Solve hard problems where AI meets cybersecurity.

What you'll work on

• Own stable, versioned platform APIs and SDKs, including client interfaces, compatibility rules, documentation, and examples.
• Build FastAPI services for enforcement decisions, evidence, policies, and red-team results.
• Design authentication, sessions, API keys, authorisation, and rigorous multi-tenant isolation.
• Build data and event interfaces, real-time streams, and a tamper-evident audit ledger.
• Create customer onboarding, policy integration, and operator dashboard workflows.
• Own testing and deployment across API compatibility, browser smoke tests, Cloud Run, and Cloud SQL.

What we're looking for

A product-minded platform engineer who makes complex systems clear and predictable and takes ownership from the data model to the customer integration.

• Strong backend experience with HTTP APIs; Python and FastAPI experience is preferred.
• Experience with observability, tracing, relational databases, and database migrations.
• Sound judgement around API design, versioning, SDKs, and compatibility.
• A strong understanding of authentication, authorisation, API keys, and multi-tenant access control.
• Good JavaScript and React skills for building operator-facing product surfaces.
• The ability to work independently and own technically uncertain customer problems.

What you'll do

• Design the data model for our append-only, cryptographically signed evidence store.
• Build the streaming and batch layer that turns ingested activity and detections into queryable data, working with our integrations engineers on schemas.
• Own data quality, retention, residency and deletion controls for regulated customers.
• Build training and evaluation datasets with our data scientists and security engineers.
• Make compliance reporting against the EU AI Act, NIST AI RMF and ISO/IEC 42001 quick to produce from our data.

Success in your first six months

• The evidence store is in production, documented and trusted by customers' auditors.
• Colleagues answer compliance and detection questions from data you own, without ad hoc work.
• Training and evaluation data has clear provenance and separation.

What we're looking for

• 6+ years in data engineering, owning production pipelines.
• Strong Python and SQL, with Postgres plus a warehouse or analytics store such as BigQuery or ClickHouse.
• Experience with streaming (Kafka, Pub/Sub or similar) and orchestration (Airflow, Dagster or similar).
• Data modelling for audit trails, lineage and multi-tenant isolation.
• Security-minded handling of sensitive data.

Nice to have

• Data work in banking, insurance or other regulated industries.
• Experience with UK GDPR and data residency.

What you'll do

• Design the data model for our append-only, cryptographically signed evidence store.
• Build the streaming and batch layer that turns ingested activity and detections into queryable data.
• Own data quality, retention, residency and deletion controls for regulated customers.
• Build training and evaluation datasets with our data scientists and security researchers.
• Make compliance reporting against the EU AI Act, NIST AI RMF and ISO/IEC 42001 quick to produce from our data.

Success in your first six months

• The evidence store is in production, documented and trusted by customers' auditors.
• Colleagues answer compliance and detection questions from data you own, without ad hoc work.
• Training and evaluation data has clear provenance and separation.

What we're looking for

• 6+ years in data engineering, owning production pipelines.
• Strong Python and SQL, with Postgres plus a warehouse or analytics store such as BigQuery or ClickHouse.
• Experience with streaming (Kafka, Pub/Sub or similar) and orchestration (Airflow, Dagster or similar).
• Data modelling for audit trails, lineage and multi-tenant isolation.
• Security-minded handling of sensitive data.

Nice to have

• Google Cloud experience, or data work in regulated industries.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll do

• Run and harden our Google Cloud production estate as infrastructure as code.
• Build CI/CD with signed artefacts, supply-chain verification and fast, safe releases.
• Package Refractal for customer-hosted and private-cloud deployments that pass enterprise security reviews.
• Own secrets management, key rotation, environment isolation and on-call observability.
• Automate the security controls and audit evidence behind our own compliance programme.

Success in your first six months

• Releases are automated, signed and easy to roll back.
• Customers can run Refractal in their own environments using packaging you built.
• Our infrastructure is fully codified, monitored and documented.

What we're looking for

• 6+ years in DevOps, SRE or infrastructure engineering, owning production systems.
• Deep experience with Terraform or similar, containers and Kubernetes.
• Strong Google Cloud or AWS experience, including network and IAM design.
• Experience with CI/CD and software supply-chain security, including SBOMs, signing and provenance.
• Python or Go for automation.

Nice to have

• Experience deploying into financial-services or other regulated environments.
• Familiarity with operational-resilience requirements such as DORA.

What you'll do

• Run and harden our Google Cloud production estate as infrastructure as code.
• Build CI/CD with signed artefacts, supply-chain verification and fast, safe releases.
• Package Refractal for customer-hosted and private-cloud deployments, including on-premises installations.
• Own secrets management, key rotation, environment isolation and on-call observability.
• Automate the security controls and audit evidence behind our own compliance programme.

Success in your first six months

• Releases are automated, signed and easy to roll back.
• Customers can run Refractal in their own environments using packaging you built.
• Our infrastructure is fully codified, monitored and documented.

What we're looking for

• 6+ years in DevOps, SRE or infrastructure engineering, owning production systems.
• Deep experience with Terraform or similar, containers and Kubernetes.
• Strong Google Cloud or AWS experience, including network and IAM design.
• Experience with CI/CD and software supply-chain security, including SBOMs, signing and provenance.
• Python or Go for automation.

Nice to have

• Experience deploying into on-premises or highly restricted customer environments.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll do

• Build the operator console in React and TypeScript, turning designs into fast, accessible interfaces for security and compliance teams.
• Work with our product designer on workflows for policy authoring, triage, investigations and audit reporting.
• Build and maintain integrations with customers' AI platforms and security tools, including SIEMs, identity providers and observability platforms.
• Design the APIs and SDKs that customers use to connect their agents and tools to Refractal.
• Make integrations reliable through testing, monitoring and clear setup documentation.

Success in your first six months

• Console workflows you built are in customers' hands and measurably easier to use.
• Priority integrations are live, documented and supported.
• The front-end and integration standards you set are in use across the Podgorica team.

What we're looking for

• 6+ years in software engineering, with deep front-end experience in React and TypeScript.
• A strong eye for UI and UX, and experience turning designs into polished, data-heavy interfaces.
• Experience building integrations with third-party APIs, including authentication, rate limits and error handling.
• Working knowledge of a backend language, ideally Python.
• Clear communication with designers, engineers and customers.

Nice to have

• Experience with SIEM, identity or observability platforms such as Splunk, Okta or OpenTelemetry.
• Experience building security or compliance products.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll do

• Build and maintain integrations with security and observability tools, including platforms such as Splunk.
• Develop pipelines to ingest, validate and transform security data, accounting for inconsistent formats, incomplete records and changing source systems.
• Design clear interfaces between integrations and the wider product, working with platform engineers to keep responsibilities well defined.
• Make integrations reliable in production through testing, monitoring, useful error messages and safe handling of credentials and sensitive data.
• Investigate customer integration issues and turn recurring problems into product improvements, documentation and reusable implementation patterns.

Success in your first six months

• You've shipped and supported priority integrations that customers can use with clear setup guidance.
• The data flows you own handle common failures predictably and make problems straightforward to diagnose.
• You've established reusable patterns that make the next integration easier to build and maintain.

What we're looking for

• Experience building and maintaining software, with a clear approach to testing, debugging and code review.
• Familiarity with data engineering concepts, including ingestion, transformation, data quality and pipeline reliability.
• Experience working with APIs and external systems, including authentication, pagination, rate limits and error handling.
• Ability to investigate unfamiliar systems and turn incomplete requirements into a practical implementation.
• Clear communication and a willingness to own work through deployment and ongoing support.

Nice to have

• Experience integrating with Splunk or other SIEM and observability platforms.
• Familiarity with security telemetry, event schemas or detection workflows.
• Experience with high-volume data processing or customer-facing integration projects.

What you'll do

• Build internal tools for our engineering, research and customer-facing teams, such as admin consoles, deployment and support tooling, and data utilities.
• Develop and maintain backend services and APIs behind the product, with clear interfaces and documentation.
• Automate repetitive work across engineering and operations, from testing and release checks to customer onboarding.
• Strengthen reliability and security through testing, code review, monitoring and investigation of production issues.
• Use modern AI software engineering tools thoughtfully, taking responsibility for understanding, reviewing and testing every change you ship.

Success in your first six months

• Internal tools you built are in daily use and save the team measurable time.
• The services you own have useful tests, clear documentation and enough visibility to diagnose problems.
• You've helped the team use AI tools more effectively while keeping code quality high.

What we're looking for

• Experience building and maintaining software, with strong fundamentals in system design, debugging and testing.
• Ability to build clear APIs and work confidently with databases and backend services.
• Familiarity with current AI coding assistants or agents, and judgement about where they help and where their output needs scrutiny.
• A habit of understanding the code you ship, checking assumptions and validating behaviour beyond whether it appears to work.
• Ability to break down ambiguous problems, communicate trade-offs and own the quality of your work.

Nice to have

• Experience building internal platforms, developer tooling or workflow automation.
• Familiarity with security-sensitive systems, access controls or auditability.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll work on

• Build and operate a low-latency runtime enforcement pipeline with predictable failure behaviour.
• Own observability and tracing across agent actions, tool calls, model calls, and enforcement decisions.
• Build tamper-evident evidence storage and enforce multi-tenant isolation throughout every data path.
• Create reliable event and streaming services with safe handling for load, retries, backpressure, and disconnections.
• Build infrastructure for red-team jobs, evaluation workloads, and model-serving services.
• Own cloud infrastructure, continuous delivery, secrets, artefact verification, and production trust boundaries.

What we're looking for

A systems engineer who reasons carefully about latency, failure, isolation, integrity, and cost, and uses measurements rather than assumptions.

• Strong experience with backend, distributed, or infrastructure systems; Python experience is preferred.
• Production observability and distributed tracing experience, ideally with OpenTelemetry or similar tooling.
• Experience building responsive services under load with correct timeout, retry, and backpressure behaviour.
• Experience with Postgres, Row-Level Security, migrations, and multi-tenant access-control testing.
• Hands-on experience with containers, cloud infrastructure, continuous delivery, and operational security.
• The ability to work independently and own technically ambiguous production problems.

What you'll do

• Design and execute assessments of AI applications and agents, grounded in realistic attacker goals and clearly defined test scope.
• Test realistic threats such as indirect prompt injection, misuse of connected tools, sensitive data exposure and attempts to cross permission boundaries.
• Build reproducible test cases and small testing tools that demonstrate security impact and distinguish reliable failures from one-off outputs.
• Analyse how model behaviour, application design, identity and permissions combine to create vulnerabilities.
• Document findings, recommend practical mitigations and retest fixes with the engineers responsible for the affected systems.

Success in your first six months

• You've established a repeatable assessment approach that connects realistic adversaries, test scenarios and security outcomes.
• You've produced actionable findings with reproducible evidence and helped validate the resulting fixes.
• You've built a growing set of regression tests that captures recurring failure modes and checks whether fixes hold.

What we're looking for

• Hands-on experience in offensive security, application security testing or adversarial testing of AI systems.
• A solid understanding of web applications, APIs, authentication, authorisation and common security failure modes.
• An understanding of how AI applications use prompts, retrieved information, memory and connected tools, and where trust boundaries arise.
• The ability to write code that automates testing, reproduces findings and inspects application behaviour.
• Good judgement around test scope and sensitive data, and the ability to explain technical findings in terms of practical impact.

Nice to have

• Experience assessing LLM applications, agent workflows or systems that retrieve external content.
• Experience building security evaluation suites or testing proposed mitigations systematically.
• Experience combining application testing with cloud, identity or infrastructure security assessment.

What you'll do

• Translate detection and investigation workflows into product requirements, helping engineers understand what security teams need and why.
• Use your experience with detection rules and SIEMs such as Splunk and Datadog to guide product design and integration priorities.
• Build realistic examples and test cases that capture attacker behaviour, benign activity and common sources of false positives.
• Evaluate product outputs for detection quality, useful context and the effort required for an analyst to reach a decision.
• Work with customers and colleagues to identify gaps, prioritise improvements and check that changes address practical security needs.

Success in your first six months

• You've translated important detection and response needs into clear product requirements and helped deliver improvements.
• You've built representative test cases that help the team assess detection quality and investigation usefulness.
• You've established a feedback loop that brings practitioner experience into engineering and research decisions.

What we're looking for

• Hands-on experience writing and tuning detection rules, with examples of how you assessed whether they worked.
• Practical experience using SIEM platforms, including Splunk or Datadog, to query security data and investigate activity.
• Experience in detection and response, with a clear understanding of analyst workflows, false positives and gaps in security telemetry.
• The ability to explain security problems to software engineers and translate your experience into requirements and test cases.
• An interest in building products and a willingness to challenge assumptions using evidence from practical security work.

Nice to have

• Experience contributing to a security product or working closely with software and research engineers.
• Scripting skills for preparing data, prototyping ideas or creating repeatable security tests.
• An interest in how AI changes attacker behaviour and the security of autonomous agents.

What you'll do

• Red-team AI agents across browser, code, enterprise and multi-agent environments.
• Research prompt injection, tool abuse, memory poisoning, identity and data-exfiltration attack chains.
• Build automated attack tooling and reusable evaluation suites that run in CI and for customers.
• Turn findings into detection rules, classifiers and policy controls with our engineers.
• Lead customer assessments and write findings that security leaders can act on.

Success in your first six months

• You've set a research agenda and delivered findings that changed the product.
• A growing regression suite captures the attack techniques you've found.
• Customers have received assessments with clear, reproducible evidence.

What we're looking for

• 6+ years in offensive security, application security, red teaming or vulnerability research.
• A record of original findings, such as CVEs, bug bounties, published research or conference talks.
• Hands-on experience attacking LLM applications or agents, including tool calling, retrieval, memory and permissions.
• Strong Python and a systems language, with a habit of building your own tooling.
• Clear communication of rigorous findings to engineers and executives.

Nice to have

• Working knowledge of MITRE ATLAS or the OWASP Top 10 for LLM applications.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll do

• Train, tune and ship classifiers for prompt injection, data exfiltration, policy violations and other risky AI activity.
• Design low-latency models, including distilled and small models and rules-plus-ML ensembles.
• Analyse production telemetry for drift, blind spots, false-positive cost and new attack patterns.
• Build evaluations and benchmarks for our detection models, and work with security engineers to turn new attacks into training data.
• Turn company policies and regulatory requirements into measurable controls.

Success in your first six months

• Detection models you own are in production, with quality metrics tracked per customer.
• You've reduced false positives or latency measurably without losing detection quality.
• Production data feeds a regular cycle of model improvements.

What we're looking for

• 5+ years in applied ML or data science, with models shipped to production.
• Strong Python, PyTorch or similar, and solid statistics for evaluation.
• Hands-on NLP and LLM work: fine-tuning, embeddings, classification and LLM-as-judge.
• Experience measuring fuzzy problems, including labelling, agreement and drift.
• Clear communication of trade-offs to engineers and customers.

Nice to have

• Experience with adversarial ML, safety or content-moderation models.
• Published work on evaluations or AI security.

What you'll do

• Train, tune and ship classifiers for prompt injection, data exfiltration, policy violations and other risky AI activity.
• Design low-latency models, including distilled and small models and rules-plus-ML ensembles.
• Analyse production telemetry for drift, blind spots, false-positive cost and new attack patterns.
• Build evaluations and benchmarks for our detection models, and work with security researchers to turn new attacks into training data.
• Turn company policies and regulatory requirements into measurable controls.

Success in your first six months

• Detection models you own are in production, with quality metrics tracked per customer.
• You've reduced false positives or latency measurably without losing detection quality.
• Production data feeds a regular cycle of model improvements.

What we're looking for

• 5+ years in applied ML or data science, with models shipped to production.
• Strong Python, PyTorch or similar, and solid statistics for evaluation.
• Hands-on NLP and LLM work: fine-tuning, embeddings, classification and LLM-as-judge.
• Experience measuring fuzzy problems, including labelling, agreement and drift.
• Clear communication of trade-offs to engineers and customers.

Nice to have

• Experience with adversarial ML, safety or content-moderation models.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll do

• Develop a focused account strategy across agreed EMEA markets, prioritising organisations with relevant security needs and building opportunities through targeted prospecting and relationship development.
• Lead discovery with security, technical and business stakeholders to understand the problem, its impact, the decision process and what would justify a purchase.
• Work with technical colleagues to shape demonstrations and evaluations around agreed customer outcomes, keeping requirements, responsibilities and next steps clear throughout.
• Manage opportunities through business case development, procurement, negotiation and close, adapting to the stakeholders and purchasing practices involved in each market.
• Assess where regional partners can help reach or support customers, coordinate relevant relationships and maintain accurate opportunity records and forecasts.

Success in your first six months

• You've built a qualified pipeline in agreed markets, with credible customer needs, identified decision-makers and clear next steps for each opportunity.
• You've won new business against agreed commercial targets and can explain what helped customers reach a purchasing decision.
• You've established a repeatable approach to account prioritisation and shared actionable feedback on market differences, customer objections and where partners add value.

What we're looking for

• Experience managing the full sales cycle for technically complex B2B software, with evidence of winning business through consultative selling.
• Ability to engage security and technical stakeholders, learn the product deeply and explain its value accurately.
• Experience navigating buying processes across multiple EMEA markets and adapting your approach to different customer contexts.
• Strong discovery, qualification and negotiation skills, including coordinating several stakeholders through a purchasing decision.
• Disciplined pipeline management and forecasting, with clear communication about progress, risks and the support needed.

Nice to have

• Experience selling cybersecurity products or working with security teams as buyers.
• Experience working with regional channel, referral or other commercial partners.
• Additional language skills relevant to EMEA markets, or familiarity with AI security challenges.

What you'll do

• Develop a US account strategy, prioritising organisations with relevant security needs and creating opportunities through targeted outbound activity and relationships.
• Lead discovery with security, technical and business stakeholders, identifying the operational impact of their challenges and the conditions required for a purchasing decision.
• Partner with technical colleagues on demonstrations and evaluations, agreeing useful success criteria with customers and keeping the work connected to an active buying process.
• Build customer champions and business cases, coordinating budget owners, procurement, legal and other stakeholders to move opportunities through negotiation and close.
• Maintain clear opportunity records and reliable forecasts, and bring specific customer feedback to colleagues to improve positioning, qualification and the sales process.

Success in your first six months

• You've built a qualified US pipeline with clear customer problems, identified stakeholders and realistic plans for progressing each opportunity.
• You've won new business against agreed commercial targets and can explain what helped customers reach a purchasing decision.
• You've developed a repeatable approach to reaching relevant accounts and shared useful evidence about US buying dynamics, objections and competitive alternatives.

What we're looking for

• Experience managing the full sales cycle for technically complex B2B software, with evidence of winning business through consultative selling.
• Experience selling to US organisations and navigating the stakeholders, budget decisions and procurement steps involved in a complex purchase.
• Ability to engage security and technical stakeholders, learn the product deeply and communicate its capabilities and limitations accurately.
• Strong prospecting, discovery and negotiation skills, with the persistence and judgement to move opportunities forward.
• Disciplined pipeline management and forecasting, plus a collaborative approach to working with technical and commercial colleagues.

Nice to have

• Experience selling cybersecurity products or working with security teams as buyers.
• Experience developing account strategies and sales practices in an early-stage company.
• Familiarity with AI security challenges, or experience selling to organisations with demanding security requirements.

What you'll do

• Own the full sales cycle for US enterprise accounts, from first meeting to signature.
• Sell to CISOs, security leaders, and risk and compliance executives.
• Build and close partnerships with managed security service providers that resell or embed Refractal.
• Run evaluations with our Forward Deployed Engineer and turn them into contracts.
• Help refine our ideal customer profile, pricing, proposals and sales process, and lead outbound with our SDR.

Success in your first six months

• You've built a qualified pipeline with identified decision-makers and clear next steps.
• You've won new business against agreed targets and have at least one MSSP partnership in motion.
• What works in your accounts is documented so the rest of the sales team can use it.

What we're looking for

• 7+ years in B2B sales, including 5+ carrying a closing quota and 3+ selling security.
• A record of closing net-new enterprise deals at $100k+ annual contract value.
• Comfort selling a new category, working closely with the founders and our technical team.
• A network among security leaders in financial services or other regulated industries.
• Disciplined qualification using MEDDPICC or similar, and willingness to travel.

Nice to have

• Experience selling for a growing security company.
• Channel or MSSP sales experience.
• A technical background, such as sales engineering.

What you'll do

• Lead technical deployments from first integration to production, with clear plans, owners and success criteria.
• Integrate Refractal with customers' AI agents, copilots, models and security tooling.
• Translate customer policies and regulatory requirements into enforceable controls.
• Help managed security service providers deploy Refractal for their own clients.
• Build connectors and reference implementations, and ship fixes into the core product.

Success in your first six months

• You've taken customer deployments into production that customers rely on day to day.
• Recurring deployment work has become reusable connectors, scripts and documentation.
• Product and engineering decisions reflect what you've learned in the field.

What we're looking for

• 6+ years in software engineering, including 2+ in customer-facing roles such as forward deployed, solutions or technical consulting.
• Strong Python, and confidence across APIs, cloud and identity.
• Hands-on experience building with LLMs and AI agents.
• Calm, clear communication with CISOs, risk leaders and engineers.
• Willingness to travel to customer sites across the UK and Europe.

Nice to have

• Experience in financial services or other regulated industries.
• A background in security engineering or at a security product company.

What you'll do

• Lead technical discovery, demonstrations and evaluations alongside our Account Executives.
• Deploy Refractal into customers' environments and integrate it with their AI agents, models and security tooling.
• Translate customer policies and regulatory requirements into enforceable controls.
• Help managed security service providers deploy Refractal for their own clients.
• Build connectors and reference implementations, and bring US customer patterns back into the roadmap.

Success in your first six months

• Evaluations you led have turned into signed customers.
• Those customers are in production and rely on Refractal day to day.
• Reusable demonstration and deployment assets make the next US deal faster.

What we're looking for

• 6+ years in software engineering, including 2+ in customer-facing roles such as forward deployed, solutions or sales engineering.
• Strong Python, and confidence across APIs, cloud and identity.
• Hands-on experience building with LLMs and AI agents.
• Security experience as a practitioner or at a security vendor.
• Credibility with CISOs and engineers alike, and willingness to travel.

Nice to have

• Experience with US financial services or healthcare customers.
• Pre-sales experience at an early-stage security company.

What you'll do

• Lead technical deployments from first integration to production, with clear plans, owners and success criteria.
• Integrate Refractal with customers' AI agents, copilots, models and security tooling.
• Translate customer policies and regulatory requirements into enforceable controls.
• Run technical discovery, demonstrations and evaluations with the founders.
• Build connectors and reference implementations, and ship fixes into the core product.

Success in your first six months

• You've taken customer deployments into production that customers rely on day to day.
• Recurring deployment work has become reusable connectors, scripts and documentation.
• Product and engineering decisions reflect what you've learned in the field.

What we're looking for

• 5+ years in software engineering, including 2+ in customer-facing roles such as forward deployed, solutions or technical consulting.
• Strong Python, and confidence across APIs, cloud and identity.
• Hands-on experience building with LLMs and AI agents.
• Calm, clear communication with senior stakeholders and engineers.
• Willingness to travel to customer sites across Europe.

Nice to have

• A background in security or regulated industries.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll do

• Research target accounts and partners, and map their buying committees.
• Run multi-channel outbound across calls, email, LinkedIn and events.
• Qualify inbound demo requests and book meetings for our Account Executives and founders.
• Write and test messaging for CISOs, security leaders and compliance executives.
• Improve our outbound playbook and tooling, including sequences, AI-assisted research and CRM hygiene.

Success in your first six months

• A consistent flow of qualified meetings that turn into pipeline.
• Messaging and sequences that are tested, documented and improving.
• A documented, repeatable outbound process the sales team can rely on.

What we're looking for

• 3+ years as an SDR or BDR in B2B software, including 1+ in cybersecurity.
• A consistent record of beating meeting or pipeline targets.
• Confidence cold-calling senior security buyers.
• Quick to learn technical topics, and able to explain AI security risk in plain language.
• Organised CRM habits in HubSpot or Salesforce.

Nice to have

• Enterprise or MSSP prospecting experience.
• Hands-on experience with AI prospecting tools such as Clay or Apollo.

What you'll do

• Lead onboarding and implementation plans with customers' security, risk and AI teams, alongside our Forward Deployed Engineers.
• Act as the technical point of contact: troubleshoot integrations, manage escalations and coordinate fixes with engineering.
• Track adoption and outcomes, and run regular business reviews with customer stakeholders.
• Own renewals and identify expansion opportunities with our Account Executives.
• Turn customer feedback into clear product requirements, and build the playbooks and documentation behind technical account management.

Success in your first six months

• Your customers are live, use Refractal regularly and can point to the value it delivers.
• Escalations are handled quickly and transparently, with fixes tracked to closure.
• You've built a repeatable onboarding and account-review process the team can scale.

What we're looking for

• 5+ years as a technical account manager, customer success engineer or similar in B2B software, ideally security.
• A solid technical grounding in cloud, APIs, identity and SaaS integrations, with working knowledge of AI agents.
• A record of strong retention and expansion across enterprise accounts.
• Composure with senior stakeholders during escalations.
• Clear written and spoken communication.

Nice to have

• Experience with regulated customers in financial services, healthcare or the public sector.
• Familiarity with the EU AI Act, NIST AI RMF or ISO/IEC 42001.

What you'll do

• Lead onboarding and implementation plans with customers' security, risk and AI teams, alongside our Forward Deployed Engineer.
• Act as the technical point of contact: troubleshoot integrations, manage escalations and coordinate fixes with engineering.
• Track adoption and outcomes, and run regular business reviews with customer stakeholders.
• Own renewals and identify expansion opportunities with our Account Executives.
• Turn customer feedback into clear product requirements, and build the playbooks and documentation behind technical account management.

Success in your first six months

• Your customers are live, use Refractal regularly and can point to the value it delivers.
• Escalations are handled quickly and transparently, with fixes tracked to closure.
• You've built a repeatable onboarding and account-review process the team can scale.

What we're looking for

• 5+ years as a technical account manager, customer success engineer or similar in B2B software, ideally security.
• A solid technical grounding in cloud, APIs, identity and SaaS integrations, with working knowledge of AI agents.
• A record of strong retention and expansion across enterprise accounts.
• Composure with senior stakeholders during escalations.
• Clear written and spoken communication.

Nice to have

• Experience with regulated customers in financial services or healthcare.
• Familiarity with AI governance frameworks such as the NIST AI RMF or ISO/IEC 42001.

What you'll do

• Lead technical discovery to understand customers' security priorities, existing tools, data availability and deployment constraints.
• Deliver product demonstrations tailored to the customer's use cases and the questions they need answered.
• Design and run proofs of value with agreed success criteria, realistic scope and a clear account of the results.
• Assess integration readiness, help troubleshoot evaluation issues and coordinate with engineers when deeper product work is needed.
• Support technical due diligence and handovers, documenting requirements, commitments and open questions while bringing customer feedback into product discussions.

Success in your first six months

• You can independently lead technical discovery and demonstrate Refractal clearly to security and engineering audiences.
• You've helped customers complete focused evaluations that provide evidence for a buying decision.
• You've created reusable demonstration materials and handover guidance that improve the customer experience.

What we're looking for

• Experience explaining technical products to customers or working with external stakeholders to solve technical problems.
• Understanding of security operations and how tools, telemetry and workflows fit together in a customer environment.
• Practical ability to work with APIs, inspect data and write scripts to support demonstrations, integrations and troubleshooting.
• Ability to translate a broad customer problem into testable requirements and communicate the outcome clearly.
• Sound judgement about product capabilities, with the confidence to surface limitations, manage expectations and involve the right colleagues.

Nice to have

• Experience in solutions engineering, technical consulting or customer-facing security delivery.
• Familiarity with SIEM platforms such as Splunk and enterprise security evaluations.
• Experience presenting AI or security technology to both technical and business audiences.

What you'll do

• Write and publish technical content, including blog posts, research write-ups, guides and white papers on AI threats and AI security.
• Turn customer work and research findings into case studies and launch stories.
• Build sales enablement materials: decks, one-pagers, battle cards and email copy.
• Run campaigns, webinars and events with sales and partners across the UK and Europe.
• Manage our website, LinkedIn presence and newsletter, and measure what drives pipeline.

Success in your first six months

• We publish on a steady cadence, and security buyers read, share and cite our content in sales conversations.
• Sales has current, consistent materials for every stage of the cycle.
• Marketing-sourced pipeline is tracked and growing.

What we're looking for

• 5+ years in content or product marketing at a B2B technology company, ideally in security or developer tools.
• Exceptional writing, with the ability to explain a technical topic clearly without oversimplifying it. Please include two or three samples with your application.
• Comfort working with engineers and researchers to get the details right.
• Experience running campaigns end to end and tying them to pipeline.
• Hands-on experience with HubSpot or similar, and with AI tools in your own workflow.

Nice to have

• A technical or security background.
• An audience you've built through writing or speaking.

What you'll do

• Write and publish technical content, including blog posts, research write-ups, guides and white papers on AI threats and AI security.
• Turn customer work and research findings into case studies and launch stories.
• Build sales enablement materials: decks, one-pagers, battle cards and email copy.
• Run campaigns, webinars and events with sales and partners across the Western Balkans and Europe.
• Manage our website, LinkedIn presence and newsletter, and measure what drives pipeline.

Success in your first six months

• We publish on a steady cadence, and security buyers read, share and cite our content in sales conversations.
• Sales has current, consistent materials for every stage of the cycle.
• Marketing-sourced pipeline is tracked and growing.

What we're looking for

• 5+ years in content or product marketing at a B2B technology company, ideally in security or developer tools.
• Exceptional writing in English, with the ability to explain a technical topic clearly without oversimplifying it. Please include two or three samples with your application.
• Comfort working with engineers and researchers to get the details right.
• Experience running campaigns end to end and tying them to pipeline.
• Hands-on experience with HubSpot or similar, and with AI tools in your own workflow.

Nice to have

• A technical or security background.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll do

• Design core workflows, including policy authoring, real-time triage, investigations and audit reporting.
• Turn dense technical data, such as agent activity, detections and evidence, into clear, fast interfaces.
• Build and maintain our design system in Figma, and work with engineers to ship it in React.
• Run research with security analysts, compliance leads and engineers at customer organisations.
• Shape our brand and website visuals with our content and marketing lead.

Success in your first six months

• Core console workflows have been redesigned, shipped and measurably improved for analysts.
• A design system is in use across the product, with engineers building from it directly.
• Customer research is a regular input to product decisions.

What we're looking for

• 5+ years of product design for B2B or technical products, with a portfolio of shipped work linked in your application.
• Strong interaction and visual design, with expert Figma skills in components, variants and prototyping.
• Experience designing data-heavy tools such as dashboards, consoles, and developer or security products.
• Comfort working directly with engineers, with a good grasp of front-end constraints.
• Confident use of AI tools in your own design workflow.

Nice to have

• Design experience on security, observability or compliance products.
• Front-end prototyping in code.

What you'll do

• Design core workflows, including policy authoring, real-time triage, investigations and audit reporting.
• Turn dense technical data, such as agent activity, detections and evidence, into clear, fast interfaces.
• Build and maintain our design system in Figma, and work with engineers to ship it in React.
• Run research with security analysts, compliance leads and engineers at customer organisations.
• Shape our brand and website visuals with our content and marketing team.

Success in your first six months

• Core console workflows have been redesigned, shipped and measurably improved for analysts.
• A design system is in use across the product, with engineers building from it directly.
• Customer research is a regular input to product decisions.

What we're looking for

• 5+ years of product design for B2B or technical products, with a portfolio of shipped work linked in your application.
• Strong interaction and visual design, with expert Figma skills in components, variants and prototyping.
• Experience designing data-heavy tools such as dashboards, consoles, and developer or security products.
• Comfort working directly with engineers, with a good grasp of front-end constraints.
• Fluent written and spoken English.

Nice to have

• Design experience on security, observability or compliance products.
• Front-end prototyping in code.
• Montenegrin, Serbian, Bosnian or Croatian.

What you'll do

• Scope projects with the founders, define the decision or outcome needed, and establish a practical plan with clear owners, milestones and dependencies.
• Research markets, customers and competitors, combining evidence into concise recommendations that help the team decide where to focus its time and resources.
• Support commercial execution through account research, opportunity analysis and preparation for important conversations, working closely with the people responsible for those relationships.
• Support agreed recruiting priorities through candidate research, hiring materials and process improvements that help colleagues make timely, well-informed hiring decisions.
• Improve operational workflows where there is a clear business need, then document the approach and establish ownership so improvements last beyond the project.

Success in your first six months

• You've delivered a set of agreed priority projects, with clear evidence of the decisions enabled, work completed or time saved.
• You've built trust with the founders and colleagues through sound judgement, useful analysis, reliable follow-through and early communication when priorities or assumptions change.
• You've left behind practical processes and documentation that colleagues can use independently, with clear handovers and no unnecessary administrative burden.

What we're looking for

• Strong analytical judgement: you can frame an ambiguous question, find relevant evidence and explain a practical recommendation.
• Evidence of taking a project from an unclear starting point through to a useful, completed outcome.
• Clear, concise writing and confident communication with people across different functions.
• Strong organisation, attention to detail and discretion when handling sensitive commercial or people information.
• Comfort changing direction while keeping scope, priorities and commitments explicit.

Nice to have

• Experience working in an early-stage company, consulting, investing or another varied, execution-focused environment.
• Familiarity with commercial research, recruiting projects or operational process improvement.
• An interest in cybersecurity, AI and the organisations that depend on secure technology.

What you'll do

• Run day-to-day finance operations with our accountants, including invoicing, supplier payments, expenses, payroll inputs, month-end close and the reporting the founders and board rely on.
• Own people operations from offer to first day: contracts, payroll and benefits setup, visa and relocation logistics, equipment and system access, and an onboarding plan that helps new joiners contribute quickly.
• Coordinate legal and compliance administration with our advisers, including contract workflow, company and statutory filings, insurance, and the evidence needed for security certifications and customer due diligence.
• Keep policies, payroll and suppliers consistent across our London, Podgorica and United States teams while meeting local requirements in each country.
• Select, set up and maintain the internal tools and suppliers the company depends on, with clear costs, access and ownership.
• Manage the office, travel and events, including logistics for customer visits, conferences and team gatherings.

Success in your first six months

• Finance, payroll and onboarding run on a predictable schedule, with clear owners and no surprises at month-end.
• New joiners in every location have their contract, equipment, access and first-week plan ready before they start.
• You've documented the core operating processes and taken routine administration off the founders, and colleagues know who owns what and where to find it.

What we're looking for

• Experience running operations at a growing company, ideally an early-stage technology business, with ownership of several functions rather than one.
• Working knowledge of UK finance operations, payroll and employment administration, and the confidence to learn how they work in other countries.
• Strong organisation and attention to detail, with a record of keeping many workstreams moving without dropping commitments.
• Clear, concise writing and confident communication with colleagues, advisers, suppliers and candidates.
• Discretion and sound judgement when handling confidential financial, legal and personal information.

Nice to have

• Experience supporting a company with teams in more than one country, including visas and international payroll.
• Familiarity with security certifications such as Cyber Essentials Plus or ISO 27001, or with supplier onboarding for government and regulated customers.
• Experience with finance and HR platforms such as Xero, Deel or Rippling.
• An interest in cybersecurity, AI and the organisations that depend on secure technology.