Senior Product Manager

We’re seeking a forward-thinking Senior Product Manager to lead the next generation of our appointment scheduling suite. As a Senior Product Manager, you’ll own the full product lifecycle from discovery through delivery, adoption, and iteration, driving the roadmap and collaborating cross-functionally to build experiences integrated with platforms like Salesforce.

Requirements

• 7+ years in B2B SaaS product management, with experience owning products serving enterprise customers
• Salesforce.com general experience
• Strong understanding of customer experience design and product usability
• Skilled at turning complex technical solutions into intuitive user experiences
• Hands-on experience owning the full product lifecycle from concept through launch, adoption, iteration, and end-of-life
• Demonstrated experience working with US-based enterprise SaaS companies, including direct customer engagement and cross-time zone collaboration
• Strong written and verbal communication skills in English (business-fluent or native-level required); Spanish proficiency is a plus
• Excellent communication and presentation skills across technical and non-technical audiences
• Ability to develop a business strategy, create a product vision, and craft a roadmap to achieve business goals
• Experience working embedded with engineering teams in agile environments (sprint planning, backlog management, trade-off discussions)
• Prior experience in fintech and/or wealth management
• Salesforce administration and configuration experience. Salesforce Admin Certification and/or any other Salesforce Certifications.
• Experience with Salesforce App Exchange / Managed Packages - evaluating, installing, configuring, or integrating. Experience as a Salesforce ISV / App Exchange Partner.
• Knowledge at a configuration or administrative level of web conferencing solutions – Zoom, Microsoft Teams, Webex and/or of email / calendar solutions – Microsoft Outlook/Exchange/365, Google Workspace.
• Technical background (engineering, data science, or analytics)
• Success working with AI/ML teams to bring predictive or automated features to market

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance