Lead and coordinate development of the data pipeline powering an agentic AI platform. Define scope and sequencing, manage cross-team dependencies, drive release readiness, surface and report risks to leadership, and pressure-test technical plans while working with distributed engineering and data science teams to ship production integrations.
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.
This is not a status-update role. You'll own the development plan for the data pipeline at the heart of our agentic platform (the engine that turns process intelligence into the context our agents run on), and you'll be the integration glue between the teams that have to build it. Your leverage comes from influence and technical credibility: getting decisions made across teams that don't report to you.
You'll work directly with our data science and AI engineers on a product that is core to where the company is headed, coordinating the teams and services that have to come together to ship it. Our teams are distributed across time zones, so you're comfortable collaborating across them.
Key Responsibilities
- Define and sequence the work. Partner with engineering and data science leaders to scope pipeline and integration work, and own the plans, timelines, and resourcing to land it.
- Own release readiness. Drive readiness checklists, dependency and blocker tracking, and go/no-go across teams.
- Be the integration point across three teams. Coordinate between Process Intelligence, AI Data Science, and Agent teams, owning the shared roadmap and the day-to-day on dependencies, interfaces, and incidents. Surface blockers before they become emergencies.
- Report status and risk clearly. Give engineering leadership and executives a straight view of program status, risks, and blockers.
- Pressure-test the technical plan. Walk into design discussions, understand the trade-offs, and ask the questions that need asking. Help the team decide, don't just document decisions.
- 6+ years in technical program or technical project management, including programs that spanned multiple teams and systems.
- A software engineering background. You've built and shipped software yourself before moving into program management.
- Enough technical depth to follow architecture discussions, challenge an engineering plan, and spot risk in a technical approach.
- Comfortable coordinating work across distributed teams and time zones.
- Systems-level scope: you've managed how multiple services, teams, and products come together, and you've shipped to external customers, not just run internal dev cycles.
- Comfort in a startup or high-ambiguity environment where you had to build process, not just follow it.
- Familiarity with durable workflow orchestration, Kubernetes-based delivery, and multi-provider LLM gateways.
- Experience shipping software to both cloud and on-prem or customer-managed environments.
- Familiarity with AI/ML, automation, and data products.
- Process mining, workflow mining, or BPMN exposure.
- Insurance or financial services experience.
- A mix of startup and larger-company experience.
Bachelor's degree in a technical or business field, such as Computer Science, Engineering, Information Systems, or equivalent practical experience.
Skan AI is an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace around the world. We do not discriminate based on race, color, religion or belief, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, disability, medical condition, genetic information, marital or family status, military or veteran status, or any other characteristic protected by applicable laws in the locations where we operate.
We welcome people from all backgrounds and provide reasonable accommodations throughout the hiring process.
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