Virtual Intros AI is building an AI-powered platform for meaningful connections. They are seeking a technically fluent Product Manager to own product complexity end to end, influencing product architecture and ensuring timely delivery of features.

Responsibilities:

Decide what gets built and in what order, balancing member value, technical effort, and business impact
Defend prioritization calls with data and reasoning, not opinion
Anticipate the technical and operational needs that come with growth — scale, reliability, data integrity, integration load — and get ahead of them before they become fires
Reason about the platform as a system: the matching/recommendation pipeline, the data model and event schema feeding it, API and SDK contracts, the embeddable UI partners integrate, and the privacy/consent architecture that gates what data is ever exposed
Weigh build-vs-buy, latency-vs-cost, and accuracy-vs-coverage trade-offs intelligently
Product-manage probabilistic, data-dependent features with a clear view of how they behave
Translate high-level business goals and early-stage ideas into precise technical specifications — data contracts, API behavior, edge cases, error states, acceptance criteria, and non-functional requirements (latency, scale, privacy, observability)
Write specifications clean enough that work just moves
Own releases end to end: scoping, sequencing, dependencies, feature flags, cutting scope when necessary, and shipping
Define instrumentation and success metrics up front, then read the telemetry and close the loop on what actually happened
Define the events, funnels, and metrics that show whether a feature worked
Interrogate the data directly — querying, segmenting, and running or interpreting A/B tests rather than waiting for a dashboard
Decide what to keep, kill, or iterate based on evidence, not anecdote
Own the day-to-day with external development partners — running technical cadences with structured agendas and clear outputs
Review architecture and deliverables critically, including reading PRs and design docs
Catch scope and quality drift early, and hold partners to scope, timeline, and engineering standards
When something is off, flag it in writing and drive it to resolution

Requirements:

Proven product management experience shipping technical products in a fast-growing or startup environment
Strong technical fluency — comfortable with system design discussions, APIs, data models, and reading code/PRs; able to work directly with engineers and external dev teams with no translator required
Working understanding of recommendation, matching, search, or other ML-driven systems, and how to product-manage probabilistic, data-dependent features
Data fluency: comfortable with SQL, analytics and event instrumentation, and designing and interpreting experiments
A track record managing technical vendors or agencies against scope, timeline, and quality — and getting results
A history of shipping: prioritizing, scoping, and delivering features on schedule
Sharp written and verbal communication; able to align stakeholders and document technical decisions clearly
Fluency with Jira-based delivery workflows and modern AI/productivity tooling
Experience with privacy-preserving or consent-based systems
Experience with real-time, geospatial, or proximity features
Experience with SDKs, embeddable components, or platform APIs
Mobile product experience
A track record of standing up product processes from scratch

Virtual Intros AI

Open Positions (1)

Product

Product Manager