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Remote Intelligence Jobs in Florida (NOW HIRING)

$172K - $221K/yr

About Crystal Crystal Intelligence is a blockchain analytics and compliance intelligence company ... Remote

VoicedIQ is the industry leader in public sector bid intelligence for companies (Federal ... All VoicedIQ positions are US-based remote roles working in EST. To see the list of all of our ...

Data Operations Manager

Jacksonville, FL · On-site +1

$145K - $165K/yr

Canoe Intelligence WEBSITE: TITLE: Data Operations Manager, Asset Data LOCATION: Jacksonville, NYC, London Preferred or Remote SALARY: $145,000 to $165,000 base salary plus bonus and equity The Role:

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Remote Intelligence information

See Florida salary details

$34K

$78.2K

$107.6K

How much do remote intelligence jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote intelligence in Florida is $78,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $88,600.00 per year, depending on experience, location, and employer.

What is a Remote Intelligence job?

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, and why are they important?

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 Florida? The most popular types of Intelligence jobs in Florida are:
What cities in Florida are hiring for Remote Intelligence jobs? Cities in Florida with the most Remote Intelligence job openings:
Infographic showing various Remote Intelligence job openings in Florida as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution, with an average salary of $78,199 per year, or $37.6 per hour.

VP of Engineering (Remote)

Crystal Intelligence

On-site, Remote

$172K - $221K/yr

Full-time

Posted 24 days ago


Job description

About Crystal
Crystal Intelligence is a blockchain analytics and compliance intelligence company serving exchanges, financial institutions, regulators, and law enforcement across 100+ blockchains. Our customers depend on us for low-latency, high-availability risk and transaction intelligence that powers operational decisions.
Crystal is entering the most consequential platform shift in its history: a full migration from our current data architecture to a new, AI-native data pipeline that will define the company's next decade of scale, speed, and product capability. This is the role that owns it.
Role summary
Crystal's engineering organization has grown organically. The current architecture serves a large and loyal customer base, but it is reaching the limits of what feature-driven growth can sustain. In parallel, we have built a new data pipeline architecture led by a dedicated platform team.
The strategic priority for 2026 is to migrate Crystal end-to-end from the legacy stack to the new pipeline - without disrupting customer SLAs, while continuing to ship the product roadmap, and while rebuilding engineering management discipline. The VP of Engineering will own this migration.
The mission is concrete: deliver the new pipeline into production behind every Crystal product, restore platform-grade latency and reliability, and convert the existing organization into one that ships predictably and uses AI as a productivity multiplier.
What You'll Do
Own the platform migration end-to-end
  • Lead the integration of the new data pipeline into all Crystal products: Crystal Expert, Crystal Foresight, Monitor, Risk Check API, Data Intelligence, and Crystal Light
  • Sequence the migration to preserve revenue and customer trust: no SLA regressions, no rollback drama, no surprise downtime
  • Drive the architectural decisions and trade-offs that the legacy-to-new transition requires, including data model alignment, service-by-service cutover, and parallel-run validation
  • Hold engineering, product, and customer success aligned on a single migration roadmap with clear customer-impact gates

Restore platform foundations
  • Bring API and core platform latency back to target: 1,000 RPS at sub-two-second latency, scaling toward 10k RPS
  • Reduce database load, fix stability regressions exposed by recent releases, raise release velocity to multiple deployments per week
  • Lead the multi-chain platform with discipline across 100+ chains: predictable integration timelines, accountable squad ownership, clear SLAs to commercial partners

Rebuild the engineering management layer
  • Partner with the existing engineering leadership to establish clear accountability across squad leads, engineering managers, and platform teams
  • Set the standard for what good engineering management looks like at Crystal: predictable delivery, transparent planning, technical depth, people development
  • Make the hiring, performance, and structural decisions required to bring the organization to the level the platform demands

Drive AI into engineering as a productivity lever
  • Build shared infrastructure for AI-assisted engineering: code generation, automated testing, agent-based migration tooling, internal knowledge systems
  • Move Crystal from individual AI tool usage to organization-wide AI productivity, with measurable impact on delivery throughput
  • Reduce OpEx-to-revenue through architectural improvements, automation, and reduction of manual operational load

Partner with the business
  • Work directly with product, GTM, customer success, and finance to translate engineering investments into customer outcomes and revenue
  • Communicate trade-offs, risks, and progress clearly to the executive team and board
  • Own the engineering budget, hiring plan, and vendor decisions

What Success Looks Like (12 Months)
  • New data pipeline architecture is in production powering Crystal's core products
  • Customer SLAs are met or exceeded throughout the migration; no customer churn attributable to platform instability
  • Latency restored and improved; release cadence shifted from monthly to weekly or faster
  • Engineering management layer operating with clear accountability and predictable delivery
  • AI-assisted engineering infrastructure deployed and measurable productivity gains realized
  • OpEx-to-revenue ratio meaningfully reduced toward target

Requirements
  • 10+ years engineering experience, with 5+ years leading platform, data, or infrastructure organizations as VP Engineering, Head of Engineering, or equivalent
  • Led at least one major platform migration or large-scale rebuild, with continuous customer service maintained throughout
  • Operated low-latency, high-availability distributed systems with multi-tenant SaaS workloads at production scale
  • Production experience integrating AI into engineering workflows, including agent-assisted development and AI-driven automation
  • Strong product partnership instincts - you have shaped what gets built and how it ships
  • Track record of building accountable, high-ownership engineering organizations
  • Direct experience in one or more relevant domains: blockchain or crypto, fintech, payments, fraud or risk platforms, regulatory technology, or large-scale data platforms

Department Software Engineering Locations Miami Remote status Fully Remote