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Revi Solutions Inc. is seeking a Senior Product Manager to own the roadmap for an AI-powered B2B SaaS platform in production. You will translate customer needs, priorities, and technical data into a measurable plan and drive it through engineering collaboration.
Based in New York, you will balance growth with platform stability, AI capabilities, and data-driven decision making. This role requires cross-functional leadership and deep product discipline in a fast-moving, hybrid work environment.
New York City | Full-Time | Hybrid | AI / B2B SaaS
Work Environment: Hybrid — expected to work from Revi's New York City office 3–4 days per week. Candidates should be based in, or willing to relocate to, the New York City area.
Revi is an AI-powered SaaS platform that helps businesses convert, engage, and retain customers through intelligent, automated communication.
Revi currently operates in a live production environment across 100+ customer accounts, supporting businesses that rely on the platform daily to manage leads, conversations, campaigns, automations, and customer engagement.
The platform operates across 100M+ records and a growing volume of production data, automated workflows, customer interactions, and AI-driven conversations.
Our technology organization currently includes a 14-person contracted engineering team spanning full-stack development, AI/ML, mobile, QA, data, and DevOps.
We are now hiring our first internal Product Manager to establish dedicated product ownership within Revi and work closely with our Founder & CEO, customers, Customer Success team, and engineering organization.
We are looking for a Senior Product Manager with 5+ years of product management experience and demonstrated experience operating complex SaaS products in live production environments.
This role will own the translation of customer needs, company priorities, production data, and technical requirements into a clear and measurable product roadmap.
You will be responsible for the full product lifecycle:
Revi is an active production platform. Product decisions can affect customer conversations, campaigns, automations, lead workflows, and underlying data across the customer base.
You will provide internal product leadership to Revi's 14-person contracted engineering organization across:
Revi operates in two-week engineering sprints with production deployments every other Monday.
You should be comfortable participating directly in production incidents and helping determine root cause, customer impact, remediation, and preventative measures.
This is a highly data-driven role. You should be comfortable independently evaluating:
For significant product initiatives, you should be able to establish the baseline, define the target, determine how success will be measured, evaluate the actual result, and use that information to drive subsequent product decisions.
You will also work closely with Customer Success and directly with customers to turn qualitative feedback into structured product intelligence tied to adoption, retention, revenue, and roadmap priorities.
A significant component of Revi's growth strategy involves expanding connectivity across additional software and CRM ecosystems.
You will work across engineering, customer experience, and go-to-market to define and prioritize integration requirements and ensure integrations are production-ready and scalable.
Revi is an AI-native platform.
You do not need to be an ML engineer, but you should have a strong working understanding of managing AI-powered functionality in production, including:
AI functionality should be evaluated based on production performance and measurable customer outcomes, not simply whether the functionality has shipped.
This is an opportunity to establish Revi's internal product management function at a point where the company already has an active customer base, substantial production data, an established engineering organization, and a growing product.
You will have significant ownership over how Revi prioritizes product development, manages engineering capacity, improves platform reliability, evaluates customer needs, and scales its technology infrastructure.
We are looking for someone who has operated at meaningful production scale before, understands how to turn data and customer problems into product decisions, and is ready to take direct ownership of product outcomes.