Manage field sales from qualified leads through closing, with account planning, needs discovery, executive relationships, presales coordination, and sales-process improvement.
Loglass is a Japanese B2B software company whose cloud products help companies collect, consolidate and analyze management data. Its core Loglass Management product covers budgets, forecasts, actuals and KPIs, while related tools support workforce planning, capital expenditure, IT investment and investor-relations workflows.
Customers are corporations and their management-planning, finance and IR teams. Loglass earns revenue through contracted usage fees for its software. In May 2026, it added conversational AI analysis that can trace budget-versus-actual drivers and generate reports, charts and summaries.
- Salary range
- ¥5M – ¥20M
- Median
- ¥7M – ¥15M
- Visa-sponsorship signal
- 8%
- Remote or hybrid
- 90%
- Most requested
- Generative AI / LLM 21
- AWS 14
- JavaScript 14
- PostgreSQL 14
- TypeScript 14
- Next.js 13
- Native Japanese 1
- Japanese posting, level unstated 49
- Common areas
- Frontend engineering 13
- Backend engineering 12
- Sales 10
- Business development 8
Measured from the 50 listings Ranked has live for Loglass. Japanese level, visa signal and skills are AI-graded from each posting and can be wrong — confirm against the employer's original posting before applying.
50
open positions at Loglass
3
Lead IR consulting delivery as Director, managing projects, quality, risks and team development while building AI-enabled services and go-to-market strategy. Remote work is available.
Develop and improve Loglass Management through customer-informed design, server-side features, performance optimization, refactoring, testing, and development-process automation.
Build an LLM-based sales product, implementing AI features, architecture, integrations, and quality improvements with a cross-functional team. Remote work is available.
Manage a cloud management SaaS through user research, roadmap planning, feature development, and coordination with engineers and designers. Home working is available.
Lead server-side development and technical decisions for Loglass SaaS, including rearchitecture, performance improvements, workflow automation, and project leadership. Telework is included.
Lead new B2B SaaS product launches through customer discovery, MVP validation, KPI and roadmap planning, and early market rollout with cross-functional teams.
Design and operate shared platform services across products, including authentication, authorization, integrations, governance, scalability, and reliability; home working is available.
Leads people and technology management for software teams building B2B SaaS products. Starts as an engineer, then expands management responsibilities; remote work is available.
Lead backend-centered development of a next-generation management SaaS through architecture, domain modeling, performance improvements, refactoring, testing, automation, and team process improvement.
Develop an LLM- and AI-agent-powered IR product, from customer discovery and specifications through architecture and Go/React/Next.js implementation, with remote work available.
Design and implement AI, LLM, RAG, and data solutions for enterprise management challenges, from customer discovery and PoC through evaluation, operations, and product improvement.
Lead discovery and product strategy for a new AI investor-relations product, defining UX, roadmaps and requirements and driving validation and delivery with design and engineering teams.
Lead QA strategy for an AI-enabled SaaS platform, designing quality processes, governance, measurement, and test automation across the development organization. Remote work is available.
Develop and improve Loglass Workforce Planning, leading feature delivery, refactoring and development-process improvements with customers and product teams. Home working is available.
Lead development of an AI-native SaaS platform by designing and implementing LLM applications and AI Agents, strengthening reliability and security, and guiding AI projects and teams.
Lead server-side development for Loglass products through customer design, feature delivery, refactoring, automation, technical decisions, and team enablement. Remote work is available.
Build AI products for business workflows, from customer discovery and prototyping through implementation, validation, and improvement, using LLMs and AI agents. Remote work is available.
Lead sales strategy, KPI management, team development, new-customer acquisition, and sales enablement while contributing as a player and building processes for a growing field-sales organization.
Lead and build a sales organization for the Loglass AI IR new business, managing enterprise deals, pipeline and forecasting while developing repeatable methods, people and go-to-market plans.
Lead Loglass’s marketing function by setting 1–3-year strategy, promotion, lead nurturing and branding plans, managing 10–20 employees, designing KPIs and reporting to executives.
Lead go-to-market execution for Loglass AI IR through account executive or customer success work. Build repeatable sales and CS processes and connect customer feedback to product strategy.
Lead ProductHR as an HRBP partner to executives, driving engineer, PdM and designer hiring, HR team management, organizational development, and evaluation and compensation programs.
Lead revenue planning and enablement for a B2B SaaS business, designing onboarding, sales practices, KPI cycles, organizational priorities, and execution plans with cross-functional teams.
Design AI-agent use cases for corporate planning and FP&A, guide Loglass implementations, and develop Skills, demos, and product improvements. Work from home is available.
Build and establish BizOps operations, including data monitoring, workflows, and Salesforce requirements. Redesign processes as products and teams grow, and guide the BizOps team.
Lead go-to-market and enterprise sales for Loglass AI IR, from uncovering executive customer needs and closing deals to building repeatable sales processes and guiding product improvements.
Lead M&A and capital alliances from sourcing through execution and PMI, including valuation, due diligence, negotiations, integration planning, and post-acquisition growth in a SaaS business.
Build and run customer success for the new Loglass AI IR business, covering onboarding, adoption, health-score-based support, communities, product feedback, and repeatable playbooks.
Build the first product security function for a cloud management platform by defining policies, supporting secure development, strengthening DevSecOps, and preparing incident-response processes.
Lead QA for an AI-native EPM SaaS, automating tests, evaluating AI features, and improving release quality. Tokyo-based, with work-from-home available.
Lead QA for an AI-native enterprise management SaaS, covering quality strategy, automated testing, AI-feature evaluation, and process improvement with product and engineering teams.
Manage SDR and BDR teams, leading hiring, development and enablement. Set KPIs and ABM strategy, improve event conversion, and work with marketing to maximize SQLs.
Manage enterprise accounts in Customer Success, supporting implementation, improving management processes, and proposing broader use of Loglass products. Work from home is available.
Build an enterprise inside-sales team for Loglass AI IR by designing account-based outreach, testing channels, coaching members, and creating qualified opportunities.
AI-native UI/UX for Loglass’s management SaaS: model complex customer domains, prototype experiences, and create usable interfaces with product managers and engineers.
Design prototypes and UI for new features in a cloud management product, collaborating with product managers, engineers and customer success to solve customer problems and shape the product roadmap.
Lead customers through proposals, implementation, and adoption of the Loglass cloud management system, while improving customer operations, relaying product feedback, and supporting project delivery.
Build and improve RAG, LLM applications, AI agents, and data pipelines for enterprise customers. Prototype, test, tune prompts and embeddings, and work with FDEs on usable solutions.
Lead a new HR Ops function by standardizing recruitment operations, managing the team, building HR metrics, improving candidate experience, and automating HR work with generative AI.
Lead accounting operations for a SaaS company, covering financial closing, payments, tax filings, audit coordination, management reporting, and team improvement.
Improves cross-functional Salesforce operations through CRM configuration, tool integration, KPI tracking, data management, and user adoption. Remote work is available.
Develops partner channels for Loglass’s management SaaS, building alliances, generating customer referrals, creating co-selling programs, and connecting qualified opportunities with sales.
Lead recruiting for Loglass’s product organization, covering engineers, product managers, and designers. Build hiring strategy, sourcing, selection, and scalable recruiting operations.
Plan and execute product, digital, event, and content marketing for a cloud management SaaS, covering market analysis, messaging, campaigns, events, and project management.
Plan and execute event, content, and community marketing for Loglass’s cloud management products, including conferences, customer case studies, white papers, videos, and customer initiatives.
Build outbound call and email scenarios, analyze contact data, improve lead-generation initiatives, and coordinate with account executives, field sales, and related teams for enterprise BDR campaigns.
Plan and manage large conferences and new online or offline events, create customer-case and white-paper content, and run community initiatives that support product adoption and business growth.
Develop and execute business strategy, design tactics, analyze KGI/KPI performance, improve operations, manage business meetings, and lead cross-functional projects across sales, marketing, and customer success.
Manage and improve the company’s internal IT foundation, including Google Workspace and other SaaS, security architecture, workflow automation, help desk, PC setup, account management, and IT asset controls.