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Were looking for a Data Engineer to join our company. This is a hands-on, cross-functional role focused on owning and improving our data quality, pipeline reliability, and modeling infrastructure. Youll be responsible for managing and optimizing our DBT models, ETL processes, and data connectors - and will work closely with product, operations, and engineering teams to ensure data is accurate, consistent, and accessible.

You should be someone who thrives on autonomy, takes pride in clean and scalable solutions, and enjoys helping others get the data they need.

In this role you will
Architect our entire DBT project and data warehouse structure completely from scratch-a rare, high-impact opportunity
Lead data modeling efforts: Translating business needs into scalable, reliable data models
Build and monitor data pipelines and connectors from various internal and external systems
Ensure high standards of data quality, consistency, and documentation
Collaborate with engineering, product, and operations teams to understand needs and build data solutions
Proactively detect data issues and work to resolve them
Help define and improve internal data best practices and standards
Support data governance efforts and advocate for trustworthy, well-modeled data
You will be one of the pioneers of a new team - passion & energy is required

Were seeking a Product Designer who excels in complex problem-solving and leads cross-functional collaboration to turn challenging user needs into elegant, impactful, and beautiful solutions. This role combines strategic thinking with hands-on execution to drive innovation and elevate our core products.

In this role you will
Design end-to-end product experiences for our core products-from research and ideation to execution and refinement.
Partner with product managers, engineers, and researchers to solve user needs.
Use user research, usability testing, and data analysis to guide design decisions.
Create wireframes, prototypes, and high-fidelity UI designs that meet user needs and brand goals.
Champion design excellence and usability for intuitive, accessible products.
Help build and evolve our design system for consistency across touch points.
Provide mentorship to junior designers while nurturing a collaborative, growth-focused culture.

Product Marketing is the connective layer between Product, Sales, and Customer Success-we own how Empathy goes to market. As we scale across enterprise partnerships, new markets, and product areas, were looking for a Product Marketing Manager to take our go-to-market work from brief to finished asset, with speed and quality.

This is a hands-on, build role. Youll write the decks, develop the messaging, and produce the materials our field teams rely on to win deals and support partners, working in close partnership with Sales.

In this role you will
Build sales and partner-facing collateral: Develop the decks, one-pagers, messaging frameworks, and launch materials Sales and Customer Success reach for-assets designed to get used in the field, not just delivered.
Translate product into buyer language: Turn complex product capabilities into clear, customer-centric narratives that resonate across Empathys B2B audiences-insurers, financial institutions, and employers.
Drive product and feature launches: Own launch materials end-to-end, coordinating across Product, Design, and the broader marketing team to ship on time and on message.
Enable the field: Equip Sales and CS with positioning, talk tracks, and training materials that support revenue targets-and refine them based on how they land in real deals.
Partner cross-functionally: Work naturally with Sales, CS, Product, and Design as collaborative partners-low friction, high follow-through.
Stay close to the market: Gather feedback from the field, partners, and competitive signals to sharpen positioning and flag early whats working and what isnt.

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,

We are looking for a detail-oriented and analytical FP&A Analyst - Reporting & Forecasting to join our Corporate FP&A team.
In this role, you will support company-wide planning, forecasting, reporting, and budget consolidation processes. You will be responsible for maintaining financial models, consolidating data from multiple sources, supporting forecast cycles, and helping ensure the accuracy and consistency of financial information across the organization.

You will report to the VP of Finance, FP&A and work closely with a Senior FP&A Manager and peers across the CFO organization, including Business Analysis, Billing, Collections, FinOps, Procurement and Accounting. You will also partner with Sales Operations, and business stakeholders across the company.

What Youll Do
Own and maintain forecasting models for cash flow, operating expenses, working capital, and company-wide planning
Build and maintain cash inflow and cash outflow forecasts, including collections, operating expenses, and vendor payments
Collect, reconcile, and consolidate Cash inflow related data from multiple systems and stakeholders into a single source of truth for planning and forecasting purposes.
Support monthly, quarterly, annual, and long-range forecasting cycles
Consolidate actuals, budgets, and forecast assumptions into scalable financial models
Monitor key working capital metrics, including collection trends and DSO performance
Consolidate operating expense and headcount plans into company-wide forecasts
Partner with the Departmental Ops team , Procurement and Corporate FP&A during the Annual Operating Plan (AOP) process, to ensure budget submissions are complete, accurate, and aligned with planning assumptions.
Maintain Budget vs. Actual (BvA) and Forecast vs. Actual (FvA) reporting and support variance analysis
Maintain and improve forecasting processes, planning models, and reporting capabilities
Own the administration of Planful (CPM) Actual reporting and forecasting models.
Partner with Accounting, FinOps, Sales Operations, Procurement, and business stakeholders to ensure planning assumptions remain accurate and up to date

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 are seeking an Implementation Manager with HR experience to guide clients through the onboarding process onto our SaaS-based human resource platform.
The ideal candidate will facilitate smooth implementations, ensuring clients effectively transition and maximize the value of our offerings. Strong communication and project management skills are essential for this role.
What will you do?
You will lead implementation projects, align client needs with the platform capabilities, drive client value and work directly with clients to ensure deliverables fall within the applicable scope and timelines
Be the main point of contact for our clients from point of sale through to deployment
Gather system requirements and business objectives from customers
Assess how best to configure the platform and provide guidance on best practices and successful deployment
Identify and analyze project risks & dependencies on an ongoing basis
Analyze operational data and use it to constantly scale and find efficiencies in internal workstreams
Work cross-functionally with our Sales, CS Engineers, Product & Account teams
Maintain detailed project plans to communicate project status both internally & externally
Perform risk management to minimize project risks
Report and escalate to management as needed when project time deadlines become at-risk

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.