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Remote Intelligence Jobs in Massachusetts (NOW HIRING)

Criminal Lawyer - Remote

Boston, MA ยท Remote

$140 - $400/hr

Remote (United States Only) Job Overview We are seeking experienced Criminal Lawyers to contribute ... Interest in legal technology, artificial intelligence, or interdisciplinary legal projects is a ...

Remote Travel Coordinator

Boston, MA ยท On-site +1

$40K - $70K/yr

Remote Travel Coordinators use established booking platforms and travel resources to assist with ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Remote Travel Coordinator

Boston, MA ยท Remote

$40K - $70K/yr

Remote Travel Coordinators use established booking platforms and travel resources to assist with ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top ... Design, develop, and deploy Decision Intelligence & AI-enabled products. * Work in Agile teams with ...

Department Sales & Business Development Locations Boston Remote status Fully Remote

Showing results 21-40

Remote Intelligence information

See Massachusetts salary details

$49.7K

$114.3K

$157.3K

How much do remote intelligence jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote intelligence in Massachusetts is $114,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is remote intelligence?

A Remote Intelligence job involves analyzing, collecting, and interpreting data relevant to national security, business, or other sectors, while working from a location outside a traditional office, often from home or another remote location. These roles often involve tasks like monitoring digital communications, reviewing satellite imagery, or assessing open-source information to provide actionable insights. Remote Intelligence professionals may work for government agencies, private companies, or consulting firms. This job requires strong analytical skills, attention to detail, and often a background in security, technology, or data analysis.

What are the key skills and qualifications needed to thrive as a remote intelligence analyst?

To thrive as a Remote Intelligence Analyst, you need strong analytical abilities, attention to detail, and a background in intelligence studies, international relations, or a related field. Familiarity with intelligence analysis software, data mining tools, and secure communication systems is typically required, along with relevant certifications like Security+ or Certified Intelligence Analyst. Excellent written communication, critical thinking, and discretion are crucial soft skills for interpreting data and sharing insights securely. These skills enable effective remote assessment of complex information, ensuring timely and accurate intelligence support for decision-makers.

How does working in a remote intelligence role typically impact collaboration and communication with team members?

In a Remote Intelligence position, effective collaboration and communication are essential, given that team members often work across different locations and time zones. Most teams rely heavily on secure digital platforms, such as encrypted messaging apps, video conferencing, and collaborative cloud-based tools, to share insights and coordinate tasks. Regular virtual meetings, clear documentation practices, and established communication protocols help ensure everyone stays aligned. Adapting to asynchronous communication and being proactive in sharing updates are key to overcoming the unique challenges posed by remote work in this sensitive field.

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

The most popular types of Intelligence jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Intelligence jobs?

Cities in Massachusetts with the most Remote Intelligence job openings:

Infographic showing various Remote Intelligence job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,284 per year, or $54.9 per hour.

Senior Product Manager, Search & Intelligence Experiences

Boston, MA โ€ข Remote

Recorded Future
Network Securityย โ€ขย 501 - 1,000 employees

$152K - $228K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Key responsibilities

  • Define and drive the product vision and roadmap for search, query, and display methods based on analyst workflows and competitive dynamics.

  • Rethink interaction paradigms and develop new models for how intelligence is surfaced, summarized, and navigated.

  • Partner with engineering, design, and data science to ship capabilities that are powerful and understandable to users.


Job description

Recorded Future is looking for a Senior Product Manager to own how analysts find, explore, and make sense of intelligence: search and query, the display methods and interaction paradigms that surface results, and the AI capabilities woven through all of them.

This role sits at the center of how users interact with our intelligence platform. You'll shape how someone goes from a question to an answer-and you'll have room to rethink the paradigms entirely, not just optimize what exists today. The goal is to make these experiences coherent, fast, and trustworthy for security analysts who work under time pressure and demand precision.

We also expect this PM to be a power user of AI in their own workflow-building agents, using them to synthesize research and inputs, and accelerating how product requirements and analysis get produced.

What You'll Do:
  • Define and drive the product vision and roadmap for search, query, and how results are displayed and explored-grounded in analyst workflows and competitive dynamics.
  • Rethink interaction paradigms from first principles where the current model doesn't serve users well.
  • Partner closely with engineering, design, and data science to ship capabilities that are both powerful and legible to non-technical and expert users alike.
  • Work with go-to-market and enablement teams to ensure new capabilities land with customers and internal stakeholders.
  • Make deliberate decisions about where AI adds genuine value versus where it introduces noise or erodes trust-especially critical for an audience that scrutinizes automated output.
  • Use quantitative signals and qualitative research to prioritize, measure impact, and iterate.
What You'll Own:
  • The search and querying stack: from query construction through the analysis and results experiences that let analysts explore, pivot, and refine.
  • Display methods and interaction paradigms: how intelligence gets surfaced, summarized, and navigated-with the mandate to invent new models where needed, not just maintain existing ones.
  • AI integration across these surfaces: how summarization, natural-language querying, and assistive capabilities are embedded into search and results in ways analysts can rely on and verify.
  • The connective tissue across these experiences-ensuring query, results, and exploration feel like one coherent system rather than separate tools.
How You Work with AI:
  • Build and orchestrate agents to automate parts of your own workflow-research synthesis, competitive monitoring, requirement drafting, and analysis.
  • Use AI to compress the path from raw inputs (customer calls, docs, data, stakeholder feedback) to structured requirements, PRDs, and decision-ready artifacts.
  • Treat AI tooling as a core part of the craft: experiment with new capabilities, develop reusable patterns, and raise the bar for how the product team operates.
  • Bring a builder's instinct-comfortable prototyping, wiring up tools, and getting hands-on rather than waiting for someone else to build the scaffolding.
What You Bring:
  • 5+ years in product management, with meaningful experience on search, data exploration, analytics, or information-dense B2B products.
  • A strong point of view on how to design for expert users working with complex data-and a willingness to challenge established interaction models.
  • Hands-on experience using AI/LLM tools in your own work-ideally including building or orchestrating agents-plus a clear grasp of their tradeoffs: summarization quality, hallucination risk, verifiability, latency.
  • Excellent collaboration skills across engineering, design, and data science, plus the ability to translate technical constraints into product decisions.
  • Bonus: background in cybersecurity, threat intelligence, or another domain where users are skeptical, high-stakes, and detail-oriented.
Preferred Qualifications:
  • Experience with graph-based data models, entity resolution, or knowledge graphs.
  • Exposure to enterprise or public-sector customers with strict requirements around accuracy and accessibility.
  • A track record of building personal or team-level AI tooling, automations, or side projects.

The base salary range for this full-time position is $152,000 - $228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

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