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HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we’ve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over 4,500 midsize and multinational companies and over 1 million users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
About the role (overview)As part of HiBob’s Business Technologies & AI organization, you’ll build and ship AI agents and workflows that drive measurable impact on our internal core business processes—and then own their performance over time.
Using our AI Gateway, Custom GPTs, and low-code/no-code tooling, you’ll orchestrate prebuilt actions, design robust prompts, and wire data flows across systems like Salesforce, Snowflake, Gong, ERP, and internal tools—without writing low-level API code.
You will also treat AI agents like a real workforce: defining how they are onboarded, measured, evaluated, and improved. You’ll build the operating model, metrics, and evaluation solutions that keep our AI ecosystem powerful, safe, and cost-effective.
2+ years in roles such as, Business Application Developer, Business Analyst, Product Operations, RevOps, AI/ML Ops, or Digital Transformation in a global SaaS / data-heavy company.
Proven experience designing and delivering AI-driven workflows or agents in a SaaS environment, partnering closely with business stakeholders.
Low-code/no-code build skills and strong prompt engineering fundamentals (tool/function calling, structured/JSON outputs, context windows, grounding).
Hands-on experience with AI Gateway–style action catalogs (configure inputs/outputs, field mapping, chaining, retries, error handling), and familiarity with platforms like Salesforce, Snowflake, Gong, ERP, ticketing, HRIS, etc.
Solid SQL skills for analysis, shaping data for agents, defining evaluation sets, and measuring workflow performance (no need to be a full data engineer).
Familiarity with “Context Engineering” using APIs, MCPs, retrieval, and data contracts.
Understanding of hallucination-mitigation strategies (retrieval grounding, instruction hierarchy, eval sets, guardrails, refusals).
Systems thinker who can map complex ecosystems (agents, tools, data sources, owners) and make them understandable.
High data literacy: comfortable with usage data exploration, defining metrics, and building dashboards with Data/BI teams.
Strong stakeholder management: able to work with executives on value, Security/IT on controls, Data/Engineering on telemetry/models, and business teams on workflows.
Outcome-driven: bias to measurable impact (time saved, error reduction, revenue influence) over vanity metrics.
Clear, concise communication and documentation skills.
Nice to have
Experience launching organization-wide AI/automation programs or agent governance.
Background in observability/telemetry for LLM systems (cost tracking, evals, quality signals).
Prior work with risk/compliance programs (data classification, RBAC, policy reviews).
Built enablement programs (docs, workshops, champions communities) that changed behavior.
Rapidly build, test, and deploy AI agents using the AI Gateway, Custom GPTs, and low/no-code tools.
Design scalable, secure, and reliable workflows with strong prompt patterns, evals, and canary tests.
Define new actions with Platform/Integrations when needed; ensure every agent has clear I/O, purpose, and a KPI.
Configure and chain actions; handle mapping, preprocessing, errors, retries, and safe context assembly.
Use managed auth/secrets with least-privilege access and data minimization.
Write SQL for retrieval context, routing rules, golden sets, and performance queries.
Integrate logs, BI, and admin tools into a single operational view.
Define and track core metrics: usage, adoption, accuracy, cost, time saved, revenue impact.
Build dashboards, scorecards, leaderboards, and automated alerts (health, anomalies, regressions).
Maintain evaluation frameworks and pipelines (golden sets, scenarios, automated checks).
Apply grounding, validation, guardrails, and set quality gates for deployment.
Own the AI Agent Registry (inventory, metadata, lifecycle, standards).
Define ownership/RACI per agent and partner with Legal/Security/Data/IT on approvals, access, and risk tiers.
Run portfolio reviews to improve, merge, or sunset agents.
Enable teams through training, documentation, prioritization guidance, and clear communication with executives.
HiBob is a village filled with amazing people and we’re especially proud of that. It’s a place where Bobbers can be themselves. We’re about fun, dreams, hopes and ambition, just as much as we are about precision, growth, and top performance. Becoming a Bobber means you’ll receive competitive compensation, benefits, and pre-IPO equity alongside all of this:
Company share options plan
We have a flexible hybrid working model
Work from home allowance- to get your home office set up!
Payment for sick leave from the first day
2 Social Impact days per year for volunteering
Annual Headspace subscription and wellness benefits
Awesome employee referral program- $2,500 for each successful referral with an additional ambassador programme
10 bis or cibus/wolt- you get to pick!
Transportation allowance
Dog-friendly
Temporary remote work from anywhere in the world for up to 2 months (after 6 months of employment)
Fun company and team social events (locally and virtually with our global teams)
Bob balance days - 4 additional days within a calendar year - Enjoy a company-wide long weekend at the beginning of each quarter
If this sounds like something you’ve been looking for, we’d love to have you. Come on, join our village!