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Open nowPosted 6 days ago

Director, Artificial Intelligence

Aptive Environmental41 open roles

Where
Provo, UT
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Your applicationOpen nowDirector, Artificial IntelligenceAptive Environmental · Provo, UT

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Aptive Environmental postings stay open a median of 29 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 6 days ago

Aptive Environmental median: 29 days open

The posting

Location Zip Code:

84604

Job Family:

Technology

We are seeking a hard-working, innovative, detail-oriented and creative team player to join our Aptive team! This is a full-time Director, Artificial Intelligence position located in Provo, Utah. Aptive has grown from a 2015 startup into one of the fastest-growing pest control companies in the US, serving 76 markets with 2,600+ employees. Our Pest Intelligence Center already blends AI, technician field observations, customer service data, and environmental modeling to forecast pest activity — and we're looking for the leader who takes that from a promising capability to a durable competitive advantage.

This is a new role and a builder's role. You'll define Aptive's AI strategy and then personally help ship it: models that decide how we route technicians, when we treat a property, which customers are at risk, and how our service teams spend their time. Success is measured in operational outcomes — retention, route density, first-time resolution — not in papers or proofs of concept.

What we offer:

  • $200k Salary
  • Annual Merit bonus of up to 20%
  • Group Health, Dental, and Vision plans
  • Pet insurance, Life insurance, and EAP benefits
  • 401K with employer match up to 4%
  • Paid holidays and paid time off
  • Opportunity for advancement
  • Upbeat and exciting company culture and much more!

Responsibilities include:

  • AI strategy and roadmap for the Technology organization, prioritized by business impact and sequenced against real data and platform readiness
  • The Pest Intelligence Center — evolving pest activity forecasting into proactive service planning across all markets
  • Applied ML in production: demand and pest-pressure forecasting, route and scheduling optimization, churn and retention modeling, dynamic pricing inputs, and lead qualification for our sales channels
  • Customer and technician-facing AI: contact center automation, agent assist, and decision support in the technician mobile experience
  • Team building — hiring and growing a team of ML and data scientists, and setting the standards, tooling, and review practices they work to
  • Partnership with Data Engineering on the warehouse and feature infrastructure these models depend on
  • AI governance: model monitoring, drift detection, bias review, data privacy, and a clear position on responsible use of customer data

What the first year looks like

  • Days 1–90: Audit existing AI and data assets, including the Pest Intelligence Center. Deliver a prioritized roadmap with named business owners and defined success metrics
  • Months 3–6: Ship or measurably improve two production models tied to P&L outcomes. Stand up model monitoring and a deployment path
  • Months 6–12: Hire the core team. Establish the intake process by which the business requests AI work, and demonstrate compounding returns on at least one flagship initiative

Requirements:

  • 8+ years in data science, machine learning, or AI, including 3+ years leading teams
  • A track record of ML systems in production that changed a business metric — you can explain the metric, the lift, and how you measured it
  • Depth in forecasting, optimization, or recommendation systems
  • Strong Python and SQL; fluency with a modern cloud data stack (we run Snowflake)
  • Experience with LLM-based applications, and the judgment to know when they're the wrong tool
  • Ability to translate between executives and engineers, and to say no to low-value AI requests
  • Hands-on enough to review a colleague's model and debug a pipeline

Nice to have:

  • Field service, logistics, home services, route-based operations, or seasonal-demand businesses
  • Geospatial or environmental modeling
  • Built a data science function from scratch at a mid-size company
  • MS or PhD in a quantitative field

Aptive Intelligent Pest Control™ is redefining the industry with a smarter, more proactive approach to pest control. By analyzing millions of pest data points across neighborhoods, pest activity, and weather patterns, Aptive tailors treatment plans to help homeowners stay one step ahead. We geek out so our customers don’t freak out. You never thought bugs could be this cool.

Our culture is built on accountability, discipline, and high integrity—we work hard and have fun doing it. Aptive has been recognized for both its impact and workplace culture, including Inc. Magazine’s Best in Business and Best of State, Glassdoor’s Top 100 U.S. Workplaces, and Entrepreneur Magazine’s Best Companies in America. And we’re just getting started.

To learn more, visit www.aptivepestcontrol.com or follow Aptive on Facebook (@AptivePestControl), Instagram (@Aptive.PestControl), and LinkedIn (@AptiveEnvironmental).

*Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please inform your recruiter.

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