Granica · 1 day ago
Product Manager — Research, Structured AI & Research Systems
Bay Area Office
Full-time
Onsite
Mid, Senior Level
$160K/yr - $250K/yrGranica is an AI research and infrastructure company focused on building reliable representations for enterprise structured data. The Research Product Manager will coordinate complex research initiatives, translate research into execution, and ensure alignment between research and production systems.
Artificial Intelligence (AI)Information TechnologySoftware
Responsibilities
Own and coordinate complex, multi-threaded research initiatives spanning theory, data, infrastructure, and applied systems
Ensure programs are well-scoped, milestones are clear, and progress is visible without slowing scientific velocity
Turn technical ideas into concrete plans: timelines, dependencies, resourcing, and success criteria
Help research teams move from exploration to validated results to system integration
Work closely with Research Scientists, Applied AI engineers, and Systems teams to align experimental work with real-world constraints
Support the path from novel algorithms and models—especially in structured and tabular domains—into production environments
Build and maintain compute and resource roadmaps across research programs
Identify bottlenecks, trade-offs, and opportunities to improve utilization and iteration speed
Collaborate across research, infrastructure, product engineering, legal, and business teams as needed
Ramp quickly into new technical domains and help teams stay aligned as priorities evolve
Synthesize progress across diverse technical efforts and communicate clearly to leadership and stakeholders
Ensure the right information reaches the right people at the right time
Qualification
Required
Background in computer science, AI, mathematics, physics, engineering, or a closely related field
Experience in research program management, technical product management, or a similar role operating in highly technical environments
Comfort engaging deeply with researchers and engineers on complex technical topics
Preferred
Experience working with or within a research lab (academic or industrial)
Familiarity with modern AI research workflows, including experimentation, evaluation, and large-scale training
Ability to abstract at a high level while also diving into details when needed
Strong written and verbal communication, especially around technical progress and trade-offs
Master's or PhD in a relevant technical field
Publications or direct contributions to AI research (e.g., modeling, data, evals, systems, or related areas)
Experience supporting research in structured data, tabular models, or system-aware ML
Demonstrated ability to learn new technical domains quickly
Benefits
Equity: Base / 3–4
Comprehensive health, dental, and vision coverage
Flexible PTO and parental leave
Relocation support as needed
Support for deep technical work, research collaboration, and long-term growth
Competitive salary, meaningful equity, and substantial bonus for top performers
Flexible time off plus comprehensive health coverage for you and your family
Support for research, publication, and deep technical exploration
Company
Granica
Granica is the world's first AI Data Readiness Platform, creating cutting-edge and enterprise-ready AI infrastructure services.
Founded in 2019
11-50 employees
H1B Sponsorship
Granica has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (7)
2023 (2)
Funding
Current Stage
Early StageTotal Funding
$45MKey Investors
New Enterprise Associates
2023-06-08Series A· $45M
2020-01-01Seed
Leadership Team
Rahul Ponnala
CEO & Co-Founder
Recent News
Google Patent
2025-02-07
Company data provided by crunchbase