Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

Kimchi is an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable. We're early, moving fast, and the developer community is central to how we grow.

Responsibilities:

• Build things publicly with Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself.
• Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
• Be the structured feedback loop between dev community and product - synthesize what you're hearing into actionable signals for the product team. 
• Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
• Speak at conferences, meetups and run workshops - representing Kimchi as a technical peer
• Identify where new users get stuck and advocate hard for fixes
• Help shape Kimchi's voice in the developer community - what we stand for, what we say when there is trending news in the market 

Requirements:

• You've built real software and can talk about it credibly - ideally you've used agentic coding tools and have opinions about them
• You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
• You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
• Huge plus: You'd have tested and found problems Kimchi solves interesting -  before this job posting even existed
• Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling

What’s in it for you?

• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• 1-2 additional interviews based on the role
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote

Become a Senior SRE for Bloomreach!

Join the newly form Datacraft team — the team building the next-generation data platform for Bloomreach Engagement. Datacraft owns three interconnected domains:

• Data Warehouses (~60%) — making Bloomreach data first-class in customer DWHs (Snowflake, BigQuery, Databricks). The strategic goal for 2026–27 is to use DWHs to exponentially accelerate data adoption.
• Loomi Analytics Agent (~20%) — evolving Loomi Analytics into an agentic analytics assistant that can explore data across systems, explain insights, and act on them.
• Dashboards & Analytics Stack (~20%) — moving Engagement reporting onto DWH-backed, modern analytics stacks (semantic layers, headless BI tools).

As a Senior SRE, you will be the reliability backbone of this AI-first data team. Your work will directly impact the deployments, pipelines, reliability, and observability of pipelines and services that hundreds of enterprise customers depend on — from data exports into Databricks and BigQuery, to the  AI agent Loomi uses to surface insights.

Datacraft is an AI-first team. We believe code is a commodity and expect every engineer to fluently use coding agents (e.g., Cursor, Claude Code, Copilot, Gemini CLI) as a core part of their daily workflow. The ability to leverage AI tooling to accelerate development, prototyping, and problem-solving is not optional — it's foundational. 

For candidates at the P3 / Senior SRE level, starting monthly compensation begins at 3 800 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Praha, Brno) or from home on a full-time basis, you'll become a core part of the Engineering team.

What challenge awaits you?

As a P3 (Senior) SRE at Bloomreach, you are an independent professional — expert in reliability engineering, able to decompose objectives into actionable infrastructure improvements, and lead initiatives end-to-end with minimal day-to-day guidance.

We need you to build and operate an ecosystem where data engineers can safely and efficiently develop, debug, and operate data-intensive jobs and services — spanning Kafka ingest pipelines, Iceberg data lakes, multi-DWH exports, Databricks deployment and orchestration (Airflow / Cloud Composer), and agentic AI workloads.

Your responsibilities

a. Platform reliability & observability

• Build and maintain the reliability ecosystem where engineers can safely develop, debug, and operate DataCraft services running on GCP and Kubernetes (DataProc, Cloud Composer, BigQuery, Snowflake/Databricks connectors).
• Ensure end-to-end observability across the full data platform — from Kafka ingest through GCS/Iceberg staging, Airflow orchestration, to Databricks and BigQuery destinations — enabling the team to catch missing loads, SLA breaches, and data drifts before customers notice, or costs drift.
• Drive scalability so services can scale vertically and horizontally based on operational and telemetric data (OpenTelemetry, Prometheus, Victoria Metrics).
• Maintain team health dashboards and alerting (Grafana, PagerDuty, Sentry).

b. Infrastructure as Code & deployments

• Own and evolve Terraform-based infrastructure for DataCraft services.
• Automate deployments, instance setup, and operational runbooks to eliminate manual/semi-manual steps.
• Maintain CI/CD pipelines (GitLab) with linters, security scans, and code quality checks, AI code reviews, enabling engineers to produce high-quality MRs.

c. Security & compliance

• Help the team fulfill security requirements for ISO and SOC2 audits by enforcing security principles: key distribution, key rotation, authorization & authentication at the service level, data encryption in transit, data isolation, resource limitations, and audit logs.
• Ensure data access controls are properly enforced across multi-DWH environments (BigQuery, Snowflake, Databricks).

d. Incident management & L3 support

• Participate in and drive L3 on-call rotation and incident resolution for DataCraft services.
• Contribute tooling for debugging, troubleshooting, and performance testing of data pipelines and orchestration layers.
• Use telemetry data and distributed tracing to navigate complex, distributed service architectures.

e. Agentic platform reliability

• Ensure reliability and observability of the Loomi Analytics Agent data infrastructure — LLM API gateway performance, MCP server health, and evaluation pipeline availability.
• Monitor and alert on data quality issues that could introduce inconsistencies or hallucinations in Loomi's responses — making the agent's data access patterns reliable and debuggable.

Our tech stack

Languages: Python (primary), Go, SQL Messaging & streaming: Apache Kafka Storage & databases: Databricks, BigQuery, Apache Iceberg, GCS, Mongo, Redis Data processing & orchestration: Apache Spark, DataFlow, Airflow / Cloud Composer Infrastructure: GCP, Kubernetes, Terraform AI / Agentic: LLM APIs, MCP, agent orchestration frameworks Observability: Grafana, Prometheus, Victoria Metrics, PagerDuty, Sentry, OpenTelemetry CI/CD & tooling: GitLab, Jira, Confluence AI coding agents: Cursor, Claude Code

Your qualifications

Professional experience

Impact

• You can articulate how your contributions transformed the way engineers work and fostered a strong SRE/DevOps culture.
• You can demonstrate how impactful reliability work connects to business success and customer outcomes.

Ownership

• You embrace the you build it, you run it principle — you love owning what you ship.
• You are cost-aware: effective vertical and horizontal autoscaling and detailed telemetry insights are how you demonstrate mindfulness of cloud spend.

Systematic approach

• Infrastructure as Code is the only thing that brings stability into chaos
• You design for failure: SLOs, error budgets, and runbooks are first-class artifacts, not afterthoughts.

Data-driven

• You use telemetry and metrics to give engineers actionable feedback on how applications and services behave.
• You can navigate complex data platform architectures using distributed tracing and debugging.

Technical skills

• Solid hands-on experience with GCP (BigQuery, DataProc, Cloud Composer, GCS) and Kubernetes.
• Experience with Python; Go is a strong advantage.
• Familiarity with data pipeline technologies (Kafka, Airflow/Cloud Composer, Spark, Iceberg) — you don't need to write ETL code, but you need to operate it reliably and know when something is wrong.
• Fluent use of AI coding agents (Cursor, Claude Code, Copilot, Gemini CLI, or similar) — you already use these tools daily to accelerate work.
• Comfortable with on-call rotation and 24/7 incident response.
• Remote-first mindset — you know how to be effective in distributed teams.
• You are able to learn and adapt — essential when exploring new tech or navigating our growing codebase.

Strongly preferred

• Experience operating single-DWH environments (Snowflak, Databricks or BigQuery).
• Familiarity with agentic/LLM workloads — API reliability, latency SLOs, trace observability for AI systems.
• Experience with open table formats (Iceberg, Delta Lake) in production environments.
• Exposure to data security and compliance in the context of customer-facing DWH integrations (consent, data retention, PII handling).

Personal qualities

• Ownership & accountability — you take issues from detection through to resolution and follow-up prevention.
• Systematic thinking — you identify root causes, not symptoms, and document your findings so the team learns.
• Collaboration & communication — you explain trade-offs and constraints clearly to both engineers and non-engineers.
• Bias for reliability — operational excellence (SLOs, oncall friendliness, proactive alerting) is not a chore, it's your craft.
• Continuous improvement mindset — you are comfortable iterating, revisiting assumptions, and improving incrementally.
• Comfortable operating remote-first in a distributed team across Central Europe.

Your success story

In 30 days:

• Get to know the DataCraft team, the company, and the most important processes.
• Set up your local and GCP development environment and complete the Engagement engineering onboarding.
• Understand the current state of DataCraft services: pipelines, orchestration, observability gaps, and on-call runbooks.

In 90 days:

• Start contributing to the L3 on-call rotation, handling incidents, troubleshooting, and debugging — which will sharpen your understanding of the platform and surface fresh improvement ideas.
• Deliver your first meaningful reliability improvement: an observability enhancement, a deployment automation, or an SLO definition for a key DataCraft service.

In 180 days:

• Own the reliability posture of at least one DataCraft domain end-to-end — able to independently design, operate, and continuously improve it.
• Drive measurable improvements in MTTR, alert signal-to-noise ratio, or deployment confidence across the team.
• Be a trusted reliability partner in architecture discussions — your input shapes how new DataCraft services are designed for operability from day one.

#LI-KP1

Bloomreach powers digital commerce with AI-native solutions for marketing automation, search and merchandising, conversational shopping assistance, and headless content management—driven by unified customer and product data for personalization and measurable business impact. We're expanding with new ideas and modules.

For example, our Autonomous marketing solution, you can get more info about our vision here -  https://visit.bloomreach.com/innovation-fest-2025-after

Join the Engineering team working on an Autonomous marketing solution to help shape the future of autonomous marketing. As a Software Engineer, you'll build and deploy agentic AI systems with real-world impact, collaborating alongside innovators redefining how brands engage millions of customers.

If you're passionate about prompt and context engineering, driven by impact, and want to be a key part of defining the industry's future, Bloomreach wants to hear from you. This role focuses on solving real-world problems with production-ready agentic systems, not just internal experimentation.

What challenge awaits you?

Step into the forefront of autonomous marketing innovation. As a member of the Engineering team, you’ll take on the challenge of designing, developing, and scaling production-grade agentic AI systems that are redefining how brands connect with millions of customers in real time.

You will tackle the complexities of architecting and orchestrating powerful AI agents—leveraging the latest in large language models, prompt and context engineering, and agentic workflows—to drive automated, personalized engagement across diverse digital channels. Your work involves shaping the context and memory that empowers our agents to make smart, data-driven decisions at scale.

Collaboration is key: you’ll partner with fellow engineers, data scientists, and product leaders to integrate agentic intelligence into our platform, ensuring seamless alignment with customer data, analytics, and channel experiences. This is a unique opportunity to apply your technical expertise in prompt and context engineering, contribute to an ambitious product vision, and help define the future of the marketing industry through autonomous, AI-driven solutions.

What will you do?

• Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions.
• Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users.
• Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale.
• Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept.
• Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios.
• Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch.
• Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers.
• Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight.
• Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration.

What is required for success in this role?

• A holistic engineering mindset oriented toward product excellence and impact
• Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
• Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
• Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes

What technologies and tools does the Autonomous Marketing team work with?

• Programming languages - Python/FastAPI on Backend, TypeScript/Angular on UI 
• AI-Agentic tech stack - Gemini, PydanticAI, OpenAI, Phoenix Arize
• Google Cloud Platform services - VertexAI, GKE, BigQuery
• Data Storage and Processing - PostgreSQL, MongoDB

Experience and Qualities We Seek

We're looking for engineers who exemplify a product-driven, hands-on mindset and are skilled at translating visionary ideas into reliable, scalable, and impactful AI solutions for production environments. The ideal candidate is passionate about building GenAI/LLM-based agentic systems that not only work in theory but deliver measurable impact for users and businesses.

Professional experience

• Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios.
• Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued.
• Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production.
• Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows.
• Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers.

Personal qualities

• Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly.
• Excellent communication and collaboration skills, with a demonstrated ability to work cross-functionally in diverse teams and articulate complex technical concepts to non-technical partners.
• A commitment to excellence: you are dedicated to continuous learning, knowledge sharing, and raising the bar for both technology and product impact.
• Genuine excitement for pushing boundaries: you stay curious about emerging AI and agentic technologies, and are excited to help define the future of marketing through creative, high-impact engineering.

Excited? Join us and transform the future of commerce experiences.

Bloomreach powers digital commerce with AI-native solutions for marketing automation, search and merchandising, conversational shopping assistance, and headless content management—driven by unified customer and product data for personalization and measurable business impact. We're expanding with new ideas and modules.

For example, our Autonomous marketing solution, you can get more info about our vision here -  https://visit.bloomreach.com/innovation-fest-2025-after

Join the Engineering team working on an Autonomous marketing solution to help shape the future of autonomous marketing. As a Software Engineer, you'll build and deploy agentic AI systems with real-world impact, collaborating alongside innovators redefining how brands engage millions of customers.

For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience(, and location). Stock options and a comprehensive benefits package are also included.

If you're passionate about prompt and context engineering, driven by impact, and want to be a key part of defining the industry's future, Bloomreach wants to hear from you. This role focuses on solving real-world problems with production-ready agentic systems, not just internal experimentation.

What challenge awaits you?

Step into the forefront of autonomous marketing innovation. As a member of the Engineering team, you’ll take on the challenge of designing, developing, and scaling production-grade agentic AI systems that are redefining how brands connect with millions of customers in real time.

You will tackle the complexities of architecting and orchestrating powerful AI agents—leveraging the latest in large language models, prompt and context engineering, and agentic workflows—to drive automated, personalized engagement across diverse digital channels. Your work involves shaping the context and memory that empowers our agents to make smart, data-driven decisions at scale.

Collaboration is key: you’ll partner with fellow engineers, data scientists, and product leaders to integrate agentic intelligence into our platform, ensuring seamless alignment with customer data, analytics, and channel experiences. This is a unique opportunity to apply your technical expertise in prompt and context engineering, contribute to an ambitious product vision, and help define the future of the marketing industry through autonomous, AI-driven solutions.

What will you do?

• Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions.
• Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users.
• Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale.
• Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept.
• Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios.
• Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch.
• Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers.
• Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight.
• Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration.

What is required for success in this role?

• A holistic engineering mindset oriented toward product excellence and impact
• Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
• Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
• Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes

What technologies and tools does the Autonomous Marketing team work with?

• Programming languages - Python/FastAPI on Backend, TypeScript/Angular on UI 
• AI-Agentic tech stack - Gemini, PydanticAI, OpenAI, Phoenix Arize
• Google Cloud Platform services - VertexAI, GKE, BigQuery
• Data Storage and Processing - PostgreSQL, MongoDB

Experience and Qualities We Seek

We're looking for engineers who exemplify a product-driven, hands-on mindset and are skilled at translating visionary ideas into reliable, scalable, and impactful AI solutions for production environments. The ideal candidate is passionate about building GenAI/LLM-based agentic systems that not only work in theory but deliver measurable impact for users and businesses.

Professional experience

• Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios.
• Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued.
• Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production.
• Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows.
• Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers.

Personal qualities

• Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly.
• Excellent communication and collaboration skills, with a demonstrated ability to work cross-functionally in diverse teams and articulate complex technical concepts to non-technical partners.
• A commitment to excellence: you are dedicated to continuous learning, knowledge sharing, and raising the bar for both technology and product impact.
• Genuine excitement for pushing boundaries: you stay curious about emerging AI and agentic technologies, and are excited to help define the future of marketing through creative, high-impact engineering.

Excited? Join us and transform the future of commerce experiences.

Our Global Procurement team aims to provide a best-in-class experience that ensures Bloomreachers get exactly what they need, when they need it, under the best possible terms. 

If you have a passion for high-stakes negotiation and are in the business of using agentic AI and automation to "delete" manual work, join Bloomreach as a Strategic Sourcing & Systems Manager. In this role, you will leverage a cutting-edge stack that includes ZIP, Zapier, and LLMs to turn procurement into a true business enabler.  You will also help manage and maintain our suite of procurement tools, ensuring our global "follow-the-sun" operation runs flawlessly from Europe.

What challenge awaits you? 

The Procurement team is looking for an innovation-first manager to help us transition from excellent turnaround times to "best-in-class." You will adopt the challenge of scaling our global intake and sourcing capabilities by automating away friction. You will build, manage, and optimize reporting and workflows that balance rapid automation with smart risk management. You will then use these tools to dig deep into spend data, ensuring we are always operating at the forefront of procurement technology. Your salary starts from €3000 gross per month with restricted stock units and other benefits included. You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.

Your job will be to:

a. Deliver a Seamless & Competitive Procurement Experience

• Support the global intake lifecycle, ensuring Bloomreachers enjoy a frictionless experience that gets them what they need, exactly when they need it.
• Drive operational velocity by maintaining best-in-class Turnaround Times (TAT), providing the organization with a competitive edge through rapid resource deployment.
• Act as the European anchor for our "follow-the-sun" support model, ensuring proactive partnership and seamless global coverage alongside our US-based team.
• Lead high-impact negotiations for global contracts, securing terms that mitigate risk while actively empowering our teams to move faster.

b. Architect Sourcing & Automation Workflows

• Manage and maintain our core suite of tools, including ZIP, Vendr, Spendhound, and DocuSign.
• Utilize Zapier, N8N, and Agentic AI solutions to automate manual steps in the procurement lifecycle.
• Experiment with and implement ambitious LLM (Claude, Gemini) use cases to improve document processing and stakeholder communication.

c. Partner with the Business on Risk & Strategic Insights

• Cultivate deep partnerships across the organization to gain a thorough understanding of what our teams do and the strategic "why" behind their requirements, enabling us to provide better-aligned and more impactful support.
• Collaborate with internal stakeholders to define and calibrate the company's risk appetite for various spend categories to match business velocity.
• Design and implement smart compliance parameters within our automated workflows to hit the perfect balance between operational speed and risk management.
• Ensure a consistent global experience across our procurement processes so that every user can navigate their buying journey easily and efficiently.

d. Lead Data-Driven Procurement Innovation

• Take an active role in identifying new ways to collect and analyze spend data using NetSuite and Spendhound.
• Work jointly with our FP&A team to proactively identify budget challenges and opportunities.
• Develop expert-level knowledge of all internal data and business tactics to identify consolidation potential.
• Present performance insights to leadership in a manner that demonstrates procurement's value as a strategic enabler.

Ultimately, your goal is not just to manage contracts, but to build an automated, intelligent procurement engine that scales with Bloomreach’s growth.

Your success story will be:

• In 30 days, you dive right in, becoming familiar with our current ZIP workflows and global intake queue, identifying the first "low-hanging fruit" for automation.
• In 90 days, you have created a prioritized roadmap for AI agents and automation and have already begun executing the first phase of improvements.
• In 180 days, you have automated over 4 distinct manual processes and successfully improved our global TAT by 0.5 working days, becoming an essential part of our global operations.

You have the following experience and qualities:

1. Professional — experience in procurement operations and workflow engineering
2. Personal — motivation, independence, and fluency in English

Professional experience

• 3–5 years of experience in procurement or sourcing (we value attitude and specific automation experience over years on the clock).
• Hands-on experience with Zapier, N8N, or other agentic AI/automation solutions.
• Strong interest in using LLMs (Claude, Gemini, etc.) to solve complex back-office challenges.
• Experience negotiating SaaS and professional services contracts in a global environment.
• Good to have: Proven experience with ZIP or similar intake-to-orchestration platforms

Personal qualities

• Enjoy working as a service-oriented enabler and taking pride in helping others succeed, understanding that procurement is a supporting role at its heart.
• Energized by variety and motivated by the challenge of working across all categories as a generalist rather than being boxed into one specialty.
• Naturally curious — Take pride in uncovering new findings and solving problems, even those that are complex or may have more than one resolution.
• Take ownership of both successes and failures, with the ability to apply learnings to future projects and the self-organization to navigate through ambiguous situations.
• Fluent in English with excellent written and verbal communication skills.

Excited? Join us and transform the future of commerce experiences.

Our Global Procurement team aims to provide a best-in-class experience that ensures Bloomreachers get exactly what they need, when they need it, under the best possible terms. 

If you have a passion for high-stakes negotiation and are in the business of using agentic AI and automation to "delete" manual work, join Bloomreach as a Strategic Sourcing & Systems Manager. In this role, you will leverage a cutting-edge stack that includes ZIP, Zapier, and LLMs to turn procurement into a true business enabler.  You will also help manage and maintain our suite of procurement tools, ensuring our global "follow-the-sun" operation runs flawlessly from Europe.

What challenge awaits you? 

The Procurement team is looking for an innovation-first manager to help us transition from excellent turnaround times to "best-in-class." You will adopt the challenge of scaling our global intake and sourcing capabilities by automating away friction. You will build, manage, and optimize reporting and workflows that balance rapid automation with smart risk management. You will then use these tools to dig deep into spend data, ensuring we are always operating at the forefront of procurement technology. You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.

Your job will be to:

a. Deliver a Seamless & Competitive Procurement Experience

• Support the global intake lifecycle, ensuring Bloomreachers enjoy a frictionless experience that gets them what they need, exactly when they need it.
• Drive operational velocity by maintaining best-in-class Turnaround Times (TAT), providing the organization with a competitive edge through rapid resource deployment.
• Act as the European anchor for our "follow-the-sun" support model, ensuring proactive partnership and seamless global coverage alongside our US-based team.
• Lead high-impact negotiations for global contracts, securing terms that mitigate risk while actively empowering our teams to move faster.

b. Architect Sourcing & Automation Workflows

• Manage and maintain our core suite of tools, including ZIP, Vendr, Spendhound, and DocuSign.
• Utilize Zapier, N8N, and Agentic AI solutions to automate manual steps in the procurement lifecycle.
• Experiment with and implement ambitious LLM (Claude, Gemini) use cases to improve document processing and stakeholder communication.

c. Partner with the Business on Risk & Strategic Insights

• Cultivate deep partnerships across the organization to gain a thorough understanding of what our teams do and the strategic "why" behind their requirements, enabling us to provide better-aligned and more impactful support.
• Collaborate with internal stakeholders to define and calibrate the company's risk appetite for various spend categories to match business velocity.
• Design and implement smart compliance parameters within our automated workflows to hit the perfect balance between operational speed and risk management.
• Ensure a consistent global experience across our procurement processes so that every user can navigate their buying journey easily and efficiently.

d. Lead Data-Driven Procurement Innovation

• Take an active role in identifying new ways to collect and analyze spend data using NetSuite and Spendhound.
• Work jointly with our FP&A team to proactively identify budget challenges and opportunities.
• Develop expert-level knowledge of all internal data and business tactics to identify consolidation potential.
• Present performance insights to leadership in a manner that demonstrates procurement's value as a strategic enabler.

Ultimately, your goal is not just to manage contracts, but to build an automated, intelligent procurement engine that scales with Bloomreach’s growth.

Your success story will be:

• In 30 days, you dive right in, becoming familiar with our current ZIP workflows and global intake queue, identifying the first "low-hanging fruit" for automation.
• In 90 days, you have created a prioritized roadmap for AI agents and automation and have already begun executing the first phase of improvements.
• In 180 days, you have automated over 4 distinct manual processes and successfully improved our global TAT by 0.5 working days, becoming an essential part of our global operations.

You have the following experience and qualities:

1. Professional — experience in procurement operations and workflow engineering
2. Personal — motivation, independence, and fluency in English

Professional experience

• 3–5 years of experience in procurement or sourcing (we value attitude and specific automation experience over years on the clock).
• Hands-on experience with Zapier, N8N, or other agentic AI/automation solutions.
• Strong interest in using LLMs (Claude, Gemini, etc.) to solve complex back-office challenges.
• Experience negotiating SaaS and professional services contracts in a global environment.
• Good to have: Proven experience with ZIP or similar intake-to-orchestration platforms

Personal qualities

• Enjoy working as a service-oriented enabler and taking pride in helping others succeed, understanding that procurement is a supporting role at its heart.
• Energized by variety and motivated by the challenge of working across all categories as a generalist rather than being boxed into one specialty.
• Naturally curious — Take pride in uncovering new findings and solving problems, even those that are complex or may have more than one resolution.
• Take ownership of both successes and failures, with the ability to apply learnings to future projects and the self-organization to navigate through ambiguous situations.
• Fluent in English with excellent written and verbal communication skills.

Excited? Join us and transform the future of commerce experiences.