At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey. This is not a reporting role. You will own the data layer that makes ASAPP's platform trustworthy and actionable — the models, dashboards, feeds, and APIs that let builders, supervisors, analysts, and executives at our customers see exactly what GenerativeAgent (GA) is doing, how well it's doing it, and its value. If customers can't see the value we create, they can't renew, expand, or defend the investment internally. That visibility is your product. Responsibilities Drive the roadmap for customer-facing dashboards and analytics. Lead product for surfaces like the Supervisor homepage and dashboards, that let supervisors break down GA performance by custom questions, quality signals, containment, escalation, and resolution metrics. Balance depth for power users with clarity for first-time users. Build the value realization story. Translate raw platform data into the metrics that prove ROI — containment, escalation rate, verified resolution rate, ASAPP Score, CSAT — and partner with Sales, Customer Success, and Analytics to package these into narratives customers can bring to their own leadership. Own exportable data feeds and real-time data APIs. Design and manage the feeds and APIs that let customers pull ASAPP data into their own BI stacks and data warehouses. Treat schema changes, naming, and versioning as customer commitments, not implementation details. Own the data strategy layer. Define how events and metrics are structured and named across the platform, so that data is consistent, well-governed, and built to scale as new use cases (voice, new verticals, new GA capabilities) come online. Lead data discovery for strategic customer launches. Work directly with enterprise customers to identify the KPIs that matter to their business — payment integrity, retention, voice quality, and domain-specific signals — and turn them into structured data questions, evals, and dashboard views. Partner deeply with Engineering and Data Science on the underlying event and schema architecture (chat/voice event protocols, PII handling, real-time vs. batch tradeoffs) to make sure product decisions are grounded in what's technically sound and scalable. Manage the trust layer of the data experience. Proactively identify and resolve issues that erode confidence in dashboards and feeds — data availability gaps, date-range mismatches, truncation, latency — and design the UX and guardrails that keep customers confident in the numbers. Requirements We evaluate candidates against a set of principles. These are not interview talking points — they describe how PMs are expected to operate here every day. Growth & Abundance Mindset: You approach new domains with curiosity and learn fast. You see collaboration as additive, not competitive. When a bet doesn't work, you extract the signal and move on. Extreme Ownership: You take responsibility to deliver. You don't wait to be asked — you identify the gap and close it. You are the PM; the outcome is yours. High-Velocity Outcomes: You measure yourself by outcomes, not output. You distinguish between shipping a feature and moving a metric. You can answer "what changed for the customer?" for everything on your roadmap. Effective Communication, Collaboration, and Trust: You influence without authority across engineering, data science, design, sales, and customer success. You overcommunicate to keep stakeholders aligned. Real-Time Feedback: You give and receive feedback continuously rather than saving it for quarterly reviews. When something is wrong, you say so directly and constructively. Requirements 5+ years of product management experience, with meaningful time spent on data, analytics, or reporting products in enterprise B2B SaaS. Working fluency in data modeling and schema design — you can have a real conversation with engineers about event taxonomies, table structures, and naming conventions, and you know why consistency compounds. Experience shipping customer-facing dashboards or reporting tools, including the UX judgment to know when a metric needs more explanation, a warning state, or a different visualization. Experience defining or managing data feeds, exports, or APIs built for external customer consumption — you understand feeds are a contract, not a one-time delivery. Comfort turning ambiguous or noisy data into a clear, defensible story about value or ROI for a non-technical, often executive, audience. Track record of running customer discovery and translating it into structured requirements — KPIs, metrics definitions, or evaluation criteria. Excellent written communication — you can write a clear PRD, a release announcement, and a customer-facing value narrative without three rounds of rewrites. What We Would Like to See Prior experience in a startup or fast-scaling environment where the role's scope evolved as the company did. Experience building "value realization" or ROI content used in customer business reviews (QBRs) or renewal conversations. Benefits Competitive compensation Stock options Healthcare for the family group Mac equipment USD 150 per month in flexible benefits 3 weeks of vacation English lessons
