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Intelligence Assistant Jobs in California (NOW HIRING)

Wing Assistant

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

cathaybank

Sr Business Intelligence Analyst

Rosemead, CA · On-site

$36.06 - $43.27/hr

Spearhead or assist in testing to validate that insights align with defined requirements. * Uphold ... Reporting/Business Intelligence tools such as Business Objects, SSRS, QlikView. Data marts and data ...

cathaybank

Sr Business Intelligence Analyst

Rosemead, CA · On-site

$36.06 - $43.27/hr

Spearhead or assist in testing to validate that insights align with defined requirements. * Uphold ... Reporting/Business Intelligence tools such as Business Objects, SSRS, QlikView. Data marts and data ...

Cathay Bank

Sr Business Intelligence Analyst

Rosemead, CA · On-site

$36.06 - $43.27/hr

... Intelligence Analyst is central to enhancing and ensuring the smooth operation of the Data ... Spearhead or assist in testing to validate that insights align with defined requirements. * Uphold ...

Vagaro

Senior Business Intelligence Analyst

Pleasanton, CA · On-site

$130K - $150K/yr

... making * Assist with Microsoft Fabric-related tasks, including migration of data pipelines and ... business intelligence, data analysis, or analytics * Strong proficiency in SQL and Power BI ...

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Intelligence Assistant information

See California salary details

$10.9K

$101.6K

$131.3K

How much do intelligence assistant jobs pay per year?

As of Aug 20, 2026, the average yearly pay for intelligence assistant in California is $101,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $130,800.00 per year, depending on experience, location, and employer.

What is an intelligence assistant?

Intelligence Assistants are professionals who support intelligence operations by gathering, analyzing, and distributing information relevant to national security, law enforcement, or business needs. They work closely with analysts and officers to process data, prepare reports, and maintain sensitive records. Intelligence Assistants may utilize various databases, open-source information, and classified materials to assist in identifying potential threats or opportunities. Their role is crucial for the smooth functioning of intelligence agencies and organizations, ensuring decision-makers receive accurate and timely information.

What are the key skills and qualifications needed to thrive as an intelligence assistant?

To thrive as an Intelligence Assistant, you need strong analytical skills, attention to detail, and a background in criminal justice or international relations, often supported by a relevant degree or security clearance. Familiarity with data analysis tools, intelligence databases, and secure communication systems is typically required. Excellent critical thinking, discretion, and effective communication are standout soft skills for this role. These skills and qualities are crucial for accurately gathering, assessing, and conveying sensitive information to support informed decision-making in security operations.

How does an intelligence assistant typically collaborate with analysts and decision-makers in an organization?

Intelligence Assistants often work closely with analysts and decision-makers by gathering, organizing, and preparing data that supports strategic initiatives. They may be responsible for conducting preliminary research, monitoring relevant information sources, and ensuring that critical details are communicated efficiently to the appropriate teams. Collaboration usually involves regular meetings, sharing reports, and providing timely updates to help inform key decisions. This role requires strong communication skills and the ability to adapt to fast-paced, confidential environments.

What is the difference between Intelligence Assistant vs Intelligence Analyst?

AspectIntelligence AssistantIntelligence Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require a bachelor's degreeBachelor's degree in intelligence, security studies, or related field; often a master's is preferred
Work EnvironmentSupportive office settings, government agencies, or military facilitiesAnalytical environments, government agencies, military, or private security firms
Employer & Industry UsageUsed in government, military, and intelligence agencies for administrative and support rolesUsed for in-depth analysis, reporting, and strategic intelligence in similar sectors

Intelligence Assistants primarily provide administrative and support functions within intelligence teams, while Intelligence Analysts focus on analyzing data and producing intelligence reports. Both roles are essential in the intelligence community but differ in responsibilities and expertise required.

Do intelligence assistant jobs pay well?

Intelligence assistant jobs typically offer competitive salaries that vary based on experience, education, and location. Entry-level positions may start with moderate pay, while experienced assistants working in government or private sectors can earn higher salaries, often supplemented with benefits and security clearances.

What are the most commonly searched types of Intelligence jobs in California?

The most popular types of Intelligence jobs in California are:

What are popular job titles related to Intelligence Assistant jobs in California?

For Intelligence Assistant jobs in California, the most frequently searched job titles are:

What job categories do people searching Intelligence Assistant jobs in California look for?

The top searched job categories for Intelligence Assistant jobs in California are:

What cities in California are hiring for Intelligence Assistant jobs?

Cities in California with the most Intelligence Assistant job openings:

Intelligence Assistant jobs near you
Infographic showing various Intelligence Assistant job openings in California as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $101,590 per year, or $48.8 per hour.

Senior/Staff Software Engineer (Search & Retrieval)

Actively AI

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago

Job description

About Actively AI
Actively AI is defining a new category: Intelligence-Led Revenue.
Revenue organizations have always been bottlenecked on human capacity. Reps triage which accounts get attention. Context disappears at every handoff. On any given day, the vast majority of accounts have exactly zero people thinking about them.
Actively addresses this at the structural level. Our platform deploys Per-Account AgentsTM across our customers' TAM, working 24/7 to research, identify opportunities, and advance next steps without being asked. Leading enterprises including Ramp, Ironclad, and Samsara are already making this shift.
Our co-founders are former Stanford AI researchers, and the team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We've raised $68M from TCV, First Harmonic, Bain Capital Ventures, First Round Capital, and more.
About the Role
We're looking for a Senior / Staff Software Engineer - Search & Retrieval to build and scale the systems that power Actively's AI agents to find, rank, and reason over data.
When an Actively agent decides which account to prioritize or what action to take next, it reasons over retrieved context; data pulled from customer records, call transcripts, signals, and internal intelligence. Get that retrieval right and the agent acts with precision. Get it wrong and it doesn't matter how good the underlying model is.
You'll design and build the search, retrieval, and relevance infrastructure that feeds every agent at Actively from the enrichment and entity extraction that turns raw data into something queryable, to the ranking systems that determine what context an agent actually sees. The data is diverse, messy, and customer-specific. Freshness matters. So does precision. And the consumer isn't a human browsing results but it's a model that will act on whatever you give it.
What You'll Do
  • Build the retrieval layer agents depend on. Design and scale the search and retrieval infrastructure that feeds Actively's agents, covering indexing, querying, ranking, and filtering across diverse customer data sources.
  • Turn raw, unstructured data into something retrievable. Design enrichment and entity extraction systems that pull structure, relationships, and context out of call transcripts, documents, and signals, making them queryable in ways that improve what agents actually see.
  • Own the Search for Agents Architecture: Define how data gets represented and stored, making deliberate choices about granularity, embedding models, and index configuration for different data types and use cases.
  • Build and iterate on ranking systems. Design and deploy reranking layers that maximize relevance for agent queries, and evolve them as data patterns and use cases change.
  • Develop shared retrieval primitives. Build the APIs and retrieval interfaces used by the Intelligence, Assistant, and Orchestration teams, balancing flexibility with consistency across consumers.
  • Own retrieval quality end to end. Build and maintain evaluation infrastructure using classical IR metrics, task-level success signals, and LLM-based techniques, catching regressions before they affect agent behavior.
Who You Are
  • Deep experience in search or retrieval systems. You have 5+ years building and operating retrieval systems in production, across multiple customers, data sources, or domains, and understand what relevance actually means at scale.
  • Background in information retrieval or applied ML. You've tuned relevance, deployed reranking strategies, and improved result quality in production, not just in experiments.
  • Understands the freshness problem. You've built retrieval pipelines over fast-changing data, including near-real-time indexing, incremental updates, or event-driven ingestion, and know how freshness trade-offs affect system design.
  • Comfortable with hybrid retrieval approaches. You've worked with systems that combine semantic search, keyword and lexical matching, and metadata filtering to balance recall, precision, and reliability.
  • Rigorous about evaluation. You've designed or evolved retrieval evaluation frameworks using IR metrics, task-level success signals, or automated quality checks, and you treat regressions as real incidents.
  • Thinks about retrieval architecture holistically. You know when to pre-compute versus retrieve at query time, how to manage index growth, and how to design retrieval paths that stay relevant as scale increases.
Nice to Haves
    • Prior experience at a search or retrieval-focused company (Elastic, Algolia, Cohere, Pinecone, Weaviate) or building shared search infrastructure used across multiple teams or products.
    • Experience with entity resolution, knowledge graph construction, or relationship extraction at scale, particularly over noisy or inconsistently structured source data.

Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Actively.ai reserves the right to modify this information at any time, subject to applicable law.
Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
Compensation Range:
$160,000-$220,000 USD
Why Join
At Actively, you write playbooks rather than follow them. You own outcomes, not just tasks, and see directly how your work changes what customers can do - across a product and go-to-market motion that is scaling fast.
The team is high-caliber and low-ego: people who work from first principles, move with urgency, and care deeply about building something that drives real value. If that's the kind of challenge you're looking for, Actively is the right place.
Benefits
  • Competitive Early-Stage Equity
  • Health, Dental, Vision Coverage
  • Unlimited PTO + Recharge Days
  • Catered Lunch on Tuesday & Friday, Dinners every day!
  • Fully Stocked Kitchen
  • Cutting-Edge Tech & Tools
  • Annual Off-sites & Monthly Events
  • Commuter Benefits
  • Cozy Office in NYC

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