Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Proactive Threat team identifies, detects, and responds to threats before they impact Stripe's business or users. The Detection Engineering & Threat Hunting function sits at the intersection of offense and defense — we leverage deep knowledge of attacker tradecraft to build high-fidelity detections, hunt for sophisticated threats, and validate defensive capabilities across Stripe's critical systems.

We are builders first. Our team develops detection-as-code, automates analysis workflows, and builds tooling that scales detection and response across a complex, global environment. We partner closely with Threat Intelligence, Incident Response, and offensive security teams to ensure our detections are grounded in real-world adversary behavior.

The team is distributed across the United States (Eastern and Pacific time zones) and collaborates regularly with stakeholders across Stripe — including teams in Europe and Asia.

What you'll do

You will design, build, and maintain detections that identify malicious activity across Stripe's infrastructure, applications, and cloud environments. You'll leverage your understanding of attacker TTPs — from initial access through exfiltration — to develop detection logic that catches real threats while minimizing noise. Beyond writing detections, you'll conduct threat hunts, perform malware analysis, and build automation that enables detection engineering at scale.

Responsibilities

• Design, build, and tune high-fidelity detections across modern SIEM platforms, covering adversary TTPs across the full attack lifecycle
• Develop detection hypotheses by researching TTPs, identifying evidence sources, and determining detection opportunities across available telemetry
• Conduct hypothesis-driven threat hunts to identify malicious activity, uncover detection gaps, and validate security controls
• Perform malware analysis and reverse engineering to extract indicators and inform detection strategies
• Build network-based detections (flow, pcap, protocol analysis) and endpoint-based detections (event logs, EDR telemetry, memory/file artifacts) across Windows, Linux, and macOS
• Partner with Threat Intelligence to operationalize intel reports into detections, hunting leads, and enrichment logic
• Collaborate with IR, SOC, and offensive security teams to validate and refine detections based on real-world incidents and red team exercises
• Build data pipelines, automation, and tooling that enable detection-as-code practices and scalable deployment
• Map detection coverage to MITRE ATT&CK, identifying and prioritizing gaps across key attack surfaces
• Lead projects, mentor teammates, and champion quality standards within the team

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience in detection engineering, threat hunting, or security operations
• Demonstrated experience writing detection logic in modern SIEM platforms (e.g., Splunk, Chronicle, Elastic, CrowdStrike NG-SIEM, Panther, Microsoft Sentinel)
• Strong understanding of adversary tradecraft across the attack lifecycle: initial access, privilege escalation, lateral movement, defense evasion, persistence, and exfiltration
• Ability to extract TTPs from threat intelligence reports and translate them into detection opportunities
• Experience developing network-based and endpoint-based detections across multiple OS platforms (Windows, Linux, macOS)
• Experience analyzing telemetry across endpoint, network, cloud (AWS/GCP/Azure), identity, and application log sources
• Proficiency in detection/query languages (SPL, KQL, EQL, YARA-L, SQL) and programming (Python or similar)
• Strong communication skills with the ability to document detection logic and explain findings to technical and non-technical audiences
• Adversarial mindset — understanding how attackers operate to build detections that catch real-world threats

Preferred qualifications

• Experience in detection engineering or threat hunting within fintech, financial services, or highly regulated environments
• Background in malware analysis, reverse engineering, or threat research
• Experience with purple team operations — collaborating with offensive security to validate detections
• Familiarity with big data platforms (Databricks, Trino, PySpark) for large-scale log analysis
• Proficiency with AI/LLM-assisted development tools (Claude Code, Cursor, GitHub Copilot) applied to detection workflows
• Interest in agentic automation — using LLMs to augment hunting, tuning, or triage
• Experience with detection validation tools (Atomic Red Team, ATT&CK Evaluations)
• Contributions to open-source detection content, research, or conference presentations
• Relevant certifications such as HTB CDSA, GCIH, GCFA, GNFA, OSCP, TCM PMAT, or GREM

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Proactive Threat team is responsible for identifying vulnerabilities and security weaknesses across Stripe's systems, applications, networks, and cloud infrastructure — before adversaries do. We operate as a hybrid offensive function: conducting penetration testing, emulating real-world threat actors through red team operations, and partnering closely with our defensive security teams to validate detection capabilities and improve Stripe's overall security posture.

We are builders first. Our team develops custom tooling, automation frameworks, and internal platforms that scale our offensive capabilities and enable repeatable, high-fidelity assessments. We believe the best offensive security engineers are equal parts hacker and engineer.

The team is distributed across the United States, primarily operating in Eastern and Pacific time zones, and collaborates regularly with security, engineering, and product stakeholders across Stripe — including teams in Europe and Asia.

What you'll do

As an Offensive Security Engineer on the Proactive Threat team, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe's products and infrastructure. You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Beyond assessments, you'll design and build offensive tooling and automation that amplifies the team's impact. You'll leverage threat intelligence to prioritize testing efforts, contribute to incident investigations when needed, and act as a subject-matter expert for security initiatives across the company.

Responsibilities

• Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure
• Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios
• Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams
• Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity
• Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks
• Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required
• Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage
• Build internal platforms and workflows that enable scalable, repeatable offensive operations
• Contribute to internal security tooling repositories and champion engineering best practices within the team
• Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices
• Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders
• Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives
• Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing
• Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience in offensive security, penetration testing, red teaming, or a related field
• Strong programming skills in Python, Go, or similar languages, with demonstrated experience building tools, automation, or custom exploits
• Deep knowledge of web application security, including OWASP Top 10, ASVS, and common vulnerability classes (injection, auth flaws, business logic, etc.)
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), including cloud-native attack techniques and misconfigurations
• Proficiency with offensive tooling such as Burp Suite, Cobalt Strike, Mythic, Sliver, BloodHound, or similar frameworks
• Familiarity with adversary tradecraft and frameworks such as MITRE ATT&CK, including TTPs for initial access, privilege escalation, lateral movement, and exfiltration
• Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, risk-based recommendations
• Ability to think like an adversary — creative, persistent, and able to holistically assess risk in complex environments

Preferred qualifications

• Experience conducting offensive security in fintech, financial services, or other highly regulated environments
• Background in vulnerability research, exploit development, or CVE discovery
• Experience collaborating with threat intelligence, detection engineering, or incident response teams (purple team operations)
• Familiarity with big data and log analysis tools (Splunk, Databricks, PySpark, osquery, etc.) for threat hunting or investigative support
• Proficiency with AI/LLM-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and experience applying them to offensive security workflows
• Interest or experience in agentic automation — using LLMs or autonomous agents to augment reconnaissance, vulnerability discovery, or exploitation workflows
• Experience testing AI/ML systems or LLM-based applications for security weaknesses (prompt injection, training data extraction, model manipulation, etc.)
• Contributions to open-source security tools, published research, blog posts, or conference presentations
• Relevant certifications such as OSCP, OSWE, OSEP, OSED, CRTO, CPTS, PNPT, GXPN, or cloud security certifications

Software Engineer III, BE/FS

About Us:

Rent the Runway (RTR)  is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most influential people in the world and as one of People magazine’s “Women Changing the World.”

Galway Office 

Rent The Runway established its European Technology Hub in Galway in April 2019.  Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

About the Role:

We are looking for a Back End/Full Stack Engineer who values creativity and user experience as much as great code and curiosity. As an engineer on the Consumer Retention team, you will work with an enthusiastic team of engineers focused on the stages of the customer journey across multiple devices and surfaces, increasing customer loyalty and reducing subscription churn. We manage loyalty platform, membership, personalisation, add-ons, and customer promise to build world-class experiences for an eager and passionate customer base, from their first visit to their first order! Our team works in an agile environment, building high-quality, performant software while solving high-impact and complex problems

What You’ll Do:

• Participate in all aspects of agile software development, including design, implementation, and deployment.
• Develop clean, testable, scalable systems using Java, Kotlin, Dropwizard, SpringBoot, Redis, MongoDB, RabbitMQ, Spring Boot, Splunk, MySQL and other open source technologies.
• You’ll build intuitive and well-tested APIs for manipulating & retrieving data.
• You will optimise for performance and scalability.
• Drive technical projects to success in a fast-paced startup environment.
• You’ll deprecate and remove functionality & services that no longer suit our needs.
• Find architectural improvements to enable rapid growth in traffic and order volumes while continuously improving developer productivity.
• Work with business stakeholders to identify software solutions to business challenges.
• Assist in prioritisation efforts, planning future roadmaps, and provide mentorship to others.

About You:

BA/BS in Computer Science, a related degree, or 4+ years of practical experience.

• You have hands-on, production-level experience across significant parts of our technology stack: 
• Backend: Java, Kotlin, SpringBoot, RabbitMQ, MySQL, MongoDB.
• Frontend: ReactJS, Next.js.
• You have experience and enthusiasm for testing, test-driven development, and building reliable systems.
• You have a strong command of best practices, design patterns, and system architecture tradeoffs.
• You can hit the ground running and quickly familiarize yourself with an existing codebase and toolset.
• You have experience with distributed system performance analysis and optimisation.
• You can understand, diagnose, and articulate technical challenges and solutions effectively.
• You have a high level of comfort navigating ambiguity and making the tradeoffs without compromising quality.
• You're a collaborative partner who thrives in a cross-functional environment, working closely with product, design, and engineers across various tech stacks to build cohesive, high-impact solutions.

AI/LLM Proficiency

• You are proficient in deploying a diverse stack of LLMs (Gemini CLI, Claude) and AI-native IDEs (Cursor, Windsurf, Copilot) to automate and elevate professional workstreams.
• You have expertise in prompt engineering, focusing on high-density context provision to minimise hallucinations and maximise model accuracy.
• You are skilled in defining AI behaviour through structured system prompts and custom agent configurations for predictable, high-quality output.
• You have a deep understanding of the AI ecosystem, including Model Context Protocol (MCP), API connectors, and the design of autonomous agentic loops.
• You can proactively identify high-impact areas for AI integration to drive measurable gains in operational efficiency and output volume.

Benefits:

At Rent the Runway, we’re committed to the happiness and well-being of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to:

• Generous Paid Time Off, including annual leave, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
• Universal Paid Parental Leave for both parents + flexible return to work program  - because we know your newest family member(s) deserve your undivided attention.
• Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun.
• Competitive Stakeholder Pension - taking care of your future. 
• Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first, and we’ve got you covered. 
• Company-wide events and outings - our team spirit is no joke - we know how to have fun!
• Hybrid Work -This hybrid role requires 2-3 days per week in our Galway, Ireland office, with the option to work 2 days remotely.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally recognised basis, including, but not limited to: gender, marital status, family status, age, disability, sexual orientation, race, religion, and membership of the Traveller community.

#LI-EM1

See yourself at Twilio

Join the team as Twilio’s next Security Engineer, Security Automation on Twilio’s Information Security Team.

About the job

This position is needed to assist Twilio’s Information Security Team operate more efficiently by improving and automating our critical security workflows.

As a Software Engineer, Security Automation on this team, you will participate in all phases of the software development life cycle which includes requirements gathering with security teams, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. You will own, operate and maintain automated workflows that support various security programs including but not limited to cloud security, product security, Governance, Risk & Compliance (GRC)  and enterprise security, employing Agile methodologies to continuously deliver value to our partners.

Responsibilities

In this role, you’ll:

• Develop and implement automated and AI-powered security solutions to protect Twilio's Cloud and Enterprise infrastructure, leveraging data orchestration frameworks and LLM-based approaches.
• Build workflows that integrate structured and unstructured data sources into orchestrated pipelines, enabling intelligent decision-making and risk reduction at scale.
• Design and prototype LLM-driven applications to automate security analysis, incident response, and governance tasks, while ensuring explainability and accuracy.
• Collaborate with cross-functional teams to identify security needs and deliver advanced AI-enabled solutions that address those needs effectively.
• Contribute significantly to defining our security automation and AI roadmap, balancing near-term and long-term business impact with technical feasibility and scalability.
• Own and maintain the operational health of automation and AI-driven systems, ensuring they continue to meet reliability and performance requirements (SLOs and KPIs).
• Support on-call operations for tools, pipelines, and AI models owned by the team.
• Document and share knowledge through clear technical documentation of processes, procedures, AI models, and orchestration systems.
• Stay up-to-date on emerging trends in security automation, data orchestration, and AI/LLMs—and apply them to Twilio’s security operations for continuous innovation.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale
• Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows
• Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security processes and build intelligent solutions
• Solid understanding of software security principles, secure coding practices, and security automation
• Experience with data orchestration frameworks (e.g., Airflow, Dagster, Prefect) to manage and scale automation pipelines
• Familiarity with infrastructure-as-code (Terraform), CI/CD systems (BuildKite or similar), and container orchestration platforms (Kubernetes, Docker)
• Strong problem-solving, communication, and collaboration skills, with the ability to iterate quickly on feedback and work across security and engineering teams

Desired:

• Experience with Security Orchestration, Automation, and Response (SOAR) technologies and practices, with a focus on scaling automated incident response
• Proven ability to design and implement security automation frameworks that enable rapid delivery of reliable, reusable, and scalable automated solutions
• Strong interest in or hands-on experience with building and applying AI/ML models (including LLMs) to automate complex workflows in cybersecurity, compliance, or infrastructure operations
• Ability to bridge AI/automation capabilities with security strategy, driving adoption of next-generation solutions across cloud and enterprise environments
• Passion for continuous innovation in leveraging orchestration, automation, and AI to solve real-world security challenges

Location

This role will be remote, and based in Ireland.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

See yourself at Twilio

Join the team as Staff Engineer, Offensive Security

About the job

The Staff Engineer acts as a Technical Lead. You don't just find bugs; you design complex attack chains that demonstrate systemic risk. You spend as much time writing custom code and researching new bypasses as you do executing tests.

Responsibilities

In this role, you will:

• Full-Stack Penetration Testing: Perform manual and automated testing of web applications, APIs, and mobile apps (iOS/Android).
• Internal/External Network Audits: Conduct network and cloud level assessments with various tooling
• Vulnerability Validation: Triage and validate reports from automated scanners or bug bounty hunters to eliminate false positives and escalate true positives
• AI/LLM Probing: Perform initial prompt injection and jailbreak tests on AI prototypes, services, and applications using established checklists (OWASP Top 10 for LLMs).
• Technical Reporting: Draft high-quality reports that detail the "path to compromise" with clear, reproducible steps for developers.
• Tool Maintenance: Manage and update the team's testing infrastructure (e.g., Burp Suite, and basic C2 listeners).
• Remediation Support: Provide direct technical guidance to engineering teams on how to patch vulnerabilities like XSS, SQLi, and IDOR.
• Adversary Emulation: Design and lead multi-week Red Team operations that mimic specific threat actors (APTs) to test the SIRT detection capabilities.
• Custom Exploit Development: Build custom payloads, droppers, and obfuscated scripts to bypass EDR/AV and maintain stealth.
• AI Red Teaming Architecture: Build automated testing frameworks for AI systems (e.g., using PyRIT, Promptfoo, or Garak) to test for models related to sensitive data leakage.
• Cloud & Infrastructure Attacks: Execute sophisticated attacks against AWS/Azure/K8s, focusing on IAM misconfigurations and container escapes.
• Purple Teaming: Collaborate with SIRT and Detection Engineering to tune SIEM alerts based on the techniques used during an engagement.
• Strategic Bug Bounty Management: Oversee the organization's bug bounty program, identifying trends in submissions to suggest broad architectural security changes.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Experience: 7-10 years in offensive security, penetration testing, a high-volume bug bounty background, AppSec, or vulnerability exploitation, and track record of finding high/critical vulnerabilities in complex environments using pentesting commercial or custom tools.
• Concepts: Expert Knowledge and  solid understanding of the MITRE ATT&CK matrix and the OWASP Top 10 for web applications and top 10 for LLMs, post exploitation (lateral movement, persistence, data exfiltration) and Adversarial ML.
• Tooling: Proficient in OffSec popular tools like Burp Suite professional, Nmap, Metasploit, Wireshark etc... and AI security tools such as LangChain, TensorFlow for adversarial testing or, as well as use of C2 frameworks (Cobalt Strike, Sliver, Havoc) or similar tools
• Scripting and Coding: Ability to write functional scripts in Python or Bash to automate repetitive testing tasks and proficiency in coding and scripting like Python, C++, and scripting for creating custom offensive exploits that avoids signature-based detection.
• Certifications: Possession of advanced industry certifications such as OSCP, OSEP, OSWE, GXPN or similar training in OffSec tracks is highly desirable

Desired:

• Telecom expertise is preferred
• Excellent written and verbal communication skills.
• Ability to influence and build effective working relationships with all levels of the organization.
• Proficiency in multiple languages applicable to the region.

Location

This role will be Remote, and based in Ireland

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

See yourself at Twilio

Join the team as Twilio’s next Transfer Pricing Manager.

About the job

Twilio is looking for an Transfer Pricing  Manager  located in Ireland to join our global tax team.  As the Global Transfer Pricing Manager at Twilio, you will be an architect and guardian of our intercompany transaction framework. In a high-growth, cloud-communications environment, our value chain is complex—spanning R&D, digital infrastructure, and global sales. You will ensure that our global operations are compliant, tax-efficient, and aligned with the latest OECD guidelines and local regulations.

You aren't just a "compliance checker"; you are a strategic partner who understands how code, data, and communication APIs translate into taxable value across borders.  

 Our ideal candidate is a highly motivated and collaborative individual with transfer pricing experience and an eagerness to learn in an AI native environment . We aren’t just "filing forms"; we are building a scalable, AI-native tax infrastructure that supports a company moving at the speed of the cloud. You will have the autonomy to design processes from scratch—moving away from manual data entry toward high-value strategic analysis enabled by the latest AI tools.

Responsibilities

In this role, you’ll:

• Lead the charge in integrating AI and automation into our transfer pricing workflow. This includes automating benchmark searches, using AI for draft local file narratives, and building "self-service" intercompany models.
• Oversee the end-to-end global transfer pricing lifecycle, including the preparation and review of Master Files, Local Files, and Country-by-Country Reporting (CbCR).
• Lead the operational transfer pricing process—setting, monitoring, and adjusting intercompany prices throughout the year to ensure legal entities hit target profitability as well as ensure that the quarterly close calculations are robust and accurate.
• Document complex intercompany transactions and develop robust policies for the valuation of intangible assets (IP), know-how, and customer relationships.
• Manage global transfer pricing audits and controversy matters, acting as the primary point of contact for external advisors and tax authorities.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Bachelor’s degree in Accounting, Economics, Finance, or Law. CPA, CTA, or JD/LLM in Tax is highly preferred. 
• 5+ years of dedicated transfer pricing experience in Big 4 public accounting or a high-growth US multinational corporation
• Working knowledge of Oracle Fusion or similar ERP/ EPM
• Must be proficient with Microsoft Excel/Office.

Desired:

• Familiarity with tax technology software & AI tools  is beneficial.

Location

 This role will be remote, and based in Ireland

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.

As Senior Principal Software Engineer and Senior Architect, you will be one of the most senior technologists at Toast, setting the technical vision and architectural direction for the pod while remaining hands-on in its most ambitious work. You'll define how AI-native engineering is done at Toast and spread those patterns across the organization.

A day in the life (Responsibilities)

• Develop and drive the architectural vision for AI Pod, establishing patterns for AI-native development that scale across Toast engineering
• Be an active participant and authoritative technical voice in cross-organizational strategy and architecture discussions
• Lead the pod's most complex, high-impact initiatives from design through production — staying hands-on throughout
• Evolve agentic development practices within the pod and champion their adoption across Toast
• Work closely with other Senior Principal Engineers and technical leaders across Toast to advance the overall architecture
• Mentor and develop technical leadership within the pod and across teams
• Partner with engineering leadership and product to translate strategic goals into executable technical plans

What you'll need to thrive (Requirements)

• 12+ years of experience designing and building highly scalable, mission-critical distributed software systems
• 10+ years of experience building and operating SaaS products, ideally AWS-hosted
• Demonstrated ability to drive architectural vision for a company, line of business, or highly scalable platform
• Deep experience building, deploying, and operating LLM-powered agents and AI-native systems
• 1+ years of hands-on experience using the latest AI coding agents with a strong desire to go all-in on agentic development practices
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Ability to move fluidly between whiteboard architecture and understanding the ebb and flow of code under load
• Ability and desire to communicate and influence at the executive level

What will make you stand out

• Experience managing or leading a small engineering team (2-4 engineers)
• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Senior Software Engineer on this team, you'll be hands-on building full-stack across the systems other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

A day in the life (Responsibilities)

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
• Contribute full-stack across backend services and frontend or developer-facing interfaces as needed
• Write high-quality, well-tested code and participate in design and code reviews
• Partner closely with product management to shape feature requirements, contribute to roadmap discussions, and translate product vision into reliable technical solutions

What you'll need to thrive (Requirements)

• 5+ years of experience designing and implementing scalable software systems, with a full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• Experience with distributed systems, REST APIs, and cloud-native infrastructure
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Principal Software Engineer, you'll set the technical direction for how we design, build, and evolve these systems, working full-stack across the agentic workflows that employees across Toast depend on every day. This role is for someone who can drive architecture, raise the engineering bar across the team, and stay hands-on building.

A day in the life (Responsibilities)

• Define and drive the technical architecture for AI Foundations platform, spanning backend services, frontend tooling, and third party integrations
• Lead full-stack design and delivery across the LLM proxy, AI key management, observability pipelines, and internal plugin marketplace
• Architect and deliver autonomous agents and MCP services that participate in the software development lifecycle
• Set and uphold engineering standards across the team: code quality, system design, testing, and operational practices
• Mentor and technically lead engineers across all levels through design reviews, code reviews, and pairing
• Partner with product and platform leadership to shape the AI Foundations roadmap and translate strategy into executable technical plans
• Collaborate closely with designers and product teams to translate UX concepts into polished, production-ready frontend experiences
• Serve as a key technical voice in cross-team discussions, representing AI Foundations in architecture decisions across Toast engineering

What you'll need to thrive (Requirements)

• 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience leading technical architecture for a platform, product, or engineering team
• Proven ability to mentor engineers and raise the technical bar of a team through standards, reviews, and hands-on guidance
• Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
• Experience with MCP, tool use patterns, or agentic frameworks
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies, with demonstrated experience building user-facing product interfaces
• Comfort with a rapidly changing technical landscape and a bias towards action over analysis paralysis

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms or internal tooling
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

**This role requires a minimum of two days per week in our Dublin office**

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.

As a Principal Software Engineer, you'll work full-stack across ambitious, cross-cutting initiatives, bringing deep technical expertise and architectural judgment to some of the hardest problems at Toast.

A day in the life (Responsibilities)

• Lead full-stack design and delivery of AI-native solutions that address complex, cross-functional problems across Toast
• Drive technical architecture for pod initiatives, from backend services and APIs to frontend and developer-facing interfaces
• Build and integrate LLM-powered agents, tools, and workflows that bring AI capabilities directly into product and platform contexts
• Set and uphold engineering standards within the pod: code quality, system design, testing, and operational practices
• Mentor engineers through design reviews, code reviews, and pairing
• Partner with stakeholders across Toast engineering to define problem scope, align on approach, and deliver outcomes
• Serve as a technical voice in cross-team architecture discussions, connecting pod work to broader Toast engineering patterns

What you'll need to thrive (Requirements)

• 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience leading technical architecture for a platform, product, or engineering team
• Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Strong prompt engineering skills and intuition for how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• A bias towards action and comfort operating in ambiguous, rapidly evolving problem spaces

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms or internal tooling
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-Hybrid
#BI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

About CitySwift
CitySwift is the world’s leading performance optimisation platform for public transport, enabling data-driven decision-making for some of the largest transport networks globally. Backed by over €15 million in venture capital funding, we partner with major public transport operators and government authorities, including Go-Ahead Group, Transport for London, and many more. CitySwift is experiencing accelerated growth, with 117% year-over-year revenue growth in 2025.

Our mission is to increase the adoption of sustainable public transport worldwide. Today, our platform optimises more than 3 billion passenger journeys annually, and our target is to reach 10 billion journeys by the end of 2026.

At CitySwift, you’ll have the opportunity to take ownership, make a measurable impact, and grow professionally as part of a collaborative, mission-driven team. Join us in shaping the future of public transport by driving the next phase of CitySwift’s growth.

How we work
CitySwift is headquartered in Ireland, with our second office hub in London. We also have team members based in Australia, Singapore and across parts of the EU.
Hybrid working is the default in Ireland (with some exceptions), with remote and hybrid options across the UK and beyond. All roles have core hours of 10am to 4pm, giving you flexibility around how you structure your day. Collaboration really matters to us, with quarterly and bi-monthly meet-ups depending on your department or area of work, but we’re sensible about it – we won’t ask you to come into the office to tick a box. Our offices are designed for proper collaboration (and are dog friendly!).
We also believe trust and rest matter. Annual leave starts at 25 days, and our work abroad programme gives you the option to work from another country for up to six weeks. We move fast, expect a lot from each other and back people to do their best work.

The role
We are looking for a Senior Product Manager to own a meaningful product area end to end. You will shape strategy, uncover the highest-value customer problems, and work closely with Engineering, Design, Data Science, Customer teams, and leadership to deliver outcomes that matter. This is a senior individual contributor role for someone who brings clear product judgment, strong discovery habits, and the ability to turn ambiguity into momentum. The role is not just about roadmap management. It is about identifying where CitySwift can create differentiated value, using AI where it genuinely improves customer outcomes or team effectiveness, and raising the quality of decision-making across the product development lifecycle. The best candidates will be comfortable operating at the intersection of product, design, data, and go-to-market. They will know when to go deep on user experience, when to challenge assumptions with evidence, and when to use new AI-native tools and workflows to move faster without compromising quality.

What you’ll own
This is a role with real responsibility and autonomy. You’ll own outcomes, make decisions and help shape how we work as we scale, in an environment that values respect, directness and good intent. 
This role will: 

Key skills

Nice to have

• Experience in mobility, transport, optimisation, analytics, or other data-rich operational software domains.
• Experience building products for expert users in complex B2B environments.
• Experience working with machine learning, optimisation, or decision-support products.
• Experience mentoring other product managers or helping improve product practices across a team

What you’ll get at CitySwift

• A role with real scope, where your impact is visible, your salary is reviewed as we grow, and there are career progression opportunities as the company scales and internationalises.
• Comprehensive health and life insurance through Laya Healthcare in Ireland and Aviva in the UK.
• Flexible working with hybrid working as the default in Ireland, core hours of 10am to 4pm, remote options depending on role and a work abroad programme of up to 6 weeks.
• 25 days annual leave from day one, increasing by half a day per year of service, plus company days off, a half day before public holidays and an end of year shutdown.
• Enhanced family leave, including 6 months fully paid maternity leave and 3 weeks paid paternity leave after 18 months’ service (and wedding leave!)
• And on top of all of this, the usuals done well. A matching pension scheme that increases with service, paid sick leave, bike to work scheme, wellbeing supports, and an employee referral programme with rewards of up to €4,000 (or equivalent) per referral.

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

SEAR at Toast focuses on two things: actionable intelligence collection, analysis, and delivery to engineers, and hunting the adversaries who would damage and defraud Toast, its customers, and its partners. We bake security into every layer of our products, from the first sprinkle of an idea to the final serving of a fully-baked solution. Our team is tasked with searching out and degrading the operations of persistent, motivated attackers.

Like master chefs, we blend cutting-edge technology with strategic thinking, implementing bespoke and industry-standard solutions for intelligence processing at scale. By joining SEAR, you'll be part of the kitchen crew that keeps our customers' trust from going stale. You'll tackle complex challenges that have real-world impact, helping to serve up a safer, more secure digital experience for businesses that count on Toast every day. It's not just about pattern-matching  – it's about crafting a recipe for digital trust that keeps our customers coming back for more.

A day in the life (Responsibilities)Select, implement, design, and build services and tools to manage and deliver security intelligence across Toast platforms.

• Identify, triage, and provide remediation guidance for application vulnerabilities, with a specific focus on anti-abuse activities.
• Improve developer tooling and adoption to build a more robust SSDLC which integrates security and anti-abuse features.
• Practice a #OneTeam attitude to help other Toast teams make informed, security-conscious decisions when building new public-facing software.
• Assist incident response teams with application security expertise and tools, especially related to abuse and fraud.
• Build threat models on Toast applications and use cases.
• Guide in the design and maintenance of robust and resilient network and application architecture.
• Collaborate to improve information gathering and sharing across all Toast products.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• 5+ years experience working in software development
• Minimum 5+ years of experience in application security and security engineering.
• Experience building and maintaining scaled Java web services in production.
• Experience developing script applications in Python for scheduling and backend data handling.
• Experience leveraging LLM AI features for software development and/or security operations.
• Strong understanding of cloud application architecture.
• Successful history of being a subject matter expert to guide colleagues toward better security outcomes, especially related to abuse, fraud and legal concerns.
• Previous security experience working with fintech applications and associated requirements.
• Strong understanding of privacy, security, and cryptography patterns and when to apply them, especially when handling customer information (such as PKIs, access management, data tokenization, and anonymization).

**This role requires two days per week in our Dublin office**

Nonessential Skills/Nice to Haves

• Offensive security training and certifications (e.g. OSCP, OSWE, OSEP)
• Edge Security solution like WAF, API Security
• Adversary Emulation proficiency (red/purple teaming)
• Cloud and container security technologies
• SSDLC tooling (e.g., SAST/DAST/SCA)
• Scaled data handling in RDBMS, streaming, and columnar stores
• Metrics and charting software proficiency
• Mobile apps/threats (iOS, Android), and their particular abuse vectors
• Knowledge in security of operating systems, networking and protocols
• Securing financial technologies and associated requirements

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need through forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year and integrates with essential tools like Slack, Zapier, and HubSpot.

About the role

We are looking for a Senior Product Manager to own and evolve Integrations, the surface that connects every Typeform experience to the tools customers use to run their business.

Integrations is where Typeform stops being a destination and becomes part of the customer’s stack. Every response captured can flow into a CRM, a marketing tool, a database, a chat, or a spreadsheet, wherever the next step happens. That layer needs to be deep, dependable, and easy to extend, at the scale of 500 million responses a year for 150,000 businesses across the long tail of tools they rely on. It has to be reliable, observable, secure, and able to scale as customer stacks become more sophisticated.

In this role, you will own Integrations end to end. You will evolve the platform while partnering with Automations and Typeform AI to make the integrations layer the substrate for both customer configured and agentic workflows.

Your work will define how Typeform plugs into the rest of the SaaS world for tens of thousands of customers, and how AI agents take action through it.

About the team

The Integrations team owns the layer that connects Typeform to the broader SaaS ecosystem: the connectors, auth flows, the action catalog, and the partner experience that makes it all work. Hundreds of millions of integration calls flow through this surface every year.

The team sits inside the Workflow Automations group alongside Automations, and works closely with Data Capture upstream, as well as with the Partnerships team and external partners across the long tail of tools customers rely on.

Things you will do

• Own both data out and data in integrations end to end, and drive the strategy in line with the Workflow Automations group vision and priorities
• Build and maintain traditional API integrations, as well as agentic MCP based integrations
• Evolve the platform so customers, partners, and agents can build on it with confidence
• Deepen priority integrations, the ones that move the most business, and define how new ones are onboarded
• Partner with Automations to make integrations the substrate AI agents act through, without fragmenting the surface
• Set the architectural direction for the integrations platform remit, partnering closely with engineering on the trade offs that come with it
• Define and own the next phase of Integrations, with a clear thesis and quarterly sequencing
• Influence group level decisions through compelling storytelling and strategic framing
• Monitor competitors, market trends, and shifts in customer expectations, including the fast moving AI landscape, to identify opportunities and guide strategy
• Work cross functionally with engineering, design, research, marketing, customer success, sales, and Partnerships to align on priorities and technical direction
• Leverage AI tools to accelerate discovery, analysis, documentation, and decision making

What you already bring to the table

• A strategic thinker with strong product instincts and high ownership
• Platform PM experience with real depth; you have built or shipped integration platforms, connector frameworks, or developer facing surfaces, and understand what it takes to scale them
• Deep familiarity with developer facing surfaces, including APIs, webhooks, SDKs, OAuth and auth flows, and event systems
• Familiarity with agents, LLMs, context management, and RAG
• An understanding of how integrations underpin workflow automation and agentic action, alongside a strong point of view on the platform shift happening across both
• An AI native mindset; you actively build with LLMs, agents, and tool use frameworks, and treat AI fluency as a core multiplier rather than a buzzword
• Technical depth and comfort engaging with engineers on the underlying mechanics of an integrations product, including auth flows, connector architecture, rate limiting, retries, and event flows, not just the abstraction layer
• Comfort with technical trade off discussions around reliability, observability, performance, and partner contract changes
• Strong product sense and the ability to identify what makes an integrations surface feel reliable, deep, and effortless
• A customer first mindset with strong discovery and validation skills; able to pair early customer signals with data to test ideas quickly
• Strong storytelling and strategic framing skills; able to align and influence cross functional teams and leadership through clarity and narrative
• A strong triad collaborator who builds solid relationships with engineering and design, and leads through influence
• High agency and a proactive mindset
• Strong product craft, including writing clear specifications and managing complex cross team initiatives
• A data driven approach to decision making and prioritisation; able to define the measurement model for the Integrations surface without relying on a data analyst for every question
• Comfort operating in ambiguous environments and defining direction where none exists
• Experience working in distributed and remote teams, with the ability to maintain alignment and momentum asynchronously
• A mindset of continuous learning, improvement, and collaboration

Nice to have

• Experience shipping integration platforms or iPaaS products such as Zapier, Make, Workato, Tray.io, or n8n
• Experience as a PM on a third party integrations surface inside a horizontal SaaS ecosystem such as Slack, HubSpot, Salesforce, or Notion
• Experience designing developer platforms, including SDKs, developer portals, marketplaces, and partner programs
• Experience launching an LLM powered or agentic feature where integrations were the action surface
• Experience working with external partners and partner business development teams

This is where you will make an impact

Integrations is where Typeform stops being a destination and becomes part of the customer’s stack. You will own the layer that connects 150,000 businesses to the hundreds of tools they rely on: the connectors, auth, the action catalog, and the platform that makes it all work.

You will also help lead the shift from manual connections to agentic action, the moment integrations stop being a checkbox and become the substrate every workflow and every agent runs through.

Your Role:

Tenable's cloud-based exposure management platform helps organizations see, understand, and reduce cyber risk across their entire attack surface. Our SRE teams keep that platform reliable, scalable, and secure — and we're building the next generation of tooling to do it smarter.
 

This role sits within our SRE Infrastructure Management organization on a focused team dedicated to reducing operational toil through AI-powered automation. You'll build intelligent systems that replace manual workflows — from incident diagnostics to infrastructure provisioning to upgrade automation — using LLMs, agentic architectures, and deep SRE domain knowledge.
 

This isn't an operations role with some AI on the side. You'll spend most of your time writing production code: designing and building agentic workflows, integrating across observability and infrastructure platforms, and measuring the impact of what you ship against real toil data.

Your Opportunity:

• Design and build AI-powered agentic workflows that automate complex SRE operations — incident investigation, infrastructure provisioning, deployment reliability, and more.
• Improve the accuracy, reliability, and observability of agent pipelines through evaluation frameworks, prompt engineering, retrieval strategies, and structured output validation.
• Build developer tools and internal platforms — CLI tools, IDE plugins, and workflow automation — that engineers across the organization use daily.
• Build tooling that connects across the SRE tech stack — Kubernetes, Terraform, Helm, CI/CD pipelines, observability platforms, and cloud infrastructure APIs.
• Work on a focused team where everyone writes code, owns what they ship, and drives prioritization from measured toil data.
• Participate in SRE on-call rotation — we use on-call as a direct input into what we build, not just a firefighting duty.
• Collaborate with SRE teams across the organization to identify automation opportunities and deliver tooling that gives engineers hours back.

What Success Looks Like:

• Within your first few months, you've shipped an agentic workflow that automates a real SRE toil category — and engineers are using it.
• Within 6 months, you're independently designing and building AI-powered pipelines, contributing to the team's evaluation and accuracy practices, and your work is driving measurable toil reduction.
• Within a year, you've become a go-to contributor on the team — shaping the roadmap, mentoring others on AI + SRE patterns, and building systems that scale the team's impact across engineering.

What You'll Need:

And Ideally:

Description

NewsWhip by Sprout Social is looking for a Senior Applied AI/ML Scientist to join its AI, Data and Intelligence Business Unit. 

Why join NewsWhip by Sprout Social’s Data Science and AI team? 

Most LLM applications are wrappers around a chat box. Ours aren't. 

NewsWhip processes the world's news in real time - millions of articles, posts, and signals every day - and turns that firehose into predictive intelligence that journalists, PR leaders, and global brands rely on to make decisions before the news breaks. The interesting problems live everywhere in that pipeline: ambient agents that monitor and enrich content as it flows in, retrieval systems that have to be fast and correct on a corpus that changes by the minute, evaluation frameworks for a domain where hallucination has real-world consequences, and reporting workflows where LLM-generated insights need to stand up to scrutiny by professional analysts.

You'll work at the intersection of product, data, and engineering with the autonomy to make architectural decisions and the support of a company that takes AI quality seriously. If you want to build LLM systems that do more than answer questions - systems that reason, retrieve, enrich, and act across one of the most demanding content domains there is — this is the role.

What you'll do

Build and Ship LLM-Powered Features

• Architect and deliver production agentic workflows — both ambient (background agents that enrich, monitor, summarise, and surface insights across NewsWhip's data continuously) and interactive (user-facing tool-using agents that respond to journalist and PR analyst queries in real time).

• Own the design of LLM-powered content enrichments that feed directly into customer reporting, alerts, and intelligence briefings — turning raw news signals into structured, decision-ready outputs.

• Lead the technical direction for tool-augmented LLM systems, including MCP-compatible services, function-calling patterns, and multi-step reasoning workflows.

• Make architecture-level decisions about when to use retrieval, when to use agents, when to fine-tune, and when a smaller model or classical NLP approach is the right answer.

• Define structured prompting standards, output schemas, and reusable patterns that the wider engineering team can build on.

Drive Quality, Evaluation, and Observability

• Set the bar for how NewsWhip evaluates LLM systems — offline benchmarks, online experimentation, regression detection, and human-in-the-loop review.

• Own guardrails for safety, hallucination reduction, factual grounding, and output consistency in a domain (news and media intelligence) where accuracy is non-negotiable.

• Build observability into every LLM feature: tracing, cost tracking, latency budgets, quality metrics, and drift monitoring.

• Make pragmatic trade-offs between model quality, latency, and cost — and be accountable for them.

Retrieval, Embeddings, and Semantic Infrastructure

• Evolve the embedding and semantic search infrastructure that underpins NewsWhip's intelligence layer, including chunking strategies, hybrid search, and re-ranking.

• Improve retrieval relevance as one component of a broader agentic architecture — not as an end in itself.

Lead Technically and Influence Cross-Functionally

• Partner with Product, and UX  to translate ambiguous AI ideas into shipped features customers actually rely on.

• Lead technical design discussions and represent the AI team in architecture decisions.

• Raise the bar through code review, mentorship, and writing — help less experienced engineers grow into strong AI practitioners.

• Stay close to the frontier: evaluate emerging models, frameworks, and techniques and bring the right ones into the stack.

What you’ll bring

We’re looking for an experienced and highly technical Senior Applied AI/ML Scientist who embraces challenges, practices a growth mindset, and is eager to collaborate with a variety of stakeholders to provide data-driven solutions to business leaders and to NewsWhip’s by Sprout Social customers. 

Minimum Qualifications

• 6+ years of experience building and operating production software systems.

• 2+ years hands-on experience shipping LLM-powered features in real-world applications.

• Strong backend engineering skills (Python preferred). 

• Experience with several of the following:

• Large Language Model APIs (OpenAI, Anthropic, open-weight models, etc.) and transformer-based techniques

• Embedding models and similarity search

• Vector databases (ChromaDB, Pinecone, Weaviate, etc.)

• Prompt engineering and structured output techniques

• LLM evaluation frameworks and automated testing

• LLMOps practices (monitoring, versioning, observability using Langfuse, Datadog, etc.)

• Track record of owning a system end-to-end in production, not just contributing to one.

• Experience making and defending architectural trade-offs (model choice, build vs. buy, latency vs. quality).

• Experience mentoring engineers or leading technical design reviews.

• Experience working closely with Product and UX on feature delivery.

Preferred Qualifications

• Bachelor’s in Data Science, Computer Science, Machine Learning, AI, or a related discipline.

• Experience with AI orchestration frameworks (LangChain, LlamaIndex, LangGraph, etc.).

• Familiarity with Model Context Protocol (MCP) or tool-calling architectures.

• Experience building agentic workflows or tool-using systems.

• Knowledge of semantic search and content retrieval systems.

• Experience with cloud platforms.

• Background in media analytics, content intelligence, or large-scale text processing.

• Experience in startup or high-growth environments.

How you’ll grow

Within 1 month, you’ll plant your roots, including:

• Complete onboarding and gain a deep understanding of NewsWhip’s product, data model, and AI roadmap.

• Meet and learn from assigned onboarding resources.

• Set clear expectations and goals with your manager.

• Familiarize yourself with our existing LLM infrastructure, evaluation practices, and vector systems.

• Ship your first meaningful improvement or feature iteration to production.

• Become familiar with our existing features, available data, and best practices.

Within 3 months, you’ll start hitting your stride by:

• Take ownership of a core LLM-powered feature or subsystem.

• Implement measurable improvements to prompt quality, retrieval relevance, or model performance.

• Contribute to improving our AI evaluation and testing strategy.

• Lead at least one technical design discussion related to AI architecture.

Within 6 months, you’ll be making a clear impact through:

• Drive the end-to-end delivery of a significant AI feature from concept to production launch.

• Establish reusable patterns or tooling that improve LLM development velocity and reliability.

• Demonstrate measurable impact on quality metrics (e.g., reduced hallucination rates, improved relevance, latency, or cost efficiency).

Within 12 months, you’ll make this role your own by:

• Be recognized as a go-to expert for LLM systems and applied AI best practices within the team.

• Help shape the longer-term AI architecture and technical roadmap.

• Mentor other engineers on prompt design, evaluation, and AI system reliability.

• Surprise us - propose and deliver AI innovations that meaningfully change how customers use NewsWhip.

Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.

Our Benefits Program

We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes:

• Comprehensive Private Health & Dental: 100% premium coverage for you and your eligible dependents through VHI (Health) and DeCare (Dental).

• Pension Scheme: We match your pension contributions 1-to-1 up to 6% of your salary.

• Life & Disability Insurance: 100% paid-for life cover and disability insurance for your peace of mind.

• Generous Paid Time Off: 25 days of leave, plus all public holidays and additional company-wide Rest & Recharge days.

• Paid Parental Leave: We support all growing families with 26 weeks of full pay for birthing parents and 16 weeks of full pay for non-birthing parents. 

• Family & Care Support: Access to subsidized child/eldercare through Care.com.

• Premium Mental Health Support: Full access to Modern Health for you and your dependents, including free coaching, therapy sessions, and digital wellness resources.

• Lifestyle Spending Account (LSA): An annual $700 USD fund to spend on your physical, mental, and financial well-being.

• Work From Home Support: A one-time $550 USD stipend to set up your home office, plus a monthly $50 USD stipend for internet.

• Dublin Office Perks: A €18 daily lunch stipend (via Deliveroo) when you work from our Dublin office.

• Commuter Savings: Access to the Tax Saver Commuter/Cycle to Work scheme for tax savings.

• Charitable Giving: A company match for your donations to eligible organizations.

*This list is for informational purposes only. Benefit offerings are discretionary and subject to change and do not constitute a contract or guarantee of benefits.

Our salary ranges reflect the expected earning potential for this role. Individual pay is based on geographic zone, relevant experience, and skills.

Our current hiring range for this role: €90,000 – €123,750 annually. Offers are made within this range, with opportunities to grow within the broader band based on performance and impact.

We share both our current hiring range and our broader geographic salary bands to provide transparency into our compensation philosophy. This ensures you understand not only your starting potential but also the long-term growth opportunities available as you progress in your role.

The full base pay range for this role is € 90,000 – €123,750.

These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.

Whenever possible, we want to provide team members the flexibility to work in the location that makes the most sense for them. If you prefer an office setting, this role may be based in our Dublin location. If you prefer to work remotely from another location within Ireland, we will accommodate you as best as possible. 

If you are based in another location within EMEA, we aren’t able to hire in your location at this time.

#LI-REMOTE

An overview of this role

As a Staff Backend Engineer (Python) on the Duo Chat team in AI Engineering, you'll lead the backend architecture that powers GitLab Duo Chat across the GitLab DevSecOps platform. You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence. This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions. Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.

Some examples of our projects:

• Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality
• Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale

What you'll do

• Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities
• Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance
• Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI
• Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform
• Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations
• Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices
• Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt
• Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)

What you'll bring

• Production experience building and operating backend services in Python, including background jobs, APIs, and data models
• Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow
• Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders
• Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility
• Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI
• Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling
• Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way
• Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains

About the team

The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab.

An overview of this role

As a Senior Backend Engineer (AI) in the Verify stage at GitLab, you'll help shape and scale the core infrastructure behind GitLab CI. You'll play a key role in how we integrate AI into CI/CD workflows, working on features that improve performance, reliability, and usability for people running millions of CI jobs, from small teams to the largest enterprises.

AI is a top priority in the year ahead. In this role, you'll go beyond using AI tools — you’ll design, build, and iterate on AI-assisted and agentic CI experiences. You’ll help define and implement patterns for how we measure success, how we instrument behavior in production, and how we account for large language model limitations in real-world environments. You’ll also help integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.

In this role, you will:

• Collaborate with Engineering, Product, and UX partners to refine priorities: where we can move faster, where we’re missing data, and where there’s whitespace to innovate.
• Contribute to defining what success looks like across our AI agents, ensuring we’re not just shipping, but learning from how features perform in production.
• Keep a close eye on the competitive landscape and emerging AI-native DevOps tools, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:

• AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.
• Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.
• Build the instrumentation and observability layer that makes agentic CI trustworthy — trigger volume dashboards, retry rates, cost safeguards — so we can measure what’s working, catch what isn’t, and iterate with confidence.
• Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.

What you’ll do:

• Design, build, and operate backend features that make GitLab CI fast, reliable, and easy to use at scale.
• Implement AI-powered and agentic CI capabilities that integrate with GitLab’s Duo Agent Platform.
• Instrument, monitor, and improve CI systems using data, observability, and safe rollout practices.
• Write secure, well-tested Ruby on Rails code in our monolith, improving existing features while reducing technical debt.
• Collaborate cross-functionally with Product, UX, and Infrastructure, mentoring others and raising engineering standards across the Verify stage.

What you’ll bring:

• Strong Ruby on Rails backend experience in a large, production codebase.
• In-depth experience building and operating AI-powered backend features in production.
• A data- and observability-driven approach to diagnosing issues, improving reliability, and validating impact.
• Clear written and verbal communication, with a collaborative, mentoring mindset in a remote, async environment.
• Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains.Nice to have
• Experience with AI agents or agentic frameworks (for example, LangChain or similar technologies) and building agentic workflows in production environments.
• Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation.

Summary

As a Solutions Support Engineer, you will be part of a global team delivering expert-level technical support across the Wiz cloud-native security platform. You'll investigate complex, multi-domain issues spanning cloud infrastructure, workload protection, vulnerability management, and runtime defense - working across AWS, Azure, and GCP environments. This role combines deep technical troubleshooting with a growing emphasis on AI-driven automation to scale support operations and improve resolution quality.

What You'll Do

• Investigate and resolve customer technical issues across cloud security posture management, vulnerability scanning, threat detection, container/Kubernetes security, identity & access management, network analysis, and data security
• Troubleshoot cloud connector and integration failures across AWS, Azure, GCP, OCI, and SaaS platforms - including IAM/permissions issues, network connectivity, API authentication, and scanning infrastructure
• Diagnose workload scanning and runtime security issues including outpost deployment, sensor configuration, registry scanning, malware detection, and file integrity monitoring
• Analyze vulnerability findings - triage false positives, validate detection accuracy, investigate SBOM/SCA results, and assess secret detection and patch management coverage
• Support shift-left security workflows including CI/CD scanning, IaC security, admission controllers, Kubernetes connectors, and code/version control scanning
• Design and implement automation that scales the support offering - leveraging AI agents, agentic workflows, and tooling to improve triage accuracy and resolution efficiency
• Participate in on-call rotation for after-hours, holiday, and weekend support coverage

What You'll Bring

• 5+ years of hands-on technical experience in customer support, technical support, system administration, or a related customer-facing role
• 2+ years working with cloud platforms (AWS, Azure, GCP) - including IAM, networking (VPCs, security groups, firewalls), and core compute/storage services
• 1+ years of hands-on experience deploying, managing, and troubleshooting production Kubernetes clusters and containerized applications
• Strong understanding of cloud security fundamentals: identity and access management, network segmentation, compliance frameworks, and security posture assessment
• Experience reading and debugging code in one or more of: Python, Shell, JavaScript/JSON, Java, Go, or Terraform/HCL
• Proficiency with command-line tools and Linux operating system environments
• Familiarity with the current AI landscape, including LLM architectures and the integration of AI-driven tooling into technical workflows

Nice to Have

• Experience with vulnerability management, SBOM/SCA analysis, or CVE triage workflows
• Hands-on experience with threat detection, runtime security, or SIEM/SOAR integrations
• Experience building or supporting agentic workflows, RAG architectures, or AI-powered automation
• Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, Helm) and CI/CD pipelines
• Experience with GraphQL or REST API debugging and integration
• Background in compliance frameworks (CIS, NIST, SOC2, PCI-DSS, HIPAA)
• Experience with ServiceNow, Jira, or Zendesk in a support engineering context

🌎 Hire Location (we can only hire for this role in the following countries): United Kingdom | Ireland | The Netherlands 

Everyone’s racing to build AI. Workera exists for the 8 billion people who have to work alongside it.

While the world’s attention is on creating new tools, someone has to solve the other side of the equation: the humans. The workforce is going through the biggest transformation in a generation and most organizations are navigating it blind, without the data to understand what their people can actually do, where the gaps are, or how to close them fast enough.

That’s what we build. Workera’s skills intelligence platform is the critical infrastructure for the AI era. It’s the layer that lets organizations understand, mobilize, manage, and develop their talent with precision. Trusted by the Fortune 500 and powered by proprietary AI agents, we’re the company helping the world’s largest organizations not just survive the transition to AI, but lead it.

We’re looking for a Senior Fullstack Engineer whose heart is in the backend — someone excited to architect and own the systems that power our AI-native platform, built on Elixir/Phoenix. You’ll join small, autonomous project teams (2–3 people) that take full ownership of a feature from scoping and prototyping through to rollout and user feedback, with the depth to contribute across the stack and the instinct to lead from the backend. AI fluency isn’t optional here — you will use agentic coding and AI agents as a core part of how you work and build.

WHY THIS ROLE EXISTS

As Workera scales its AI-native platform to serve global enterprise customers, we need senior engineering talent who can own critical backend systems end-to-end. This role exists to add to our EMEA engineering team, bringing someone with depth and ownership  — shipping high-stakes, platform-critical features while advancing our AI-first engineering culture.

YOUR TEAM

You’ll join a cross-functional team operating at the intersection of generative AI, enterprise software, and talent transformation. Your immediate engineering team consists of four engineers, supported by a product designer, product manager, and engineering manager, all based in the EMEA region. The team values deep work and async communication — with only a few regular touchpoints each week — so you’ll have plenty of uninterrupted time to build.

WHAT YOU’LL OWN

This isn’t a list of tasks. These are the outcomes you’re accountable for:

• Architect and own backend systems that are robust, performant, and built to scale with a growing enterprise customer base
• Lead full projects end-to-end — owning scoping, architecture, build, and rollout — within a small autonomous team
• Ship AI-powered product features using agentic coding workflows and LLM integrations as a core part of how you build
• Identify and drive cross-team technical initiatives that advance Workera’s AI-first engineering organization
• Troubleshoot and resolve production issues throughout the full stack with speed and confidence
• Contribute on the frontend (Phoenix + React) when needed, bringing a full-stack perspective to backend-led ownership

HOW YOU’LL RAMP

We don’t expect you to figure it out alone. Here’s what great looks like at each stage:

First 30 Days — Learn the Machine

• Immerse yourself in Workera’s platform, customers, and the problems we’re solving. You’ll shadow key workflows and understand how AI is embedded in day-to-day operations across teams
• Get fully up to speed with our development process and begin using AI tools and agentic coding workflows to learn and contribute to the codebase

By 90 Days — Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution
• Be fully up to speed with our development process and using AI tools and agentic coding workflows to learn about and contribute to the codebase
• Deliver a project in a small team that touches every relevant part of the codebase, and be ready to troubleshoot production issues throughout the stack

By 6 Months — Multiply Your Impact

• Operate with full autonomy in your domain; your team relies on your judgment
• Have built or deployed at least one AI-assisted workflow that the team adopts
• Lead a full project, owning scoping, architecture, build, and rollout end-to-end
• Identify opportunities to use AI tools and automation to increase leverage and impact in your team
• Deeply understand our market position and communicate clearly in cross-functional discussions

We’re a fast-moving company — the scope and shape of this role will evolve as we do.

WHAT YOU BRING

We’re looking for signal, not checkboxes. Here’s what matters most:

• 7+ years of software engineering experience with a strong backend specialization in a SaaS or startup environment — full-stack capability is valued, but your heart is in the backend
• Practical experience building scalable backend systems top to bottom — ideally in Elixir/Phoenix/PostgreSQL; Go, Erlang, or Clojure backgrounds also considered; a proven ability to learn new technologies quickly is a must if you don’t have Elixir experience
• Deep expertise delivering platform-critical, high-stakes backend projects where robustness, performance, and troubleshooting are non-negotiable
• Day-to-day use of AI tools to enhance personal productivity (e.g., Claude Code or equivalent); bonus for experience building user-facing GenAI features
• Strong user and customer orientation — you understand and optimize user flows, not just code
• Willingness and ability to contribute on the frontend when needed (Phoenix + React)
• 2+ years working with a fully remote, async team
• Excellent written and verbal communication skills in English
• Comfort working in an AI-first environment where intelligent automation and experimentation are part of daily operations, with demonstrated ability to leverage AI tools (e.g., Claude, ChatGPT, or equivalent) to improve productivity and decision-making
• Strong systems thinking — ability to see how your backend work connects to a broader AI-driven platform and enterprise customers

The details: remote work & tech stack

You should be located in the UK, Ireland, or the Netherlands. You are free to choose working hours that suit you best, as long as there is an overlap with your team for most of the day.

Our stack primarily consists of Elixir + PostgreSQL on the backend and Phoenix on the frontend (with some pockets of React). We monitor performance using Sentry, and our platform is hosted on AWS, running on Docker containers defined in Terraform. Our platform is AI-native, and we make extensive use of LLMs in our application. Our code lives on GitHub — in fact, GitHub, Slack and Linear is where most of the collaboration happens. We practice using Loom to demo our work.

HOW WE WORK: AI IS THE DEFAULT

At Workera, AI isn’t a feature we sell — it’s how we operate. Every team member is expected to:

• Use AI daily. AI assistants, copilots, and automation tools are part of your stack — not optional extras. We expect you to actively experiment with new tools and push the boundary of what’s possible in your function.
• Build your own leverage. Our marketers write code. Our PMs build automations. Our ops team deploys agents. If a workflow can be automated, you’re expected to automate it — or work with someone who can.
• Think in systems, not tasks. We value people who build repeatable, scalable solutions over people who grind through one-off work. Your goal is to make your function run smarter, not just harder.

AI fluency is a cultural expectation, not a line item on a job description.

What is The Role

Elastic is building Agent Builder, a conversational platform that connects production agents to real customer business data in Elasticsearch. As a Principal Engineer, you will set technical direction and drive the Kibana backend architecture for the agentic platform: streaming APIs, secure tool execution, session and memory persistence, retrieval and citations contracts, and evaluation telemetry. Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.

What You Will Be Doing

• Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets
• Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work.
• Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints.
• Champion reliability—define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads.
• Mentor senior and Junior engineers; grow their system-design skills and foster a high-trust, low-ego culture.
• Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items.
• Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks.

What You Bring

• We appreciate articulate and “low ego” people who want to grow as part of a team.
• 10 + years building distributed, production SaaS services—at least 5 years leading large-scale Node/TypeScript or similar back-end stacks.
• Deep expertise in distributed systems fundamentals—shard routing, consensus, eventual consistency, back-pressure, and circuit-breaker patterns.
• Demonstrated success designing high-throughput, low-latency APIs (gRPC / REST / WebSocket)—including streaming responses and resumable sessions.
• Hands-on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards.
• Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector-search, RAG orchestration) and enthusiasm for advancing GenAI architectures.
• Clear, persuasive written communication—your ADRs and RFCs set the standard others emulate.
• Nice-to-have: contribution history to Kibana or other large SPAs; ability to prototype front-end dashboards when it unblocks back-end work.

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

What Is The Role : 

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.

We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.

Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.

What You Will Be Doing:

• Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
• Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
• Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
• Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
• Build demos and examples to support your content or share the highlights of the latest research papers.
• Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.

What You Bring : 

• Solid technical background and experience in an engineering role.
• Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
• Comfortable working independently and seeing projects through from idea to publication without waiting on others.
• Curiosity and adaptability to quickly pick up new tools and topics.
• A collaborative mindset and willingness to share ideas, in a fully distributed team.
• Strong written and spoken communication skills in English.

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

Who we are
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy.
Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

About the role
We are looking for a Lead Product Manager to own and evolve Data Capture, the surface where every Typeform creator builds and every respondent answers.

Typeform's respondent experience is widely recognised as one of the best in the market. Behind that experience sits Data Capture: the form builder, the blocks library that powers every question and interaction, and the formats through which respondents engage. As Typeform expands into new use cases and AI powered experiences, this surface must evolve toward a composable foundation that supports conversational, page based, embedded, video, voice, and AI moderated interactions from a unified architecture.

In this role, you will lead the strategic direction of Data Capture across three teams. You will manage two Senior Product Managers, carry IC ownership on one of the teams, and drive the architectural evolution of the surface into the composable primitives.

About the team
Data Capture owns the creator and respondent experience end to end. It is made up of three teams:
•  Create & Design — the form builder, design system, brand kits, and multi language.
•  Blocks — the library of question types and the renderer that powers them across every experience.
•  Agentic forms — AI-native surfaces: voice agents, video interviews, and AI-moderated flows where the form thinks, asks follow-ups, and adapts in real time.

The group works closely with platform engineering, product design, Typeform AI, Integrations, and the teams driving end to end customer journeys. Its mission is to keep Typeform's surface market leading on craft while expanding into the components and formats our customers need.

Things you will do
•  Define and drive the strategy for Data Capture in line with the Group's vision and priorities, with a clear thesis and quarterly sequencing for 2026 and 2027
•  Lead the replatforming of the surface into composable primitives consumable across multiple surfaces in the organisation
• Define and ship the AI-native evolution of Data Capture: Smart Blocks, AI-moderated interviews, voice and video respondent flows, and the primitives that make them composable
•  Partner with Typeform AI to land agentic respondent experiences in production at the scale of 500 million responses a year, without fragmenting the core platform
•  Hold the quality bar across the group on specs, discovery, instrumentation, and craft
•  Partner closely with engineering on architectural decisions that shape the future of the platform
•  Work cross functionally with engineering, design, research, and product leadership to align on priorities and technical direction
•  Leverage AI tools to accelerate discovery, analysis, documentation, and decision making. 
•  Use data and customer insight to identify opportunities and measure product impact.
•  Show strong ownership and high agency: proactively identify risks, unblock teams, and push things forward
•  Work cross functionally with engineering, design, research, marketing, customer success, and sales to align on priorities and technical direction
•  Monitor competitors, market trends, and shifts in customer expectations to identify opportunities and guide strategy

What you already bring to the table
•  A strategic thinker with strong product instincts and high ownership
•  AI-native operator: builds with LLMs, agents, and tool-use frameworks daily and treats AI fluency as a core multiplier, not a buzzword. Has a point of view on what AI-first respondent experiences should feel like
•  Real depth in agentic systems, LLM orchestration, tool use, or action execution frameworks, with a view on how they ship in production at scale
•  Architectural conviction: Familiarity with platform architecture, sufficient to partner on renderer refactoring and modular and composable architecture decisions
•  Technical depth: comfort engaging with engineers on architecture, system design, and the underlying primitives (APIs, webhooks, rendered components, data contracts, event flows) that connect blocks to downstream consumers, not only the abstraction layer
•  Comfort with technical trade off discussions around performance, scalability, reliability, observability, and architectural direction
•  Experience managing Product Managers while owning IC work on one team
•  Experience defining mid and long term product strategy across multiple teams in fast moving environments
•  Strong product sense and the ability to identify what creates a great creator and respondent experience
•  Customer first mindset with strong discovery and validation skills; pairs early customer signal with data to test ideas fast
•  A data driven approach to decision making and prioritisation; able to set the measurement model for a surface without leaning on a data analyst for every question
•  Strong storytelling and strategic framing: able to bring alignment and influence group and leadership level decisions through clarity and narrative
•  High agency: doesn't wait to be told, thrives in moving things forward proactively
•  Passionate about mentoring others and contributing to a strong product culture
•  Always learning, always improving, and invested in building great things with others

Nice to have
•  Familiarity with AI enhanced product experiences such as AI moderated workflows, smart logic, or agentic flows
•  Experience leading platform or infrastructure level product initiatives
•  Experience driving architectural or platform refactoring initiatives, especially transitions from product facing to platform composable structures
•  Experience with developer facing surfaces such as webhooks, APIs, SDKs, and event systems

This is where you will make an impact
You will own the surface that every Typeform creator builds on and every respondent answers through.

By evolving Data Capture into a composable foundation, you will unlock faster innovation across the platform and shape how hundreds of millions of people interact with forms every year.

About the Role

We’re looking for a Junior Security Operations Engineer who is AI-Forward to help scale and modernize our SecOps program. This is a hands-on, builder role for someone who will design and ship the security tooling that powers our triage, investigations, and response workflows.

You’ll report to the Technical Operations Director and work alongside our GRC lead to improve our vulnerability intake, threat response, darkweb posture, and internal security tooling. A core part of this role is building AI-assisted security tooling: triage agents that pre-classify bug bounty reports, investigation copilots that pull context from logs and SIEM data, response workflows that draft remediation steps and track them to closure. You’ll spend as much time wiring up that tooling as you will reproducing vulnerabilities and working incidents.

This role suits someone who thrives in a lean, high-impact environment, has strong opinions on where humans add value versus where tooling should take over, and wants to shape how a modern security team operates.

What You’ll Do

Triage & Vulnerability Management

• Review incoming vulnerability reports from our bug bounty intake; reproduce and document valid issues for engineering teams.
• Build the tooling that improves signal-to-noise: automate duplicate detection, spam filtering, and abuse flagging so humans only touch what’s worth touching.
• Act on DAST findings: coordinate remediation, verify fixes, and re-test.
• Track remediation timelines for critical vulnerabilities and keep stakeholders honest on SLAs.

Threat Response & Monitoring

• Monitor and respond to EDR and cloud security alerts; investigate, contain, and document.
• Analyze darkweb findings and credential exposures; shape our darkweb monitoring practices and tooling over time.
• Improve detection coverage: tune noisy rules, close gaps, and enrich alerts with context so responders spend time on decisions, not data gathering.
• Help configure and tune DLP, SIEM, and AI security tooling.

Security Tooling (core to this role)

• Build AI-assisted triage tooling that pre-classifies bug bounty reports, flags duplicates, and routes real issues to the right engineering team with reproduction context attached.
• Build investigation tooling: LLM-backed copilots and Slack bots that pull alert context, correlate signals across sources, and surface what actually matters.
• Build response tooling: workflows that draft remediation steps, generate evidence artifacts, and track issues to closure across the teams that own them.
• Evaluate emerging AI security tooling and bring what’s genuinely useful into the stack; retire what isn’t.
• Apply a security-minded lens to our own AI usage: prompt injection, data exfiltration, model misuse, and the guardrails that go around them.

Compliance & Cross-Functional

• Support audit evidence collection for SOC 2, ISO 27001, and PCI DSS.
• Partner with ITOps to verify patches, endpoint coverage, and access hygiene.

You May Be a Good Fit If You Have

• Previous experience in a SecOps, Security Analyst, or Threat Response role.
• Proven ability to understand and reproduce technical vulnerabilities. You can read a bug report and tell whether it’s real.
• Experience with bug bounty triage (HackerOne, Bugcrowd, or similar).
• Hands-on exposure to SIEM, EDR, and DLP tools in production environments.
• A genuine, demonstrated interest in applying AI/LLMs to security work: side projects, internal tooling, prompt engineering, agent frameworks, anything that shows you’ve actually built with this stuff.
• Scripting and automation skills in Python, Bash, or similar. You reach for code before you reach for a checklist.
• Comfort working autonomously across time zones and asynchronously.
• Strong written communication. You can turn a messy investigation into a clear, defensible writeup.

Bonus Points For

• Experience building LLM agents, RAG pipelines, or Slack bots backed by OpenAI / Anthropic / open-source models.
• Detection engineering experience (Sigma rules, custom Falcon queries, Grafana/Loki dashboards).
• Cloud security depth in AWS or GCP (IAM, workload posture, cloud-native logging).
• Prior work in regulated environments (SOC 2, ISO 27001, PCI DSS) from the practitioner side.
• Exposure to AI/ML security concerns such as prompt injection, model evals, and data leakage through LLMs.
• Public contributions: blog posts, CVEs, open-source tools, CTF writeups.

Engagement & Logistics

• Full-time contract.
• Remote-first and async-friendly. We have hubs in San Francisco, Denver, Dublin, and Amsterdam. If you’re near one, we’d love to see you in the office regularly; if you’re elsewhere in the world, that works too.
• Potential to extend or convert based on fit.
• Reports to the Technical Operations Director; works closely with the GRC lead and IT Operations.

How We Work

We’re a lean, high-trust team. We value people who ship, who can operate independently, and who treat security as an engineering problem rather than a checklist. If you’re someone who sees a repetitive task and immediately thinks “this should be a script, or better yet, an agent,” you’ll fit in here.

To Apply

Tell us about a time you used AI, automation, or custom tooling to meaningfully change how a security workflow ran. What was manual before, what it looked like after, and what you learned. Links to code, writeups, or demos are welcome.

Senior Data Scientist

You remember the first time you wrote a script that actually worked—maybe a Python one-liner, a scrappy Excel formula, or even an SQL query. That little spark of 'Whoa, I just made data do something.' felt just as exhilarating as the moment you saw your first model running in production. Fast forward to today. If embeddings dance in your dreams and experimenting with LLMs and crunching datasets puts a skip in your step, well we’ve got the gig for you. 

We’re on a mission to reimagine the IT help desk — taking the mundane and making it smarter, faster, and way less painful. As a Senior Data Scientist, you’ll be at the forefront of this transformation, wielding machine learning, AI, and all your data wizardry to build solutions that make a difference while they make smiles bloom across our customers.

We believe that data science (whether that's a prompt, a new fancy shmancy model or a tried and true statistical method) is the key to transforming tedious IT requests into truly magical experiences. More importantly, we think people belong at the center of this transformation.

As a senior data scientist, you'll be working with a team of people who care -- about our customers, about our world, and about each other. We're looking to build and scale a texture of interactions that put people at the center of technology. You'll operate at the crossroads of engineering, product development, operations, and customer success to uncover patterns in large datasets, predict trends, and optimize our service delivery. You’ll act as an expert communicator, effortlessly breaking down complex technical research and making it clear for teammates from all backgrounds. Additionally, you’ll drive continued innovation by proposing and leading new areas of research.

We believe the combination of ingenuity, technology and care can build amazing moments for our customers -- helping them see around corners and solving problems before they happen, and we think there's a place at the center of this for you.

What we can do for you

• Offer a nurturing environment where your skills and contributions are valued and celebrated.
• Provide many opportunities for professional growth, learning, and development in the field of data science and beyond.
• Give you a chance to work with cutting-edge technology and influence the future of IT help desk services.
• Surround you with a culture that values impact over pure research, so you’ll feel the difference your work is making.
• Offer you the opportunity to work with modern tech and help shape the tech stack our data science team uses as we grow.

What you can do for us

• Lead full-lifecycle data science projects, from conceptualization to deployment and ongoing maintenance.
• Elevate our standards on the data science team when it comes to operational excellence.
• Collaborate with our operations, engineering, and service delivery teams to ensure seamless integration and management of our machine learning capabilities.
• Communicate complex data science concepts effectively to a diverse range of stakeholders so we get the outcomes we want and capture learnings along the way.
• Use your expertise to find simple, effective solutions when advanced models aren’t required.
• Engage in continuous learning and sharing, fostering an environment of collective growth and innovation across departments.
• Bring clarity and understanding to complex data science projects.
• Foster a culture of collaboration and continuous improvement.
• Champion our values of curiosity, adaptability, and teamwork.

What you should bring with you

• 5+ years of experience in data science along with a knack for creating impactful models and drawing insightful conclusions.
• Proficiency in data science frameworks like scikit-learn, plotly, pandas, and numpy.
• A strong statistical background, especially in time series analysis.
• A passion for quality, with experience implementing tests and upholding engineering standards in data science.
• Excellent communication skills and an ability to engage both technical and non-technical audiences.
• A growth mindset that’s open to learning and deploying LLM technologies.

The Role

As the SEO & AEO Specialist, you own Aiven’s discoverability in the age of generative AI. You are a modern search strategist who understands that search has evolved into a complex ecosystem of Generative AI, LLM citations and traditional search. Your mission is to ensure Aiven is the primary source of truth for both traditional search engines (Google/Bing) and AI answer engines (Germini, ChatGPT, Perplexity, Claude). You are a high-velocity, technical marketer with a growth-hacker mindset who understands the mechanics of traditional search models as well as how LLMs and Search Generative Experiences (SGE) crawl, index and cite source material. 

Key Responsibilities

• Generative AI & LLM Optimization (AEO): Execute specific technical strategies to ensure Aiven is cited as the primary authority in AI-generated answers. This includes managing llms.txt and robots.txt for AI crawlers and optimizing technical content for Retrieval-Augmented Generation (RAG) workflows.
• Technical Search Engine Optimization: Own the traditional SEO roadmap, focusing on site architecture, high-speed JavaScript rendering, and Core Web Vitals. You ensure Aiven ranks #1 for high-intent technical queries related to all product domains. 
• Schema & Structured Data Architecture: Implement and manage advanced JSON-LD and Schema.org markups. You will build the machine-readable "Knowledge Graph" that allows AI agents and search bots to explicitly understand Aiven’s product features, pricing, and technical benchmarks.
• MarTech Analytics & Attribution: Utilize a modern stack (Ahrefs, SEMrush, Google Search Console, Scrunch) to analyze our global visibility. You will go beyond clicks to measure Share of Model Voice and AI Citation Frequency, proving how search drives qualified trial signups and enterprise leads.
• Agile Growth Hacking: Monitor LLM and search algorithm updates daily. You must be able to rapidly pivot our technical strategy to take advantage of new AI search features (e.g., OpenAI Search or Google SGE) before competitors react.
• Specialist Agency Management: If required, lead and direct boutique SEO/AEO agencies. You will define their technical deliverables, manage their output, and ensure their advanced tactics are integrated into our broader marketing engine at a high pace.

Ideal Candidate:

• 4+ years in technical search marketing: Proven experience in B2B Cloud, Data, or Infrastructure as bonus. You must be able to navigate the technical complexities of the modern tech stack.
• You are an expert user of LLMs to automate SEO tasks (e.g., Python scripts for bulk metadata, AI-driven content audits, and intent mapping).
• Hands-on experience with Salesforce and advanced SEO suites. You know how to connect organic discovery data to actual revenue and pipeline in the CRM.
• Expert knowledge of HTML, CSS, and how modern web frameworks impact search bot crawling. You are comfortable collaborating with Web Engineering teams to deploy site-wide technical fixes.
• You are a data-first marketer who can quantify the ROI of zero-click searches and AI citations to the executive leadership team.
• You thrive in an environment where search rules change weekly. You don't wait for a playbook, you build the experiments that define the new standard.
• Experience managing specialized external consultants to ensure high-velocity execution and technical accuracy.

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. 
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for employees, friends, and family!

#LI-Hybrid

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

Forward Deployed Engineer (Perm, Ireland, Remote + Travel)

This is a full-time, permanent opportunity for candidates based in Ireland.

This position also requires frequent travel to client sites within Europe, with travel expenses covered by the company.

About Nearform

Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.  

About the role

As a Forward Deployed Engineer, you will help build, implement, and deploy agentic platforms within client environments. Your role will focus on building and deploying scalable AI-driven solutions, enabling organisations to operationalise LLM-powered agents across products, processes, and teams. You will work closely with client stakeholders, technical leaders, and delivery teams to build, and roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks. 

What we are looking for in this person:

• Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience.
• Experience designing and building agentic platforms using Python and modern AI frameworks.
• Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies.
• Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.
• Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources.
• Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.
• The ability to configure Kubernetes and deploy workloads.
• Design deployment architectures across cloud, on-premise, and hybrid environments.
• Ability to collaborate efficiently in teams of technical and non-technical individuals.
• Comfort working in a dynamic environment with evolving objectives and direct iteration with users.
• Strong consulting experience to plan, execute, and deliver complex client engagements, solving real business problems.

Nice to have:

• Hands-on experience working with Golang
• Hands-on experience in the Frontend working with React 
• Deep understanding of Kubernetes

Benefits & Perks:

• Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance. 
• Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem! 
• Paid Time Off Package - We offer an annual leave of 24 days plus public holidays. We also offer sick leave, marriage leave and many more.
• Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
• Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 (equivalent in GBP) you can use to upskill yourself.
• Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.
• Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.

Our Interview Process

1. 1. Talent Call (30 mins via Zoom)
      An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.

      ---

   2. Technical Assessment (1 hour via Zoom)
      A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment.

      ---

   3. Hiring Manager Interview (45 mins via Zoom)
      A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project

Ready to Join Us?

If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. 

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.  

About the Team

We’re looking for a Senior Product Manager to lead the transformation of Typeform’s reporting and analytics experience. 

About the Role

This role sits at the center of Typeform’s strategy to turn data into a true market differentiator, driving long-term revenue growth and customer satisfaction. You’ll own the strategy and execution of AI-first analytics capabilities that deliver clear, actionable insights—helping Typeform move beyond feature-parity competitors with a smarter, faster reporting experience.

Things you’ll do

• Lead the delivery of a best-in-class reporting suite, including a redesigned summary page, filtering, advanced visualisations, and AI-driven insights
• Define and ship the MVP for our next-gen Narrative Intelligence and “AI Copilot for Insights” experience
• Partner with Data Science to land foundational Copilot capabilities that scale to millions of responses
• Set and drive a focused roadmap that combines quick wins with long-term innovation
• Consolidate onboarding learnings, customer insights, and market context to guide product decisions
• Improve key metrics like usage rates, satisfaction scores, and activation across reporting features
• Build strong internal alignment and communicate product value clearly to Sales, CS, and GTM teams
• Ensure commercial success by helping Sales and CS articulate differentiated analytics value to customers

What you will bring to the table

• Strong strategic thinking with the ability to balance long-term vision with near-term results
• High ownership mindset with a proactive approach to removing blockers and driving progress
• Proven ability to collaborate cross-functionally with Sales, CS, Data Science, Legal, and Engineering
• Confident communicator with commercial fluency and presence when interacting with leadership and enterprise customers
• Customer-focused mindset with a passion for solving real-world data and reporting challenges
• Deep product knowledge in analytics, data visualisation, and reporting (especially for SaaS or B2B)
• Familiarity with AI/LLM-enabled product development and user-facing intelligence features
• Experience working with large-scale data infrastructure (e.g., Clickhouse, columnar databases)
• High data literacy and the ability to influence roadmap through evidence and insight
• Experience managing complex, multi-threaded product work-streams

Extra awesome

• A strong track record building or buying advanced reporting and analytics tools
• Experience in survey tooling or working with flexible, unstructured response data
• Hands-on experience delivering modern AI-powered product features