Senior Director, Product Management (AI/ML)
AI in this role
About the Role
Attentive is building an industry-defining Marketing Agent: a unified, vertically integrated, autonomous system that builds on three years of advances to create a step change in performance for our customers.
This is a chance to define what an AI-first company looks like and change the trajectory of an industry. You will help decide what autonomous marketing should mean, build the product that makes it useful and trustworthy, and work with a stellar team to bring it to market to 1000’s of Attentive’s enterprise brands and leading companies in every vertical.
We are looking for a product leader with marketing, advertising, or ecommerce experience and AI/ML depth to turn our vision into a product that brands trust, use, and get measurable value from. You will own the product strategy and execution for the autonomous agent, working closely with engineering, research, design, machine learning, data science, GTM and our customers.
Unlike in other industries, an AI-native marketing solution does not need to simply create one deliverable – it needs to guide and operate a complete machine learning system that itself delivers 1:1 experiences at scale. You will oversee the building of that complete system.
You will co-own the revenue number for this product and partner closely with our CEO to make it a success.
What You’ll Accomplish
- Define the product thesis, strategy, and north-star outcomes for Attentive's autonomous Marketing Agent. Make clear what we are building, for whom, why it will win, and what we will deliberately not build.
- Work directly with customers and internal experts to understand how marketing decisions are made today, where automation can create leverage, and where the product must earn confidence before it acts.
- Turn an ambitious, ambiguous opportunity into a focused plan: customer problems, product principles, roadmap, sequencing, investment choices, and the decisions required to make progress.
- Own the end-to-end agent experience and operating loop - understanding a customer's business and goals, forming a plan, taking action, measuring results, learning, and improving
- Partner deeply with engineering and AI/ML teams on model strategy, data and feedback loops, tool use, retrieval, orchestration, evaluation, reliability, latency, cost, and the platform foundations required to make the product real at scale.
- Establish a rigorous system for evaluating the agent. Define the metrics, experiments, and failure analysis that tell us how much and why it is genuinely improving customer outcomes.
- Lead across boundaries. Clarify ownership, resolve disagreements, surface risks early, and build alignment without waiting for someone else to solve the problem for you.
Your Expertise
- 10+ years in product management or a closely related product leadership role, including substantial ownership of AI/ML-powered products. We care more about the level and quality of your experience than an exact number of years.
- A senior product leader who has shipped consequential AI/ML products and can connect technical possibility to customer value and business outcomes.
- Experience leading 0-to-1 products in a setting where the right answer was not obvious and the path changed as you learned. Experience with agents, decision systems, or applied generative AI is especially relevant.
- Enough technical fluency to engage credibly with researchers and engineers on model behavior, evaluation, data quality, system architecture, tradeoffs, and failure modes.
- Strong product judgment: the ability to identify the highest-leverage problem, make hard tradeoffs, simplify complexity, and distinguish a real product insight from a compelling story.
- A demonstrated habit of using customer evidence, experiments, and honest metrics to make decisions. You are comfortable showing that something failed when that is what the data says.
- The ability to operate as the mini-GM of a product area: set direction, create clarity, communicate directly, and take responsibility for outcomes across functions.
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full-time position is $281,600 - $352,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
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Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.How we rate this
Senior Director, Product Management (AI/ML) at Attentive rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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