Jobs at MINDBODY

Manage strategic retention conversations for high-value SaaS accounts at risk of cancellation. Own customer re-engagement from discovery through resolution, collaborate with Sales, Onboarding, CX, and Implementation, and recommend solutions that reinforce product value. Track interactions and outcomes in Salesforce, identify trends, meet retention goals, and navigate complex customer discussions with strong communication, problem-solving, forecasting, and technical understanding.

Provide first-line technical support to English- and Spanish-speaking customers through phone, email, and chat. Troubleshoot basic product issues, educate users on features, document interactions, follow knowledge-management processes, and escalate complex cases. The role requires strong communication, multitasking, empathy, software-learning ability, and completion of a Level 1 Technical Support Certification. Work hours are Monday through Friday, 9:30 a.m. to 6:00 p.m. UK time.

Lead strategy and execution for a unified CRM by integrating messaging automation, AI chatbots, and sales pipeline tools. Direct a product squad from discovery through launch, improve client acquisition and retention, collaborate with go-to-market teams on packaging and pricing, and integrate the CRM across the broader platform ecosystem. The role requires strong growth marketing expertise, hands-on product leadership, and experience scaling products from zero to one.

Drives outbound sales for Mindbody software to single-location SMB prospects through cold calls, field sales, email, text, social media, demonstrations, and consultations. Builds prospect relationships, manages the sales pipeline and forecasts, prepares proposals, researches competitors, achieves quotas, and participates in trade shows. Requires SaaS sales experience, technical aptitude, strong communication, organization, and fluency in English while located and authorized to work in Thailand.

Supports the APAC payments commercial lifecycle by enabling sales, analyzing customer payment pricing, onboarding merchants, managing payment adoption, negotiating rates, training customers, and delivering strategic payments projects. The role requires payments expertise, analytical ability, customer-facing communication, and proficiency with Salesforce, Excel, and PowerPoint. Candidates must be located in and authorized to work in Malaysia.

Supports onboarding, configuration, and technical assistance for Mindbody SaaS clients. Translates product capabilities into practical solutions, identifies workflow gaps, coaches clients on best practices, coordinates timelines and escalations, and tracks progress and lessons learned. The role requires strong client communication, problem-solving, adaptability, and the ability to explain technical concepts to nontechnical audiences.

Build and operate production software for marketing campaigns, lifecycle journeys, re-engagement automation, audience management, and customer segmentation. Develop and test APIs, maintain data synchronization pipelines, improve targeting tools, review code, resolve production issues, and contribute to system reliability. Collaborate with Product, Design, and engineering teams while progressively taking ownership of larger components. The role involves full-stack development using C#/.NET, TypeScript/JavaScript, cloud microservices, relational databases, and observability tools.

Leads development of scalable backend systems and applications for the Mindbody ecosystem. Responsibilities include designing APIs and microservices, owning complex technical projects, collaborating with Product, Design, and QA, promoting engineering best practices, mentoring engineers, conducting code reviews and interviews, and leading incident postmortems. The role requires strong software architecture experience, large-scale SaaS development, cloud and database expertise, and effective cross-functional leadership.

Own the strategy, roadmap, and execution for Mindbody’s multi-location and franchise platform. Responsibilities include designing location hierarchies, data synchronization, permissions inheritance, site navigation, franchise fees, revenue transfers, and transactional workflows. The role modernizes legacy infrastructure, manages migrations and rollout risks, partners with Engineering, Design, Payments, and enterprise stakeholders, and uses customer and performance insights to prioritize investments while supporting enterprise retention.

Own the vision, strategy, and execution of AI-first agentic experiences and enabling platform capabilities for Mindbody’s B2B SaaS platform. Lead agentic workflow development, trust and governance standards, evaluation systems, platform adoption, and cross-functional alignment. Partner with Engineering, Design, Data, Security, and Privacy to deliver reliable, scalable AI products while influencing company-wide strategy and coaching product teams.

Drives outbound SMB sales for Mindbody software through cold calls, field sales, email, text, demonstrations, and social engagement. The role manages the sales pipeline, forecasts revenue, prepares proposals, consults with prospects, closes new business, achieves quotas, tracks competitors, and participates in trade shows. Candidates need SaaS closing experience, technical aptitude, strong communication skills, organization, and familiarity with wellness or web technologies.

Leads product marketing strategy and execution for strategic launches, including positioning, messaging, content, customer communications, sales enablement, research, and performance analysis. Partners cross-functionally with Product, Sales, Customer Success, Pricing, and Enablement teams to drive adoption and measurable outcomes. Translates complex SaaS capabilities into compelling customer narratives and manages multiple launch workstreams.

Lead end-to-end product design for consumer web booking experiences across appointment, class, and checkout flows. Define product vision, improve conversion, create scalable white-label design systems, and ensure responsive, accessible, performant experiences across browsers and devices. Partner with product, engineering, and marketing on strategy and execution while driving design excellence through prototypes, critique, stakeholder communication, and systems leadership.

Leads an engineering team developing SmartDesk, an AI-powered front desk assistant for wellness businesses. Responsibilities include team hiring and development, technical vision and strategy, architecture, product delivery, cross-functional collaboration, resource prioritization, and execution through ambiguity. The manager will turn emerging AI capabilities into reliable, scalable production systems while balancing innovation, quality, and long-term flexibility.

Manage a portfolio of Mindbody customers as their technical account liaison. Educate clients on product features, best practices, workflows, and additional services; identify gaps and develop solutions that support business objectives. Resolve complex inquiries, coordinate escalations, track engagement metrics and milestones, and advocate for customer and product improvements. The role requires strong communication, organization, problem-solving, technical knowledge, cross-functional collaboration, and occasional travel to customer locations.

Serve as a strategic product analytics partner to Product, Design, Engineering, and leadership. Analyze user behavior, adoption, engagement, retention, funnels, and experiments to guide roadmap decisions. Own product telemetry and event instrumentation, define KPIs and north star metrics, build reporting views, and communicate actionable insights. Use AI tools to accelerate analysis and promote data-informed decision-making across the Product organization.

Serve as an embedded analytics partner to Product teams, analyzing user behavior, adoption, engagement, retention, funnels, and experiments. Own product telemetry and event instrumentation, define product metrics and KPIs, build reporting views, and translate data into roadmap recommendations. Collaborate with Product, Design, Engineering, BI, and leadership while using AI to accelerate analysis and promoting data-driven decision-making.

Lead and grow a platform engineering team to build and operate reliable, scalable cloud platforms and developer infrastructure. Hire and develop engineers, drive technical vision, participate in product strategy, and contribute to cross-engineering initiatives. Ensure operational excellence across Kubernetes, IaC, CI/CD, observability, networking, identity, compute, and storage at scale.

Design, build, and operate cloud infrastructure and production Kubernetes platforms using IaC. Deliver self-service tooling, lead cross-team projects, drive incident response and observability, and mentor engineers to improve reliability, security, and developer autonomy.

Design, build, and operate cloud infrastructure and a production Kubernetes platform; deliver IaC and self-service tooling, lead cross-team projects, manage incident response, and improve reliability, security, and developer experience for squads.