Director, Product Management (Enterprise Connectivity)

Workato•Palo Alto, CA

18h

About The Position

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. We also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

Requirements

12+ years of Product Management experience, with a focus on integration, connectors, APIs, or enterprise platforms.
Minimum 3 years in a senior product leadership role (Group PM or Director), with experience managing teams of varying seniority — knowing when to provide close guidance and when to extend autonomy.
Proven experience building and scaling connector or integration products at leading SaaS/cloud companies or integration providers (e.g., MuleSoft, Boomi, Informatica, Zapier, Fivetran, Salesforce, ServiceNow).
Strong familiarity with cloud integration patterns, connector architectures, API standards (REST, SOAP, OData, GraphQL), and event-driven and messaging patterns (webhooks, event streaming, CDC).
Deep knowledge of the SaaS/cloud ecosystem and common SaaS business applications (CRM, ERP, HR, ITSM).
Familiarity with one or more platform extension domains — RPA, EDI, MFT, or similar — is a plus.
Experience collaborating with engineering on complex technical decisions around platform architecture and system design.
Track record of successful product launches, customer adoption, and measurable market impact.
Practical experience building AI-powered product capabilities — including AI-assisted integrations, automated connector creation, and generative AI features.
Focused on building the team's proficiency with AI tools and workflows as a standard part of day-to-day product development practice.
Experienced working in fast-paced, high-growth environments — comfortable improving processes on the fly and driving clarity through ambiguity.

Nice To Haves

Familiarity with one or more platform extension domains — RPA, EDI, MFT, or similar — is a plus.

Responsibilities

Define and own the vision and strategy for Workato's connectivity platform — with connectors at the core, and platform extensions (Data Tables, Decision Models, EDI, RPA, MFT) expanding their reach.
Monitor competitive dynamics and customer needs across the integration landscape, with a sharp focus on how AI capabilities are redefining connectivity platforms.
Own the enterprise connectivity roadmap end-to-end, managing interdependencies across a tightly coupled product surface while balancing customer demand, competitive positioning, and long-term investment.
Maintain roadmap alignment with engineering, sales, and customer success to ensure consistent prioritization and successful delivery.
Take an active role in identifying and resolving execution bottlenecks — improving processes, clarifying ownership, and ensuring the team has what it needs to deliver.
Lead product launches end-to-end, from internal enablement through customer adoption, coordinating across functions to ensure consistent and well-executed rollouts.
Shape the team's portfolio structure and ownership model to ensure full coverage across a wide product surface, while continuously hiring, mentoring, and developing PM talent.
Actively drive the team's adoption of AI tools as part of day-to-day product development practice.
Define and monitor key performance indicators (KPIs) and metrics around connector adoption, usage, customer satisfaction, performance, and reliability.
Establish and maintain the team's operating rhythm — prioritization cycles, reviews, and progress reporting — ensuring consistent execution across a broad product scope.
Actively engage with enterprise customers, prospects, and partners to understand their integration use cases, needs, and expectations.
Represent enterprise connectivity capabilities and strategy in customer briefings, industry conferences, and analyst discussions.