Maxinsights Corporation Logo

Maxinsights Corporation

Technical Project Manager

Posted 5 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
Mid level
In-Office
Santa Clara, CA, USA
Mid level
Own end-to-end robotics data collection and annotation projects, translating client AI and robotics requirements into precise specifications. Coordinate engineering, algorithms, data operations, and annotation teams across global regions. Monitor production quality, SLAs, costs, timelines, and data pipelines while establishing validation and spot-check systems. Identify workflow bottlenecks and partner with software teams to automate processes. The role requires project management experience in AI data services, autonomous driving, robotics, or high-throughput data operations, plus strong technical and cross-functional communication skills.
The summary above was generated by AI
Job Description:Our Mission

At MaxInsights, we enable Robotics Foundation Model companies to access massive, high-quality, scalable training data for embodied AI through our end-to-end data solution platform. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We are building the data collection systems, simulation engines, operational capabilities, and software toolchain to help our partners drive the field forward.

What You'll Do
  • End-to-End Project Delivery: Own the full lifecycle of complex robotics data collection and annotation projects—from initial client alignment and solution design to final delivery. Ensure dataset production meets strict client SLAs and accuracy standards while managing internal cost and timeline targets.

  • Data Solution & Spec Design: Deeply understand clients' robotic model training needs (sensors, modalities, action spaces). Translate ambiguous academic and commercial requirements into concrete, high-precision data collection, simulation, and annotation specifications (Specs).

  • Global Cross-Functional Coordination: Serve as the central program hub coordinating teams across the US, China, and Southeast Asia. Bring together engineering, data operations, algorithms, and global annotation teams to drive seamless execution across time zones.

  • (Strong Plus) Bilingual Communication: Fluency in both Mandarin Chinese and English, with strong written and verbal communication skills in both languages. Able to effectively communicate technical requirements, project updates, specifications, and operational issues across US and China-based teams.

  • Quality Control & Progress Monitoring: Build and monitor real-time tracking systems for data production pipelines. Establish multi-tiered validation and automated spot-check mechanisms to ensure the integrity, temporal alignment, and label accuracy of millions of data frames.

  • Process Automation: Identify recurring bottlenecks or manual friction points in the global data workflow and collaborate with software teams to build scalable, automated platform tooling.

Who You Are
  • Background: 2–5+ years of project or program management experience (TPM role). Must have direct experience in AI data services, autonomous driving, robotics, or managing high-throughput data BPO pipelines.

  • Technical Literacy: A strong grasp of tech fundamentals. You can comfortably interface with engineering teams on topics like data pipelines, sensor modalities, 3D spatial math, and ML training workflows.

  • Problem Solving: Exceptional learning agility and structured thinking. You can quickly isolate the root cause of complex pipeline failures, sensor drifts, or label inconsistencies, and drive cross-functional resources to a solution.

  • Cross-Border Collaboration: Elite communication skills in English; comfortable working with global, multi-lingual teams across different time zones. Comfort with international travel or coordinating with overseas operations is a plus.

  • Startup Mindset: A high-ownership, self-driven operator who thrives on turning chaos into structured, repeatable processes in a fast-moving, high-impact environment.

What We Offer
  • Competitive Compensation: Market-competitive base salary, and comprehensive benefits.

  • Massive Impact: A front-row seat and massive leverage in building the data infrastructure powering the next wave of embodied intelligence.

  • Elite Collaboration: Direct partnership with leading experts, founders, and tier-one AI and robotics foundation model labs globally.

  • Growth Culture: A fast-paced, high-ownership startup culture that prioritizes execution speed, transparency, and minimal bureaucracy.

Default Benefits:
  • Health insurance

  • Vision care

  • Dental coverage

  • 401(k)

  • Paid holidays

  • PTO (Paid Time Off)

  • Sick leave

Similar Jobs

21 Days Ago
In-Office
San Francisco, CA, USA
125K-155K Annually
Senior level
125K-155K Annually
Senior level
Fintech • Information Technology • Financial Services
Supports cross-functional technical, product, and platform initiatives from planning through post-launch. Responsibilities include software development lifecycle coordination, dependency and risk tracking, incident management, stakeholder communications, timeline management, agile ceremony facilitation, program health metrics, process improvement, documentation, workflow optimization, and use of automation and AI-enabled tools.
Top Skills: AgileAi-Assisted ToolsAirtableAWSAzure DevopsConfluenceGoogle Cloud PlatformJIRAAzure
Yesterday
In-Office
San Francisco, CA, USA
185K-230K Annually
Entry level
185K-230K Annually
Entry level
Professional Services • Consulting
Lead multiple end-to-end software rollouts for business clients, coordinating customer kickoffs, timelines, integrations, stakeholders, defects, change requests, and post-launch stabilization. Build repeatable implementation processes and playbooks from the ground up, partner with product and account teams, manage escalations, and guide customers using self-service deployment tools. The role is on-site in San Francisco five days per week and requires 10–20% monthly travel to client locations.
Top Skills: Ai Productivity ToolsCard SystemsContact Center PlatformsConversational AiCore Banking SystemsLending SystemsOnline Banking SystemsVoice Platforms
Yesterday
In-Office
165K-235K Annually
Senior level
165K-235K Annually
Senior level
Aerospace • Software
Plans and coordinates software development across multiple spacecraft programs. Manages schedules, milestones, dependencies, risks, resources, integration and verification activities, and software readiness. Facilitates Agile planning and cross-functional meetings while reporting progress to engineering leadership and program stakeholders. Improves project management processes, tools, and reporting to increase execution visibility and efficiency.
Top Skills: AgileAutomated TestingConfiguration ManagementContinuous IntegrationEmbedded SystemsHardware-In-The-Loop (Hitl) TestingJIRAJira Plans (Advanced Roadmaps)Smartsheet

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account