CData Software

Full-stack Engineer

• Contribute to and lead components of cloud-native, scalable, multi-tenant architecture.
• Design and develop robust, scalable backend services and APIs using Java, Kotlin, TypeScript, or C#.
• Partner with product, design, and engineering leaders to shape technical solutions to business problems.
• Solve complex problems in distributed systems, data infrastructure, observability, performance, and reliability.
• Contribute to the design and implementation of AI/LLM-powered features and services.
• Guide and support other engineers, lead technical design reviews, contribute to team best practices, and champion engineering excellence.
• Take features from concept to production with thoughtful design, testing, instrumentation, and supportability.
• Evaluate new technologies and tools, prototype solutions, and share insights with the team.
• Drive initiatives end-to-end, from problem framing and design through implementation, rollout, and long-term support.
• AI-First Development: Apply AI-first development practices to improve engineering velocity and quality.

Software Engineer III

Product Marketing

• Own Connect AI positioning across use cases like conversational AI (ChatGPT, Claude, Copilot) and agentic build (n8n, Copilot Studio)
• Overhaul and uplift CData’s brand presence (collateral, sales enablement tools, website) with exciting new AI-oriented visual identity and brand voice created by a top-tier design agency (in process, Q’1-2 timing).
• Define competitive strategy with differentiation that can withstand technical scrutiny from hands-on evaluators
• Lead market development for the managed MCP category, establishing CData as the thought leader in AI data infrastructure
• Partner cross-functionally to define and execute quarterly and annual GTM strategies, owning overall growth performance for Connect AI
• Create technical content that passes the "hands-on validator" test—architecture guides, security reference docs, and deployment playbooks that Directors of Architecture actually use during evaluation
• Develop clear value narratives for the three pillars of our overall messaging framework: Connectivity (live access to 350+ sources), Context (semantic intelligence), and Control (passthrough security with audit trails)
• Serve as the subject-matter expert for Connect AI, enabling Sales, Customer Success, and Marketing teams with use case articulation and competitive positioning
• Lead customer, market, and buyer research to uncover insights that inform positioning, messaging, and differentiation
• Translate customer feedback and competitive insights into roadmap recommendations—particularly around MCP adoption, semantic modeling, and governance features
• Partner with Product on launch strategy for new capabilities, AI platform integrations, and enterprise capabilities
• Plan, organize, and execute complex marketing initiatives end-to-end, including multi-product launches and major GTM programs
• Stay up-to-date on the latest market developments around AI and Agent platforms to inform our strategy
• Conduct first-party research with trialers, prospects, and customers to form a perspective on our go-to-market and validate our messaging
• Monitor competitive activity and proactively develop strategies to counter threats and capitalize on market opportunities
• Track and analyze key business performance metrics to assess GTM effectiveness, market adoption, and growth trends
• Adopt AI tools and processes to optimize your own productivity (with a budget to support it) and help lead projects to rollout AI to the Marketing team
• Provide guidance, review, and informal mentorship to other Product Marketing Managers to elevate overall team effectiveness

Principal Technical Product Marketing Manager – Connect AI

• Develop positioning of Embedded offerings across ISV use cases—analytics, copilots/AI features, workflow/automation, and data ingestion.
• Define competitive strategy against build-in-house, unified API providers, and embedded iPaaS grounded in technical accuracy.
• Help lead market development for embedded connectivity in the AI era, reinforcing CData as the standard for enterprise-grade embedded data access.
• Partner cross functionally to define and execute quarterly and annual GTM strategies, owning growth performance for the embedded market.
• Overhaul and uplift embedded GTM presence (collateral, sales enablement tools, website) with exciting new AI-oriented visual identity and brand voice (in process, Q’1-2 timing).
• Create technical content that meets the expectations of engineering evaluators—architecture guides, implementation patterns, integration reference docs, and security explanations.
• Build clear value narratives around the core pillars of Embedded: Connectivity (350+ enterprise sources), Context (feature-complete coverage), and Control (resilience to API changes, security, high-volume workloads).
• Serve as the subject-matter expert for embedded products, equipping sales, customer success, and marketing with technical messaging and differentiation.
• Lead customer, market, and buyer research to inform messaging for both Tier 1 enterprise ISVs and Tier 2 high-growth SaaS teams.
• Translate customer feedback and competitive insights into roadmap input—especially around coverage gaps, performance expectations, and feature needs.
• Partner with product on launches for new products, features, security enhancements, and developer-tooling improvements (packaging, configuration experiences, metadata discovery, authentication flows, and test-environment support).
• Plan and execute complex marketing programs end-to-end, including product-wide release cycles and major embedded GTM programs.
• Stay current on ISV, SaaS, and AI platform trends—especially how ISVs are embedding copilots, agents, and analytics that depend on deep connectivity.
• Conduct first-party research with prospects, and embedded customers to refine narrative and validate value propositions.
• Monitor competitive activity (unified API and embedded iPaaS providers) and develop counter-strategy position frameworks.
• Track and analyze business performance metrics related to embedded engagement, opportunity development, and pipeline health.
• Adopt AI tools to improve productivity and help pilot AI-driven processes across the marketing organization.
• Provide mentorship to other PMMs to raise team-wide technical and strategic capability.

Principal Technical Product Marketing Manager – Connect AI Embedded

• 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
• 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
• 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

Principal Technical Product Marketing Manager, AI Ecosystem

Accountant

• Oversee the Accounts Payable (AP) process, which includes vendor set-up, processing of expense invoices, coding invoices into NetSuite, and processing biweekly AP payments.
• File annual 1099s for all applicable vendors.
• Manage Concur and process related expense reports each month including corporate card and employee reimbursement expenses.
• Prepare monthly reconciliations to support an efficient and accurate month-end close process including, but not limited to, bank reconciliations, fixed assets, prepaid expenses, etc.
• Participate in Ad Hoc projects and other tasks as required.
• Develop relationships with other employees throughout CData to drive excellent communication between the finance team and the functional teams across the organization.
• Assist with annual financial statement audit.
• Create and update process narratives for all related finance areas.

Staff Accountant

Developer Relations

• Build Developer Trust & Community
• Establish CData’s technical voice across developer communities focused on AI, MCP, agent architecture, integration platforms, and data connectivity.
• Build a content strategy and deliver deep technical content including architecture guides, reference implementations, integration tutorials, developer thought leadership.
• Represent CData at developer conferences, technical events, and online developer communities.
• Create technical case studies that tell the “how they built it” story alongside product marketing’s business outcome version, the same customer story tailored for two audiences.
• Build and grow CData’s developer presence across GitHub and relevant developer platforms.
• Create feedback loops that bring developer insights and pain points directly into roadmap discussions.
• Drive Developer Engagement & Adoption
• Define the developer journey from discovery to first successful integration with the platform.
• Improve developer onboarding and time-to-first value through documentation, sample projects, and tutorials.
• Partner with Marketing to amplify high-impact technical content and developer programs.
• Identify and activate high-leverage developer communities, platforms, and technical ecosystems.
• Define, instrument, and analyze developer engagement metrics that reflect your mission of trust and adoption.
• Build programs that grow the developer ecosystem and expand CData’s footprint in technical communities.
• Activate Internal Developer Expertise
• Enable engineers, architects, and product teams to contribute to developer outreach and technical storytelling.
• Partner with Technical Evangelists and Product Marketing to align messaging and community initiatives.
• Surface developer insights internally to influence product decisions and developer experience improvements.
• Build & Lead the Developer Relations Program
• Define the strategy, operating model, and metrics for Developer Relations at CData.
• Hire and develop a team of developer advocates and community leaders as the program scales.
• Own budgets for developer events, programs, and community initiatives.

Director, Developer Relations

• Own positioning, messaging, and value proposition for the product across core customer segments and use cases.
• Develop and maintain a deep understanding of customers, buying journeys, and technical use cases.
• Partner with Product Management to align roadmap, releases, and market needs.
• Monitor competitive landscape, market trends, and customer feedback to inform strategy and differentiation.
• Lead go-to-market planning and execution for launches, including messaging, targeting, channels, and success metrics.
• Translate roadmap updates into external announcements and campaigns.
• Partner with Sales to support pipeline generation, deal support, and competitive positioning.
• Create and maintain high-impact sales enablement materials.
• Enable sales teams to confidently articulate product value, differentiation, and technical advantages.
• Develop product-led content and support thought leadership related to data integration, analytics, and product specific use cases in partnership with Marketing.
• Define and track key metrics related to product adoption, pipeline contribution, launch success, and messaging effectiveness.
• Use data and feedback to continuously refine positioning, GTM strategy, and enablement.

Senior Product Marketing Manager

Performance Marketing

• Own the translation of ICP strategy into outbound programs that drive meetings and conversions, deciding how targeting, messaging, channels, and sequencing come together by offering.
• Design and adapt ICP outbound programs by product line (Connect AI, Sync, Embedded), recognizing differences in buyer profiles, value propositions, and conversion motions.
• Shape how ICP outbound programs integrate with broader demand and product funnel strategy, partnering with Demand Generation to ensure outbound complements (and accelerates) inbound motion.
• Improve targeting precision and program efficiency by building segmentation frameworks (industry, firmographics, technographics, persona/role, triggers).
• Operate a strong test-and-learn cadence: launch experiments, measure outcomes, and scale what works without overcomplicating execution.
• Make informed tradeoffs between scale vs precision, accounts vs personas, and channels vs sequences, adjusting ICP outbound strategy based on performance and capacity.
• Own performance against ICP outbound goals (meetings booked, conversion rates, pipeline, and bookings) using reporting to actively refine strategy, targeting, and execution.
• Use performance signals to diagnose drop-offs, sharpen targeting, and improve conversion through the motion in partnership with Demand Managers, XDR, and Marketing Ops.
• Use Clay as the primary engine for ICP outbound, designing account discovery, enrichment, persona mapping, and trigger-based workflows that directly support meeting and conversion goals.
• Create reusable outbound plays (clear targeting rules, required inputs, handoffs, and measurement) that teams can run consistently.
• Build programs that are designed to scale - documenting decisions, workflows, and learnings so successful motions can be repeated and expanded.
• Partner with XDR to drive execution and performance of ICP outbound plays across email, LinkedIn, and targeted account motions.
• Keep stakeholders aligned through crisp program briefs, clear owners, and consistent updates.
• Work with Marketing Ops to ensure reliable workflows and accurate reporting across the core stack (e.g., Salesforce, Pardot, Clay, Nooks, and adjacent tools).
• Use AI tools day-to-day to create competitive advantage in ICP outbound—automating where possible, accelerating insight, and enabling faster iteration than traditional demand motions.

Demand Generation Manager – ICP Programs

Engineer

• Be the trusted technical advisor for enterprise clients, understanding their data integration challenges and business objectives
• Lead architectural design sessions and workshops to define an optimal data architecture and situate CData within an ecosystem of existing / competing approaches
• Provide strategic guidance on data integration best practices, governance, and scalability
• Collaborate with client’s technical leadership to explain how technical recommendations and decisions correlate to business impacts and priorities
• Present technical solutions and recommendations to C-level executives and technical stakeholders
• Design comprehensive data integration architectures using CData's connectivity platform
• Create detailed technical specifications, solution blueprints, and implementation roadmaps which are contextual to your customer current and future state
• Evaluate client environments and recommend appropriate CData product configurations for the current and future state architecture
• Collaborate with Solution Engineers to deliver compelling product presentations, demonstrations, proof-of-concepts, and MVP launches
• Stay current with emerging data integration technologies and industry trends
• Lead complex technical discussions
• Collaborate with client engineering teams to influence their strategic vision for data platform investments / product development and roadmap
• Mentor junior team members and share architectural best practices across CData
• Present at conferences on data integration and the role of data in AI investments
• Ensure successful implementation (MVP) and subsequent end user adoption of CData solutions within client environments in collaboration with Customer Success Managers
• Identify expansion opportunities and drive technical wins that lead to account growth
• Identify areas of CData product development which will lead to account growth
• Support enablement of the sales team on new technology and trends
• Lead presentations at industry conferences / webinars regarding client successes

Forward Deployed Engineer

Product Operations

• AI-Native Product Lifecycle Transformation: Redesign and operationalize the end-to-end product lifecycle to embed AI across planning, design, development, testing, documentation, support, and release workflows
• Product Operating System Architecture: Define and evolve the architecture, tooling, and systems that support an AI-native product lifecycle
• Build and deploy automation and agent-driven workflows that reduce manual overhead and increase execution speed
• Product Intelligence & Decision Systems: Build AI-assisted roadmaps and launch communication systems that connect product strategy through execution and go-to-market delivery