6+ years in product or technical program management, ideally in data-heavy platforms.
Technical knowledge of SQL, APIs, and data pipelines; familiar with AI and LLM systems.
Ability to manage multiple projects with clear tracking and documentation.
Experience coordinating with external partners, including scoping and accountability.
Skills to drive consensus among senior technical stakeholders without formal authority.
Exceptional written communication and facilitation skills for technical concepts.
Fast learner able to quickly understand diverse topics in food, nutrition, and health data.
Responsibilities
Steward the WISEcode Intelligence platform roadmap and manage related cross-functional programs.
Partner with Science and Data teams to oversee the computational scoring pipeline.
Translate complex scientific logic into clear product requirements for consistent app behavior.
Lead time-bound partner engagements, ensuring internal alignment and meeting commitments.
Support sales with demos and RFPs, ensuring commercial momentum is maintained.
Create structured documentation to facilitate team alignment and confidence.
Facilitate agile ceremonies for multiple teams, acting as the primary point of contact for product and data teams.
Define acceptance criteria for AI/LLM features to ensure measurable quality.
Benefits
Comprehensive health and wellness plans
Flexible working hours and remote work options
Professional development and training opportunities
Collaborative and inclusive company culture
Generous time-off policy including vacation and sick leave.
Full Job Description
Key Responsibilities
Steward the WISEcode Intelligence platform roadmap while running the cross-functional programs that feed it - the Science team's computational pipeline, how the Mobile team surfaces that data in the consumer app, and time-boxed retail partner projects.
Partner with our Science and Data team to run the computational scoring pipeline as a clear, managed program, giving every model, scoring fix, and data investigation a named owner, a timeline, and a path to production.
Translate scientific logic - scoring systems, thresholds, and gating rules - into clear product requirements, and keep behavior consistent across our platform and consumer app.
Lead time-boxed partner engagements, aligning internal teams on scope and timing and keeping every partner commitment on track.
Support demos, RFP responses, and follow-ups so commercial momentum never stalls waiting on an internal decision.
Create clear, well-structured documentation - specs, user stories, decision logs, and updates - so every team can move with confidence and no one is operating blind.
Run the agile ceremonies that keep multiple squads moving - daily stand-ups, sprint planning, and weekly product calls - and serve as the day-to-day point of contact for a distributed product and data team.
Define acceptance criteria and run evals for AI/LLM-powered features, so model quality is measured rather than assumed.
Represent product needs in the company data model and ingredient taxonomy - ontologies, brand identity, and UPC normalization - that keeps 15,000 data points per product coherent across the platform.
Qualifications
6+ years in product management, technical program management, or a hybrid role, ideally on data-heavy or platform products.
Technical fluency across SQL, APIs, data pipelines, feature flags, and AI/LLM-based systems - you don't need to write production code, but you can pressure-test an engineering plan and spot a unit-conversion error in a dataset.
A proven ability to run multiple concurrent workstreams with clean tracking - owners, timelines, dependencies, and decision logs - turning ambiguity into structure by default.
Experience coordinating external vendors or partners: scoping work, negotiating timelines, and holding both sides accountable.
The stakeholder skill to align strong-willed senior technical partners and drive decisions without formal authority.
Exceptional written and facilitation skills that make complex technical work legible to sales, marketing, and executives.
A fast, omnivorous learner - this role jumps from nutrient ontologies to scoring logic to retail partner demos in a single week, and you can get conversationally fluent in an unfamiliar domain in days, not months.
A background or genuine interest in food, nutrition, or health data is a plus; scientific literacy is a must.
What You'll Own in Your First 90 Days
Run your first evaluation cycle on an AI/LLM-powered feature and use the results to gate a release.
Ship at least one scoring fix from investigation to production, with a decision log to show for it.
Stand up a weekly cross-team status rhythm that executives actually read.
