The Manager, Intelligence Systems & AI is a hands‑on systems builder responsible for developing, operating, and continuously improving the technical capabilities that power Communications' intelligence and external sense‑making work.
Locations (3)
United States
Minneapolis, Minnesota, United States
Washington, District of Columbia, United States
Responsibilities
Develop and operate AI‑enabled intelligence capabilities
Build knowledge and information foundations
Translate expert judgment into scalable workflows
Enable intelligence data and partner with Data and Technology teams
Own the strategy for capturing, structuring, and compounding sourcing data into a proprietary asset to make the platform smarter and defensible.
Compensation
The anticipated annual base salary range for this position is $150,000 - $250,000. Actual compensation may vary based on factors such as experience, skills, and location.
Responsibilities
Own the data product strategy and roadmap, defining how Globality captures customer data
Identify which data creates durable competitive advantage
Design the instrumentation strategy that captures high-value signals
Define canonical data models, taxonomies, and entity resolution
Build feedback loops that turn sourcing outcomes into training data and benchmarks
We are hiring a Enterprise Account Executive, Atlas to win new Fortune 500 logos and grow existing enterprise customers, owning six-figure deals from first conversation to signature.
Locations (2)
United States
Canada
Responsibilities
New logo acquisition
Build and run a target account plan for large enterprises where vendor master data quality is a mission-critical problem
Generate your own pipeline through outbound, executive outreach, partner and customer referrals, supported by Marketing and BDRs
Lead complex, multi-stakeholder sales cycles with leaders across procurement operations, data, IT, risk, and finance
Own expansion strategy for your named customers, working alongside Customer Success
Senior GTM Engineer within Professional Services, leading complex enterprise build engagements and partnering with sales to scope, architect, and pitch technical solutions.
Compensation
$108,500—$170,500 USD
Responsibilities
Serve as a technical subject matter expert and strategic partner to Sales
Lead complex, multi-phase enterprise build engagements
Design and build advanced workflows, automations, audiences, data flows
Architect solutions involving enterprise data strategy, multi-instance CRM integrations
Conduct technical assessments of customer GTM environments
Owns a defined area of an enterprise data platform, gathering client and engineering needs, defining product requirements, and guiding prioritization and migration to a cloud-native platform.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California: ($143,500.00 - $212,850.00 Annually)
Responsibilities
Uses data to build insights on product or platform requirements
Gathers insights from the customer experience and customer needs to input to product requirements
Analyzes research, market analysis and usability studies to support data-driven decision making
Monitors product profitability measures, including budget
Lead sprint planning, daily standups and retrospectives to drive execution
Requirements
Bachelor’s degree in computer science, engineering, or a related field
Nice to have: 6 or more years of product management experience
Nice to have: ownership of a data platform or developer-facing product at enterprise scale
Nice to have: experience leading large data or system migrations
Nice to have: background in payments, fintech, risk, or financial services data
Lead the strategy and roadmap for the intelligence fusion center within Veloxxity's integrated security platform, unifying data sources, analytic tools, and workflows for national security and defense agencies.
Compensation
$140,000 - $175,000+ per year
Responsibilities
Set the vision and roadmap; own the product strategy, roadmap, and priorities.
Build a modular baseline that adapts to different countries, agencies and security policies.
Define how the platform ingests and connects sources such as border and immigration systems, law enforcement records, vessel tracking, geospatial data, OSINT, commercial feeds, video and sensor feeds, watchlists, and authorized INTERPOL sharing.
Partner with intelligence professionals to build workflows for threat identification, link and network analysis, investigations and case management, alerting, reporting and interagency collaboration.
Own the backlog, write user stories and acceptance criteria, shape MVPs and phased releases, and join sprint planning, design reviews and demos.
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