Director of Product

Be at the Forefront of the Agentic AI Revolution

At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.

Why Skan AI

We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.

Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.

Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.

Role Overview

As Director of Product, you will own the vision, strategy, and roadmap for Skan's process intelligence platform. This is the platform that helps the world's largest enterprises see how work actually happens inside their organizations, and act on that understanding. It is technically complex, data-intensive, and genuinely impactful at scale.

We are looking for someone who has spent meaningful time in process mining, process intelligence, or intelligent automation. Not just an awareness of the space, but real product experience in it. You know the gap between a compelling demo and something that actually works in a large enterprise environment. You have shipped products in this domain and have the scars to show for it.

With 12 to 15 years of product experience, including time at AI-native startups, you are comfortable making product calls with incomplete information, working without a lot of support structure around you, and keeping a team focused when everything feels urgent. You are also someone who uses AI tools every day in how you work, not just in what you build. That matters to us.

Key Responsibilities

Product Vision and Strategy

• •Own the product roadmap for the process intelligence platform, from how we capture and model operational data through to the analytics and prescriptive insights we surface to customers.
• •Make clear, defensible decisions on what we build next. You will get input from customers, from sales, from data, and from the competitive landscape. Your job is to synthesize all of that and land on a prioritized point of view.
• •Keep the company aligned on product direction. That means being a consistent voice in leadership discussions, not just a person who maintains a roadmap document.
• •Know the competitive landscape well. Understand what Celonis, SAP Signavio, UiPath, and the broader BPM and automation ecosystem are doing. Use that knowledge to sharpen Skan's positioning and find the white space.

Product Execution and Delivery

• •Work closely with engineering, design, and data science to turn complex customer problems into product requirements teams can actually build from. Good PRDs, clear acceptance criteria, and regular communication matter here.
• •Manage delivery across several workstreams at once, covering process discovery, analytics, conformance, and integrations. Help teams make smart trade-off decisions when timelines get tight.
• •Stay engaged with architecture and data model decisions that affect the product. You do not need to write the code, but you need to understand what is being built and why certain technical choices matter at enterprise scale.
• •Hold a high bar for user experience. Process intelligence data is inherently complex. Making it feel accessible and actionable to both business users and technical users is one of the harder product challenges in this space.

Using AI in How You Work

We are an AI company. We expect product leaders to work with AI tools every day, not just build products that use them. This is what that looks like in practice.

• •Use LLMs and AI research tools to move faster in discovery. Summarize customer interviews, identify patterns across large volumes of feedback, and sharpen your hypotheses without spending days manually reviewing notes.
• •Use generative AI to write better first drafts of PRDs and specifications. Spend your energy making judgment calls and refining thinking, not starting from a blank page every single time.
• •Set up workflows to track what is happening in the market. Use AI tools to monitor competitor releases, analyst commentary, and community signals across the process mining and automation space so you are never behind.
• •Bring your team along. Help your product managers develop real fluency with these tools, including knowing when to trust AI output and when to push back on it.
• •Stay grounded in what AI can and cannot do reliably inside enterprise products. That practitioner perspective will directly shape how we build and talk about AI features in the platform.
• •Share what you learn. Recommend tools, document what works, and help build an internal culture of AI-augmented work across the product organization.

Team Leadership

• •Build and grow the product management team. That means hiring thoughtfully, giving people real ownership of meaningful problems, and being the kind of manager whose reports get better over time.
• •Set up the operating model. Good product teams do not run themselves. Help establish the rituals, frameworks, and ways of working that let people move fast without losing sight of what matters.
• •Create an environment where people are honest about trade-offs, comfortable sitting with uncertainty, and focused on outcomes over activity.

Customer and Commercial Engagement

• •Spend real time with customers. Get into the detail of how they use the product, where it falls short, and what they actually need. Use those conversations to challenge your assumptions, not just confirm them.
• •Show up in executive-level customer conversations and sales cycles as a credible product voice. You should be able to walk a customer through where the product is heading and why it matters to their specific business.
• •Work with Customer Success to track how customers are getting value from the platform and use those signals to sharpen what we build next.

Cross-Functional Alignment

• •Help Sales and Marketing tell a sharper product story. That means going beyond feature lists and helping them articulate what actually makes Skan different in a crowded market.
• •Collaborate with Finance and leadership when business cases need product input, whether that involves pricing, packaging, or expansion opportunities.
• •Stay close to what Professional Services and Customer Success teams see on the ground. Some of the most useful product insights come from the people who spend the most time with customers post-sale.

Qualifications and Experience

• •12 to 15 years of professional experience, with at least 8 years in product management in enterprise software or SaaS.
• •You have worked at an AI-native startup. You know what it is like to build under pressure, make product calls without full information, and keep moving without a lot of infrastructure around you.
• •Background in process mining, process intelligence, BPM, task mining, or RPA is strongly preferred. Candidates with this domain experience will stand out. If you have worked at companies like Celonis, UiPath, SAP Signavio, ABBYY, Minit, or similar, we want to hear from you.
• •Real familiarity with process mining concepts: how event logs work, what conformance checking involves, how process discovery surfaces insights, and what makes process KPIs meaningful t