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We are looking for a hands on, proactive, and impact driven Senior Business Analyst to join our data team. In this role, youll shape how the company measures success and help embed a strong data driven culture across every domain, from business operations to product, finance, and beyond.

This is an opportunity for someone who thrives in dynamic, fast changing environments, loves building from scratch, and is just as comfortable running deep analyses and leading cross functional measurement discussions as they are partnering with data engineering to design scalable data models that empower the entire organization.

In this role you will
Collaborate with cross functional teams to understand business objectives and develop data driven solutions
Lead measurement and metric discussions with diverse stakeholders, translating needs into clear, consistent, and actionable definitions
Conduct deep dive analyses to uncover insights and deliver impactful recommendations
Partner with data engineering to design scalable data models and improve data accessibility
Build clear, intuitive dashboards and reports to track performance and enable self serve analytics
Proactively monitor business metrics and provide timely insights to optimize operations and identify opportunities
Promote a data driven culture by empowering teams to use data confidently in decision making
Mentor teammates and contribute to the growth and maturity of the data function

Are you a versatile MIS Developer experienced in NetSuite ERP development, system integrations, and automation?
Join our Corporate Applications team at HiBob, where youll help scale our core financial systems by building customized NetSuite solutions, integrating cutting-edge iPaaS workflows, and driving process automation across the organization.
Job responsibilities
Designing, developing, and maintaining NetSuite customizations - including SuiteScripts (2.x), SuiteFlows, and advanced PDF templates.
Building integrations between NetSuite and other business systems using Workato, ensuring reliable data flow and automation.
Implementing end-to-end automation across Finance, Procurement, Legal and other teams by leveraging APIs, iPaaS recipes, and custom scripts.
Analyzing and optimizing business processes to identify opportunities for system-driven improvements and efficiency gains.
Developing and deploying AI-based automations and tools to improve process efficiency, anomaly detection, and predictive insights across financial and operational workflows
Contributing to system governance by maintaining data integrity, security, and audit readiness across integrations.

Design, build and maintain our full product suite, including backend services, mobile applications, and web products.
Work with engineers, product managers, and designers to craft world-class experiences and participate in all aspects of the project lifecycle.
Take part in the early stages of the product and help set the groundwork for the future of the engineering team and the company.

We are looking for a CS AI Business Partner to help Customer Success turn AI strategy into practical business impact.
As CS scales, operational complexity around support, escalations, incidents, customer communication, knowledge management, services, and proactive customer management continues to grow. AI creates a major opportunity to improve efficiency, customer experience, visibility, and proactive service - but capturing that value requires dedicated ownership close to the business.
The CS AI Business Partner will consume the company-wide AI strategy, standards, and operating model led by AI Mind, and tailor them to the specific needs of the CS department across People, Processes, Technology, and Performance.
This is a hands-on business partner role. The person will partner with CS leadership, CS Ops, CX Delivery, Support, Services, CXE, AI Mind, and AI RevOps to identify high-impact opportunities, build and operationalize AI-powered workflows, agents,

A senior individual-contributor role reporting to the VP of MIS (CFO Office).




Key Responsibilities
The role spans two connected layers, and youll move fluidly between them:

The platform. Build and maintain the shared integration and automation infrastructure layer that connects our internal systems and exposes them to AI safely - reusable connectors, reliability, security, and observability.

The solutions. Build internal tools, automations, and AI agents on top of it - integrations across enterprise SaaS (Salesforce, NetSuite, Slack, Okta), and LLM-powered workflows for things like triage, provisioning, document processing, and reporting.

The right tool for the job. Low-code/iPaaS, custom code, or a hybrid - whatever delivers value fastest and stays maintainable, with responsible-AI practices throughout.

How Youll Work
Deliver MVP-first and iterate on real usage; favor pragmatic, simplicity-first solutions over over-engineering

Own what you build end to end - design through production support - with documentation others can maintain

Communicate trade-offs clearly, and quantify the value you deliver

Scope
In scope: the internal AI-integration and automation platform and everything built on it; business infrastructure for teams across Finance, HR, GTM, Security, and IT; integration reliability and observability.

Out of scope: physical IT operations (device provisioning, inventory, AV) and endpoint/office IT support.

We're looking for a Senior AI Solutions Builder to join our Product team. In this role, you will design, build, and ship AI-powered solutions that enhance productivity and drive measurable business value across the organization.

You will operate at the intersection of AI, data, pricing and business - owning the end-to-end development of agents, copilots, and workflow automations that directly inform decisions and eliminate manual work.

You are both a builder and an enabler. You ship solutions yourself and raise the AI capability floor for the teams around you. You'll collaborate closely with Product, Engineering, CS, Sales, and builders across the company to deliver outcomes that improve decision velocity, product and operational efficiency, and long-term growth.

You Will
Design and ship AI-powered copilots, agents, and decision-support tools for the Product team, starting with Pricing

Build data pipelines and analytical models for pricing intelligence

Develop autonomous agents that automate recurring Product tasks

Automate manual workflows across product tools so the right action happens when a signal fires

Build LLM-based scoring models that give roadmap and prioritization decisions a data backbone

Enable and upskill product teams through AI playbooks, sessions, and hands-on co-building

Collaborate with builders across Engineering, CS, GTM, and other teams to co-create solutions that scale

Define and track impact: time-to-insight, decision velocity, manual hours eliminated, and business outcomes

We're looking for a seasoned Software Architect with a strong SaaS background to lead architecture across our platform group.

This is a dual-focus role that blends deep domain ownership with company-wide architectural responsibility. You'll be embedded in the Products Platform group, reporting to the group manager and collaborating closely with product managers, team leads, and engineers, while also serving as an active member of the Architecture Team, partnering with architects across other domains.
The Platform Group owns cross-product capabilities consumed by internal teams, external customers, and third-party integrators. This means you'll be challenged with building reusable, well-documented, and easily adoptable solutions that align with industry best practices.
Our teams embrace AI as a core part of how they work. You'll be expected to leverage AI tools at every stage - from research and design to implementation and optimization. At the same time, we believe strongly in genuine human ownership: you'll be expected to develop a thorough understanding of the system, its components, and its codebase.
You'll define and drive the architectural vision for the platform domain, while ensuring it stays aligned with broader technical strategy, standards, and long-term direction.

What You'll Do
Domain Architecture
Own and continuously evolve the architectural vision and technical roadmap for the Platform domain.

Define domain boundaries, core services, and key technical decisions.

Partner with engineering teams and product managers to translate business requirements into robust, scalable, and maintainable technical solutions.

Ensure the system meets the demands of scale, availability, multi-tenancy, security, compliance, and operational excellence.

Keep the system primed for seamless integrations.

Raise the overall technical bar within the group through mentorship and knowledge sharing.

Champion thoughtful, effective AI adoption within the domain.

We are responsible for managing the main product Entities across all products.
Our work ensures secure and scalable access control, supports complex enterprise use cases, and powers internal systems relied upon by every team in the company. We collaborate closely with cross-functional teams including Product, platform, and Security to deliver reliable and high-impact solutions.
If youre passionate about building foundational backend systems that scale globally and support great challenges - this is the team to join!
As Part Of Your Role, You Will:
Contribute to architecting and strategy, design and develop highly-available management systems, with scalable distributed system considerations and APIs
Lead solutions for business application platform layer while keeping in mind robustness, security, and monitoring
Aim to be a focal point for company-wide source of knowledge
Lead by example, mentor peers, and ensure high standards of code quality
You will work with product managers and business partners to frame problems within the business and product context.

We're a small, fast, high-ownership team, and we're looking for a Senior Backend Engineer to make work for agents - both by building new agent-facing infrastructure and by reshaping our existing platform for a world where the caller is a machine. Some of this is greenfield. Much of it is taking APIs, auth, and SDKs and making them ergonomic, legible, and reliable for agents.

Its a problem the whole industry is still figuring out. Youll help define what great API design looks like when the caller is not a human developer, but an agent acting on their behalf.

What you'll do
Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution.
Own our MCP (Model Context Protocol) servers and an agent-first CLI - let coding agents and LLMs discover and invoke reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones.
Harden the agent media path - make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task.
Make agent behavior measurable - partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding.
Work across a polyglot backend - Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform.
Ship, measure, iterate - prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team.

We are responsible for building data pipelines end to end-from raw data ingestion to the creation of actionable datasets-following the bronze, silver, and gold paradigm. This includes business logic, infrastructure, ETLs, optimization, and ongoing maintenance.

The data we deliver drives insights and decision-making across the organization and enhances our product offerings. We leverage technologies such as AWS, Snowflake, Iceberg, Airflow, Spark, and more.

What Youll Do
Lead the translation of business and product requirements into scalable data models, transformations, and pipelines.

Design and own datasets across bronze, silver, and gold layers, including defining grain, aggregations, and data contracts.

Develop and maintain SQL-heavy data pipelines and Airflow DAGs (workflow logic, dependencies, backfills, python, and lots of SQL).

Own data correctness for key business metrics (e.g., ARR), including deep root cause analysis and resolution of data issues.

Define and drive best practices for SQL, data modeling, and pipeline design across the team.

Optimize queries and data models for performance, scalability, and cost efficiency.

Collaborate closely with product managers, analysts, and BI developers to refine requirements and ensure high-quality data delivery.

Develop AI-agents to accelerate data analysis by internal and external users.

Work with complex data inputs (e.g., JSON, schemas, logs) and incorporate them into robust data pipelines.

We are looking for a VP of Global Support to lead worldwide Support organization and help redefine how technical support creates value for customers and the business.

Reporting to the Chief Customer Officer, you will own the strategy, operating model, and performance of a global, follow-the-sun support organization. Beyond delivering operational excellence, you will modernize Support through AI, automation, knowledge management, and data-driven insights-transforming Support from a reactive service into a strategic customer intelligence function.

As a member of the Customer Success leadership team, you will serve as the voice of the customer, partnering closely with Engineering, Product, Customer Success, Sales, Marketing, and Executive Leadership to improve customer outcomes, influence product direction, and enable scalable growth.

This role is ideal for an executive who combines deep technical support expertise with operational excellence, organizational leadership, and a passion for leveraging AI to elevate both customer and employee experiences.




Responsibilities:
Define and execute global support strategy, driving customer satisfaction, retention, and operational excellence.

Lead and scale a high-performing global organization across multiple regions, developing leaders and building a culture of accountability, collaboration, and continuous improvement.

Drive the transformation of Support through AI, automation, self-service, and knowledge management to improve efficiency, customer experience, and scalability.

Establish and optimize operational processes, support engineering practices, escalation management, and service delivery across a follow-the-sun model.

Own support performance through data and metrics, including CSAT, SLA attainment, quality, productivity, deflection, and operational efficiency.

Partner cross-functionally with Engineering, Product, Customer Success, Solutions Engineering, Professional Services, Sales, and Marketing to resolve customer challenges and influence product improvements.

Represent the voice of the customer at the executive level, using customer insights to shape product strategy and business priorities.

Were looking for a FinOps Lead to own the bridge between Finance and Technology. Youll set direction, translate business goals into scalable systems, and drive delivery across Finance, MIS, BI, PMO, and Product/Engineering.
What youll do:
Translate strategy to systems: Turn business needs into crisp, testable requirements, data models, and acceptance criteria.
Lead delivery: Drive projects end-to-end-design, build, UAT, cutover, and post-go-live stabilization. Hold owners to dates and quality.
Level-up financial systems: Partner with MIS/BI to optimize the financial operations stack - improving connectivity, automation, and accuracy across core systems supporting quote-to-cash and record-to-report.
Improve processes: Remove manual work, reduce defects, and increase automation across billing, revenue, collections, and reporting.
Strengthen controls: Design preventative/detective controls, segregation of duties, and audit-ready documentation (SOX/ASC 606).
Change management: Build training, run enablement, and communicate changes that stick across global teams.
Scale for growth: Support M&A integrations, new products/pricing, and geographic expansion with resilient data and process design.
Partnerships and revenue share: Support financial operations for partner-driven revenues and revenue-sharing models, ensuring accuracy and compliance.

we are looking for a Engineering Team Lead - AI Studio Team.
Were looking for a hands-on Engineering Team Lead to join our Studio Team within the Platform Unit.
This role combines people leadership, senior-level engineering across backend and frontend domains, and platform-oriented thinking, and plays a key part in building and scaling Bobs next-generation extensibility and AI-powered experience layer.
As a Team Lead in the Studio team, you will lead a team of engineers while remaining actively involved in designing and implementing scalable systems that enable applications, widgets, workflows, and AI-driven experiences across the platform.
If youre passionate about leading people, shaping technical direction, and staying hands-on while building zero-to-one platform capabilities and AI-native experiences - this role is for you.

we are looking for a Backend Engineer.
As a Backend Engineer on the team, youll have a key role in developing our product and its unique features, working closely with our Product team. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.

we are looking for a Software Architect.
As a SW Architect , you will play a pivotal role in designing scalable software solutions that align with our business objectives and with other departments . You will collaborate with cross-functional teams, cross sites, to make high-level design decisions, ensure the successful delivery of robust and innovative HR technology products.