Product の求人一覧 - amptalk株式会社

◆Role Overview At amptalk, we employ a compound strategy to deliver multiple products aimed at achieving sales enablement. Until now, quality ownership has been shared across the engineering team, with developers writing automated tests and collaboratively validating releases. As our first dedicated QA hire, you will be responsible for establishing scalable QA processes and improving overall product quality across the organization. In addition to hands-on testing and validation, you will help shape the long-term quality strategy, testing standards, and release processes for our products. This role requires someone who can independently identify quality gaps, propose practical solutions, and collaborate closely with engineering and product teams to improve release confidence while maintaining agility and development speed. ■Technologies Used: Frontend: Nuxt.js, TypeScript, Electron.js Backend: Node.js, TypeScript Cloud: AWS, Google Cloud, Microsoft Azure Database: PostgreSQL, Amazon DynamoDB Automation: Playwright CI/CD: GitHub Actions Note: The above technologies are examples of what we currently use. As the first QA engineer, you will also have the opportunity to influence testing strategy, tooling, and quality processes across the organization. ■Job Description: ・Understand product workflows, business requirements, and release processes to identify quality risks and testing gaps. ・Establish and improve QA processes, including regression testing, exploratory testing, release validation, and bug reporting standards. ・Perform hands-on functional, exploratory, integration, and regression testing across products. ・Collaborate closely with developers and product managers to improve overall product quality and release confidence. ・Review and improve existing Playwright automation coverage together with engineering teams. ・Identify opportunities for automation and help define long-term quality engineering strategy. ・Contribute to improving CI/CD quality gates and release validation workflows. ・Drive quality-focused discussions and help establish scalable engineering quality practices across the organization. ・Take ownership of quality initiatives and proactively identify areas for continuous improvement.

■ About the Role We’re looking for an Sr. Engineering Manager who wants to make a bold impact by leading the squad that will bring amptalk’s next product to life. You’ll guide a team of ~5 engineers, working side by side with a dedicated Tech Lead who owns architecture, while you focus on what truly drives delivery—people, process, and velocity. This is not a maintenance role. It’s a chance to shape a product from the ground up, to cut through ambiguity, and to build a team and culture that can scale. You’ll help fulfill amptalk’s purpose: “Maximize the time people can truly face each other.” By removing friction—both organizational and technical—you’ll unlock speed, clarity, and confidence for the entire team. We’re looking for a leader who thrives in a startup environment: someone who can create clarity when things are messy, align engineering work to business impact, and balance short-term delivery with long-term scalability. Whether you lean more toward being a Guide who invests deeply in people, or an Operator who brings systems and rigor, you’ll find the autonomy and trust here to shape how we build, grow, and succeed together. And while the Tech Lead owns the final say on architecture, you won’t just watch from the sidelines—you’ll still contribute at a coach-level as an IC when it counts. ■ Team You will lead one of existing product teams. ■ Mission Help fulfill amptalk’s purpose “Maximize the time people can truly face each other.” You will accelerate delivery of a brand-new product by removing organizational and technical friction while still contributing code where it counts. ■ Key Responsibilities □ Team Building & Hiring Define hiring needs, run interviews, and onboard new engineers to strengthen the team. □ Performance Management & Career Growth Set individual goals (OKRs/KPIs), run regular 1:1s, give feedback, and support promotions or skill development. □ Culture & Process Foster an engineering culture and continuously improve team processes. □ Cross-Functional Coordination Act as liaison between product management, design, QA, and other departments to unblock and align work. □ IC Contribution Although the Tech Lead retains ultimate responsibility for technical decisions, as an individual contributor the EM must be able to contribute to product development at a coach‐level.

◆Role Overview This role is focused on building AI-powered tools that support sales enablement. As a Software Engineer, you will work on designing and developing product features that leverage AI technologies to improve how sales teams operate and create value for users. This is a high-impact position for engineers who are excited to work at the intersection of product development and applied AI. ◆Technologies Core Stack: • AI/LLM: OpenAI SDK, prompt engineering & optimization • Backend: Node.js, TypeScript, Effect (functional TypeScript) • Cloud: AWS (Lambda, DynamoDB, SQS, SNS, SES, CDK) • Integrations: Google APIs (Gmail, Calendar), Microsoft Graph API, Zoom API • Testing: Vitest • CI/CD: GitHub Actions, pnpm Note: The above technologies reflect our current stack. The team has the autonomy to make technology choices that best serve our AI-native product goals. You will be involved from the architecture and technology selection stage. ◆Key Responsibilities • Design, build, and operate AI-powered systems leveraging large language models (LLMs), including prompt engineering, output parsing, and evaluation pipelines • Architect event-driven workflows (Lambda, webhooks, queues) that enable AI-powered features to operate reliably at scale • Collaborate closely with product, sales, and CS teams to translate business needs into effective AI-driven product features • Own the full lifecycle of AI-powered products — from prototyping and prompt tuning to production deployment and monitoring • Evaluate and integrate emerging AI capabilities (models, APIs, tooling) to continuously improve product and model performance • Contribute to engineering best practices through code reviews, documentation, and knowledge sharing