Location: New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building.
What you’ll do
- Work with select SMB customers to build and test frontier agent capabilities that run their revenue-generating workflows.
- Prioritize the highest-value workflows to automate and build the skills, evals, and agent systems that make them reliable and performant.
- Turn customer learnings into product requirements for connectors, skills, and agent capabilities, and partner with cross-functional product teams to build.
- Drive SMB acquisition through personalized demos, case studies, and paid and lifecycle channels, measured on acquisition targets and CAC.
- Drive usage expansion across our existing SMB base through personalized onboarding, lifecycle, and product growth levers.
- Work with partnerships and growth marketing teams to design, execute, and package customer case studies to distribute across paid, organic, and partner channels.
Qualifications
- 2–4 years of total work experience with a strong academic record.
- 2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by some operating experience.
- You've run, or worked closely alongside, real marketing workflows: paid social, lifecycle, CRO, or SEO. You know what "great" looks like to an operator.
- You already use agents to automate complex processes and are comfortable writing prompts, skills, and building end-to-end agent systems.
- Strong written and verbal communication; comfortable running a working relationship with customers.
- Comfortable with SQL. You can pull your own cohorts, validate your own segments, and build your own dashboard & reporting systems.
- Operates at high velocity. You ship daily and thrive in fast-paced, early-stage environments where processes are still being defined.
Nice to have
- Direct experience with Shopify, Klaviyo, Meta Ads Manager, TikTok Ads, or similar operator tools.
- Experience in a forward-deployed, solutions, or customer-facing product role.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the native mobile experiences that bring agentic AI and search into people’s everyday lives. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have deep experience building exceptional mobile products: in the application, please highlight the mobile apps or platform experiences you are most proud of shipping.
THE ROLE
The Mobile Apps team owns the end-to-end Perplexity experience across iOS and Android. This includes how users discover and onboard into the product, search and take action on the go, use voice, camera, notifications, widgets, and other native capabilities, manage subscriptions and preferences, and return to ongoing work across devices.
You will identify the highest-leverage mobile user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in mobile platform constraints and opportunities, and an exceptional eye for detail.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in how people use AI on mobile.
- Envision new mobile experiences and deliver a long-term vision across iOS and Android.
- Understand the levers for mobile product-led growth, engagement, and retention.
- Work closely with engineering and design to align product expectations with native platform capabilities and constraints.
- Work with research to evaluate and steer nondeterministic models into high-value outcomes for mobile users.
- Have conviction to make difficult product decisions in the face of uncertainty.
- Develop a deep understanding of mobile user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation.
- Make complex AI behavior understandable and controllable on small screens through clear interaction models, thoughtful defaults, and well-designed feedback.
- Drive alignment when improvements span iOS, Android, web, backend systems, or multiple teams.
- Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience shipping and scaling high-quality consumer mobile products across iOS or Android.
- Deep understanding of native mobile interaction patterns, platform capabilities, performance, and reliability.
- Experience with rapid mobile prototyping, experimentation, and data visualization.
- Experience building data-driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the foundational AI capabilities that make our products more powerful, extensible, collaborative, and useful. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion for turning frontier AI capabilities into coherent products: in the application, please highlight the AI systems, platforms, or workflows you are most interested in advancing.
THE ROLE
The AI Capabilities team owns the product structures that turn intelligence into repeatable, composable experiences. This includes Skills that teach Computer how to work, collaboration that helps people and agents build together, artifact generation that turns ideas into polished outputs, and Projects that organize context, knowledge, and ongoing work.
You will take these capabilities to the next level by identifying the highest-leverage user and platform problems, translating them into clear product direction, and partnering closely with design, engineering, data science, and research to deliver experiences that feel powerful, understandable, extensible, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in agentic systems, and an exceptional ability to turn technical primitives into products people can use.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in reusable, composable AI capabilities.
- Envision and deliver a long-term vision for Skills, collaboration, artifact generation, and Projects.
- Understand the levers for capability discovery, adoption, reuse, sharing, and ecosystem growth.
- Work closely with engineering and design to align product expectations with model, tool, and platform capabilities.
- Work with research to evaluate and steer nondeterministic models, tools, and agents into high-value outcomes for users.
- Have conviction to make difficult product decisions in the face of uncertainty.
- Develop a deep understanding of how individuals and teams create, customize, collaborate, and build repeatable workflows with AI.
- Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, permissions, and well-designed feedback.
- Drive alignment when capabilities span Computer, Search, Projects, artifacts, connectors, or multiple teams.
- Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience building AI-native productivity, collaboration, platform, or developer-facing products.
- Experience with agentic systems, tool use, evaluations, extensibility, or workflow orchestration.
- Experience with rapid prototyping and designing systems that produce high-quality artifacts.
- Experience building data-driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building.
What you’ll do
- Drive activation, repeat usage, and paid conversion across web, mobile, and desktop.
- Build and iterate the levers that move them: upsells, onboarding, upgrade flows, lifecycle, and design new agent-driven growth loops.
- Grow adoption of new products and cross-platform conversion: identify the optimal set of users, surfaces, and moments to introduce them, and drive repeat usage.
- Ship a high volume of experiments, from hypothesis and metric design through analysis, and turn the learnings into roadmap bets that grow our metrics.
- Analyze funnels, cohorts, and segments to find the highest-leverage opportunities and define the metrics behind them.
- Protect product quality while improving conversion, holding guardrails on retention, support volume, and margin.
- Write crisp specs and experiment briefs and drive execution across engineering, design, data, and marketing.
Qualifications
- 2–4 years of total work experience with a strong academic record.
- ~2 years in investment banking or consulting, followed by startup experience in a growth, product or founder role.
- Fluent in SQL, comfortable with experiment design and statistical readouts.
- Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week.
- Thrives in ambiguity where processes are still being defined.
Nice to have
- Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation.
- Experience shipping across web and native mobile surfaces.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the core agentic and search experiences. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
THE ROLE
The Core Experience team owns the foundational interactions that define how people use Perplexity every day. This includes how users begin and continue work, understand what the product is doing, navigate and find what they need, manage their context and preferences, collaborate with others, and return to ongoing work across platforms.
You will identify the highest-leverage user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, and an exceptional eye for detail.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in enterprise industries.
- Envision new experiences and deliver a long-term vision.
- Understanding of levers for product-led growth and retention.
- Work closely with engineering and design to align product expectations and capabilities.
- Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
- Have conviction to make difficult product decisions in the face of uncertainty.
- Develop a deep understanding of user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation.
- Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, and well-designed feedback.
- Drive alignment when improvements span multiple product surfaces, platforms, or teams.
- Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience with productivity and knowledge work products.
- Experience with prototyping and data visualization.
- Experience with building data driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; New York City
Perplexity is looking for a technical program manager to be the connective tissue between our model providers, engineering, and product teams, driving our core inference platform forward.
Perplexity runs one of the highest-throughput inference stacks in the industry, serving Ask, Computer, and API traffic across a large and constantly shifting portfolio of first-party and third-party models. This role sits at the intersection of product, engineering, and finance: you'll orchestrate across model providers and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself. The ideal candidate has strong technical judgment, thrives coordinating across teams and external partners with competing timelines, and is energized by building the operating model for a function that doesn't have much precedent yet.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
WHAT YOU'LL DO
- Execute the roadmap for the inference platform request handling, rate limits and quotas, usage controls, and the reliability and observability surface engineering and product teams depend on
- Be the connective tissue between model providers and Perplexity's engineering and product teams coordinating onboarding, launch readiness, and rollout for new models and capacity
- Drive latency, throughput, uptime, and cost-efficiency as core execution metrics, surfacing tradeoffs between them rather than letting them become side effects
- Run the operating model for model-release and optimization programs, including day-zero launches, across performance engineering, infrastructure, and product teams
- Lead cross-functional delivery for inference-stack changes, from planning through launch and post-launch validation
- Build the mechanisms that make releases predictable rituals, dashboards, launch checklists so inference releases stay low-risk at Perplexity's scale
- Partner with GPU capacity and compute teams to reconcile execution decisions against cost, capacity, and vendor constraints
QUALIFICATIONS
- Strong experience with technical program management or product management in infrastructure, distributed systems, or ML/model-serving products
- Direct experience with production LLM or ML inference understanding what makes serving fast, reliable, and cheap rather than just what a roadmap slide says about it
- Comfort orchestrating across external partners and internal engineering teams with competing priorities and timelines
- Experience with data and metrics, and the judgment to surface difficult tradeoffs between latency, throughput, uptime, and cost
- Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on
- 6+ years of combined technical program management or product management experience
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As an Applied Scientist at OnePay, you’ll be at the forefront of our AI and Machine Learning innovation! You will:
- Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closely with product, engineering, and analytics teams.
- Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings.
- Design and optimize search and retrieval systems to improve discoverability, relevance, and user satisfaction.
YOU BRING
- 7+ years of experience building and productionizing ML/AI models that deliver measurable business impact.
- Experience building and productionizing LLM-powered applications, agentic systems, and traditional ML (ranking, recommendations, personalization).
- A strong technical background with a degree in Computer Science, Data Science, Applied Mathematics, or a related field.
- Fluency in collaborating with Product, Engineering, and Analytics teams to bring AI solutions from ideation to deployment.
- Drive and proactivity – everyone here is a builder and executor.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
- Initial Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems.
As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard.
Key responsibilities
Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet
Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes
Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling
Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets
Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization
Minimum qualifications
Have hands-on experience building and operating large-scale observability or monitoring infrastructure
Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis
Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale
Are comfortable digging below the application layer into the kernel, the network stack, or the hardware
Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team
Preferred qualifications
10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure
Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility
Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization
Kernel- and syscall-level debugging experience and performance engineering craft
Experience profiling or instrumenting accelerator workloads
Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends
Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£325,000
—
£390,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Mississauga
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and reusable patterns for reasoning, tool use, and coordinated action. This role will be part of a team which drives enterprise-wide AI enablement by defining strategy, evangelizing adoption, and delivering measurable business impact. It identifies and prioritizes high-value AI use cases, builds scalable AI solutions, and creates playbooks and patterns to accelerate implementation. Through innovation hubs and close collaboration with product, engineering, and operations, the team transforms prototypes into production-ready solutions. Additionally, it invests in talent development, equipping teams with the skills and tools to embed AI across the organization and leads governance of AI solutions across the organization.
To succeed as a Principal AI Engineer at PointClickCare, you need to be highly innovative, creative, accountable, collaborative, and passionate. The Principal AI Engineer partners with cross-functional teams to transition prototypes into secure, observable production solutions and establish playbooks, evaluation frameworks, and platform components to accelerate adoption. Additionally, the Principal AI Engineer mentors' teams and ensures alignment with Responsible AI, security, and regulatory requirements.
Responsibilities
- Set the technical vision and reference architecture for agentic AI across applications defining org-wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.
- Build and govern reusable platform components—model broker & multi-model routing, orchestration services, evaluation harnesses, prompt/versioning stores, and telemetry—to accelerate adoption across teams.
- Develop and refine advanced prompting strategies for LLMs.
- Drive cross-functional roadmaps and integration standards across business teams—setting API/versioning contracts, optimizing LLM/agent cost performance, and mentoring engineers to raise the bar.
- Establish and evolve evaluation frameworks for LLMs and agentic systems, including offline and online testing methodologies, safety assessments, quality metrics, and business outcome dashboards.
- Be the go-to Subject Matter Expert (SME) and internal AI expert for relevant enterprise applications, senior leadership, vendors, business partners and internal team members while staying ahead of emerging trends and advising on best practices
- Identify, prioritize and execute AI use cases with clear business outcomes
- Be a coach/mentor for other engineers on AI maturity, including performing peer reviews, leading technical knowledge sharing sessions, establishing engineering best practices, approving pull requests and improving the overall quality of the technical solution
Qualifications we are looking for:
Proven leadership shipping agentic AI at scale across multiple products, setting organization wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.
Must Have - Expertise & Hands-on experience in Agentic AI Tech stack primarily in Microsoft (Azure AI Foundry, Azure OpenAI, and Azure AI Document Intelligence) and Anthropic (Claude Cowork and Claude Code).
Must Have - Advanced Python & Java expertise in production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as Anthropic, LangChain, and Foundry.
RAG/agent data pipeline expertise: document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning—with evaluation of harnesses for quality, cost, and latency
Extensive knowledge and understanding of enabling and maturing AI in a SaaS landscape.
Model serving and cost/perf optimization: experience with model broker patterns, multi-model routing, and serving stacks
Must Have - knowledge of relational databases (e.g. Microsoft SQL Server, PostgreSQL)
Experience using system and performance monitoring tools (e.g. AppDynamics, Kibana, OpenTelemetry)
BSc/BA in Computer Science or a related degree
Bonus points for:
· Experience with Docker, Kubernetes and Istio
· Experience with AWS/Azure cloud services or equivalent
· Experience with Service Oriented Architecture
· On-call experience with production grade systems
#LI-AV1
#LI-Hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $191,700-213,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Limassol, Cyprus
Workplace: hybrid
Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience.
Now we look for a
Data Scientist
to join our ML team
Job Responsibilities
Machine Learning & Modeling
• Develop and train machine learning models for prediction, classification.
• Build and evaluate regression, classification, clustering, and time-series models.
• Design feature engineering pipelines and data preprocessing workflows.
• Evaluate model performance, robustness, and production readiness.
• Deploy and maintain ML models in collaboration with ml-ops teams.
Data Analysis & Exploration
• Explore large datasets to identify patterns, trends, and hidden relationships.
• Perform statistical analysis and hypothesis testing.
• Distillate open-source datasets by proprietary data via LLM agents
• Detect anomalies, outliers, and unexpected metric movements.
• Translate business or product questions into analytical tasks.
Data Pipelines & Infrastructure
• Work with data pipelines and streaming data systems.
• Process and transform large datasets using Python and SQL.
• Work with event streams and messaging systems (Kafka).
• Contribute to data quality monitoring and dataset validation.
• Work with analytical databases and data warehouses.
Model Monitoring & Experimentation
• Design experiments and evaluate model performance in real environments.
• Implement monitoring for model performance and data drift.
• Support A/B testing and experimentation frameworks.
• Improve models based on production feedback and metrics.
Cross‑Functional Collaboration
• Work closely with ML engineers, data engineers, and product teams.
• Communicate model results and analytical insights clearly.
• Contribute to the development of ML best practices within the team.
You’ll thrive here if you have
• Strong Python programming skills for data science and machine learning.
• Experience working in
Jupyter / Python notebooks
for experimentation and analysis.
• Strong experience with
pandas and numerical data processing
.
• Experience with
SQL databases
and complex analytical queries.
• Experience working with
ClickHouse
or other analytical columnar databases.
• Experience working with
Kafka or other streaming data platforms
.
• Experience building and evaluating machine learning models using libraries such as
scikit‑learn, XGBoost, LightGBM, or similar
.
• Understanding of
statistics, probability, and experimental design
.
• Experience working with large datasets and data preprocessing pipelines.
Nice to Have
• Experience with
deep learning frameworks
(PyTorch or TensorFlow).
• Experience deploying ML models to production environments.
• Experience working with
Computer Vision models
(OpenCV, CNNs, object detection frameworks).
• Experience with distributed data processing or large-scale ML systems.
• Familiarity with ML monitoring, experiment tracking, and model versioning tools.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
A culture of recognition: a peer reward program to celebrate your contributions.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.
Recruitment process
HR interview (40 min);
Technical interview (1.5 hour);
Final interview (60 min).
Location: United Kingdom; United States; New York; Poland; London; San Francisco; Canada
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
THE ROLE
ElevenLabs is scaling globally at extraordinary speed, growing from 400 to 1,000+ by the end of 2026. We operate across 46+ countries, with a highly distributed workforce spanning researchers, engineers, GTM teams, operators, creatives, and frontier AI specialists. Compensation and total rewards are core to how we attract and retain the best builders in the world.
This environment is inherently complex. Different regulatory frameworks. Different talent markets. Different role archetypes. High volatility in frontier AI compensation benchmarks. That complexity is not a constraint, it’s the challenge.
We are looking for someone to own and evolve our global compensation and total rewards strategy, designing systems that are competitive in frontier AI markets, internally consistent, globally scalable, and built for long-term sustainability.
You will operate as the single point of accountability for compensation architecture across the company, partnering closely with Operations, Legal and Finance.
If you’re energized by solving hard global compensation problems, building clarity across diverse markets, and designing systems that scale globally without slowing the company down, this role is for you.
KEY RESPONSIBILITIES
COMPENSATION STRATEGY & PHILOSOPHY
- Own and continuously refine ElevenLabs’ global compensation philosophy.
- Ensure pay, equity, and incentives reinforce attraction, retention, and performance.
- Balance market competitiveness with internal equity and financial discipline.
- Serve as a trusted advisor on complex, high-impact compensation decisions.
JOB ARCHITECTURE & LEVELING
- Design systems that introduce rigor without slowing the company down.
- Evolve our structure intentionally to match our scale: mature enough to support 46+ countries and a diverse set of roles, but not over-engineered or bureaucratic.
- Drive clarity and consistency in job architecture, leveling frameworks, and compensation bands globally.
EQUITY & LONG-TERM INCENTIVES
- Design equity programs that reflect a core ElevenLabs belief: employees should be genuine owners in the company and invested in our long-term ambition.
- Own our equity philosophy, structure, and grant strategy.
- Partner with Finance and Legal on equity design, refresh cycles, and promotion grants.
COMPENSATION CYCLES & GOVERNANCE
- Assist annual compensation reviews end-to-end.
- Design clear off-cycle governance and decision frameworks.
- Build calibration rigor and tooling that scales globally.
- Introduce AI-enabled workflows where appropriate to improve speed and consistency.
- Act as the final escalation point for leveling and pay consistency decisions.
BENEFITS & TOTAL REWARDS
- Own global benefits strategy across a distributed workforce.
- Balance standardisation with regional relevance.
- Ensure benefits are competitive in frontier talent markets while remaining operationally scalable.
WHAT WE’RE LOOKING FOR
EXPERIENCE
- 5+ years in Compensation or Total Rewards, ideally in high-growth technology companies that operate across multiple countries
- Ownership of equity programs
- Strong track record of building compensation systems that scale
- Experience designing and evolving job architectures and leveling systems
- Experience operating in fast-scaling, ambiguous environments
SKILLS & ATTRIBUTES
- First-principles thinker: approach problems without bias
- Hands-on builder: comfortable designing systems from scratch
- Strong analytical skills: the ability to translate data into clear, strategic recommendations
- Comfortable partnering with senior leaders and influencing decisions in complex, fast-moving environments
- Excellent communication skills
- High standards and high ownership
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: United Kingdom
Workplace: Remote
We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them.
This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells.
What you will be doing:
- Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win
- Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives
- Install Coder on cloud and on-prem Kubernetes or VM infrastructure
- Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals
- Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact
- Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product
- Track and report product issues and feature requests using Linear
- Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation
- Contribute pull requests to Coder’s documentation
What you bring:
- Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling
- Strong customer-facing skills that win trust with technical stakeholders
- Ability to translate technical hurdles into business value in real time
- Understand agentic AI software development use cases and advocate passionately where appropriate
- Comfortable leading architecture demos and deep-dive troubleshooting sessions
- Deep Linux fundamentals and comfort at the command line
- 3+ years hands-on with Docker and Kubernetes
- Experience with AWS, Google Cloud, or Microsoft Azure
- 3+ years with Terraform or comparable infrastructure-as-code tooling
- Solid grasp of networking: ingress controllers, proxies, load balancers
- Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them
- Startup-speed execution, ownership mindset, and a player-coach attitude
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Success at both high-growth startups and larger software vendors
- Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools)
- Background in CI/CD, DevOps, or developer-platform products
- Experience in platform engineering or developer platform teams
- Kubernetes, AWS, or related certifications
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Core owns the foundational journeys that define a user's relationship with OKX: account management, identity verification, moving and securing funds, and the risk, compliance, and customer support experiences that sit alongside them. It also covers the internal enterprise tools our support agents, PMs, and operations teams rely on every day to serve customers and run the business. These are among the most consequential surfaces in the product. They determine whether users feel confident enough to trade, whether they trust us with their assets and their data, and whether the teams behind the scenes can resolve issues quickly and well.
AI is central to how Core works and what Core builds. On the product side, we design AI-powered support and assistant experiences that help millions of users get answers and resolve issues in real time. Internally, we are an AI-native team: we use AI to move faster, sharpen our thinking, and raise the quality of what we ship, and we design the AI-native tools our internal teams depend on. If you are excited to design with AI and to shape how AI shows up for both customers and colleagues, this is a place to do it at scale.
As a designer on Core, you'll take ownership of these high-stakes experiences end to end. The problems are genuinely hard. You'll design across markets with fundamentally different regulatory requirements, from newly regulated regions to our established global user base, and your work will need to satisfy strict compliance and security standards while still feeling fast, clear, and reassuring. You'll partner closely with product, engineering, legal, and compliance, shaping requirements early rather than executing them late. This is work where the details carry real weight. If you want to influence how millions of users experience crypto at its most critical moments, and how the teams supporting them get their work done, Core is one of the most impactful places to do it at OKX.
What You’ll Be Doing
Own complex, high-stakes journeys end to end across account, assets, compliance, or support, taking them from problem definition to shipped, polished execution.
Design AI-powered experiences, from customer-facing assistant and support flows to AI-native internal tools, thinking through how people and AI work together, and where trust, transparency, and control matter most.
Partner with product, engineering, legal, compliance, and risk to define the real problem, then design solutions that balance regulatory and security requirements with a genuinely good user experience.
Produce the full range of design artifacts as needed: user flows, journey maps, wireframes, high-fidelity designs, and interactive prototypes, backed by evaluative research.
Work in an AI-native way, using AI to accelerate exploration, prototyping, and decision-making, and helping raise the bar for how the team designs.
Shape the design vision for your area alongside UX Research, UX Writing, and product leadership, and influence the roadmap early rather than delivering to it.
Raise the quality bar through design reviews, critique, and workshops, and bring rigor to ambiguous, high-consequence problems.
What We Look For In You
We hire against a shared set of competencies. Beyond craft, we look for how you think, decide, collaborate, and drive work forward.
Craft and expertise.
Deep design craft with a sharp eye for detail, and up-to-date knowledge of your field. You analyze problems methodically and turn them into simple, effective solutions you can execute end to end.
Judgment in ambiguity.
You cut to the root of a problem, make sound calls even with incomplete information, and find the optimal path rather than the obvious one. Core problems are rarely clean, and good judgment is what keeps users safe.
Business and product sense.
You understand how the business works and where it's heading, and you connect design decisions to strategy, metrics, and real outcomes, not just the screen in front of you.
Collaboration and communication.
You communicate with clarity and precision, build genuine trust with product, engineering, legal, and compliance, and give and seek feedback that raises the whole team's work. Partners see you as a collaborator, not a service function.
Drive and curiosity.
You ask why before you design, stay resilient when problems are hard or ambiguous, and keep pushing your craft and ideas forward. You question the brief rather than just building it.
AI fluency.
Genuine fluency and enthusiasm for AI. You already use AI tools in your own work, and you're excited to design AI-driven experiences, not just adopt the buzzword.
Experience designing complex, multi-step flows, ideally in fintech, crypto, or another regulated or high-trust domain.
3+ years of experience shipping end-to-end design solutions in cross-functional teams at a tech company.
Nice to Haves
Experience designing AI or conversational interfaces, or a track record of using AI to change how you work as a designer.
Interest in designing complex internal tools and operational workflows, not just customer-facing surfaces.
Exposure to data-informed design. You're comfortable interpreting user insights, behavioral data, or A/B test results.
Familiarity with design systems and the ability to scale consistency across platforms.
Prototyping skills to bring ideas to life and communicate transitions or microinteractions.
Experience working across time zones with distributed teams. You know how to stay aligned and communicate with clarity.
A degree in design, HCI, or a related field.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: London
Workplace: Hybrid
Why loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams.
The impact you’ll have:
As our Senior CRM Executive, you will play a key role in delivering and improving CRM campaigns and customer journeys across our channels. You’ll be close to the detail of campaign build, journey optimisation and performance, with the opportunity to grow your ownership over time.
You’ll work closely with the CRM Manager, Head of CRM and wider Marketing, Product and Engineering teams to turn agreed customer opportunities and briefs into well-executed campaigns and journeys. You’ll help move us away from legacy campaign cycles by building reliable, increasingly automated lifecycle activity. We are looking for a thoughtful, high-velocity operator who can turn clear direction into accurate live journeys.
Your day-to-day:
- You’ll build and maintain multi-channel automated journeys using branching logic, API triggers, and real-time data, working from agreed briefs and priorities.
- Identify manual bottlenecks and support the implementation of AI-assisted workflows, using tools like n8n and Claude (training will be provided).
- Use Braze to identify optimisation opportunities within your journeys and help make delivery faster, more accurate, and more consistent.
- Provide hands-on campaign support to the wider team in deploying campaigns. You’ll ensure accurate execution through rigorous, increasingly automated QA processes.
- Work collaboratively with Marketing, Product and Engineering to deliver agreed workstreams and help create a frictionless experience from search to rebooking.
- Monitor the performance of your campaigns and journeys. You’ll be comfortable using Looker to maintain reports, monitor health metrics, and surface actionable insights that support optimisation.
Your skillset:
- You are a reliable operator who takes ownership of your assigned campaigns and journeys from brief through deployment. You ask the right questions, flag risks early, and deliver with consistency and precision.
- You can move from a clear brief to deployment rapidly, maintaining high standards and following agreed processes.
- You are naturally curious and look for practical ways to improve processes, reduce manual tasks, and make delivery more efficient.
- You have experience with Looker, Tableau, or SQL, and BQ and confidence using data to monitor performance.
- Hands-on experience with Braze or similar. You should be comfortable with Liquid logic, audience segmentation and personalisation.
- You are comfortable working with data models and propensity scores to support relevant segmentation and measure campaign impact.
- The ability to work well across Marketing, Product, and Engineering teams, taking direction and communicating clearly to keep delivery on track.
Desirable:
- Experience supporting CRM activity across multiple international markets, including handling localisation, consent frameworks, and currency differences within automated journeys
- Familiarity with n8n or similar workflow automation tools
- Experience writing Liquid logic for content personalisation
- Exposure to AI-assisted workflows or agentic tooling
- Background in travel, marketplace, or another high-frequency transactional category
The interview journey:
1. Meeting with a member of the Talent Acquisition team - 20 minutes
2. Virtual Interview with Hiring Manager
3. Final Stage interview in office presenting pre-determined task and a meeting a few stakeholders - 1 hour 30 mins
Perks of joining us:
- Company pension contributions at 5%.
- Individualised training budget for you to learn on the job and level yourself up.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
- Ability to buy and sell annual leave.
- Cycle to work scheme, season ticket loan and eye care vouchers.
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
Location: Remote - Ireland
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Software Engineer (L2) - for Voice Trust: helping ensure Twilio’s Voice customers have reliable voice communication with their customers that ensure their customers will answer their calls.
About the job
This position is needed to add to our Voice Connectivity Trust team to enable Twilio to better support our customers using Voice in their solutions. As a Software Engineer on this team you will participate in all phases of the software development life cycle which includes requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. This engineer will own, operate and maintain their teams’ services in a distributed production environment, employing Agile methodologies to continuously deliver value to customers.
Responsibilities
In this role, you’ll:
Be an owner:
Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them
Wear the customer's shoes:
Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions
Write it down:
Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects and cross functional teams
Be bold:
Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity
Draw the owl:
Figure out novel ways of solving customer problems for the Voice channel
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 2+ years of hands-on experience in a large scale, distributed applications environment on JVM based technologies
Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
Understanding of CI/CD pipelines
Hands on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure
Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance)
Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability
Strong Java fundamentals with the ability to architect, review, and debug code whether written by you, teammates, or AI agents
Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples
Bachelor's degree in Computer Science or a related engineering field
Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
Able to work well in a team setting and both highly motivated and motivating
Desired:
Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana)
Can demonstrate how you effectively use AI to deliver value efficiently
Experience scaling data tiers employing a variety of SQL/NoSQL database and caching technologies
Hands on experience scaling production backend systems, with the proven ability to design and develop horizontally-scalable, resilient and performing-under-load systems
Knowledge and experience working with SIP protocol
Knowledge and experience working with Stir/Shaken protocol
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.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams.
What you’ll do
Enable effective execution with Quality and Speed, in partnership with the team’s Product Manager
Ensure 3+ 9s availability of Dedicated infrastructure, ensuring security and automating for maximum scalability and number of tenants.
Provide clear direction, meaningful feedback and foster an environment where meaningless toil gets ruthlessly automated and Devops ownership is enforced.
Continuously improved owned artifacts in a direction of optimizing platforms for self-service ownership of production for feature implementers.
Recruitment, onboarding and development of excellent and productive team members.
Be a role model for the team: provide Proof of concepts, agentic mindset and extreme simplification of processes and removal of human toil. Show and Tell, not only Tell.
Role model Incident Management best-practices, lead in fast resolutions, escalations and train and codify best practices to the whole of GitLab
Data driven approach to prioritization, impact quantification and management of risk and technical debt.Able to use AI to demonstrate concepts and translate technical complexity to drive stakeholder decisions.
What you’ll bring
Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy
Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there
Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps
A history of building and managing high-performing, accountable team cultures, including managing out when necessary
Comfort driving complex projects to completion without relying on a dedicated TPM
Experience leading distributed and remote teams effectively
About the team
The Enterprise Platform team focuses on delivering the infrastructure and operational capabilities that let large, security-conscious customers run GitLab on their own terms. Within that group, the Dedicated team builds and operates GitLab Dedicated, our single-tenant SaaS offering that gives customers full data and source code isolation, private networking, and data residency in the AWS region of their choice — all deployed and maintained by GitLab with zero infrastructure overhead for the customer. We work asynchronously across regions and partner closely with Cell Infrastructure, Security, Compliance, and the Duo Agent Platform teams to extend agentic AI capabilities and multi-cloud support into single-tenant environments without compromising isolation guarantees.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Tokyo, Japan
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As a first-line leader directly managing a team of Outcomes Architects, you’ll own your team’s execution across workflow adoption, value realization, renewal readiness, expansion qualification, and at-risk account recovery — accountable for both the customer outcomes and the quality of execution that produces them.
This isn’t a traditional Customer Success management role. The best OA Managers are coaches first: they know what great workflow discovery looks like, can review a mutual success plan and identify where value realization is breaking down, can inspect an executive business review and sharpen the value narrative, and can help an OA turn account activity into measurable customer and commercial outcomes.
You’ll run an inspection cadence and cultivate a coaching culture that make consistent execution possible across the team. You’ll partner closely with Solutions Consultant leaders, Services, Support, Product, and RevOps to ensure customers move from workflow design to adoption, value realization, expansion, and renewal readiness.
If you’re a builder who loves developing people as much as driving customer impact — and you want to lead a team in a post-sales motion that’s being redefined for the AI era — this is the role
WHAT YOU’LL ACHIEVE
- Own the Net Revenue Growth performance of your team’s book of business, accountable for both headline outcomes and the quality of execution that drives workflow adoption, value realization, renewal readiness, and expansion.
- Coach OAs on the OA builder motion: AI Transformation Plans, build-beside workshops, value reviews, use-case consultations, and renewal processes.
- Build and run the operating cadence for the team: metrics reviews, account support sessions, adoption and renewal-risk reviews, call coaching against the OA quality rubric, and forecast calls with senior leadership.
- Hire, onboard, and certify new OAs to the GTM builder motion, driving readiness from ramp through consistent execution and managing performance with clarity when expectations are not met.
- Partner closely with Solutions Consultant managers and leaders on strategy for expansion and renewal across shared accounts, ensuring clear ownership for flat and at-risk renewals.
- Partner with Services leadership to identify complex implementation needs early, create clear handoffs, and ensure Services delivery accelerates workflow adoption and measurable value.
- Set the standard for product, AI, and workflow fluency across the team so OAs can help customers navigate new ways of working and build durable systems in Notion.
- Represent your team or region in leadership forums with clear signal on what's working, what needs investment, and where execution is breaking down
- Uphold excellence by coaching to the global OA methodology, quality rubric, and activity KPIs.
SKILLS YOU’LL NEED TO BRING
- Frontline management experience leading customer-facing GTM teams in B2B software, ideally across Customer Success, Solutions Consulting, Technical Account Management, Professional Services, Account Management, or post-sales strategy.
- Direct experience coaching teams through customer discovery, workflow design, adoption planning, value realization, renewals, expansion, or technical/workflow implementation.
- Strong coaching orientation: you can review a customer call, account plan, mutual success plan, or executive value narrative and identify specifically what needs to change — not just whether the outcome was good, but why and how to improve it.
- Commercial instincts at the team level: able to read account health, renewal risk, adoption depth, expansion potential, and customer sentiment, then drive urgency without micromanaging every account.
- Deep customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical adoption and implementation plans.
- Experience operating in a shared account ownership model with Sales, Solutions, Services, Support, or Implementation teams.
- Operational rigor: you know how to build inspection cadences, coaching rituals, performance standards, and accountability systems that improve execution across a team.
- Ability to develop talent from onboarding through consistent performance, including hiring to profile, setting clear expectations, coaching skill gaps, and managing performance with clarity.
- Executive communication skills: able to synthesize account patterns, customer risks, team performance, and cross-functional asks into clear signal for leadership.
- Technical fluency and presence as a trusted advisor. You do not need to build every workflow yourself, but you should be able to understand Notion systems, coach workflow design, and help your team troubleshoot adoption blockers.
- You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems.
- You don’t need to be an AI expert, but you’re curious, hands-on, and willing to adopt AI tools to work smarter, coach better, and help customers deliver better outcomes.
NICE TO HAVES
- Experience managing in a consumption, usage-based, or product-led business where adoption signals matter as much as renewal or expansion outcomes.
- Track record building high-performing frontline teams from an early stage: hiring to profile, structured onboarding, certification, coaching, and performance management.
- Experience leading teams through GTM motion changes, coverage-model shifts, or evolving commercial ownership.
- Experience working with flat, at-risk, or complex renewal accounts and helping teams return customers to a clear value path.
- Experience partnering closely with Solutions Consulting, Sales, Services, or Implementation teams in a shared customer lifecycle model.
- Familiarity with AI transformation, workflow automation, agents, or collaboration/work management software.
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end.
Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively.
The team / how they connect
You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions.
The team is currently working on / Initially, you will focus on
- Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP.
- Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite.
- Developing reusable automation patterns and shared templates to be used by the business
- Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows.
Where and how you can work
At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding.
Here are some of the things we are looking for
- You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure.
- Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini.
- You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks.
- A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront.
- You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs.
- You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication.
Compensation Philosophy
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The base salary range for this role in Canada is $240,000 - $260,000 CAD.
Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include:
- Variable Pay: Eligibility commissions or equity based on role and performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs.
- Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role
San Francisco; New York City
San Francisco; New York City
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
London, UK
ГибридГеография найма не уточнена
ГибридLimassol, Cyprus; EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family; Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free
УдалённоUnited Kingdom; United States; New York; Poland; London; San Francisco; Canada
УдалённоseniorUnited Kingdom
seniorSingapore, Singapore; Experience working across time zones with distributed teams
