Solutions Engineer (AI Robotics/Autonomous Driving Data)

Posted 2 Days Ago
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Santa Clara, CA, USA
In-Office
Mid level
Artificial Intelligence • Robotics
The Role
Own customer-facing AI, robotics, and autonomous driving projects from discovery through delivery. Translate technical and data requirements into scalable solutions, define workflows and project plans, coordinate internal and external stakeholders, resolve risks, and ensure quality delivery. Support technical proposals, statements of work, pricing, account expansion, and product feedback while building long-term customer relationships.
Summary Generated by Built In
Job Description:Role Overview

We are looking for a Solutions Engineer to serve as a technical bridge between our customers and internal teams across Product, Engineering, and Operations.

You will work directly with customers in AI, robotics, and autonomous driving, deeply understand their technical and data requirements, and translate those needs into scalable, executable solutions. You will own customer projects from initial discovery through solution design, implementation, and delivery, while also helping identify opportunities to expand existing customer relationships.

This is a highly cross-functional role for someone who is technically strong, customer-oriented, and comfortable operating in a fast-paced startup environment.

 
Key ResponsibilitiesCustomer Discovery & Technical Engagement
  • Own the customer engagement lifecycle for AI, robotics, and autonomous driving projects.

  • Lead technical discussions with customers to understand their business objectives, workflows, and data requirements.

  • Translate complex or ambiguous customer needs into clear, measurable project requirements and success criteria.

  • Develop a deep understanding of how customers use data for robot learning, autonomous systems, model training, and evaluation.

Solution Design
  • Partner closely with Product, Engineering, and Operations to design customized AI data collection and delivery solutions.

  • Define project scope, workflows, task structures, data requirements, annotation specifications, deployment environments, and hardware needs.

  • Develop project plans, timelines, resource requirements, cost structures, and end-to-end delivery strategies.

  • Ensure proposed solutions are technically feasible, scalable, cost-effective, and aligned with customer objectives.

Project Delivery & Customer Success
  • Own the execution of customer projects from kickoff through final delivery.

  • Coordinate internal teams and external stakeholders to keep projects on track and ensure high-quality, consistent data delivery.

  • Monitor project progress, identify risks, and proactively resolve technical or operational issues.

  • Serve as a primary point of contact for customers, providing clear communication, project updates, and timely resolution of issues.

  • Build strong, long-term customer relationships through reliable execution and technical expertise.

Cross-Functional Collaboration
  • Work closely with Product, Engineering, and Operations to identify challenges and improve internal tools, workflows, and processes.

  • Capture customer feedback, market trends, and recurring industry pain points to inform product development and roadmap decisions.

  • Help translate end results from customer projects into scalable solutions and repeatable processes.

Commercial & Business Development Support
  • Support the commercial team in developing technical proposals, Statements of Work (SOWs), project scopes, and pricing materials.

  • Identify opportunities for additional services, expanded scope, and follow-on projects within existing accounts.

  • Partner with sales and account teams to communicate the technical value and feasibility of proposed solutions.

  • Contribute to growing customer relationships and expanding revenue opportunities.

 
Required Qualifications
  • 3–5+ years of experience in solutions engineering, technical sales, project management, product, or a related customer-facing technical role.

  • Experience in AI, robotics, autonomous driving, data services, or a related technology industry.

  • Strong understanding of the end-to-end AI data lifecycle, including data collection, annotation, quality assurance, delivery, model training, evaluation, and iteration.

  • Ability to translate ambiguous customer requirements into structured, actionable technical and project plans.

  • Demonstrated ability to manage complex projects involving multiple stakeholders and competing priorities.

  • Excellent communication and presentation skills, with the ability to engage effectively with both technical teams and business stakeholders.

  • Fluent English communication skills, including the ability to lead customer meetings, technical discussions, and business conversations in English.

  • Highly organized, detail-oriented, and capable of independently managing multiple projects simultaneously.

  • Strong ownership mentality and comfort operating in a fast-moving startup environment.

 
Strong Plus
  • Experience working with autonomous driving or robotics datasets, including perception, planning, sensor, or other multimodal data.

  • Familiarity with robot learning, embodied AI, or autonomous systems workflows.

  • Experience with egocentric/first-person data, multimodal datasets, sensor fusion, video data, or teleoperation data.

  • Familiarity with data annotation platforms, data visualization tools, or AI data management systems.

  • Basic proficiency in Python and SQL.

  • Experience working with customers on data infrastructure, ML pipelines, model evaluation, or other technical AI products and services.

Default Benefits:
  • Health insurance

  • Vision care

  • Dental coverage

  • 401(k)

  • Paid holidays

  • PTO (Paid Time Off)

  • Sick leave

Skills Required

  • 3-5+ years of experience in solutions engineering, technical sales, project management, product, or a related customer-facing technical role
  • Experience in AI, robotics, autonomous driving, data services, or a related technology industry
  • Strong understanding of the AI data lifecycle, including data collection, annotation, quality assurance, delivery, model training, evaluation, and iteration
  • Ability to translate ambiguous customer requirements into structured technical and project plans
  • Experience managing complex projects involving multiple stakeholders and competing priorities
  • Excellent communication and presentation skills with technical and business stakeholders
  • Fluent English communication skills
  • Ability to independently manage multiple projects in a fast-moving startup environment
  • Experience with autonomous driving or robotics datasets
  • Familiarity with robot learning, embodied AI, or autonomous systems workflows
  • Experience with egocentric data, multimodal datasets, sensor fusion, video data, or teleoperation data
  • Familiarity with data annotation platforms, data visualization tools, or AI data management systems
  • Basic proficiency in Python and SQL
  • Experience with data infrastructure, ML pipelines, model evaluation, or technical AI products and services
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The Company
6 Employees
Year Founded: 2024

What We Do

Maxinsights provides scalable, high-quality, human-centric training data for Physical AI and robotics foundation-model companies. Its end-to-end data solution combines a globally distributed capture network, customizable workflows, and quality-assurance processes to make training data faster and more reliable to obtain. The company’s mission is to build the global data foundation for Physical AI by delivering data at scale with unmatched quality.

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