Senior Product Manager

Assembled provides workforce management and customer support operations software, including AI agents, forecasting, scheduling, and intraday management tools. The Senior Product Manager will own scheduling and forecasting for the workforce management product, partnering with customers and support operations teams to define the roadmap, apply AI, build for enterprise complexity, and mentor junior product managers.

Responsibilities

• Working directly with prospects and customers. You'll be in the room (and on the call) with support ops leaders at the world's best brands — doing discovery, co-building, and representing Assembled at the highest level. Strong GTM partnership with sales and CS is core to how this team works
• Owning scheduling and forecasting end-to-end. From how planners build and edit schedules to how forecasts are generated, reviewed, and acted on — you'll set the vision, drive the roadmap, and ship work that makes a measurable difference in how our customers run their operations
• Applying AI where it can genuinely change how work gets done. WFM is full of high-stakes, high-repetition decisions that have historically required deep expertise and manual effort. You'll define how AI makes those decisions faster, smarter, and more automated — turning reactive planning into something that anticipates problems before they happen
• Building for enterprise complexity. Your customers run 24/7 multi-channel, multi-site operations. You'll develop deep intuition for their constraints — SLAs, shrinkage, channel mix, BPO relationships — and make sure the product handles that complexity without adding friction
• Leading and mentoring junior PMs. As a senior member of the product team, you'll bring strategic leadership to how we build — helping raise the bar on product thinking, writing culture, and ways of working across the team

Preferred

• Experience building AI-powered product features in a practical, customer-value-driven way
• Experience working closely with data science or ML teams to ship predictive optimization features
• AI product development
• Predictive optimization
• Machine learning collaboration
• Data science collaboration
• Feature delivery
• Customer-focused
• Cross-functional collaboration
• Practical problem-solving

Benefits

• Equity in the form of stock options on top of the base salary range
• Generous medical, dental, and vision benefits
• Paid company holidays, sick time, and unlimited time off
• Monthly credits to spend on professional development
• Monthly credits to spend on general wellness
• Monthly credits to spend on Assembled customers
• Monthly credits to spend on commuting
• Paid parental leave
• Onsite work model with catered lunches every day (M–F), snacks, and beverages in the SF & NY offices
• 401(k) plan enrollment

Company

• AI customer support agents and workforce management platform
• San Francisco, California, USA
• https://www.assembled.com/
• Founded in 2018
• 51-200 employees

Qualifications

• 5+ years of product management experience in enterprise B2B SaaS
• Strong analytical and technical product skills: you love getting deep in the data and technical details, and you can quickly form and pressure-test perspectives on product tradeoffs
• Experience at a growing, venture-backed startup where business needs and teams evolve quickly
• Strong written and verbal communication skills
• Customer-first mindset with strong discovery and communication skills to work directly with senior stakeholders as a representative of the company
• Bias to action and an innate sense of urgency
• This is an onsite role based out of either our San Francisco or New York City office, with an in-office requirement of 5 days, Monday - Friday
• Experience building AI-powered product features in a practical, customer-value-driven way
• Experience working closely with data science or ML teams to ship predictive optimization features

Required skills

• Product Management, Enterprise B2B SaaS, AI-Powered Product Development, Machine Learning Collaboration, Predictive Optimization, Customer Discovery, Stakeholder Management

Preferred skills

• Written and Verbal Communication

Experience

• 5+ years