CData Software Visa Sponsorship USA
CData Software is a data connectivity and integration technology company that has sponsored work visas for skilled professionals in the U.S. While not among the highest-volume sponsors in the tech sector, CData does have an established track record with H-1B sponsorship, making it a viable target for international candidates with relevant technical expertise.
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Get Access To All JobsAbout CData Software, Inc.
CData is the data layer between AI and ROI—delivering the connectivity, context, and control that make enterprise AI more accurate. One platform for live access and data replication across 350+ sources, semantic intelligence that ensures context-aware responses, and built-in governance for every AI-to-data interaction. Powering AI and analytics workloads for Anthropic, Databricks, Microsoft, Google, Palantir, and more than 10,000 customers worldwide. Behind that impact is a global team of passionate problem-solvers, engineers, and innovators who are redefining what’s possible in data connectivity. Headquartered in Chapel Hill, North Carolina, CData has over 500 team members, with offices in North America, Europe, and Asia. We take pride not just in what we build, but in how we build it: together, with curiosity, creativity, and a shared drive to push boundaries.
About The Role
CData is building the data layer between AI and ROI. Our Connect AI platform is the first managed MCP (Model Context Protocol) solution for enterprise AI—delivering live connectivity to 350+ data sources, source-level semantic intelligence, and passthrough security in a single governed layer. Only 6% of enterprises are satisfied with their current AI data infrastructure. Every major AI platform—from OpenAI and Anthropic to Microsoft Copilot and AWS Bedrock—needs reliable data connectivity to deliver enterprise value. This is an opportunity to build the partnerships that position CData as the critical data layer powering the AI ecosystem. We're looking for a Principal Technical Product Marketing Manager, AI Ecosystems to drive our AI partnership marketing initiatives. You'll cultivate relationships with AI technology partners, develop co-marketing programs, and position CData as the connectivity layer that makes AI actually work with enterprise data. This role works at the intersection of emerging AI technologies and data integration, creating go-to-market strategies that demonstrate why CData is essential infrastructure for production AI deployments.
Why You Should Be Interested
The AI ecosystem is being built right now. You'll establish CData's partnerships with the platforms that will define enterprise AI for the next decade—with the resources of a scaled, profitable business behind you. 71% of AI teams spend more than a quarter of implementation time on data integration. Every AI platform provider is looking for connectivity solutions. The demand is real, and partners are actively seeking what CData offers.
Co-Marketing Strategy & Execution:
- Develop joint value propositions, messaging frameworks, and positioning that articulate how CData enables AI applications to access enterprise data sources
- Serve as the primary marketing point of contact for partner initiatives, owning the narrative and go-to-market positioning for each strategic partnership
- Design and execute co-marketing campaigns with AI partners, including joint webinars, content collaborations, and event participation
- Develop partner-specific marketing plans with clear goals, timelines, and success metrics
- Coordinate cross-functional teams to deliver integrated marketing programs
- Create compelling messaging and positioning for AI use cases that leverage CData connectivity solutions
Content & Thought Leadership:
- Partner with the Technology Evangelism team to develop technical marketing content that demonstrates CData's value in AI architectures (whitepapers, solution briefs, blog posts, use cases)
- Create enablement materials for partners including co-branded collateral, demo scripts, and technical guides
- Represent CData at AI-focused industry events, conferences, and partner summits
- Build thought leadership around data connectivity for AI applications through speaking engagements and content creation
Cross-Functional Collaboration:
- Partner with Product Management to ensure AI-related features align with ecosystem needs and partner feedback
- Collaborate with Developer Relations to create technical resources for AI developers
- Coordinate with Demand Generation to integrate partner campaigns into broader marketing initiatives
- Provide market intelligence to leadership on AI ecosystem trends and partnership opportunities
Qualifications
Must Haves:
- 7+ years of experience in B2B technology marketing, partner marketing, or ecosystem marketing
- Ability to communicate effectively with technical audiences at all levels—from developers and architects to executive stakeholders
- Proven experience in partner identification, prospecting, and relationship building within technology ecosystems
- Strong research and analytical skills with ability to map complex partner landscapes
- Demonstrated success in outreach campaigns and establishing new partnerships from the ground up
- Strong understanding of AI/ML technologies, LLMs, and how data connectivity enables AI applications
- Experience developing and executing co-marketing programs with technology partners
- Excellent communication and presentation skills with ability to engage technical and business audiences
- Experience creating technical marketing content for developer and IT decision-maker audiences
- Self-starter with strong project management skills and ability to drive initiatives independently
- Comfortable operating autonomously in a fast-paced, high-growth environment
Nice To Haves:
- Experience mapping and analyzing technology ecosystems and competitive landscapes
- Proven track record of cold outreach and building relationships with executive stakeholders
- Experience in data integration, APIs, or connectivity solutions
- Technical background or experience working closely with engineering teams
- Existing relationships within the AI ecosystem (OpenAI, Anthropic, Google AI, Microsoft, AWS, etc.)
- Experience with developer marketing or DevRel programs
- Understanding of enterprise software buying processes and IT infrastructure
Travel Required:
Occasional travel for partner meetings, industry events, and team collaboration (estimated 10–15%)
About CData Software, Inc.
CData is the data layer between AI and ROI—delivering the connectivity, context, and control that make enterprise AI more accurate. One platform for live access and data replication across 350+ sources, semantic intelligence that ensures context-aware responses, and built-in governance for every AI-to-data interaction. Powering AI and analytics workloads for Anthropic, Databricks, Microsoft, Google, Palantir, and more than 10,000 customers worldwide. Behind that impact is a global team of passionate problem-solvers, engineers, and innovators who are redefining what’s possible in data connectivity. Headquartered in Chapel Hill, North Carolina, CData has over 500 team members, with offices in North America, Europe, and Asia. We take pride not just in what we build, but in how we build it: together, with curiosity, creativity, and a shared drive to push boundaries.
About The Role
CData is building the data layer between AI and ROI. Our Connect AI platform is the first managed MCP (Model Context Protocol) solution for enterprise AI—delivering live connectivity to 350+ data sources, source-level semantic intelligence, and passthrough security in a single governed layer. Only 6% of enterprises are satisfied with their current AI data infrastructure. Every major AI platform—from OpenAI and Anthropic to Microsoft Copilot and AWS Bedrock—needs reliable data connectivity to deliver enterprise value. This is an opportunity to build the partnerships that position CData as the critical data layer powering the AI ecosystem. We're looking for a Principal Technical Product Marketing Manager, AI Ecosystems to drive our AI partnership marketing initiatives. You'll cultivate relationships with AI technology partners, develop co-marketing programs, and position CData as the connectivity layer that makes AI actually work with enterprise data. This role works at the intersection of emerging AI technologies and data integration, creating go-to-market strategies that demonstrate why CData is essential infrastructure for production AI deployments.
Why You Should Be Interested
The AI ecosystem is being built right now. You'll establish CData's partnerships with the platforms that will define enterprise AI for the next decade—with the resources of a scaled, profitable business behind you. 71% of AI teams spend more than a quarter of implementation time on data integration. Every AI platform provider is looking for connectivity solutions. The demand is real, and partners are actively seeking what CData offers.
Co-Marketing Strategy & Execution:
- Develop joint value propositions, messaging frameworks, and positioning that articulate how CData enables AI applications to access enterprise data sources
- Serve as the primary marketing point of contact for partner initiatives, owning the narrative and go-to-market positioning for each strategic partnership
- Design and execute co-marketing campaigns with AI partners, including joint webinars, content collaborations, and event participation
- Develop partner-specific marketing plans with clear goals, timelines, and success metrics
- Coordinate cross-functional teams to deliver integrated marketing programs
- Create compelling messaging and positioning for AI use cases that leverage CData connectivity solutions
Content & Thought Leadership:
- Partner with the Technology Evangelism team to develop technical marketing content that demonstrates CData's value in AI architectures (whitepapers, solution briefs, blog posts, use cases)
- Create enablement materials for partners including co-branded collateral, demo scripts, and technical guides
- Represent CData at AI-focused industry events, conferences, and partner summits
- Build thought leadership around data connectivity for AI applications through speaking engagements and content creation
Cross-Functional Collaboration:
- Partner with Product Management to ensure AI-related features align with ecosystem needs and partner feedback
- Collaborate with Developer Relations to create technical resources for AI developers
- Coordinate with Demand Generation to integrate partner campaigns into broader marketing initiatives
- Provide market intelligence to leadership on AI ecosystem trends and partnership opportunities
Qualifications
Must Haves:
- 7+ years of experience in B2B technology marketing, partner marketing, or ecosystem marketing
- Ability to communicate effectively with technical audiences at all levels—from developers and architects to executive stakeholders
- Proven experience in partner identification, prospecting, and relationship building within technology ecosystems
- Strong research and analytical skills with ability to map complex partner landscapes
- Demonstrated success in outreach campaigns and establishing new partnerships from the ground up
- Strong understanding of AI/ML technologies, LLMs, and how data connectivity enables AI applications
- Experience developing and executing co-marketing programs with technology partners
- Excellent communication and presentation skills with ability to engage technical and business audiences
- Experience creating technical marketing content for developer and IT decision-maker audiences
- Self-starter with strong project management skills and ability to drive initiatives independently
- Comfortable operating autonomously in a fast-paced, high-growth environment
Nice To Haves:
- Experience mapping and analyzing technology ecosystems and competitive landscapes
- Proven track record of cold outreach and building relationships with executive stakeholders
- Experience in data integration, APIs, or connectivity solutions
- Technical background or experience working closely with engineering teams
- Existing relationships within the AI ecosystem (OpenAI, Anthropic, Google AI, Microsoft, AWS, etc.)
- Experience with developer marketing or DevRel programs
- Understanding of enterprise software buying processes and IT infrastructure
Travel Required:
Occasional travel for partner meetings, industry events, and team collaboration (estimated 10–15%)
Job Roles at CData Software Companies
How to Get Visa Sponsorship in CData Software Visa Sponsorship USA
Target roles in data engineering and software development
CData's core business centers on data connectivity and integration tools, so engineering and software development roles are most likely to attract sponsorship consideration. Positioning your experience around data pipelines, APIs, or enterprise software will strengthen your candidacy.
Apply well before H-1B cap season in March
H-1B registrations open in early March each year. Securing an offer from CData Software before that window closes is essential if you need cap-subject sponsorship, so begin your outreach and applications several months in advance.
Demonstrate specialty occupation alignment clearly in your application
For H-1B eligibility, your role must qualify as a specialty occupation requiring at least a bachelor's degree in a specific field. Tailor your resume to show how your technical degree directly applies to the data or software engineering role you're targeting.
Use Migrate Mate to confirm CData's sponsorship history before applying
Not all companies sponsor consistently across roles or years. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and confirm CData Software is actively sponsoring before investing time in the application process.
Highlight experience with enterprise data integration or connectivity platforms
CData's products serve enterprise clients managing complex data environments. Candidates with hands-on experience in ODBC, JDBC, REST APIs, or ETL workflows speak directly to CData's technical needs and are more likely to clear internal sponsorship approval thresholds.
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Get Access To All JobsFrequently Asked Questions
Does CData Software sponsor H-1B visas?
Yes, CData Software sponsors H-1B visas. The company has an established sponsorship track record within the technology and software industry, primarily supporting technical roles such as software engineers and data specialists. While CData is not among the highest-volume H-1B sponsors in the sector, it does have a consistent history of filing on behalf of qualifying international employees.
Which visa types does CData Software sponsor?
CData Software sponsors both H-1B and TN visas. H-1B is the primary pathway for most international candidates, while TN is available exclusively to Canadian and Mexican nationals in qualifying professional categories. CData has not had a recent track record of Green Card sponsorship, so candidates seeking permanent residence should factor that into their long-term planning.
Which departments or roles at CData Software are most likely to receive visa sponsorship?
Sponsorship at CData Software tends to concentrate in technical functions, particularly software engineering, data integration, and product development. Given the company's focus on data connectivity solutions, roles requiring expertise in API development, database technologies, or enterprise software architecture align most closely with its core hiring needs and sponsorship patterns.
How do I time my application to maximize my chances of H-1B sponsorship at CData Software?
The H-1B cap registration window opens in early March each year, with the lottery typically run shortly after. To have CData Software file on your behalf, you'll need a formal offer in place before that window. Aim to begin your application process in the preceding fall or winter to allow sufficient time for interviews, offer negotiation, and paperwork preparation.
How do I find open roles at CData Software that offer visa sponsorship?
The most reliable approach is to search for CData Software directly on Migrate Mate, which aggregates jobs from verified sponsoring employers and lets you filter by visa type and company. This saves you from applying to roles where sponsorship is unclear or unavailable. Once you've confirmed an open position, apply directly through CData's careers page with a tailored application highlighting your technical background.
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