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Aptive

Residential and commercial pest control subscriptions

Director, Artificial Intelligence

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeProvo, UT, USA$200kIn-person

About the Job

Requirements

  • At least 8 years of experience in data science, machine learning, or artificial intelligence, including at least 3 years leading teams.
  • A track record of machine-learning systems in production that changed a business metric, including explaining the metric, the lift, and how it was measured.
  • Depth in forecasting, optimization, or recommendation systems.
  • Strong Python and SQL skills, and fluency with a modern cloud data stack; the company uses Snowflake.
  • Experience with large language model-based applications, and the judgment to know when they are the wrong tool.
  • Ability to translate between executives and engineers, and to decline low-value artificial intelligence requests.
  • Sufficient hands-on expertise to review a colleague's model and debug a pipeline.

Responsibilities

  • Define the artificial intelligence strategy and roadmap for the Technology organization, prioritizing by business impact and sequencing against data and platform readiness.
  • Evolve the Pest Intelligence Center's pest activity forecasting into proactive service planning across all markets.
  • Develop and apply production machine-learning solutions for demand and pest-pressure forecasting, route and scheduling optimization, churn and retention modeling, dynamic pricing inputs, and lead qualification for sales channels.
  • Deliver customer- and technician-facing artificial intelligence, including contact center automation, agent assistance, and decision support in the technician mobile experience.
  • Hire and grow a team of machine-learning and data scientists, and establish their standards, tooling, and review practices.
  • Partner with Data Engineering on the warehouse and feature infrastructure that models depend on.
  • Establish artificial intelligence governance, including model monitoring, drift detection, bias review, data privacy, and responsible use of customer data.
  • During the first 90 days, audit existing artificial intelligence and data assets, including the Pest Intelligence Center, and deliver a prioritized roadmap with named business owners and defined success metrics.
  • During months 3–6, ship or measurably improve two production models tied to profit-and-loss outcomes, and establish model monitoring and a deployment path.
  • During months 6–12, hire the core team, establish the business intake process for artificial intelligence work, and demonstrate compounding returns on at least one flagship initiative.

Desired Qualifications

  • Experience in field service, logistics, home services, route-based operations, or seasonal-demand businesses.
  • Experience with geospatial or environmental modeling.
  • Experience building a data science function from scratch at a mid-size company.
  • A master's degree or PhD in a quantitative field.

About the Company

Aptive

Residential and commercial pest control subscriptions

Aptive Environmental provides pest control for homes and businesses across the United States using environmentally responsible methods to treat common pests (ants, spiders, cockroaches, rodents, mosquitoes, termites). It uses a subscription model for year-round protection with quarterly visits, starting with a property inspection and ending with a customized treatment plan. If pests return between visits, Aptive will re-treat at no extra cost under a satisfaction guarantee. Its emphasis on eco-friendly solutions, predictable ongoing service, and nationwide reach helps build lasting customer relationships.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Provo, UT
Founded
2015

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