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Structured Labs Jobs in California (NOW HIRING)

Who we are Paxos Labs is an initiative building infrastructure for the enterprise market that ... Receive a competitive salary and participate in directly in ownership structures that provide top ...

About Us Array Labs is building the world's most advanced earth observation satellites. Traditional ... structure. You'll be expected to identify areas for improvement, prioritize needs without direction ...

About Us Array Labs is building the world's most advanced earth observation satellites. Traditional ... structure. You'll be expected to identify areas for improvement, prioritize needs without direction ...

About Us Array Labs is building the world's most advanced earth observation satellites. Traditional ... structure. You'll be expected to identify areas for improvement, prioritize needs without direction ...

$85 - $105/hr

Yet. Machina Labs is changing that. We build intelligent, software‑defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming ...

New

On-site in San Jose Ayar Labs is shattering AI data bottlenecks by moving data at the speed of ... Working knowledge of data structures and algorithms * Proficiency working with MongoDB and SQL ...

On-site in San Jose Ayar Labs is shattering AI data bottlenecks by moving data at the speed of ... Working knowledge of data structures and algorithms * Proficiency working with MongoDB and SQL ...

On-site in San Jose Ayar Labs is shattering AI data bottlenecks by moving data at the speed of ... Working knowledge of data structures and algorithms * Proficiency working with MongoDB and SQL ...

Senior Mechanical Engineer

Chatsworth, CA · On-site

$145K - $170K/yr

Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming ...

About Array Labs Array Labs builds advanced radar systems to help humanity understand and respond ... no existing structure. * Comfortable operating without a defined playbook in a fast-moving ...

On-site in San Jose Ayar Labs is shattering AI data bottlenecks by moving data at the speed of ... Working knowledge of data structures and algorithms * Proficiency working with MongoDB and SQL ...

About Array Labs Array Labs builds advanced radar systems to help humanity understand and respond ... no existing structure. * Comfortable operating without a defined playbook in a fast-moving ...

Showing results 41-60

Structured Labs information

What is Structured Labs?

Structured Labs refers to specialized environments or facilities designed to conduct controlled experiments, testing, or research, often in fields such as technology, science, or finance. These labs provide structured processes, protocols, and tools to ensure accuracy and repeatability of experiments. Structured Labs can be found in academic institutions, research organizations, or within companies developing new products and technologies. Their main goal is to facilitate innovation, validate hypotheses, and improve the reliability of results.

What are the key skills and qualifications needed to thrive as a Structured Labs analyst, and why are they important?

To thrive as a Structured Labs Analyst, you need strong analytical skills, a background in finance or quantitative fields, and familiarity with structured finance concepts, often supported by a relevant degree. Proficiency with financial modeling tools such as Excel, VBA, and platforms like Bloomberg or Intex, along with certifications like CFA or FRM, is highly valuable. Attention to detail, problem-solving, and effective communication are crucial soft skills in this role. These capabilities enable accurate analysis of complex financial instruments and support sound decision-making in fast-paced, high-stakes environments.

What are some typical challenges faced by professionals working in Structured Labs roles, and how can they be addressed?

Professionals in Structured Labs often encounter challenges such as managing complex data sets, ensuring compliance with strict regulatory standards, and collaborating effectively with cross-functional teams like product development and compliance. To address these, it’s important to maintain strong organizational skills, stay updated on regulatory changes, and communicate proactively with stakeholders. Many teams use agile methodologies to facilitate collaboration and regularly hold knowledge-sharing sessions to ensure best practices are followed.

What is the difference between Structured Labs vs Data Analyst?

AspectStructured LabsData Analyst
Required CredentialsTypically requires a background in data science, programming, or engineering; certifications in data analysis or related fields are commonOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are beneficial
Work EnvironmentUsually in tech companies, research labs, or startups focusing on data-driven projectsCommonly in corporate settings, consulting firms, or finance sectors analyzing business data
Employer & Industry UsageUsed by tech firms, research institutions, and innovative startupsWidely used across industries like finance, healthcare, marketing, and consulting

Structured Labs and Data Analysts both work with data, but Structured Labs often focus on developing data-driven solutions and research, while Data Analysts primarily interpret existing data to inform business decisions. The roles overlap in skills but differ in scope and application.

What cities in California are hiring for Structured Labs jobs?

Cities in California with the most Structured Labs job openings:

Infographic showing various Structured Labs job openings in California as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 42% Physical, 1% Hybrid, and 57% Remote job distribution.

Semiotic Labs - Business Development

De Circle

San Francisco, CA • On-site, Remote

Full-time

Re-posted 29 days ago


Job description

Semiotic Labs is a research-driven engineering organization operating at the intersection of AI, cryptography, and decentralized infrastructure.
Through Agentium Network, Semiotic enables enterprises to deploy agentic AI systems that automate workflows, coordinate across systems, and enhance decision-making in complex environments.
The Role
We are hiring a Business Development Representative to drive enterprise adoption of agent-based AI systems.
This role combines:
  • Enterprise Sales & Partnerships
  • Workflow Discovery & No-Code Solution Design
  • Product Feedback & Iteration

You will work directly with enterprise clients to understand their workflows, build solutions using Agentium's tooling (no coding required), and convert opportunities into pilots, LOIs, and contracts.
Key Responsibilities
Enterprise Development & Partnerships
  • Build and leverage relationships with consulting firms, system integrators, and enterprise stakeholders
  • Identify and qualify opportunities within mid-to-large enterprises
  • Develop strategic entry points into target accounts

Customer Discovery & Workflow Mapping
  • Analyze and document customer workflows, bottlenecks, and decision processes
  • Translate business problems into structured, automatable workflows

Workflow Design (No-Code)
  • Build and prototype agent-based workflows using Agentium tooling
  • Demonstrate how AI agents can:
    • Automate operations
    • Coordinate across systems
    • Improve decision-making

Product Feedback & Iteration
  • Act as a bridge between enterprise users and product/engineering teams
  • Deliver structured feedback on:
    • Workflow gaps
    • Feature requirements
    • Usability improvements

Commercial Execution
  • Drive deals from initial engagement → pilot → LOI → contract
  • Secure:
    • Letters of Intent (LOIs)
    • Pilot agreements
    • Enterprise contracts
  • Navigate multi-stakeholder enterprise environments (procurement, legal, innovation teams)

Market Intelligence & Positioning
  • Stay informed on enterprise AI adoption trends and consulting strategies
  • Position Agentium within broader AI transformation initiatives
  • Articulate clear business value propositions for different industries

  • Proven track record selling into mid-to-large enterprises
  • Strong network across:
    • Consulting firms (Big4, boutique, SIs)
    • Enterprise stakeholders (CIO, CTO, Innovation, Operations)
  • Experience in:
    • AI / data / automation / enterprise software
    • OR relevant industries (manufacturing, legal, data-intensive environments)
Core Skills
  • Ability to understand and map complex enterprise workflows
  • Comfortable building no-code / low-code solutions or prototypes
  • Strong consultative selling and stakeholder management skills
  • Demonstrated experience closing:
    • LOIs
    • Pilot agreements
    • Enterprise contracts
Domain Knowledge
  • Working understanding of AI applications in enterprise environments
  • Familiarity with at least one of:
    • Robotics / manufacturing systems
    • Legal / compliance workflows
    • Data-heavy operational systems
Nice to Have
  • Experience in early-stage (0→1) environments
  • Exposure to agent-based systems or automation platforms
  • Experience working closely with product and engineering teams
  • Background in consulting or working with consulting firms
What Success Looks Like
  • First 90 days:
    • Build pipeline of qualified enterprise opportunities
    • Develop initial workflow prototypes
    • Secure early pilots or LOIs
  • 6 months:
    • Close initial contracts
    • Establish repeatable sales + deployment motion
    • Contribute to product evolution through feedback
  • 12 months:
    • Scale enterprise pipeline
    • Build strong partnerships with consulting firms
    • Help define category positioning for agentic AI workflows