
  • 401K Programs with employer match
  • Personal assistant programs for support in a healthy personal and work life
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:
  • Engage in groundbreaking projects that are reshaping the insurance landscape
  • Collaborate with a group of dedicated, like-minded professionals
  • Experience a culture that prioritizes growth and development
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.

Job Tags

Full time, Work at office, Remote work, 1 day per week,

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