Role & Team

As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
• Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
• Grow the teams by attracting and hiring great Data and ML talent
• Foster an inclusive, supportive, and caring culture where everyone can do their best work
• Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
• Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
• Ensure the technical approaches within your domains support future product and modelling needs
• Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
• Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning

Skills & Experience

• 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams
• Passionate about climate and the role technology can play in addressing environmental challenges
• Experience working in a high-growth scale-up or startup environment
• Product-minded, with the ability to demonstrate meaningful business impact through technology
• Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions
• Experience working with python-based ML or data workflows and collaborating closely with data scientists
• Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels
• Excellent communication skills and the ability to collaborate effectively in cross-functional environments
• Passion for learning and staying current with evolving technologies and industry trend

Nice To Have

• Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments)

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

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

Backend Engineer, Core Technology

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 Organization 

• Core Infrastructure: We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure: We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models. 
• Reliability Insights and Excellence: We build tools and frameworks to introspect and improve reliability across Stripe.
• Application and Revenue Platform: Building the powerful and scalable infrastructure that powers the company’s innovative application offerings and supports the seamless processing and management of Stripe’s global transaction volumes.
• Finance Systems: Our mission is to enable effective financial decisions through reliable data, increased efficiency and automation. We support Accounting, Tax, Finance & Strategy (F&S), Finance Operations (FinOps) and Treasury functions across Automation, Data insights and process improvements.
• Service Platform: We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. 
• Team Matching: exact team matching for one of the subteams within one of these orgs will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. 

What you’ll do

We’re looking for Software Engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack
• 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

• 2-12+ years of industry software engineering experience (does not include internships or co-ops)
• Ability to write well-factored algorithms and have experience with commonly used data structures and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Hold yourself and others to a high bar when working with production

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

Payments Intelligence is dedicated to simplifying and scaling online payments for merchants. Our primary objective is to maximize payment performance by optimizing conversion rates, minimizing costs, and managing fraud, regardless of whether a merchant processes payments via Stripe. We are responsible for developing products such as Radar, Authorization Boost and Authentication, focusing on the creation of high-performance services and seamless user experiences. By integrating real-time predictions into Stripe’s core infrastructure, we design ML-driven controls that empower users to manage their businesses with precision.

What you’ll do

We’re looking for a leader who has a strong background in building successful products as well as passion for leading a team to solve challenging and new problems, as well as developing empathetic partnerships with other Stripe teams to understand their use-cases and unlock new capabilities. You’ll have plenty of opportunities to be hands-on building key systems, and will be directly responsible for the successful delivery of large-scale technical efforts as well acting as a technical mentor and leader for Stripe engineers.

Responsibilities

• Enable the team to work with a wide range of systems, processes, and technologies to own and solve problems from end-to-end.
• Support the engineering team in building experiences for businesses that range from high growth startups to leading global companies providing them with the tools so they can run their business 
• Collaborate with stakeholders across the organization such as product, design, infrastructure, marketing and operations.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
• Recruit great engineers, in collaboration with Stripe’s recruiting team
• Develop engineers on the team, helping them advance in their careers
• Contribute to engineering-wide initiatives as a member of Stripe’s engineering management 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

• At least 5 years of experience managing teams that shipped high-quality products.
• An entrepreneurial mindset
• Successfully recruited and built great teams.
• Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs.
• Thrives with a high degree of autonomy and responsibility in an ambiguous environment.
• Technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions.
• Encourage a healthy and inclusive work environment that’s both challenging and supportive.

Preferred qualifications

• Have experience with financial product companies and interest in financial products and markets.
• Strong written and verbal communication skills for different audiences (leadership, users, company-wide).
• Strong quantitative and analytical background.
• Productively lead distributed teams.

Engineering Manager, Machine Learning

Do you want to lead a team building advanced decision systems that directly shape monetisation strategies across the PlayStation ecosystem? Are you passionate about combining machine learning and operational research to solve complex, high-impact business problems at scale? We are building systems that power decisions across a global catalogue of games, including base pricing across lifecycle stages of a game, while balancing revenue growth, player experience, and cannibalisation across titles.

We are looking for an experienced Machine Learning Engineering Manager to lead a hybrid team of Machine Learning engineers and Operations Research experts. You will work on high-impact, executive-visible initiatives, partnering closely with Product, Business, and Engineering teams to translate complex, ambiguous problems into scalable, production-ready systems.

What You’ll Do

Lead and grow a team of machine learning engineers and optimisation specialists, fostering collaboration across disciplines and raising the bar for technical excellence.

Build a high-performing, inclusive team by:

• Coaching and developing engineers across ML and OR disciplines
• Providing clear feedback, career growth, and performance management
• Hiring and retaining top talent

Improve large-scale optimisation systems that:

• Incorporate predictive signals from machine learning models (e.g., demand forecasting, item elasticity).
  
  
• Leverage optimisation frameworks using Gurobi to make decision recommendations under known business constraints.

Partner closely with Product, Business, and regional stakeholders to:

• Translate business goals and constraints into optimisation frameworks.
  
  
• Align on tradeoffs between short-term performance and long-term strategy.
  
  
• Resolve conflicting priorities through data-driven decision-making.

Ensure systems are explainable, trustworthy, and actionable by:

• Providing clear reasoning behind model-recommended decisions.
  
  
• Enabling debugging and traceability across ML and optimisation components.
  
  
• Driving adoption with business and product stakeholders.

You Bring:

• Deep understanding of the relevant ML and OR domains and infrastructure with a track record of delivering complex ML and OR systems into production.
• Proven strong experience leading and developing high-performing ML and OR teams, including: Growing engineers across different skill sets (Machine Learning, ML Infra, Operational Research); Driving career growth and performance evaluation; Hiring and retaining high-performing teams.
• Demonstrated ability to create a strong team culture with high accountability, creativity and continuous improvement.
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality, high-velocity execution.
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority, in fast-moving environments
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

• MS, or PhD in Computer Science, Machine Learning, Operational Research

Preferred Qualifications:

• Hands-on experience with tools such as Gurobi, Snowflake, Databricks, and PySpark.
• Experience in pricing, promotions or marketplace optimisation.
• Experience in modelling demand elasticity and forecasting.
• Experience in the gaming or digital content industry.
• Experience working with globally distributed functions and teams.

Senior Machine Learning Engineer, Optimisation (Gurobi)

Do you want to join a Machine Learning team committed to enhancing the PlayStation

experience for hundreds of millions of users and also game studios? Are you passionate about solving complex constrained optimisation problems at scale? We are building advanced decision systems that drive pricing, promotion planning, and large-scale commercial strategy across the PlayStation ecosystem. These systems directly deliver highly impactful recommendations to our studios and have strong leadership sponsorship.

We are looking for an experienced engineer with deep expertise in mathematical optimisation and operational research, particularly using tools such as Gurobi or OR-Tools, to design and deploy production-grade optimisation systems. You will work within the ML teams in the DTIS organisation, on high-impact, executive-sponsored projects and collaborate closely with Product, Business, and others in Engineering, to transform complex business constraints into scalable solutions.

What You’ll Do

• Design and implement large-scale optimisation models using industry-standard
• solvers, such as Gurobi.

Build decision systems that:

• Incorporate predictive signals from machine learning models (e.g., forecasts and scoring models).
• Operate under multiple operational and business constraints.
• Automatically balance trade-offs across competing objectives.
• Improve existing workflows to maximise the core usage of the Gurobi solver and reduce
• job runtime
• Partner closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems.
• Conduct scenario analysis and uplift forecast to support strategic planning.
• Mentor and guide junior machine learning engineers, providing technical leadership and
• raising the bar of technical quality.
• Thought-lead and influence technology strategy and product roadmap through OR/ML lens, contributing to the development and execution of overall OR/ML strategy.

You Bring:

• Advanced degree (Master’s or Ph.D.) in Operations Research/Applied Mathematics/Data Science, specialising in optimisation problems.
• Strong hands-on experience with Gurobi, OR-Tools.
• Industry experience building, deploying, and owning Gurobi or ORTools-driven optimisation systems in production.
• Strong programming skills in Python, Java, with experience integrating optimisation solvers into cloud-based backend systems
• Excellent communication skills and ability to bridge technical solutions with business objectives, to convey complex concepts to stakeholders with little knowledge of OR or ML.
• Experience working with outputs from machine learning models and incorporating them into downstream decision-making pipelines.
• Excellent resilience and problem-solving skills, with the ability to navigate through fast-changing conditions to land results.

Preferred Qualifications:

• Experience in promotion calendar optimisation using Gurobi.
• Experience with large-scale structured data manipulation and processing, using
• Databricks, PySpark, Snowflake.
• Experience in running online A/B testing for predictive models and improving relevant
• Experience working with custom ML platforms for continuous integration, deployment,and monitoring of machine learning models.
• Experience in the gaming industry.
• Experience working with cross-timezone teams.

Why Join Us?

Be part of a team building brand new tools and platforms used by thousands of developers worldwide. We foster a diverse, inclusive culture where innovation, learning, and collaboration are at the core of everything we do.

The role

We are looking for a strong Software Development Manager to lead high-impact teams within the PlayStation SDK Developer Host Tools division.

This role requires a balanced leader, someone who can manage a high-performing team, while also maintaining strong technical depth to guide architecture, review designs, and support engineers at a code level when needed.

You will operate across both backend distributed systems and web-based and/or native frontends, helping to shape solutions that are both technically sound and highly usable for developers.

What you’ll be doing

• Support, encourage, and help develop a team of engineers, fostering a positive and collaborative work environment
• Assist with technical discussions and contribute to code reviews and system design
• Work together with other groups and teams across different time zones
• Help carry out the team's goals and follow the established plans
• Manage daily tasks while keeping in mind the team’s long-term objectives
• Promote a strong developer experience by focusing on ease of use, performance, and reliability
• Recognize challenges, help remove obstacles, and clarify tasks in situations that are not well defined

What we are looking for

Must have

• 7–10 years of overall software engineering experience with 3–5+ years of experience managing engineering teams.
• Strong technical background with hands-on understanding of backend/platform fundamentals
• Ability to operate at code-level depth when needed (design reviews, debugging, guiding engineers)
• Proven experience designing and delivering complex, distributed systems
• Track record of building and scaling high-performing engineering teams
• Experience working on developer tools, internal platforms, or productivity systems
• Strong ability to influence and align stakeholders across teams
• Excellent communication skills across both technical and non-technical audiences
• Ability to operate effectively in fast-moving, ambiguous environments

Nice to have

• Solid grasp of frontend systems, including JavaScript, React, and React Native
• Familiarity with AI/ML-driven workflows or developer tooling
• Background in performance profiling and developer ecosystems
• Skilled in C# and .NET technologies
• Experience with low-level languages such as Rust and C++

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

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

About Rent the Runway 

Founded in 2009, Rent the Runway is disrupting the trillion-dollar fashion industry and changing the way women get dressed through the Closet in the Cloud, the world’s first and largest shared designer closet. RTR’s mission has remained the same since its founding: powering women to feel their best every day. Through RTR, customers can subscribe, rent items a-la-carte and shop resale from hundreds of designer brands. The Closet in the Cloud offers a wide assortment of millions of items for every occasion, from evening wear and accessories to ready-to-wear, workwear, denim, casual, maternity, outerwear, blouses, knitwear, loungewear, jewelry, handbags, activewear, ski wear, home goods and kidswear. RTR has built a two-sided discovery engine, which connects deeply engaged customers and differentiated brand partners on a powerful platform built around its brand, data, logistics and technology. 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 four 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.

About the Team: 

Our Platform Engineering team is smart, pragmatic, and entrepreneurial. We are reliability-focused and relentlessly passionate about making the closet-in-the-cloud a reality for our customers. We drive the operational capability of creating and advocating best practices to support largely distributed, fault-tolerant systems in the cloud that serve our customers every day.

We practice continuous improvement & process management techniques to put quality into everything we do. We cross-functionally service the Rent the Runway business and support multiple departments across IT, Engineering, Product, Security, Compliance and the Business. 

About the Job: 

As a Site Reliability Engineer (SRE) you will have the opportunity to contribute to technology initiatives in the realm of cloud infrastructure, software delivery and observability. You will be responsible for building and developing tooling, policies, and processes to advance Rent The Runway to higher levels of scale, and performance. You will have the opportunity to lead assigned projects, and be responsible for the overall delivery of these initiatives. You will be part of a high-impact engagement with the Platform Engineering team delivering operational excellence through system automation, self-service and developer tooling that empowers the entire organisation to deliver exceptional results for our customers.

What You’ll Do:

• Utilise technologies and languages like Terraform, Helm, Python, Go, Container Orchestration services including Docker and Kubernetes, and a variety of GCP and services to drive service reliability.
• Implement software development practices to build observability, alerting, tracing, automation, and self-healing capabilities to maintain the highest levels of platform availability.
• End-to-end coordination across platforms, while supporting, identifying, responding, and reporting of issues; then escalating to respective teams for remediation promptly.
• Develop maintenance and operations automation through CI/CD. 

About You:

• Passion for CI/CD: Demonstrated enthusiasm for developing and improving Continuous Integration/Continuous Deployment processes.
• Orchestration Technology: 2 years of hands-on experience with orchestration tools such as Kubernetes and/or Helm.
• Coding and Scripting: Proficiency in Terraform, Ansible, or Helm, with an understanding of CI/CD tools like GitHub, GitLab, and Artifactory.
• Monitoring Solutions Expertise: Practical experience with monitoring, alerting, and logging tools, including Splunk and GCP Monitoring.
• Production Environment Support: 2 years of experience in maintaining production environments across cloud platforms like GCP, AWS, or Azure.
• Software Development: Some experience in developing and delivering products using programming languages such as Bash, Python, Golang, or Java is desirable.
• System Optimisation: Track record of contributions to enhance existing systems, building robust infrastructure, and automating processes to reduce workload.
• Agile Methodology: Experience working within Agile teams, adhering to sprint cadences and delivery timelines.
• Problem-Solving Skills: Ability to effectively triage issues and conduct root-cause analyses when necessary.
• Team Collaboration: Strong team player with the ability to work collaboratively within diverse groups.
• On-Call Duties: Willingness to participate in an on-call rotation, troubleshoot production issues, perform Root Cause Analyses, and share insights with the Engineering and Operations teams.

Benefits:

At Rent the Runway, we’re committed to the happiness and wellbeing 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 is a hybrid role based in our Galway, Ireland, office 2-3 days per week. 

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

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 Team

The Data Engineering team plays a pivotal role in RTR’s technology and analytics ecosystem. The team is responsible for the data warehouse, data ingestion and transformation pipelines, and the infrastructure that enables reliable, high-quality data to flow across the company.

The team partners closely with Data Science, Business Intelligence, Machine Learning, Product, Finance, Marketing, Operations, and Engineering teams to ensure RTR’s data platform is trusted, scalable, well-governed, and able to support critical business decisions.

What You’ll Do

As an Engineering Manager for Data Engineering at Rent the Runway, you will lead the team responsible for building, operating, and evolving RTR’s core data platform. You will combine strong engineering leadership with a deep understanding of data systems, data quality, platform reliability, and stakeholder needs.

You will be responsible for leading a team of talented data engineers, setting technical direction, driving delivery of strategic data initiatives, and ensuring our data warehouse, pipelines, models, and data platform infrastructure are reliable, scalable, secure, and well-governed.

This role is ideal for someone who enjoys building strong teams, partnering across technical and non-technical stakeholders, and leading data engineering work that has meaningful business impact. You will help shape how RTR captures, transforms, governs, and uses data across the organisation.

• Lead and develop a team of data engineers.
• Own delivery of key data engineering initiatives, from planning through execution.
• Drive the evolution of RTR’s data platform, including the data warehouse, pipelines, transformations, orchestration, and supporting infrastructure.
• Partner with Data Science, BI, ML, Product, Finance, Operations, and Engineering teams to deliver trusted data solutions.
• Set priorities for the team, balancing strategic work, stakeholder needs, operational support, and technical debt.
• Promote strong data quality, governance, documentation, lineage, and ownership practices.
• Help the team build reliable data pipelines using tools such as dbt, Python, Prefect, Airflow, or similar.
• Ensure data systems are observable, supportable, and operated with strong production practices.
• Communicate clearly with technical teams, non-technical stakeholders, and senior leadership.
• Build a team culture of ownership, quality, collaboration, and continuous improvement.

About You

• You have experience leading engineers in data engineering, data platform, software engineering, or a related technical area.
• You understand modern data engineering practices, including ingestion, transformation, modelling, orchestration, data quality, and governance.
• You have experience with cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar.
• You are comfortable with SQL and understand how reliable analytical data models are built and maintained.
• You have worked with tools such as dbt, Python, Prefect, Airflow, Looker, Tableau, Fivetran, or similar.
• You can manage technical roadmaps, prioritise effectively, and deliver cross-functional projects.
• You communicate well with both technical and non-technical stakeholders.
• You care deeply about coaching engineers and supporting their career growth.
• You balance strategic delivery with operational excellence and support.
• Experience with CI/CD, cloud infrastructure, Terraform, or data observability is a plus.

Benefits:

At Rent the Runway, we’re committed to the happiness and wellbeing 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

Database Reliability Engineer (DBRE) 

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 Job:

As a Database Administrator/Reliability Engineer, you’ll take ownership of the performance, reliability, and data governance of our cloud-managed database platforms, primarily CloudSQL(MySQL) and MongoDB. A key part of the role is driving data lifecycle management — including pruning, archiving, and retention policies — to ensure our platform remains clean, compliant, and cost-efficient. You'll collaborate with engineering teams to optimize query performance, advance automation efforts, and evolve our database operations toward a modern, cloud-native, infrastructure-as-code model. As part of our broader data platform transformation, you’ll have the opportunity to take on scoped work in support of the Data Engineering team — contributing to the data platform rebuild through your expertise in database performance, structure, and governance. This is a hands-on, cross-functional role that plays a critical part in maintaining a scalable, governed, and low-maintenance data foundation as the business grows.

What You’ll Do:

• Availability & Reliability: Manage and optimise CloudSQL and MongoDB environments for performance, reliability, recovery, and cost.
• Data Administration: Improve platform efficiency through query tuning, schema design, and automation.
• Data Governance: Implement data lifecycle and governance practices (e.g. pruning, retention, access control).
• Change Management: Develop maintenance and operations automation through CI/CD pipelines, ensuring that database data and schema changes along with infrastructure updates are seamless and audited.
• Observability: Implement practices to build database-specific alerting, tracing, and automation that maintain the highest levels of data availability.
• Compliance: SOX-compliant access controls, ensuring data integrity and auditability are baked into the code.
• Operations: Support incident response, root cause analysis, and cross-functional platform initiatives.
• Take on scoped technical delivery work as part of broader platform initiatives.

About You

• You have 6+ years of experience working with relational databases (e.g., MySQL, Postgres) in production, including cloud-managed services like CloudSQL or RDS
• You have 2+ years of hands-on experience with MongoDB, including performance tuning and applying governance or lifecycle practices
• You’ve worked in cloud-native environments (preferably GCP) and are comfortable using Terraform or equivalent infrastructure-as-code tools
• You are proficient in Python (or another general-purpose language) for scripting, automation, or infrastructure workflows
• You have experience implementing CI/CD workflows for database changes and are familiar with Git-based deployment
• You’ve contributed to or enforced data governance policies such as retention, pruning, and access controls
• You’ve made measurable improvements to platform performance, cost, or reliability — including optimizing indexing strategies, query patterns, and database schema design
• You take ownership, communicate clearly, and enjoy collaborating with engineers and data teams
• You’re pragmatic, improvement-driven, and excited to shape the future of database engineering in a cloud-first world

Bonus Points

• Familiarity with Snowflake or BigQuery, including query performance and cost optimization
• Experience working with workflow orchestration tools such as Prefect, Airflow, or similar
• Experience integrating SQL or dbt linters into CI/CD workflows to enforce code quality and platform standards
• Experience designing or maintaining data quality checks, test automation, or schema validation workflows
• Hands-on experience with Kubernetes and Helm to manage database operators and sidecar utilities.
• Background in tooling like Python, Go, or Java to automate away "toil."

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

The Okta Sales Team 

Okta has a vision to free anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of Workforce and Customer log-ins every year. As an Okta AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Okta Platform customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

The South Africa Corporate Sales team is growing!

Our South Africa team is based out of Dublin and has seen huge transformation and growth in the last couple of years. We have an incredible opportunity to win the identity market with our already market leading technology.

The Corporate Sales Account Executive Opportunity - South Africa

The successful Okta Account Executive is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and about driving protection against the biggest identity threats.

As an Okta AE, you will be focused on providing value to C-Suite decision makers on their ability to drive the most secure environment possible for their workforce. You will consistently drive territory growth through driving both net new logos and cultivating and growing existing Okta customers. You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Okta & Auth0 customers.

What You’ll Be Doing:

• Establish a vision and plan to guide your long-term approach to net new logo pipeline generation
• Consistently deliver revenue targets to support YoY territory growth
• Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
• Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers 
• Scope, negotiate and close agreements to consistently meet and exceed revenue quota targets
• Holistically embrace, access, and utilize Okta partners to identify and open new, uncharted opportunities
• Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc)
• Adopt a strong value based sales approach, always looking to bring a compelling point of view to each customer
• Travel as necessary to build and cultivate customer and prospect relationships. Expectation to also be present in our Dublin office for collaboration and training purposes.

What you’ll bring to the role:

• 3 + years success in growing revenue for sophisticated, complex enterprise SaaS solutions.
• Ability to evangelize, educate and create demand with C-level decision makers
• Ability to navigate complex sales cycles with multiple stakeholders from both the customer base and within the internal ecosystem
• Proven success selling into C-suite and building partnership and buy-in with multiple stakeholders
• Significant experience selling in partnership with GSI’s & the wider partner ecosystem
• Excellent communication and presentation skills with audiences of all levels and all technical aptitudes
• Confident and self driven with the humility required to successfully work in teams
• Expertise using a Sales Framework such as MEDDICC, Challenger or Sandler (we use MEDDPICC)
• Local language skills is a plus

As a Corporate Account Executive you will:

• Position Okta Workforce cloud solutions to South African organisations.
• Build and execute on a strong territory plan for your accounts in region
• Target companies in the Corporate to lower Enterprise segment.
• Focus on winning new logos with a land and expand mentality
• Deliver outstanding customer experience to ensure renewals, and capitalise on upsell opportunities.
• Adopt strong rhythm and process using MEDDPICC to manage and close complex deals.
• Become an expert on the Okta & Auth0 value proposition and be comfortable positioning this with both technical and executive level stakeholders.
• Partner with internal functions and manage who and when people are brought into the sales cycle, typically with Solutions Engineering, Alliances, Marketing, Business Value Management and Professional Services (which we call Customer First)

You could be a great fit for this role if you have:

• Experience selling a SaaS product in the South African market
• Sold to organisations in the corporate space
• A results driven, hunter mentality with a strong prospecting process
• Experience using a sales methodology such as MEDDIC
• Strong forecasting rigour
• Passion for technology and how it can help organisations compete and thrive in the Digital Age;
• Experience in value-based selling at senior/C-Level
• The ability to travel to Africa, including customer & partner sites, and visits to our EMEA HQ in London, and the US

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#P21942_3425509

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 Staff Engineer, AI Security.

About the job

As a Staff Engineer, AI Security on the AppSec team, you’ll lead autonomous defense for the AI lifecycle. Build multi-agent frameworks and secure gateways while integrating real-time security gates and identity standards. By mentoring Security and R&D to define the MLSecOps roadmap, you’ll ensure a "secure-by-default" future for agentic workflows and resilient AI innovation.

Responsibilities

In this role, you’ll:

• Serve as the primary subject matter expert for all AI and machine learning security initiatives across security and R&D.
• Design and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions.
• Build and maintain an autonomous security agentic framework that utilizes multi agent orchestration for end to end investigation and alert triage and remediation.
• Develop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem.
• Help govern the AI augmented software development lifecycle by integrating real time security gates into the developer environment and CI/CD pipeline.
• Manage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime. 
• Author company wide AI security standards and implement these security checks across Twilio’s stack
• Implement human in the loop checkpoints and transactional safety protocols for high impact or destructive agentic actions.
• Partner with engineering leadership to set the long term roadmap for identity centric security and automated posture management.
• Act as a knowledge multiplier by mentoring security engineers and developing secure by default paved road templates for R&D teams 

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:

• 8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps).
• Expertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI, specializing in runtime isolation, PII redaction, and defending against indirect prompt injection in agentic environments.
• Hands-on experience with AI-specific frameworks (e.g., MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents/MCP) to threat model and defend against a wide spectrum of risks, including direct/indirect prompt injection, training data poisoning, tool poisoning, and data exfiltration within agentic workflows.
• Proficiency in securing end-to-end AI pipelines, from data ingestion and training to model deployment and monitoring.
• Strong communication skills to translate complex AI risks into actionable business logic for stakeholders. 

Desired:

• Hands-on experience in modern application security tooling including SAST and SCA and DAST with experience adapting these tools to catch AI specific vulnerabilities like indirect prompt injection. 
• Expertise in identity standards including OAuth 2.1 and PKCE.
• Experience with AI Red Teaming and conducting adversarial simulations against Large Language Models (LLMs) and agentic systems.
• Proficiency in at least one general programming language (Python, Go, etc) with experience in container security and workload isolation.
• Proven ability to operate with autonomy and drive high impact outcomes in ambiguous environments by identifying and executing on critical projects without predefined roadmaps or direct supervision.

Location

 This role will be remote 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.

MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.

We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.

You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.

You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.

You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.

As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.

This role can be based out of our Dublin office or remotely in Ireland.

About the team

We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.

We are a distributed team; stretching from our offices in Dublin and NYC to other locations in  Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.

The ideal candidate for this role should have

• 3-5 years of product management experience with a track record of shipping developer-facing tools, integrations or APIs
• 3-5 years of commercial experience developing web applications in Python (the interviews for this position will include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) - including Django, FastAPI and Flask
• Experience with or exposure to Machine Learning and Data Science concepts and tools, including familiarity with common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data analysis libraries (e.g., Pandas, NumPy), as well as an understanding of data pipelines and model deployment
• Experience with AI development, including familiarity with Python AI frameworks and libraries such as Langchain, Langgraph, or LlamaIndex for deploying and managing AI solutions
• Ability to communicate sophisticated technical concepts simply and convincingly to a wide range of audiences
• Ability to distill customer use cases and requirements, write comprehensive business cases and execute on them
• Curiosity, a positive attitude, and a drive to continue learning
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

Position Expectations

• Explore the problem space, build connections with your customer-base, interact with the users in the Python community, formulate the vision and the strategy and maintain the roadmap for your area, keeping it aligned with the company’s strategic priorities
• Deeply understand all aspects of the business — your job is to ensure a business outcome, not just product definition!
• Work closely with the product marketing and engineering teams to design, architect, implement and ship new capabilities of the MongoDB developer experience to delight users
• Collect and analyze data that will drive product decisions
• Work with thought leaders from the respective language communities, establish credibility, and weigh in discussions
• Keep your pulse on software engineering trends across language communities and advocate for new languages, frameworks etc  to be added to our portfolio
• Engage in various go to market activities such as collaborating on a marketing campaign, running a survey, or producing sales messaging

Success Measures

• In three months, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
• In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your  engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
• In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263289662

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

As an ideal candidate, you will have

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience
• Fluency in Hebrew would be a plus

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426116

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.

This role will be based remotely in Ireland.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263346131

The Role

As the CTO of Overstory, you will lead and scale a world-class engineering team that reduces the risk of wildfires and power outages around the world. This is a rare opportunity for a seasoned engineering leader to help guide a commercially successful climate-tech company through its next stage of growth.

Following our Series B, we’re entering a phase of rapid expansion. You will define a compelling technical strategy and build the team to deliver it. This role requires someone who can zoom in and out seamlessly — rolling up your sleeves to solve complex technical problems while also communicating effectively with the board.

Our product sits at the intersection of AI and remote sensing — fields evolving at light speed. The work is exciting, mission-driven, and core to transforming the electric utility industry and creating a more resilient grid. But it comes with ambiguity. We’re looking for someone energized by the unknown, eager to build products customers love through bold, creative approaches. You must be comfortable balancing the needs of a growing business with building scalable solutions for the future — and be ready to move with urgency on both.

Time zone requirement: Europe (GMT/WET, CET) and Eastern United States (EST)

What A Successful Candidate Looks Like

You’re an entrepreneurial startup leader with a track record of leading engineering teams from Series A through Series C and beyond with a mix of boldness and empathy. You understand the ups and downs that are normal at VC-backed startups. You know how to inspire global teams with an exciting vision while offering them the hands-on support to bring it to life. 

You have a strong network to tap, and you are bold in your recruiting. You’re not afraid to hire people who know more than you and to stretch for top talent, and you understand that recruiting is a top priority that requires constant networking and attention. You will build a diverse team that has a high-performing, inclusive, and caring culture.

What You’ll Do

• Lead the development of all of Overstory’s technology, including our software product, our ML models, the internal tools we use and the platform that underlies it all.
• Work in close partnership with our VP Product & Strategy to propel the business forward with the product we are developing. You’ll work to deeply understand our customers' problems so that you can lead bold engineering initiatives to solve them.
• Build a high-performing and diverse engineering team that works remotely from multiple countries, and across multiple time zones.
• Create a compelling technical vision and translate that into a strategy for the next 12-36 months.
• Lead highly productive cross-functional teams that ship a high-quality product on a daily basis. 
• Foster an inclusive culture where everyone can do their best work.
• Create strong lines of communication within your team and partnerships with other key parts of the business.

About You

Traits we value:

• Boldness: You’re not afraid to make hard decisions and take risks, and you always act with urgency. 
• Mission-driven: You care deeply about building great products that help communities adapt to climate change by creating a more resilient electrical grid.
• Empathy: You can attract and develop a diverse team, and you are inclusive in your approach to leadership. 
• Listening: You lead with inquiry. You make people on your own team and across the company feel heard.
• Curiosity: Learning excites you, and you’re not afraid to admit what you don’t know.
• Clarity: You’re a simplifier, not a complicator, and you can communicate clearly to a broad audience without using jargon. 
• Collaborative spirit: Team above ego, and you’re never afraid to get your hands dirty.

Experience we value:

• You have managed a team of 70+ people.
• You have been on a VC-backed startup journey from Series A through Series C or later, and you know how to scale a team successfully through those transitions. You value the entrepreneurial “get it done fast” spirit of the early days, while also setting a standard for excellence that will scale to later stages.
• You have experience working on a complex, ML-based product. Bonus points for geospatial or remote sensing experience. 
• You have a deep understanding of software development processes and are product-centric in the way you think about building technology. 
• You have experienced the value of cross-functional teams where engineering, product and design work side-by-side. 
• You have managed remote teams.
• You have managed global teams.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.

As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.

Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.

This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do 

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
• Set metrics and accountability for platform performance, reliability, and developer productivity

Skills & Experience

• 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
• Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
• Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
• A track record of building reliable, scalable systems used by fast-moving product teams
• Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
• Strong communication skills and the ability to influence across org boundaries
• Experience in data- or ML-heavy products

Nice To Have

• Experience with geospatial data, image processing or mapping technology 

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits.  
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. 

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you.

The Buying Programs Strategy & Operations Team

Okta’s Buying Programs Strategy & Operations team is responsible for closing complex commercial contracts by providing Sales teams with business process and policy insights, as well as strategic and operational support. 

The team sits within the broader Go-To-Market Strategy and Operations organization, which drives strategy through execution for Okta’s durable growth. As a member of GTM S&O, you will have the opportunity to learn about and contribute to Okta's business from all angles, including standardizing policies and systems to scale operations as well as collaborating with product teams to roll out new offerings.

The Manager, Deal Strategy Opportunity

In this role, your primary function will be to strategically and effectively model and structure non-standard proposals and contracts that mutually benefit Okta and its Customers in EMEA. You will be well-positioned as the “pulse” of the business and strategic adviser to the Sales organization. If you have a successful track record of thriving in ambiguity within a rapidly growing environment and solving complex problems, this is your role. 

What you’ll be doing 

Serve as an expert on deal structuring, pricing, commercial terms, processes, and policiesEnsure all non-standard commercial terms are reviewed, approved, and documented correctly in accordance with Revenue Operations requirementsStrategize with Sales and internal stakeholders, including Accounting, Revenue Operations, Legal, Compliance, and Product to structure and position complex dealsProvide Revenue Operations and Accounting teams with context and clarification on complex deal structures and metric treatment related to booking, invoicing, internal reporting, etc.

• Collaborate with and provide guidance and deal insights to cross-functional teams to drive change and proactively design solutions to solve complex problems
• Maintain a holistic view of a deal during contract negotiations; driving internal stakeholder discussions and resolution on customer concerns or key business issues that arise during negotiation
• Build scalable and efficient processes to operationalize excellence to ensure timely and accurate closure of deals
• Identify deal trends and develop and implement best practices with a data-driven mentality
• Partner with sales leadership to identify areas of opportunity and provide detailed insights into the business

What you’ll bring to the role

• Minimum 5 years of Sales support experience in the technology industry with at least 3 years experience in a Deal Desk role
• A willingness to enforce deal governance and compliance policies with a thorough understanding of the SaaS revenue model and reporting 
• Demonstrated project management experience or participation in process improvement efforts
• Excellent communication skills, written & verbal, with the ability to explain complex concepts clearly and effectively across all levels of the organization
• Proven performance in negotiating and closing large enterprise SaaS agreements 
• Aptitude in prioritizing, maintaining attention to detail, and producing timely and quality work under high pressure and tight deadlines with the capacity to lead and engage in multiple initiatives at the same time
• Strong research, analytical, and problem-solving competencies with a growth mindset
• Proficiency in Salesforce and Google Workspace is required with intermediate knowledge of Excel and Tableau preferred

#LI-Hybrid

#LI-IGP12079

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

We’re a mid-sized, globally distributed B2B SaaS company empowering organizations with innovative digital solutions. With a strong product-led culture and international customer base, we’re scaling rapidly—and we’re looking for a Senior Product Operations Manager to bring structure, clarity, and strategic visibility to our growing product organization.

What to Expect

• Drive operational excellence by optimizing product development workflows, team rituals, and cross-functional coordination
• Lead program execution for complex product operations initiatives, ensuring alignment with company objectives and timely delivery
• Improve tooling and automation by identifying, implementing, and maintaining systems that streamline workflows and reduce manual effort
• Analyze reporting and metrics to generate insights and partner with Business Analysts on improvement initiatives
• Manage risks and dependencies by proactively identifying roadblocks and driving resolution across teams
• Develop training and enablement resources, including documentation and onboarding materials for product teams
• Facilitate cross-functional communication across product, design, engineering, marketing, and customer success
• Advocate for product operations to increase alignment, transparency, and collaboration across the organization
• Collaborate globally with distributed teams across time zones and cultural contexts
• Step into a high-impact, visible role within a growing SaaS organization
• Join a collaborative, empowered product team with a strong global culture
• Remote work

What You Need to Be Successful

• 5+ years of experience in Product Operations, Program Management, or a similar role, ideally in a B2B SaaS company
• Proven track record of leading and scaling operational processes in cross-functional product organizations
• Experience with tools such as Jira, Confluence, Asana, and Coupa, plus data/reporting platforms (e.g., Looker, Tableau, Google Sheets)
• Strong analytical skills with the ability to define and track operational KPIs
• Systems-thinking mindset with strong organizational skills, attention to detail, and strategic perspective
• Excellent communication and stakeholder management skills, with the ability to influence across all levels
• Experience working with globally distributed teams
• Familiarity with change management practices
• Exposure to technical domains (e.g., automation, AI/ML, personalization, analytics) is a plus

What’s in It for You

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive stock options to share in the success of our company
• Comprehensive healthcare (health/dental/vision) coverage for you and your dependents
• Fertility and family-building benefits to support your growing family
• Generous paid time off, including vacation days, sick days, education days, compassion days, and volunteer days
• Time off to care for and focus on your growing family
• Annual education budget to support your career growth
• Access to virtual and in-person events, workshops, and team activities for learning and networking
• Wellbeing stipend to support your physical, financial, and emotional health
• Monthly communication (phone/internet) stipend and hardware reimbursement
• New hire office equipment stipend to help you work at your best  

About the opportunity

We are looking for a Director of Product Management to lead our Optimization teams, managing a suite of products and services spanning analytics, personalization, and experimentation.

This is a hands-on product leadership role for someone who is equally strong in strategy, product craft, and team leadership. You will lead a lean team of product managers while staying directly involved in the most important product questions and decisions across the area. In close partnership with Engineering and Design leadership, you will shape the vision, strategy, and execution for a product surface that helps customers understand performance, deliver more relevant experiences, and continuously improve outcomes.

This is your opportunity to play a key role in shaping how digital teams measure and grow the impact of their content in a fast-evolving, AI-driven market. 

What to expect

• Lead, mentor, and grow a team of product managers; provide regular feedback, support career development, and help the team excel in product discovery & delivery.
• Own the product direction for the Optimization area across analytics, personalization, experimentation, and platform capabilities.
• Integrate AI and extensible platform capabilities into the product strategy to unlock automation, insight generation, and content performance optimization at scale.
• Lead cross-functional teams, driving product vision, and executing product roadmaps in a fast-paced, agile environment.
• Work closely with Engineering and Design leadership to define strategy, align priorities, and drive execution across a broad and technically complex product surface.
• Manage and collaborate with stakeholders in Marketing, Customer Success, and Sales to ensure alignment across the full customer journey for our personas.
• Conduct market research and collaborate with customers to capture requirements, gather feedback, and continuously refine the product vision.
• Champion best practices in product management, including agile methodologies, data-driven decision making, and experimentation.
• Drive clarity across multiple workstreams, balancing short-term delivery needs with longer-term strategic bets.
• Help define scope and success criteria for initiatives, and support Product Managers in identifying key trade-offs and driving high-impact decisions within cross-functional teams.
• Contribute to a PM culture that shares user insights, learnings, and research findings early, often, and well.

What you need to be successful

• Experience as a Group Product Manager or Director leading multiple teams in a B2B SaaS context (ideally on a data-focused product).
• Track record of setting product strategy, managing roadmaps, and delivering outcomes across platform and user-facing layers.
• Strong hands-on product leadership: you are comfortable personally driving discovery, defining strategy, making trade-offs, and stepping into execution details when needed.
• Own the definition and execution of group-level goals aligned with company priorities and long-term product vision.
• Proven track record in building and scaling data platforms and API-first products, with the ability to drive innovation and adoption.
• Strong product and technical judgment, with the ability to work effectively across engineering, data, design, and business stakeholders.
• Demonstrated ability to understand new technologies in depth and eagerness to learn about the wide range of technologies with which Contentful integrates.
• Meaningful people leadership experience, including coaching and developing Product Managers and helping teams improve their product craft and impact.
• Strong collaboration and communication skills, with comfort working across product, design, engineering, marketing, and field teams.
• You demonstrate grit and a willingness to dive into the details, taking a hands-on approach to solving product challenges and driving execution.
• Background in AI/ML, CRO, analytics, personalization, or content management domains is a plus.

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.

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

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

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

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

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

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.

Your mission is to drive architecture, technical strategy, and implementation of AI agents for Toast's Team area which is part of the Fintech line of business. You will be one of the most senior technologists in line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. Beyond being on the forefront of agent development, your scope will also include enablement and leadership for how software is developed at Toast through adoption of bleeding edge spec driven development and other paradigms. 

A day in the life (Responsibilities)

• Develop and drive an architectural vision to support the ambitious goals for agents and agent development
• Be an active participant and an authoritative technical voice in FinTech product strategy discussions
• Partner with the Team Management Director of Engineering and Sr. Director of Product to successfully deliver Team agent products from design to production
• Work closely with other Senior Principal Engineers to further the agent patterns and ecosystem across Toast as a whole
• Evolve an ever more efficient way of working through agents and spread it across Toast
• Work directly with the product manager for the Team Agent space, collaborating to drive vision
• Be hands on and actively participate in development on the Team Agent
• Mentor and develop technical leadership across Team, and Fintech

What you'll need to thrive (Requirements)

• 15+ years experience designing and building highly scalable, mission-critical distributed and fullstack software systems
• 10+ years experience building and operating SaaS products, ideally AWS hosted
• 1+ years experience using the latest in coding agents 
• A strong desire to lean all in on agentic development practices
• Passion for building autonomous agents
• Demonstrated ability to drive technical architecture for a company or highly scalable line of products
• A desire to work not only with technologists but also product owners and business leaders
• Ability and desire to draw big lines and boxes on a whiteboard paired with the ability to dig in and understand the ebb and flow of what the code is doing under load
• Ability and desire to communicate and influence at the executive level

What will help you stand out (Nonessential Skills/Nice to Haves)

• Experience designing agentic products
• Experience building systems that leverage LLMs and other ML models
• Experience with enterprise integration using Apache Camel
• Experience architecting event-driven distributed systems using Apache Pulsar
• Experience defining test, build and deploy strategies
• Solid understanding of workforce management
• Solid understanding of restaurant operations

#LI-HYBRID

#BI-Hybrid

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.

The Position:

The mission, should you choose to accept it, is to pioneer and scale Ripple Treasury's liquidity platform into the future. If you enjoy solving complex business problems in a fast-paced, collaborative, and iterative environment this might be the right role for you!

At Ripple, you’ll be a part of makers, breakers, doers, and progressives, who love to solve real problems and meet real customer needs. As an established FinTech leader in the SaaS treasury management space, our vision is to create the next-generation of technology tools for the global, corporate financial office.

We are seeking an innovative and forward-thinking Engineering Manager passionate about building a world-class platform through a world-class team. Driving the technical direction the technology, the evolution of team, and the engineering excellence to make magic happen.

About the Cash Forecasting team:

Cash Forecasting is our AI-amplified treasury solution that helps CFOs and treasury teams move beyond error-prone spreadsheets to achieve real-time cash visibility and predictive accuracy.

The platform integrates seamlessly with major ERPs and banking systems to automatically capture, categorise, and analyse transactional data across multiple currencies and business units. Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%.

You'll work on sophisticated machine learning models, automated variance analysis, real-time data orchestration from diverse financial sources, and intuitive dashboards that allow users to drill down from high-level summaries to individual transaction details. This is a critical platform managing over $100 billion in daily cash flow for enterprise customers across 40+ countries, with the technical challenge of delivering rapid 90-day implementations while maintaining enterprise-grade security and scalability.

What You’ll Do:

• Lead a portfolio of diverse technology projects and a team of software engineers with deep experience in event driven cloud native services, and full stack systems to create solutions that help meet the needs of business and customers
• Collaborate with product managers, and deliver robust cloud-based solutions
• Make decisions on the design, architecture, and delivery of systems
• Build teams and be an active coach and mentor to your team and grow them in their careers
• Drive agile development and analytical methodologies every day
• Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team
• Interact with your team, customers, and peers to share information and improve cross-department processes
• Strive for transparency and partnership between our engineers and our business partners
• Engage in concept discussions, and proposed technology solutions, to meet business objectives and influence such decisions
• Ensure all work meets quality, operational, and architectural standards needed for organisational success
• Be a champion of the YBIYRI ethos (you-build-it-you-run-it), which includes participating in their on-call pager rotation.

Who You Are:

• A leader, first and foremost
• An influential and effective communicator
• Highly skilled at developing people, building high impact teams, and attracting top talent
• Strong proficiency with the software development lifecycle and engineering excellence processes, Agile methodologies, along with skills in leading moderately sized projects
• Technical savvy, allowing you to guide complex technical discussions, weighing the tradeoffs, and advocate for sound decisions
• A skilled operator of Agile practices and data driven methodologies
• Ideally, possess deep knowledge and experience with AWS, and the Ruby/Rails tech stack

Team Enablement & Mentorship:

• Mentor engineers, helping them grow into technical leadership roles
• Break down complex, ambiguous problems into actionable work that distributes effectively across the team
• Champion engineering best practices including observability, incident response, and production excellence
• Share your enthusiasm for tech trends, explore and learn new technologies

Cross-Functional Impact:

• Partner with Product and Customer Success teams to translate business requirements into scalable technical solutions
• Collaborate across distributed teams (Ireland, U.S., Philippines, Australia) to drive alignment on technical approaches
• Influence product roadmap by identifying technical opportunities that create competitive advantages
• Bridge the gap between technical implementation and business value, helping the team prioritise high-impact work

Maximise Agility:

• Identify and eliminate bottlenecks in the development lifecycle that slow down the entire team
• Drive adoption of modern engineering practices that improve developer experience and productivity
• Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities

Ownership & Accountability:

• Own critical systems end-to-end, from design through production support
• Take responsibility for production reliability and proactively prevent incidents
• Step into ambiguous situations and drive them to resolution without needing explicit direction
• Make tough technical trade-off decisions and clearly communicate the reasoning

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.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Accounts Receivable Specialist who will be responsible for the day-to-day activities of invoicing, collections, and payments, while reviewing and processing credit memos and reconciling receivable balances to maintain healthy cash flow. If you love working with numbers, building strong client relationships, and are keen to join an industry leader in fleet technology - we would love to hear from you!

What you’ll do:

As an Accounts Receivable Specialist, your key area of responsibility will be ensuring accurate and timely invoicing, collections, and reconciliation across assigned accounts. You will manage the full accounts receivable cycle - from verifying pricing accuracy on invoices and calculating reseller credits to monitoring deviations from credit standards, processing necessary write-offs or credits, and completing month-end closing tasks. You will work closely with the Accounts Receivable Manager for approvals and serve as the primary customer liaison for invoicing, billing, activations, terminations, support tickets, and order inquiries, ensuring assigned accounts are consistently well-supported.

To be successful in this role, you will be a highly organized, detail-oriented team player with excellent communication skills and the ability to practice discretion in all corporate matters. You must be a problem-solver who can manage multiple priorities simultaneously in a fast-paced environment. In addition, the successful candidate will bring strong analytical skills and a solid understanding of computerized accounting systems like Dynamics AX. Proficiency in Google Suite and Excel is required, along with a proven track record of 3-5 years in accounts receivable and a background in Finance or Administration.

How you’ll make an impact:

• Assure timely and accurate invoicing for assigned accounts

• Assure timely collection of monies due to Geotab related to assigned accounts

• Ensure write-offs for assigned accounts are completed in a timely manner

• Calculate any necessary credits due to assigned Reseller accounts and submit to the Accounts Receivable Manager for approval before posting

• Monitor and report on deviations from credit standards for assigned accounts

• Ensure that pricing on invoices is correct, accounting for concessions

• Serve as the customer liaison for invoicing, billing, activations, terminations, support tickets, and order inquiries for assigned accounts

• Make recommendations to improve the quality of invoicing and collection procedures

• Complete additional tasks at month-end to ensure timely invoicing of all accounts

• Support Geotab global strategic initiatives

What you’ll bring to this role:

• Diploma or degree in Accounting, Finance, Business Administration, or a related field

• 3–5 years of experience in accounts receivable or a similar finance or collections role

• General understanding of computerized accounting systems; knowledge of Dynamics AX ERP is an asset

• Strong analytical and problem-solving skills with the ability to make well-judged decisions

• Technical proficiency with Google Workspace (Sheets, Docs, Slides) and Microsoft Excel

• Excellent verbal and written communication skills with the ability to engage across all levels of the organization

• RMA experience is an asset

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Why job seekers choose Geotab:

THE ROLE

Lead the strategic execution of our international revenue (IR) and accounts receivable (AR) operations, serving as a critical partner within the Order to Cash organization. You will bridge the gap between technical accounting compliance and commercial strategy, advising cross-functional teams on complex global deal structures and revenue recognition. As a strategic leader, you will drive operational excellence, oversee statutory reporting, and champion automation initiatives to scale our global financial processes.

WHAT YOU’LL DO

• GTM & Technical Advisory: Partner with regional Deal Desk and Sales teams to evaluate contract structures, providing clear guidance on ASC 606 compliance and ensuring new business models are integrated seamlessly into our global framework.
• Operational Revenue Leadership: Lead the international revenue close and AR accounting processes, ensuring the highest standards of accuracy in reporting, reconciliations, and intercompany eliminations across multiple jurisdictions.
• Strategic FP&A Partnership: Collaborate closely with FP&A and Treasury to provide highly accurate revenue analytics and forecasts for deferred revenue, RPO, and cash collections, directly influencing global business decision-making.
• Audit & Control Management: Drive the execution of SOX controls and coordinate international statutory audits, delivering precise documentation and proactive insights to internal and external auditors to ensure global compliance.
• AI & Automation Transformation: Champion the deployment of AI-powered tools and intelligent automation to streamline contract reviews and anomaly detection, moving the function toward a data-driven, automated future.

WHAT YOU BRING

• Deep Technical Proficiency: Robust knowledge of ASC 606 within the technology sector, with specific experience managing revenue across SaaS, hardware, and hybrid business models.
• Global Accounting & Statutory Knowledge: Solid understanding of international accounting principles and the complexities of multi-entity consolidations and statutory reporting requirements across different regions.
• Systems & Digital Fluency: Practical experience with enterprise-grade ERPs (like SAP or NetSuite) and a proactive mindset toward adopting machine learning and automation tools to enhance financial workflows.
• Collaborative Leadership: Proven experience managing accounting professionals and the ability to partner effectively across Finance, IT, and GTM functions to solve complex operational challenges.

We are primarily an in-office environment, and therefore, you will be expected to work from the Dublin, Staines or Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI ON-SITE

Okta’s Sales Development Representatives are high energy professionals that drive the demand, awareness, and interest for our market-leading cloud Security solutions. You will partner and collaborate closely with members of our Account Executive and Marketing teams to generate qualified sales leads, set meetings, and yield new deal opportunities. We're looking for professionals with strong organizational and follow up skills who work well in a team

What you'll do:

• Uncover and approach prospects to generate new business opportunities to fuel the
  sales pipeline
• Help create and prioritize strategic target account lists within a defined territory
• Research and build new and existing accounts (i.e.: adding contacts, emails, strategic
  calling)
• Conduct high-level conversations with Senior Executives in prospect accounts
• Evangelize Okta and the On-Demand mode
• Achieve monthly quotas of qualified opportunities and closed business

Who you are:

• Previous prospecting experience
• Experience in working to sales targets, KPIs or under time pressure would be a plus
• Salesforce.com experience
• Excellent written/verbal communication skills
• Strong problem-solving skills
• Highly motivated, driven and self-starting individual who is goal orientated
• Ability to work in a fast-paced, team environment
• Ability to understand customer needs and meet that need with a successful product sale
• Excellent time management/organizational skills
• A passion for the Tech/ Saas industry
• Fluency in German language & English

Why Us? 

• Competitive salary & uncapped commission structure!
• Great benefits including pension & medical
• Catered lunches & snack program
• Okta for Good volunteer program so you can give back to your community
• You’ll attend in-person onboarding in San Francisco to kick off your journey with Okta
• Learn more about our Global xDR team

#LI-ONSITE

P12251_3387469

Okta’s Sales Development Representatives are high energy professionals that drive the demand, awareness, and interest for our market-leading cloud Security solutions. You will partner and collaborate closely with members of our Account Executive and Marketing teams to generate qualified sales leads, set meetings, and yield new deal opportunities. We're looking for professionals with strong organizational and follow up skills who work well in a team

What you'll do:

• Uncover and approach prospects to generate new business opportunities to fuel the
  sales pipeline
• Help create and prioritize strategic target account lists within a defined territory
• Research and build new and existing accounts (i.e.: adding contacts, emails, strategic
  calling)
• Conduct high-level conversations with Senior Executives in prospect accounts
• Evangelize Okta and the On-Demand mode
• Achieve monthly quotas of qualified opportunities and closed business

Who you are:

• Previous prospecting experience
• Experience in working to sales targets, KPIs or under time pressure would be a plus
• Salesforce.com experience
• Excellent written/verbal communication skills
• Strong problem-solving skills
• Highly motivated, driven and self-starting individual who is goal orientated
• Ability to work in a fast-paced, team environment
• Ability to understand customer needs and meet that need with a successful product sale
• Excellent time management/organizational skills
• A passion for the Tech/ Saas industry
• Fluency in German language & English

Why Us? 

• Competitive salary & uncapped commission structure!
• Great benefits including pension & medical
• Catered lunches & snack program
• Okta for Good volunteer program so you can give back to your community
• You’ll attend in-person onboarding in San Francisco to kick off your journey with Okta
• Learn more about our Global xDR team

#LI-ONSITE

P-2032.1_3368680

The Opportunity

Okta is expanding. As we solidify our position as the world’s leading identity provider, we are looking for a high-energy, entrepreneurial Emerging Account Executive to join our growing CEE team. 

This role is designed for a true "Hunter": your primary mission is to capture new logos and establish Okta as the standard for identity in the region, while strategically growing our existing install base.

What You Will Do

• New Logo Acquisition: Act as the primary engine for growth in the CEE region, focusing on identifying and closing new business opportunities within the Emerging segment (under 300 employees).
• Expansion & Growth: Manage and grow the existing install base, working with customers post-sale to accelerate adoption and identify upsell opportunities.
• Active Prospecting: Drive a high-volume outbound strategy to build a robust sales pipeline from scratch.
• Value-Based Selling: Navigate complex sales cycles and qualify opportunities using Okta’s sales methodology to ensure a perfect fit for the customer’s needs.
• Partner Ecosystem: Form long-term relationships with local resellers and system integrators to extend Okta’s market reach and drive regional adoption.
• Collaborative Selling: Partner closely with our Sales Engineers (SEs) to deliver compelling product demonstrations and technical validation that solve real-world customer problems.
• Marketing & Events: Actively collaborate with the Marketing team to drive attendance for regional events, webinars, and roundtables, turning field activity into a qualified sales pipeline.
• Travel: Ability to travel approximately 25% of the time to engage with customers and partners on-site.

What You Bring

• High Energy & Passion: You are genuinely excited about how technology—especially AI—is transforming the way organizations operate and secure themselves in the Digital Age.
• Hunter Mindset: You are a resilient, driven self-starter. You have experience in sourcing and outbounding and thrive in high-activity environments.
• Growth Mindset: You are a lifelong learner with a relentless desire to develop your sales craft; you are coachable, proactive in seeking feedback, and view every challenge as an opportunity to grow.
• SaaS Experience: A track record of success selling SaaS; experience in value-based selling at the C-level is essential.
• Team Player: A collaborative spirit with a desire to work alongside SEs and Marketing to win as a team.
• Ecosystem Awareness: A strong desire to build and nurture a professional network within the CEE reseller and partner community.
• Communication: excellent verbal and written communication skills. Fluency in German and/or French is a plus.

You might also have:

• Understanding of and experience with Identity & Access Management, Single Sign-on and API-based solutions is always great but definitely not a must have
• BSc/BA degree or equivalent preferred (but not essential)

#LI-Onsite 

P10375_3432217

The Role

Accelerate your career by joining Okta as our AI Operations Lead. In this mission-critical individual contributor role, you will serve as the central source of truth for all AI flows—both internal and product-facing—across the company. You will be the map-maker for our AI ecosystem, ensuring that as we innovate at the speed of SaaS, we maintain a clear, documented, and compliant understanding of what data fuels our AI and how it is used.

This is a high-autonomy role designed for a proactive operator who can navigate complex issues and build cross-functional bridges in a remote-first environment. You will report into the Sr. Director, AI Legal and work closely with Legal, Engineering, Privacy, and Security stakeholders.

What you’ll be doing

• The Enterprise AI Command Center: Establish and oversee the enterprise-wide AI Asset Library, serving as the definitive, central source of truth for all models, internal workflows, and third-party integrations.
• Revenue Acceleration & Path Clearing: Act as a strategic liaison between Legal, Engineering, and Sales to build cross-functional bridges that turn complex hurdles into competitive advantages, directly accelerating our market growth.
• Data Provenance & Lineage Architecture: Map and document the entire lifecycle of data, from source origins to final usage, ensuring every AI output is explainable, audit-ready, and legally sound.
• Operationalizing Ethics at Scale: Design and execute high-velocity operational workflows (AIIAs and Model Cards) to assess privacy, ethical, and legal risks, ensuring we reach production with speed and safety.
• Strategic Vendor Gatekeeper: Maintain and evolve procurement processes to ensure every new AI tool meets our internal trust standards before it is integrated into our ecosystem.
• Rigorous Third-Party Auditing: Conduct deep-dive operational audits of vendor AI capabilities, evaluating data retention and opt-out mechanisms to protect our most valuable company and customer data.
• Policy-to-Playbook Transformation: Translate high-level governance into actionable, high-performance playbooks, ensuring compliance is built into our daily operations rather than treated as an afterthought.
• Global Content Curation: Independently lead the effort to ensure our AI messaging remains consistent, clear, and authoritative both internally and for our global customer base.
• Remote-First Internal Diplomacy: Expertly navigate complex stakeholder interests across our global organization to ensure AI initiatives move forward at pace without compromising security.
• Critical Incident Response Leadership: Provide the essential data maps and asset intelligence needed by Legal and Security to resolve potential incidents with precision and speed.

What you’ll bring to the role

• AI Fluency & Technical Intuition: You are an AI-first thinker. You have a practical understanding of how LLMs and Generative AI tools function. You aren’t intimidated by the black box of AI; instead, you are driven to document its boundaries and ensure its outputs are reliable and compliant.
• 5+ years of experience in Operations, Privacy Ops, or Program Management within a fast-paced SaaS technology company.
• Expert Knowledge of SaaS Ecosystems: You understand cloud architecture, APIs, and the nuances of how data moves in a multi-tenant environment.
• Privacy-First Mindset: Significant experience with privacy frameworks (GDPR, CCPA) and a deep understanding of why data residency and usage rights are critical in the AI era.
• Masterful Communication: Ability to navigate internal politics with grace, building consensus across diverse teams (from DevOps to Legal) without formal authority.
• High Autonomy: Proven track record of thriving in a remote-first environment with little oversight; you are a self-starter who creates their own runbook.
• Agility in Ambiguity: You are comfortable working in the gray space. As AI standards and regulations evolve daily, you provide the steady hand and structured framework necessary to turn uncertainty into a competitive advantage. You build the foundational systems that allow our teams to move at high velocity without hitting regulatory or operational deadlocks.
• Grit and Emotional Intelligence: A team-oriented professional with a sense of humor who can stay calm while managing high-stakes projects.

#LI-RB4

#LI-HYRBID

The Opportunity

We are seeking an experienced EMEA Benefits Manager to oversee and optimize our regional benefit programs. Based in Dublin and reporting to our US-based leadership, you will lead the implementation, day-to-day administration, and compliance of Okta's Total Rewards offerings across the EMEA region.

The ideal candidate is a data-driven problem solver with strong business acumen, capable of translating complex data into financial projections and actionable strategy. You must be an execution-focused leader who excels at managing multiple deadlines, building cross-functional relationships, and influencing stakeholders at all levels of a global, matrixed organization.

What you’ll be doing

• Deep Regional Expertise: Serve as the subject matter expert for complex, region-specific programs, particularly focusing on pension governance, healthcare trusts, and employee councils across EMEA.
• Vendor Procurement & Governance: Own the full vendor lifecycle for regional insurance carriers, brokers, and third-party administrators. Lead comprehensive onboarding, overseeing contract negotiations, security protocols, and data privacy reviews, while driving ongoing accountability through SLAs and Quarterly Business Reviews (QBRs).
• Strategic Administration & Integration: Manage the end-to-end administration of health, retirement, and wellbeing initiatives. Drive seamless data exchange between vendors, payroll, and internal HR platforms to minimize administrative friction and maximize data integrity.
• Compliance, Risk & Benchmarking: Proactively monitor the EMEA regulatory landscape and conduct regular audits to ensure strict compliance with local laws. Conduct regional market research to ensure offerings remain highly competitive.
• Cross-Functional Partnership: Partner closely with EMEA Payroll, People Operations (POPS), Finance, and Legal to ensure flawless program delivery, accurate taxation, and cohesive alignment across G&A functions.
• Data & AI Integration: Utilize Workday and ServiceNow to track and report on key metrics. Leverage AI tools to analyze plan utilization, forecast costs, and personalize employee communication.
• Program Evolution: Challenge the status quo to streamline administrative burdens. Document, implement, and automate processes in close partnership with the People Operations team.
• Employee Experience & Escalations: Act as the highest level of regional escalation for complex benefits inquiries, ensuring a high-touch, empathetic, and seamless experience for Okta employees.
• Communication & Education: Act as a subject matter expert for the People & Places community, managers, and employees, ensuring clear, effective delivery of benefit updates and educational resources.
• Global Strategy Alignment: Maintain the team’s global project portfolio via SmartSheets and assist with overarching global rewards strategy initiatives as required, ensuring EMEA is represented in global design.

What you’ll bring to the role

• Experience: Degree in a related discipline with 8+ years of experience in a regional Benefits role within a multinational environment.
• EMEA Expertise: In-depth knowledge of complex benefits regulations, labor laws, and tax compliance across the EMEA region.
• Analytical & Financial Rigor: A metrics-focused mindset with the ability to interpret quantitative/qualitative data, project financial impacts, and translate insights into actionable business recommendations.
• Execution & Project Management: Highly execution-driven with the ability to manage multiple, deadline-focused initiatives with high precision and autonomy in a dynamic, fast-paced environment.
• Relationship Building & Influence: A track record of building trust across a matrixed organization, with the communication skills to present information effectively and influence diverse stakeholders at all levels.
• Technical Proficiency: Strong command of Google Workspace and Workday, AI tools (i.e. Gemini, Notebook LM).

#LI-RB4

#LI-HYBRID

P24947_3396396

Location: We’re seeking dynamic and motivated individuals to join our team in one of our EMEA HQ, Dublin, Ireland. Our interns will be in-person. You will work in-person in the office Monday through Thursdays and can work remotely on Fridays. 

About the internship:

The Customer Success Team at Okta ensures our customers achieve their business goals using our technology. We bridge the gap between Okta’s innovations and our customers’ priorities, driving long-term value and strategic alignment.

The Okta Customer Success Intern will be involved in all stages of the customer journey: onboarding, deployment, product adoption, and renewal. You will gain hands-on experience in how a Customer Success professional strategically partners with global brands to maximise their outcomes with Okta.

You will gain experience in:

Business: Mapping the customer journey from initial setup to full adoption; learning Customer Success concepts like recurring revenue (ARR), ROI, and success planning.

Technical: Building knowledge in Identity Access Management (IAM) and Zero Trust; the opportunity to earn your Okta Professional Certification; and applying AI to CS best practices.

Functional: Developing presentation skills for executives; communicating technical concepts clearly; and collaborating with cross-functional teams.

What You’ll Get Do:

• Learn to communicate the business value of Okta’s products and solutions through presentations and storytelling.
• Observe Customer Success Managers to understand onboarding plans, competitive landscapes, and IAM best practices.
• Learn the Scale Customer Success motion and playbook.
• Collaborate with teams like Sales, Engineering, Renewals, Marketing and Customer Advocacy to drive measurable business outcomes. 

Who we are Looking For:

• Academic Journey: Currently pursuing a Bachelor’s or Master’s degree with a graduation date between December 2026 and Summer 2027.
• Problem Solvers: A proactive learner with a sharp eye for detail and the ability to solve complex problems through data and analysis.
• Communication: A strong communicator and storyteller, comfortable presenting ideas and research to diverse audiences.
• Project Management: Ability to manage multiple projects simultaneously, from performing market research to generating actionable reports.
• Tech Passion: A genuine interest in building a career within the SaaS/Cloud space, with a specific curiosity for how Identity secures the world’s leading brands.

Availability: Able to commit to a full-time 12-week internship (Summer 2026).

Okta’s Intern Program

As an intern at Okta, you’ll do real work that matters. From day one, you’ll own meaningful projects that directly contribute to our mission and get a front-row seat to how the world’s leading Identity company operates.

You won’t do it alone, you’ll have the dedicated support of a mentor and manager to help you navigate your project and master new skills. Beyond the work, you’ll join a vibrant community of fellow interns and Okta employees. You’ll have the chance to grow professionally through exclusive events like our Executive Speaker Series, technical "Brown Bag" sessions, and, of course, plenty of social events to ensure you’re having fun along the way.

The Global Enablement (GET) team

The Global Enablement Team (GET) focuses on aligning people, processes, and priorities with relevant learning, coaching, and communication delivered at the right time. This role is instrumental in equipping our Okta sales, presales and channel partners with the knowledge, skills, and tools they need to promote and implement Okta’s solutions successfully. 

The Partner Enablement for Partner Led Countries Role

Reporting to the Director of Partner Enablement, this role will join our growing Global Partner Enablement team to enable select partners to self-sufficiently drive Okta business in emerging markets. Working with cross-functional teams aligned to the partner-led objectives, this role will be responsible for designing and executing on enablement strategy and product knowledge that meets partner needs to excel in a partner-driven approach. This role requires both virtual and in-person enablement with the potential for international travel as the needs grow to other markets. 

*This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment.  

What you’ll be doing 

• Develop and execute on an enablement strategy and product knowledge that takes partners from initial recruitment through "Tech Champion" status.
• Adapt internal trainings, enablement resources, sales plays, and technical enablement into bespoke partner content through a train-the trainer model in which the partner cascades content to other partners within their ecosystem.

• Ensure partners are experts in Okta onboarding, product sales and presales, service delivery and customer success training. 
• Train partner to excel at  self-service tools, including self-quoting (New, Upsell, and Renewals), lead management, and deal registration.
• Educate partners on partner program elements including licensing models, pricing strategies and incentives.
• Collaborate with cross functional teams to expedite content creation and partner availability. 

What you’ll bring to the role & what we’re looking for

• 5-10 years in Channel Enablement or Sales/ Presales Training
• Familiarity and proven understanding of Identity Security and Access Management (IAM)
• Understanding of Quote-to-Cash (QTC) processes and CRM/Partner Portal workflows.
• Strategic Mindset: Proven ability to move a territory from a direct-sales motion to an independent, partner-led model.

Preferred Skills:

• Familiarity with project management methodologies.
• Experience in adult learning principles or certifications 

#LI_P24663

#LI_IG

#LI-Dublin

Okta’s Sales Development Representatives are high energy professionals that drive the demand, awareness, and interest for our market-leading cloud Security solutions. You will partner and collaborate closely with members of our Account Executive and Marketing teams to generate qualified sales leads, set meetings, and yield new deal opportunities. We're looking for professionals with strong organizational and follow up skills who work well in a team

What you'll do:

• Uncover and approach prospects to generate new business opportunities to fuel the sales pipeline
• Help create and prioritize strategic target account lists within a defined territory
• Research and build new and existing accounts (i.e.: adding contacts, emails, strategic calling)
• Conduct high-level conversations with Senior Executives in prospect accounts
• Evangelize Okta and the On-Demand mode
• Achieve monthly quotas of qualified opportunities and closed business

Who you are:

• Previous prospecting experience
• Experience in working to sales targets, KPIs or under time pressure would be a plus
• Salesforce.com experience
• Excellent written/verbal communication skills
• Strong problem-solving skills
• Highly motivated, driven and self-starting individual who is goal orientated
• Ability to work in a fast-paced, team environment
• Ability to understand customer needs and meet that need with a successful product sale
• Excellent time management/organizational skills
• A passion for the Tech/ Saas industry
• Fluency in Dutch language & English

Why Us? 

• Competitive salary & uncapped commission structure!
• Great benefits including pension & medical
• Catered lunches & snack program
• Okta for Good volunteer program so you can give back to your community
• You’ll attend in-person onboarding in San Francisco to kick off your journey with Okta
• Learn more about our Global xDR team

#LI-Onsite

P12795_3426464

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).

This role can be Office/Hybrid/Remote based within the UK

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

This role can be Office/Hybrid/Remote based within Ireland

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

This role can be Office/Hybrid/Remote based within Ireland

We’re looking to add a Staff Software Engineer to join the Engage Product Group in Flywheel Product Line. 

Engage Product Group mission is to reinvent HubSpot GTM Sales teams by supercharging our sales reps with world-class AI to help them hit and exceed plans. We build, evolve and maintain sophisticated AI products that meaningfully increase closed won rates by qualifying inbound leads with AI, providing intelligent insights and coaching, and generate highly-customized demo instances for every HubSpot prospect using multi-agent systems.

For this specific role, we are building a reusable, reliable, and intelligent context layer for GTM AI and agents. Our goal is to centralize insight storage, search, and retrieval; enabling faster experimentation; improving insight quality through evaluation and versioning; and powering flagship agents and guided experiences with consistent, high-quality context. 

Staff Software Engineers are highly productive, impactful, and trusted engineers who leverage their skills and knowledge to work autonomously on the most complex projects and set technical direction. These problems can be broad, deep, and often span across multiple teams and product areas. Context will be your primary focus for the next few months, but we expect that you will deploy to other teams in the group over time as well.

As a Staff Software Engineer on Engage Context team you will:

• Write and ship production code that has meaningful business and GTM impact
• Disambiguate, design and build new AI features, agents and insights, each contributing to GTM efficiency and user or prospect experience
• Work with a small cross-functional teams of product engineers, ML engineers, PMs and designers
• Collaborate with HubSpotters and GTM folks all over the company
• Get deep exposure to how HubSpot GTM works

We’re looking for engineers who have a track record of strong business and product mindset, who enjoy working with real GTM challenges and can navigate ambiguity with high levels of autonomy and passion.

We work with Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we’d like to see:

• Experience in building AI products, especially but not only in GTM context, with a track record of tackling evaluations and innovation on top of frontier models advances.
• Experience in building products used by GTM teams - sales or service - and drive for using technology to drive business outcomes.
• Experience working closely with product management, designers and GTM teams, to help disambiguate problems, opportunities and co-create a solution.
• A passion for clean, scalable code and engineering excellence.
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall product architecture.
• Coaching and mentorship experience.

This role can be Office/Hybrid/Remote based within Ireland

We’re looking to add a Staff Software Engineer to join the Engage Product Group in Flywheel Product Line. 

Engage Product Group mission is to reinvent HubSpot GTM Sales teams by supercharging our sales reps with world-class AI to help them hit and exceed plans. We build, evolve and maintain sophisticated AI products that meaningfully increase closed won rates by qualifying inbound leads with AI, providing intelligent insights and coaching, and generate highly-customized demo instances for every HubSpot prospect using multi-agent systems.

For this specific role, we are building a reusable, reliable, and intelligent context layer for GTM AI and agents. Our goal is to centralize insight storage, search, and retrieval; enabling faster experimentation; improving insight quality through evaluation and versioning; and powering flagship agents and guided experiences with consistent, high-quality context. 

Staff Software Engineers are highly productive, impactful, and trusted engineers who leverage their skills and knowledge to work autonomously on the most complex projects and set technical direction. These problems can be broad, deep, and often span across multiple teams and product areas. Context will be your primary focus for the next few months, but we expect that you will deploy to other teams in the group over time as well.

As a Staff Software Engineer on Engage Context team you will:

• Write and ship production code that has meaningful business and GTM impact
• Disambiguate, design and build new AI features, agents and insights, each contributing to GTM efficiency and user or prospect experience
• Work with a small cross-functional teams of product engineers, ML engineers, PMs and designers
• Collaborate with HubSpotters and GTM folks all over the company
• Get deep exposure to how HubSpot GTM works

We’re looking for engineers who have a track record of strong business and product mindset, who enjoy working with real GTM challenges and can navigate ambiguity with high levels of autonomy and passion.

We work with Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we’d like to see:

• Experience in building AI products, especially but not only in GTM context, with a track record of tackling evaluations and innovation on top of frontier models advances.
• Experience in building products used by GTM teams - sales or service - and drive for using technology to drive business outcomes.
• Experience working closely with product management, designers and GTM teams, to help disambiguate problems, opportunities and co-create a solution.
• A passion for clean, scalable code and engineering excellence.
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall product architecture.
• Coaching and mentorship experience.