Interested in this AI/ML Engineer role at Vertafore?
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$120,000 \- $160,000 \+ VIP Bonus
Our fast\-paced and collaborative environment inspires us to create, think, and challenge each other in ways that make our solutions and our teams better. Whether you’re interested in engineering or development, marketing or sales, or something else – if this sounds like you, then we’d love to hear from you!
We are headquartered in Denver, Colorado, with offices in the US, Canada, and India.
$120,000 \- $160,000 \+ VIP Bonus
Vertafore is a leading technology company whose innovative software solutions are advancing the insurance industry. Our suite of products provides solutions to our customers that help them better manage their business, boost their productivity and efficiencies, and lower costs while strengthening relationships.
Our mission is to move InsurTech forward by putting people at the heart of the industry. We are leading the way with product innovation, technology partnerships, and focusing on customer success.
Our fast\-paced and collaborative environment inspires us to create, think, and challenge each other in ways that make our solutions and our teams better.
We are headquartered in Denver, Colorado, with offices across the U.S., Canada, and India.
JOB DESCRIPTION
We are seeking a Director, AI Marketing, to define and operationalize the go\-to\-market strategy, commercial narrative, messaging standards, and launch processes for Vertafore’s Velocity AI Platform and growing portfolio of Velocity AI agents. This director\-level individual contributor will report to the Chief Marketing Officer, align day\-to\-day with the Velocity AI Platform team, and partner across AI, product management, product marketing, sales enablement, PR, web, creative, and cross\-functional agent teams to bring AI innovation to market with a clear, differentiated, customer\-ready story.
The ideal candidate is a strategic product marketer and exceptional content creator who can translate complex AI capabilities into customer\-value narratives that drive belief and action. They are highly collaborative, influential without direct authority, and able to create clarity in a fast\-moving environment.
Core Requirements \& Responsibilities
Essential job functions include, but are not limited to, the following:
- NARRATIVE Lead the Velocity AI go\-to\-market and commercial narrative to build clarity around Vertafore’s AI innovation leadership and support the company’s broader Distribution Velocity viewpoint for the industry.
- LAUNCH PROCESS Create scalable frameworks and standards for launching new Velocity AI agents and ensure successful execution through direct ownership and partnership with product marketers and cross\-functional teams.
- ROADMAP TRANSLATION \& VALUE MESSAGING Partner with Product, Marketing, Finance, RevOps, Sales, and Enablement to translate roadmap priorities, packaging, pricing, and monetization strategy into customer outcomes, workflow impact, value proof points, and market\-ready messaging.
- PMM PARTNERSHIP Work with product marketing managers who own the products AI agents surface in to define enhanced product positioning, launch narratives, proof points, agent product naming, and supporting content.
- MESSAGING FRAMEWORK Establish and maintain the authoritative Velocity AI messaging framework, including positioning, FAQs, proof points, launch claims, and guidance on what teams can and cannot say. Partner with Product Marketing, Sales Enablement, Product Management, and go\-to\-market teams to keep materials clear, effective, and aligned.
- MARKET \& USE CASE EXPERTISE Bring customer, competitive, and AI\-in\-insurance insights into strategy. Build deep expertise in AI use cases, workflows, value drivers, customer impact, and monetization considerations across Vertafore’s agency, MGA, and carrier business segments.
- SALES ENABLEMENT Partner with Sales Enablement and product marketing to activate Velocity AI messaging through training, talk tracks, objection handling, and persona\-based value messaging.
- CONTENT STRATEGY Create and guide AI and insurance content, including thought leadership, launch narratives, adoption models, use case stories, scripts, customer education, and market\-facing assets.
- MARKETING INTEGRATION Ensure Velocity AI messaging reinforces Distribution Velocity across launches, campaigns, announcements, product pages, events, and customer communications in partnership with campaign, web, PR, creative, and brand teams.
- PROOF POINTS \& FEEDBACK Build the proof\-point strategy for Velocity AI, including Early Adopter insights, ROI/value models, workflow impact metrics, adoption stories, customer proof, and feedback loops with Sales, Enablement, Solution Consulting, Customer Success, and the Velocity AI Customer Advisory Board.
Knowledge, Skills and Abilities
- MESSAGING Exceptional messaging, positioning, storytelling, and content development skills, including the ability to translate technical capabilities into clear workflow impact, customer value statements, and commercial narratives.
- PRODUCT MARKETING Strong understanding of B2B SaaS or platform product marketing, launches, sales enablement, and buyer journeys.
- AI INSURANCE FLUENCY Curiosity about AI and its application to insurance workflows across agency, MGA, carrier, and broader distribution value chains.
- PROCESS DESIGN Experience building scalable launch frameworks, messaging systems, and cross\-functional operating models.
- INFLUENCE Executive communication, stakeholder alignment, collaboration, and influence in matrixed environments.
- PROJECT MANAGEMENT Attention to detail and ability to drive multiple workstreams in a fast\-moving environment.
- AMBIGUITY Comfort creating structure where processes, narratives, or operating models are still being defined.
- AI TOOLS Familiarity with AI tools and prompting techniques, including building or leveraging GPTs to improve go\-to\-market efficiency.
Qualifications
- EXPERIENCE LEVEL 10\+ years of progressive experience in B2B SaaS marketing, product marketing, solutions marketing, or related go\-to\-market roles.
- GTM EXPERIENCE Significant experience with messaging, positioning, launches, enablement, and customer\-facing content for complex technology products.
- EMERGING TECH Experience with AI, automation, data products, platforms, or other emerging technology categories preferred; strong product marketing judgment and commercial instincts are the primary requirement.
- INDUSTRY EXPERIENCE Experience in insurance, InsurTech, financial services, or another regulated industry preferred; ability to learn complex domains quickly is essential.
- SENIOR PARTNERSHIP Proven ability to work with senior executives, product leaders, technical teams, sales teams, and marketing partners.
- EDUCATION Bachelor’s degree in marketing, business, communications, or a related field required; MBA or equivalent experience helpful.
About Vertafore Velocity AI
Vertafore Velocity AI is purpose\-built for insurance, bringing artificial intelligence directly into the core systems agencies, MGAs, and carriers already use. The Velocity AI Platform serves as the innovation foundation behind Vertafore’s growing portfolio of AI agents, enabling secure, scalable AI development across the company’s core product families.
Built to help the industry move from friction to flow, Velocity AI supports Vertafore’s broader focus on Distribution Velocity — helping agencies, MGAs, and carriers accelerate workflows, improve decisions, reduce manual work, and operate with greater speed, consistency, and clarity.
Why Vertafore is the place for you: \*Canada Only
- The opportunity to work in a space where modern technology meets a stable and vital industry
- Medical, vision \& dental plans
- Life, AD\&D
- Short Term and Long Term Disability
- Pension Plan \& Employer Match
- Maternity, Paternity and Parental Leave
- Employee and Family Assistance Program (EFAP)
- Education Assistance
- Additional programs \- Employee Referral and Internal Recognition
Why Vertafore is the place for you: \*US Only
- The opportunity to work in a space where modern technology meets a stable and vital industry
- We have a Flexible First work environment! Our North America team members use our offices for collaboration, community and team\-building, with members asked to sometimes come into an office and/or travel depending on job responsibilities. Other times, our teams work from home or a similar environment.
- Medical, vision \& dental plans
+ PPO \& high\-deductible options
- Health Savings Account \& Flexible Spending Accounts Options:
+ Health Care FSA
+ Dental \& Vision FSA
+ Dependent Care FSA
+ Commuter FSA
- Life, AD\&D (Basic \& Supplemental), and Disability
- 401(k) Retirement Savings Plain \& Employer Match
- Supplemental Plans \- Pet insurance, Hospital Indemnity, and Accident Insurance
- Parental Leave \& Adoption Assistance
- Employee Assistance Program (EAP)
- Education \& Legal Assistance
- Additional programs \- Tuition Reimbursement, Employee Referral, Internal Recognition, and Wellness
- Commuter Benefits (Denver)
The selected candidate must be legally authorized to work in the United States.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all the job responsibilities, duties, skill, or working conditions. In addition, this document does not create an employment contract, implied or otherwise, other than an "at will" relationship.
Vertafore strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.
The Professional Services (PS) and Customer Success (CX) bonus plans are a quarterly monetary bonus plan based upon individual and practice performance against specific business metrics. Eligibility is determined by several factors including: start date, good standing in the company, and actives status at time of payout.
The Vertafore Incentive Plan (VIP) is an annual monetary bonus for eligible employees based on both individual and company performance. Eligibility is determined by several factors including: start date, good standing in the company, and actives status at time of payout.
Commission plans are tailored to each sales role but common components include quota, MBO's and ABPMs. Salespeople receive their formal compensation plan within 30 days of hire.
*Vertafore is a drug free workplace and conducts preemployment drug and background screenings.*
*We do not accept resumes from agencies, headhunters or other suppliers who have not signed a formal agreement with us.*
*We want to make sure our recruiting process is accessible for everyone. if you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact* *[email protected]*
*Just a note, this contact information is for accommodation requests only.*
Additional Requirements and Details:
- Travel required up to 10% of the time.
- Ability to work remote with a stable internet connection on an as needed basis
- Located and working from an office location (when required)
- Occasional lifting and/or moving up to 10 pounds.
- Frequent repetitive hand and arm movements required to operate a computer.
- Specific vision abilities required by this job include close vision (working on a computer, etc.).
- Frequent sitting and/or standing.
Is this role not an exact fit for you? Keep an eye on our Careers Page for other positions!
*Vertafore is a drug free workplace and conducts preemployment drug and background screenings**.*
*The selected candidate must be legally authorized to work in the United States.*
*The above statements are intended to describe the general nature and level of work being* *performed by people assigned to this job. They are not intended to be an exhaustive list of all the job responsibilities, duties, skill, or working conditions. In addition, this document does not create an employment contract, implied or otherwise, other than an "at will" relationship.*
*Vertafore strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.*
*We do not accept resumes from agencies, headhunters, or other suppliers who have not signed a formal agreement with us.*
Vertafore is a Flexible First working environment which allows team members to work from home as often as you’d like, while using our offices as a place for collaboration, community, and teambuilding. There are times you may be asked to come into an office and/or travel for specific meetings for a specific business purpose and this varies by job responsibilities.
Salary Context
This $120K-$160K range is below the median for AI/ML Engineer roles in our dataset (median: $181K across 1996 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 3,824 AI roles we're tracking, AI/ML Engineer positions make up 71% of the market. At Vertafore, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $178,940 based on 11,900 positions with disclosed compensation. Director-level AI roles across all categories have a median of $243,000. This role's midpoint ($140K) sits 22% below the category median. Disclosed range: $120K to $160K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.
Vertafore AI Hiring
Vertafore has 2 open AI roles right now. They're hiring across AI/ML Engineer. Based in Denver, CO, US. Compensation range: $160K - $300K.
Location Context
AI roles in Denver pay a median of $184,000 across 153 tracked positions. That's 8% below the national median.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (119) are outnumbered by mid-level (1,813) and senior (1,472) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 420 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $142,800. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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