Full-Time
Account Executive
EDB
1,001-5,000 employees
Enterprise database management and PostgreSQL solutions
No salary listed
Remote in USA
Remote
 Sales & Account Management (1) |
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- At least 5 years of enterprise sales experience, including strategic business-to-business hunting, managing long sales cycles, and closing complex deals.
- Advanced expertise in lead generation, cold outreach, and outbound prospecting techniques for penetrating target accounts.
- Ability to analyze prospect pain points and construct customized, value-driven pitches for enterprise stakeholders.
- Demonstrated history of quota attainment and year-over-year revenue expansion.
- Strong command of contract terms, risk mitigation, and commercial negotiations in partnership with internal legal teams.
- Conduct targeted market research to identify high-value enterprise opportunities and build and execute strategic territory plans that drive net-new revenue.
- Tailor sales strategies and pitches for C-suite decision-makers across enterprise-level prospects.
- Lead end-to-end sales cycles, from proactive prospecting through deal closure, while meeting and exceeding performance quotas.
- Track and analyze pipeline metrics to maintain accurate revenue forecasts and support steady, repeatable growth.
- Drive contract discussions with enterprise clients, partner with legal teams to secure favorable terms, and close complex agreements.
EDB builds database software and services around PostgreSQL. It offers EDB Postgres Advanced Server, an enterprise-grade extension of PostgreSQL that adds security, performance monitoring, backups, recovery, and tools for migration and management. The company provides cloud deployments and professional services, including migration, implementation, and ongoing support, plus training and certification programs. Unlike broader database vendors, EDB concentrates on PostgreSQL and provides compatibility features (including Oracle-to-Postgres migration) to help enterprises run large, scalable workloads with lower total cost of ownership. The goal is to help organizations reduce costs and risk associated with proprietary databases while ensuring reliability, security, and scalability for mission-critical data systems.
Company Size
1,001-5,000
Company Stage
Early VC
Total Funding
$65.9M
Headquarters
Bedford, Texas
Founded
2004
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Simplify's Take
What believers are saying
- June 23, 2026 launch added EDB PG AI for ClickHouse and zero-ETL analytics.
- August 20, 2026 WarehousePG disaster recovery cut restore points to minutes for bank workloads.
- PGD 6.4 on May 29, 2026 added quorum commit, strengthening Tier 1 migration wins.
What critics are saying
- EDB sued a former vice president in June 2026 over downloads and a Couchbase move.
- Oracle, Snowflake, and hyperscalers bundle AI analytics faster, squeezing EDB pricing by 2027.
- If PostgreSQL commoditizes agentic features, EDB's proprietary layer becomes replaceable.
What makes EDB unique
- EDB unifies transactional, analytical, and AI workloads on Postgres, not separate stacks.
- EDB PG AI keeps deployments on-prem, hybrid, or multi-cloud for sovereignty control.
- June 2026 releases add agentic database, converged analytics, and governance around Postgres.
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↑ 2%EDB brings postgres-proven Disaster Recovery to petabyte-scale WarehousePG where downtime is not possible. For banks and regulated enterprises running analytics around the clock, a warehouse recovery measured in days is a business risk. EDB Postgres(R) AI for WarehousePG brings it down to minutes and lets enterprises keep control over where that data runs. Date -2026-08-20 WILMINGTON, DE - AUGUST 20, 2026 - Today, EnterpriseDB (EDB), the leading sovereign data and AI company, announced the general availability of Disaster Recovery for WarehousePG, adding mission-critical capabilities to the analytical foundation of EDB Postgres AI (EDB PG AI). Customers now have a supported path to protect petabyte-scale data and restore warehouse operations across infrastructure boundaries. Enterprises can keep a recovery environment current wherever they choose - on-premises, in the cloud, or in a hybrid deployment - and decide when to bring it online. A warehouse outage is no longer a reporting problem. It is an operational event. AI agents, analysts, and business teams increasingly depend on live analytical data to make decisions and keep critical services moving. Yet at petabyte scale, a nightly backup can leave hours of data exposed, while a logical restore can take days and compete with production workloads along the way. For enterprises in regulated and mission-critical environments, that gap puts recovery objectives, customer commitments, and data sovereignty at risk. WarehousePG now extends EDB PG AI's converged analytics capabilities with a critical layer of resilience for enterprise-scale analytical workloads. Organizations can keep a separate analytical environment ready for recovery while retaining control over where the standby runs, how frequently restore points are created, and when the standby is promoted. "At petabyte scale, a recovery process that takes days is not a recovery plan, it is unhedged business risk. WarehousePG brings the full distributed cluster back to a consistent point in time without forcing customers to trade production performance for protection. That moves disaster recovery from a best-effort exercise to a capability teams can test, measure, and trust," said Max Romanenko, chief engineering officer, EDB. From two days to 16 minutes In one banking deployment supporting hundreds of terabytes of business-critical data and a 24x7 analytical pipeline, the existing logical backup and recovery process had outgrown the warehouse. Full backups took nearly two days, restores took just as long, and backup jobs ran through most of the day. With Disaster Recovery for WarehousePG, the customer established hourly restore points on cost-optimized recovery infrastructure, without changing the application architecture. * Approximately 180x faster recovery: Restore-point replay averaged 16 minutes, compared with a process that previously required nearly two days. * Four-times faster full backups: Full backup time fell from 44 hours to approximately 11 hours. * Nearly 99% less query lock time: Physical backup sharply reduced the lock contention imposed by the previous logical backup process. * No application redesign: The customer achieved the new recovery model without changes to the application architecture above the warehouse. Results reflect a specific customer deployment; actual outcomes vary by environment, workload, and configuration. Postgres-proven recovery, engineered for MPP scale Because WarehousePG runs on Postgres, disaster recovery is familiar to Postgres teams and is now applied across a full standby cluster for warehouse scale. The coordinator and every primary segment recover together to a single point in time, so the standby cluster comes up as one consistent warehouse. EDB has built and supported mission-critical Postgres disaster recovery for years. Disaster Recovery for WarehousePG brings that expertise to petabyte-scale analytics, using open source Barman and the Postgres write-ahead log (WAL) to coordinate recovery across the distributed cluster, giving enterprises a faster and supported path back to operations without adding a separate proprietary stack. WarehousePG's built-in high availability uses segment mirrors and a standby coordinator to protect against component failures within the cluster. Disaster Recovery for WarehousePG addresses the next level of risk - the loss of an entire site - by enabling the full cluster to be recovered in a separate environment. WarehousePG Enterprise Manager already gives operations teams a unified place to manage cluster health, query diagnostics, and resource utilization. With the impending September version update, Disaster Recovery configuration will be included as well, unlocking new value for customers: * Recovery aligned to business objectives: Teams can set restore-point frequency, continuously archive WAL, and validate replay performance against required recovery point and recovery time objectives. * Sovereign control through an outage: Organizations choose the region, jurisdiction, and infrastructure where the recovery environment runs, while retaining authority over when it is promoted. * A right-sized standby, without double-loading data: The recovery cluster can use a smaller footprint or cost-optimized cloud compute, avoiding the need to run every ingestion job twice into a duplicate production-scale warehouse. * Integrated operations and enterprise support: Disaster Recovery is delivered within the supported EDB PG AI for WarehousePG stack, reducing add-on complexity and giving teams access to EDB's Postgres and distributed warehouse expertise. Beyond Disaster Recovery, the same foundation gives enterprises a controlled path to migrate analytical workloads to the cloud and test peak-volume scenarios without disrupting production. Point-in-time restores can also offload intensive month- or quarter-end reporting, allowing teams to release the compute when the work is complete. Open, sovereign analytics for the agentic enterprise WarehousePG is an open source, Postgres-based MPP data warehouse designed for petabyte-scale analytics and high-concurrency workloads. EDB PG AI adds the capabilities required to operate that open foundation in production, including unified observability, built-in high availability, real-time ingestion, lakehouse interoperability, in-database AI and machine learning, vector search, and 24x7 enterprise support. It can run on-premises, in a private VPC, or across clouds, giving enterprises control over data residency, infrastructure, and long-term economics. Disaster Recovery adds another mission-critical control to that foundation: a supported path to protect analytical data and restore operations across infrastructure boundaries that also preserves the deployment flexibility and sovereignty that enterprises chose EDB PG AI to achieve. Availability Disaster Recovery for WarehousePG is generally available on EDB Postgres AI today. For more information, visit www.enterprisedb.com/products/warehousepg and read the announcement blog. EDB Postgres(R) AI (EDB PG AI) is the sovereign data and AI platform for the agentic enterprise. Built on Postgres, the world's leading open source database, EDB PG AI unifies transactional, analytical, and AI workloads in a single architecture, eliminating the data movement, ETL, and operational fragmentation that slow enterprises down. With governance enforced at the data layer and the flexibility to deploy on-premises, in hybrid environments, or across clouds, enterprises operationalize their data and AI on infrastructure they own and control, reaching production-ready sovereign AI in weeks, not months. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global open source community. To learn more, visit www.enterprisedb.com. Media Contact Anwar Ahmad 347-206-5651 EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners.
TechnoBind wins "VAD with the Highest Business Revenue - 2025" at EDB Partner Summit 2026. Bengaluru, INDIA - TechnoBind has been recognized as the "VAD with the Highest Business Revenue - 2025" at the EDB Partner Summit 2026, held recently by EDB (EnterpriseDB), the company behind Postgres AI. The recognition reflects TechnoBind's growing footprint in the open-source and enterprise database distribution space, as Indian enterprises increasingly look to Postgres-based platforms for data management and AI-ready infrastructure, alongside global proprietary alternatives. "This recognition reinforces TechnoBind's leadership in accelerating enterprise database modernization across India and reflects the trust our partners and customers place in our data management expertise. As organizations increasingly adopt AI-ready, PostgreSQL - based data platforms, we remain committed to strengthening our database practice, enabling our channel ecosystem, and helping businesses build secure, scalable, and future-ready data foundations", said Harikrishna Prabhu, COO at TechnoBind. National, 17th: Delta Electronics India, led by Benjamin Lin, President, and Niranjan Nayak, Managing Director, met with Hon'ble Chief Minister of... Mumbai, India - INVT Electric India will showcase its comprehensive portfolio of industrial automation and energy-efficient drive solutions at Automation Expo... The Governments of Laos and Myanmar have signed a Joint Development Agreement (JDA) to undertake a feasibility study for a... AMPIN Energy Transition has signed a power purchase agreement (PPA) under Solar Energy Corporation of India Limited (SECI) Tranche VII... Mumbai: LAPP India is set to showcase its comprehensive portfolio of Industrial Communication Solutions at Automation Expo 2026, India's premier automation...
Small business news releases. EDB named a Leader in Multimodel Data Platforms evaluation. Independent research recognizes EDB Postgres(R) AI for extending transactional workloads into analytical and AI processing on a unified platform. WILMINGTON, Del., June 30, 2026 /PRNewswire/ - EnterpriseDB (EDB), the leading sovereign data and AI company, today announced that it has been named a Leader in The Forrester Wave(TM): Multimodel Data Platforms, Q2 2026. EDB Postgres AI (EDB PG AI) was evaluated as a Leader across both the strategy and current offering categories and received the highest score possible in the Vision, Innovation, Roadmap, and Partner Ecosystem criteria. Enterprises are racing to unify fragmented, single-purpose data engines into one platform that can serve transactional, analytical, and AI workloads for the agentic era. EDB PG AI is built to meet that shift, extending transactional workloads into analytical and AI processing on a unified, open source foundation with capabilities for interoperability, sovereign deployments, and agentic AI use cases. According to the report, EDB's robust vision is to create the leading Postgres MMDP for the agentic era, with innovation anchored in deep R&D spend focused on comprehensive inferencing capabilities, analytics accelerators, and AI-driven automation. The report also notes that EDB's superior roadmap addresses the multimodel shift to agentic AI, spanning GPU-accelerated workloads, semantic intelligence, governance, and knowledge graph. In its evaluation, Forrester states, "EDB is a strong choice for enterprises that need open source flexibility and deployment options to manage mixed translytical and AI workload demands." "This recognition reflects what we've been building toward: a platform where intelligence moves to the data, not the other way around," said Kevin Dallas, CEO of EDB. "In the agentic era, AI runs on the data layer - governed, sovereign, and enforced at the source. We believe being named a Leader validates that the future of enterprise AI is open, sovereign, and built on Postgres." The recognition follows EDB's recent launch of agentic database and converged analytics capabilities, now generally available as part of EDB PG AI, with governance available in preview. Built on open Postgres and open table formats, EDB PG AI runs on premises, in hybrid environments, or across clouds and is supported by a global partner ecosystem that includes Dell, IBM, NVIDIA, Red Hat, and Supermicro. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. The report is part of a broader collection of Forrester resources including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester's objectivity here. EDB Postgres(R) AI (EDB PG AI) is the sovereign data and AI platform for the agentic enterprise. Built on Postgres, the world's leading open source database, EDB PG AI unifies transactional, analytical, and AI workloads in a single architecture, eliminating the data movement, ETL, and operational fragmentation that slow enterprises down. With governance enforced at the data layer and the flexibility to deploy on premises, in hybrid environments, or across clouds, enterprises operationalize their data and AI on infrastructure they own and control - reaching production-ready sovereign AI in weeks, not months. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global open source community. To learn more, visit www.enterprisedb.com. EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners. SOURCE EnterpriseDB
EDB named a Leader in Multimodel Data Platforms evaluation. Independent research recognizes EDB Postgres(R) AI for extending transactional workloads into analytical and AI processing on a unified platform. Date -2026-06-30 Location - WILMINGTON, Del. - EnterpriseDB (EDB), the leading sovereign data and AI company, today announced that it has been named a Leader in The Forrester Wave(TM): Multimodel Data Platforms, Q2 2026. EDB Postgres AI (EDB PG AI) was evaluated as a Leader across both the strategy and current offering categories and received the highest score possible in the Vision, Innovation, Roadmap, and Partner Ecosystem criteria. Enterprises are racing to unify fragmented, single-purpose data engines into one platform that can serve transactional, analytical, and AI workloads for the agentic era. EDB PG AI is built to meet that shift, extending transactional workloads into analytical and AI processing on a unified, open source foundation with capabilities for interoperability, sovereign deployments, and agentic AI use cases. According to the report, EDB's robust vision is to create the leading Postgres MMDP for the agentic era, with innovation anchored in deep R&D spend focused on comprehensive inferencing capabilities, analytics accelerators, and AI-driven automation. The report also notes that EDB's superior roadmap addresses the multimodel shift to agentic AI, spanning GPU-accelerated workloads, semantic intelligence, governance, and knowledge graph. In its evaluation, Forrester states, "EDB is a strong choice for enterprises that need open source flexibility and deployment options to manage mixed translytical and AI workload demands." "This recognition reflects what we've been building toward: a platform where intelligence moves to the data, not the other way around," said Kevin Dallas, CEO of EDB. "In the agentic era, AI runs on the data layer - governed, sovereign, and enforced at the source. We believe being named a Leader validates that the future of enterprise AI is open, sovereign, and built on Postgres." The recognition follows EDB's recent launch of agentic database and converged analytics capabilities, now generally available as part of EDB PG AI, with governance available in preview. Built on open Postgres and open table formats, EDB PG AI runs on premises, in hybrid environments, or across clouds and is supported by a global partner ecosystem that includes Dell, IBM, NVIDIA, Red Hat, and Supermicro. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. The report is part of a broader collection of Forrester resources including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester's objectivity here. EDB Postgres(R) AI (EDB PG AI) is the sovereign data and AI platform for the agentic enterprise. Built on Postgres, the world's leading open source database, EDB PG AI unifies transactional, analytical, and AI workloads in a single architecture, eliminating the data movement, ETL, and operational fragmentation that slow enterprises down. With governance enforced at the data layer and the flexibility to deploy on premises, in hybrid environments, or across clouds, enterprises operationalize their data and AI on infrastructure they own and control - reaching production-ready sovereign AI in weeks, not months. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global open source community. To learn more, visit www.enterprisedb.com. EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners.
EnterpriseDB (EDB) has launched new agentic database and converged analytics capabilities for EDB Postgres AI, designed to bring AI intelligence directly to enterprise data. The platform unifies relational, analytical, vector and agentic workloads on a single Postgres foundation that enterprises own and control. The agentic database capability continuously monitors over 200 operational metrics and self-optimises, making database tuning up to 10 times faster whilst accelerating application performance by up to 8 times. The system provides autonomous operations whilst maintaining enterprise control through policy-based approval workflows. EDB's converged analytics architecture delivers up to 58% lower total cost of ownership compared with legacy warehouses, with sub-second query performance and petabyte-scale warehousing capabilities. The platform supports on-premises, hybrid and cloud deployments, with customers including Kyobo Book Centre and NTT East.