Location: Mississauga, Ontario
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.
Job title: Senior Software Engineer
About the role:
You will join a high-impact team transforming healthcare through technology. Our platform
connects fragmented clinical systems to enable real-time care coordination across
thousands of healthcare facilities, serving millions of users. You will design and build
scalable platform services, leveraging modern AI-augmented engineering practices to
accelerate delivery, improve reliability, and enhance clinical and operational outcomes
What your day-to-day will look like:
• Build robust platform services supporting clinical operations
• Partner with product and clinical teams to understand and solve real workflow
challenges
• Drive architectural decisions for business platform services
• Own the reliability and performance of critical healthcare solutions
• Mentor team members on modern engineering practices
What qualifications we’re looking for:
Required Technical Experience
•Strong track record building and shipping production software in modern languages
(Java, Python, or similar)
• Deep understanding of cloud-native architecture and distributed systems design
patterns
• Expertise in design, optimization, and scaling for relational (SQL) database
systems, bonus points for NoSQL database systems
• Experience designing and implementing RESTful APIs and microservices
• Proficiency with test-driven development, automated testing, and maintaining high
code quality
• Hands-on experience with modern frontend frameworks, primarily React or Vue.js.
• Working knowledge of CI/CD pipelines and infrastructure-as-code practices
• Experience with production observability, monitoring, and performance
optimization tools
Modern Engineering Practices
• Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude
Code) as part of your workflow
• Experience applying AI tools throughout the development lifecycle from
requirements analysis, documentation to incident response
• Strong code review skills demonstrated through giving and receiving constructive
feedback
• Experience with Git workflows and collaborative development practices
• Ability to balance feature delivery with system reliability and technical excellence
• Comfortable with on-call responsibilities and incident response
What Would Make You Stand Out
• Experience building and scaling SaaS platforms
• Track record of mentoring engineers or leading technical initiatives
• Background with Spring Boot and Java ecosystem
• Experience with Azure cloud services and Kubernetes (AKS)
• Experience in healthcare technology or regulated industries
• Understanding of HIPAA compliance and handling sensitive data
Our Stack
• Front-End: React/Vue JS, Micro-Frontends, Material-UI
• Backend: Java, Spring Boot
• Data: PostgreSQL, MSSQL, Redis
• CI/CD: GitHub Actions, Jenkins
• Infrastructure: Azure, AKS, Terraform
• AI Tooling: Claude Code, Copilot
#LI-AJ1
#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 $142,000-158,000 (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: London
Workplace: Hybrid
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: San Francisco; Palo Alto
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: San Francisco; Palo Alto; New York City
We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us.
WHAT YOU WILL WORK ON
Examples of real work the team does:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
GOOD IF YOU TOUCHED ANY OF
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Location: London
We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
RESPONSIBILITIES:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR:
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
NICE-TO-HAVE:
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS:
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Final offer amounts are determined by multiple factors including experience and expertise.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Location: Colombia; Mexico; Argentina; Brazil; Costa Rica
We are seeking an
Engineering Manager – Mechanical & Electrical
to lead and develop a distributed team of LATAM-based engineering resources.
This role is
mechanically driven
, with strong responsibility for design quality, execution, and manufacturability, while also overseeing electrical engineering integration.
You will act as the
key bridge between U.S.-based stakeholders and LATAM execution teams
, ensuring all deliverables are accurate, aligned, and delivered on time.
This is a
technical leadership role
, requiring deep involvement in engineering work, not a people-only management position.
Engineering Leadership & Team Management
Lead and develop LATAM-based CAD Technicians, Drafters, Mechanical Design Engineers, and Electrical Engineers
Set clear expectations for quality, delivery, and technical rigor
Assign and prioritize work across multiple programs
Mentor engineers to improve technical capabilities and execution
Provide performance feedback and support ongoing development
Mechanical Engineering (Primary Focus)
Own mechanical design execution across modular systems, enclosures, and industrial structures
Review and approve designs for accuracy and manufacturability
Ensure proper application of materials, tolerances, and fabrication methods
Drive design-for-manufacturability (DFM) and design-for-assembly (DFA) best practices
Partner with Manufacturing Engineering to align designs with build strategies
Electrical Engineering Oversight
Provide leadership and oversight for electrical engineering deliverables
Ensure clean integration between electrical systems and mechanical layouts
Review schematics, layouts, and documentation for completeness and consistency
Coordinate and resolve mechanical–electrical interface challenges
Standards, Quality & Governance
Establish and enforce engineering standards, templates, and best practices
Ensure consistent use of CAD tools, drawing standards, and revision control
Maintain quality control across engineering output from LATAM teams
Support engineering change management and design revisions
Cross-Functional Collaboration
Collaborate with Engineering, Manufacturing, Supply Chain, and Program teams
Translate project requirements into clear engineering work packages
Support project timelines, milestones, and risk identification
Act as a technical escalation point for complex design challenges
Global Team Execution
Manage distributed teams across time zones with clear communication and structure
Ensure alignment between stakeholders and LATAM engineering execution
Drive accountability without micromanagement
Build repeatable workflows for offshore engineering support
Technical Review & Risk Management
Review complex designs for technical risk, cost drivers, and manufacturability concerns
Identify issues early and drive corrective action
Ensure designs meet compliance, safety, and customer requirements
Requirements
Must-Have
Bachelor’s degree in Mechanical Engineering or related discipline
10+ years of experience in industrial, modular, or engineered-to-order environments
5+ years of experience leading engineering teams
Strong mechanical engineering background with design experience
Experience managing remote or distributed teams
Ability to review and approve mechanical and electrical designs
Strong communication and technical leadership skills
Nice-to-Have
Experience with modular systems, enclosures, or industrial equipment
Experience working with CAD teams and drafting resources
Familiarity with SolidWorks and SolidWorks Electrical
Experience integrating mechanical and electrical systems
Experience working with LATAM or offshore engineering teams
Exposure to manufacturing, fabrication, or production environments
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Remote Oregon; Remote Washington; Remote California; Remote Idaho; Remote Nevada
Workplace: Remote
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com.
We are looking for a stellar Director of Finance to join our team! Reporting directly to the CFO, you will own the FP&A function and play an important role in shaping the company’s financial strategy. This is a high-impact position for a strategic thinker who is not afraid to "roll up their sleeves." You will be the bridge between financial data and executive strategy, ensuring our plans and investments are both strategic and sustainable.
WHAT YOU'LL BE DOING
- Financial Planning: Lead the annual budgeting and rolling forecast processes, delivering clear, data-driven insights to the CFO and the Board. Drive predictability, accountability, and strategic alignment across the organization;
- Business Partnership: Serve as a trusted advisor to the leadership team. You won't just report numbers; you'll provide the "why" behind them to influence business decisions;
- FinOps & Cloud Infrastructure: Serve as the financial lead for cloud spend, partnering with Engineering and Cloud Operations to analyze cost drivers, drive optimization initiatives, manage cloud vendor contracts, and secure optimal commercial terms to improve gross margin;
- Revenue Operations: Serve as a key partner to Sales on deal strategy and governance, guiding pricing and negotiations, approving deals, and optimizing for revenue quality and margin. Collaborate with Sales Leadership to design incentive-aligned compensation plans, review quotas, and drive insights on sales productivity;
- Business Intelligence & KPIs: Develop and maintain sophisticated dashboards tracking core business KPIs and performance metrics, driving clarity on unit economics and operational efficiency;
- AI & Finance Analytics: Leverage AI and advanced analytics to improve forecasting, automate workflows, and drive scalable, insight-driven finance operations;
- Executive Support: Support the CFO in high-stakes projects, including Board materials, executive QBR presentations, investor reporting and vendor contract management.
WHAT WE’RE LOOKING FOR
- Bachelor’s degree in Finance, Accounting, or Business. An MBA or CFA is preferred;
- 15+ years of progressive experience in FP&A and Finance Operations within both private and public company settings;
- Strong working knowledge of AWS, GCP, or Azure pricing models and services, with a clear understanding of how infrastructure and architecture decisions impact COGS and margins;
- Highly detail-oriented with a track record of building accurate, scalable financial models and ensuring data integrity across complex datasets;
- Experience applying AI-driven insights and advanced analytics to streamline financial planning, reporting, and data analysis processes, improving efficiency and decision-making;
- A proven ability to "think big" regarding strategy while "diving deep" into the granular details of a dynamic, fast-paced environment;
- Superior interpersonal skills with the ability to translate complex financial data into actionable narratives for non-finance stakeholders, with a proven track record of partnering effectively with Sales teams.
Applications will be accepted on a rolling basis.
Interview Information:
Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage.
We offer fantastic benefits for full time employees; in the US these include:
- Medical/dental/vision insurance with 100% coverage for employees
- Company contribution to your FSA
- Flexible Time Off - take the time you need
- Life Insurance, short and long term disability insurance
- 401(k)
- Wellness programs
- Annual professional development budget
- Financial planning and legal advice
Our Core Values
Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values:
- We value each other
- We get stuff done
- We believe humility drives learning
- We embrace failure
- We are committed to open source
Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData.
InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.
To view our Know Your Rights Poster click HERE https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.
InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place.
Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.
Location: India
About the company
Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms.
Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring.
Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps.
About the role
Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced Odia/Oriya, Gujarati and Kannada subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects.
The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads.
Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance.
Requirements
Responsibilities
Responsible for the creation and QC review of SDH subtitle files using Pixelogic proprietary cloud based subtitling software
Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications
Handle rejections/make corrections in files
Remain current with industry trends, and adapt to evolving client requirements
Maintain the confidentiality of sensitive content.
Requirements:
Native speaker of Odia/Oriya, Gujarati, or Kannada with a strong command of English
Familiarity with additional languages is a valuable plus
At least 2 years of experience in subtitling translation and/or proofreading is essential
Exceptional attention to detail and commitment to accuracy
Proven track record of meeting tight deadlines with flexibility in working hours
Skilled at adhering to technical guidelines and style guides across diverse client content
Location: India
Workplace: Remote
We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Senior Consulting Engineer to join our global team, where you'll provide Consultative Support to our ClickHouse enterprise customers. The role uniquely blends hands-on engineering, development assistance, and high-tier support, performing functions across Consultative Support, Engineering, and Support. You will work directly with a set of strategic customers, providing guidance, case answers, and technical oversight. Consulting Engineers will also be assisting with support cases for customers in our Support L1 to L3 tiers, particularly when not assigned to larger projects.
Responsibilities:
- Project Engineering & Consulting (50%): Serve as a team member on customer projects, focusing on design, architecture, integration, implementation, and documentation. This includes research, benchmarking, performance and functional testing, reference architectures, sizing, migration, integration, development, and tooling.
- Consultative Support (50%): Provide case-initiated consultative support to strategic users, customers, and prospects, assisting with implementation, onboarding, production launches, and Proof of Concepts (POCs).
- Provide architectural, technical, and migration assistance, including hands-on tasks.
- Work as a member of the Support Team, handling L1 to L3 cases and communications when not actively assigned to customer projects.
- Partner closely with ClickHouse Product Management, Engineering, and Sales to contribute to the product roadmap and account plans.
- Develop and assist with a wide range of content, including Public and Internal Documentation, Knowledge Base articles, ClickHouse Learning, Reference Architecture, blogs, and benchmark results.
- Assist with hiring and mentoring new team members as we grow and scale.
- Be available for scheduling and on-call needs to deliver high-quality 24x7 support in a global, distributed environment, including up to 35% estimated onsite regional travel.
Requirements:
- 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles.
- 5+ years of relevant industry experience in implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems ("DBMS").
- Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2)
Bonus points:
- Experience with ClickHouse
- Experience with OSS and open-source technologies, as a user, community member, or contributor
- Experience with Azure, GCP or AWS
- Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others
You'll love this role if:
- You have excellent communication skills and thrive in a customer-facing role, collaborating closely with Support Services, Engineering, and Sales teams.
- You are self-driven, curious, and eager to continuously learn and grow.
- You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems.
- You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
As a Staff SDET, you’ll lead from the front– owning shared automation infrastructure, influencing release quality strategy, and driving initiatives that span teams and systems. This role sits at the intersection of hands-on engineering, architectural leadership, and org-wide quality influence.
You will architect and scale automation utilities/libraries, design and build internal tools that improve developer productivity and test efficiency, and establish testing strategies that ensure high-confidence releases across business-critical systems. You will work cross-functionally across teams and domains to influence quality culture, mentor engineers, and drive initiatives that shape how Fivetran builds and ships software. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable.
This role requires deep technical expertise, architectural foresight, and the ability to scale impact beyond code through systems thinking, tool building, and strategic alignment.
Technologies You’ll Use
Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python (optional)
Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite
Cloud & Platform: AWS, GCP, Azure
Observability & Monitoring: Grafana, Prometheus, Datadog
CI/CD & Automation: Jenkins, CircleCI, GitHub Actions
Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies
Databases: SQL and NoSQL databases (e.g., Postgres, MongoDB)
What You’ll Do
Lead the architecture of internal tools, libraries, and utilities for test automation and benchmarking, enabling scalable quality solutions across teams and domains.
Define and evolve quality strategies covering testability, release readiness, performance, and reliability.
Drive cross-org quality initiatives to improve execution speed, observability, and feedback loops.
Identify systemic risks in business-critical systems and implement robust validation strategies.
Mentor engineers, influence design for testability, and champion best practices across the org.
Collaborate with engineering and product leaders to align testing priorities with platform and business objectives.
Skills We’re Looking For
8+ years of experience in the software industry with a focus on building test automation frameworks, tools, and infrastructure at scale.
Experience defining and driving code quality for tests (review processes, efficiency, maintainability).
Writes critical or common code shared across multiple teams.
Identifies and designs fixes for critical issues concerning core parts of the product.
Contributes to and enforces department-wide coding standards.
Identifies major improvements in product to improve quality and resilience.
Identifies and fixes performance, scalability, and reliability gaps in tests and test frameworks.
Defines testing efficiency and reporting strategies.
Defines guidelines for product releases, including quality gates and readiness criteria.
Expert in design principles and applying them to test architecture.
Strong knowledge of OOP (preferably Java)
Hands-on experience with cloud platforms (AWS, GCP, Azure).
Experience with CI/CD systems (Buildkite, Jenkins, GitHub Actions, CircleCI), modern build tools (Bazel, Maven, Gradle), and observability platforms (New Relic, Datadog, Prometheus, Grafana).
Strong background in infrastructure and container orchestration (Docker, Kubernetes, Temporal).
Strong understanding of data engineering concepts, and large-scale distributed systems.
Demonstrated ability to drive initiatives across multiple teams and influence business-critical systems.
Strong written and verbal communication skills to support complex technical discussions.
Knowledge of ELT pipelines, including testing data integrity, schema evolution, and pipeline reliability.
Demonstrated ability to incorporate AI techniques to improve test efficiency, defect detection, and productivity.
Experience evaluating and adopting emerging quality engineering practices (e.g., shift-left testing, chaos engineering, autonomous testing).
#LI-HYBRID
#LI-PE1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Developer Experience:
You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them.
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 6 years of practical full-stack engineering experience
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are technically proficient in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams.
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:
$320,000
—
$320,000 USD
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: San Francisco, CA | New York City, NY | Seattle, WA
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’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are a technical expert in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Care deeply in investing in the mentorship and growth of your peers
Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 USD
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: London, Vilnius
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
We’re looking for a Senior Technical Product Manager to join our Health Records & Virtual Clinics team. This team is building the foundational infrastructure that powers Flo’s next generation of personalised healthcare experiences. Our mission is to integrate diverse health data sources, from clinical systems and external vendors to user-reported data, including data from wearables directly or via Health Connect/HealthKit into a unified, reliable, and actionable health record. This foundation will enable a new Virtual Clinics direction, delivering personalised, data-driven care journeys at scale.
While this is a deeply technical and data-heavy area, we believe that the true value of health data is unlocked through intuitive, trustworthy, and beautifully designed user experiences. You will partner closely with product design to ensure complex, fragmented health data is translated into clear, intuitive, and user-friendly experiences.
Your Experience
Must have:
7+ years of experience in product management, including experience in platform, data, or infrastructure products
Strong technical background, with experience working on APIs, data pipelines, or distributed systems
Experience integrating third-party vendors, APIs, or complex ecosystems (healthcare experience is a strong plus)
Solid understanding of data modeling, data quality challenges, and trade-offs in building scalable data platforms
Proven passion for building high-quality user experiences, with a track record of partnering closely with design to ship intuitive and elegant products
Ability to translate complex technical systems and data into simple, user-friendly interfaces and flows
Experience working in regulated environments and collaborating with clinical, legal, privacy, and security stakeholders
Proven ability to define and deliver products in ambiguous, fast-moving environments
Strong analytical mindset, with experience defining and tracking metrics for platform/data products
Track record of iterative delivery and experimentation, even within complex technical domains
Excellent stakeholder management and communication skills, with the ability to align cross-functional teams around complex initiatives
Passion for building impactful healthcare products and improving user outcomes through data
What you'll be doing
You'll be responsible for:
Define and execute the product strategy and roadmap for Health Records and data integrations, enabling scalable and secure ingestion of data from multiple vendors and systems
Own the end-to-end lifecycle of health data: from ingestion and normalization to enrichment and activation in downstream experiences
Lead the development of a unified health data model that supports personalised user experiences, clinical use cases, and Virtual Clinics services
Partner with design team to creation of best-in-class UI/UX patterns for surfacing health insights, longitudinal records, and care journeys
Ensure that health data is presented in a way that is actionable, empathetic, and clinically responsible, balancing simplicity with accuracy
Partner closely with Engineering, Data, Clinical, and Legal teams to ensure data accuracy, regulatory compliance, and user privacy. Own the creation of well-scoped product and technical specifications, and actively participate in technical trade-off discussions. Given the tech- and infrastructure-heavy nature of the team, operate as a deeply embedded partner within the squad, not just a stakeholder, contributing to architecture-level decisions and day-to-day execution
Drive vendor integration strategy, including prioritisation, evaluation, and long-term partnership management
Collaborate with AI Platform team to ensure high-quality structured data is available for models and personalised insights
Balance speed and scalability, making high-judgment trade-offs across infrastructure, data quality, and user-facing impact
Establish metrics to evaluate data quality, coverage, and downstream impact on user outcomes and business goals
Stay on top of industry trends in digital health, interoperability, and virtual care, as well as evolving UX patterns in consumer health products
#LI-Hybrid #LI-AJ1
Salary Range - London - gross per year (ranges may vary based on skills and experience)
£91,000
—
£117,000 GBP
Salary Range - Vilnius - gross per month (ranges may vary based on skills and experience)
€7.000
—
€8.500 EUR
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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:
We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Service Infra:
we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.
Platform Portability:
We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.
Platform Intelligence:
You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.
Billing Platform:
Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships:
Claude.ai
, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.
Platform Serving:
You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.
Agentic Systems:
You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production.
Auth & Identity:
We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Platform Safety:
We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API,
Claude.ai
, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
distributed systems, cloud-native products, developer tools, or external developer facing products
Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
Are proficient in Python, Go, Rust, or similar systems languages
Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
Take full ownership of your work—from design through deployment and operations
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
Care about building systems that other engineers love to use
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 USD
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: London
Workplace: Hybrid
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a Solutions Engineer at Linear, you will be the technical guide across the customer lifecycle, from evaluation and close through onboarding and expansion. Partnering most closely with Sales, you will drive revenue by leading technical discovery, demos, proof-of-concepts, and solution design for prospects and existing customers. You will stay engaged through onboarding to ensure technical continuity, and provide clear handoffs to Customer Success that capture context, decisions, risks, and next steps. You will also codify repeatable patterns through demo environments, migration and integration playbooks, and enablement for new sales hires.
Location & work mode
This role is anchored to our London hub. We’re looking for someone who can work from our London office in Shoreditch 3 days per week (Mondays, Tuesdays, Thursdays), with flexibility around scheduling, as this role will be closely connected to in-person collaboration with our growing sales presence in the region.
What You’ll Do
- Act as the customer’s technical advisor across the lifecycle, partnering with Sales and Customer Success to ensure continuity from evaluation through onboarding and expansion, with a primary focus on pre-sales revenue impact.
- Lead technical discovery and architecture for strategic prospects and existing customers; translate customer workflows into Linear configuration, data model, permissions, and integration patterns.
- Run pre-sales technical evaluations end-to-end: deliver tailored deep-dive demos, proof-of-concepts, security and architecture reviews, and integration workshops that remove deal risk and accelerate time to close.
- Design and execute migrations and implementation plans that set customers up for long-term success; provide clear handoffs to post-sale teams (context, decisions, risks, and next steps).
- Build and maintain realistic, scalable demo environments and reference configurations that mirror enterprise workflows and enable Sales to tell a credible, repeatable story.
- Codify lifecycle playbooks and enablement: create technical training for sales and post-sale teams, curate exemplars, and continuously improve the technical sales motion.
What We’re Looking For
- 5+ years in a Solutions Engineering, Pre-Sales, or similar role at a high-growth SaaS company, with experience supporting enterprise-scale deals.
- Strong hands-on experience with OAuth2 and GraphQL, data migrations, and product integrations
- Excellent communication skills—able to present complex technical concepts clearly to both engineers and executives
- Experience with Github and git; Linear and/or Jira strongly preferred
- Proven ability to build realistic, scalable demo environments and troubleshoot production issues
- CS degree or engineering background strongly preferred
- Collaborative mindset with experience partnering across Sales, Product, and Customer Success teams
- Comfort with SQL and scripting (e.g., Python or JavaScript)
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
Learn how we think and work:
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- A story about our mission: Read Me https://linear.app/readme
- A video series: Conversations on Quality https://linear.app/quality
- Karri’s Every interview: Most SaaS Companies Got AI Wrong. Linear Waited. https://www.youtube.com/watch?v=8QcW9-dal0g
- Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Location: Remote, Global
Workplace: Remote
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
Auth https://supabase.com/auth, written in Go https://github.com/supabase/auth (server) and with client libraries for TypeScript https://github.com/supabase/supabase-js, SSR https://github.com/supabase/ssr and for other frameworks and technologies, is one of the most popular products in the Supabase stack. We are seeking someone to help us build new and maintain existing Auth features.
WHAT YOU’LL BE RESPONSIBLE FOR
- Designing and implementing secure, scalable authentication features in Go and TypeScript.
- Working across the stack: from server-side protocols to client-side libraries for frameworks like Next.js.
- Owning the performance, reliability, and scalability of the Auth server across Supabase's infrastructure.
- Contributing to the evolution of our Auth architecture, including support for OAuth, OIDC, SAML, and other protocols.
- Planning and executing safe database migrations across a large fleet of Postgres instances.
- Building and improving observability: metrics, tracing, alerting, and dashboards to keep the system healthy at scale.
- Writing and reviewing RFCs as part of our product development process.
- Collaborating with engineers across Supabase to ensure a seamless experience for developers using our tools.
- Supporting the community and responding to developer feedback on GitHub, Discord, and other channels.
YOU MIGHT BE A GOOD FIT IF YOU
- (Required) Have 4+ years of professional experience writing and shipping Go in production.
- (Required) Have 2+ years of professional experience working on an authentication system (implementing protocol support, maintenance at scale).
- (Required) Have strong relational database experience (Postgres or MySQL); Postgres experience is a bonus.
- Have strong knowledge of TypeScript in addition to Go (languages used daily).
- Have strong knowledge of web technology fundamentals (cookies, sessions, JWT, HTTP, browser APIs).
- Have good knowledge of and deep interest in authentication security (passwords, protocols such as OAuth, OIDC or SAML, cryptography fundamentals such as hash functions, signatures and ciphers).
- Have experience working with multiple web frameworks like Next.js (or other SSR alternative in the JavaScript space) and traditional web frameworks like Ruby on Rails, Django, Laravel or equivalent (in any language).
- Have good technical writing skills (RFC process is an important part of making changes to the Auth product).
- Have hands-on experience building and operating services at significant scale.
- Have deep understanding of systems-level concerns: memory management, concurrency patterns, and compute resource optimization in Go.
- Have experience with Kubernetes and AWS (or comparable cloud platform) in a production setting.
- Have solid grasp of observability practices — metrics, distributed tracing, structured logging, and alerting (e.g., Prometheus, Grafana, OpenTelemetry).
- Have experience managing database schema migrations safely at scale.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Europe
Workplace: Remote
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
We’re looking for a Principal Engineer to join the ML Platform team at Synthesia.
Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently. This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented, so that workflows can increasingly be operated through reliable tooling rather than manual effort.
We’re looking for a strong generalist with a systems mindset:
- someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice.
- this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments.
This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it.
WHAT YOU’LL DO
- Design and improve the platform systems that support model training, evaluation, and production serving.
- Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient.
- Develop internal tools and workflows that are easy to operate both by humans and by agents.
- Work on the architecture behind how models are deployed, served, and operated across research and product environments.
- Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.
- Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers.
- Drive improvements across observability, automation, reliability, and developer experience.
- Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities.
- Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows.
YOU’LL THRIVE IN THIS ROLE IF YOU HAVE
- Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
- A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
- Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
- Experience with Kubernetes and operating distributed workloads in production.
- Strong coding skills, ideally in Python or similar languages used for backend systems and tooling.
- Strong judgment around where automation adds leverage, and where human control and reliability matter most.
- Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers.
- Comfort working in ambiguous environments and taking ownership of open-ended technical problems.
- A pragmatic approach: you care about solving the right problem well, not over-engineering.
PARTICULARLY RELEVANT EXPERIENCE
- Operating ML infrastructure or model serving systems in production.
- Supporting research or data-intensive workloads.
- Working with GPU-based systems or other performance-sensitive infrastructure.
- Experience with observability and debugging in distributed systems.
- Familiarity with Terraform, Datadog, GitHub Actions, or similar tools.
BONUS POINTS FOR
- Experience building agentic or LLM-powered internal tools.
- Experience with workflow orchestration systems such as Temporal.
- Experience working at the boundary between research and production engineering.
- Familiarity with performance optimization, scheduling, or resource allocation problems.
- Experience building lightweight product or developer-facing tools.
ГибридLondon
San Francisco; Palo Alto
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