Director, Artificial Intelligence
Listed on 2026-10-17
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IT/Tech
AI Business & Operations, AI Engineer (Applied/Software)
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!
- 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
- 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
- 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
- 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,…
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