Growth Manager, Physical AI
Hybrid (San Francisco)Full-timePosted 5mo ago
About the role
Growth Manager to drive how Physical AI teams discover and engage with Encord, building the end-to-end journey from awareness to conversion and generating qualified pipeline from target accounts.
Responsibilities
- Engage and convert target accounts with multi-channel campaigns and activities
- Define and evolve Encord’s positioning, messaging and campaigns for Physical AI
- Strategise, test and iterate on digital and out-of-home assets that win attention
- Implement learnings and insights from sales, demos, objections, and wins/losses
- Leverage field marketing and community events to engage accounts in-person
- Segment, target and refine technical audiences effectively
- Report on, analyze and distribute campaign performance in HubSpot
Qualifications
- 2+ years of experience in product or growth marketing, with concrete examples of improvements you've driven in pipeline value
- Clear understanding of demand generation and high-intent inbound strategies
- Experience with automation and AI tools, with a solid grasp of how to use LLMs and agents for marketing workflows
Skills
Required:Growth marketingDemand generationAutomation and AI tools
Benefits
- Competitive salary, commission, and meaningful equity in a high-growth start-up
- Clear, accelerated growth opportunities as the company scales rapidly
- Strong in-person culture: 4 days/week in our North Beach loft office
- Flexible PTO to fully recharge
- 18 paid vacation days in the U.S. plus federal holidays
- Annual learning & development budget
- Comprehensive health, dental, and vision coverage
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites, twice-weekly team lunches, and monthly socials
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Encord
Building the data backbone for the (artificial) intelligence…
Encord is the leading data platform for AI. We help top AI teams get models into production faster with human-in-the-loop workflows for labeling and RLHF, infrastructure for data-centric model testing, and powerful data curation and management.
artificial-intelligencedeveloper-toolsmachine-learningcomputer-visionai
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