Interested in this AI/ML Engineer role at Justworks?
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Who We Are
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At Justworks, you'll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset \- our people.
We're helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We're data\-driven and never stop iterating. If you'd like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we'd love to hear from you.
We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.
Our Values
If this sounds like you, you'll fit right in.
Who You Are
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Product Marketing defines how Justworks wins—shaping our narrative, informing decisions, and driving growth through pricing, positioning, and GTM systems.
The Platform Product Marketing team owns the strategic marketing foundation for the Justworks platform and product portfolio. We connect product strategy to market impact—defining how innovations are packaged, communicated, and commercialized to drive adoption, growth, and long\-term customer value.
We are seeking a Staff Product Marketing Manager, AI \& Analytics to lead the market strategy for AI across Justworks. In this role, you will shape how customers understand, trust, and adopt AI\-powered capabilities while helping define the role AI plays in the future of our platform. You will partner closely with Product, Engineering, Design, and Go\-to\-Market teams to bring new innovations to market, influence investment decisions, and ensure our AI strategy delivers meaningful value for customers and the business.
This role is built for a strategic product marketer who thrives at the intersection of emerging technology, customer insight, and business strategy. You combine deep curiosity about AI with strong product instincts and the ability to translate complex capabilities into compelling customer outcomes. You are equally comfortable influencing product direction, defining market opportunities, and leading cross\-functional teams through ambiguity to bring new categories of innovation to life.
Your Success Profile
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AI Strategy \& Platform Narrative
- Own the strategic narrative for AI across the Justworks platform—defining how AI\-powered capabilities support our platform vision, differentiate us in the market, and create value for customers.
- Develop positioning, messaging, and value frameworks that help customers understand, trust, and adopt AI\-powered experiences across products and workflows.
- Establish a cohesive AI story across the portfolio, ensuring a consistent customer experience across products and touchpoints.
Product Strategy \& Market Readiness
- Serve as the voice of the market and customer for AI initiatives, bringing customer insights, competitive intelligence, and market trends into product planning and prioritization.
- Influence product strategy and investment decisions by identifying emerging opportunities, unmet customer needs, and shifts in the competitive landscape.
- Develop go\-to\-market strategies for major AI innovations, ensuring clear positioning, strong differentiation, and coordinated execution across Product, Marketing, Sales, and Customer Success.
- Guide launch readiness across teams, ensuring AI innovations are effectively positioned, enabled, and adopted in market.
Commercialization \& Adoption
- Define commercialization strategies for AI\-powered experiences, including packaging recommendations, value articulation, customer education, and activation plans.
- Partner with Growth, Lifecycle Marketing, Sales, and Customer Success to drive awareness, usage, and long\-term engagement with AI\-powered capabilities.
- Measure and optimize the success of AI initiatives through adoption, retention, customer satisfaction, and business impact metrics.
Market Intelligence \& Competitive Strategy
- Be the in\-house expert on the AI landscape, including emerging technologies, competitive offerings, customer expectations, and market trends.
- Identify emerging AI trends, competitive threats, and market opportunities that inform Justworks' long\-term strategy and differentiation.
- Help establish Justworks' point of view on AI in the workplace, shaping thought leadership and strengthening our position in the market.
Cross\-Functional Leadership
- Lead through influence, aligning Product, Engineering, Marketing, Revenue, Customer Success, Legal, and Operations teams around a shared vision for AI across the Justworks platform.
- Drive high\-impact AI initiatives from strategy through execution, creating clarity and momentum across diverse stakeholder groups.
- Bring structure to ambiguity, helping teams navigate emerging technologies and make confident decisions in a rapidly evolving landscape.
- Act as a strategic advisor to leadership on AI\-related opportunities, risks, investments, and market developments.
How You Will Do Your Work
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As *Staff Product Marketing Manager, AI \& Analytics*, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities, and personal attributes are anchored in the following competencies:
- Strategic mindset: You connect pricing architecture to long\-term business objectives, understanding the tradeoffs between growth, margin, competitiveness, and simplicity.
- Customer\-centric orientation: You anchor pricing decisions in customer value, segmentation insight, and real market behavior—not just internal targets.
- Analytical rigor: You are fluent in financial modeling, scenario planning, and experimentation frameworks, and can translate complex analysis into clear executive decisions.
- Operational leadership: You build structured pricing processes and governance models that reduce ambiguity and drive alignment across teams.
- Collaborative energy: You partner effectively with Product, Finance, Sales, Revenue Effectiveness, and Marketing to align incentives and drive execution.
- Executive influence: You communicate pricing strategy clearly and confidently, translating complex tradeoffs into clear decisions and influence at the C\-suite level.
- Nimble learning: You test, learn, and iterate—treating pricing as a dynamic lever rather than a static artifact.
- Results\-driven: You deliver measurable revenue impact while strengthening long\-term customer trust.
In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:
- Camaraderie: Collaborate across teams to drive shared growth outcomes.
- Openness: Be transparent about strategy and tradeoffs; actively seek feedback.
- Grit: Persevere through ambiguity and the iterative work of building a scaled growth system.
- Integrity: Ensure messaging is accurate and sets expectations that reinforce long\-term trust.
- Simplicity: Translate system\-level thinking into clear, actionable direction for partners.
Qualifications
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- Minimum of 8\-12 years of experience in product marketing, product strategy, growth, or a related B2B SaaS function, with a track record of influencing product direction and driving measurable business outcomes.
- Experience owning positioning, go\-to\-market strategy, and commercialization for complex products, platforms, or emerging technologies.
- Strong understanding of AI technologies, trends, and market dynamics, with the ability to translate technical capabilities into clear customer value and compelling market narratives. Direct experience marketing AI\-powered products is strongly preferred.
- Outstanding storyteller: synthesize customer, market, competitive, and product signals into clear narratives tailored to audiences ranging from customers and prospects to executives and product leaders.
- Demonstrated ability to influence product strategy, roadmap decisions, and investment priorities through market intelligence, customer research, and business insight.
- Proven experience leading highly cross\-functional initiatives and influencing senior stakeholders across Product, Engineering, Revenue, Marketing, Legal, and Operations without direct authority.
- Comfort operating in ambiguity and defining strategy in rapidly evolving markets where customer needs, technologies, and competitive dynamics are constantly changing.
- Strong analytical and strategic thinking skills, with experience evaluating product adoption, customer engagement, market opportunities, and business impact.
- Experience in HR technology, fintech, payroll, workforce management, productivity software, or other SMB\-focused platforms is a plus.
The base wage range for this position based in our New York City Office is targeted at $166,000\.00 \- $214,000\.00 per year.
\#LI\-Hybrid
\#LI\-SP1
Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location.
For more information about Justworks' Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks.
Diversity At Justworks
==========================
Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers.
We're proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at [email protected]. Your comfort and success matter to us, and we're here to ensure an inclusive experience.
Our DEIB Report
Salary Context
This $166K-$214K range is above the median for AI/ML Engineer roles in our dataset (median: $180K across 1841 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 3,708 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At Justworks, 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 $218,750 based on 3,817 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. This role's midpoint ($190K) sits 13% below the category median. Disclosed range: $166K to $214K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Justworks AI Hiring
Justworks has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in New York, NY, US. Compensation range: $214K - $214K.
Location Context
AI roles in New York pay a median of $220,000 across 1,045 tracked positions.
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 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 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 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). 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 (102) are outnumbered by mid-level (1,705) and senior (1,469) 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 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 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 $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. 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 Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. 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 (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 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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