Jobs at apexanalytix

Lead presales solution design for enterprise SaaS prospects by conducting discovery, designing demonstrations, quantifying ROI and business value, and scoping implementation projects. Partner with sales, product, professional services, and customer success teams to define requirements, timelines, resources, risks, and success criteria. Provide product expertise, influence roadmap decisions, and support sales enablement. Travel up to 20% may be required.

Owns product strategy, roadmap, pricing, packaging, and execution across supplier onboarding, supplier risk, audit and recovery, API, supplier-facing, cyberrisk, and AI-enabled products. Leads product managers and partners with Engineering, Design, Sales, Customer Success, Marketing, Finance, and executives. Drives customer discovery, product metrics, configuration strategy, commercial model decisions, and delivery accountability across a complex B2B SaaS portfolio.

Leads product strategy, discovery, product operations, and investment allocation across four outcome-funded enterprise SaaS product trios. Advises executives, establishes continuous discovery practices, aligns product, design, and engineering, develops product leaders, and guides AI, data, supplier risk, and procure-to-pay offerings. The role also manages portfolio prioritization, product analytics, customer insight, India product expansion, and transformation toward an empowered product operating model.

Own quality strategy and testing for GenAI, agentic applications, RAG pipelines, and ML models. Develop automated evaluation pipelines, regression suites, golden datasets, and measurable quality criteria for non-deterministic outputs. Validate model and data quality, bias, drift, safety, and adversarial behavior, while monitoring production performance and leading defect analysis. Partner with data science and engineering teams on remediation and release approval.

Leads the independent governance, risk, and compliance function, including ISO 27001, SOC 1/2, control testing, enterprise and third-party risk, regulatory compliance, AI governance, customer assurance, and security awareness. Advises executives and the Board, manages auditors and GRC tooling, oversees risk reporting and resilience requirements, builds the GRC team across the US and India, and transitions Security Operations to Technology Operations.

Leads engineering for supplier and buyer enterprise SaaS journeys, overseeing engineering organizations, delivery, architecture, quality, production ownership, hiring, budgets, and global teams. Partners with product, design, AI, data, and technology leaders to deliver integration-heavy workflows, AI-enabled agents, predictable releases, secure development, and measurable improvements in reliability and engineering performance.

Provides technical support for client software applications, including ticket resolution, troubleshooting network, database, and software issues, configuring systems, managing upgrades, testing releases and interfaces, and supporting hosted environments. Partners with product and R&D teams, communicates with client IT departments, performs SQL-based data mappings and reconciliations, and assists with ERP integrations and installation issues.

Administer and improve mission-critical Microsoft SQL Server databases across development, QA, and production environments. Responsibilities include database implementation, high availability and disaster recovery, monitoring, capacity planning, backup and recovery, performance tuning, security, patching, incident response, automation, and migrations to PostgreSQL or OceanBase. The role also partners with application and infrastructure teams, supports CI/CD practices, documents processes, and mentors junior team members.

Assists with information security, compliance, and audit programs, including SSAE18 and SOC reporting, internal control audits, policy updates, exception remediation, client security questionnaires, phishing assessments, change control, vulnerability management, and security ticket resolution. The role also supports security technology administration, risk assessments, technology projects, compliance training, and protection of client data.

Lead technical implementations of apexportal software for global clients. Responsibilities include presenting technical requirements, configuring workflows and user interfaces, designing ERP integrations, leading integration testing and data reconciliation, troubleshooting network, database, and software issues, and advising leadership. The role requires strong SQL Server and ETL expertise, familiarity with data warehousing, BI tools, secure file transfer, ERP systems, and client-facing implementation experience.

Contacts suppliers by phone and email to obtain current accounts receivable statements, validates and researches supplier contact information, documents communications in databases, sends responses to account review teams, and follows up consistently. The role requires meeting call, export, and recovery targets while managing priorities independently, resolving conflicts constructively, and completing assigned projects accurately and on time.

Leads complex enterprise software sales across EMEA, focusing on procurement, procure-to-pay, and third-party risk solutions. Responsibilities include prospecting, pipeline generation, account strategy, executive engagement, RFP management, consultative discovery, value-based selling, negotiation, forecasting, and closing $1 million-plus annual quotas with Fortune 1000 customers. The role is remote in the UK and requires approximately 35% travel, including travel to London.

Lead technical implementations of apexportal software for global clients. Design workflows and user interfaces, support ERP integrations, test and reconcile data, troubleshoot network, database, and software issues, and provide technical recommendations to leadership. The role requires advanced SQL Server skills, ETL and data warehousing experience, client-facing implementation expertise, and familiarity with ERP, BI, SFTP, and related technologies.

Develop and deploy containerized data applications and pipelines, including Kubernetes deployments, monitoring, optimization, and AI-powered features using LLMs. Collaborate with data scientists on data architectures and tools, troubleshoot pipeline issues, and build Streamlit prototypes. The role also requires staying current with AI, data engineering, and cloud computing practices.

Develop and deploy data analytics, machine learning, and AI applications. Responsibilities include analyzing complex datasets, building models, deploying containerized applications to Kubernetes, integrating LLM-powered features, monitoring and troubleshooting AI systems, and creating Streamlit prototypes. The intern will collaborate with data science teams and stay current with AI, data science, and cloud-computing practices.

Analyze and validate data within an on-premise environment. Responsibilities include source-to-target validation, regression testing, data integrity checks, SQL-based analysis, bug reporting, Linux and Kubernetes troubleshooting, data catalog maintenance, and supplier n-tier mapping. The intern will help ensure data accuracy and reliability while collaborating with engineers and stakeholders.

Design and develop robotic process automation solutions and Python scripts to improve business efficiency. Build Django APIs integrating automation tools with business and legacy systems, and create user-friendly interfaces for business users. Collaborate with cross-functional teams and stakeholders to identify automation opportunities, understand requirements, and incorporate feedback. The role uses UiPath, Docker, Python libraries, and web frameworks to deliver scalable automation solutions.

Supports Learning and Development initiatives by designing, developing, implementing, and evaluating internal and client-facing e-learning courses. Partners with subject matter experts, applies adult learning and instructional design principles, uses authoring tools such as Articulate 360 and iorad, explores generative AI, manages multiple projects, and handles confidential information.

Supports customer success and implementation activities by coordinating project meetings, tracking supplier API data in spreadsheets, communicating with vendors, reviewing client contracts, and assisting with customer-success initiatives. The role requires strong Excel and PowerPoint skills, attention to detail, interpersonal communication, initiative, and enrollment in a business- or economics-related bachelor’s or master’s program.

Cloud infrastructure intern supporting virtualization, Kubernetes, Linux administration, monitoring, automation, incident response, hardware maintenance, and infrastructure documentation. The role includes scripting with Bash and Python, building Prometheus and Grafana dashboards, assisting with server and storage management, and collaborating with DevOps and engineering teams on enterprise infrastructure projects.