Full-Time
Strategic Account Executive
Zencoder
1-10 employees
AI-powered coding agents for software development
No salary listed
Junior, Mid
Remote in USA
- 2+ years of experience as a Sales Representative, Account Executive or similar role in B2B SaaS, ideally selling to technical audiences.
- Comfort speaking with engineering leaders and CTOs about technical solutions. Familiarity with developer tools, software development, or AI is a strong plus.
- Familiarity with trends, tools, and challenges in software development and AI solutions is essential.
- Excitement about being part of a founding team, building processes, and working in a fast-paced startup environment.
- Demonstrated success in achieving or exceeding sales quotas in mid-market or enterprise environments.
- Exceptional verbal and written communication, with the ability to simplify technical concepts for a variety of audiences.
- Highly motivated, proactive, and able to work independently with minimal direction.
- Identify, qualify, and nurture leads within mid-market and enterprises.
- Run consultative, value-driven sales processes, demonstrating Zencoder’s ability to solve technical pain points and deliver ROI.
- Create industry-specific demos that highlight Zencoder’s capabilities for different use cases, addressing unique challenges faced by prospects in various sectors.
- Conduct product demonstrations, showcasing features like repository grokking, agentic pipelines, and blazing-fast code completion.
- Build and manage a robust sales pipeline, ensuring timely follow-ups and a smooth buyer journey.
- Navigate complex sales processes, influencing engineering leaders, technical decision-makers, and procurement teams.
- Collaborate with the product and marketing teams to relay customer feedback and insights for product improvement and market positioning.
- Help define and refine Zencoder’s sales strategy and playbook as we scale.
- Experience creating tailored, impactful demos for different industries and use cases is highly desirable.
Zencoder.ai specializes in creating AI-powered coding agents that improve the software development process for developers and tech companies. Their tools help generate clean and efficient code, perform thorough testing, and automate documentation tasks. Zencoder.ai uses advanced AI technology to provide intelligent code suggestions and automated code repairs, making it easier for developers to write and maintain their software. Unlike many competitors, Zencoder.ai focuses on delivering these AI-driven solutions as a service, with a subscription and enterprise contract model. The company also emphasizes hiring top talent from around the world, allowing employees to work from locations that suit them best, which enhances productivity and comfort.
Company Size
1-10
Company Stage
Acquired
Total Funding
$32M
Headquarters
Campbell, California
Founded
2007
Simplify's Take
What believers are saying
- AI-driven code refactoring tools complement Zencoder's offerings, improving code quality.
- Zencoder's global talent strategy aligns with rising demand for remote team AI tools.
- AI-based security tools offer expansion opportunities in automated security testing.
What critics are saying
- Competition from GitHub Copilot and Cursor pressures Zencoder to innovate continuously.
- Market consolidation may limit opportunities for smaller players like Zencoder.
- Integration challenges from Machinet acquisition could disrupt Zencoder's operations.
What makes Zencoder unique
- Zencoder focuses on AI-powered coding agents for end-to-end software development.
- Zentester automates software testing, reducing QA cycles from days to hours.
- Autonomous Zen Agents operate in CI/CD pipelines, enhancing continuous development.
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Benefits
Company Equity
Flexible Work Hours
Company News
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more. Zencoder, the artificial intelligence coding startup founded by serial entrepreneur Andrew Filev, announced today the public beta launch of Zentester, an AI-powered agent designed to automate end-to-end software testing. This critical but often sluggish step can delay product releases by days or weeks.The new tool represents Zencoder’s latest attempt to distinguish itself in the increasingly crowded AI coding assistant market, where companies are racing to automate not just code generation but entire software development workflows. Unlike existing AI coding tools that focus primarily on writing code, Zentester targets the verification phase — ensuring software works as intended before it reaches customers.“Verification is the missing link in scaling AI-driven development from experimentation to production,” said Filev in an exclusive interview with VentureBeat. The CEO, who previously founded project management company Wrike and sold it to Citrix for $2.25 billion in 2021, added: “Zentester doesn’t just generate tests—it gives developers the confidence to ship by validating that their AI-generated or human-written code does what it’s supposed to do.”The announcement comes as the AI coding market undergoes rapid consolidation
New agent brings verification-first development to engineering teams, eliminating multi-day QA cycles while building a culture of quality ownership. SILICON VALLEY, Calif., June 10, 2025 /PRNewswire/ -- Today, Zencoder announces the public beta of Zentester, an AI-powered agent that transforms end-to-end (E2E) testing from a bottleneck into an accelerator. This breakthrough enables development teams to move from "vibe coding" to production-ready software by accelerating quality assurance and providing instant verification within developer workflows. While AI coding assistants have revolutionized code generation, the gap between writing code and shipping reliable software remains vast. Teams need faster feedback loops, and E2E testing - the final verification that software actually works - continues to be a manual, brittle process that can add days or weeks to release cycles
Zencoder launches autonomous zen agents for CI/CD: from copilot to co.
Autonomous AI agents now run directly in CI/CD pipelines, enabling continuous development by autonomously writing, reviewing, and maintaining codeSILICON VALLEY, Calif., May 19, 2025 /PRNewswire/ -- Today, Zencoder announces the launch of Autonomous Zen Agents for CI/CD, bringing groundbreaking AI automation directly into the software development infrastructure. This new capability enables AI agents to operate independently within CI/CD pipelines, autonomously responding to events, implementing changes, and submitting code through standard pull requests. The launch significantly expands Zencoder's suite of developer tools beyond IDE-based assistance to infrastructure-level automation that works continuously, even when developers are offline.Autonomous Agents: Beyond Reactive AssistanceZencoder launches Autonomous AI coding Agents for automating CI/CD pipeline Post thisZen Agents for CI represent a fundamental shift in AI-assisted development. Unlike IDE-bound coding assistants that require manual prompting, these agents:Run within existing CI infrastructure, triggered by webhooks from issue trackers or code eventsAutonomously resolve issues, implement fixes, improve code quality, generate and run tests, and create documentationSubmit their work through standard pull requests, maintaining full developer oversightOperate entirely within the customer's trusted environments, not Zencoder's servers"The next evolution in AI-powered development isn't just about coding faster - it's about accelerating the whole software development lifecycle, where coding is just one step," said Andrew Filev, CEO and Founder of Zencoder. "By bringing autonomous agents into CI/CD pipelines, we're enabling teams to eliminate routine work and accelerate hand-offs, maintaining momentum 24/7, while keeping humans in control of what ultimately ships."Real-World Applications That Deliver Immediate ValueEarly adopters have already deployed Autonomous Zen Agents across multiple facets of the development lifecycle:Automated Bug Resolution : When issues are tagged in tracking systems, agents analyze root causes, develop fixes, and create pull requests without developer intervention: When issues are tagged in tracking systems, agents analyze root causes, develop fixes, and create pull requests without developer intervention Continuous Code Quality : Agents proactively identify technical debt, deprecated APIs, and opportunities for improvement, then implement solutions: Agents proactively identify technical debt, deprecated APIs, and opportunities for improvement, then implement solutions Enhanced Security Posture : Agents scan for vulnerabilities, and automatically propose patches for security issues: Agents scan for vulnerabilities, and automatically propose patches for security issues Documentation Maintenance: When implementation changes, agents ensure documentation stays current by detecting discrepancies and submitting correctionsOleg Yunin, Head of Engineering at TraceAir, shares his experience: "Zencoder has revolutionized how our team approaches routine development tasks. We're enthusiastic about deploying Zen Agents to help teams understand our complex microservices architecture
Breakthrough Technology Empowers Development Teams to Create, Share, and Leverage Specialized AI Tools That Accelerate Software DeliverySILICON VALLEY, Calif., May 9, 2025 /PRNewswire/ -- Today, Zencoder announces the launch of Zen Agents , delivering two groundbreaking innovations that transform AI-assisted development: a platform enabling teams to create and share custom agents organization-wide, and an open-source marketplace for community-contributed agents. This breakthrough significantly expands Zencoder's ability to empower professional developers to ship better software faster through its deep integration with VS Code, JetBrains, and other industry-standard tools.Custom Agents with Organization-Wide SharingZen Agents solve real development challenges by letting teams:Eliminate redundant coding tasks : Create specialized agents with tailored instructions and toolsets for specific frameworks, codebases, or workflows.: Create specialized agents with tailored instructions and toolsets for specific frameworks, codebases, or workflows. Standardize development practices : Admin-created agents can be deployed to every team member, ensuring consistent practices and standards: Admin-created agents can be deployed to every team member, ensuring consistent practices and standards Reduce Context-Switching Cost: Connect seamlessly to tools through native integrations & MCP to maintain developer focus."Zen Agents create the perfect harmony between human creativity and targeted AI assistance," said Andrew Filev, CEO and Founder of Zencoder. "By enabling teams to craft agents with specific expertise and then deploy them organization-wide, we're helping developers achieve that elusive technical flow state where complex problems seem to solve themselves."Matt Walker, Co-founder and CTO of Simon Data, shares the real-world impact: "Zen Agents unlocked the next level of productivity for our teams. Through MCP integration with our Jira, Confluence, and GitHub tools, our custom agents automate not just coding but project management and documentation tasks as well. By sharing these specialized agents across teams, we've eliminated hours of context-switching and created an organization that benefits from our collective expertise