Data Scientist

• Lead and manage the execution of EDB’s strategic Data, Automation, and AI roadmap from concept through production deployment.
• Translate high-level AI strategy into actionable, measurable programs with clear technical milestones and KPIs.
• Partner with Engineering and IT to ensure the scalable, secure, and compliant delivery of AI initiatives across EDB.
• Drive productionization of AI workflows, shifting from business-led proofs of concept to centrally supported, operationalized systems.
• Define and evolve the operating model for AI deployment, integrating data engineering, MLOps, and governance frameworks.
• Act as an AI enablement leader by embedding AI capabilities into core workflows across business functions.
• Partner with HR and Communications to scale digital fluency and AI literacy initiatives company-wide.
• Build repeatable enablement frameworks for internal and customer-facing AI applications within the Customer Zero model.
• Lead continuous feedback loops between internal users, product, and data teams to inform future enhancements.
• Collaborate with Product, Engineering, Legal, and Security teams to implement AI governance and data management standards.
• Partner with Trust, Risk, and Compliance to ensure all AI workloads adhere to security and regulatory policies.
• Drive alignment with the Central AI Committee and Communities of Practice on tooling, data access, and AI deployment patterns.
• Support EDB’s Postgres AI and Sovereign AI roadmaps, ensuring integration across analytical, transactional, and ML systems.
• Define, track, and report on KPIs tied to AI-driven business value such as automation efficiency, customer engagement, and retention uplift.
• Partner with BI teams to operationalize these metrics within tools like Tableau or other observability platforms.
• Build and maintain visibility into AI workloads, resource utilization, and infrastructure cost forecasting.
• Lead the measurement and reporting of impact across all AI initiatives, from internal productivity gains to customer outcomes.

Principal, Head of Data & AI Transformation Programs

Sales Engineer

• As Director - Sales Engineering, North America you will be responsible for driving growth and ongoing transformation of the US Sales function to achieve critical business objectives.
• Interacting with strategic and regional customers/prospects/partners on a regular basis to technically qualify, design and propose well rounded solutions to meet customer needs.
• Engage with existing key US customers and business partners, providing EDB technical expertise to help clients solve business problems and grow the subscription and services business.
• Provide subject matter expertise to ensure sales achieve their plan targets.
• Provide leadership to us sub-regions, regional leads, and regional SEs to ensure they qualify, demonstrate and propose winning solution bids with focus on qualification, validation, demonstration, PoC, Pilot, Implementation proposal activities. Also provide enablement plans and PoC/Pilot execution support.
• Work with EDB professional services to build statement of work required in the deployment of EDB solutions.
• Work with Partner Channel and ISV teams to help them sell EDB solutions or embed EDB solutions into products/services they in-turn sell. Provide technical leadership contact for IBM partner engagements in US, liaising with local EDB SE's to provide necessary tech support to IBM opportunities.
• Assist clients and partners to build training and enablement plans.
• Provide leadership to all EDB SE's in US, including enablement plans and project support.
• Provide EDB product management & engineering guidance on EDB product usage and performance in US with strong emphasis on field feedback based on experience to drive this process. Also provide product management competitive information.
• Engage effectively with Customer Success Management Teams to set the stage for post-sale customers/partners to get the value required out of EDB solutions.
• Support marketing teams in providing field input to key go to market (GTM) initiatives and creating deep-dive presentations/demo to be leveraged in the sales cycle process.

Director – Sales Engineering

Vice President

• Define strategy and priorities for the team, ensuring the team delivers on EDB’s corporate growth objectives through Strategic Alliances
• Define and execute EDB’s strategic alliances strategy, ensuring strict alignment with EDB's corporate growth and go-to-market priorities
• Oversee the management of strategic ecosystem partners across various categories, ensuring they contribute measurable ARR
• Establish clear sell-with and sell-through go-to-market (GTM) motions for EDB PG AI, ensuring alliance partners are enabled to accelerate customer acquisition and expansion
• Collaborate cross-functionally and lead organizational alignment with Product, Sales, Marketing, and Customer Success to embed alliance initiatives into EDB’s business strategy
• Personally lead the negotiation and closure of complex, high-value strategic agreements and partnerships
• Partner with Product leadership to secure alliances that accelerate product velocity
• Develop business cases and performance frameworks to measure alliance success, ROI, and overall ecosystem impact

VP, Strategic Alliances

Product Manager

• Define, champion and execute the year-long vision and strategy for our next-generation Postgres Analytics platform, informed by customer insights and emerging trends within the Lakehouse ecosystem
• Serve as the key subject matter expert on advanced data technologies, specifically the Lakehouse Ecosystem (including Apache Iceberg and Delta Lake), Apache Spark, ClickHouse, and modern Cloud Data Platforms (e.g. Snowflake, Databricks, Cloudera, and the modern data platforms at AWS, GCP and Azure)
• Conduct market analysis, competitive landscape assessments, and deep customer/stakeholder interviews to identify key unmet needs and opportunities where EDB is uniquely positioned to win
• Translate high-level strategy into detailed product requirements, user stories, and acceptance criteria for engineering teams
• Work directly with senior engineering teams to direct execution of the vision according to dynamic customer requirements and field feedback
• Own the long-term roadmap, balancing immediate engineering needs, critical maintenance, and forward-looking feature development

Senior Product Manager – Analytics

Artificial Intelligence

• Own solution verification for multi-component products.
• Lead test execution governance: entry/exit criteria, environment readiness, defect triage, and release readiness checkpoints:
• Produce executive-level test reporting:
• Quality/readiness dashboards, KPI definitions, and weekly/monthly summaries;
• Clear narrative: status, trends, top risks, customer impact, mitigations, and asks;
• Drive go/no-go recommendations based on evidence.
• Lead cross-functional defect triage: prioritize by severity, impact, and release risk; ensure timely resolution and verification.
• Release Readiness Certification: Produce a pass/fail readiness signal based on workflow execution results, evidence, and defined acceptance criteria.
• EDB Postgres AI / Hybrid workflows: Verify AI-enabled database experiences end-to-end, including provisioning/configuration flows and hybrid management behaviors.
• Drive automation strategy, knowledge at test automation & tooling: Develop and maintain automation for workflow setup, execution, and reporting (CI-friendly where applicable).

Principal Solutions Verification Engineer, Database & AI

• Benchmark design & execution: Build and maintain repeatable end-to-end benchmarks for database and AI workloads
• Database performance engineering: Evaluate throughput, latency, concurrency, scalability, and stability across OLTP/OLAP and mixed workloads.
• AI performance benchmarking: Measure and optimize performance for GPU/CPU inference pipelines, model serving, and data/feature pipelines; assess cost/performance tradeoffs.
• Tooling & automation: Develop harnesses, scripts, dashboards, and reproducible environments to run benchmarks consistently.
• Analysis & reporting: Produce clear reports, identify bottlenecks, and recommend fixes.
• Cross-functional collaboration: Partner with database engineers, AI engineers, the field teams and product management to define performance goals and acceptance criteria.
• Performance best practices: Establish standards for test hygiene, statistical rigor, hardware normalization, and benchmark governance.

Senior Principal Performance Engineer – Database, AI Benchmarking

Bilingual

• Responsible for all assigned software subscription renewals, which will include partnering with customers and internal team players to ensure timely and accurate execution
• Ownership of contract processes along with customer communications including; co-terming, upselling and related subscription renewals
• Partnering with internal team players on all upsell opportunities
• Enlist the efforts of account executives, sales managers, legal and finance when necessary to accommodate the contract renewal process and ensure customer satisfaction
• Establish and maintain effective, cooperative working relationships with customers
• Communicate and effectively partner with Finance and Sales Management regarding forecasting, pricing, and completing transactions

Renewals Manager, Bilingual in Spanish

Infrastructure Engineer

• Engineer solutions for cloud based systems
• Provision and manage resources using Infrastructure as Code (IaC) methodologies
• Provide in depth technical support for a global, multi-region environment
• Share your knowledge to elevate your teammates’ skill sets
• Provide support for tickets escalated through the Helpdesk
• Bring a security-first approach to everything
• Be an indispensable partner with the Information Security team

IT Infrastructure Engineer II

Full-stack Engineer

• Design and develop PostgreSQL database features and tools.
• Review and refine code contributions from team members to ensure quality.
• Write and maintain regression tests for bug fixes and new features.
• Troubleshoot and resolve database, network, and software-related issues.
• Work within CI/CD pipelines to ensure smooth integration and deployment.

Staff Software Engineer – Greenplum

Technical Account Manager

• EDB is hiring a Senior Technical Account Manager (Sr. TAM) for North America.
• The Sr. TAM is responsible for building and maintaining post-sales relationships with EDB’s largest and most complex customers.
• The Sr. TAM serves as a trusted technical advisor to ensure successful implementations and to ensure that the customers become a positive reference and continue their journey on Postgres technology.
• They are acting in a consultative capacity.
• Close consultative technical engagement with several large customers in North America.
• Establish a close working relationship with their customer’s senior technical leadership team and become their trusted advisor.
• Help EDB customers maximize the value of their Postgres investment.
• Assist EDB customers develop and deploy Postgres proliferation strategies.
• Provide technical leadership for the customer's major Postgres initiatives (This may include solutions consulting, architecture guidance and project management).
• Coordinate the interaction between EDB’s internal team members, such as: Professional Services, Field CTO, CSM, Technical Support, Account Team, and the customer.
• Maintain current functional and technical knowledge of the entire EDB product line.
• Provide clear and constructive product feedback to EDB’s product management teams based on customer requirements.
• Help to document best practices in developing and deploying EDB solutions.
• Function as a front-line technical resource for "best practice" and informal customer questions.
• Manage customer escalations and coordinate with the technical support team for faster resolution.
• Travel is required up to 25% percent of the time.

Senior Technical Account Manager

Staff Software Engineer – Analytics

Sales

• Identify new opportunities for sales expansion thorough market research.
• Drive revenue growth by generating leads and cultivating relationships with potential clients.
• Discuss the terms and conditions of sales contracts with enterprise clients.

Senior Account Executive, Sales

Director

• Manage and grow Professional Services business in the Americas and US Public Sector.
• Responsible for all aspects of the services business, focusing on enhancing customer adoption and driving customer satisfaction.
• Manage a growing team of Consultants, Solution Architects, and Project Managers.
• Work with services partners to create a flexible and cost effective delivery network.
• Contribute to and execute the EDB Customer Experience (CX) strategic vision.
• Partner closely with EDB Sales and drive solutioning of CX services during the presales phase.
• Ensure excellence in Customer delivery, and managing operational success metrics.