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Signal Intelligence Jobs in Ontario (NOW HIRING)

Monitor competitor activity and market signals using agentic AI monitoring tools, with disciplined ... Maintain and evolve the competitive intelligence knowledge base * Present competitive insights and ...

New

RFIC Design Co-Op (Jan-Dec 2027)

Ottawa, ON · On-site

CA$25 - CA$44/hr

Requisition ID: 78205 Description Skyworks Solutions is seeking a University student for an RFIC design and lab testing position for its RF Mixed-Signal Intelligence Solutions (RMI) business unit at ...

Ensure the Signaling System Design and ATC Gap Analysis from a define version to achieve proper ... Artificial intelligence may be used in the screening or assessment process for this role. Benefits ...

The role oversees business intelligence, reporting frameworks, system integrations, and continuous ... We are a proud subsidiary of Federal Signal Corporation. Our Core Values : Leadership, Customer ...

System Engineer - Signaling

Toronto, ON · On-site

CA$90K - CA$125K/yr

Providing technical interfaces with non-signaling teams * Formalizing and maintaining system ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

System Engineer - Signaling

Toronto, ON · On-site

CA$90K - CA$125K/yr

Providing technical interfaces with non-signaling teams * Formalizing and maintaining system ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

You'll pull signals from social platforms, on-chain activity, and paid media, and turn them into structured intelligence that shapes how we run accounts and campaigns, both internally and for clients.

Every day, our devices generate millions of telemetry events, crash reports, and quality signals ... We are looking for a Software Quality Intelligence Engineer to join our Analytics & Quality ...

Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure ...

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Showing results 1-20

Signal Intelligence information

See Ontario salary details

$19.5K

$77.6K

$173.5K

How much do signal intelligence jobs pay per year?

As of Aug 24, 2026, the average yearly pay for signal intelligence in Ontario is $77,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What is signal intelligence?

Signal intelligence, often abbreviated as SIGINT, is the process of collecting and analyzing electronic signals and communications from various sources to gather valuable information. This field plays a crucial role in national security, military operations, and intelligence agencies by intercepting radio, satellite, and other forms of electronic communications. Professionals in this area use specialized technology and methods to detect, interpret, and report on these signals to help inform strategic decisions. SIGINT can provide insights into the intentions, capabilities, and activities of potential adversaries.

What are the key skills and qualifications needed to thrive as a signal intelligence specialist?

To thrive as a Signal Intelligence specialist, you need strong analytical skills, attention to detail, and a background in electronics or computer science, often supported by military training or a relevant degree. Proficiency with signal analysis software, radio frequency (RF) systems, cryptographic tools, and sometimes certifications like CompTIA Security+ are commonly required. Exceptional problem-solving abilities, discretion, and effective communication are critical soft skills in this sensitive field. These competencies are essential for accurately interpreting complex data, ensuring security, and supporting critical decision-making in intelligence operations.

What are some common challenges faced by professionals working in signal intelligence roles?

Signal Intelligence professionals often encounter challenges related to rapidly evolving technology and encryption methods used by adversaries. Staying current with advancements in signal interception, analysis tools, and cybersecurity is essential to remain effective. Additionally, the role frequently requires collaboration across multidisciplinary teams, balancing strict confidentiality with the need to share insights for broader mission success. Adapting to high-pressure situations and extended hours during critical operations is also common in this field.

What is the difference between Signal Intelligence vs Communications Analyst?

AspectSignal IntelligenceCommunications Analyst
Required CredentialsSecurity clearances, military or government intelligence trainingDegree in communications, IT, or related field; certifications vary
Work EnvironmentIntelligence agencies, military, government facilitiesCorporate, government, or military settings focusing on communication systems
Employer & Industry UsagePrimarily government and defense sectorsPublic and private sector organizations, including defense and corporate sectors
Common Search & Comparison IntentUnderstanding intelligence gathering methodsAnalyzing communication systems and data

Signal Intelligence involves collecting and analyzing intercepted signals for intelligence purposes, often within government or military contexts. Communications Analysts focus on managing, analyzing, and improving communication systems in various organizations. While both roles require technical knowledge, Signal Intelligence emphasizes intelligence gathering, whereas Communications Analysts concentrate on communication infrastructure and data analysis.

How to get into signal intelligence?

To enter signal intelligence, candidates typically need a background in fields like cybersecurity, computer science, or electrical engineering, along with strong analytical skills. Security clearances are often required, and proficiency with communication protocols, encryption, and intelligence tools is beneficial. Relevant certifications and experience in military or government agencies can also improve prospects.

What does a signal intelligence specialist do?

A signal intelligence specialist analyzes electronic signals and communications to gather intelligence and support national security. They use specialized tools and techniques to intercept, decrypt, and interpret data, often working in secure environments and requiring knowledge of cryptography and communications systems.

What job categories do people searching Signal Intelligence jobs in Ontario look for?

The top searched job categories for Signal Intelligence jobs in Ontario are:

Infographic showing various Signal Intelligence job openings in Ontario as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,568 per year, or $37.3 per hour.

Full-time

Posted 3 days ago

New


Job description

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You’ll Do

Teradata seeks a Competitive Intelligence Analyst who will transform competitive insights into actionable business advantages. With primary focus on Databricks and additional coverage of Google BigQuery and IBM, you’ll be responsible for delivering strategic insights that drive revenue and market position. This isn't just about data collection – it's about turning competitive intelligence into winning strategies across product, marketing, and sales teams. You’ll work across the entire organization, serving as the expert on Databricks while maintaining comprehensive knowledge of BigQuery and Cloudera. Your role extends beyond research and analysis to becoming a trusted advisor who helps shape product strategy, influences go-to‑market approaches, and enables sales success. You’ll translate complex technical differentiators into compelling narratives that resonate with prospects, partners, and systems integrators.

Responsibilities
  • Own competitive intelligence gathering and analysis for Databricks (primary) and Google BigQuery and IBM watsonx, delivering actionable insights that drive business decisions
  • Conduct comprehensive research using both internal sources (sales teams, product teams) and external sources (social media, competitor websites, industry analysts, conferences)
  • Apply GenAI tooling — including Claude, Copilot, Gemini, and Crayon — to accelerate research workflows, expand coverage capacity, and maintain consistent analytical output across the coverage portfolio
  • Develop and maintain structured prompt libraries for repeatable CI research and content development workflows
  • Monitor competitor activity and market signals using agentic AI monitoring tools, with disciplined source verification and factual accuracy as a non‑negotiable standard for all work product
  • Create and maintain competitive battlecards, deep dives, and sales enablement materials that directly impact competitive win rates
  • Collaborate with marketing to develop differentiated positioning and messaging
  • Provide real‑time competitive sales support for high‑stakes GTM opportunities
  • Develop and deliver competitive training and enablement programs for global sales teams
  • Maintain and evolve the competitive intelligence knowledge base
  • Present competitive insights and recommendations to executive leadership
Who You’ll Work With

You will partner with product management to influence roadmap decisions based on competitive analysis, with particular depth in agentic AI architectures and vector datastore competitive dynamics.

What Makes You a Qualified Candidate
  • Bachelor's degree in a related field (Business, Marketing, Technology, or similar)
  • 5+ years of experience in competitive intelligence, market research, product marketing, or industry analysis
  • Understanding of the modern data and AI landscape — analytical platforms, machine learning infrastructure, and agentic AI architectures
  • Knowledge of vector datastores and open table formats (Iceberg, Delta, Hudi) as competitive subject matter
  • Hands‑on familiarity with GenAI tooling as a research and productivity methodology — including large language models, prompt engineering, and agentic monitoring platforms such as Crayon
  • Experience with the enterprise software sales cycle and competitive deal dynamics
  • Proven track record of enabling sales teams in competitive situations
  • Knowledge of the cloud ecosystem including public cloud, hybrid, and on‑premises environments
  • Travel may be required up to 15% of the time.
What You’ll Bring
  • Strong analytical mindset with the ability to transform complex data into actionable insights — and the discipline to verify AI‑generated research before it enters the work product
  • Excellent communication skills, both written and verbal, with proven presentation abilities to executive audiences
  • Strategic thinking and prioritization capabilities across a multi‑vendor coverage portfolio
  • Project management expertise to handle multiple concurrent initiatives
  • Research proficiency using both qualitative and quantitative methodologies, including AI‑augmented research techniques
  • Working knowledge of GenAI tooling — including large language models, prompt engineering, and agentic monitoring platforms — as applied research and productivity tools
  • Ability to build strong relationships across organizational functions
  • Understanding of data architectures, particularly cloud‑native analytics platforms, agentic AI architectures, and vector datastores
Why We Think You’ll Love Teradata

We prioritize a people‑first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well‑being because we care about our people and their ability to thrive both personally and professionally. We are an anti‑racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

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