Why Certus
At CERTUS, we’re building the leading platform for acquiring, growing, and integrating high-performing pest and home service companies across the U.S. As we scale, we’re investing in AI and machine learning to drive smarter, faster, and more profitable decisions across sales, operations, marketing, and customer care.
We’re not looking for theoretical AI. We want impact. From predictive scheduling to lead scoring, from route optimization to agent performance modeling — you’ll help us turn data into growth.
About The Role
We’re hiring a mid-level AI & Machine Learning Engineer to help us solve high-value problems across our national field operations and sales teams. You'll work cross-functionally with marketing, sales leadership, dispatch, customer care, and regional operators to build ML solutions that are deployed — and used — in the real world.
This role blends technical execution with a strong understanding of how AI drives measurable outcomes like revenue per appointment, jobs per day, and churn reduction.
Key Responsibilities
Develop, train, and deploy models to:
Score and prioritize inbound leads for sales agents
Predict appointment outcomes (no-shows, reschedules, close probability)
Recommend optimal appointment windows and tech routine
Forecast technician capacity needs by region and season
Analyze agent talk tracks and performance using NLP on call transcripts
Partner with operations and sales teams to identify high-impact automation or prediction use cases
Package models for use via internal dashboards, APIs, or embedded tools
Support continuous improvement by retraining and tuning models based on business feedback
Translate field-level insights into data features and modeling opportunities
Ideal Candidate Profile
3–5 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
Strong Python and SQL skills, with experience in Scikit-learn, XGBoost, TensorFlow, or PyTorch
Proven track record of production-level deployment of ML models (batch or real-time)
Strong grasp of model performance metrics and business alignment
Experience working with business stakeholders in Sales, Operations, or Customer Service
Knowledge of cloud environments (GCP preferred), MLOps tools (MLflow, Vertex AI, or similar), and REST APIs
Nice-to-Haves
Familiarity with route optimization, geospatial data, or technician dispatching logic
Experience with predictive modeling in sales funnels (e.g., LTV, churn, conversion scoring)
Exposure to voice analysis or call center automation tools (e.g., Twilio, RingCentral APIs)
Prior experience in home services, logistics, or field-based businesses
Basic understanding of Tableau, Power BI, or dashboard integration for model outputs
Success Metrics (KPIs)
Sales - Increase in close rate or revenue per appointment
Lead Prioritization - Lift in conversion from AI-scored leads
Routing - Reduction in drive time or jobs-per-tech variance
Capacity Forecasting - On-time % of appointments and reduced OT costs
Call Analysis - Improved agent adherence or objection handling
Adoption - # of teams actively using model insights
Why This Role Matters At CERTUS
This role isn’t about building models for the sake of it. It’s about driving real operational leverage. With a national footprint, seasonal variability, and high-volume lead flow, AI isn’t optional — it’s how we scale smarter. You’ll work at the intersection of data, execution, and revenue — with a clear mandate to drive measurable impact and the autonomy to do it.
Why Join CERTUS?
- A growing platform backed by top-tier investors
- Clear, high-impact projects tied to revenue and operational efficiency
- A team that values speed, ownership, and real-world results
- Remote flexibility with strong support from business stakeholders
- Opportunity to shape the future of AI in home services at scale
Ready to turn data into growth? Apply now and help us bring intelligence to every part of our business — from lead to job to delighted customer.
