This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
New York City | Full-Time | Hybrid | AI / B2B SaaS
Compensation: $170,000-$190,000 base salary + equity
Work Environment: Hybrid - expected in Revi’s New York City office 3–4 days per week.
About Revi
Revi is an AI-powered SaaS platform that helps businesses convert, engage, and retain customers through intelligent, automated communication.
Revi supports 100+ active customer accounts across leads, conversations, campaigns, automations, integrations, and AI-powered workflows. The platform operates across 100M+ records and a growing volume of production data and customer interactions.
Our technology organization currently includes a 14-person contracted engineering team spanning full-stack development, AI/ML, mobile, QA, data, and DevOps.
We’re hiring our first internal Senior Product Manager to take ownership of Revi’s product roadmap and day-to-day product and engineering execution.
The Role
This is a highly technical, execution-oriented product role.
You will own Revi’s product roadmap and work directly with our engineering organization to drive development from problem identification through production.
This is not a role where you simply define what should be built and hand requirements to an Engineering Manager. You’ll be expected to understand what is being built, how engineering is approaching it, where work is blocked, why commitments are slipping, what is happening in production, and what needs to change.
You will own the full product-development lifecycle:
You do not need to be a software engineer. You do need enough technical depth to understand architecture and engineering tradeoffs, challenge proposed solutions and estimates, investigate production problems with engineering, and identify potential reliability or scalability risks.
What You’ll Own
Own and continuously prioritize Revi’s roadmap and backlog
Translate customer, business, technical, and production problems into clear requirements
Balance new features, customer requests, integrations, AI development, platform stability, technical debt, and scalability
Define requirements, acceptance criteria, expected outcomes, and success metrics
Make decisions using customer impact, revenue, retention, product data, engineering effort, and technical risk
Push back constructively when the evidence supports a different priority
Run Revi’s engineering standups and product-development operating cadence
Own sprint planning, prioritization, backlog management, and sprint close
Maintain visibility into engineering ownership, progress, blockers, dependencies, and commitments
Hold engineering workstreams accountable to agreed scope and timelines
Challenge unclear estimates, requirements, technical approaches, and explanations
Identify whether execution problems stem from requirements, process, staffing, architecture, dependencies, technical debt, or engineering performance
Evaluate whether engineering capacity is being deployed against the company’s highest-impact priorities
Help evolve Revi’s engineering organization as we increasingly bring core technical capabilities in-house
Production Reliability & Technical Ownership
Own product-side release readiness and production validation
Drive bug triage, severity assessment, prioritization, and resolution with Engineering
Work through production incidents, root causes, customer impact, remediation, and prevention
Improve QA, regression prevention, monitoring, observability, and release processes
Understand technical debt and determine when infrastructure or scalability investments should take priority over feature development
Work with Engineering to evaluate architecture, APIs, integrations, data flows, performance, reliability, and system dependencies
Your responsibility is not to personally fix bugs or write production code. Your responsibility is to understand problems deeply enough to ensure the right problem is being solved, the right engineering decisions are being made, and issues are driven through resolution.
Analyze feature adoption, user behavior, conversion, retention, churn, system utilization, and customer feedback
Turn qualitative customer feedback into structured product intelligence
Define measurable outcomes for major initiatives and evaluate results after release
Connect product decisions to customer impact, retention, expansion, revenue, and company strategy
Integrations & AI
A significant part of Revi’s growth involves expanding integrations with additional software ecosystems and continuing to develop AI-powered functionality.
You should be comfortable working with APIs, third-party integrations, data systems, LLM-powered workflows, AI evaluation, knowledge systems, guardrails, latency, cost, data quality, and production monitoring.
You do not need to be an ML engineer, but you should understand how AI functionality is evaluated and operated in production.
Required Experience
5+ years of professional Product Management experience
Experience owning a customer-facing B2B SaaS product in production
Demonstrated experience directly driving engineering execution — not only defining strategy or writing requirements
Experience owning roadmaps, backlogs, sprint priorities, and releases
Strong technical fluency across SaaS architecture, APIs, integrations, data systems, and production environments
Experience with production incidents, reliability issues, technical debt, and/or scalability challenges
Experience challenging engineering assumptions, estimates, and proposed solutions
Strong quantitative and analytical skills
Demonstrated ownership of measurable product and business outcomes
Ability to operate independently without a large supporting product organization
High ownership and comfort making decisions with incomplete information
Strongly Preferred
Experience as an early, first, or founding Product hire at a B2B SaaS company
Experience inheriting and improving a messy or underdeveloped product-development process
Experience with distributed, offshore, or contracted engineering teams
Prior software engineering, technical, data, or systems background
Messaging, CRM, communications, workflow automation, or customer-engagement experience
SQL or demonstrated ability to independently analyze product data
What Success Looks Like
Within your first six months, Revi’s Founder & CEO should no longer need to manage the day-to-day product-development process.
You should have clear ownership of the roadmap, engineering priorities, sprint execution, requirements, bugs, releases, and day-to-day product decisions.
Success means more predictable engineering execution, fewer production regressions, faster resolution of blockers, better visibility into engineering performance, stronger release processes, structured technical-debt management, and product decisions grounded in customer, business, technical, and product data.
Most importantly, Product and Engineering execution should be proactively managed without requiring the Founder to identify problems, chase updates, or coordinate day-to-day development.
The Opportunity
You won’t inherit a mature product organization where every process has already been established.
You’ll join Revi with real customers, meaningful revenue, substantial production data, an established engineering organization, and an ambitious roadmap — while we build the internal product and engineering organization required for our next stage of growth.
You’ll have significant ownership over how Revi builds product, manages engineering capacity, improves reliability, scales its technology, and evolves its engineering organization.
#J-18808-Ljbffr
Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.