Jobs / United States / Agility Robotics INC
Senior Product Manager, Perception & World Understanding Skills
Agility Robotics INC · 🇺🇸 Hybrid- Fremont, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 41 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Agility Robotics INC paid sponsored hires in similar roles3 certified filings for “Senior Manager, Mechanical Engineering” (Architectural and Engineering Managers) in CA: $245k–$260k, median $260k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Agility Robotics INC
The US Department of Labor certified 41 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Agility Robotics INC →
About the role
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About Us Agility Robotics is a pioneer. Our humanoid robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make humanoid robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive, and people’s lives more fulfilling. About The Role Agility Robotics is looking for a Senior Product Manager to lead product strategy and development for Digit's perception and learned capabilities. This is a highly technical product role at the intersection of robotics, artificial intelligence, perception, and real-world autonomous behavior. You will be responsible for defining what Digit must understand about its environment, how world understanding should improve the robot's ability to perform useful work, and how those capabilities are evaluated and matured for production use. You will partner closely with perception, machine learning, robotics, autonomy, simulation, and software engineering teams while working across the broader Product organisation to translate customer and application needs into scalable robot intelligence capabilities. The role requires the ability to bridge emerging AI and robotics technologies with real product outcomes. You will help determine which capabilities should be developed, what level of performance is required, how progress should be measured, and when a capability is ready to become part of the production product. Key Responsibilities • Own the perception and world understanding capabilities roadmap: Define the product strategy, priorities, and roadmap for perception-enabled and learned robot capabilities required to support Digit's expanding application portfolio. • Define capability outcomes: Translate customer workflows and application requirements into clear requirements for perception, scene understanding, object understanding, learned behaviors, adaptation, motion planning and other AI-enabled robot capabilities. • Establish performance metrics: Define product-level metrics and evaluation criteria for perception and learned capabilities, including accuracy, robustness, generalization, latency, failure behavior, and operational performance. • Drive capability maturity: Establish expectations for progressing capabilities from research or prototype stages through validation, productization, and production deployment. • Bridge AI technology and product needs: Partner with AI Models & Tools Product and Engineering teams to translate product capability needs into requirements for underlying models, datasets, training systems, tooling, and infrastructure. • Drive generalisation: Identify when capabilities should move beyond narrow task-specific implementations toward reusable models and behaviors that work across objects, environments, customers, and applications. • Partner deeply with technical teams: Work closely with robotics, perception, machine learning, autonomy, simulation, and systems engineering teams to make product and technical trade-offs and ensure technical investments