Senior Product Manager, Messaging

Weave is a company with a tight product-market fit and a customer-obsessed culture. The Product Team at Weave operates under a development model in which each product manager is expected to lead their team through the stages of product development: discovery, execution, go-to-market, and iteration. We strive for high autonomy and high alignment through clear goals, outcome-based planning, and tight collaboration with engineering, design, support, and GTM teams. In this role, the Senior Product Manager, Messaging, will own one of Weave's most important customer-facing product areas: the messaging capabilities that power communication between healthcare practices and their patients. This role spans both feature delivery and platform thinking — owning the end-to-end messaging experience while ensuring the underlying systems are reliable, scalable, and extensible across Weave's growing product surface. Messaging sits at the center of how practices communicate with patients before, during, and after appointments. The right candidate will drive meaningful improvements to the customer-facing experience while maintaining the reliability and systems thinking required of a high-volume communication product.

• This role is available for fully remote located in the US - This role reports to the VP of Product WHAT YOU WILL OWN - Own the product strategy, roadmap, and execution for Weave's messaging product area.
• Lead product discovery by deeply understanding how practices and patients experience messaging today, identifying friction, unmet needs, and opportunities to deliver meaningful improvements.
• Drive both customer-facing feature work (two-way messaging inbox and automated messages) and platform-level improvements (reliability, scalability, message delivery, integrations) with sound judgment on prioritization across both.
• Define and deliver reusable messaging capabilities that can support multiple Weave products and workflows over time.
• Prioritize the roadmap and drive execution, making clear calls on risk, sequencing, and business value — breaking work into staged deliveries that show early progress while advancing longer-term goals.
• Partner closely with engineering to guide technical decisions, including tradeoffs around message delivery reliability, data consistency, and system performance.
• Communicate product decisions, their risks, and business impact clearly to leadership and cross-functional partners.
• Partner with integrations, feature teams, and other product areas to manage dependencies and shared platform evolution.

• Prior experience owning a high-volume, customer-facing communication product (messaging, notifications, inbox, or similar).
• AI-native approach and thinking to product management and problem solving including familiarity with various tools and options.
• Strong product judgment — able to think in capabilities and systems, not just individual feature requests.
• Deep empathy for end users, with a track record of translating user problems into product decisions that meaningfully improve the experience.
• Ability to operate independently, make sound decisions, and create clarity in ambiguous environments.
• Strong execution skills and a track record of driving complex cross-functional work from problem definition through delivery.
• Ability to partner credibly with senior engineers on technical tradeoffs — including message delivery reliability, API design, and system performance.
• Strong communication and storytelling skills, including the ability to explain both customer experience and platform decisions in business terms.
• Ability to collaborate effectively with engineering, design, analytics, support, go-to-market teams, and peer product managers.
• Familiarity with real-time or asynchronous communication systems, messaging infrastructure, or notification pipelines.
• Comfort reading API documentation, technical specs, and system design discussions.
• Ability to use data and observability tools to understand product health and user behavior, such as Grafana or similar.

• Experience in healthcare technology or similarly operationally complex and compliance-aware environments (e.g., HIPAA-adjacent messaging constraints).
• Familiarity with AI-powered products and workflows (e.g., AI-assisted messaging, automated replies, generative AI applied to communication) and how they can improve customer-facing experiences.
• Experience with integration-heavy products that span multiple systems or data sources.
• Familiarity with data pipelines, message queuing, or event-driven systems.
• Familiarity with distributed systems concepts and the tradeoffs that affect message reliability and delivery guarantees.
• Strong instincts for when platform investment is needed versus when a pragmatic feature-level solution is the right call.

• Highlight any messaging or communication product you’ve shipped, focusing on reliability metrics you improved.
• Prepare a brief case study that shows how you turned user research into a concrete roadmap.
• Demonstrate familiarity with healthcare workflows or HIPAA considerations if you have it; it will set you apart.
• Practice explaining technical trade‑offs in plain language, as interviewers will probe your ability to bridge engineering and business.
• Bring examples of AI‑driven features you’ve built or evaluated, even if they were exploratory.
• Research Weave’s existing product suite so you can discuss how messaging integrates with other tools.
• Negotiate based on the full package—equity, remote stipend, and professional development—rather than salary alone.