Jobs at Seeq

Coordinates virtual and in-person interviews across time zones, manages candidate communications and interview logistics, prepares interviewers, maintains accurate applicant tracking records, arranges travel and accommodations, follows up on feedback, and improves recruiting workflows. The role requires strong organization, communication, discretion, judgment, and comfort working independently with distributed teams.

Serve as a customer-facing technical advisor for industrial analytics software. Design and implement scalable solutions, uncover high-value process-data use cases, guide customer adoption, troubleshoot integrations, mentor partners, and influence product roadmaps. Apply industrial process expertise to translate customer needs into technical solutions, collaborate with product and account teams, and communicate effectively with technical and executive stakeholders.

Leads the global Technical Enablement function, setting strategy, operating models, budgets, roadmaps, and performance goals. Manages managers and distributed teams while developing technical readiness, competency frameworks, release-readiness governance, curricula, labs, certifications, and knowledge systems. Partners with Product, Sales, Customer Success, Professional Services, Marketing, RevOps, and partners to improve field readiness and customer outcomes. Advises senior leaders, drives change and modernization, and owns measurable enablement results.

Supports sales commission calculations, SaaS financial metric tracking, financial reporting, budgeting, forecasting, and variance analysis. Partners with Finance, Accounting, Revenue Operations, and leadership teams to maintain accurate financial data, improve reporting processes, and provide business insights. The role requires hands-on commission experience, strong Excel skills, analytical ability, and familiarity with financial planning and SaaS metrics.

Build sales pipeline through outbound prospecting, targeted email and social campaigns, inbound lead follow-up, and account research. Qualify prospects by understanding business goals, time series data challenges, and technology environments. Set meetings, nurture leads, track activities and CRM data, collaborate with Sales and Marketing, contribute to account plans, and share feedback on messaging and successful tactics.

Build sales pipeline through outbound prospecting, targeted email and social campaigns, inbound lead follow-up, and account research. Qualify prospects by understanding business goals, time series data challenges, and current technology. Schedule meetings, nurture leads with relevant content, track activities and account information in CRM, collaborate with Sales and Marketing, and contribute to messaging, account plans, and monthly targets.

Design and build Seeq’s internal platform, including infrastructure, services, multi-tenant Kubernetes clusters, system interfaces, and secure deployment capabilities. Improve scalability, reliability, software delivery, and infrastructure cost and performance. Lead migrations, integrate security practices, architect distributed systems, collaborate cross-functionally, and mentor engineers while remaining hands-on at Staff or Principal scope.

Perform revenue and commission accounting for a SaaS business, including revenue recognition, month-end close, journal entries, reconciliations, variance analysis, and audit support. Review contracts and Salesforce data, validate commission calculations, prepare audit-ready workpapers, and apply US GAAP and ASC 606. Collaborate with Finance, Revenue Operations, Accounts Payable, HR, and other teams to resolve discrepancies and ensure accurate, timely accounting records.

Leads the creation of Seeq’s IT and enterprise go-to-market capability, including buyer strategy, positioning, offers, messaging, commercialization, campaigns, sales plays, executive engagement, and cross-functional execution. The role develops measurement frameworks, influences product and portfolio decisions, supports enterprise sales, and builds the operating model and team structure needed to scale the function.

Serve as a technical advisor during the sales process for Seeq’s industrial analytics SaaS platform. Responsibilities include customer discovery, tailored demonstrations, solution design, proof-of-value engagements, technical guidance, and collaboration with Account Executives. The role also develops demo content, shares customer feedback with Product and Engineering, documents solutions, and supports industry-specific value propositions for chemicals, mining, and process manufacturing customers across APAC.

Lead complex customer analytics engagements, translating industrial business needs into scalable analytics architectures and solutions. Advise customers, drive product adoption, identify high-value use cases, mentor Analytics Engineers, resolve technical escalations, and influence product roadmaps. Apply expertise in industrial process data and sectors such as power, pharmaceuticals, and semiconductors. Collaborate with customers, partners, product teams, and account teams to deliver measurable business outcomes.

Lead the architecture and development of backend platforms and agentic AI systems. Design scalable distributed services, APIs, runtimes, orchestration, integrations, evaluation systems, and observability capabilities. Drive ambiguous initiatives from concept through production, ensure reliability and safety, collaborate with customers and product teams, and mentor engineers while remaining hands-on with coding and operations.

Lead the architecture, design, and development of complex backend software systems for data-intensive applications. Drive technical direction, implement new technologies, improve code quality, reduce technical debt, and promote testing and continuous delivery. Mentor engineers, conduct code reviews, collaborate cross-functionally with product and design teams, engage with customers, and help deliver maintainable, scalable solutions using backend technologies, databases, distributed computing, and cloud platforms.

Owns customer success for enterprise B2B SaaS accounts, including onboarding, adoption, quarterly reviews, renewals, churn reduction, expansion, and advocacy. Builds strategic relationships with multinational and Fortune 500 stakeholders, develops success and account plans, translates business objectives into priorities, and collaborates with Sales, Product, Training, Support, and Development teams. Provides guidance on industrial data analytics, IT/OT priorities, digital transformation, and customer ROI.

Serve as a customer-facing technical advisor helping industrial organizations adopt Seeq and implement analytics solutions. Responsibilities include solution reviews, implementation guidance, customer mentorship, use-case discovery, adoption planning, troubleshooting, product feedback, functionality testing, and industry-specific consulting. The role requires translating customer needs into scalable analytics solutions, building stakeholder trust, and collaborating with account, product, marketing, and consulting teams.

Executes partner marketing campaigns across email, webinars, events, and co-branded assets. Coordinates timelines, stakeholders, communications, content, partner portal resources, and campaign logistics. Produces reports on engagement, leads, events, spend, and MDF usage, identifies optimization opportunities, and recommends workflow improvements. Collaborates with Partner Managers, Sales, Integrated Marketing, Marketing Operations, agencies, and external partners while using AI to accelerate research, drafting, reporting, and administrative tasks.

Lead APAC Customer Success team of managers and analytics engineers to drive customer value, retention (GRR/NRR), and expansion for Seeq's industrial analytics platform. Build and hire the team, develop success strategies, manage escalations and release planning, analyze customer data to optimize outcomes, and align cross-functionally with Sales, Marketing, Product, and Operations for enterprise manufacturing customers.

Lead end-to-end feature development across frontend and backend for an enterprise data analytics platform. Design, implement, and maintain React UIs, backend services, APIs, databases, and distributed systems. Collaborate with Product, UX, and Engineering, mentor engineers, improve quality through testing/CI, and introduce new technologies including AI-assisted development.

The role involves building AI systems to enhance technical support operations by automating workflows and providing analytical insights to improve customer experience.

Design, build, and maintain full-stack features across frontend (TypeScript/React) and backend (JVM language or Python). Mentor engineers, participate in code reviews and pair-programming, deploy generative AI infrastructure, and ensure quality via unit testing and CI in an agile, remote environment.